From 23e9217ad08c477013f09f1b3508684c761263e1 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 15 Sep 2021 16:00:03 +0800 Subject: [PATCH 01/61] interact plot ass __init__ file --- stereo/plots/interact_plot/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 stereo/plots/interact_plot/__init__.py diff --git a/stereo/plots/interact_plot/__init__.py b/stereo/plots/interact_plot/__init__.py new file mode 100644 index 00000000..e69de29b From 70f74232fc005281dd7c098ca706493726f4c205 Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Sat, 9 Oct 2021 15:10:53 +0800 Subject: [PATCH 02/61] fix bug of seed setting in SCT. --- stereo/algorithm/pysctransform/pysctransform.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/stereo/algorithm/pysctransform/pysctransform.py b/stereo/algorithm/pysctransform/pysctransform.py index d3b174e5..3408a431 100644 --- a/stereo/algorithm/pysctransform/pysctransform.py +++ b/stereo/algorithm/pysctransform/pysctransform.py @@ -555,6 +555,7 @@ def vst( if n_cells is None and n_cells < umi.shape[1]: # downsample cells to speed up the first step + npy.random.seed(1448145) cells_step1_index = npy.random.choice( a=npy.arange(len(cell_names), dtype=int), size=n_cells, replace=False ) @@ -589,7 +590,7 @@ def vst( if (n_genes is not None) and (n_genes < len(genes_step1)): # density-sample genes to speed up the first step sampling_prob = dds(genes_log10_gmean_step1) - + npy.random.seed(14) genes_step1_index = npy.random.choice( a=npy.arange(len(genes_step1)), size=n_genes, replace=False, p=sampling_prob ) From afe9c596017adeeb71655e8785f4eb7ea1f1a9e2 Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Fri, 15 Oct 2021 15:10:22 +0800 Subject: [PATCH 03/61] add hotspot func. --- stereo/algorithm/get_hotspot.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/stereo/algorithm/get_hotspot.py b/stereo/algorithm/get_hotspot.py index 032f7f5f..73eb0f0b 100644 --- a/stereo/algorithm/get_hotspot.py +++ b/stereo/algorithm/get_hotspot.py @@ -1,14 +1,14 @@ #!/usr/bin/env python3 # coding: utf-8 """ -@file: hotspot.py +@file: get_hotspot.py @description: @author: Yiran Wu @email: wuyiran@genomics.cn @last modified by: Yiran Wu change log: - 2021/8/19 create file. + 2021/10/14 create file. """ import copy @@ -22,7 +22,7 @@ from ..preprocess.filter import filter_genes -def get_hotspot(data,model='normal',n_neighbors=30,n_jobs=20): +def get_hotspot(data,model='normal',n_neighbors=30,n_jobs=20, min_cell = 0, outdir=None): # Load the counts and positions # counts_file = '/Users/wuyiran55/Documents/jupyter/test/slideseq_data/MappedDGEForR.csv' # pos_file = '/Users/wuyiran55/Documents/jupyter/test/slideseq_data/BeadLocationsForR.csv' @@ -48,11 +48,16 @@ def get_hotspot(data,model='normal',n_neighbors=30,n_jobs=20): # hit_data = copy.deepcopy(data) num_umi = hit_data.cells.total_counts - if min_cell: + if min_cell > 0: hit_data = filter_genes(hit_data, min_cell=min_cell) counts = hit_data.to_df() pos = hit_data.position + HS_RESULTS = ''.join([outdir, "_hs_results.p"]) + LCZ = ''.join([outdir, "/", "_lcz.p"]) + MODULES = ''.join([outdir, "/", "_modules.p"]) + HOTSPOT = ''.join([outdir, "/", "_hotspot.p"]) + # Create the Hotspot object and the neighborhood graph hs = hotspot.Hotspot(counts, model=model, latent=pos, umi_counts=num_umi) @@ -68,7 +73,7 @@ def get_hotspot(data,model='normal',n_neighbors=30,n_jobs=20): # select the genes with significant spatial autocorrelation hs_genes = hs_results.index[hs_results.FDR < 0.05] # Compute pair-wise local correlations between these genes - lcz = hs.compute_local_correlations(hs_genes, jobs=20) + lcz = hs.compute_local_correlations(hs_genes, jobs=n_jobs) with open(LCZ, "wb") as f: pickle.dump(lcz, f) From 30fcb4bd655f7295786a64ca358bba14a265835a Mon Sep 17 00:00:00 2001 From: molindoudou Date: Fri, 15 Oct 2021 16:44:43 +0800 Subject: [PATCH 04/61] invert y + equal aspect --- .../interact_plot/interactive_scatter.py | 22 +- stereo/plots/interact_plot/spatial_cluster.py | 10 +- stereo/plots/plot_collection.py | 2 +- stereo/plots/qc.py | 2 +- stereo/plots/scatter.py | 356 ------------------ 5 files changed, 27 insertions(+), 365 deletions(-) delete mode 100644 stereo/plots/scatter.py diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index aeae95c3..fe2b6146 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -17,6 +17,7 @@ import holoviews.operation.datashader as hd from stereo.log_manager import logger import copy +import matplotlib.colors as mcolors # import time # from holoviews.element.selection import spatial_select_columnar # from stereo.core.stereo_exp_data import StereoExpData @@ -26,6 +27,12 @@ link = link_selections.instance() pn.param.ParamMethod.loading_indicator = True +stmap_colors = ['#0c3383', '#0a88ba', '#f2d338', '#f28f38', '#d91e1e'] +nodes = [0.0, 0.25, 0.50, 0.75, 1.0] +mycmap = mcolors.LinearSegmentedColormap.from_list("mycmap", list(zip(nodes, stmap_colors))) +color_list = [mcolors.rgb2hex(mycmap(i)) for i in range(mycmap.N)] +colormaps['stereo'] = color_list + class InteractiveScatter: """ @@ -104,7 +111,7 @@ def _download_callback(self, _): def interact_scatter(self): pn.extension() hv.extension('bokeh') - cmap = pn.widgets.Select(value='rainbow', options=colormaps, name='color theme', width=200) + cmap = pn.widgets.Select(value=colormaps['stereo'], options=colormaps, name='color theme', width=200) # alpha = pn.widgets.FloatSlider(value=1) reverse_colormap = pn.widgets.Checkbox(name='reverse_colormap') scatter_df = self.scatter_df @@ -112,18 +119,23 @@ def interact_scatter(self): bgcolor = self.bgcolor width, height = self.width, self.height @pn.depends(cmap, reverse_colormap) - def _df_plot(cmap, reverse_colormap): - cmap = cmap if not reverse_colormap else cmap[::-1] + def _df_plot(cmap_value, reverse_cm_value): + cmap_value = cmap_value if not reverse_cm_value else cmap_value[::-1] return link(scatter_df.hvplot.scatter( x='x', y='y', c='count', cnorm='eq_hist', - cmap=cmap, + cmap=cmap_value, width=width, height=height, padding=(0.1, 0.1), # rasterize=True, datashade=True, dynspread=True, + # tools=['undo', 'redo'], - ).opts(bgcolor=bgcolor), selection_mode='union') + ).opts( + bgcolor=bgcolor, + invert_yaxis=True, + aspect='equal', + ), selection_mode='union') @param.depends(link.param.selection_expr) def _selection_table(_): diff --git a/stereo/plots/interact_plot/spatial_cluster.py b/stereo/plots/interact_plot/spatial_cluster.py index b65bed50..c9b6afc1 100644 --- a/stereo/plots/interact_plot/spatial_cluster.py +++ b/stereo/plots/interact_plot/spatial_cluster.py @@ -107,5 +107,11 @@ def _df_plot(bg_color, dot_size, color_theme, cluster_color): # return tuple(int(value[i:i + lv // 3], 16) for i in range(0, lv, lv // 3)) # # -# def rgb_to_hex(rgb): -# return '#%02x%02x%02x' % rgb +def rgb_to_hex(rgb): + return '#%02x%02x%02x' % rgb + + +if __name__ == '__main__': + a = [(12, 51, 131), (10,136,186), (242,211,56), (242,143,56), (217,30,30)] + print(rgb_to_hex((12, 51, 131))) + diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index a846121b..ae057576 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -180,7 +180,7 @@ def interact_spatial_scatter( """ interactive spatial distribution - :param inline: notebook out if true else open at a new window + :param inline: notebook out if true else open in a new window :param width: width :param height: height :param bgcolor: background color diff --git a/stereo/plots/qc.py b/stereo/plots/qc.py index e0b4c2fd..e987993f 100644 --- a/stereo/plots/qc.py +++ b/stereo/plots/qc.py @@ -109,7 +109,7 @@ def spatial_distribution( ncols = min(ncols, len(cells_key)) nrows = np.ceil(len(cells_key) / ncols).astype(int) # each panel will have the size of rcParams['figure.figsize'] - fig = plt.figure(figsize=(ncols * 10, nrows * 8)) + fig = plt.figure(figsize=(ncols * 8, nrows * 10)) left = 0.2 / ncols bottom = 0.13 / nrows axs = gridspec.GridSpec( diff --git a/stereo/plots/scatter.py b/stereo/plots/scatter.py deleted file mode 100644 index a75537ca..00000000 --- a/stereo/plots/scatter.py +++ /dev/null @@ -1,356 +0,0 @@ -#!/usr/bin/env python3 -# coding: utf-8 -""" -@author: Ping Qiu qiuping1@genomics.cn -@last modified by: Ping Qiu -@file:scatter.py -@time:2021/04/14 - -change log: - 2021/07/12 params change. by: qindanhua. -""" -from matplotlib.cm import get_cmap -import matplotlib.pyplot as plt -from matplotlib.colors import ListedColormap, to_hex, Normalize -from matplotlib import gridspec -import numpy as np -import pandas as pd -from ._plot_basic.scatter_plt import scatter -from typing import Optional, Union -import seaborn as sns - - -colors = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', 'pink', - 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', - 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', - 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', 'blue', 'black', - 'beige', 'azure', 'aquamarine', 'aqua', - ] - - -def base_scatter( - x: Optional[Union[np.ndarray, list]], - y: Optional[Union[np.ndarray, list]], - color_values: Optional[Union[np.ndarray, list]] = None, - ax=None, - title: str = None, - x_label: str = None, - y_label: str = None, - color_bar: bool = False, - plot_cluster: list = None, - bad_color: str = "lightgrey", - dot_size: int = None, - color_list: Optional[Union[np.ndarray, list]] = None, -): # scatter plot, 聚类后表达矩阵空间分布 - """ - scatter plotter - - :param x: x position values - :param y: y position values - :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] - :param ax: matplotlib Axes object - :param title: figure title - :param x_label: x label - :param y_label: y label - :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True - :param plot_cluster: the name list of clusters to show. - :param bad_color: the name list of clusters to show. - :param dot_size: marker size. - :param color_list: customized colors - :return: matplotlib Axes object - - Example: - ------- - - >>> color_values = np.array(['g1', 'g3', 'g1', 'g2', 'g1']) - >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=color_values) - - OR - - >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=np.array([0, 2, 3, 1, 1], color_bar=True) - - color_values must be int array or list when color_bar is True - - """ - if len(color_values) != len(x): - raise ValueError(f'color values should have the same length with x, y') - if dot_size is None: - dot_size = 120000 / len(color_values) - if ax is None: - fig, ax = plt.subplots() - if color_list is None: - cmap = get_cmap() - color_list = cmap.colors - else: - color_list = list(color_list) - cmap = ListedColormap(color_list) - cmap.set_bad(bad_color) - # 把特定值改为 np.nan 之后，可以利用 cmap.set_bad("white") 来遮盖掉这部分数据 - - spatial_data = np.array([x, y]).T - - group_category = pd.DataFrame(color_values)[0].astype(str).astype('category').values - order = np.argsort(~pd.isnull(group_category), kind="stable") - color_data = group_category[order] - spatial_data = spatial_data[order, :] - - index2cate = {i: str(n) for n, i in enumerate(list(color_data.categories))} - if not color_bar: - color_data = color_data.map(index2cate) - has_na = False - if plot_cluster is None: - plot_cluster = list(color_data.categories) - cluster_n = len(np.unique(color_data)) - if len(color_list) < cluster_n: - color_list = color_list * cluster_n - cmap = ListedColormap(color_list) - cmap.set_bad(bad_color) - if len(color_data.categories) > len(plot_cluster): - color_data = color_data.replace(color_data.categories.difference(plot_cluster), np.nan) - has_na = True - color_dict = {str(k): to_hex(v) for k, v in enumerate(color_list)} - color_data = color_data.map(color_dict) - - if pd.api.types.is_categorical_dtype(color_data): - color_data = pd.Categorical(color_data) - if has_na: - color_data = color_data.add_categories([to_hex(bad_color)]) - color_data = color_data.fillna(to_hex(bad_color)) - - # color_data 是图像中各个点的值，也对应了每个点的颜色。data_points则对应了各个点的坐标 - ax.set_title(title, fontsize=18) - ax.set_yticks([]) - ax.set_xticks([]) - ax.set_xlabel(x_label, fontsize=15) - ax.set_ylabel(y_label, fontsize=15) - path_collection = scatter( - spatial_data[:, 0], - spatial_data[:, 1], - ax=ax, - marker=".", - dot_colors=color_values if color_bar else color_data, - dot_size=dot_size - ) - if not color_bar: - box = ax.get_position() - ax.set_position([box.x0, box.y0, box.width * 0.96, box.height]) - # -------------modified by qiuping1@genomics.cn------------- - # valid_cate = color_data.categories - # cat_num = len(adata.obs_vector(key).categories) - # for label in adata.obs_vector(key).categories: - categories = group_category.categories - cat_num = len(categories) - for label in categories: - # --------modified end------------------ - ax.scatter([], [], c=color_dict[index2cate[label]], label=label) - ax.legend( - frameon=False, - loc='center left', - bbox_to_anchor=(1, 0.5), - ncol=(1 if cat_num <= 14 else 2 if cat_num <= 30 else 3), - # fontsize=legend_fontsize, - ) - else: - plt.colorbar(path_collection, ax=ax, pad=0.01, fraction=0.08, aspect=30) - ax.autoscale_view() - return ax - # plt.show() - - -def multi_scatter( - x, - y, - color_values: Union[np.ndarray] = None, - ncols: int = 2, - title: Union[list, np.ndarray] = None, - x_label: Union[list, np.ndarray] = None, - y_label: Union[list, np.ndarray] = None, - color_bar: bool = False, - bad_color: str = "lightgrey", - dot_size: int = None, - color_list: Optional[Union[np.ndarray, list]] = None, -): - """ - plot multiple scatters - - :param x: x position values - :param y: y position values - :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] - :param ncols number of figure columns - :param title: figure title - :param x_label: x label - :param y_label: y label - :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True - :param bad_color: the name list of clusters to show. - :param dot_size: marker size. - :param color_list: customized colors - - :return: matplotlib Axes object - - """ - ncols = min(ncols, len(color_values)) - nrows = np.ceil(len(color_values) / ncols).astype(int) - # each panel will have the size of rcParams['figure.figsize'] - fig = plt.figure(figsize=(ncols * 10, nrows * 8)) - left = 0.2 / ncols - bottom = 0.13 / nrows - axs = gridspec.GridSpec( - nrows=nrows, - ncols=ncols, - left=left, - right=1 - (ncols - 1) * left - 0.01 / ncols, - bottom=bottom, - top=1 - (nrows - 1) * bottom - 0.1 / nrows, - # hspace=hspace, - # wspace=wspace, - ) - for i, cv in enumerate(color_values): - ax = fig.add_subplot(axs[i]) # ax = plt.subplot(axs[i]) || ax = fig.add_subplot(axs[1, 1])) - base_scatter(x, y, cv, - ax=ax, - title=title[i] if title else None, - x_label=x_label[i] if x_label else None, - y_label=y_label[i] if y_label else None, - color_bar=color_bar, - bad_color=bad_color, - dot_size=dot_size, - color_list=color_list - ) - return fig - - -def volcano( - data: Optional[pd.DataFrame], x: Optional[str], y: Optional[str], hue: Optional[str], - hue_order=('down', 'normal', 'up'), - palette=("#377EB8", "grey", "#E41A1C"), - alpha=1, s=15, - label: Optional[str] = None, text_visible: Optional[str] = None, - x_label='log2(fold change)', y_label='-log10(pvalue)', - vlines=True, cut_off_pvalue=0.01, cut_off_logFC=1, -): - """ - volcano plot - - :param data: data frame - :param x: key in data, variables that specify positions on the x axes. - :param y: key in data, variables that specify positions on the y axes. - :param hue: key in data, variables that specify maker gene. - :param hue_order: - :param palette: color set - :param alpha: visible alpha - :param s: dot size - :param label: key in data, variables that specify dot label - :param text_visible: key in data, variables that specify to show this dot's label or not - :param x_label: - :param y_label: - :param cut_off_pvalue: used when plot vlines - :param cut_off_logFC: used when plot vlines - :param vlines: plot vlines or not - :return: - """ - ax = sns.scatterplot( - data=data, - x=x, y=y, hue=hue, - hue_order=hue_order, - palette=palette, - alpha=alpha, s=s, - ) - ax.spines['right'].set_visible(False) # 去掉右边框 - ax.spines['top'].set_visible(False) # 去掉上边框 - ax.set_ylabel(y_label, fontweight='bold') # 设置y轴标签 - ax.set_xlabel(x_label, fontweight='bold') # 设置x轴标签 - - if vlines: - xmin = int(data['x'].min()) - xmax = int(np.percentile(np.array(data['x']), [90])[0]) - ymin = int(data['y'].min()) - ymax = int(np.percentile(np.array(data['y']), [90])[0]) - ax.vlines(-cut_off_logFC, ymin, ymax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖直线 - ax.vlines(cut_off_logFC, ymin, ymax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖直线 - ax.hlines(-np.log10(cut_off_pvalue), xmin, xmax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖水平线 - # ax.set_xticks(range(xmin, xmax, 4))# 设置x轴刻度 - # ax.set_yticks(range(ymin, ymax, 2))# 设置y轴刻度 - if label and text_visible: - for line in range(0, data.shape[0]): - if data[text_visible][line]: - ax.text( - data[x][line] + 0.01, - data[y][line], - data[label][line], - horizontalalignment='left', - size='medium', - color='black', - # weight='semibold' - ) - return ax - - -def marker_gene_volcano( - data, - text_genes=None, - cut_off_pvalue=0.01, - cut_off_logFC=1, - **kwargs -): - df = data - if 'log2fc' not in df.columns or 'pvalues' not in df.columns: - raise ValueError(f'data frame should content log2fc and pvalues columns') - df['x'] = df['log2fc'] - df['y'] = -df['pvalues'].apply(np.log10) - df.loc[(df.x > cut_off_logFC) & (df.pvalues < cut_off_pvalue), 'group'] = 'up' - df.loc[(df.x < -cut_off_logFC) & (df.pvalues < cut_off_pvalue), 'group'] = 'down' - df.loc[(df.x >= -cut_off_logFC) & (df.x <= cut_off_logFC) | (df.pvalues >= cut_off_pvalue), 'group'] = 'normal' - if text_genes is not None: - # df['text'] = df['group'] == 'up' - df['label'] = df['genes'].isin(text_genes) - ax = volcano(df, x='x', y='y', hue='group', label='genes', text_visible='label', - cut_off_pvalue=cut_off_pvalue, - cut_off_logFC=cut_off_logFC, - **kwargs) - else: - ax = volcano(df, x='x', y='y', hue='group', - cut_off_pvalue=cut_off_pvalue, cut_off_logFC=cut_off_logFC, - **kwargs) - return ax - - -def highly_variable_genes( - data: Optional[pd.DataFrame] -): - """ - scatter of highly variable genes - - :param data: pd.DataFrame - - :return: figure object - """ - seurat_v3_flavor = "variances_norm" in data.columns - if seurat_v3_flavor: - y_label = 'variances' - else: - y_label = 'dispersions' - data['gene type'] = ['highly variable genes' if i else 'other genes' for i in data['highly_variable']] - fig = plt.figure(figsize=(12, 6)) - ax1 = fig.add_subplot(121) - ax2 = fig.add_subplot(122) - sns.scatterplot(x="means", y=y_label+'_norm', - hue='gene type', - hue_order=('highly variable genes', 'other genes'), - palette=("black", "#ccc"), - alpha=1, - s=15, - data=data, ax=ax1 - ) - sns.scatterplot(x="means", y=y_label, - hue='gene type', - hue_order=('highly variable genes', 'other genes'), - palette=("black", "#ccc"), - alpha=1, - s=15, - data=data, ax=ax2 - ) - ax1.set_xlabel('mean expression of genes', fontsize=15) - ax1.set_ylabel('dispersions of genes (normalized)', fontsize=15) - ax2.set_xlabel('mean expression of genes', fontsize=15) - ax2.set_ylabel('dispersions of genes (not normalized)', fontsize=15) - return fig From 2f1158e72bd03e54d6291df9e1c9fc42e5e680a2 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Fri, 15 Oct 2021 16:45:13 +0800 Subject: [PATCH 05/61] scatter --- stereo/plots/scatter.py | 356 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 356 insertions(+) create mode 100644 stereo/plots/scatter.py diff --git a/stereo/plots/scatter.py b/stereo/plots/scatter.py new file mode 100644 index 00000000..a75537ca --- /dev/null +++ b/stereo/plots/scatter.py @@ -0,0 +1,356 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +@author: Ping Qiu qiuping1@genomics.cn +@last modified by: Ping Qiu +@file:scatter.py +@time:2021/04/14 + +change log: + 2021/07/12 params change. by: qindanhua. +""" +from matplotlib.cm import get_cmap +import matplotlib.pyplot as plt +from matplotlib.colors import ListedColormap, to_hex, Normalize +from matplotlib import gridspec +import numpy as np +import pandas as pd +from ._plot_basic.scatter_plt import scatter +from typing import Optional, Union +import seaborn as sns + + +colors = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', 'pink', + 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', + 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', + 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', 'blue', 'black', + 'beige', 'azure', 'aquamarine', 'aqua', + ] + + +def base_scatter( + x: Optional[Union[np.ndarray, list]], + y: Optional[Union[np.ndarray, list]], + color_values: Optional[Union[np.ndarray, list]] = None, + ax=None, + title: str = None, + x_label: str = None, + y_label: str = None, + color_bar: bool = False, + plot_cluster: list = None, + bad_color: str = "lightgrey", + dot_size: int = None, + color_list: Optional[Union[np.ndarray, list]] = None, +): # scatter plot, 聚类后表达矩阵空间分布 + """ + scatter plotter + + :param x: x position values + :param y: y position values + :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] + :param ax: matplotlib Axes object + :param title: figure title + :param x_label: x label + :param y_label: y label + :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True + :param plot_cluster: the name list of clusters to show. + :param bad_color: the name list of clusters to show. + :param dot_size: marker size. + :param color_list: customized colors + :return: matplotlib Axes object + + Example: + ------- + + >>> color_values = np.array(['g1', 'g3', 'g1', 'g2', 'g1']) + >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=color_values) + + OR + + >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=np.array([0, 2, 3, 1, 1], color_bar=True) + + color_values must be int array or list when color_bar is True + + """ + if len(color_values) != len(x): + raise ValueError(f'color values should have the same length with x, y') + if dot_size is None: + dot_size = 120000 / len(color_values) + if ax is None: + fig, ax = plt.subplots() + if color_list is None: + cmap = get_cmap() + color_list = cmap.colors + else: + color_list = list(color_list) + cmap = ListedColormap(color_list) + cmap.set_bad(bad_color) + # 把特定值改为 np.nan 之后，可以利用 cmap.set_bad("white") 来遮盖掉这部分数据 + + spatial_data = np.array([x, y]).T + + group_category = pd.DataFrame(color_values)[0].astype(str).astype('category').values + order = np.argsort(~pd.isnull(group_category), kind="stable") + color_data = group_category[order] + spatial_data = spatial_data[order, :] + + index2cate = {i: str(n) for n, i in enumerate(list(color_data.categories))} + if not color_bar: + color_data = color_data.map(index2cate) + has_na = False + if plot_cluster is None: + plot_cluster = list(color_data.categories) + cluster_n = len(np.unique(color_data)) + if len(color_list) < cluster_n: + color_list = color_list * cluster_n + cmap = ListedColormap(color_list) + cmap.set_bad(bad_color) + if len(color_data.categories) > len(plot_cluster): + color_data = color_data.replace(color_data.categories.difference(plot_cluster), np.nan) + has_na = True + color_dict = {str(k): to_hex(v) for k, v in enumerate(color_list)} + color_data = color_data.map(color_dict) + + if pd.api.types.is_categorical_dtype(color_data): + color_data = pd.Categorical(color_data) + if has_na: + color_data = color_data.add_categories([to_hex(bad_color)]) + color_data = color_data.fillna(to_hex(bad_color)) + + # color_data 是图像中各个点的值，也对应了每个点的颜色。data_points则对应了各个点的坐标 + ax.set_title(title, fontsize=18) + ax.set_yticks([]) + ax.set_xticks([]) + ax.set_xlabel(x_label, fontsize=15) + ax.set_ylabel(y_label, fontsize=15) + path_collection = scatter( + spatial_data[:, 0], + spatial_data[:, 1], + ax=ax, + marker=".", + dot_colors=color_values if color_bar else color_data, + dot_size=dot_size + ) + if not color_bar: + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.96, box.height]) + # -------------modified by qiuping1@genomics.cn------------- + # valid_cate = color_data.categories + # cat_num = len(adata.obs_vector(key).categories) + # for label in adata.obs_vector(key).categories: + categories = group_category.categories + cat_num = len(categories) + for label in categories: + # --------modified end------------------ + ax.scatter([], [], c=color_dict[index2cate[label]], label=label) + ax.legend( + frameon=False, + loc='center left', + bbox_to_anchor=(1, 0.5), + ncol=(1 if cat_num <= 14 else 2 if cat_num <= 30 else 3), + # fontsize=legend_fontsize, + ) + else: + plt.colorbar(path_collection, ax=ax, pad=0.01, fraction=0.08, aspect=30) + ax.autoscale_view() + return ax + # plt.show() + + +def multi_scatter( + x, + y, + color_values: Union[np.ndarray] = None, + ncols: int = 2, + title: Union[list, np.ndarray] = None, + x_label: Union[list, np.ndarray] = None, + y_label: Union[list, np.ndarray] = None, + color_bar: bool = False, + bad_color: str = "lightgrey", + dot_size: int = None, + color_list: Optional[Union[np.ndarray, list]] = None, +): + """ + plot multiple scatters + + :param x: x position values + :param y: y position values + :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] + :param ncols number of figure columns + :param title: figure title + :param x_label: x label + :param y_label: y label + :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True + :param bad_color: the name list of clusters to show. + :param dot_size: marker size. + :param color_list: customized colors + + :return: matplotlib Axes object + + """ + ncols = min(ncols, len(color_values)) + nrows = np.ceil(len(color_values) / ncols).astype(int) + # each panel will have the size of rcParams['figure.figsize'] + fig = plt.figure(figsize=(ncols * 10, nrows * 8)) + left = 0.2 / ncols + bottom = 0.13 / nrows + axs = gridspec.GridSpec( + nrows=nrows, + ncols=ncols, + left=left, + right=1 - (ncols - 1) * left - 0.01 / ncols, + bottom=bottom, + top=1 - (nrows - 1) * bottom - 0.1 / nrows, + # hspace=hspace, + # wspace=wspace, + ) + for i, cv in enumerate(color_values): + ax = fig.add_subplot(axs[i]) # ax = plt.subplot(axs[i]) || ax = fig.add_subplot(axs[1, 1])) + base_scatter(x, y, cv, + ax=ax, + title=title[i] if title else None, + x_label=x_label[i] if x_label else None, + y_label=y_label[i] if y_label else None, + color_bar=color_bar, + bad_color=bad_color, + dot_size=dot_size, + color_list=color_list + ) + return fig + + +def volcano( + data: Optional[pd.DataFrame], x: Optional[str], y: Optional[str], hue: Optional[str], + hue_order=('down', 'normal', 'up'), + palette=("#377EB8", "grey", "#E41A1C"), + alpha=1, s=15, + label: Optional[str] = None, text_visible: Optional[str] = None, + x_label='log2(fold change)', y_label='-log10(pvalue)', + vlines=True, cut_off_pvalue=0.01, cut_off_logFC=1, +): + """ + volcano plot + + :param data: data frame + :param x: key in data, variables that specify positions on the x axes. + :param y: key in data, variables that specify positions on the y axes. + :param hue: key in data, variables that specify maker gene. + :param hue_order: + :param palette: color set + :param alpha: visible alpha + :param s: dot size + :param label: key in data, variables that specify dot label + :param text_visible: key in data, variables that specify to show this dot's label or not + :param x_label: + :param y_label: + :param cut_off_pvalue: used when plot vlines + :param cut_off_logFC: used when plot vlines + :param vlines: plot vlines or not + :return: + """ + ax = sns.scatterplot( + data=data, + x=x, y=y, hue=hue, + hue_order=hue_order, + palette=palette, + alpha=alpha, s=s, + ) + ax.spines['right'].set_visible(False) # 去掉右边框 + ax.spines['top'].set_visible(False) # 去掉上边框 + ax.set_ylabel(y_label, fontweight='bold') # 设置y轴标签 + ax.set_xlabel(x_label, fontweight='bold') # 设置x轴标签 + + if vlines: + xmin = int(data['x'].min()) + xmax = int(np.percentile(np.array(data['x']), [90])[0]) + ymin = int(data['y'].min()) + ymax = int(np.percentile(np.array(data['y']), [90])[0]) + ax.vlines(-cut_off_logFC, ymin, ymax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖直线 + ax.vlines(cut_off_logFC, ymin, ymax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖直线 + ax.hlines(-np.log10(cut_off_pvalue), xmin, xmax, color='dimgrey', linestyle='dashed', linewidth=1) # 画竖水平线 + # ax.set_xticks(range(xmin, xmax, 4))# 设置x轴刻度 + # ax.set_yticks(range(ymin, ymax, 2))# 设置y轴刻度 + if label and text_visible: + for line in range(0, data.shape[0]): + if data[text_visible][line]: + ax.text( + data[x][line] + 0.01, + data[y][line], + data[label][line], + horizontalalignment='left', + size='medium', + color='black', + # weight='semibold' + ) + return ax + + +def marker_gene_volcano( + data, + text_genes=None, + cut_off_pvalue=0.01, + cut_off_logFC=1, + **kwargs +): + df = data + if 'log2fc' not in df.columns or 'pvalues' not in df.columns: + raise ValueError(f'data frame should content log2fc and pvalues columns') + df['x'] = df['log2fc'] + df['y'] = -df['pvalues'].apply(np.log10) + df.loc[(df.x > cut_off_logFC) & (df.pvalues < cut_off_pvalue), 'group'] = 'up' + df.loc[(df.x < -cut_off_logFC) & (df.pvalues < cut_off_pvalue), 'group'] = 'down' + df.loc[(df.x >= -cut_off_logFC) & (df.x <= cut_off_logFC) | (df.pvalues >= cut_off_pvalue), 'group'] = 'normal' + if text_genes is not None: + # df['text'] = df['group'] == 'up' + df['label'] = df['genes'].isin(text_genes) + ax = volcano(df, x='x', y='y', hue='group', label='genes', text_visible='label', + cut_off_pvalue=cut_off_pvalue, + cut_off_logFC=cut_off_logFC, + **kwargs) + else: + ax = volcano(df, x='x', y='y', hue='group', + cut_off_pvalue=cut_off_pvalue, cut_off_logFC=cut_off_logFC, + **kwargs) + return ax + + +def highly_variable_genes( + data: Optional[pd.DataFrame] +): + """ + scatter of highly variable genes + + :param data: pd.DataFrame + + :return: figure object + """ + seurat_v3_flavor = "variances_norm" in data.columns + if seurat_v3_flavor: + y_label = 'variances' + else: + y_label = 'dispersions' + data['gene type'] = ['highly variable genes' if i else 'other genes' for i in data['highly_variable']] + fig = plt.figure(figsize=(12, 6)) + ax1 = fig.add_subplot(121) + ax2 = fig.add_subplot(122) + sns.scatterplot(x="means", y=y_label+'_norm', + hue='gene type', + hue_order=('highly variable genes', 'other genes'), + palette=("black", "#ccc"), + alpha=1, + s=15, + data=data, ax=ax1 + ) + sns.scatterplot(x="means", y=y_label, + hue='gene type', + hue_order=('highly variable genes', 'other genes'), + palette=("black", "#ccc"), + alpha=1, + s=15, + data=data, ax=ax2 + ) + ax1.set_xlabel('mean expression of genes', fontsize=15) + ax1.set_ylabel('dispersions of genes (normalized)', fontsize=15) + ax2.set_xlabel('mean expression of genes', fontsize=15) + ax2.set_ylabel('dispersions of genes (not normalized)', fontsize=15) + return fig From 070f6c1a71d85d6afc833ea4a1735f9d118c726d Mon Sep 17 00:00:00 2001 From: molindoudou Date: Fri, 15 Oct 2021 17:01:32 +0800 Subject: [PATCH 06/61] merge conflict --- stereo/plots/interact_plot/interactive_scatter.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index d4d89435..2642578e 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -18,11 +18,6 @@ from stereo.log_manager import logger import copy import matplotlib.colors as mcolors -import matplotlib.colors as mcolors -# import time -# from holoviews.element.selection import spatial_select_columnar -# from stereo.core.stereo_exp_data import StereoExpData -# import datashader as ds colormaps = {n: palette[n] for n in ['rainbow', 'fire', 'bgy', 'bgyw', 'bmy', 'gray', 'kbc', 'CET_D4']} link = link_selections.instance() From 4e353aee73ecc5e59579bd0078fedbb30a6ba959 Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Tue, 19 Oct 2021 17:50:28 +0800 Subject: [PATCH 07/61] fit the bug of lasso func when setting the invert yxis and aspect param at the same time in the interactive_scatter.py --- stereo/plots/interact_plot/interactive_scatter.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index f9e8115b..7ec1190e 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -49,7 +49,7 @@ def __init__( self.scatter_df = pd.DataFrame({ # 'cell': self.data.cell_names, 'x': self.data.position[:, 0], - 'y': self.data.position[:, 1], + 'y': self.data.position[:, 1] * -1, # 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0], 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0] if self.data.cells.total_counts is None else self.data.cells.total_counts }) @@ -129,7 +129,8 @@ def _df_plot(cmap_value, reverse_cm_value): ).opts( bgcolor=bgcolor, - invert_yaxis=True, + xaxis=None, + yaxis=None, aspect='equal', ), selection_mode='union') From a09ffdee20849f03807ce6122c2d04ad0f553749 Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Wed, 20 Oct 2021 17:59:57 +0800 Subject: [PATCH 08/61] add random_state param for pca --- stereo/algorithm/dim_reduce.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/stereo/algorithm/dim_reduce.py b/stereo/algorithm/dim_reduce.py index 1542765c..19a05dfa 100644 --- a/stereo/algorithm/dim_reduce.py +++ b/stereo/algorithm/dim_reduce.py @@ -40,15 +40,16 @@ def factor_analysis(x, n_pcs): return tran_x -def pca(x, n_pcs): +def pca(x, n_pcs, random_state=1): """ Principal component analysis. :param x: 2D array, shape (M, N) :param n_pcs: the number of features for a return array after reducing. + :param random_state : int, RandomState instance :return: ndarray of shape (n_samples, n_components) Embedding of the training data in low-dimensional space. """ - pca_obj = PCA(n_components=n_pcs) + pca_obj = PCA(n_components=n_pcs, random_state=random_state) x_pca = pca_obj.fit_transform(x) variance = pca_obj.explained_variance_ variance_ratio = pca_obj.explained_variance_ratio_ From 74be7236e45cdf97746a4e297428cfc8ccf94416 Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Fri, 22 Oct 2021 17:21:38 +0800 Subject: [PATCH 09/61] add the color theme --- stereo/config.py | 46 ++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 38 insertions(+), 8 deletions(-) diff --git a/stereo/config.py b/stereo/config.py index b663f287..9605565d 100644 --- a/stereo/config.py +++ b/stereo/config.py @@ -16,8 +16,9 @@ class StereoConfig(object): """ config of stereo. """ + def __init__( - self, + self, file_format: str = "h5ad", auto_show: bool = True, n_jobs=1, @@ -41,12 +42,41 @@ def colormaps(self): from colorcet import palette colormaps = {n: palette[n] for n in ['glasbey', 'glasbey_bw', 'glasbey_cool', 'glasbey_warm', 'glasbey_dark', 'glasbey_light', 'glasbey_category10', 'glasbey_hv']} - colormaps['st'] = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', 'pink', - 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', - 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', - 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', 'blue', 'black', - 'beige', 'azure', 'aquamarine', 'aqua', - ] + colormaps['st'] = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', + 'pink', + 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', + 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', + 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', + 'blue', 'black', + 'beige', 'azure', 'aquamarine', 'aqua', + ] + colormaps['stereo_30'] = ["#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00", "#A65628", "#FFFF33", + "#F781BF", "#999999", "#E5D8BD", "#B3CDE3", "#CCEBC5", "#FED9A6", "#FBB4AE", + "#8DD3C7", "#BEBADA", "#80B1D3", "#B3DE69", "#FCCDE5", "#BC80BD", "#FFED6F", + "#8DA0CB", "#E78AC3", "#E5C494", "#CCCCCC", "#FB9A99", "#E31A1C", "#CAB2D6", + "#6A3D9A", "#B15928"] + colormaps['stereo_150'] = ["#E41A1C", "#C22D3A", "#A04058", "#7E5477", "#5D6795", "#3B7BB3", "#3A86A5", + "#3E8F90", "#43997A", "#47A265", "#4BAC4F", "#57A156", "#668E67", "#747B79", + "#83688A", "#91559B", "#A35390", "#B75D70", "#CB6650", "#DF7031", "#F37911", + "#F77B03", "#E5730B", "#D46B13", "#C3631A", "#B15B22", "#AB6028", "#BC812A", + "#CEA12C", "#DFC22F", "#F0E331", "#FEFA37", "#FDE252", "#FBC96E", "#FAB189", + "#F898A4", "#F681BE", "#E485B7", "#D18AAF", "#BF8FA8", "#AD93A1", "#9A9899", + "#A6A39F", "#B5B0A6", "#C3BCAD", "#D2C8B4", "#E1D5BB", "#DDD6C2", "#D3D4CA", + "#CAD2D1", "#C0CFD8", "#B6CDE0", "#B6D0DF", "#BAD6D9", "#BFDCD3", "#C4E2CD", + "#C9E7C8", "#D0E9C2", "#DAE5BC", "#E4E2B6", "#EDDEAF", "#F7DBA9", "#FDD6A6", + "#FDCFA8", "#FCC8A9", "#FCC0AB", "#FBB9AC", "#F6B5AF", "#E1BBB3", "#CBC1B8", + "#B6C7BD", "#A0CDC2", "#8DD2C7", "#97CDCA", "#A0C8CE", "#AAC4D2", "#B3BFD6", + "#BDBAD9", "#B2B8D8", "#A6B6D7", "#9AB4D6", "#8EB3D4", "#82B1D3", "#87B7C2", + "#91C0AE", "#9BC999", "#A5D284", "#AFDA70", "#BCDB78", "#CAD890", "#D8D5A9", + "#E6D1C1", "#F5CED9", "#F5C5E0", "#E9B6D9", "#DCA7D1", "#D098C9", "#C389C1", + "#C088B7", "#CD9DA8", "#DBB298", "#E8C789", "#F5DC7A", "#F9E973", "#E3DA85", + "#CDCB97", "#B7BCA9", "#A0ADBA", "#8E9FCA", "#A09BC9", "#B196C7", "#C392C6", + "#D48EC4", "#E68AC3", "#E694BA", "#E6A0B1", "#E5ABA7", "#E5B69E", "#E5C295", + "#E0C59D", "#DCC6A7", "#D7C8B2", "#D2C9BD", "#CDCBC8", "#D2C5C5", "#DBBBBB", + "#E4B1B1", "#EDA8A7", "#F69E9D", "#F88C8B", "#F37373", "#EF5A5A", "#EA4142", + "#E5282A", "#E0262A", "#DC434F", "#D76173", "#D27E97", "#CD9CBB", "#C4ABD2", + "#B294C7", "#9F7EBB", "#8C67AF", "#7A50A4", "#6B3D96", "#794380", "#87486A", + "#954E54", "#A3533E", "#B15928"] return colormaps def get_colors(self, colors): @@ -160,7 +190,7 @@ def n_jobs(self, value): @staticmethod def set_plot_param(fontsize: int = 14, figsize: Optional[int] = None, color_map: Optional[str] = None, - facecolor: Optional[str] = None, transparent: bool = False,): + facecolor: Optional[str] = None, transparent: bool = False, ): if fontsize is not None: rcParams['font.size'] = fontsize if color_map is not None: From 7c5d408edb32e622bef98030185a034618aab907 Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Mon, 25 Oct 2021 16:11:39 +0800 Subject: [PATCH 10/61] set the default color of cluster scatter plot --- stereo/config.py | 40 ++++++++------------------------- stereo/plots/plot_collection.py | 10 +++++---- 2 files changed, 15 insertions(+), 35 deletions(-) diff --git a/stereo/config.py b/stereo/config.py index 9605565d..c2b28f96 100644 --- a/stereo/config.py +++ b/stereo/config.py @@ -10,6 +10,7 @@ from pathlib import Path import os from matplotlib import rcParams, rcParamsDefault +import matplotlib.colors as mpl_colors class StereoConfig(object): @@ -42,47 +43,24 @@ def colormaps(self): from colorcet import palette colormaps = {n: palette[n] for n in ['glasbey', 'glasbey_bw', 'glasbey_cool', 'glasbey_warm', 'glasbey_dark', 'glasbey_light', 'glasbey_category10', 'glasbey_hv']} - colormaps['st'] = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', - 'pink', - 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', - 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', - 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', - 'blue', 'black', - 'beige', 'azure', 'aquamarine', 'aqua', - ] colormaps['stereo_30'] = ["#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00", "#A65628", "#FFFF33", "#F781BF", "#999999", "#E5D8BD", "#B3CDE3", "#CCEBC5", "#FED9A6", "#FBB4AE", "#8DD3C7", "#BEBADA", "#80B1D3", "#B3DE69", "#FCCDE5", "#BC80BD", "#FFED6F", "#8DA0CB", "#E78AC3", "#E5C494", "#CCCCCC", "#FB9A99", "#E31A1C", "#CAB2D6", "#6A3D9A", "#B15928"] - colormaps['stereo_150'] = ["#E41A1C", "#C22D3A", "#A04058", "#7E5477", "#5D6795", "#3B7BB3", "#3A86A5", - "#3E8F90", "#43997A", "#47A265", "#4BAC4F", "#57A156", "#668E67", "#747B79", - "#83688A", "#91559B", "#A35390", "#B75D70", "#CB6650", "#DF7031", "#F37911", - "#F77B03", "#E5730B", "#D46B13", "#C3631A", "#B15B22", "#AB6028", "#BC812A", - "#CEA12C", "#DFC22F", "#F0E331", "#FEFA37", "#FDE252", "#FBC96E", "#FAB189", - "#F898A4", "#F681BE", "#E485B7", "#D18AAF", "#BF8FA8", "#AD93A1", "#9A9899", - "#A6A39F", "#B5B0A6", "#C3BCAD", "#D2C8B4", "#E1D5BB", "#DDD6C2", "#D3D4CA", - "#CAD2D1", "#C0CFD8", "#B6CDE0", "#B6D0DF", "#BAD6D9", "#BFDCD3", "#C4E2CD", - "#C9E7C8", "#D0E9C2", "#DAE5BC", "#E4E2B6", "#EDDEAF", "#F7DBA9", "#FDD6A6", - "#FDCFA8", "#FCC8A9", "#FCC0AB", "#FBB9AC", "#F6B5AF", "#E1BBB3", "#CBC1B8", - "#B6C7BD", "#A0CDC2", "#8DD2C7", "#97CDCA", "#A0C8CE", "#AAC4D2", "#B3BFD6", - "#BDBAD9", "#B2B8D8", "#A6B6D7", "#9AB4D6", "#8EB3D4", "#82B1D3", "#87B7C2", - "#91C0AE", "#9BC999", "#A5D284", "#AFDA70", "#BCDB78", "#CAD890", "#D8D5A9", - "#E6D1C1", "#F5CED9", "#F5C5E0", "#E9B6D9", "#DCA7D1", "#D098C9", "#C389C1", - "#C088B7", "#CD9DA8", "#DBB298", "#E8C789", "#F5DC7A", "#F9E973", "#E3DA85", - "#CDCB97", "#B7BCA9", "#A0ADBA", "#8E9FCA", "#A09BC9", "#B196C7", "#C392C6", - "#D48EC4", "#E68AC3", "#E694BA", "#E6A0B1", "#E5ABA7", "#E5B69E", "#E5C295", - "#E0C59D", "#DCC6A7", "#D7C8B2", "#D2C9BD", "#CDCBC8", "#D2C5C5", "#DBBBBB", - "#E4B1B1", "#EDA8A7", "#F69E9D", "#F88C8B", "#F37373", "#EF5A5A", "#EA4142", - "#E5282A", "#E0262A", "#DC434F", "#D76173", "#D27E97", "#CD9CBB", "#C4ABD2", - "#B294C7", "#9F7EBB", "#8C67AF", "#7A50A4", "#6B3D96", "#794380", "#87486A", - "#954E54", "#A3533E", "#B15928"] return colormaps - def get_colors(self, colors): + def get_colors(self, colors, n=None): if isinstance(colors, str): if colors not in self.colormaps: raise ValueError(f'{colors} not in colormaps, color value range in {self.colormaps.keys()}') + if n is not None: + if n > len(self.colormaps[colors]): + mycmap = mpl_colors.LinearSegmentedColormap.from_list("mycmap", self.colormaps[colors], N=n) + color_list = [mpl_colors.rgb2hex(mycmap(i)) for i in range(n)] + else: + color_list = self.colormaps[colors][0: n] + return color_list else: return self.colormaps[colors] else: diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index f0023703..8b6704f8 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -203,7 +203,7 @@ def umap( x_label: Optional[Union[str, list]] = 'umap1', y_label: Optional[Union[str, list]] = 'umap2', dot_size: int = None, - colors: Optional[Union[str, list]] = 'glasbey_category10', + colors: Optional[Union[str, list]] = 'stereo_30', **kwargs ): """ @@ -223,11 +223,12 @@ def umap( self.data.sparse2array() if cluster_key: cluster_res = self.check_res_key(cluster_key) + n = len(set(cluster_res['group'])) return base_scatter( res.values[:, 0], res.values[:, 1], color_values=np.array(cluster_res['group']), - color_list=conf.get_colors(colors), + color_list=conf.get_colors(colors, n), title=cluster_key if title is None else title, x_label=x_label, y_label=y_label, dot_size=dot_size, **kwargs) @@ -265,7 +266,7 @@ def cluster_scatter( x_label: Optional[str] = None, y_label: Optional[str] = None, dot_size: int = None, - colors='glasbey_category10', + colors='stereo_30', invert_y: bool = True, **kwargs ): @@ -282,11 +283,12 @@ def cluster_scatter( """ res = self.check_res_key(res_key) + n = len(set(res['group'])) ax = base_scatter( self.data.position[:, 0], self.data.position[:, 1], color_values=np.array(res['group']), - color_list=conf.get_colors(colors), + color_list=conf.get_colors(colors, n=n), title=title, x_label=x_label, y_label=y_label, dot_size=dot_size, invert_y=invert_y, **kwargs ) From 11b1a8a51bd55864f3fbdcb381eed5739232ae6d Mon Sep 17 00:00:00 2001 From: molindoudou Date: Mon, 25 Oct 2021 17:57:52 +0800 Subject: [PATCH 11/61] remove table --- stereo/plots/interact_plot/interactive_scatter.py | 6 +++--- stereo/plots/interact_plot/spatial_cluster.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index 2ed64940..25ecb370 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -37,7 +37,7 @@ class InteractiveScatter: def __init__( self, data, - width: Optional[int] = 680, height: Optional[int] = 500, + width: Optional[int] = 600, height: Optional[int] = 480, bgcolor='#2F2F4F', # bgcolor='#333333' ): @@ -145,9 +145,9 @@ def _selection_table(_): _df_plot, pn.Column( # pn.panel(pn.bind(random_plot, button), loading_indicator=True), - _selection_table, + # _selection_table, pn.Column( - "above in the table is selected points, pick or drop them to generate a new StereoExpData", + # "above in the table is selected points, pick or drop them to generate a new StereoExpData", pn.Row( self.drop_checkbox, # self.bin_select diff --git a/stereo/plots/interact_plot/spatial_cluster.py b/stereo/plots/interact_plot/spatial_cluster.py index 4f1d48f7..89d6afb9 100644 --- a/stereo/plots/interact_plot/spatial_cluster.py +++ b/stereo/plots/interact_plot/spatial_cluster.py @@ -114,6 +114,6 @@ def rgb_to_hex(rgb): if __name__ == '__main__': - a = [(12, 51, 131), (10,136,186), (242,211,56), (242,143,56), (217,30,30)] + a = [(12, 51, 131), (10, 136, 186), (242, 211, 56), (242, 143, 56), (217, 30, 30)] print(rgb_to_hex((12, 51, 131))) From e12b5ada8301fa0b47e44cf4e977c52724ebfed8 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Tue, 26 Oct 2021 13:43:45 +0800 Subject: [PATCH 12/61] change color default --- stereo/plots/interact_plot/spatial_cluster.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/stereo/plots/interact_plot/spatial_cluster.py b/stereo/plots/interact_plot/spatial_cluster.py index 89d6afb9..009e44cd 100644 --- a/stereo/plots/interact_plot/spatial_cluster.py +++ b/stereo/plots/interact_plot/spatial_cluster.py @@ -12,11 +12,13 @@ import panel as pn from colorcet import palette from holoviews import opts +from stereo.config import StereoConfig -colormaps = {n: palette[n] for n in ['glasbey', 'glasbey_bw', 'glasbey_cool', 'glasbey_warm', 'glasbey_dark', - 'glasbey_light', 'glasbey_category10', 'glasbey_hv']} +conf = StereoConfig() + +colormaps = conf.colormaps pn.param.ParamMethod.loading_indicator = True -theme_default = 'glasbey_category10' +theme_default = 'stereo_30' color_key = {} @@ -51,6 +53,10 @@ def interact_spatial_cluster( theme_select = pn.widgets.Select(name='color theme', options=list(colormaps.keys()), value=theme_default, width=200) cluster_select = pn.widgets.Select(name='cluster', options=cs, value=cs[0], width=100, loading=False) + ## + if len(cs) > len(colormaps[theme_default]): + colormaps[theme_default] = conf.get_colors(theme_default, n=150) + global color_key color_key = {k: c for k, c in zip(cs, colormaps[theme_default][0:len(cs)])} # print(color_key) From b236b35566237cd842cececee264dc07449ee5a5 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Tue, 26 Oct 2021 15:13:15 +0800 Subject: [PATCH 13/61] change color set --- stereo/plots/interact_plot/spatial_cluster.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/stereo/plots/interact_plot/spatial_cluster.py b/stereo/plots/interact_plot/spatial_cluster.py index 009e44cd..0e10583f 100644 --- a/stereo/plots/interact_plot/spatial_cluster.py +++ b/stereo/plots/interact_plot/spatial_cluster.py @@ -55,7 +55,7 @@ def interact_spatial_cluster( ## if len(cs) > len(colormaps[theme_default]): - colormaps[theme_default] = conf.get_colors(theme_default, n=150) + colormaps[theme_default] = conf.get_colors(theme_default, n=len(cs)) global color_key color_key = {k: c for k, c in zip(cs, colormaps[theme_default][0:len(cs)])} From 9994c667c4375c1b28b2425714fa0d0cb4270495 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Fri, 29 Oct 2021 18:07:01 +0800 Subject: [PATCH 14/61] add gef io cpp --- setup.py | 18 +- stereo/io/H5Reader.cpp | 198 ++++++++++++ stereo/io/H5Reader.h | 40 +++ stereo/io/gef.py | 71 ++-- stereo/io/gef_cy.pyx | 69 ++++ stereo/io/gef_read.cpp | 55 ++++ stereo/io/gef_read.h | 9 + stereo/io/gef_read_cy.pyx | 88 +++++ stereo/io/khash.h | 627 ++++++++++++++++++++++++++++++++++++ stereo/io/reader.py | 34 +- stereo/io/util.h | 140 ++++++++ stereo/utils/data_helper.py | 16 + 12 files changed, 1324 insertions(+), 41 deletions(-) create mode 100644 stereo/io/H5Reader.cpp create mode 100644 stereo/io/H5Reader.h create mode 100644 stereo/io/gef_cy.pyx create mode 100644 stereo/io/gef_read.cpp create mode 100644 stereo/io/gef_read.h create mode 100644 stereo/io/gef_read_cy.pyx create mode 100644 stereo/io/khash.h create mode 100644 stereo/io/util.h diff --git a/setup.py b/setup.py index 50d77793..32729720 100644 --- a/setup.py +++ b/setup.py @@ -9,10 +9,25 @@ from setuptools import setup, find_packages import sys from pathlib import Path +from distutils.core import setup +from distutils.extension import Extension +from Cython.Build import cythonize +from numpy import get_include if sys.version_info < (3, 7): sys.exit('stereopy requires Python >= 3.7') +ext_modules = cythonize({ + Extension("gef_cy", + ["stereo/io/gef_cy.pyx", "stereo/io/H5Reader.cpp"], + include_dirs=[get_include(), '/usr/include', + '/usr/local/include'], + libraries=["hdf5"], + language='c++', + extra_compile_args=["-std=c++11", "-Wno-sign-compare"] + ) +}) + setup( name='stereopy', version='0.2.0', @@ -23,7 +38,7 @@ url='https://github.com/BGIResearch/stereopy', author='BGIResearch', author_email='qiuping1@genomics.cn', - python_requires='>=3.6', + python_requires='>=3.7', install_requires=[ l.strip() for l in Path('requirements.txt').read_text('utf-8').splitlines() ], @@ -34,6 +49,7 @@ ), packages=find_packages(), include_package_data=True, + ext_modules=ext_modules, classifiers=[ 'Natural Language :: English', 'License :: OSI Approved :: MIT License', diff --git a/stereo/io/H5Reader.cpp b/stereo/io/H5Reader.cpp new file mode 100644 index 00000000..a63f6ef0 --- /dev/null +++ b/stereo/io/H5Reader.cpp @@ -0,0 +1,198 @@ +#include "H5Reader.h" +#include "util.h" +#include "gef_read.h" +#include "khash.h" + +#include +#include + +using namespace std; + +KHASH_MAP_INIT_INT64(m64, unsigned int) + +H5Reader::H5Reader(const string& filename, int bin_size) +{ + this->m_file_id = H5Fopen(filename.c_str(), H5F_ACC_RDONLY, H5P_DEFAULT); + this->bin_size = bin_size; + openExpressionSpace(); + openGeneSpace(); +} + +H5Reader::~H5Reader() +{ + H5Fclose(m_file_id); + H5Dclose(exp_dataset_id); + H5Sclose(exp_dataspace_id); + H5Dclose(gene_dataset_id); + H5Sclose(gene_dataspace_id); +} + +vector H5Reader::getExpData(vector & cell_index, vector & count) +{ + time_t now = time(nullptr); + char* dt = ctime(&now); + printf("cpp_uniq_cell_index start = %s\n", dt); + + hid_t memtype; + hid_t attr; + unsigned long long uniq_cell_id; + + now = time(nullptr); + dt = ctime(&now); + printf("exp_len end = %s\n", dt); + + memtype = H5Tcreate(H5T_COMPOUND, sizeof(Gene)); + m_status = H5Tinsert(memtype, "x", HOFFSET(Gene, x), H5T_NATIVE_UINT); + m_status = H5Tinsert(memtype, "y", HOFFSET(Gene, y), H5T_NATIVE_UINT); + m_status = H5Tinsert(memtype, "count", HOFFSET(Gene, cnt), H5T_NATIVE_UINT); + + Gene* expData; + expData = (Gene*)malloc(exp_len * sizeof(Gene)); + m_status = H5Dread(exp_dataset_id, memtype, H5S_ALL, H5S_ALL, H5P_DEFAULT, expData); + + now = time(nullptr); + dt = ctime(&now); + printf("* H5Dread end = %s\n", dt); + +// map cells_map; + unordered_map cells_map; + vector uniq_cells; + unsigned int index = 0; + + int absent, is_missing; + khint_t k; + khash_t(m64) *h = kh_init(m64); // allocate a hash table + k = kh_put(m64, h, 5, &absent); // insert a key to the hash table + + for (int i = 0; i < exp_len; ++i) { + uniq_cell_id = expData[i].x; + uniq_cell_id = uniq_cell_id << 32 | expData[i].y; + + k = kh_get(m64, h, uniq_cell_id); + is_missing = (k == kh_end(h)); + if (!is_missing){ + cell_index.push_back(kh_value(h, k) ); + }else { + cell_index.push_back(index); + uniq_cells.push_back(uniq_cell_id); + k = kh_put(m64, h, uniq_cell_id, &absent); // insert a key to the hash table + kh_value(h, k) = index; + ++index; + } + +// auto iter = cells_map.find(uniq_cell_id); +// if(iter != cells_map.end()){ +// cell_index.push_back(iter->second); +// }else { +// cell_index.push_back(index); +// uniq_cells.push_back(uniq_cell_id); +// cells_map.insert(unordered_map::value_type (uniq_cell_id, index)); +// ++index; +// } +// + count.push_back(expData[i].cnt); + } + + now = time(nullptr); + dt = ctime(&now); + printf("index = %d\n", index); + printf("* cell_index end = %s\n", dt); + + // Read attribute of raw data + attr = H5Aopen(exp_dataset_id, "minX", H5P_DEFAULT); + // m_dataspace_id = H5Aget_space(attr); + // ndims = H5Sget_simple_extent_dims(space, dims, NULL); + m_status = H5Aread(attr, H5T_NATIVE_UINT, &minX); + attr = H5Aopen(exp_dataset_id, "minY", H5P_DEFAULT); + m_status = H5Aread(attr, H5T_NATIVE_UINT, &minY); + attr = H5Aopen(exp_dataset_id, "maxX", H5P_DEFAULT); + m_status = H5Aread(attr, H5T_NATIVE_UINT, &maxX); + attr = H5Aopen(exp_dataset_id, "maxY", H5P_DEFAULT); + m_status = H5Aread(attr, H5T_NATIVE_UINT, &maxY); + + if (expData != nullptr) + free(expData); + + H5Aclose(attr); + kh_destroy(m64, h); + H5Tclose(memtype); + return uniq_cells; +} + +void H5Reader::getGeneData(vector & gene_index, vector & uniq_genes) +{ + hid_t memtype; + hid_t strtype; + + strtype = H5Tcopy(H5T_C_S1); + m_status = H5Tset_size(strtype, char_len); + + memtype = H5Tcreate(H5T_COMPOUND, sizeof(GenePos)); + m_status = H5Tinsert(memtype, "gene", HOFFSET(GenePos, gene), strtype); + m_status = H5Tinsert(memtype, "offset", HOFFSET(GenePos, offset), H5T_NATIVE_UINT); + m_status = H5Tinsert(memtype, "count", HOFFSET(GenePos, count), H5T_NATIVE_UINT); + + GenePos* idxData; + // cout<<"genes number: "< +#include +#include +#include "hdf5.h" + +using namespace std; + +class H5Reader +{ +public: + H5Reader(const string &filename, int bin_size); + + ~H5Reader(); + //expressions number + int bin_size = 0; + unsigned int minX{}, minY{}, maxX{}, maxY{}, gene_num{}; + unsigned long long exp_len = 0; + + unsigned long long getExpLen() const; + unsigned int getGeneNum() const; + + vector getExpData(vector &cell_index, vector &count); + + void getGeneData(vector &gene_index, vector &uniq_genes); + +private: + hid_t m_file_id; + herr_t m_status{}; + // hid_t m_group_id; + hid_t exp_dataspace_id{}; + hid_t exp_dataset_id{}; + hid_t gene_dataspace_id{}; + hid_t gene_dataset_id{}; + + void openExpressionSpace(); + void openGeneSpace(); +}; diff --git a/stereo/io/gef.py b/stereo/io/gef.py index faa46cc3..533c0476 100644 --- a/stereo/io/gef.py +++ b/stereo/io/gef.py @@ -11,14 +11,21 @@ from ..core.stereo_exp_data import StereoExpData from ..log_manager import logger +from gef_read_cy import * + class GEF(object): def __init__(self, file_path: str, bin_size: int = 100, is_sparse: bool = True): self.file_path = file_path self.bin_size = bin_size self.is_sparse = is_sparse - self.df_exp = None self.df_gene = None + self.df_exp = None + self.h5f = None + self.h5_exp = None + self.h5_gene = None + self.rows = None + self.cols = None self.genes = None self.cells = None self.cell_num = 0 @@ -26,15 +33,16 @@ def __init__(self, file_path: str, bin_size: int = 100, is_sparse: bool = True): self._init() def _init(self): - with h5py.File(self.file_path, mode='r') as h5f: - bin_tag = 'bin{}'.format(self.bin_size) - if bin_tag not in h5f['geneExp'].keys(): - raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) + # with h5py.File(self.file_path, mode='r') as h5f: + self.h5f = h5py.File(self.file_path, mode='r') + bin_tag = 'bin{}'.format(self.bin_size) + if bin_tag not in self.h5f['geneExp'].keys(): + raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) - h5exp = h5f['geneExp'][bin_tag]['expression'] - h5gene = h5f['geneExp'][bin_tag]['gene'] - self.df_gene = pd.DataFrame(h5gene['gene', 'offset', 'count']) - self.df_exp = pd.DataFrame(h5exp['x', 'y', 'count']) + self.h5_exp = self.h5f['geneExp'][bin_tag]['expression'] + self.h5_gene = self.h5f['geneExp'][bin_tag]['gene'] + # self.df_gene = pd.DataFrame(h5gene['gene', 'offset', 'count']) + # self.df_exp = pd.DataFrame(self.h5_exp['x', 'y', 'count']) def build(self, gene_lst: list = None, region: list = None): if gene_lst is not None: @@ -42,31 +50,19 @@ def build(self, gene_lst: list = None, region: list = None): if region is not None: self._restrict_to_region(region) if gene_lst is None and region is None: - self.genes = self.df_gene['gene'].values + self.genes = self.h5_gene['gene'] self.gene_num = len(self.genes) - cols = np.zeros((self.df_exp.shape[0],), dtype='uint32') - gene_index = 0 - exp_index = 0 - for count in self.df_gene['count']: - for i in range(count): - cols[exp_index] = gene_index - exp_index += 1 - gene_index += 1 - self.df_exp['gene_index'] = cols - - self.df_exp['cell_id'] = np.bitwise_or( - np.left_shift(self.df_exp['x'].astype('uint64'), 32), self.df_exp['y']) - self.cells = self.df_exp['cell_id'].unique() + self.cols = np.zeros((self.h5_exp.shape[0],), dtype='uint32') + logger.info("gene_count_index start") + gene_count_index(self.h5_gene['count'], self.cols) + logger.info("gene_count_index end") + + logger.info("get_uniq_cell start0") + # self.rows = np.zeros((self.h5_exp.shape[0],), dtype='uint32') + logger.info("get_uniq_cell start") + self.cells = get_uniq_cell(self.h5_exp['x'], self.h5_exp['y'], self.rows) + logger.info("get_uniq_cell end") self.cell_num = len(self.cells) - rows = np.zeros((self.df_exp.shape[0],), dtype='uint32') - grp = self.df_exp.groupby('cell_id').groups - i = 0 - for cell_id in self.cells: - for j in grp[cell_id]: - rows[j] = i - i += 1 - self.df_exp['cell_index'] = rows - del grp gc.collect() def _restrict_to_region(self, region): @@ -111,10 +107,13 @@ def _restrict_to_genes(self, gene_lst): def to_stereo_exp_data(self) -> StereoExpData: data = StereoExpData(file_path=self.file_path) logger.info(f'the martrix has {self.cell_num} cells, and {self.gene_num} genes.') - data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values - exp_matrix = csr_matrix((self.df_exp['count'], (self.df_exp['cell_index'], self.df_exp['gene_index'])), + # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values + exp_matrix = csr_matrix((self.h5_exp['count'], (self.rows, self.cols)), shape=(self.cell_num, self.gene_num), dtype=np.int) - data.cells = Cell(cell_name=self.cells) - data.genes = Gene(gene_name=self.genes) + # data.cells = Cell(cell_name=self.cells) + # data.genes = Gene(gene_name=self.genes) data.exp_matrix = exp_matrix if self.is_sparse else exp_matrix.toarray() return data + + def close(self): + self.h5f.close() diff --git a/stereo/io/gef_cy.pyx b/stereo/io/gef_cy.pyx new file mode 100644 index 00000000..57cef26b --- /dev/null +++ b/stereo/io/gef_cy.pyx @@ -0,0 +1,69 @@ +# -*- coding: utf-8 -*- +# distutils: language=c++ +# cython: language_level=3, boundscheck=False +# cython: c_string_type=unicode, c_string_encoding=utf8 +# Created by huangzhibo on 2021/10/22 + +import numpy as np +cimport numpy as np +cimport cython +import h5py + +from libcpp.vector cimport vector +from libcpp.string cimport string + +cdef extern from "H5Reader.h": + cdef cppclass H5Reader: + H5Reader(const string&, int bin_size) except + + unsigned long long exp_len + unsigned int minX, minY, maxX, maxY, gene_num + + unsigned long long getExpLen() const + unsigned int getGeneNum() const + + vector[unsigned long long] getExpData(vector[unsigned int] & cell_index, + vector[unsigned int] & count) + + void getGeneData(vector[int] & gene_index, vector[string] & uniq_genes) + + +cdef class GEF: + cdef H5Reader* c_h5r # Hold a C++ instance which we're wrapping + cdef unsigned long long exp_len + cdef unsigned int minX, minY, maxX, maxY, gene_num + + h5py.h5d.DatasetID + + # def __cinit__(self, filepath): + # self.c_h5r = new H5Reader(filepath) + # self.exp_len = self.c_h5r.getExpLen() + # self.gene_num = self.c_h5r.getGeneNum() + # self.minX = self.c_h5r.minX + # self.minY = self.c_h5r.minY + # self.maxX = self.c_h5r.maxX + # self.maxY = self.c_h5r.maxY + + def __init__(self, filepath, bin_size): + self.c_h5r = new H5Reader(filepath, bin_size) + self.exp_len = self.c_h5r.getExpLen() + self.gene_num = self.c_h5r.getGeneNum() + self.minX = self.c_h5r.minX + self.minY = self.c_h5r.minY + self.maxX = self.c_h5r.maxX + self.maxY = self.c_h5r.maxY + + def get_exp_data(self, cell_index, count): + cdef vector[unsigned long long] uniq_cell = self.c_h5r.getExpData(cell_index, count) + return uniq_cell + + def get_exp_len(self): + return self.c_h5r.getExpLen() + + def get_gene_num(self): + return self.c_h5r.getGeneNum() + + def get_gene_data(self, gene_index, uniq_genes): + return self.c_h5r.getGeneData(gene_index, uniq_genes) + + def __dealloc__(self): + del self.c_h5r \ No newline at end of file diff --git a/stereo/io/gef_read.cpp b/stereo/io/gef_read.cpp new file mode 100644 index 00000000..69915b9e --- /dev/null +++ b/stereo/io/gef_read.cpp @@ -0,0 +1,55 @@ +#include "gef_read.h" + +#include + +//vector cpp_uniq_cell_index(const vector &vec_x, const vector &vec_y, vector &rows) { +int cpp_uniq_cell_index(const unsigned int *vec_x, const unsigned int *vec_y, unsigned int *rows, unsigned long long len){ + time_t now = time(0); + char* dt = ctime(&now); + printf("cpp_uniq_cell_index start = %s\n", dt); + + +// unsigned long long xy_id; +// vector cells; + int cells = 0; +// map cells_map; +// auto first = vec_x.begin(); +// auto end = vec_x.end(); +// auto first_y = vec_y.begin(); +// long index = 0; +// +// while (first != end) +// { +// xy_id = *first; +// xy_id = xy_id << 32 | *first_y; +// auto iter = cells_map.find(xy_id); +// +// if(iter != cells_map.end()){ +// rows.push_back(iter->second); +// }else { +// rows.push_back(index); +// cells.push_back(xy_id); +// cells_map.insert(map::value_type (xy_id, index)); +// ++index; +// } +// +// ++first; +// ++first_y; +// } +// now = time(0); +// dt = ctime(&now); + printf("cpp_uniq_cell_index end = %s\n", dt); + return cells; +} + + +int cpp_gene_count_index(const vector &gene_count, vector &cols) { + int gene_index = 0; + for(int c : gene_count){ + for (int i = 0; i < c; ++i) { + cols.push_back(gene_index); + } + gene_index ++; + } + return gene_index; +} diff --git a/stereo/io/gef_read.h b/stereo/io/gef_read.h new file mode 100644 index 00000000..64b3c625 --- /dev/null +++ b/stereo/io/gef_read.h @@ -0,0 +1,9 @@ +#include +#include + +using namespace std; +using std::vector; + +int cpp_uniq_cell_index(const unsigned int *vec_x, const unsigned int *vec_y, unsigned int *rows, unsigned long long len); + +int cpp_gene_count_index(const vector &gene_count, vector &cols); \ No newline at end of file diff --git a/stereo/io/gef_read_cy.pyx b/stereo/io/gef_read_cy.pyx new file mode 100644 index 00000000..90fe7294 --- /dev/null +++ b/stereo/io/gef_read_cy.pyx @@ -0,0 +1,88 @@ +# -*- coding: utf-8 -*- +# distutils: language=c++ +# cython: language_level=3, boundscheck=False +# cython: c_string_type=unicode, c_string_encoding=utf8 +# Created by huangzhibo on 2021/10/22 + + +import numpy as np +cimport numpy as np +cimport cython +import h5py +from stereo.log_manager import logger + +from libcpp.vector cimport vector +from libcpp.string cimport string + +ctypedef np.npy_int32 INT32_t +ctypedef np.npy_uint32 UINT32_t +ctypedef np.npy_uint64 UINT64_t + +cdef extern from "gef_read.h": + int cpp_uniq_cell_index(const unsigned int * vec_x, + const unsigned int * vec_y, + unsigned int * rows, + unsigned long long len); + + int cpp_gene_count_index(const vector[int] & gene_count, vector[int] & cols); + +cdef get_uniq_cell(np.ndarray[UINT32_t, ndim=1] vec_x, np.ndarray[UINT32_t, ndim=1] vec_y, np.ndarray[UINT32_t, ndim=1] rows, unsigned long long len): + return cpp_uniq_cell_index( vec_x.data, vec_y.data, rows.data, len) + +def gene_count_index(const vector[int] & gene_count, vector[int] & cols): + return cpp_gene_count_index(gene_count, cols) + + +cdef class GEF: + cdef UINT32_t [:] cols + cdef UINT32_t [:] rows + cdef UINT64_t [:] cells + # cdef vector[UINT32_t] cols + # cdef vector[UINT32_t] rows + # cdef vector[UINT64_t] cells + cdef vector[string] genes + cdef int cell_num + cdef int gene_num + cdef int bin_size + cdef UINT64_t exp_size + cdef string file_path + + def __init__(self, file_path, bin_size): + self.file_path = file_path + self.bin_size = bin_size + # self.genes = None + self.cell_num = 0 + self.gene_num = 0 + self.exp_size = 0 + # self.cols = None + # self.rows = None + # self.cells = None + self.build() + + def build(self): + h5f = h5py.File(self.file_path, mode='r') + bin_tag = 'bin{}'.format(self.bin_size) + if bin_tag not in h5f['geneExp'].keys(): + raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) + + h5_exp = h5f['geneExp'][bin_tag]['expression'] + h5_gene = h5f['geneExp'][bin_tag]['gene'] + self.genes = np.array(h5_gene['gene']) + self.gene_num = len(self.genes) + # self.cols = np.zeros((h5_exp.shape[0],), dtype='uint32') + # h5_exp_xy = np.array((h5_exp['x'], h5_exp['y'])) + + self.cols = np.zeros((self.exp_size,), dtype=np.uintc) + # self.cols = vector[UINT32_t](self.exp_size) + logger.info("gene_count_index start") + gene_count_index(h5_gene['count'], self.cols) + logger.info("gene_count_index end") + + # self.rows = vector[UINT32_t](self.exp_size) + self.rows = np.zeros((self.exp_size,), dtype=np.uintc) + exp_x = np.array(h5_exp['x']) + exp_y = np.array(h5_exp['y']) + logger.info("get_uniq_cell start") + self.cells = get_uniq_cell(exp_x, exp_y, self.rows, self.exp_size) + logger.info("get_uniq_cell end") + self.cell_num = self.cells.size() diff --git a/stereo/io/khash.h b/stereo/io/khash.h new file mode 100644 index 00000000..f75f3474 --- /dev/null +++ b/stereo/io/khash.h @@ -0,0 +1,627 @@ +/* The MIT License + + Copyright (c) 2008, 2009, 2011 by Attractive Chaos + + Permission is hereby granted, free of charge, to any person obtaining + a copy of this software and associated documentation files (the + "Software"), to deal in the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to + permit persons to whom the Software is furnished to do so, subject to + the following conditions: + + The above copyright notice and this permission notice shall be + included in all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS + BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN + ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN + CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE. +*/ + +/* + An example: + +#include "khash.h" +KHASH_MAP_INIT_INT(32, char) +int main() { + int ret, is_missing; + khiter_t k; + khash_t(32) *h = kh_init(32); + k = kh_put(32, h, 5, &ret); + kh_value(h, k) = 10; + k = kh_get(32, h, 10); + is_missing = (k == kh_end(h)); + k = kh_get(32, h, 5); + kh_del(32, h, k); + for (k = kh_begin(h); k != kh_end(h); ++k) + if (kh_exist(h, k)) kh_value(h, k) = 1; + kh_destroy(32, h); + return 0; +} +*/ + +/* + 2013-05-02 (0.2.8): + + * Use quadratic probing. When the capacity is power of 2, stepping function + i*(i+1)/2 guarantees to traverse each bucket. It is better than double + hashing on cache performance and is more robust than linear probing. + + In theory, double hashing should be more robust than quadratic probing. + However, my implementation is probably not for large hash tables, because + the second hash function is closely tied to the first hash function, + which reduce the effectiveness of double hashing. + + Reference: http://research.cs.vt.edu/AVresearch/hashing/quadratic.php + + 2011-12-29 (0.2.7): + + * Minor code clean up; no actual effect. + + 2011-09-16 (0.2.6): + + * The capacity is a power of 2. This seems to dramatically improve the + speed for simple keys. Thank Zilong Tan for the suggestion. Reference: + + - http://code.google.com/p/ulib/ + - http://nothings.org/computer/judy/ + + * Allow to optionally use linear probing which usually has better + performance for random input. Double hashing is still the default as it + is more robust to certain non-random input. + + * Added Wang's integer hash function (not used by default). This hash + function is more robust to certain non-random input. + + 2011-02-14 (0.2.5): + + * Allow to declare global functions. + + 2009-09-26 (0.2.4): + + * Improve portability + + 2008-09-19 (0.2.3): + + * Corrected the example + * Improved interfaces + + 2008-09-11 (0.2.2): + + * Improved speed a little in kh_put() + + 2008-09-10 (0.2.1): + + * Added kh_clear() + * Fixed a compiling error + + 2008-09-02 (0.2.0): + + * Changed to token concatenation which increases flexibility. + + 2008-08-31 (0.1.2): + + * Fixed a bug in kh_get(), which has not been tested previously. + + 2008-08-31 (0.1.1): + + * Added destructor +*/ + + +#ifndef __AC_KHASH_H +#define __AC_KHASH_H + +/*! + @header + + Generic hash table library. + */ + +#define AC_VERSION_KHASH_H "0.2.8" + +#include +#include +#include + +/* compiler specific configuration */ + +#if UINT_MAX == 0xffffffffu +typedef unsigned int khint32_t; +#elif ULONG_MAX == 0xffffffffu +typedef unsigned long khint32_t; +#endif + +#if ULONG_MAX == ULLONG_MAX +typedef unsigned long khint64_t; +#else +typedef unsigned long long khint64_t; +#endif + +#ifndef kh_inline +#ifdef _MSC_VER +#define kh_inline __inline +#else +#define kh_inline inline +#endif +#endif /* kh_inline */ + +#ifndef klib_unused +#if (defined __clang__ && __clang_major__ >= 3) || (defined __GNUC__ && __GNUC__ >= 3) +#define klib_unused __attribute__ ((__unused__)) +#else +#define klib_unused +#endif +#endif /* klib_unused */ + +typedef khint32_t khint_t; +typedef khint_t khiter_t; + +#define __ac_isempty(flag, i) ((flag[i>>4]>>((i&0xfU)<<1))&2) +#define __ac_isdel(flag, i) ((flag[i>>4]>>((i&0xfU)<<1))&1) +#define __ac_iseither(flag, i) ((flag[i>>4]>>((i&0xfU)<<1))&3) +#define __ac_set_isdel_false(flag, i) (flag[i>>4]&=~(1ul<<((i&0xfU)<<1))) +#define __ac_set_isempty_false(flag, i) (flag[i>>4]&=~(2ul<<((i&0xfU)<<1))) +#define __ac_set_isboth_false(flag, i) (flag[i>>4]&=~(3ul<<((i&0xfU)<<1))) +#define __ac_set_isdel_true(flag, i) (flag[i>>4]|=1ul<<((i&0xfU)<<1)) + +#define __ac_fsize(m) ((m) < 16? 1 : (m)>>4) + +#ifndef kroundup32 +#define kroundup32(x) (--(x), (x)|=(x)>>1, (x)|=(x)>>2, (x)|=(x)>>4, (x)|=(x)>>8, (x)|=(x)>>16, ++(x)) +#endif + +#ifndef kcalloc +#define kcalloc(N,Z) calloc(N,Z) +#endif +#ifndef kmalloc +#define kmalloc(Z) malloc(Z) +#endif +#ifndef krealloc +#define krealloc(P,Z) realloc(P,Z) +#endif +#ifndef kfree +#define kfree(P) free(P) +#endif + +static const double __ac_HASH_UPPER = 0.77; + +#define __KHASH_TYPE(name, khkey_t, khval_t) \ + typedef struct kh_##name##_s { \ + khint_t n_buckets, size, n_occupied, upper_bound; \ + khint32_t *flags; \ + khkey_t *keys; \ + khval_t *vals; \ + } kh_##name##_t; + +#define __KHASH_PROTOTYPES(name, khkey_t, khval_t) \ + extern kh_##name##_t *kh_init_##name(void); \ + extern void kh_destroy_##name(kh_##name##_t *h); \ + extern void kh_clear_##name(kh_##name##_t *h); \ + extern khint_t kh_get_##name(const kh_##name##_t *h, khkey_t key); \ + extern int kh_resize_##name(kh_##name##_t *h, khint_t new_n_buckets); \ + extern khint_t kh_put_##name(kh_##name##_t *h, khkey_t key, int *ret); \ + extern void kh_del_##name(kh_##name##_t *h, khint_t x); + +#define __KHASH_IMPL(name, SCOPE, khkey_t, khval_t, kh_is_map, __hash_func, __hash_equal) \ + SCOPE kh_##name##_t *kh_init_##name(void) { \ + return (kh_##name##_t*)kcalloc(1, sizeof(kh_##name##_t)); \ + } \ + SCOPE void kh_destroy_##name(kh_##name##_t *h) \ + { \ + if (h) { \ + kfree((void *)h->keys); kfree(h->flags); \ + kfree((void *)h->vals); \ + kfree(h); \ + } \ + } \ + SCOPE void kh_clear_##name(kh_##name##_t *h) \ + { \ + if (h && h->flags) { \ + memset(h->flags, 0xaa, __ac_fsize(h->n_buckets) * sizeof(khint32_t)); \ + h->size = h->n_occupied = 0; \ + } \ + } \ + SCOPE khint_t kh_get_##name(const kh_##name##_t *h, khkey_t key) \ + { \ + if (h->n_buckets) { \ + khint_t k, i, last, mask, step = 0; \ + mask = h->n_buckets - 1; \ + k = __hash_func(key); i = k & mask; \ + last = i; \ + while (!__ac_isempty(h->flags, i) && (__ac_isdel(h->flags, i) || !__hash_equal(h->keys[i], key))) { \ + i = (i + (++step)) & mask; \ + if (i == last) return h->n_buckets; \ + } \ + return __ac_iseither(h->flags, i)? h->n_buckets : i; \ + } else return 0; \ + } \ + SCOPE int kh_resize_##name(kh_##name##_t *h, khint_t new_n_buckets) \ + { /* This function uses 0.25*n_buckets bytes of working space instead of [sizeof(key_t+val_t)+.25]*n_buckets. */ \ + khint32_t *new_flags = 0; \ + khint_t j = 1; \ + { \ + kroundup32(new_n_buckets); \ + if (new_n_buckets < 4) new_n_buckets = 4; \ + if (h->size >= (khint_t)(new_n_buckets * __ac_HASH_UPPER + 0.5)) j = 0; /* requested size is too small */ \ + else { /* hash table size to be changed (shrink or expand); rehash */ \ + new_flags = (khint32_t*)kmalloc(__ac_fsize(new_n_buckets) * sizeof(khint32_t)); \ + if (!new_flags) return -1; \ + memset(new_flags, 0xaa, __ac_fsize(new_n_buckets) * sizeof(khint32_t)); \ + if (h->n_buckets < new_n_buckets) { /* expand */ \ + khkey_t *new_keys = (khkey_t*)krealloc((void *)h->keys, new_n_buckets * sizeof(khkey_t)); \ + if (!new_keys) { kfree(new_flags); return -1; } \ + h->keys = new_keys; \ + if (kh_is_map) { \ + khval_t *new_vals = (khval_t*)krealloc((void *)h->vals, new_n_buckets * sizeof(khval_t)); \ + if (!new_vals) { kfree(new_flags); return -1; } \ + h->vals = new_vals; \ + } \ + } /* otherwise shrink */ \ + } \ + } \ + if (j) { /* rehashing is needed */ \ + for (j = 0; j != h->n_buckets; ++j) { \ + if (__ac_iseither(h->flags, j) == 0) { \ + khkey_t key = h->keys[j]; \ + khval_t val; \ + khint_t new_mask; \ + new_mask = new_n_buckets - 1; \ + if (kh_is_map) val = h->vals[j]; \ + __ac_set_isdel_true(h->flags, j); \ + while (1) { /* kick-out process; sort of like in Cuckoo hashing */ \ + khint_t k, i, step = 0; \ + k = __hash_func(key); \ + i = k & new_mask; \ + while (!__ac_isempty(new_flags, i)) i = (i + (++step)) & new_mask; \ + __ac_set_isempty_false(new_flags, i); \ + if (i < h->n_buckets && __ac_iseither(h->flags, i) == 0) { /* kick out the existing element */ \ + { khkey_t tmp = h->keys[i]; h->keys[i] = key; key = tmp; } \ + if (kh_is_map) { khval_t tmp = h->vals[i]; h->vals[i] = val; val = tmp; } \ + __ac_set_isdel_true(h->flags, i); /* mark it as deleted in the old hash table */ \ + } else { /* write the element and jump out of the loop */ \ + h->keys[i] = key; \ + if (kh_is_map) h->vals[i] = val; \ + break; \ + } \ + } \ + } \ + } \ + if (h->n_buckets > new_n_buckets) { /* shrink the hash table */ \ + h->keys = (khkey_t*)krealloc((void *)h->keys, new_n_buckets * sizeof(khkey_t)); \ + if (kh_is_map) h->vals = (khval_t*)krealloc((void *)h->vals, new_n_buckets * sizeof(khval_t)); \ + } \ + kfree(h->flags); /* free the working space */ \ + h->flags = new_flags; \ + h->n_buckets = new_n_buckets; \ + h->n_occupied = h->size; \ + h->upper_bound = (khint_t)(h->n_buckets * __ac_HASH_UPPER + 0.5); \ + } \ + return 0; \ + } \ + SCOPE khint_t kh_put_##name(kh_##name##_t *h, khkey_t key, int *ret) \ + { \ + khint_t x; \ + if (h->n_occupied >= h->upper_bound) { /* update the hash table */ \ + if (h->n_buckets > (h->size<<1)) { \ + if (kh_resize_##name(h, h->n_buckets - 1) < 0) { /* clear "deleted" elements */ \ + *ret = -1; return h->n_buckets; \ + } \ + } else if (kh_resize_##name(h, h->n_buckets + 1) < 0) { /* expand the hash table */ \ + *ret = -1; return h->n_buckets; \ + } \ + } /* TODO: to implement automatically shrinking; resize() already support shrinking */ \ + { \ + khint_t k, i, site, last, mask = h->n_buckets - 1, step = 0; \ + x = site = h->n_buckets; k = __hash_func(key); i = k & mask; \ + if (__ac_isempty(h->flags, i)) x = i; /* for speed up */ \ + else { \ + last = i; \ + while (!__ac_isempty(h->flags, i) && (__ac_isdel(h->flags, i) || !__hash_equal(h->keys[i], key))) { \ + if (__ac_isdel(h->flags, i)) site = i; \ + i = (i + (++step)) & mask; \ + if (i == last) { x = site; break; } \ + } \ + if (x == h->n_buckets) { \ + if (__ac_isempty(h->flags, i) && site != h->n_buckets) x = site; \ + else x = i; \ + } \ + } \ + } \ + if (__ac_isempty(h->flags, x)) { /* not present at all */ \ + h->keys[x] = key; \ + __ac_set_isboth_false(h->flags, x); \ + ++h->size; ++h->n_occupied; \ + *ret = 1; \ + } else if (__ac_isdel(h->flags, x)) { /* deleted */ \ + h->keys[x] = key; \ + __ac_set_isboth_false(h->flags, x); \ + ++h->size; \ + *ret = 2; \ + } else *ret = 0; /* Don't touch h->keys[x] if present and not deleted */ \ + return x; \ + } \ + SCOPE void kh_del_##name(kh_##name##_t *h, khint_t x) \ + { \ + if (x != h->n_buckets && !__ac_iseither(h->flags, x)) { \ + __ac_set_isdel_true(h->flags, x); \ + --h->size; \ + } \ + } + +#define KHASH_DECLARE(name, khkey_t, khval_t) \ + __KHASH_TYPE(name, khkey_t, khval_t) \ + __KHASH_PROTOTYPES(name, khkey_t, khval_t) + +#define KHASH_INIT2(name, SCOPE, khkey_t, khval_t, kh_is_map, __hash_func, __hash_equal) \ + __KHASH_TYPE(name, khkey_t, khval_t) \ + __KHASH_IMPL(name, SCOPE, khkey_t, khval_t, kh_is_map, __hash_func, __hash_equal) + +#define KHASH_INIT(name, khkey_t, khval_t, kh_is_map, __hash_func, __hash_equal) \ + KHASH_INIT2(name, static kh_inline klib_unused, khkey_t, khval_t, kh_is_map, __hash_func, __hash_equal) + +/* --- BEGIN OF HASH FUNCTIONS --- */ + +/*! @function + @abstract Integer hash function + @param key The integer [khint32_t] + @return The hash value [khint_t] + */ +#define kh_int_hash_func(key) (khint32_t)(key) +/*! @function + @abstract Integer comparison function + */ +#define kh_int_hash_equal(a, b) ((a) == (b)) +/*! @function + @abstract 64-bit integer hash function + @param key The integer [khint64_t] + @return The hash value [khint_t] + */ +#define kh_int64_hash_func(key) (khint32_t)((key)>>33^(key)^(key)<<11) +/*! @function + @abstract 64-bit integer comparison function + */ +#define kh_int64_hash_equal(a, b) ((a) == (b)) +/*! @function + @abstract const char* hash function + @param s Pointer to a null terminated string + @return The hash value + */ +static kh_inline khint_t __ac_X31_hash_string(const char *s) +{ + khint_t h = (khint_t)*s; + if (h) for (++s ; *s; ++s) h = (h << 5) - h + (khint_t)*s; + return h; +} +/*! @function + @abstract Another interface to const char* hash function + @param key Pointer to a null terminated string [const char*] + @return The hash value [khint_t] + */ +#define kh_str_hash_func(key) __ac_X31_hash_string(key) +/*! @function + @abstract Const char* comparison function + */ +#define kh_str_hash_equal(a, b) (strcmp(a, b) == 0) + +static kh_inline khint_t __ac_Wang_hash(khint_t key) +{ + key += ~(key << 15); + key ^= (key >> 10); + key += (key << 3); + key ^= (key >> 6); + key += ~(key << 11); + key ^= (key >> 16); + return key; +} +#define kh_int_hash_func2(key) __ac_Wang_hash((khint_t)key) + +/* --- END OF HASH FUNCTIONS --- */ + +/* Other convenient macros... */ + +/*! + @abstract Type of the hash table. + @param name Name of the hash table [symbol] + */ +#define khash_t(name) kh_##name##_t + +/*! @function + @abstract Initiate a hash table. + @param name Name of the hash table [symbol] + @return Pointer to the hash table [khash_t(name)*] + */ +#define kh_init(name) kh_init_##name() + +/*! @function + @abstract Destroy a hash table. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + */ +#define kh_destroy(name, h) kh_destroy_##name(h) + +/*! @function + @abstract Reset a hash table without deallocating memory. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + */ +#define kh_clear(name, h) kh_clear_##name(h) + +/*! @function + @abstract Resize a hash table. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + @param s New size [khint_t] + */ +#define kh_resize(name, h, s) kh_resize_##name(h, s) + +/*! @function + @abstract Insert a key to the hash table. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + @param k Key [type of keys] + @param r Extra return code: -1 if the operation failed; + 0 if the key is present in the hash table; + 1 if the bucket is empty (never used); 2 if the element in + the bucket has been deleted [int*] + @return Iterator to the inserted element [khint_t] + */ +#define kh_put(name, h, k, r) kh_put_##name(h, k, r) + +/*! @function + @abstract Retrieve a key from the hash table. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + @param k Key [type of keys] + @return Iterator to the found element, or kh_end(h) if the element is absent [khint_t] + */ +#define kh_get(name, h, k) kh_get_##name(h, k) + +/*! @function + @abstract Remove a key from the hash table. + @param name Name of the hash table [symbol] + @param h Pointer to the hash table [khash_t(name)*] + @param k Iterator to the element to be deleted [khint_t] + */ +#define kh_del(name, h, k) kh_del_##name(h, k) + +/*! @function + @abstract Test whether a bucket contains data. + @param h Pointer to the hash table [khash_t(name)*] + @param x Iterator to the bucket [khint_t] + @return 1 if containing data; 0 otherwise [int] + */ +#define kh_exist(h, x) (!__ac_iseither((h)->flags, (x))) + +/*! @function + @abstract Get key given an iterator + @param h Pointer to the hash table [khash_t(name)*] + @param x Iterator to the bucket [khint_t] + @return Key [type of keys] + */ +#define kh_key(h, x) ((h)->keys[x]) + +/*! @function + @abstract Get value given an iterator + @param h Pointer to the hash table [khash_t(name)*] + @param x Iterator to the bucket [khint_t] + @return Value [type of values] + @discussion For hash sets, calling this results in segfault. + */ +#define kh_val(h, x) ((h)->vals[x]) + +/*! @function + @abstract Alias of kh_val() + */ +#define kh_value(h, x) ((h)->vals[x]) + +/*! @function + @abstract Get the start iterator + @param h Pointer to the hash table [khash_t(name)*] + @return The start iterator [khint_t] + */ +#define kh_begin(h) (khint_t)(0) + +/*! @function + @abstract Get the end iterator + @param h Pointer to the hash table [khash_t(name)*] + @return The end iterator [khint_t] + */ +#define kh_end(h) ((h)->n_buckets) + +/*! @function + @abstract Get the number of elements in the hash table + @param h Pointer to the hash table [khash_t(name)*] + @return Number of elements in the hash table [khint_t] + */ +#define kh_size(h) ((h)->size) + +/*! @function + @abstract Get the number of buckets in the hash table + @param h Pointer to the hash table [khash_t(name)*] + @return Number of buckets in the hash table [khint_t] + */ +#define kh_n_buckets(h) ((h)->n_buckets) + +/*! @function + @abstract Iterate over the entries in the hash table + @param h Pointer to the hash table [khash_t(name)*] + @param kvar Variable to which key will be assigned + @param vvar Variable to which value will be assigned + @param code Block of code to execute + */ +#define kh_foreach(h, kvar, vvar, code) { khint_t __i; \ + for (__i = kh_begin(h); __i != kh_end(h); ++__i) { \ + if (!kh_exist(h,__i)) continue; \ + (kvar) = kh_key(h,__i); \ + (vvar) = kh_val(h,__i); \ + code; \ + } } + +/*! @function + @abstract Iterate over the values in the hash table + @param h Pointer to the hash table [khash_t(name)*] + @param vvar Variable to which value will be assigned + @param code Block of code to execute + */ +#define kh_foreach_value(h, vvar, code) { khint_t __i; \ + for (__i = kh_begin(h); __i != kh_end(h); ++__i) { \ + if (!kh_exist(h,__i)) continue; \ + (vvar) = kh_val(h,__i); \ + code; \ + } } + +/* More convenient interfaces */ + +/*! @function + @abstract Instantiate a hash set containing integer keys + @param name Name of the hash table [symbol] + */ +#define KHASH_SET_INIT_INT(name) \ + KHASH_INIT(name, khint32_t, char, 0, kh_int_hash_func, kh_int_hash_equal) + +/*! @function + @abstract Instantiate a hash map containing integer keys + @param name Name of the hash table [symbol] + @param khval_t Type of values [type] + */ +#define KHASH_MAP_INIT_INT(name, khval_t) \ + KHASH_INIT(name, khint32_t, khval_t, 1, kh_int_hash_func, kh_int_hash_equal) + +/*! @function + @abstract Instantiate a hash set containing 64-bit integer keys + @param name Name of the hash table [symbol] + */ +#define KHASH_SET_INIT_INT64(name) \ + KHASH_INIT(name, khint64_t, char, 0, kh_int64_hash_func, kh_int64_hash_equal) + +/*! @function + @abstract Instantiate a hash map containing 64-bit integer keys + @param name Name of the hash table [symbol] + @param khval_t Type of values [type] + */ +#define KHASH_MAP_INIT_INT64(name, khval_t) \ + KHASH_INIT(name, khint64_t, khval_t, 1, kh_int64_hash_func, kh_int64_hash_equal) + +typedef const char *kh_cstr_t; +/*! @function + @abstract Instantiate a hash map containing const char* keys + @param name Name of the hash table [symbol] + */ +#define KHASH_SET_INIT_STR(name) \ + KHASH_INIT(name, kh_cstr_t, char, 0, kh_str_hash_func, kh_str_hash_equal) + +/*! @function + @abstract Instantiate a hash map containing const char* keys + @param name Name of the hash table [symbol] + @param khval_t Type of values [type] + */ +#define KHASH_MAP_INIT_STR(name, khval_t) \ + KHASH_INIT(name, kh_cstr_t, khval_t, 1, kh_str_hash_func, kh_str_hash_equal) + +#endif /* __AC_KHASH_H */ diff --git a/stereo/io/reader.py b/stereo/io/reader.py index 63831a6f..d5ce4cee 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -20,7 +20,8 @@ from ..log_manager import logger import h5py from stereo.io import h5ad -from stereo.io.gef import GEF +# from stereo.io.gef import GEF +from gef_cy import GEF from scipy.sparse import csr_matrix from ..core.cell import Cell from ..core.gene import Gene @@ -30,6 +31,7 @@ from typing import Optional + def read_gem(file_path, sep='\t', bin_type="bins", bin_size=100, is_sparse=True): """ read the stereo-seq file, and generate the object of StereoExpData. @@ -313,7 +315,31 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None :return: an object of StereoExpData. """ - gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) - gef.build(gene_lst=gene_lst, region=region) - data = gef.to_stereo_exp_data() + # gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) + # gef.build(gene_lst=gene_lst, region=region) + # data = gef.to_stereo_exp_data() + logger.info(f'begin.') + gef = GEF(file_path, bin_size) + gene_num = gef.get_gene_num() + exp_len = gef.get_exp_len() + rows = np.zeros((exp_len,), dtype='uint32') + cols = np.zeros((exp_len,), dtype='uint32') + count = np.zeros((exp_len,), dtype='uint32') + uniq_genes = np.array((gene_num,), dtype='str') + + data = StereoExpData(file_path=file_path) + + uniq_cells = gef.get_exp_data(rows, count) + cell_num = len(uniq_cells) + + gef.get_gene_data(cols, uniq_genes) + logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') + uniq_cells + # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values + exp_matrix = csr_matrix((count, (rows, cols)), + shape=(cell_num, gene_num), dtype=np.uint32) + data.cells = Cell(cell_name=uniq_cells) + data.genes = Gene(gene_name=uniq_genes) + data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() + return data diff --git a/stereo/io/util.h b/stereo/io/util.h new file mode 100644 index 00000000..a13a9ac0 --- /dev/null +++ b/stereo/io/util.h @@ -0,0 +1,140 @@ + +#ifndef GENETOH5_UTIL_H +#define GENETOH5_UTIL_H + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +using namespace std; + +static constexpr char gene_merge[] = "/geneExp"; +static constexpr char dnb_merge[] = "/wholeExp"; +static constexpr unsigned int version = 2; +static constexpr size_t char_len = 32; + +const int READLEN = 256*1024; + +typedef struct +{ + unsigned int x; + unsigned int y; + unsigned int cnt; +}Gene; + +struct GenePos +{ + GenePos(const char* g, unsigned int o, unsigned c) + { + int i = 0; + while (g[i] != '\0') + { + gene[i] = g[i]; + ++i; + } + offset = o; + count = c; + } + char gene[char_len] = {0}; + unsigned int offset; + unsigned int count; +}; + +struct GeneInfo +{ + GeneInfo(const char *ptr):geneid(ptr){}; + const char *geneid; + std::vector *vecptr; +}; + +struct Genedata +{ + Genedata(const char *ptr):geneid(ptr),umicnt(0){}; + const char *geneid; + unsigned long umicnt; + float e10; + float c50; + unsigned int maxexp; + std::vector *vecdataptr; +}; + +typedef struct +{ + unsigned short count; + unsigned short genes; +}StatUC; + +typedef struct +{ + unsigned int count; + unsigned int genes; +}Stat; + +typedef struct +{ + unsigned int min_x; + unsigned int len_x; + unsigned int min_y; + unsigned int len_y; + unsigned int max_mid; + unsigned int max_gene; + unsigned long number; +} DnbAttr; + +typedef struct +{ + DnbAttr dnb_attr; + StatUC *pmatrix_uc; + Stat *pmatrix; + //std::unordered_map map_stat; +}DnbMatrix; + +struct GeneErank +{ + GeneErank(const char *ptr):geneid(ptr){}; + const char *geneid; + unsigned long umicnt; + float e10; + float c50; + char attribute[10]; +}; + +typedef struct +{ + unsigned int min_x; + unsigned int min_y; + unsigned int max_x; + unsigned int max_y; + unsigned int max_exp; +} ExpAttr; + +struct GeneStat +{ + GeneStat(std::string& g, unsigned int m, float e) + { + memcpy(gene, g.c_str(), g.size()); + MIDcount = m; + E10 = e; + } + char gene[char_len] = {0}; + unsigned int MIDcount; + float E10; +}; + +struct CommonPara +{ + unsigned int resolution; +}; + +#endif \ No newline at end of file diff --git a/stereo/utils/data_helper.py b/stereo/utils/data_helper.py index 1583c9e1..488a60d3 100644 --- a/stereo/utils/data_helper.py +++ b/stereo/utils/data_helper.py @@ -6,6 +6,8 @@ @file: data_helper.py @time: 2021/3/14 16:11 """ +import os.path + from scipy.sparse import issparse import pandas as pd import numpy as np @@ -37,6 +39,20 @@ def get_position_array(data, obs_key='spatial'): def exp_matrix2df(data: StereoExpData, cell_name: Optional[np.ndarray] = None, gene_name: Optional[np.ndarray] = None): + i = 1 + while os.path.exists(f"genes_raw_{i}.txt"): + i += 1 + with open(f"genes_raw_{i}.txt", 'w') as grw, open(f"genes_non_raw_{i}.txt", 'w') as gnw, open(f"genes_mark_{i}.list", 'w') as gmw: + for g in data.tl.raw.genes.gene_name: + grw.write(g) + grw.write('\n') + for g in data.genes.gene_name: + gnw.write(g) + gnw.write('\n') + for g in gene_name: + gmw.write(g) + gmw.write('\n') + if data.tl.raw: data = data.tl.raw cell_index = [np.argwhere(data.cells.cell_name == i)[0][0] for i in cell_name] if cell_name is not None else None From 0f5bb097f87c26c91e54e1e983475ceb27c0367a Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Mon, 1 Nov 2021 18:42:42 +0800 Subject: [PATCH 15/61] update requirements.txt MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit python38 需要默认imageio==2.9.0，与Pillow==8.2.0冲突（需要最低版大于8.2.0） --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index 53dcca37..92d2c294 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,5 @@ bokeh==2.3.3 +imageio==2.9.0 numpy>=1.20.3 matplotlib>=3.4.2 pandas>=1.3.3 From 24569cf43daf108a31f576cb62455a351ea54e23 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Mon, 1 Nov 2021 18:44:11 +0800 Subject: [PATCH 16/61] update Cython setup.py --- .gitignore | 2 + setup.py | 28 ++-- setup_build.py | 137 ++++++++++++++++++ setup_configure.py | 283 ++++++++++++++++++++++++++++++++++++++ stereo/io/gef_cy.pyx | 2 - stereo/io/gef_read.cpp | 59 ++++---- stereo/io/gef_read.h | 2 +- stereo/io/gef_read_cy.pyx | 68 ++++++--- stereo/io/reader.py | 15 +- 9 files changed, 516 insertions(+), 80 deletions(-) create mode 100644 setup_build.py create mode 100644 setup_configure.py diff --git a/.gitignore b/.gitignore index 50e8e29b..1c84fcda 100644 --- a/.gitignore +++ b/.gitignore @@ -128,3 +128,5 @@ dmypy.json # Pyre type checker .pyre/ + +h5config.json diff --git a/setup.py b/setup.py index 32729720..8b1ef7ac 100644 --- a/setup.py +++ b/setup.py @@ -6,32 +6,23 @@ @file:setup.py @time:2021/03/02 """ -from setuptools import setup, find_packages +from setuptools import Extension, setup, find_packages import sys from pathlib import Path -from distutils.core import setup -from distutils.extension import Extension -from Cython.Build import cythonize -from numpy import get_include + +# Newer packaging standards may recommend removing the current dir from the +# path, add it back if needed. +if '' not in sys.path: + sys.path.insert(0, '') +import setup_build if sys.version_info < (3, 7): sys.exit('stereopy requires Python >= 3.7') -ext_modules = cythonize({ - Extension("gef_cy", - ["stereo/io/gef_cy.pyx", "stereo/io/H5Reader.cpp"], - include_dirs=[get_include(), '/usr/include', - '/usr/local/include'], - libraries=["hdf5"], - language='c++', - extra_compile_args=["-std=c++11", "-Wno-sign-compare"] - ) -}) - setup( name='stereopy', version='0.2.0', - setup_requires=['setuptools_scm', 'numpy', 'panel', 'pytest', 'quilt3', 'scipy', 'phenograph'], + setup_requires=['pkgconfig', 'Cython', 'setuptools_scm', 'numpy', 'panel', 'pytest', 'quilt3', 'scipy', 'phenograph'], description='Spatial transcriptomic analysis in python.', long_description=Path('README.md').read_text('utf-8'), long_description_content_type="text/markdown", @@ -49,7 +40,7 @@ ), packages=find_packages(), include_package_data=True, - ext_modules=ext_modules, + ext_modules=[Extension('stereo.x', ['x.cpp'])], classifiers=[ 'Natural Language :: English', 'License :: OSI Approved :: MIT License', @@ -60,4 +51,5 @@ 'Topic :: Scientific/Engineering :: Bio-Informatics', 'Topic :: Scientific/Engineering :: Visualization', ], + cmdclass = {'build_ext': setup_build.stereo_build_ext} ) diff --git a/setup_build.py b/setup_build.py new file mode 100644 index 00000000..1c3c8f49 --- /dev/null +++ b/setup_build.py @@ -0,0 +1,137 @@ +#!/usr/bin/env python3 +""" + Implements a custom Distutils build_ext replacement, which handles the + full extension module build process, from cython code to C compilation and + linking. +""" + +try: + from setuptools import Extension +except ImportError: + from distutils.extension import Extension +from distutils.command.build_ext import build_ext +import sys +import os +import os.path as op +from pathlib import Path + +from setup_configure import BuildConfig + + +def localpath(*args): + return op.abspath(op.join(op.dirname(__file__), *args)) + + +COMPILER_SETTINGS = { + 'libraries': ['hdf5', 'hdf5_hl'], + 'include_dirs': [], + 'library_dirs': [], + 'define_macros': [('H5_USE_18_API', None), + ('NPY_NO_DEPRECATED_API', 0), + ], + 'language': 'c++', + 'extra_compile_args': ["-std=c++11", "-Wno-sign-compare"] +} + + +if sys.platform.startswith('win'): + COMPILER_SETTINGS['include_dirs'].append(localpath('windows')) + COMPILER_SETTINGS['define_macros'].extend([ + ('_HDF5USEDLL_', None), + ('H5_BUILT_AS_DYNAMIC_LIB', None) + ]) + + +class stereo_build_ext(build_ext): + """ + Custom distutils command which encapsulates api_gen pre-building, + Cython building, and C compilation. + + Also handles making the Extension modules, since we can't rely on + NumPy being present in the main body of the setup script. + """ + + @staticmethod + def _make_extensions(config): + """ Produce a list of Extension instances which can be passed to + cythonize(). + + This is the point at which custom directories, MPI options, etc. + enter the build process. + """ + import numpy + + settings = COMPILER_SETTINGS.copy() + + settings['include_dirs'][:0] = config.hdf5_includedirs + settings['library_dirs'][:0] = config.hdf5_libdirs + settings['define_macros'].extend(config.hdf5_define_macros) + + try: + numpy_includes = numpy.get_include() + except AttributeError: + # if numpy is not installed get the headers from the .egg directory + import numpy.core + numpy_includes = os.path.join(os.path.dirname(numpy.core.__file__), 'include') + + settings['include_dirs'] += [numpy_includes] + if config.mpi: + import mpi4py + settings['include_dirs'] += [mpi4py.get_include()] + + # TODO: should this only be done on UNIX? + if os.name != 'nt': + settings['runtime_library_dirs'] = settings['library_dirs'] + + def make_gef_cy_extension(): + sources = [localpath('stereo', 'io', 'gef_cy.pyx'), localpath('stereo', 'io', 'H5Reader.cpp')] + # return Extension('stereo.io.gef_cy', sources, **settings) + return Extension('stereo.io.gef_cy', sources, **settings) + + return [make_gef_cy_extension()] + + def run(self): + """ Distutils calls this method to run the command """ + + from Cython import __version__ as cython_version + from Cython.Build import cythonize + import numpy + + # This allows ccache to recognise the files when pip builds in a temp + # directory. It speeds up repeatedly running tests through tox with + # ccache configured (CC="ccache gcc"). It should have no effect if + # ccache is not in use. + os.environ['CCACHE_BASEDIR'] = op.dirname(op.abspath(__file__)) + os.environ['CCACHE_NOHASHDIR'] = '1' + + # Get configuration from environment variables + config = BuildConfig.from_env() + config.summarise() + + # Run Cython + print("Executing cythonize()") + self.extensions = cythonize(self._make_extensions(config), + force=config.changed() or self.force, + language_level=3) + + # Perform the build + build_ext.run(self) + + # Record the configuration we built + config.record_built() + + +def write_if_changed(target_path, s: str): + """Overwrite target_path unless the contents already match s + + Avoids changing the mtime when we're just writing the same data. + """ + p = Path(target_path) + b = s.encode('utf-8') + try: + if p.read_bytes() == b: + return + except FileNotFoundError: + pass + + p.write_bytes(b) diff --git a/setup_configure.py b/setup_configure.py new file mode 100644 index 00000000..16c355b0 --- /dev/null +++ b/setup_configure.py @@ -0,0 +1,283 @@ + +""" + Implements a new custom Distutils command for handling library + configuration. + + The "configure" command here doesn't directly affect things like + config.pxi; rather, it exists to provide a set of attributes that are + used by the build_ext replacement in setup_build.py. + + Options from the command line and environment variables are stored + between invocations in a pickle file. This allows configuring the library + once and e.g. calling "build" and "test" without recompiling everything + or explicitly providing the same options every time. + + This module also contains the auto-detection logic for figuring out + the currently installed HDF5 version. +""" + +import os +import os.path as op +import re +import sys +import json + + +def load_stashed_config(): + """ Load settings dict from the pickle file """ + try: + with open('h5config.json', 'r') as f: + cfg = json.load(f) + if not isinstance(cfg, dict): + raise TypeError + except Exception: + return {} + return cfg + + +def stash_config(dct): + """Save settings dict to the pickle file.""" + with open('h5config.json', 'w') as f: + json.dump(dct, f) + + +def validate_version(s): + """Ensure that s contains an X.Y.Z format version string, or ValueError.""" + m = re.match('(\d+)\.(\d+)\.(\d+)$', s) + if m: + return tuple(int(x) for x in m.groups()) + raise ValueError(f"HDF5 version string {s!r} not in X.Y.Z format") + + +def mpi_enabled(): + return os.environ.get('HDF5_MPI') == "ON" + + +class BuildConfig: + def __init__(self, hdf5_includedirs, hdf5_libdirs, hdf5_define_macros, hdf5_version, mpi, ros3): + self.hdf5_includedirs = hdf5_includedirs + self.hdf5_libdirs = hdf5_libdirs + self.hdf5_define_macros = hdf5_define_macros + self.hdf5_version = hdf5_version + self.mpi = mpi + self.ros3 = ros3 + + @classmethod + def from_env(cls): + mpi = mpi_enabled() + h5_inc, h5_lib, h5_macros = cls._find_hdf5_compiler_settings(mpi) + + h5_version_s = os.environ.get('HDF5_VERSION') + if h5_version_s: + h5_version = validate_version(h5_version_s) + h5_wrapper = HDF5LibWrapper(h5_lib) + else: + h5_wrapper = HDF5LibWrapper(h5_lib) + h5_version = h5_wrapper.autodetect_version() + if mpi and not h5_wrapper.has_mpi_support(): + raise RuntimeError("MPI support not detected") + ros3 = h5_wrapper.has_ros3_support() + + return cls(h5_inc, h5_lib, h5_macros, h5_version, mpi, ros3) + + @staticmethod + def _find_hdf5_compiler_settings(mpi=False): + """Get compiler settings from environment or pkgconfig. + + Returns (include_dirs, lib_dirs, define_macros) + """ + hdf5 = os.environ.get('HDF5_DIR') + hdf5_includedir = os.environ.get('HDF5_INCLUDEDIR') + hdf5_libdir = os.environ.get('HDF5_LIBDIR') + hdf5_pkgconfig_name = os.environ.get('HDF5_PKGCONFIG_NAME') + + if sum([ + bool(hdf5_includedir or hdf5_libdir), + bool(hdf5), + bool(hdf5_pkgconfig_name) + ]) > 1: + raise ValueError( + "Specify only one of: HDF5 lib/include dirs, HDF5 prefix dir, " + "or HDF5 pkgconfig name" + ) + + if hdf5_includedir or hdf5_libdir: + inc_dirs = [hdf5_includedir] if hdf5_includedir else [] + lib_dirs = [hdf5_libdir] if hdf5_libdir else [] + return (inc_dirs, lib_dirs, []) + + # Specified a prefix dir (e.g. '/usr/local') + if hdf5: + inc_dirs = [op.join(hdf5, 'include')] + lib_dirs = [op.join(hdf5, 'lib')] + if sys.platform.startswith('win'): + lib_dirs.append(op.join(hdf5, 'bin')) + return (inc_dirs, lib_dirs, []) + + # Specified a name to be looked up in pkgconfig + if hdf5_pkgconfig_name: + import pkgconfig + if not pkgconfig.exists(hdf5_pkgconfig_name): + raise ValueError( + f"No pkgconfig information for {hdf5_pkgconfig_name}" + ) + pc = pkgconfig.parse(hdf5_pkgconfig_name) + return (pc['include_dirs'], pc['library_dirs'], pc['define_macros']) + + # Fallback: query pkgconfig for default hdf5 names + import pkgconfig + pc_name = 'hdf5-openmpi' if mpi else 'hdf5' + pc = {} + try: + if pkgconfig.exists(pc_name): + pc = pkgconfig.parse(pc_name) + except EnvironmentError: + if os.name != 'nt': + print( + "Building h5py requires pkg-config unless the HDF5 path " + "is explicitly specified", file=sys.stderr + ) + raise + + return ( + pc.get('include_dirs', []), + pc.get('library_dirs', []), + pc.get('define_macros', []), + ) + + def as_dict(self): + return { + 'hdf5_includedirs': self.hdf5_includedirs, + 'hdf5_libdirs': self.hdf5_libdirs, + 'hdf5_define_macros': self.hdf5_define_macros, + 'hdf5_version': list(self.hdf5_version), # list() to match the JSON + 'mpi': self.mpi, + 'ros3': self.ros3, + } + + def changed(self): + """Has the config changed since the last build?""" + return self.as_dict() != load_stashed_config() + + def record_built(self): + """Record config after a successful build""" + stash_config(self.as_dict()) + + def summarise(self): + def fmt_dirs(l): + return '\n'.join((['['] + [f' {d!r}' for d in l] + [']'])) if l else '[]' + + print('*' * 80) + print(' ' * 23 + "Summary of the h5py configuration") + print('') + print("HDF5 include dirs:", fmt_dirs(self.hdf5_includedirs)) + print("HDF5 library dirs:", fmt_dirs(self.hdf5_libdirs)) + print(" HDF5 Version:", repr(self.hdf5_version)) + print(" MPI Enabled:", self.mpi) + print(" ROS3 VFD Enabled:", self.ros3) + print(" Rebuild Required:", self.changed()) + print('') + print('*' * 80) + + +class HDF5LibWrapper: + + def __init__(self, libdirs): + self._load_hdf5_lib(libdirs) + + def _load_hdf5_lib(self, libdirs): + """ + Detect and load the HDF5 library. + + Raises an exception if anything goes wrong. + + libdirs: the library paths to search for the library + """ + import ctypes + + # extra keyword args to pass to LoadLibrary + load_kw = {} + if sys.platform.startswith('darwin'): + default_path = 'libhdf5.dylib' + regexp = re.compile(r'^libhdf5.dylib') + elif sys.platform.startswith('win') or \ + sys.platform.startswith('cygwin'): + default_path = 'hdf5.dll' + regexp = re.compile(r'^hdf5.dll') + if sys.version_info >= (3, 8): + # To overcome "difficulty" loading the library on windows + # https://bugs.python.org/issue42114 + load_kw['winmode'] = 0 + else: + default_path = 'libhdf5.so' + regexp = re.compile(r'^libhdf5.so') + + path = None + for d in libdirs: + try: + candidates = [x for x in os.listdir(d) if regexp.match(x)] + except Exception: + continue # Skip invalid entries + + if len(candidates) != 0: + candidates.sort(key=lambda x: len(x)) # Prefer libfoo.so to libfoo.so.X.Y.Z + path = op.abspath(op.join(d, candidates[0])) + break + + if path is None: + path = default_path + + print("Loading library to get build settings and version:", path) + + self._lib_path = path + + if op.isabs(path) and not op.exists(path): + raise FileNotFoundError(f"{path} is missing") + + try: + lib = ctypes.CDLL(path, **load_kw) + except Exception: + print("error: Unable to load dependency HDF5, make sure HDF5 is installed properly") + raise + + self._lib = lib + + def autodetect_version(self): + """ + Detect the current version of HDF5, and return X.Y.Z version string. + + Raises an exception if anything goes wrong. + """ + import ctypes + from ctypes import byref + + major = ctypes.c_uint() + minor = ctypes.c_uint() + release = ctypes.c_uint() + + try: + self._lib.H5get_libversion(byref(major), byref(minor), byref(release)) + except Exception: + print("error: Unable to find HDF5 version") + raise + + return int(major.value), int(minor.value), int(release.value) + + def load_function(self, func_name): + try: + return getattr(self._lib, func_name) + except AttributeError: + # No such function + return None + + def has_functions(self, *func_names): + for func_name in func_names: + if self.load_function(func_name) is None: + return False + return True + + def has_mpi_support(self): + return self.has_functions("H5Pget_fapl_mpio", "H5Pset_fapl_mpio") + + def has_ros3_support(self): + return self.has_functions("H5Pget_fapl_ros3", "H5Pset_fapl_ros3") diff --git a/stereo/io/gef_cy.pyx b/stereo/io/gef_cy.pyx index 57cef26b..e6e5c910 100644 --- a/stereo/io/gef_cy.pyx +++ b/stereo/io/gef_cy.pyx @@ -32,8 +32,6 @@ cdef class GEF: cdef unsigned long long exp_len cdef unsigned int minX, minY, maxX, maxY, gene_num - h5py.h5d.DatasetID - # def __cinit__(self, filepath): # self.c_h5r = new H5Reader(filepath) # self.exp_len = self.c_h5r.getExpLen() diff --git a/stereo/io/gef_read.cpp b/stereo/io/gef_read.cpp index 69915b9e..946c68eb 100644 --- a/stereo/io/gef_read.cpp +++ b/stereo/io/gef_read.cpp @@ -2,42 +2,39 @@ #include -//vector cpp_uniq_cell_index(const vector &vec_x, const vector &vec_y, vector &rows) { -int cpp_uniq_cell_index(const unsigned int *vec_x, const unsigned int *vec_y, unsigned int *rows, unsigned long long len){ +vector cpp_uniq_cell_index(vector &vec_x, vector &vec_y, vector &rows, unsigned long long n_size) { time_t now = time(0); char* dt = ctime(&now); printf("cpp_uniq_cell_index start = %s\n", dt); + unsigned long long xy_id; + vector cells; + map cells_map; + auto first = vec_x.begin(); + auto end = vec_x.end(); + auto first_y = vec_y.begin(); + long index = 0; -// unsigned long long xy_id; -// vector cells; - int cells = 0; -// map cells_map; -// auto first = vec_x.begin(); -// auto end = vec_x.end(); -// auto first_y = vec_y.begin(); -// long index = 0; -// -// while (first != end) -// { -// xy_id = *first; -// xy_id = xy_id << 32 | *first_y; -// auto iter = cells_map.find(xy_id); -// -// if(iter != cells_map.end()){ -// rows.push_back(iter->second); -// }else { -// rows.push_back(index); -// cells.push_back(xy_id); -// cells_map.insert(map::value_type (xy_id, index)); -// ++index; -// } -// -// ++first; -// ++first_y; -// } -// now = time(0); -// dt = ctime(&now); + while (first != end) + { + xy_id = *first; + xy_id = xy_id << 32 | *first_y; + auto iter = cells_map.find(xy_id); + + if(iter != cells_map.end()){ + rows.push_back(iter->second); + }else { + rows.push_back(index); + cells.push_back(xy_id); + cells_map.insert(map::value_type (xy_id, index)); + ++index; + } + + ++first; + ++first_y; + } + now = time(0); + dt = ctime(&now); printf("cpp_uniq_cell_index end = %s\n", dt); return cells; } diff --git a/stereo/io/gef_read.h b/stereo/io/gef_read.h index 64b3c625..ea42a34a 100644 --- a/stereo/io/gef_read.h +++ b/stereo/io/gef_read.h @@ -4,6 +4,6 @@ using namespace std; using std::vector; -int cpp_uniq_cell_index(const unsigned int *vec_x, const unsigned int *vec_y, unsigned int *rows, unsigned long long len); +vector cpp_uniq_cell_index(vector & vec_x, vector & vec_y, vector & rows, unsigned long long n_size); int cpp_gene_count_index(const vector &gene_count, vector &cols); \ No newline at end of file diff --git a/stereo/io/gef_read_cy.pyx b/stereo/io/gef_read_cy.pyx index 90fe7294..cbe0bc3f 100644 --- a/stereo/io/gef_read_cy.pyx +++ b/stereo/io/gef_read_cy.pyx @@ -18,28 +18,39 @@ ctypedef np.npy_int32 INT32_t ctypedef np.npy_uint32 UINT32_t ctypedef np.npy_uint64 UINT64_t +cimport h5py + +from .defs cimport * +# +# from ._objects cimport ObjectID +# from ._objects cimport pdefault +# from h5py.h5t cimport TypeID, typewrap, py_create +from h5py.h5s cimport SpaceID +# from .h5p cimport PropID + + + +cimport h5py.h5t + cdef extern from "gef_read.h": - int cpp_uniq_cell_index(const unsigned int * vec_x, - const unsigned int * vec_y, - unsigned int * rows, - unsigned long long len); + vector[unsigned long long] cpp_uniq_cell_index(vector[unsigned int] & vec_x, + vector[unsigned int] & vec_y, + vector[unsigned int] & rows, + unsigned long long n_size); int cpp_gene_count_index(const vector[int] & gene_count, vector[int] & cols); -cdef get_uniq_cell(np.ndarray[UINT32_t, ndim=1] vec_x, np.ndarray[UINT32_t, ndim=1] vec_y, np.ndarray[UINT32_t, ndim=1] rows, unsigned long long len): - return cpp_uniq_cell_index( vec_x.data, vec_y.data, rows.data, len) +def get_uniq_cell(vector[unsigned int] & vec_x, vector[unsigned int] & vec_y, vector[unsigned int] & rows, unsigned long long n_size): + cdef vector[unsigned long long] cells = cpp_uniq_cell_index(vec_x, vec_y, rows, n_size) + return cells def gene_count_index(const vector[int] & gene_count, vector[int] & cols): return cpp_gene_count_index(gene_count, cols) cdef class GEF: - cdef UINT32_t [:] cols - cdef UINT32_t [:] rows - cdef UINT64_t [:] cells - # cdef vector[UINT32_t] cols - # cdef vector[UINT32_t] rows - # cdef vector[UINT64_t] cells + cdef vector[UINT32_t] cols + cdef vector[UINT32_t] rows cdef vector[string] genes cdef int cell_num cdef int gene_num @@ -50,13 +61,12 @@ cdef class GEF: def __init__(self, file_path, bin_size): self.file_path = file_path self.bin_size = bin_size - # self.genes = None self.cell_num = 0 self.gene_num = 0 self.exp_size = 0 - # self.cols = None - # self.rows = None - # self.cells = None + self.genes = vector[string]() + self.cols = vector[UINT32_t]() + self.rows = vector[UINT32_t]() self.build() def build(self): @@ -72,7 +82,7 @@ cdef class GEF: # self.cols = np.zeros((h5_exp.shape[0],), dtype='uint32') # h5_exp_xy = np.array((h5_exp['x'], h5_exp['y'])) - self.cols = np.zeros((self.exp_size,), dtype=np.uintc) + self.cols = np.zeros((self.exp_size,), dtype='uint32') # self.cols = vector[UINT32_t](self.exp_size) logger.info("gene_count_index start") gene_count_index(h5_gene['count'], self.cols) @@ -80,9 +90,25 @@ cdef class GEF: # self.rows = vector[UINT32_t](self.exp_size) self.rows = np.zeros((self.exp_size,), dtype=np.uintc) - exp_x = np.array(h5_exp['x']) - exp_y = np.array(h5_exp['y']) + # exp_x = np.array(h5_exp['x'], ) + # exp_y = np.array(h5_exp['y']) logger.info("get_uniq_cell start") - self.cells = get_uniq_cell(exp_x, exp_y, self.rows, self.exp_size) + # get_uniq_cell(h5_exp['x'], h5_exp['y'], self.rows, self.exp_size) + cells = cpp_uniq_cell_index(h5_exp['x'], h5_exp['y'], self.rows, self.exp_size) + # self.cells = cells logger.info("get_uniq_cell end") - self.cell_num = self.cells.size() + # self.cell_num = self.cells.size() + + def get_exp_data(self, cell_index, count): + cpp_uniq_cell_index(self.h5_exp['x'], self.h5_exp['y'], self.rows) + cdef vector[unsigned long long] uniq_cell = self.c_h5r.getExpData(cell_index, count) + return uniq_cell + + def get_exp_len(self): + return self.c_h5r.getExpLen() + + def get_gene_num(self): + return self.c_h5r.getGeneNum() + + def get_gene_data(self, gene_index, uniq_genes): + return self.c_h5r.getGeneData(gene_index, uniq_genes) \ No newline at end of file diff --git a/stereo/io/reader.py b/stereo/io/reader.py index d5ce4cee..2702a5e5 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -21,7 +21,7 @@ import h5py from stereo.io import h5ad # from stereo.io.gef import GEF -from gef_cy import GEF +from .gef_cy import GEF from scipy.sparse import csr_matrix from ..core.cell import Cell from ..core.gene import Gene @@ -31,7 +31,6 @@ from typing import Optional - def read_gem(file_path, sep='\t', bin_type="bins", bin_size=100, is_sparse=True): """ read the stereo-seq file, and generate the object of StereoExpData. @@ -315,10 +314,12 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None :return: an object of StereoExpData. """ + # gef = GEF(file_path=file_path, bin_size=bin_size) + # print(gef.cols.size) # gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) # gef.build(gene_lst=gene_lst, region=region) # data = gef.to_stereo_exp_data() - logger.info(f'begin.') + # logger.info(f'begin.') gef = GEF(file_path, bin_size) gene_num = gef.get_gene_num() exp_len = gef.get_exp_len() @@ -331,10 +332,10 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None uniq_cells = gef.get_exp_data(rows, count) cell_num = len(uniq_cells) - - gef.get_gene_data(cols, uniq_genes) - logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') - uniq_cells + # + # gef.get_gene_data(cols, uniq_genes) + # logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') + # uniq_cells # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values exp_matrix = csr_matrix((count, (rows, cols)), shape=(cell_num, gene_num), dtype=np.uint32) From a43c940575b4bb06bf2dd1af0c0ee988401a05b3 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Mon, 1 Nov 2021 18:50:40 +0800 Subject: [PATCH 17/61] remove unuseful code --- stereo/io/gef_read.cpp | 52 ----------------- stereo/io/gef_read.h | 9 --- stereo/io/gef_read_cy.pyx | 114 -------------------------------------- stereo/io/reader.py | 61 ++++++++++---------- 4 files changed, 31 insertions(+), 205 deletions(-) delete mode 100644 stereo/io/gef_read.cpp delete mode 100644 stereo/io/gef_read.h delete mode 100644 stereo/io/gef_read_cy.pyx diff --git a/stereo/io/gef_read.cpp b/stereo/io/gef_read.cpp deleted file mode 100644 index 946c68eb..00000000 --- a/stereo/io/gef_read.cpp +++ /dev/null @@ -1,52 +0,0 @@ -#include "gef_read.h" - -#include - -vector cpp_uniq_cell_index(vector &vec_x, vector &vec_y, vector &rows, unsigned long long n_size) { - time_t now = time(0); - char* dt = ctime(&now); - printf("cpp_uniq_cell_index start = %s\n", dt); - - unsigned long long xy_id; - vector cells; - map cells_map; - auto first = vec_x.begin(); - auto end = vec_x.end(); - auto first_y = vec_y.begin(); - long index = 0; - - while (first != end) - { - xy_id = *first; - xy_id = xy_id << 32 | *first_y; - auto iter = cells_map.find(xy_id); - - if(iter != cells_map.end()){ - rows.push_back(iter->second); - }else { - rows.push_back(index); - cells.push_back(xy_id); - cells_map.insert(map::value_type (xy_id, index)); - ++index; - } - - ++first; - ++first_y; - } - now = time(0); - dt = ctime(&now); - printf("cpp_uniq_cell_index end = %s\n", dt); - return cells; -} - - -int cpp_gene_count_index(const vector &gene_count, vector &cols) { - int gene_index = 0; - for(int c : gene_count){ - for (int i = 0; i < c; ++i) { - cols.push_back(gene_index); - } - gene_index ++; - } - return gene_index; -} diff --git a/stereo/io/gef_read.h b/stereo/io/gef_read.h deleted file mode 100644 index ea42a34a..00000000 --- a/stereo/io/gef_read.h +++ /dev/null @@ -1,9 +0,0 @@ -#include -#include - -using namespace std; -using std::vector; - -vector cpp_uniq_cell_index(vector & vec_x, vector & vec_y, vector & rows, unsigned long long n_size); - -int cpp_gene_count_index(const vector &gene_count, vector &cols); \ No newline at end of file diff --git a/stereo/io/gef_read_cy.pyx b/stereo/io/gef_read_cy.pyx deleted file mode 100644 index cbe0bc3f..00000000 --- a/stereo/io/gef_read_cy.pyx +++ /dev/null @@ -1,114 +0,0 @@ -# -*- coding: utf-8 -*- -# distutils: language=c++ -# cython: language_level=3, boundscheck=False -# cython: c_string_type=unicode, c_string_encoding=utf8 -# Created by huangzhibo on 2021/10/22 - - -import numpy as np -cimport numpy as np -cimport cython -import h5py -from stereo.log_manager import logger - -from libcpp.vector cimport vector -from libcpp.string cimport string - -ctypedef np.npy_int32 INT32_t -ctypedef np.npy_uint32 UINT32_t -ctypedef np.npy_uint64 UINT64_t - -cimport h5py - -from .defs cimport * -# -# from ._objects cimport ObjectID -# from ._objects cimport pdefault -# from h5py.h5t cimport TypeID, typewrap, py_create -from h5py.h5s cimport SpaceID -# from .h5p cimport PropID - - - -cimport h5py.h5t - -cdef extern from "gef_read.h": - vector[unsigned long long] cpp_uniq_cell_index(vector[unsigned int] & vec_x, - vector[unsigned int] & vec_y, - vector[unsigned int] & rows, - unsigned long long n_size); - - int cpp_gene_count_index(const vector[int] & gene_count, vector[int] & cols); - -def get_uniq_cell(vector[unsigned int] & vec_x, vector[unsigned int] & vec_y, vector[unsigned int] & rows, unsigned long long n_size): - cdef vector[unsigned long long] cells = cpp_uniq_cell_index(vec_x, vec_y, rows, n_size) - return cells - -def gene_count_index(const vector[int] & gene_count, vector[int] & cols): - return cpp_gene_count_index(gene_count, cols) - - -cdef class GEF: - cdef vector[UINT32_t] cols - cdef vector[UINT32_t] rows - cdef vector[string] genes - cdef int cell_num - cdef int gene_num - cdef int bin_size - cdef UINT64_t exp_size - cdef string file_path - - def __init__(self, file_path, bin_size): - self.file_path = file_path - self.bin_size = bin_size - self.cell_num = 0 - self.gene_num = 0 - self.exp_size = 0 - self.genes = vector[string]() - self.cols = vector[UINT32_t]() - self.rows = vector[UINT32_t]() - self.build() - - def build(self): - h5f = h5py.File(self.file_path, mode='r') - bin_tag = 'bin{}'.format(self.bin_size) - if bin_tag not in h5f['geneExp'].keys(): - raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) - - h5_exp = h5f['geneExp'][bin_tag]['expression'] - h5_gene = h5f['geneExp'][bin_tag]['gene'] - self.genes = np.array(h5_gene['gene']) - self.gene_num = len(self.genes) - # self.cols = np.zeros((h5_exp.shape[0],), dtype='uint32') - # h5_exp_xy = np.array((h5_exp['x'], h5_exp['y'])) - - self.cols = np.zeros((self.exp_size,), dtype='uint32') - # self.cols = vector[UINT32_t](self.exp_size) - logger.info("gene_count_index start") - gene_count_index(h5_gene['count'], self.cols) - logger.info("gene_count_index end") - - # self.rows = vector[UINT32_t](self.exp_size) - self.rows = np.zeros((self.exp_size,), dtype=np.uintc) - # exp_x = np.array(h5_exp['x'], ) - # exp_y = np.array(h5_exp['y']) - logger.info("get_uniq_cell start") - # get_uniq_cell(h5_exp['x'], h5_exp['y'], self.rows, self.exp_size) - cells = cpp_uniq_cell_index(h5_exp['x'], h5_exp['y'], self.rows, self.exp_size) - # self.cells = cells - logger.info("get_uniq_cell end") - # self.cell_num = self.cells.size() - - def get_exp_data(self, cell_index, count): - cpp_uniq_cell_index(self.h5_exp['x'], self.h5_exp['y'], self.rows) - cdef vector[unsigned long long] uniq_cell = self.c_h5r.getExpData(cell_index, count) - return uniq_cell - - def get_exp_len(self): - return self.c_h5r.getExpLen() - - def get_gene_num(self): - return self.c_h5r.getGeneNum() - - def get_gene_data(self, gene_index, uniq_genes): - return self.c_h5r.getGeneData(gene_index, uniq_genes) \ No newline at end of file diff --git a/stereo/io/reader.py b/stereo/io/reader.py index 2702a5e5..9efb0dfa 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -20,8 +20,6 @@ from ..log_manager import logger import h5py from stereo.io import h5ad -# from stereo.io.gef import GEF -from .gef_cy import GEF from scipy.sparse import csr_matrix from ..core.cell import Cell from ..core.gene import Gene @@ -314,33 +312,36 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None :return: an object of StereoExpData. """ - # gef = GEF(file_path=file_path, bin_size=bin_size) - # print(gef.cols.size) - # gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) - # gef.build(gene_lst=gene_lst, region=region) - # data = gef.to_stereo_exp_data() - # logger.info(f'begin.') - gef = GEF(file_path, bin_size) - gene_num = gef.get_gene_num() - exp_len = gef.get_exp_len() - rows = np.zeros((exp_len,), dtype='uint32') - cols = np.zeros((exp_len,), dtype='uint32') - count = np.zeros((exp_len,), dtype='uint32') - uniq_genes = np.array((gene_num,), dtype='str') - - data = StereoExpData(file_path=file_path) - - uniq_cells = gef.get_exp_data(rows, count) - cell_num = len(uniq_cells) - # - # gef.get_gene_data(cols, uniq_genes) - # logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') - # uniq_cells - # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values - exp_matrix = csr_matrix((count, (rows, cols)), - shape=(cell_num, gene_num), dtype=np.uint32) - data.cells = Cell(cell_name=uniq_cells) - data.genes = Gene(gene_name=uniq_genes) - data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() + if (gene_lst is not None or region is not None): + from stereo.io.gef import GEF + gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) + gef.build(gene_lst=gene_lst, region=region) + data = gef.to_stereo_exp_data() + else: + from .gef_cy import GEF + logger.info(f'begin.') + gef = GEF(file_path, bin_size) + gene_num = gef.get_gene_num() + exp_len = gef.get_exp_len() + rows = np.zeros((exp_len,), dtype='uint32') + cols = np.zeros((exp_len,), dtype='uint32') + count = np.zeros((exp_len,), dtype='uint32') + uniq_genes = np.array((gene_num,), dtype='str') + + data = StereoExpData(file_path=file_path) + + uniq_cells = gef.get_exp_data(rows, count) + cell_num = len(uniq_cells) + + gef.get_gene_data(cols, uniq_genes) + # uniq_cells + # TODO position from uniq_cells + # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values + exp_matrix = csr_matrix((count, (rows, cols)), + shape=(cell_num, gene_num), dtype=np.uint32) + data.cells = Cell(cell_name=uniq_cells) + data.genes = Gene(gene_name=uniq_genes) + data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() + logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') return data From 5e0977e4405167a668024f8e8593fd84a40f799b Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Tue, 2 Nov 2021 10:43:00 +0800 Subject: [PATCH 18/61] remove unuseful code --- setup_build.py | 3 ++- setup_configure.py | 4 ++-- stereo/io/H5Reader.cpp | 21 ++++++++++----------- stereo/io/reader.py | 2 +- 4 files changed, 15 insertions(+), 15 deletions(-) diff --git a/setup_build.py b/setup_build.py index 1c3c8f49..6be98f8e 100644 --- a/setup_build.py +++ b/setup_build.py @@ -10,6 +10,7 @@ except ImportError: from distutils.extension import Extension from distutils.command.build_ext import build_ext + import sys import os import os.path as op @@ -23,7 +24,7 @@ def localpath(*args): COMPILER_SETTINGS = { - 'libraries': ['hdf5', 'hdf5_hl'], + 'libraries': ['hdf5'], 'include_dirs': [], 'library_dirs': [], 'define_macros': [('H5_USE_18_API', None), diff --git a/setup_configure.py b/setup_configure.py index 16c355b0..e931c806 100644 --- a/setup_configure.py +++ b/setup_configure.py @@ -134,7 +134,7 @@ def _find_hdf5_compiler_settings(mpi=False): except EnvironmentError: if os.name != 'nt': print( - "Building h5py requires pkg-config unless the HDF5 path " + "Building stereopy requires pkg-config unless the HDF5 path " "is explicitly specified", file=sys.stderr ) raise @@ -168,7 +168,7 @@ def fmt_dirs(l): return '\n'.join((['['] + [f' {d!r}' for d in l] + [']'])) if l else '[]' print('*' * 80) - print(' ' * 23 + "Summary of the h5py configuration") + print(' ' * 23 + "Summary of the stereopy configuration") print('') print("HDF5 include dirs:", fmt_dirs(self.hdf5_includedirs)) print("HDF5 library dirs:", fmt_dirs(self.hdf5_libdirs)) diff --git a/stereo/io/H5Reader.cpp b/stereo/io/H5Reader.cpp index a63f6ef0..7b28297f 100644 --- a/stereo/io/H5Reader.cpp +++ b/stereo/io/H5Reader.cpp @@ -1,6 +1,5 @@ #include "H5Reader.h" #include "util.h" -#include "gef_read.h" #include "khash.h" #include @@ -37,9 +36,9 @@ vector H5Reader::getExpData(vector & cell_inde hid_t attr; unsigned long long uniq_cell_id; - now = time(nullptr); - dt = ctime(&now); - printf("exp_len end = %s\n", dt); +// now = time(nullptr); +// dt = ctime(&now); +// printf("exp_len end = %s\n", dt); memtype = H5Tcreate(H5T_COMPOUND, sizeof(Gene)); m_status = H5Tinsert(memtype, "x", HOFFSET(Gene, x), H5T_NATIVE_UINT); @@ -50,9 +49,9 @@ vector H5Reader::getExpData(vector & cell_inde expData = (Gene*)malloc(exp_len * sizeof(Gene)); m_status = H5Dread(exp_dataset_id, memtype, H5S_ALL, H5S_ALL, H5P_DEFAULT, expData); - now = time(nullptr); - dt = ctime(&now); - printf("* H5Dread end = %s\n", dt); +// now = time(nullptr); +// dt = ctime(&now); +// printf("* H5Dread end = %s\n", dt); // map cells_map; unordered_map cells_map; @@ -93,10 +92,10 @@ vector H5Reader::getExpData(vector & cell_inde count.push_back(expData[i].cnt); } - now = time(nullptr); - dt = ctime(&now); - printf("index = %d\n", index); - printf("* cell_index end = %s\n", dt); +// now = time(nullptr); +// dt = ctime(&now); +// printf("index = %d\n", index); +// printf("* cell_index end = %s\n", dt); // Read attribute of raw data attr = H5Aopen(exp_dataset_id, "minX", H5P_DEFAULT); diff --git a/stereo/io/reader.py b/stereo/io/reader.py index 9efb0dfa..60c12ec0 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -332,7 +332,7 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None uniq_cells = gef.get_exp_data(rows, count) cell_num = len(uniq_cells) - + gef.get_gene_data(cols, uniq_genes) # uniq_cells # TODO position from uniq_cells From f13acbe896b30ce7d27ba8736b7f00872896db93 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Tue, 2 Nov 2021 11:22:59 +0800 Subject: [PATCH 19/61] revert --- stereo/io/gef.py | 71 ++++++++++++++++++++++++------------------------ 1 file changed, 36 insertions(+), 35 deletions(-) diff --git a/stereo/io/gef.py b/stereo/io/gef.py index 533c0476..faa46cc3 100644 --- a/stereo/io/gef.py +++ b/stereo/io/gef.py @@ -11,21 +11,14 @@ from ..core.stereo_exp_data import StereoExpData from ..log_manager import logger -from gef_read_cy import * - class GEF(object): def __init__(self, file_path: str, bin_size: int = 100, is_sparse: bool = True): self.file_path = file_path self.bin_size = bin_size self.is_sparse = is_sparse - self.df_gene = None self.df_exp = None - self.h5f = None - self.h5_exp = None - self.h5_gene = None - self.rows = None - self.cols = None + self.df_gene = None self.genes = None self.cells = None self.cell_num = 0 @@ -33,16 +26,15 @@ def __init__(self, file_path: str, bin_size: int = 100, is_sparse: bool = True): self._init() def _init(self): - # with h5py.File(self.file_path, mode='r') as h5f: - self.h5f = h5py.File(self.file_path, mode='r') - bin_tag = 'bin{}'.format(self.bin_size) - if bin_tag not in self.h5f['geneExp'].keys(): - raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) + with h5py.File(self.file_path, mode='r') as h5f: + bin_tag = 'bin{}'.format(self.bin_size) + if bin_tag not in h5f['geneExp'].keys(): + raise Exception('The bin size {} info is not in the GEF file'.format(self.bin_size)) - self.h5_exp = self.h5f['geneExp'][bin_tag]['expression'] - self.h5_gene = self.h5f['geneExp'][bin_tag]['gene'] - # self.df_gene = pd.DataFrame(h5gene['gene', 'offset', 'count']) - # self.df_exp = pd.DataFrame(self.h5_exp['x', 'y', 'count']) + h5exp = h5f['geneExp'][bin_tag]['expression'] + h5gene = h5f['geneExp'][bin_tag]['gene'] + self.df_gene = pd.DataFrame(h5gene['gene', 'offset', 'count']) + self.df_exp = pd.DataFrame(h5exp['x', 'y', 'count']) def build(self, gene_lst: list = None, region: list = None): if gene_lst is not None: @@ -50,19 +42,31 @@ def build(self, gene_lst: list = None, region: list = None): if region is not None: self._restrict_to_region(region) if gene_lst is None and region is None: - self.genes = self.h5_gene['gene'] + self.genes = self.df_gene['gene'].values self.gene_num = len(self.genes) - self.cols = np.zeros((self.h5_exp.shape[0],), dtype='uint32') - logger.info("gene_count_index start") - gene_count_index(self.h5_gene['count'], self.cols) - logger.info("gene_count_index end") - - logger.info("get_uniq_cell start0") - # self.rows = np.zeros((self.h5_exp.shape[0],), dtype='uint32') - logger.info("get_uniq_cell start") - self.cells = get_uniq_cell(self.h5_exp['x'], self.h5_exp['y'], self.rows) - logger.info("get_uniq_cell end") + cols = np.zeros((self.df_exp.shape[0],), dtype='uint32') + gene_index = 0 + exp_index = 0 + for count in self.df_gene['count']: + for i in range(count): + cols[exp_index] = gene_index + exp_index += 1 + gene_index += 1 + self.df_exp['gene_index'] = cols + + self.df_exp['cell_id'] = np.bitwise_or( + np.left_shift(self.df_exp['x'].astype('uint64'), 32), self.df_exp['y']) + self.cells = self.df_exp['cell_id'].unique() self.cell_num = len(self.cells) + rows = np.zeros((self.df_exp.shape[0],), dtype='uint32') + grp = self.df_exp.groupby('cell_id').groups + i = 0 + for cell_id in self.cells: + for j in grp[cell_id]: + rows[j] = i + i += 1 + self.df_exp['cell_index'] = rows + del grp gc.collect() def _restrict_to_region(self, region): @@ -107,13 +111,10 @@ def _restrict_to_genes(self, gene_lst): def to_stereo_exp_data(self) -> StereoExpData: data = StereoExpData(file_path=self.file_path) logger.info(f'the martrix has {self.cell_num} cells, and {self.gene_num} genes.') - # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values - exp_matrix = csr_matrix((self.h5_exp['count'], (self.rows, self.cols)), + data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values + exp_matrix = csr_matrix((self.df_exp['count'], (self.df_exp['cell_index'], self.df_exp['gene_index'])), shape=(self.cell_num, self.gene_num), dtype=np.int) - # data.cells = Cell(cell_name=self.cells) - # data.genes = Gene(gene_name=self.genes) + data.cells = Cell(cell_name=self.cells) + data.genes = Gene(gene_name=self.genes) data.exp_matrix = exp_matrix if self.is_sparse else exp_matrix.toarray() return data - - def close(self): - self.h5f.close() From 880fa125e2ed6e7414d710cafb46504ee79dd7ce Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Tue, 2 Nov 2021 11:23:21 +0800 Subject: [PATCH 20/61] add position --- stereo/io/H5Reader.cpp | 12 ++++-------- stereo/io/reader.py | 13 +++++-------- 2 files changed, 9 insertions(+), 16 deletions(-) diff --git a/stereo/io/H5Reader.cpp b/stereo/io/H5Reader.cpp index 7b28297f..3e2c1dc7 100644 --- a/stereo/io/H5Reader.cpp +++ b/stereo/io/H5Reader.cpp @@ -28,18 +28,14 @@ H5Reader::~H5Reader() vector H5Reader::getExpData(vector & cell_index, vector & count) { - time_t now = time(nullptr); - char* dt = ctime(&now); - printf("cpp_uniq_cell_index start = %s\n", dt); +// time_t now = time(nullptr); +// char* dt = ctime(&now); +// printf("cpp_uniq_cell_index start = %s\n", dt); hid_t memtype; hid_t attr; unsigned long long uniq_cell_id; -// now = time(nullptr); -// dt = ctime(&now); -// printf("exp_len end = %s\n", dt); - memtype = H5Tcreate(H5T_COMPOUND, sizeof(Gene)); m_status = H5Tinsert(memtype, "x", HOFFSET(Gene, x), H5T_NATIVE_UINT); m_status = H5Tinsert(memtype, "y", HOFFSET(Gene, y), H5T_NATIVE_UINT); @@ -54,7 +50,7 @@ vector H5Reader::getExpData(vector & cell_inde // printf("* H5Dread end = %s\n", dt); // map cells_map; - unordered_map cells_map; +// unordered_map cells_map; vector uniq_cells; unsigned int index = 0; diff --git a/stereo/io/reader.py b/stereo/io/reader.py index 60c12ec0..e56979cf 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -312,14 +312,14 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None :return: an object of StereoExpData. """ - if (gene_lst is not None or region is not None): + logger.info(f'read_gef begin ...') + if gene_lst is not None or region is not None: from stereo.io.gef import GEF gef = GEF(file_path=file_path, bin_size=bin_size, is_sparse=is_sparse) gef.build(gene_lst=gene_lst, region=region) data = gef.to_stereo_exp_data() else: from .gef_cy import GEF - logger.info(f'begin.') gef = GEF(file_path, bin_size) gene_num = gef.get_gene_num() exp_len = gef.get_exp_len() @@ -334,14 +334,11 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None cell_num = len(uniq_cells) gef.get_gene_data(cols, uniq_genes) - # uniq_cells - # TODO position from uniq_cells - # data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values - exp_matrix = csr_matrix((count, (rows, cols)), - shape=(cell_num, gene_num), dtype=np.uint32) + data.position = list(zip(np.right_shift(uniq_cells, 32), np.bitwise_and(uniq_cells, 0xffff))) + exp_matrix = csr_matrix((count, (rows, cols)), shape=(cell_num, gene_num), dtype=np.uint32) data.cells = Cell(cell_name=uniq_cells) data.genes = Gene(gene_name=uniq_genes) data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() - logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') + logger.info(f'read_gef end, the martrix has {cell_num} cells, and {gene_num} genes.') return data From 59aa2119c30c6dbe5a7172c8b179545063103e2e Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Tue, 2 Nov 2021 22:24:31 +0800 Subject: [PATCH 21/61] change vector to C array --- .gitignore | 1 + stereo/io/H5Reader.cpp | 19 +++++++++++-------- stereo/io/H5Reader.h | 6 +++--- stereo/io/gef_cy.pyx | 27 ++++++++++++++------------- stereo/io/reader.py | 13 ++++--------- 5 files changed, 33 insertions(+), 33 deletions(-) diff --git a/.gitignore b/.gitignore index 1c84fcda..44cff6a2 100644 --- a/.gitignore +++ b/.gitignore @@ -130,3 +130,4 @@ dmypy.json .pyre/ h5config.json +test_data/ diff --git a/stereo/io/H5Reader.cpp b/stereo/io/H5Reader.cpp index 3e2c1dc7..48b397c1 100644 --- a/stereo/io/H5Reader.cpp +++ b/stereo/io/H5Reader.cpp @@ -26,7 +26,7 @@ H5Reader::~H5Reader() H5Sclose(gene_dataspace_id); } -vector H5Reader::getExpData(vector & cell_index, vector & count) +vector H5Reader::getExpData(unsigned int * cell_index, unsigned int * count) { // time_t now = time(nullptr); // char* dt = ctime(&now); @@ -57,7 +57,6 @@ vector H5Reader::getExpData(vector & cell_inde int absent, is_missing; khint_t k; khash_t(m64) *h = kh_init(m64); // allocate a hash table - k = kh_put(m64, h, 5, &absent); // insert a key to the hash table for (int i = 0; i < exp_len; ++i) { uniq_cell_id = expData[i].x; @@ -66,9 +65,9 @@ vector H5Reader::getExpData(vector & cell_inde k = kh_get(m64, h, uniq_cell_id); is_missing = (k == kh_end(h)); if (!is_missing){ - cell_index.push_back(kh_value(h, k) ); + cell_index[i] = kh_value(h, k); }else { - cell_index.push_back(index); + cell_index[i] = index; uniq_cells.push_back(uniq_cell_id); k = kh_put(m64, h, uniq_cell_id, &absent); // insert a key to the hash table kh_value(h, k) = index; @@ -85,9 +84,10 @@ vector H5Reader::getExpData(vector & cell_inde // ++index; // } // - count.push_back(expData[i].cnt); + count[i] = expData[i].cnt; } + this->cell_num = index; // now = time(nullptr); // dt = ctime(&now); // printf("index = %d\n", index); @@ -114,7 +114,7 @@ vector H5Reader::getExpData(vector & cell_inde return uniq_cells; } -void H5Reader::getGeneData(vector & gene_index, vector & uniq_genes) +void H5Reader::getGeneData(unsigned int * gene_index, vector & uniq_genes) { hid_t memtype; hid_t strtype; @@ -133,17 +133,20 @@ void H5Reader::getGeneData(vector & gene_index, vector & uniq_genes m_status = H5Dread(gene_dataset_id, memtype, H5S_ALL, H5S_ALL, H5P_DEFAULT, idxData); // Write data line by line - for (int i = 0; i < gene_num; ++i) + unsigned long long exp_len_index = 0; + for (unsigned int i = 0; i < gene_num; ++i) { const char* gene = idxData[i].gene; uniq_genes.emplace_back(gene); unsigned int c = idxData[i].count; for (int j = 0; j < c; ++j) { - gene_index.push_back(i); + gene_index[exp_len_index++] = i; } } + assert(exp_len_index == exp_len); + if (idxData != nullptr) free(idxData); diff --git a/stereo/io/H5Reader.h b/stereo/io/H5Reader.h index 32d78432..ad02077f 100644 --- a/stereo/io/H5Reader.h +++ b/stereo/io/H5Reader.h @@ -16,15 +16,15 @@ class H5Reader ~H5Reader(); //expressions number int bin_size = 0; - unsigned int minX{}, minY{}, maxX{}, maxY{}, gene_num{}; + unsigned int minX{}, minY{}, maxX{}, maxY{}, gene_num{}, cell_num{}; unsigned long long exp_len = 0; unsigned long long getExpLen() const; unsigned int getGeneNum() const; - vector getExpData(vector &cell_index, vector &count); + vector getExpData(unsigned int * cell_index, unsigned int * count); - void getGeneData(vector &gene_index, vector &uniq_genes); + void getGeneData(unsigned int * gene_index, vector & uniq_genes); private: hid_t m_file_id; diff --git a/stereo/io/gef_cy.pyx b/stereo/io/gef_cy.pyx index e6e5c910..b511e1d3 100644 --- a/stereo/io/gef_cy.pyx +++ b/stereo/io/gef_cy.pyx @@ -3,11 +3,8 @@ # cython: language_level=3, boundscheck=False # cython: c_string_type=unicode, c_string_encoding=utf8 # Created by huangzhibo on 2021/10/22 - import numpy as np cimport numpy as np -cimport cython -import h5py from libcpp.vector cimport vector from libcpp.string cimport string @@ -16,15 +13,13 @@ cdef extern from "H5Reader.h": cdef cppclass H5Reader: H5Reader(const string&, int bin_size) except + unsigned long long exp_len - unsigned int minX, minY, maxX, maxY, gene_num + unsigned int minX, minY, maxX, maxY, gene_num, cell_num unsigned long long getExpLen() const unsigned int getGeneNum() const - vector[unsigned long long] getExpData(vector[unsigned int] & cell_index, - vector[unsigned int] & count) - - void getGeneData(vector[int] & gene_index, vector[string] & uniq_genes) + vector[unsigned long long] getExpData(unsigned int * cell_index, unsigned int * count) + void getGeneData(unsigned int * gene_index, vector[string] & uniq_genes) cdef class GEF: @@ -50,9 +45,11 @@ cdef class GEF: self.maxX = self.c_h5r.maxX self.maxY = self.c_h5r.maxY - def get_exp_data(self, cell_index, count): - cdef vector[unsigned long long] uniq_cell = self.c_h5r.getExpData(cell_index, count) - return uniq_cell + def get_exp_data(self): + cdef unsigned int[::1] cell_index = np.empty(self.exp_len, dtype=np.uint32) + cdef unsigned int[::1] count = np.empty(self.exp_len, dtype=np.uint32) + cdef vector[unsigned long long] uniq_cell = self.c_h5r.getExpData(&cell_index[0], &count[0]) + return np.asarray(uniq_cell), np.asarray(cell_index), np.asarray(count) def get_exp_len(self): return self.c_h5r.getExpLen() @@ -60,8 +57,12 @@ cdef class GEF: def get_gene_num(self): return self.c_h5r.getGeneNum() - def get_gene_data(self, gene_index, uniq_genes): - return self.c_h5r.getGeneData(gene_index, uniq_genes) + def get_gene_data(self): + cdef vector[string] uniq_genes + uniq_genes.reserve(self.gene_num) + cdef unsigned int[::1] gene_index = np.empty(self.exp_len, dtype=np.uint32) + self.c_h5r.getGeneData(&gene_index[0], uniq_genes) + return np.asarray(gene_index), np.asarray(uniq_genes) def __dealloc__(self): del self.c_h5r \ No newline at end of file diff --git a/stereo/io/reader.py b/stereo/io/reader.py index e56979cf..c1041fb7 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -322,19 +322,14 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None from .gef_cy import GEF gef = GEF(file_path, bin_size) gene_num = gef.get_gene_num() - exp_len = gef.get_exp_len() - rows = np.zeros((exp_len,), dtype='uint32') - cols = np.zeros((exp_len,), dtype='uint32') - count = np.zeros((exp_len,), dtype='uint32') - uniq_genes = np.array((gene_num,), dtype='str') - data = StereoExpData(file_path=file_path) - uniq_cells = gef.get_exp_data(rows, count) + uniq_cells, rows, count = gef.get_exp_data() cell_num = len(uniq_cells) - gef.get_gene_data(cols, uniq_genes) - data.position = list(zip(np.right_shift(uniq_cells, 32), np.bitwise_and(uniq_cells, 0xffff))) + cols, uniq_genes = gef.get_gene_data() + data.position = np.array(list( + (zip(np.right_shift(uniq_cells, 32), np.bitwise_and(uniq_cells, 0xffff))))).astype('uint32') exp_matrix = csr_matrix((count, (rows, cols)), shape=(cell_num, gene_num), dtype=np.uint32) data.cells = Cell(cell_name=uniq_cells) data.genes = Gene(gene_name=uniq_genes) From 5f2ad950104dab95ca10e6e966859fbe502e07e8 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Tue, 2 Nov 2021 22:43:00 +0800 Subject: [PATCH 22/61] update log --- stereo/io/reader.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/stereo/io/reader.py b/stereo/io/reader.py index c1041fb7..4613350f 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -326,7 +326,7 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None uniq_cells, rows, count = gef.get_exp_data() cell_num = len(uniq_cells) - + logger.info(f'the martrix has {cell_num} cells, and {gene_num} genes.') cols, uniq_genes = gef.get_gene_data() data.position = np.array(list( (zip(np.right_shift(uniq_cells, 32), np.bitwise_and(uniq_cells, 0xffff))))).astype('uint32') @@ -334,6 +334,6 @@ def read_gef(file_path: str, bin_size=100, is_sparse=True, gene_lst: list = None data.cells = Cell(cell_name=uniq_cells) data.genes = Gene(gene_name=uniq_genes) data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() - logger.info(f'read_gef end, the martrix has {cell_num} cells, and {gene_num} genes.') + logger.info(f'read_gef end.') return data From c8191b76b8d99ac6c823076277660f028728a25c Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Wed, 3 Nov 2021 14:31:24 +0800 Subject: [PATCH 23/61] add the contributing.rst for developing --- docs/source/contributing.rst | 126 +++++++++++++++++++++++++++++++++++ 1 file changed, 126 insertions(+) create mode 100644 docs/source/contributing.rst diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst new file mode 100644 index 00000000..25e67caf --- /dev/null +++ b/docs/source/contributing.rst @@ -0,0 +1,126 @@ +Contributing guide +~~~~~~~~~~~~~~~~~~ + +Contents +======== +- `Contributing code` +- `Code style` +- `Project structure` +- `Writing documentation` +- `Making a release` +- `Testing` + +Contributing code +----------------- +1. Clone the Stereopy source from github:: + git clone https://github.com/BGIResearch/stereopy.git +2. Create a new branch for your PR and checkout to the new branch:: + git checkout -b new_branch_name +3. Add the new feature or fit the bugs in your codebase. +4. After all tests passing, update the related documentation, such as release note, example and so on. +5. Make a Pull Requests back to the main branch. + +Code style +---------- +1. Coding requirements comply with pep8 specification. +2. The file naming adopts lowercase and underscore uniformly; the name of the class adopts the camel case naming method. + eg: file name: dim_reduce.py; class name: DimReduce +3. Variable naming should be in lower case and should be as meaningful as possible, avoiding unintentional naming. +4. The comment information should be perfect, and each file, function, and class should write its comment information. +We recommend using restructured Text as the docstring format of comment information. + +Project structure +----------------- +The stereopy project: + +- `stereo `_: the root of the package. + + - `stereo/core `_: the core code of stereo, which contains the base class and data structure of stereopy. + - `stereo/algorithm `_: the algorithm module, main analysis and implementation algorithms, which + deals with methodology realization. + - `stereo/image `_: the image module, which deals with the tissue image related analysis, such as cell + segmentation, etc. + - `stereo/io `_: the io module, which deals with the reading, writing and format conversion of different + data structure, between our StereoExpData and AnnData, etc. + - `stereo/plots `_: the plotting module, which contains all the plotting functions for visualization. + - `stereo/utils `_: Some common processing scripts. + - `stereo/utils `_: the Tests module, which contains all the test scripts. + +Writing documentation +--------------------- +We use Sphinx to auto-generate documentation in multiple formats. Sphinx is built of reStructured text and, when using +sphinx most of what you type is reStructured text. + +Installing Sphinx:: + pip install sphinx + + pio install sphinx_rtd_theme + + pip install recommonmark # surpport md + +Make a doc directory, and start sphinx:: + cd stereo + + mkdir docs + + # start sphinx + + sphinx-quickstart + +Modify the config file: + In doc/source directory is now a python file called conf.py. This is the file that controls the basics of how +sphinx runs when you run a build. For more information about the file, see the official +`Sphinx `_ document. + +Write the Tutorials/example what you need to update: + Tutorials and examples are hosted on a separate repository called +`Tutorials `_. + +Make and build html:: + make clean + + make html + + open index.html + +docstrings format +````````````````` +We use the reStructured text style for writing docstrings. If you’re unfamiliar with the reStructuredText (rst) format, +See the `link `_. + +Making a release +---------------- +This part is to tell developers how to publish stereopy to PyPi. + +Checking the environment:: + # First, install twine + pip install twine + + # make a build + python setup.py sdist bdist_wheel + + # check the build + twine check dist/* + +Making release:: + # Tag the version info + git tag {version} + + # Build distributions and wheel + python setup.py sdist bdist_wheel + + # Check whether the compilation result can be installed successfully + # eg: pip install dist/stereopy-{version}-py3-none-any.whl + + # push the tag to github + git push origin {version} + + # Upload wheel and code distribution to PyPi + twine upload dist/* + +After any release has been made, create a new release notes file for the next feature and bugfix release. + +Testing +------- +For each functional module, a corresponding test script should be created to ensure that the developed function +is normal. All our test files are unified in the `tests `_ directory. From bc7758881063e509e628492e0658e4e70e3aa985 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 3 Nov 2021 15:52:53 +0800 Subject: [PATCH 24/61] use seaborn plot scatter instead of matplotlib --- stereo/config.py | 23 ++- stereo/plots/__init__.py | 2 +- .../interact_plot/interactive_scatter.py | 11 +- stereo/plots/interact_plot/spatial_cluster.py | 20 +-- stereo/plots/plot_collection.py | 91 +++++++--- stereo/plots/scatter.py | 167 ++++++------------ stereo/plots/violin.py | 34 ++++ stereo/tools/cluster.py | 5 +- stereo/tools/cluster_new.py | 7 +- stereo/tools/clustering.py | 7 +- stereo/tools/dim_reduce.py | 11 +- 11 files changed, 200 insertions(+), 178 deletions(-) create mode 100644 stereo/plots/violin.py diff --git a/stereo/config.py b/stereo/config.py index c2b28f96..9146b310 100644 --- a/stereo/config.py +++ b/stereo/config.py @@ -11,6 +11,7 @@ import os from matplotlib import rcParams, rcParamsDefault import matplotlib.colors as mpl_colors +from colorcet import palette class StereoConfig(object): @@ -40,7 +41,6 @@ def __init__( @property def colormaps(self): - from colorcet import palette colormaps = {n: palette[n] for n in ['glasbey', 'glasbey_bw', 'glasbey_cool', 'glasbey_warm', 'glasbey_dark', 'glasbey_light', 'glasbey_category10', 'glasbey_hv']} colormaps['stereo_30'] = ["#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00", "#A65628", "#FFFF33", @@ -50,6 +50,27 @@ def colormaps(self): "#6A3D9A", "#B15928"] return colormaps + @property + def linear_colormaps(self): + colormaps = {n: palette[n] for n in ['rainbow', 'fire', 'bgy', 'bgyw', 'bmy', 'gray', 'kbc', 'CET_D4']} + stmap_colors = ['#0c3383', '#0a88ba', '#f2d338', '#f28f38', '#d91e1e'] + nodes = [0.0, 0.25, 0.50, 0.75, 1.0] + mycmap = mpl_colors.LinearSegmentedColormap.from_list("mycmap", list(zip(nodes, stmap_colors))) + color_list = [mpl_colors.rgb2hex(mycmap(i)) for i in range(mycmap.N)] + colormaps['stereo'] = color_list + return colormaps + + def linear_colors(self, colors): + if isinstance(colors, str): + if colors not in self.linear_colormaps: + raise ValueError(f'{colors} not in colormaps, color value range in {self.linear_colormaps.keys()}') + else: + return self.linear_colormaps[colors] + elif isinstance(colors, list): + return colors + else: + raise ValueError('colors should be str or list type') + def get_colors(self, colors, n=None): if isinstance(colors, str): if colors not in self.colormaps: diff --git a/stereo/plots/__init__.py b/stereo/plots/__init__.py index f55ef8a2..d72c50fb 100644 --- a/stereo/plots/__init__.py +++ b/stereo/plots/__init__.py @@ -9,7 +9,7 @@ # from .clustering import plot_spatial_cluster # from .dim_reduce import plot_dim_reduce from .qc import spatial_distribution, genes_count, violin_distribution -from .scatter import scatter +from .scatter import base_scatter from .marker_genes import marker_genes_text, marker_genes_heatmap from .plot_collection import PlotCollection from .interact_plot.spatial_cluster import interact_spatial_cluster diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index 25ecb370..4fda356c 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -17,17 +17,14 @@ import holoviews.operation.datashader as hd from stereo.log_manager import logger import copy -import matplotlib.colors as mcolors +from stereo.config import StereoConfig + +conf = StereoConfig() -colormaps = {n: palette[n] for n in ['rainbow', 'fire', 'bgy', 'bgyw', 'bmy', 'gray', 'kbc', 'CET_D4']} link = link_selections.instance() pn.param.ParamMethod.loading_indicator = True -stmap_colors = ['#0c3383', '#0a88ba', '#f2d338', '#f28f38', '#d91e1e'] -nodes = [0.0, 0.25, 0.50, 0.75, 1.0] -mycmap = mcolors.LinearSegmentedColormap.from_list("mycmap", list(zip(nodes, stmap_colors))) -color_list = [mcolors.rgb2hex(mycmap(i)) for i in range(mycmap.N)] -colormaps['stereo'] = color_list +colormaps = conf.linear_colormaps class InteractiveScatter: diff --git a/stereo/plots/interact_plot/spatial_cluster.py b/stereo/plots/interact_plot/spatial_cluster.py index 0e10583f..32a775ac 100644 --- a/stereo/plots/interact_plot/spatial_cluster.py +++ b/stereo/plots/interact_plot/spatial_cluster.py @@ -10,21 +10,22 @@ import colorcet as cc import numpy as np import panel as pn -from colorcet import palette +import collections from holoviews import opts from stereo.config import StereoConfig +from natsort import natsorted conf = StereoConfig() colormaps = conf.colormaps pn.param.ParamMethod.loading_indicator = True theme_default = 'stereo_30' -color_key = {} +color_key = collections.OrderedDict() def interact_spatial_cluster( df, - width=700, + width=500, height=500, ): """ @@ -44,11 +45,11 @@ def interact_spatial_cluster( pn.extension() hv.extension('bokeh') # default setting - dot_size_default = int(120000 / len(df)) + dot_size_default = 1 if len(df) > 20000 else int(100000 / len(df)) - bg_colorpicker = pn.widgets.ColorPicker(name='background color', value='#000000', width=200) + bg_colorpicker = pn.widgets.ColorPicker(name='background color', value='#ffffff', width=200) dot_slider = pn.widgets.IntSlider(name='dot size', value=dot_size_default, start=1, end=200, step=1, width=200) - cs = list(sorted(np.array(list(s for s in set(df['group']))))) + cs = natsorted(set(df['group'])) theme_select = pn.widgets.Select(name='color theme', options=list(colormaps.keys()), value=theme_default, width=200) cluster_select = pn.widgets.Select(name='cluster', options=cs, value=cs[0], width=100, loading=False) @@ -58,7 +59,7 @@ def interact_spatial_cluster( colormaps[theme_default] = conf.get_colors(theme_default, n=len(cs)) global color_key - color_key = {k: c for k, c in zip(cs, colormaps[theme_default][0:len(cs)])} + color_key = collections.OrderedDict({k: c for k, c in zip(cs, colormaps[theme_default][0:len(cs)])}) # print(color_key) # print(cs) ct_colorpicker = pn.widgets.ColorPicker(name='node color', value=color_key[cs[0]], width=70) @@ -69,7 +70,7 @@ def _df_plot(bg_color, dot_size, color_theme, cluster_color): global color_key cluster_name = cluster_select.value if color_theme != theme_default: - color_key = {k: c for k, c in zip(cs, colormaps[color_theme][0:len(cs)])} + color_key = collections.OrderedDict({k: c for k, c in zip(cs, colormaps[color_theme][0:len(cs)])}) cluster_select.value = cs[0] ct_colorpicker.value = color_key[cs[0]] else: @@ -92,8 +93,7 @@ def _df_plot(bg_color, dot_size, color_theme, cluster_color): return sfig.opts( hv.opts.Scatter( color=hv.dim('group').categorize(color_key) - ) - ) + )) coms = pn.Row( _df_plot, pn.Column( diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index ad85a5a4..ad301ea0 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -115,7 +115,9 @@ def genes_count( self, x=["total_counts", "total_counts"], y=["pct_counts_mt", "n_genes_by_counts"], - ncols=2 + ncols=2, + dot_size=None, + **kwargs ): """ quality control index distribution visualization @@ -123,24 +125,49 @@ def genes_count( :param x: list of x label :param y: list of y label :param ncols: number of cols + :param dot_size """ - from .qc import genes_count - - genes_count( - data=self.data, - x=x, - y=y, - ncols=ncols + import math + import matplotlib.pyplot as plt + from matplotlib import gridspec + x = [x] if isinstance(x, str) else x + y = [y] if isinstance(y, str) else y + + width = 20 + height = 10 + nrows = math.ceil(len(x) / ncols) + fig = plt.figure(figsize=(width, height)) + axs = gridspec.GridSpec( + nrows=nrows, + ncols=ncols, ) + for i, (xi, yi) in enumerate(zip(x, y)): + draw_data = np.c_[self.data.cells.get_property(xi), self.data.cells.get_property(yi)] + ax = fig.add_subplot(axs[i]) + base_scatter( + draw_data[:, 0], + draw_data[:, 1], + hue=[0 for i in range(len(draw_data[:, 1]))], + ax=ax, + palette=['#808080'], + x_label=xi, + y_label=yi, + dot_size=dot_size, + color_bar=False, + show_legend=False, + **kwargs + ) + # return fig def spatial_scatter( self, cells_key: list = ["total_counts", "n_genes_by_counts"], ncols=2, dot_size=None, - color_list=None, - invert_y=True + palette='stereo', + # invert_y=True, + **kwargs ): """ spatial distribution of total_counts and n_genes_by_counts @@ -148,19 +175,24 @@ def spatial_scatter( :param cells_key: specified obs key list, for example: ["total_counts", "n_genes_by_counts"] :param ncols: numbr of plot columns. :param dot_size: marker size. - :param color_list: Color list. - :param invert_y: whether to invert y-axis. + :param palette: Color theme. + # :param invert_y: whether to invert y-axis. """ - from .qc import spatial_distribution - - spatial_distribution( - self.data, - cells_key=cells_key, + from .scatter import multi_scatter + + multi_scatter( + x=self.data.position[:, 0], + y=self.data.position[:, 1], + hue=[self.data.cells.get_property(key) for key in cells_key], + x_label=['spatial1', 'spatial1'], + y_label=['spatial2', 'spatial2'], + title=[' '.join(i.split('_')) for i in cells_key], ncols=ncols, dot_size=dot_size, - color_list=color_list, - invert_y=invert_y + palette=palette, + color_bar=True, + **kwargs ) def violin(self): @@ -169,7 +201,7 @@ def violin(self): :return: """ - from .qc import violin_distribution + from .violin import violin_distribution violin_distribution(self.data) def interact_spatial_scatter( @@ -203,7 +235,7 @@ def umap( x_label: Optional[Union[str, list]] = 'umap1', y_label: Optional[Union[str, list]] = 'umap2', dot_size: int = None, - colors: Optional[Union[str, list]] = 'stereo_30', + colors: Optional[Union[str, list]] = 'stereo', **kwargs ): """ @@ -227,10 +259,11 @@ def umap( return base_scatter( res.values[:, 0], res.values[:, 1], - color_values=np.array(cluster_res['group']), - color_list=conf.get_colors(colors, n), + hue=np.array(cluster_res['group']), + palette=conf.get_colors('stereo_30' if colors == 'stereo' else colors, n), title=cluster_key if title is None else title, x_label=x_label, y_label=y_label, dot_size=dot_size, + color_bar=False, **kwargs) else: if gene_names is None: @@ -239,8 +272,8 @@ def umap( return multi_scatter( res.values[:, 0], res.values[:, 1], - color_values=np.array(self.data.sub_by_name(gene_name=gene_names).exp_matrix).T, - color_list=colors, + hue=np.array(self.data.sub_by_name(gene_name=gene_names).exp_matrix).T, + palette=colors, title=gene_names if title is None else title, x_label=[x_label for i in range(len(gene_names))], y_label=[y_label for i in range(len(gene_names))], @@ -252,8 +285,8 @@ def umap( return base_scatter( res.values[:, 0], res.values[:, 1], - color_values=np.array(self.data.sub_by_name(gene_name=gene_names).exp_matrix[:, 0]), - color_list=colors, + hue=np.array(self.data.sub_by_name(gene_name=gene_names).exp_matrix[:, 0]), + palette=colors, title=title, x_label=x_label, y_label=y_label, dot_size=dot_size, color_bar=True, **kwargs @@ -287,8 +320,8 @@ def cluster_scatter( ax = base_scatter( self.data.position[:, 0], self.data.position[:, 1], - color_values=np.array(res['group']), - color_list=conf.get_colors(colors, n=n), + hue=np.array(res['group']), + palette=conf.get_colors(colors, n=n), title=title, x_label=x_label, y_label=y_label, dot_size=dot_size, invert_y=invert_y, **kwargs ) diff --git a/stereo/plots/scatter.py b/stereo/plots/scatter.py index 13d3a871..c004234d 100644 --- a/stereo/plots/scatter.py +++ b/stereo/plots/scatter.py @@ -15,33 +15,28 @@ from matplotlib import gridspec import numpy as np import pandas as pd -from ._plot_basic.scatter_plt import scatter from typing import Optional, Union import seaborn as sns +from ..config import StereoConfig - -colors = ['violet', 'turquoise', 'tomato', 'teal', 'tan', 'silver', 'sienna', 'red', 'purple', 'plum', 'pink', - 'orchid', 'orangered', 'orange', 'olive', 'navy', 'maroon', 'magenta', 'lime', - 'lightgreen', 'lightblue', 'lavender', 'khaki', 'indigo', 'grey', 'green', 'gold', 'fuchsia', - 'darkgreen', 'darkblue', 'cyan', 'crimson', 'coral', 'chocolate', 'chartreuse', 'brown', 'blue', 'black', - 'beige', 'azure', 'aquamarine', 'aqua', - ] +conf = StereoConfig() def base_scatter( x: Optional[Union[np.ndarray, list]], y: Optional[Union[np.ndarray, list]], - color_values: Optional[Union[np.ndarray, list]] = None, + hue: Optional[Union[np.ndarray, list]] = None, ax=None, title: str = None, x_label: str = None, y_label: str = None, color_bar: bool = False, - plot_cluster: list = None, bad_color: str = "lightgrey", dot_size: int = None, - color_list: Optional[Union[np.ndarray, list]] = None, - invert_y: bool = False + palette: Optional[Union[str, list]] = 'stereo', + invert_y: bool = True, + legend_ncol=2, + show_legend=True, ): # scatter plot, 聚类后表达矩阵空间分布 """ scatter plotter @@ -49,123 +44,69 @@ def base_scatter( :param invert_y: whether to invert y-axis. :param x: x position values :param y: y position values - :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] + :param hue: each dot's values, use for color set, eg. ['1', '3', '1', '2'] :param ax: matplotlib Axes object :param title: figure title :param x_label: x label :param y_label: y label :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True - :param plot_cluster: the name list of clusters to show. :param bad_color: the name list of clusters to show. :param dot_size: marker size. - :param color_list: customized colors - :return: matplotlib Axes object - - Example: - ------- - - >>> color_values = np.array(['g1', 'g3', 'g1', 'g2', 'g1']) - >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=color_values) + :param palette: customized colors + :param legend_ncol: number of legend columns - OR - - >>> base_scatter(np.array([2, 4, 5, 7, 9]), np.array([3, 4, 5, 6, 7]), color_values=np.array([0, 2, 3, 1, 1], color_bar=True) + :return: matplotlib Axes object color_values must be int array or list when color_bar is True """ - if len(color_values) != len(x): - raise ValueError(f'color values should have the same length with x, y') - if dot_size is None: - dot_size = 120000 / len(color_values) - if ax is None: - fig, ax = plt.subplots(figsize=(10, 8)) - if color_list is None: - cmap = get_cmap() - color_list = cmap.colors + if not ax: + _, ax = plt.subplots(figsize=(7, 7)) + dot_size = 120000 / len(hue) if dot_size is None else dot_size + # add a color bar + if color_bar: + colors = conf.linear_colors(palette) + cmap = ListedColormap(colors) + cmap.set_bad(bad_color) + sns.scatterplot(x=x, y=y, hue=hue, ax=ax, palette=cmap, size=hue, sizes=(dot_size, dot_size)) + ax.legend_.remove() + norm = plt.Normalize(hue.min(), hue.max()) + sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm) + sm.set_array([]) + ax.figure.colorbar(sm) else: - color_list = list(color_list) - cmap = ListedColormap(color_list) - cmap.set_bad(bad_color) - # 把特定值改为 np.nan 之后，可以利用 cmap.set_bad("white") 来遮盖掉这部分数据 - - spatial_data = np.array([x, y]).T - - group_category = pd.DataFrame(color_values)[0].astype(str).astype('category').values - order = np.argsort(~pd.isnull(group_category), kind="stable") - color_data = group_category[order] - spatial_data = spatial_data[order, :] - - index2cate = {i: str(n) for n, i in enumerate(list(color_data.categories))} - if not color_bar: - color_data = color_data.map(index2cate) - has_na = False - if plot_cluster is None: - plot_cluster = list(color_data.categories) - cluster_n = len(np.unique(color_data)) - if len(color_list) < cluster_n: - color_list = color_list * cluster_n - cmap = ListedColormap(color_list) - cmap.set_bad(bad_color) - if len(color_data.categories) > len(plot_cluster): - color_data = color_data.replace(color_data.categories.difference(plot_cluster), np.nan) - has_na = True - color_dict = {str(k): to_hex(v) for k, v in enumerate(color_list)} - color_data = color_data.map(color_dict) - - if pd.api.types.is_categorical_dtype(color_data): - color_data = pd.Categorical(color_data) - if has_na: - color_data = color_data.add_categories([to_hex(bad_color)]) - color_data = color_data.fillna(to_hex(bad_color)) + from natsort import natsorted + import collections + g = natsorted(set(hue)) + colors = conf.get_colors(palette) + color_dict = collections.OrderedDict(dict([(g[i], colors[i]) for i in range(len(g))])) + sns.scatterplot(x=x, y=y, hue=hue, hue_order=g, + palette=color_dict, size=hue, sizes=(dot_size, dot_size), ax=ax) + handles, labels = ax.get_legend_handles_labels() + ax.legend_.remove() + ax.legend(handles, labels, ncol=legend_ncol, bbox_to_anchor=(1.02, 1), + loc='upper left', borderaxespad=0, frameon=False) + for lh in ax.legend_.legendHandles: + lh.set_alpha(1) + lh._sizes = [40] + if invert_y: + ax.invert_yaxis() + if not show_legend: + ax.legend_.remove() - # color_data 是图像中各个点的值，也对应了每个点的颜色。data_points则对应了各个点的坐标 ax.set_aspect('equal', adjustable='datalim') - ax.set_title(title, fontsize=18) + ax.set_title(title, fontsize=18, fontweight='bold') + ax.set_ylabel(y_label, fontsize=15) # 设置y轴标签 + ax.set_xlabel(x_label, fontsize=15) # 设置x轴标签 ax.set_yticks([]) ax.set_xticks([]) - ax.set_xlabel(x_label, fontsize=15) - ax.set_ylabel(y_label, fontsize=15) - path_collection = scatter( - spatial_data[:, 0], - spatial_data[:, 1], - ax=ax, - marker=".", - dot_colors=color_values if color_bar else color_data, - dot_size=dot_size - ) - if not color_bar: - box = ax.get_position() - ax.set_position([box.x0, box.y0, box.width * 0.96, box.height]) - # -------------modified by qiuping1@genomics.cn------------- - # valid_cate = color_data.categories - # cat_num = len(adata.obs_vector(key).categories) - # for label in adata.obs_vector(key).categories: - categories = group_category.categories - cat_num = len(categories) - for label in categories: - # --------modified end------------------ - ax.scatter([], [], c=color_dict[index2cate[label]], label=label) - ax.legend( - frameon=False, - loc='center left', - bbox_to_anchor=(1, 0.5), - ncol=(1 if cat_num <= 14 else 2 if cat_num <= 30 else 3), - # fontsize=legend_fontsize, - ) - else: - plt.colorbar(path_collection, ax=ax, pad=0.01, fraction=0.08, aspect=30) - ax.autoscale_view() - if invert_y: - ax.invert_yaxis() return ax - # plt.show() def multi_scatter( x, y, - color_values: Union[np.ndarray] = None, + hue: Union[np.ndarray, list] = None, ncols: int = 2, title: Union[list, np.ndarray] = None, x_label: Union[list, np.ndarray] = None, @@ -173,14 +114,14 @@ def multi_scatter( color_bar: bool = False, bad_color: str = "lightgrey", dot_size: int = None, - color_list: Optional[Union[np.ndarray, list]] = None, + palette: Optional[Union[np.ndarray, list, str]] = 'stereo', ): """ plot multiple scatters :param x: x position values :param y: y position values - :param color_values: each dot's values, use for color set, eg. ['1', '3', '1', '2'] + :param hue: each dot's values, use for color set, eg. ['1', '3', '1', '2'] :param ncols number of figure columns :param title: figure title :param x_label: x label @@ -188,13 +129,13 @@ def multi_scatter( :param color_bar: show color bar or not, color_values must be int array or list when color_bar is True :param bad_color: the name list of clusters to show. :param dot_size: marker size. - :param color_list: customized colors + :param palette: customized colors :return: matplotlib Axes object """ - ncols = min(ncols, len(color_values)) - nrows = np.ceil(len(color_values) / ncols).astype(int) + ncols = min(ncols, len(hue)) + nrows = np.ceil(len(hue) / ncols).astype(int) # each panel will have the size of rcParams['figure.figsize'] fig = plt.figure(figsize=(ncols * 10, nrows * 8)) left = 0.2 / ncols @@ -209,7 +150,7 @@ def multi_scatter( # hspace=hspace, # wspace=wspace, ) - for i, cv in enumerate(color_values): + for i, cv in enumerate(hue): ax = fig.add_subplot(axs[i]) # ax = plt.subplot(axs[i]) || ax = fig.add_subplot(axs[1, 1])) base_scatter(x, y, cv, ax=ax, @@ -219,7 +160,7 @@ def multi_scatter( color_bar=color_bar, bad_color=bad_color, dot_size=dot_size, - color_list=color_list + palette=palette ) return fig diff --git a/stereo/plots/violin.py b/stereo/plots/violin.py new file mode 100644 index 00000000..c09dbe34 --- /dev/null +++ b/stereo/plots/violin.py @@ -0,0 +1,34 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +@author: Ping Qiu qiuping1@genomics.cn +@last modified by: Ping Qiu +@file:violin.py +@time:2021/11/02 +""" +import matplotlib.pyplot as plt +import seaborn + + +def violin_distribution(data): # 小提琴统计图 + """ + violin plot showing quality control index distribution + + :param data: StereoExpData object. + + :return: None + """ + _, axs = plt.subplots(1, 3, figsize=(18, 4)) + # plt.ylabel("total_counts") + seaborn.violinplot(y=data.cells.get_property('total_counts'), ax=axs[0]) + # plt.ylabel("n_genes_by_counts") + seaborn.violinplot(y=data.cells.get_property('n_genes_by_counts'), ax=axs[1]) + # plt.ylabel("pct_counts_mt") + seaborn.violinplot(y=data.cells.get_property('pct_counts_mt'), ax=axs[2]) + axs[0].set_ylabel('total_counts', fontsize=15) + axs[1].set_ylabel('n_genes_by_counts', fontsize=15) + axs[2].set_ylabel('pct_counts_mt', fontsize=15) + + +def save_fig(output): + plt.savefig(output, bbox_inches="tight") diff --git a/stereo/tools/cluster.py b/stereo/tools/cluster.py index a77fe727..c21431bc 100644 --- a/stereo/tools/cluster.py +++ b/stereo/tools/cluster.py @@ -195,10 +195,9 @@ def plot_scatter(self, plot_dim_reduce=False, file_path=None): """ if plot_dim_reduce: base_scatter(self.pca_x.values[:, 0], self.pca_x.values[:, 1], - color_values=np.array(self.result['cluster']), color_list=cc.glasbey) + hue=np.array(self.result['cluster'])) else: base_scatter(self.data.position[:, 0], self.data.position[:, 1], - color_values=np.array(self.result['cluster']), - color_list=cc.glasbey) + hue=np.array(self.result['cluster'])) if file_path: plt.savefig(file_path) diff --git a/stereo/tools/cluster_new.py b/stereo/tools/cluster_new.py index d760af28..845aff61 100644 --- a/stereo/tools/cluster_new.py +++ b/stereo/tools/cluster_new.py @@ -18,7 +18,7 @@ from .dim_reduce import DimReduce import pandas as pd from typing import Optional, Type -from ..plots.scatter import base_scatter, plt, colors +from ..plots.scatter import base_scatter, plt from natsort import natsorted from sklearn.metrics import pairwise_distances from typing import Any, Mapping @@ -224,10 +224,9 @@ def plot_scatter(self, plot_dim_reduce=False, file_path=None): """ if plot_dim_reduce: base_scatter(self.pca_x.values[:, 0], self.pca_x.values[:, 1], - color_values=np.array(self.result.matrix['cluster']), color_list=colors) + hue=np.array(self.result.matrix['cluster'])) else: base_scatter(self.data.position[:, 0], self.data.position[:, 1], - color_values=np.array(self.result.matrix['cluster']), - color_list=colors) + hue=np.array(self.result.matrix['cluster'])) if file_path: plt.savefig(file_path) diff --git a/stereo/tools/clustering.py b/stereo/tools/clustering.py index 8b57dfb3..31a8947b 100644 --- a/stereo/tools/clustering.py +++ b/stereo/tools/clustering.py @@ -19,7 +19,7 @@ from .dim_reduce import DimReduce import pandas as pd from typing import Optional -from ..plots.scatter import base_scatter, plt, colors +from ..plots.scatter import base_scatter, plt import colorcet as cc @@ -192,10 +192,9 @@ def plot_scatter(self, plot_dim_reduce=False, file_path=None): """ if plot_dim_reduce: base_scatter(self.pca_x.matrix.values[:, 0], self.pca_x.matrix.values[:, 1], - color_values=np.array(self.result.matrix['cluster']), color_list=cc.glasbey) + hue=np.array(self.result.matrix['cluster'])) else: base_scatter(self.data.position[:, 0], self.data.position[:, 1], - color_values=np.array(self.result.matrix['cluster']), - color_list=cc.glasbey) + hue=np.array(self.result.matrix['cluster'])) if file_path: plt.savefig(file_path) diff --git a/stereo/tools/dim_reduce.py b/stereo/tools/dim_reduce.py index b22213a3..a0fd40ae 100644 --- a/stereo/tools/dim_reduce.py +++ b/stereo/tools/dim_reduce.py @@ -16,7 +16,7 @@ # from stereo.log_manager import logger from stereo.core.tool_base import ToolBase from ..algorithm.dim_reduce import low_variance, factor_analysis, pca, t_sne, u_map -from ..plots.scatter import plt, base_scatter, colors, multi_scatter +from ..plots.scatter import plt, base_scatter, multi_scatter import numpy as np from typing import Optional @@ -187,13 +187,12 @@ def plot_scatter(self, self.data.sparse2array() if len(gene_name) > 1: multi_scatter(self.result.matrix.values[:, 0], self.result.matrix.values[:, 1], - color_values=np.array(self.data.sub_by_name(gene_name=gene_name).exp_matrix).T, - color_list=colors, color_bar=True - ) + hue=np.array(self.data.sub_by_name(gene_name=gene_name).exp_matrix).T, + color_bar=True) else: base_scatter(self.result.matrix.values[:, 0], self.result.matrix.values[:, 1], - color_values=np.array(self.data.sub_by_name(gene_name=gene_name).exp_matrix[:, 0]), - color_list=colors, color_bar=True) + hue=np.array(self.data.sub_by_name(gene_name=gene_name).exp_matrix[:, 0]), + color_bar=True) if file_path: plt.savefig(file_path) From b1e6424a7f881e74336fc9bd63d232b03ed7a40e Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 3 Nov 2021 16:40:32 +0800 Subject: [PATCH 25/61] remove file scatter_plt and plot/qc --- stereo/plots/__init__.py | 2 +- stereo/plots/_plot_basic/scatter_plt.py | 64 -------- stereo/plots/qc.py | 190 ------------------------ 3 files changed, 1 insertion(+), 255 deletions(-) delete mode 100644 stereo/plots/_plot_basic/scatter_plt.py delete mode 100644 stereo/plots/qc.py diff --git a/stereo/plots/__init__.py b/stereo/plots/__init__.py index d72c50fb..b51e2c79 100644 --- a/stereo/plots/__init__.py +++ b/stereo/plots/__init__.py @@ -8,7 +8,7 @@ """ # from .clustering import plot_spatial_cluster # from .dim_reduce import plot_dim_reduce -from .qc import spatial_distribution, genes_count, violin_distribution +# from .qc import spatial_distribution, genes_count, violin_distribution from .scatter import base_scatter from .marker_genes import marker_genes_text, marker_genes_heatmap from .plot_collection import PlotCollection diff --git a/stereo/plots/_plot_basic/scatter_plt.py b/stereo/plots/_plot_basic/scatter_plt.py deleted file mode 100644 index 22c53f41..00000000 --- a/stereo/plots/_plot_basic/scatter_plt.py +++ /dev/null @@ -1,64 +0,0 @@ -#!/usr/bin/env python3 -# coding: utf-8 -""" -@author: Shixu He heshixu@genomics.cn -@last modified by: Shixu He -@file:scatter_plt.py -@time:2021/03/15 - -change log: - 2021/04/02 14:07 modified by qiuping, change the way of getting plot data of plot_cluster_result, - and remove it to ..marker_genes.py. -""" -from matplotlib.cm import get_cmap -from matplotlib.axes import Axes -import matplotlib.pyplot as plt -from ...log_manager import logger - - -def scatter( - x: list, - y: list, - ax: Axes = None, - dot_colors=None, - marker=".", - dot_size=1, - cmap=None, - plotnonfinite=True, - **kwargs -): - """ - Simplified scatter plot function, which wraps matplotlib.axes.Axes.scatter . - :param x: Data position list. - :param y: Data position list. - :param ax: plot axes. - :param dot_colors: list of colors. - :param marker: marker type. - :param dot_size: marker size. - :param cmap: Color map. - :param plotnonfinite: whether to plot bad point. - :return: plot axes. - """ - - if len(x) <= 0 or len(y) <= 0: - logger.warning("x position or y position has no data.") - if dot_colors is None: - dot_colors = ["gray"] - if isinstance(dot_colors, str): - dot_colors = [dot_colors] - if ax is None: - fig = plt.figure() - ax = fig.add_subplot(111) - if cmap is None: - cmap = get_cmap() - pathcollection = ax.scatter( - x, y, - c=dot_colors, - marker=marker, - s=dot_size, - cmap=cmap, - plotnonfinite=plotnonfinite, - **kwargs, - ) - - return pathcollection diff --git a/stereo/plots/qc.py b/stereo/plots/qc.py deleted file mode 100644 index c734fcd9..00000000 --- a/stereo/plots/qc.py +++ /dev/null @@ -1,190 +0,0 @@ -#!/usr/bin/env python3 -# coding: utf-8 -""" -@author: Ping Qiu qiuping1@genomics.cn -@last modified by: Ping Qiu -@file:qc.py -@time:2021/04/13 -""" -from matplotlib.cm import get_cmap -import matplotlib.pyplot as plt -from matplotlib.colors import ListedColormap -from matplotlib import gridspec -import numpy as np -import pandas as pd -import math -from ._plot_basic.scatter_plt import scatter -import seaborn -from ..core.stereo_exp_data import StereoExpData - - -def genes_count( - data: StereoExpData, - x=["total_counts", "total_counts"], - y=["pct_counts_mt", "n_genes_by_counts"], - ncols=2, - **kwargs): # scatter plot, 线粒体分布图 - """ - quality control index distribution visualization - - :param data: StereoExpData object. - :param x: obs key pairs for drawing. For example, assume x=["a", "a", "b"], the output plots will \include "a-c", "a-d", "b-e". - :param y: obs key pairs for drawing. For example, assume y=["c", "d", "e"]. - :param ncols: the columns of figures. the output plots will include "a-c", "a-d", "b-e". - :return: None - - Example: - - .. code:: python - - spatial_cluster(data = data) - - """ - if isinstance(x, str): - x = [x] - if isinstance(y, str): - y = [y] - - width = 20 - height = 10 - nrows = math.ceil(len(x) / ncols) - - doc_color = "gray" - - fig = plt.figure(figsize=(width, height)) - axs = gridspec.GridSpec( - nrows=nrows, - ncols=ncols, - ) - for i, (xi, yi) in enumerate(zip(x, y)): - draw_data = np.c_[data.cells.get_property(xi), data.cells.get_property(yi)] - dot_size = 120000 / draw_data.shape[0] - ax = fig.add_subplot(axs[i]) - # ax.set_title() - # ax.set_yticks([]) - # ax.set_xticks([]) - ax.set_xlabel(xi, fontsize=15) - ax.set_ylabel(yi, fontsize=15) - scatter( - draw_data[:, 0], - draw_data[:, 1], - ax=ax, - marker=".", - dot_colors=doc_color, - dot_size=dot_size - ) - - -def spatial_distribution( - data: StereoExpData, - cells_key: list = ["total_counts", "n_genes_by_counts"], - ncols=2, - dot_size=None, - color_list=None, - invert_y=True -): # scatter plot, 表达矩阵空间分布 - """ - spatial distribution. - - :param data: StereoExpData object. - :param cells_key: specified obs key list, for example: ["total_counts", "n_genes_by_counts"] - :param ncols: numbr of plot columns. - :param dot_size: marker size. - :param color_list: Color list. - :param invert_y: whether to invert y-axis. - :return: None - - Example: - - .. code:: python - - spatial_distribution(data=data) - - """ - # sc.pl.embedding(adata, basis="spatial", color=["total_counts", "n_genes_by_counts"],size=30) - - if dot_size is None: - dot_size = 120000 / data.exp_matrix.shape[0] - - ncols = min(ncols, len(cells_key)) - nrows = np.ceil(len(cells_key) / ncols).astype(int) - # each panel will have the size of rcParams['figure.figsize'] - fig = plt.figure(figsize=(ncols * 8, nrows * 10)) - left = 0.2 / ncols - bottom = 0.13 / nrows - axs = gridspec.GridSpec( - nrows=nrows, - ncols=ncols, - left=left, - right=1 - (ncols - 1) * left - 0.01 / ncols, - bottom=bottom, - top=1 - (nrows - 1) * bottom - 0.1 / nrows, - # hspace=hspace, - # wspace=wspace, - ) - - if color_list is None: - cmap = get_cmap() - else: - cmap = ListedColormap(color_list) - # 把特定值改为 np.nan 之后，可以利用 cmap.set_bad("white") 来遮盖掉这部分数据 - - # 散点图上每个点的坐标数据来自于 adata 的 obsm["spatial"]，每个点的颜色（数值）数据来自于 adata 的 obs_vector() - for i, key in enumerate(cells_key): - # color_data = np.asarray(adata.obs_vector(key), dtype=float) - color_data = data.cells.get_property(key) - order = np.argsort(~pd.isnull(color_data), kind="stable") - spatial_data = data.position[:, 0: 2] - color_data = color_data[order] - spatial_data = spatial_data[order, :] - - # color_data 是图像中各个点的值，也对应了每个点的颜色。data_points则对应了各个点的坐标 - ax = fig.add_subplot(axs[i]) # ax = plt.subplot(axs[i]) || ax = fig.add_subplot(axs[1, 1])) - ax.set_aspect('equal', adjustable='datalim') - ax.set_title(key, fontsize=18) - ax.set_yticks([]) - ax.set_xticks([]) - ax.set_xlabel("spatial1", fontsize=15) - ax.set_ylabel("spatial2", fontsize=15) - pathcollection = scatter( - spatial_data[:, 0], - spatial_data[:, 1], - ax=ax, - marker=".", - dot_colors=color_data, - dot_size=dot_size, - cmap=cmap, - ) - plt.colorbar( - pathcollection, - ax=ax, - pad=0.01, - fraction=0.08, - aspect=30, - ) - ax.autoscale_view() - if invert_y: - ax.invert_yaxis() - - -def violin_distribution(data): # 小提琴统计图 - """ - violin plot showing quality control index distribution - - :param data: StereoExpData object. - - :return: None - """ - _, axs = plt.subplots(1, 3, figsize=(18, 4)) - #plt.ylabel("total_counts") - seaborn.violinplot(y=data.cells.get_property('total_counts'), ax=axs[0]) - #plt.ylabel("n_genes_by_counts") - seaborn.violinplot(y=data.cells.get_property('n_genes_by_counts'), ax=axs[1]) - #plt.ylabel("pct_counts_mt") - seaborn.violinplot(y=data.cells.get_property('pct_counts_mt'), ax=axs[2]) - axs[0].set_ylabel('total_counts', fontsize=15) - axs[1].set_ylabel('n_genes_by_counts', fontsize=15) - axs[2].set_ylabel('pct_counts_mt', fontsize=15) - -def save_fig(output): - plt.savefig(output, bbox_inches="tight") From 2d3f0d93a2b887da94187b3ee51fd06f3910e4ee Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 3 Nov 2021 17:27:23 +0800 Subject: [PATCH 26/61] genes_count plot debug --- stereo/plots/plot_collection.py | 2 ++ stereo/plots/scatter.py | 11 ++++++++--- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index ad301ea0..59c04db3 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -156,6 +156,8 @@ def genes_count( dot_size=dot_size, color_bar=False, show_legend=False, + invert_y=False, + show_ticks=True, **kwargs ) # return fig diff --git a/stereo/plots/scatter.py b/stereo/plots/scatter.py index c004234d..63494018 100644 --- a/stereo/plots/scatter.py +++ b/stereo/plots/scatter.py @@ -37,6 +37,7 @@ def base_scatter( invert_y: bool = True, legend_ncol=2, show_legend=True, + show_ticks=False, ): # scatter plot, 聚类后表达矩阵空间分布 """ scatter plotter @@ -54,6 +55,8 @@ def base_scatter( :param dot_size: marker size. :param palette: customized colors :param legend_ncol: number of legend columns + :param show_legend + :param show_ticks :return: matplotlib Axes object @@ -94,12 +97,14 @@ def base_scatter( if not show_legend: ax.legend_.remove() - ax.set_aspect('equal', adjustable='datalim') + if not show_ticks: + ax.set_aspect('equal', adjustable='datalim') ax.set_title(title, fontsize=18, fontweight='bold') ax.set_ylabel(y_label, fontsize=15) # 设置y轴标签 ax.set_xlabel(x_label, fontsize=15) # 设置x轴标签 - ax.set_yticks([]) - ax.set_xticks([]) + if not show_ticks: + ax.set_yticks([]) + ax.set_xticks([]) return ax From e3ba516324619e03cdeb4e13d7ffe90ef1e4fce8 Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Wed, 3 Nov 2021 17:35:26 +0800 Subject: [PATCH 27/61] update the contributing.rst for some question --- docs/source/contributing.rst | 32 +++++++++++++++++++------------- 1 file changed, 19 insertions(+), 13 deletions(-) diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst index 25e67caf..edc46038 100644 --- a/docs/source/contributing.rst +++ b/docs/source/contributing.rst @@ -3,28 +3,32 @@ Contributing guide Contents ======== -- `Contributing code` -- `Code style` -- `Project structure` -- `Writing documentation` -- `Making a release` -- `Testing` +- `Contributing code`_ +- `Code style`_ +- `Project structure`_ +- `Writing documentation`_ +- `Making a release`_ +- `Testing`_ Contributing code ----------------- 1. Clone the Stereopy source from github:: git clone https://github.com/BGIResearch/stereopy.git 2. Create a new branch for your PR and checkout to the new branch:: + git checkout -b new_branch_name + 3. Add the new feature or fit the bugs in your codebase. 4. After all tests passing, update the related documentation, such as release note, example and so on. -5. Make a Pull Requests back to the main branch. +5. Make a Pull Requests back to the dev branch, We will review the submitted code, and the merge to the main branch after there is no problem. Code style ---------- 1. Coding requirements comply with pep8 specification. 2. The file naming adopts lowercase and underscore uniformly; the name of the class adopts the camel case naming method. + eg: file name: dim_reduce.py; class name: DimReduce + 3. Variable naming should be in lower case and should be as meaningful as possible, avoiding unintentional naming. 4. The comment information should be perfect, and each file, function, and class should write its comment information. We recommend using restructured Text as the docstring format of comment information. @@ -44,7 +48,7 @@ The stereopy project: data structure, between our StereoExpData and AnnData, etc. - `stereo/plots `_: the plotting module, which contains all the plotting functions for visualization. - `stereo/utils `_: Some common processing scripts. - - `stereo/utils `_: the Tests module, which contains all the test scripts. + - `stereo/tests `_: the Tests module, which contains all the test scripts. Writing documentation --------------------- @@ -52,6 +56,7 @@ We use Sphinx to auto-generate documentation in multiple formats. Sphinx is buil sphinx most of what you type is reStructured text. Installing Sphinx:: + pip install sphinx pio install sphinx_rtd_theme @@ -59,24 +64,23 @@ Installing Sphinx:: pip install recommonmark # surpport md Make a doc directory, and start sphinx:: + cd stereo mkdir docs # start sphinx - sphinx-quickstart Modify the config file: In doc/source directory is now a python file called conf.py. This is the file that controls the basics of how -sphinx runs when you run a build. For more information about the file, see the official -`Sphinx `_ document. +sphinx runs when you run a build. For more information about the file, see the official `Sphinx `_ document. Write the Tutorials/example what you need to update: - Tutorials and examples are hosted on a separate repository called -`Tutorials `_. + Tutorials and examples are hosted on a separate repository called `Tutorials `_. Make and build html:: + make clean make html @@ -93,6 +97,7 @@ Making a release This part is to tell developers how to publish stereopy to PyPi. Checking the environment:: + # First, install twine pip install twine @@ -103,6 +108,7 @@ Checking the environment:: twine check dist/* Making release:: + # Tag the version info git tag {version} From 805769405c06bc9716d5a93794612bbd57962f50 Mon Sep 17 00:00:00 2001 From: qiupinghust <38849660+qiupinghust@users.noreply.github.com> Date: Wed, 3 Nov 2021 17:36:56 +0800 Subject: [PATCH 28/61] Update contributing.rst --- docs/source/contributing.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst index edc46038..1a1ec72a 100644 --- a/docs/source/contributing.rst +++ b/docs/source/contributing.rst @@ -13,6 +13,7 @@ Contents Contributing code ----------------- 1. Clone the Stereopy source from github:: + git clone https://github.com/BGIResearch/stereopy.git 2. Create a new branch for your PR and checkout to the new branch:: From 2ce5f757c2e1a8b6b90c62cce35f556347e455aa Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 3 Nov 2021 17:38:43 +0800 Subject: [PATCH 29/61] remove '_' in xy label --- stereo/plots/plot_collection.py | 4 ++-- stereo/plots/violin.py | 12 ++++++------ 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index 59c04db3..ac34e3a5 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -151,8 +151,8 @@ def genes_count( hue=[0 for i in range(len(draw_data[:, 1]))], ax=ax, palette=['#808080'], - x_label=xi, - y_label=yi, + x_label=' '.join(xi.split('_')), + y_label=' '.join(yi.split('_')), dot_size=dot_size, color_bar=False, show_legend=False, diff --git a/stereo/plots/violin.py b/stereo/plots/violin.py index c09dbe34..67d33dbe 100644 --- a/stereo/plots/violin.py +++ b/stereo/plots/violin.py @@ -20,14 +20,14 @@ def violin_distribution(data): # 小提琴统计图 """ _, axs = plt.subplots(1, 3, figsize=(18, 4)) # plt.ylabel("total_counts") - seaborn.violinplot(y=data.cells.get_property('total_counts'), ax=axs[0]) + seaborn.violinplot(y=data.cells.get_property('total counts'), ax=axs[0]) # plt.ylabel("n_genes_by_counts") - seaborn.violinplot(y=data.cells.get_property('n_genes_by_counts'), ax=axs[1]) + seaborn.violinplot(y=data.cells.get_property('n genes by counts'), ax=axs[1]) # plt.ylabel("pct_counts_mt") - seaborn.violinplot(y=data.cells.get_property('pct_counts_mt'), ax=axs[2]) - axs[0].set_ylabel('total_counts', fontsize=15) - axs[1].set_ylabel('n_genes_by_counts', fontsize=15) - axs[2].set_ylabel('pct_counts_mt', fontsize=15) + seaborn.violinplot(y=data.cells.get_property('pct counts mt'), ax=axs[2]) + axs[0].set_ylabel('total counts', fontsize=15) + axs[1].set_ylabel('n genes by counts', fontsize=15) + axs[2].set_ylabel('pct counts mt', fontsize=15) def save_fig(output): From 532838816f96280a09fc4e31917c5f0e503534b6 Mon Sep 17 00:00:00 2001 From: qiupinghust <38849660+qiupinghust@users.noreply.github.com> Date: Wed, 3 Nov 2021 17:41:15 +0800 Subject: [PATCH 30/61] Update contributing.rst --- docs/source/contributing.rst | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst index 1a1ec72a..d59f9d84 100644 --- a/docs/source/contributing.rst +++ b/docs/source/contributing.rst @@ -32,7 +32,7 @@ Code style 3. Variable naming should be in lower case and should be as meaningful as possible, avoiding unintentional naming. 4. The comment information should be perfect, and each file, function, and class should write its comment information. -We recommend using restructured Text as the docstring format of comment information. + We recommend using restructured Text as the docstring format of comment information. Project structure ----------------- @@ -74,11 +74,13 @@ Make a doc directory, and start sphinx:: sphinx-quickstart Modify the config file: - In doc/source directory is now a python file called conf.py. This is the file that controls the basics of how -sphinx runs when you run a build. For more information about the file, see the official `Sphinx `_ document. + In doc/source directory is now a python file called conf.py. This is the file that controls the basics of how + sphinx runs when you run a build. For more information about the file, see the official + `Sphinx `_ document. Write the Tutorials/example what you need to update: - Tutorials and examples are hosted on a separate repository called `Tutorials `_. + Tutorials and examples are hosted on a separate repository called + `Tutorials `_. Make and build html:: @@ -91,7 +93,7 @@ Make and build html:: docstrings format ````````````````` We use the reStructured text style for writing docstrings. If you’re unfamiliar with the reStructuredText (rst) format, -See the `link `_. +see the `link `_. Making a release ---------------- From 17cdf57f7bf294d320aa51f53701cdae6535ebb8 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Thu, 4 Nov 2021 11:02:46 +0800 Subject: [PATCH 31/61] update doc --- docs/source/General/Installation.rst | 41 ++++++++++++++++++++++++++-- docs/source/release_note.rst | 7 +++++ setup_build.py | 1 + setup_configure.py | 2 +- 4 files changed, 47 insertions(+), 4 deletions(-) diff --git a/docs/source/General/Installation.rst b/docs/source/General/Installation.rst index 931a709b..9a636618 100644 --- a/docs/source/General/Installation.rst +++ b/docs/source/General/Installation.rst @@ -1,16 +1,51 @@ Installation ============ -install from pypi +Pre-built installation (recommended) +------------------------------------ .. code:: bash pip install stereopy -or install from github +Source installation +-------------------------------------------- + +To install h5py from source, you need: + +- HDF5 1.8.4 or newer with development headers +- A C compiler + +On Unix platforms, you also need pkg-config unless you explicitly specify a path for HDF5 as described below. + +You can specify build options for stereopy as environment variables when you build it from source: .. code:: bash git clone https://github.com/BGIResearch/stereopy.git cd stereopy - python setup.py install + HDF5_DIR=/path/to/hdf5 python setup.py install + +The supported build options are: + + - To specify where to find HDF5, use one of these options: + - HDF5_LIBDIR and HDF5_INCLUDEDIR: the directory containing the compiled HDF5 libraries and the directory containing the C header files, respectively. + - HDF5_DIR: a shortcut for common installations, a directory with lib and include subdirectories containing compiled libraries and C headers. + - HDF5_PKGCONFIG_NAME: A name to query pkg-config for. If none of these options are specified, h5py will query pkg-config by default for hdf5, or hdf5-openmpi if building with MPI support. + +Source installation on OSX/MacOS +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +HDF5 and Python are most likely in your package manager (e.g. Homebrew, Macports, or Fink). Be sure to install the development headers, as sometimes they are not included in the main package. + +XCode comes with a C compiler (clang), and your package manager will likely have other C compilers for you to install. + +Source installation on Linux/Other Unix +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +HDF5 and Python are most likely in your package manager. A C compiler almost definitely is, usually there is some kind of metapackage to install the default build tools, e.g. build-essential, which should be sufficient for our needs. Make sure that that you have the development headers, as they are usually not installed by default. They can usually be found in python-dev or similar and libhdf5-dev or similar. + +Source installation on Windows +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Installing from source on Windows is a much more difficult prospect than installing from source on other OSs, as not only are you likely to need to compile HDF5 from source, everything must be built with the correct version of Visual Studio. Additional patches are also needed to HDF5 to get HDF5 and Python to work together. diff --git a/docs/source/release_note.rst b/docs/source/release_note.rst index a598c3ae..1680a1f1 100644 --- a/docs/source/release_note.rst +++ b/docs/source/release_note.rst @@ -3,6 +3,13 @@ Release Notes .. role:: small +Version (next version) +----------- +next version :2021-11-04 +~~~~~~~~~~~~~~~~~~~~~~~ +1. Optimize gef io performance +2. Add Cython setup_build function + Version 0.2.1 ----------- diff --git a/setup_build.py b/setup_build.py index 6be98f8e..9dafc224 100644 --- a/setup_build.py +++ b/setup_build.py @@ -1,4 +1,5 @@ #!/usr/bin/env python3 +# coding: utf-8 """ Implements a custom Distutils build_ext replacement, which handles the full extension module build process, from cython code to C compilation and diff --git a/setup_configure.py b/setup_configure.py index e931c806..9672527b 100644 --- a/setup_configure.py +++ b/setup_configure.py @@ -1,4 +1,4 @@ - +# coding: utf-8 """ Implements a new custom Distutils command for handling library configuration. From 5fa0d6160108d3ffeb32f04909de0c7e27e64f60 Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Thu, 4 Nov 2021 11:06:34 +0800 Subject: [PATCH 32/61] update doc --- docs/source/General/Installation.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/General/Installation.rst b/docs/source/General/Installation.rst index 9a636618..e29e6d5b 100644 --- a/docs/source/General/Installation.rst +++ b/docs/source/General/Installation.rst @@ -11,7 +11,7 @@ Pre-built installation (recommended) Source installation -------------------------------------------- -To install h5py from source, you need: +To install stereopy from source, you need: - HDF5 1.8.4 or newer with development headers - A C compiler @@ -31,7 +31,7 @@ The supported build options are: - To specify where to find HDF5, use one of these options: - HDF5_LIBDIR and HDF5_INCLUDEDIR: the directory containing the compiled HDF5 libraries and the directory containing the C header files, respectively. - HDF5_DIR: a shortcut for common installations, a directory with lib and include subdirectories containing compiled libraries and C headers. - - HDF5_PKGCONFIG_NAME: A name to query pkg-config for. If none of these options are specified, h5py will query pkg-config by default for hdf5, or hdf5-openmpi if building with MPI support. + - HDF5_PKGCONFIG_NAME: A name to query pkg-config for. If none of these options are specified, stereopy will query pkg-config by default for hdf5, or hdf5-openmpi if building with MPI support. Source installation on OSX/MacOS ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ From 86351f3d66587213af5c12682fb85023ba3dc39b Mon Sep 17 00:00:00 2001 From: huangzhibo Date: Thu, 4 Nov 2021 12:12:27 +0800 Subject: [PATCH 33/61] revert test --- stereo/utils/data_helper.py | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/stereo/utils/data_helper.py b/stereo/utils/data_helper.py index 488a60d3..1583c9e1 100644 --- a/stereo/utils/data_helper.py +++ b/stereo/utils/data_helper.py @@ -6,8 +6,6 @@ @file: data_helper.py @time: 2021/3/14 16:11 """ -import os.path - from scipy.sparse import issparse import pandas as pd import numpy as np @@ -39,20 +37,6 @@ def get_position_array(data, obs_key='spatial'): def exp_matrix2df(data: StereoExpData, cell_name: Optional[np.ndarray] = None, gene_name: Optional[np.ndarray] = None): - i = 1 - while os.path.exists(f"genes_raw_{i}.txt"): - i += 1 - with open(f"genes_raw_{i}.txt", 'w') as grw, open(f"genes_non_raw_{i}.txt", 'w') as gnw, open(f"genes_mark_{i}.list", 'w') as gmw: - for g in data.tl.raw.genes.gene_name: - grw.write(g) - grw.write('\n') - for g in data.genes.gene_name: - gnw.write(g) - gnw.write('\n') - for g in gene_name: - gmw.write(g) - gmw.write('\n') - if data.tl.raw: data = data.tl.raw cell_index = [np.argwhere(data.cells.cell_name == i)[0][0] for i in cell_name] if cell_name is not None else None From 657a249a3a1f408c65e0b6d88b98407a53746838 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Tue, 9 Nov 2021 16:35:23 +0800 Subject: [PATCH 34/61] poly selection sample --- stereo/plots/__init__.py | 3 +- .../interact_plot/interactive_scatter.py | 2 +- stereo/plots/interact_plot/poly_selection.py | 122 ++++++++++++++++++ stereo/plots/plot_collection.py | 14 +- 4 files changed, 133 insertions(+), 8 deletions(-) create mode 100644 stereo/plots/interact_plot/poly_selection.py diff --git a/stereo/plots/__init__.py b/stereo/plots/__init__.py index b51e2c79..b9d8e499 100644 --- a/stereo/plots/__init__.py +++ b/stereo/plots/__init__.py @@ -6,11 +6,10 @@ @file:__init__.py.py @time:2021/03/05 """ -# from .clustering import plot_spatial_cluster -# from .dim_reduce import plot_dim_reduce # from .qc import spatial_distribution, genes_count, violin_distribution from .scatter import base_scatter from .marker_genes import marker_genes_text, marker_genes_heatmap from .plot_collection import PlotCollection from .interact_plot.spatial_cluster import interact_spatial_cluster from .interact_plot.interactive_scatter import InteractiveScatter +from .interact_plot.poly_selection import PolySelection diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index 4fda356c..cad33bd8 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -34,7 +34,7 @@ class InteractiveScatter: def __init__( self, data, - width: Optional[int] = 600, height: Optional[int] = 480, + width: Optional[int] = 500, height: Optional[int] = 500, bgcolor='#2F2F4F', # bgcolor='#333333' ): diff --git a/stereo/plots/interact_plot/poly_selection.py b/stereo/plots/interact_plot/poly_selection.py new file mode 100644 index 00000000..3d21bd5a --- /dev/null +++ b/stereo/plots/interact_plot/poly_selection.py @@ -0,0 +1,122 @@ +import pandas as pd +import numpy as np +import holoviews as hv +import hvplot.pandas +import colorcet as cc +from holoviews.selection import _Cmap, _Styles, _SelectionExprLayers, _SelectionStreams +import panel as pn +import param +from panel.layout import Row, Tabs, Column +from holoviews.element.selection import spatial_select +from holoviews.util.transform import dim +# from collections import OrderedDict +from stereo.config import StereoConfig +from typing import Optional +pn.extension() +hv.extension('bokeh') + +conf = StereoConfig() + +pn.param.ParamMethod.loading_indicator = True +pa = hv.annotate.instance() + + +class PolySelection(object): + """ + test + """ + + def __init__( + self, + data, + width: Optional[int] = 500, height: Optional[int] = 500, + bgcolor='#2F2F4F' + ): + self.data = data + self.width = width + self.height = height + self.bgcolor = bgcolor + # self.poly_annotate = hv.annotate.instance() + self.scatter_df = pd.DataFrame({ + # 'cell': self.data.cell_names, + 'x': self.data.position[:, 0], + 'y': self.data.position[:, 1] * -1, + # 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0], + 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0] if self.data.cells.total_counts is None else self.data.cells.total_counts + }).reset_index() + self.scatter = self._plot() + self.download = pn.widgets.Button( + name='export', + button_type="primary", + width=100 + ) + self.download.on_click(self._download_callback) + self.selected_exp_data = None + self.figure = self.show() + + # @param.depends(pa.param.annotator) + def _download_callback(self, _): + self.download.loading = True + # sio = io.StringIO() + # selected_pos = hv.Dataset(self.scatter_df).select(link.selection_expr).data[['cell']].values + # print(pa.selected.data) + selected_point = pa.selected.data[0] + selected_point_array = np.array([selected_point['x'], selected_point['y']]) + points = selected_point_array.T + selection_expr = dim('x', spatial_select, dim('y'), geometry=points) + # print(selection_expr) + selected_pos = hv.Dataset(self.scatter_df).select(selection_expr).data.index + self.generate_selected_expr_matrix(selected_pos) + # logger.info(f'generate a new StereoExpData') + + self.download.loading = False + + def generate_selected_expr_matrix(self, selected_pos, drop=False): + import copy + if selected_pos is not None: + # selected_index = np.isin(self.data.cell_names, selected_pos) + selected_index = self.scatter_df.index.drop(selected_pos) if drop else selected_pos + data_temp = copy.deepcopy(self.data) + self.selected_exp_data = data_temp.sub_by_index(cell_index=selected_index) + else: + self.selected_exp_data = None + + def _plot(self): + scatter = self.scatter_df.hvplot.scatter( + x='x', y='y', c='count', cnorm='eq_hist', + cmap=conf.linear_colors('stereo'), + width=self.width, height=self.height, + padding=(0.1, 0.1), + dynspread=True, + datashade=True, + ).opts( + bgcolor=self.bgcolor, + xaxis=None, + yaxis=None, + aspect='equal', + ) + return scatter + + def add_annotator(self): + poly_layout = pa( + hv.Polygons([]).opts(alpha=0.5), + show_vertices=True, + annotations=['index'], + vertex_style={'nonselection_alpha': 1, 'size': 10, 'color': 'blue'}, + table_opts={'editable': False, 'width': 300} + ) + poly_scatter, anno_table = hv.annotate.compose(self.scatter, poly_layout) + return poly_scatter, anno_table + + def show(self): + poly_scatter, anno_table = self.add_annotator() + self.figure = pn.Row( + poly_scatter, + pn.Column( + anno_table, + '', + '', + self.download + )) + # return pn.Row(poly_scatter, pn.Column(anno_table, self.download)) + return self.figure diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index ac34e3a5..4151703b 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -208,8 +208,9 @@ def violin(self): def interact_spatial_scatter( self, inline=True, - width: Optional[int] = 700, height: Optional[int] = 600, - bgcolor='#2F2F4F' + width: Optional[int] = 600, height: Optional[int] = 600, + bgcolor='#2F2F4F', + poly_select=False ): """ interactive spatial distribution @@ -222,11 +223,14 @@ def interact_spatial_scatter( """ from .interact_plot.interactive_scatter import InteractiveScatter - ins = InteractiveScatter(self.data, width=width, height=height, bgcolor=bgcolor) + fig = InteractiveScatter(self.data, width=width, height=height, bgcolor=bgcolor) # fig = ins.interact_scatter() + if poly_select: + from stereo.plots.interact_plot.poly_selection import PolySelection + fig = PolySelection(self.data, width=width, height=height, bgcolor=bgcolor) if not inline: - ins.figure.show() - return ins + fig.figure.show() + return fig def umap( self, From 6aa66dddd9d7f69ec9ccc12a31253581f4c67c30 Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Thu, 11 Nov 2021 11:29:20 +0800 Subject: [PATCH 35/61] add hotspot and its plot function --- requirements.txt | 9 +- stereo/algorithm/get_hotspot.py | 203 ---------------------------- stereo/algorithm/spatial_hotspot.py | 78 +++++++++++ stereo/core/st_pipeline.py | 57 +++++++- stereo/plots/plot_collection.py | 94 +++++++++++++ 5 files changed, 233 insertions(+), 208 deletions(-) delete mode 100644 stereo/algorithm/get_hotspot.py create mode 100644 stereo/algorithm/spatial_hotspot.py diff --git a/requirements.txt b/requirements.txt index 53dcca37..c69b0255 100644 --- a/requirements.txt +++ b/requirements.txt @@ -14,7 +14,7 @@ leidenalg>=0.8.7 umap-learn>=0.5.1 KDEpy>=1.1.0 Jinja2 -tifffile +tifffile~=2021.7.2 shapely~=1.7.1 packaging~=20.9 glog==0.3.1 @@ -23,7 +23,7 @@ opencv-contrib-python opencv-python-headless Pillow==8.2.0 slideio~=0.5.225 -panel==0.12.0 +panel~=0.12.1 holoviews==1.14.5 param==1.11.1 hvplot==0.7.3 @@ -33,10 +33,13 @@ datashader>=0.13.0 anndata~=0.7.6 phenograph==1.5.7 scikit-misc>=0.1.4 -requests +requests~=2.26.0 urllib3 typing_extensions~=3.7.4 natsort~=7.1.1 joblib~=1.0.1 patsy~=0.5.1 louvain>=0.7.0 + +igraph~=0.9.8 +hotspot~=0.9.1 \ No newline at end of file diff --git a/stereo/algorithm/get_hotspot.py b/stereo/algorithm/get_hotspot.py deleted file mode 100644 index 73eb0f0b..00000000 --- a/stereo/algorithm/get_hotspot.py +++ /dev/null @@ -1,203 +0,0 @@ -#!/usr/bin/env python3 -# coding: utf-8 -""" -@file: get_hotspot.py -@description: -@author: Yiran Wu -@email: wuyiran@genomics.cn -@last modified by: Yiran Wu - -change log: - 2021/10/14 create file. -""" -import copy - -import numpy as np -import pandas as pd -import hotspot -import matplotlib.pyplot as plt -import matplotlib.colors -import seaborn as sns -import pickle -from ..preprocess.filter import filter_genes - - -def get_hotspot(data,model='normal',n_neighbors=30,n_jobs=20, min_cell = 0, outdir=None): - # Load the counts and positions - # counts_file = '/Users/wuyiran55/Documents/jupyter/test/slideseq_data/MappedDGEForR.csv' - # pos_file = '/Users/wuyiran55/Documents/jupyter/test/slideseq_data/BeadLocationsForR.csv' - # - # pos = pd.read_csv(pos_file, index_col=0) - # counts = pd.read_csv(counts_file, index_col=0) # Takes a while, ~10min - # - # # Align the indices - # pos = pos.loc[counts.columns, :] - # counts = counts.loc[:, pos.index] - # barcodes = pos.index.values - # - # # Swap position axes - # # We swap x'=y and y'=-x to match the slides in the paper - # pos = pd.DataFrame( - # { - # 'X': pos.ycoord, - # 'Y': pos.xcoord*-1, - # }, index=pos.index - # ) - # - # num_umi = counts.sum(axis=0) - # - hit_data = copy.deepcopy(data) - num_umi = hit_data.cells.total_counts - if min_cell > 0: - hit_data = filter_genes(hit_data, min_cell=min_cell) - counts = hit_data.to_df() - pos = hit_data.position - - HS_RESULTS = ''.join([outdir, "_hs_results.p"]) - LCZ = ''.join([outdir, "/", "_lcz.p"]) - MODULES = ''.join([outdir, "/", "_modules.p"]) - HOTSPOT = ''.join([outdir, "/", "_hotspot.p"]) - - # Create the Hotspot object and the neighborhood graph - hs = hotspot.Hotspot(counts, model=model, latent=pos, umi_counts=num_umi) - - hs.create_knn_graph( - weighted_graph=False, n_neighbors=n_neighbors, - ) - - hs_results = hs.compute_autocorrelations(jobs=n_jobs) - - with open(HS_RESULTS, "wb") as f: - pickle.dump(hs_results,f) - - # select the genes with significant spatial autocorrelation - hs_genes = hs_results.index[hs_results.FDR < 0.05] - # Compute pair-wise local correlations between these genes - lcz = hs.compute_local_correlations(hs_genes, jobs=n_jobs) - with open(LCZ, "wb") as f: - pickle.dump(lcz, f) - - modules = hs.create_modules( - min_gene_threshold=20, core_only=False, fdr_threshold=0.05 - ) - hs.plot_local_correlations() - with open(MODULES, "wb") as f: - pickle.dump(modules, f) - - with open(HOTSPOT, "wb") as f: - pickle.dump(hs, f) - - -def plot(): - plt.rcParams['figure.figsize'] = (15.0, 12.0) - - hs.plot_local_correlations() - - plt.savefig(''.join([outdir, "/", NAME, "_module_number.png"]), dpi=600) - plt.close() - - results = hs.results.join(hs.modules) - results.to_csv(''.join([outdir, "/", NAME, "_Cluster.csv"])) - - module_scores = hs.calculate_module_scores() - module_scores.to_csv(''.join([outdir, "/", NAME, "_ModuleScore.csv"])) - - if not os.path.exists(f'{outdir}/ModuleFig'): - os.makedirs(f'{outdir}/ModuleFig') - for module in range(1, hs.modules.max() + 1): - scores = hs.module_scores[module] - - vmin = np.percentile(scores, 1) - vmax = np.percentile(scores, 99) - - plt.scatter(x=hs.latent.iloc[:, 0], - y=hs.latent.iloc[:, 1], - s=8, - c=scores, - vmin=vmin, - vmax=vmax, - edgecolors='none' - ) - axes = plt.gca() - for sp in axes.spines.values(): - sp.set_visible(False) - plt.xticks([]) - plt.yticks([]) - plt.title('Module {}'.format(module)) - plt.savefig(f'{outdir}/ModuleFig/Module{module}.png') - plt.close() - -def show(hs): - module = 1 - - results = hs.results.join(hs.modules) - results = results.loc[results.Module == module] - results.sort_values('Z', ascending=False).head(10) - -# Plot the module scores on top of positions - - module = 1 - - results = hs.results.join(hs.modules) - results = results.loc[results.Module == module] - genes = results.sort_values('Z', ascending=False).head(6).index - - fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) - - cmap = matplotlib.colors.LinearSegmentedColormap.from_list( - 'grays', ['#DDDDDD', '#000000']) - - for ax, gene in zip(axs.ravel(), genes): - - expression = np.log2(hs.counts.loc[gene]/hs.umi_counts*45 + 1) # log-counts per 45 (median UMI/barcode) - - vmin = 0 - vmax = np.percentile(expression, 95) - vmax = 2 - - plt.sca(ax) - plt.scatter(x=hs.latent.iloc[:, 0], - y=hs.latent.iloc[:, 1], - s=2, - c=expression, - vmin=vmin, - vmax=vmax, - edgecolors='none', - cmap=cmap - ) - - for sp in ax.spines.values(): - sp.set_visible(False) - - plt.xticks([]) - plt.yticks([]) - plt.title(gene) - -def summary(hs): - module_scores = hs.calculate_module_scores() - # Plot the module scores on top of positions - - fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) - - for ax, module in zip(axs.ravel(), range(1, hs.modules.max() + 1)): - scores = hs.module_scores[module] - - vmin = np.percentile(scores, 1) - vmax = np.percentile(scores, 99) - - plt.sca(ax) - plt.scatter(x=hs.latent.iloc[:, 0], - y=hs.latent.iloc[:, 1], - s=2, - c=scores, - vmin=vmin, - vmax=vmax, - edgecolors='none' - ) - - for sp in ax.spines.values(): - sp.set_visible(False) - - plt.xticks([]) - plt.yticks([]) - plt.title('Module {}'.format(module)) \ No newline at end of file diff --git a/stereo/algorithm/spatial_hotspot.py b/stereo/algorithm/spatial_hotspot.py new file mode 100644 index 00000000..97990bfc --- /dev/null +++ b/stereo/algorithm/spatial_hotspot.py @@ -0,0 +1,78 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +@file: get_hotspot.py +@description: +@author: Yiran Wu +@email: wuyiran@genomics.cn +@last modified by: Yiran Wu + +change log: + 2021/10/14 create file. +""" +import copy +import numpy as np +import pandas as pd +import hotspot +import matplotlib.pyplot as plt +import matplotlib.colors +import pickle +import os + + +def spatial_hotspot(data, model='normal', n_neighbors=30, n_jobs=20, fdr_threshold=0.05, + min_gene_threshold=50, ): + """ + identifying informative genes (and gene modules) + + :param data: StereoExpData + :param model: Specifies the null model to use for gene expression. + Valid choices are: + - 'danb': Depth-Adjusted Negative Binomial + - 'bernoulli': Models probability of detection + - 'normal': Depth-Adjusted Normal + - 'none': Assumes data has been pre-standardized + :param n_neighbors: Neighborhood size. + :param n_jobs: Number of parallel jobs to run. + :param fdr_threshold: Correlation threshold at which to stop assigning genes to modules + :param min_gene_threshold: Controls how small modules can be. Increase if there are too many modules being formed. + Decrease if substructre is not being captured + :param outdir: The results and figures will be stored in this directory. + If None, the results and figures will not be stored as files. + :param prefix: prefix of output files. + :return:Hotspot object. + + """ + + hit_data = copy.deepcopy(data) + counts = hit_data.to_df().T # gene x cell + pos = pd.DataFrame(hit_data.position, index=counts.columns) # cell name as index + num_umi = counts.sum(axis=0) # total counts per cell + # Create the Hotspot object and the neighborhood graph + hs = hotspot.Hotspot(counts, model=model, latent=pos, umi_counts=num_umi) + hs.create_knn_graph( + weighted_graph=False, n_neighbors=n_neighbors, + ) + hs_results = hs.compute_autocorrelations(jobs=n_jobs) + # select the genes with significant spatial autocorrelation + hs_genes = hs_results.index[hs_results.FDR < fdr_threshold] + # Compute pair-wise local correlations between these genes + lcz = hs.compute_local_correlations(hs_genes, jobs=n_jobs) + modules = hs.create_modules( + min_gene_threshold=min_gene_threshold, core_only=False, fdr_threshold=fdr_threshold, + ) + module_scores = hs.calculate_module_scores() + # plot_local_correlations(hs, outdir,prefix) + # plot_modules(hs, outdir) + # plot_gene_modulescores(hs, outdir,) + # if output is not None: + # save_pkl(hs, outdir + "/" + prefix + "_hotspot.pkl") + return hs + + +def save_pkl(obj, output): + with open(output, "wb") as f: + pickle.dump(obj, f) + f.close() + + diff --git a/stereo/core/st_pipeline.py b/stereo/core/st_pipeline.py index ad7b09c2..f5b14861 100644 --- a/stereo/core/st_pipeline.py +++ b/stereo/core/st_pipeline.py @@ -24,7 +24,8 @@ from ..algorithm.leiden import leiden as le from ..algorithm._louvain import louvain as lo from typing_extensions import Literal - +from ..io.reader import stereo_to_anndata +import squidpy as sq class StPipeline(object): def __init__(self, data): @@ -397,7 +398,7 @@ def neighbors(self, pca_res_key, method='umap', metric='euclidean', n_pcs=None, res = {'neighbor': neighbor, 'connectivities': connectivities, 'nn_dist': dists} self.result[res_key] = res - def get_neighbors_res(self, neighbors_res_key): + def get_neighbors_res(self, neighbors_res_key, res_key='neighbor'): """ get the neighbor result by the key. @@ -412,6 +413,22 @@ def get_neighbors_res(self, neighbors_res_key): nn_dist = neighbors_res['nn_dist'] return neighbor, connectivities, nn_dist + def bayes_neighbors(self, neighbors_res_key, n_neighbors=6,): + """ + Create a graph from spatial coordinates. + + :param neighbors_res_key: + :param n_neighbors: + :return: + """ + _, connectivities, _ = self.get_neighbors_res(neighbors_res_key) + adata = stereo_to_anndata(self.data) + sq.gr.spatial_neighbors(adata, n_neighs=n_neighbors) + connectivities[connectivities > 0] = 1 + adj = connectivities + adata.obsp['spatial_connectivities'] + adj[adj > 0] = 1 + self.result[neighbors_res_key]['connectivities'] = adj + def leiden(self, neighbors_res_key, res_key='cluster', @@ -576,3 +593,39 @@ def spatial_pattern_score(self, use_raw=True, res_key='spatial_pattern'): df = pd.DataFrame(x, columns=data.gene_names, index=data.cell_names) res = spatial_pattern_score(df) self.result[res_key] = res + + def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = None, model='normal', n_neighbors=30, + n_jobs=20, fdr_threshold=0.05, min_gene_threshold=50, outdir=None, prefix="output", + res_key='spatial_hotspot'): + """ + identifying informative genes (and gene modules) + + :param use_highly_genes: Whether to use only the expression of hypervariable genes as input, default True. + :param hvg_res_key: the key of highly varialbe genes to getting the result. + :param model: Specifies the null model to use for gene expression. + Valid choices are: + - 'danb': Depth-Adjusted Negative Binomial + - 'bernoulli': Models probability of detection + - 'normal': Depth-Adjusted Normal + - 'none': Assumes data has been pre-standardized + :param n_neighbors: Neighborhood size. + :param n_jobs: Number of parallel jobs to run. + :param fdr_threshold: Correlation threshold at which to stop assigning genes to modules + :param min_gene_threshold: Controls how small modules can be. + Increase if there are too many modules being formed. + Decrease if substructre is not being captured + :param outdir: The results and figures will be store in this directory. + If None, the results and figures will not be stored as files. + :param prefix: prefix of output files. + :param res_key: the key for getting the result from the self.result. + :return: + """ + from ..algorithm.spatial_hotspot import spatial_hotspot + if use_highly_genes and hvg_res_key not in self.result: + raise Exception(f'{hvg_res_key} is not in the result, please check and run the highly_var_genes func.') + data = self.subset_by_hvg(hvg_res_key, inplace=False) if use_highly_genes else self.data + hs = spatial_hotspot(data, model=model, n_neighbors=n_neighbors, n_jobs=n_jobs, fdr_threshold=fdr_threshold, + min_gene_threshold=min_gene_threshold,) + # res = {"results":hs.results, "local_cor_z": hs.local_correlation_z, "modules": hs.modules, + # "module_scores": hs.module_scores} + self.result[res_key] = hs diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index ac34e3a5..8605b126 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -4,8 +4,10 @@ @author: qindanhua@genomics.cn @time:2021/08/31 """ +import os.path from typing import Optional, Union, Sequence # import colorcet as cc +import matplotlib.pyplot as plt import numpy as np from .scatter import base_scatter, multi_scatter, marker_gene_volcano, highly_variable_genes from stereo.config import StereoConfig @@ -28,6 +30,22 @@ def __init__( self.data = data self.result = self.data.tl.result + @staticmethod + def savefig(output, dpi=300): + """ + save figures. + + :param output: output name of a file. + :param dpi: + :return: + """ + outdir = os.path.dirname(os.path.abspath(output)) + if not os.path.isdir(outdir): + os.makedirs(outdir) + else: + pass + plt.savefig(output, dpi=dpi) + def interact_cluster( self, res_key='cluster', inline=True, @@ -439,3 +457,79 @@ def check_res_key(self, res_key): return res else: raise ValueError(f'{res_key} result not found, please run tool before plot') + + def hotspot_local_correlations(self, res_key='spatial_hotspot', output=None): + res = self.check_res_key(res_key) + plt.rcParams['figure.figsize'] = (15.0, 12.0) + res.plot_local_correlations() + if output is not None: + self.savefig(output=output,backup="Module_Correlations.png", dpi=500) + + def hotspot_modules(self, res_key="spatial_hotspot", output=None): + res = self.check_res_key(res_key) + plt.rcParams['figure.figsize'] = (15.0, 12.0) + + for module in range(1, res.modules.max() + 1): + scores = res.module_scores[module] + + vmin = np.percentile(scores, 1) + vmax = np.percentile(scores, 99) + + plt.scatter(x=res.latent.iloc[:, 0], + y=res.latent.iloc[:, 1], + s=8, + c=scores, + vmin=vmin, + vmax=vmax, + edgecolors='none' + ) + axes = plt.gca() + for sp in axes.spines.values(): + sp.set_visible(False) + plt.xticks([]) + plt.yticks([]) + plt.title('Module {}'.format(module)) + + if output is not None: + self.savefig(output, f"Module{module}.png") + plt.show() + + def hotspot_gene_modulescores(self, res_key="spatial_hotspot", output=None, n_top_genes=6, module=1): + # Plot the module scores on top of positions + res = self.check_res_key(res_key) + results = res.results.join(res.modules) + results = results.loc[results.Module == module] + genes = results.sort_values('Z', ascending=False).head(n_top_genes).index + + fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) + + import matplotlib + cmap = matplotlib.colors.LinearSegmentedColormap.from_list( + 'grays', ['#DDDDDD', '#000000']) + + for ax, gene in zip(axs.ravel(), genes): + + expression = np.log2(res.counts.loc[gene]/res.umi_counts*45 + 1) # log-counts per 45 (median UMI/barcode) + + vmin = 0 + vmax = np.percentile(expression, 95) + vmax = 2 + + plt.sca(ax) + plt.scatter(x=res.latent.iloc[:, 0], + y=res.latent.iloc[:, 1], + s=2, + c=expression, + vmin=vmin, + vmax=vmax, + edgecolors='none', + cmap=cmap + ) + for sp in ax.spines.values(): + sp.set_visible(False) + + plt.xticks([]) + plt.yticks([]) + plt.title(gene) + if output is not None: + self.savefig(output, f"top{n_top_genes}_genes_Module{module}.png", dpi=500) From add6bb7bf7fa5508f927baba197a59aea3ffe4bd Mon Sep 17 00:00:00 2001 From: qiupinghust Date: Fri, 12 Nov 2021 10:32:16 +0800 Subject: [PATCH 36/61] Solve the problem that find marker calculation speed is too slow --- stereo/algorithm/mannwhitneyu.py | 284 +++++++++++++++++++++++++++++++ stereo/algorithm/statistics.py | 116 ++++++------- stereo/core/tool_base.py | 2 +- stereo/io/gef.py | 2 +- stereo/io/reader.py | 2 +- stereo/tools/find_markers.py | 64 +++++-- stereo/utils/data_helper.py | 6 +- tests/test_find_markers.py | 37 +++- 8 files changed, 421 insertions(+), 92 deletions(-) create mode 100644 stereo/algorithm/mannwhitneyu.py diff --git a/stereo/algorithm/mannwhitneyu.py b/stereo/algorithm/mannwhitneyu.py new file mode 100644 index 00000000..cb8a1755 --- /dev/null +++ b/stereo/algorithm/mannwhitneyu.py @@ -0,0 +1,284 @@ +#!/usr/bin/env python3 +# coding: utf-8 +""" +@file: mannwhitneyu.py +@description: +@author: Ping Qiu +@email: qiuping1@genomics.cn +@last modified by: Ping Qiu + +change log: + 2021/11/05 create file. +""" +import numpy as np +from dataclasses import make_dataclass +from collections import namedtuple +from scipy import special +from scipy import stats + + +def _broadcast_concatenate(x, y, axis): + '''Broadcast then concatenate arrays, leaving concatenation axis last''' + x = np.moveaxis(x, axis, -1) + y = np.moveaxis(y, axis, -1) + z = np.broadcast(x[..., 0], y[..., 0]) + x = np.broadcast_to(x, z.shape + (x.shape[-1],)) + y = np.broadcast_to(y, z.shape + (y.shape[-1],)) + z = np.concatenate((x, y), axis=-1) + return x, y, z + + +class _MWU: + '''Distribution of MWU statistic under the null hypothesis''' + # Possible improvement: if m and n are small enough, use integer arithmetic + + def __init__(self): + '''Minimal initializer''' + self._fmnks = -np.ones((1, 1, 1)) + + def pmf(self, k, m, n): + '''Probability mass function''' + self._resize_fmnks(m, n, np.max(k)) + # could loop over just the unique elements, but probably not worth + # the time to find them + for i in np.ravel(k): + self._f(m, n, i) + return self._fmnks[m, n, k] / special.binom(m + n, m) + + def cdf(self, k, m, n): + '''Cumulative distribution function''' + # We could use the fact that the distribution is symmetric to avoid + # summing more than m*n/2 terms, but it might not be worth the + # overhead. Let's leave that to an improvement. + pmfs = self.pmf(np.arange(0, np.max(k) + 1), m, n) + cdfs = np.cumsum(pmfs) + return cdfs[k] + + def sf(self, k, m, n): + '''Survival function''' + # Use the fact that the distribution is symmetric; i.e. + # _f(m, n, m*n-k) = _f(m, n, k), and sum from the left + k = m*n - k + # Note that both CDF and SF include the PMF at k. The p-value is + # calculated from the SF and should include the mass at k, so this + # is desirable + return self.cdf(k, m, n) + + def _resize_fmnks(self, m, n, k): + '''If necessary, expand the array that remembers PMF values''' + # could probably use `np.pad` but I'm not sure it would save code + shape_old = np.array(self._fmnks.shape) + shape_new = np.array((m+1, n+1, k+1)) + if np.any(shape_new > shape_old): + shape = np.maximum(shape_old, shape_new) + fmnks = -np.ones(shape) # create the new array + m0, n0, k0 = shape_old + fmnks[:m0, :n0, :k0] = self._fmnks # copy remembered values + self._fmnks = fmnks + + def _f(self, m, n, k): + '''Recursive implementation of function of [3] Theorem 2.5''' + + # [3] Theorem 2.5 Line 1 + if k < 0 or m < 0 or n < 0 or k > m*n: + return 0 + + # if already calculated, return the value + if self._fmnks[m, n, k] >= 0: + return self._fmnks[m, n, k] + + if k == 0 and m >= 0 and n >= 0: # [3] Theorem 2.5 Line 2 + fmnk = 1 + else: # [3] Theorem 2.5 Line 3 / Equation 3 + fmnk = self._f(m-1, n, k-n) + self._f(m, n-1, k) + + self._fmnks[m, n, k] = fmnk # remember result + + return fmnk + + +# Maintain state for faster repeat calls to mannwhitneyu w/ method='exact' +_mwu_state = _MWU() + + +def _tie_term(ranks): + """Tie correction term""" + # element i of t is the number of elements sharing rank i + _, t = np.unique(ranks, return_counts=True, axis=-1) + return (t**3 - t).sum(axis=-1) + + +def cal_tie_term(ranks): + tie_term = np.apply_along_axis(_tie_term, -1, ranks) + return tie_term + + +def _get_mwu_z(U, n1, n2, tie_term, continuity=True): + '''Standardized MWU statistic''' + # Follows mannwhitneyu [2] + mu = n1 * n2 / 2 + n = n1 + n2 + # Tie correction according to [2] + # tie_term = np.apply_along_axis(_tie_term, -1, ranks) + if tie_term is None: + s = np.sqrt(n1*n2*(n+1)/12) + else: + s = np.sqrt(n1*n2/12 * ((n + 1) - tie_term/(n*(n-1)))) + numerator = U - mu + if continuity: + numerator -= 0.5 + with np.errstate(divide='ignore', invalid='ignore'): + z = numerator / s + return z + + +def _mwu_input_validation(x, y, use_continuity, alternative, axis, method): + ''' Input validation and standardization for mannwhitneyu ''' + # Would use np.asarray_chkfinite, but infs are OK + x, y = np.atleast_1d(x), np.atleast_1d(y) + if np.isnan(x).any() or np.isnan(y).any(): + raise ValueError('`x` and `y` must not contain NaNs.') + if np.size(x) == 0 or np.size(y) == 0: + raise ValueError('`x` and `y` must be of nonzero size.') + + bools = {True, False} + if use_continuity not in bools: + raise ValueError(f'`use_continuity` must be one of {bools}.') + + alternatives = {"two-sided", "less", "greater"} + alternative = alternative.lower() + if alternative not in alternatives: + raise ValueError(f'`alternative` must be one of {alternatives}.') + + axis_int = int(axis) + if axis != axis_int: + raise ValueError('`axis` must be an integer.') + + methods = {"asymptotic", "exact", "auto"} + method = method.lower() + if method not in methods: + raise ValueError(f'`method` must be one of {methods}.') + + return x, y, use_continuity, alternative, axis_int, method + + +def _tie_check(xy): + """Find any ties in data""" + _, t = np.unique(xy, return_counts=True, axis=-1) + return np.any(t != 1) + + +def _mwu_choose_method(n1, n2, xy, method): + """Choose method 'asymptotic' or 'exact' depending on input size, ties""" + + # if both inputs are large, asymptotic is OK + if n1 > 8 and n2 > 8: + return "asymptotic" + + # if there are any ties, asymptotic is preferred + if np.apply_along_axis(_tie_check, -1, xy).any(): + return "asymptotic" + + return "exact" + + +MannwhitneyuResult = namedtuple('MannwhitneyuResult', ('statistic', 'pvalue')) + + +def mannwhitneyu(x, y, use_continuity=True, alternative="two-sided", + axis=0, method="auto", ranks=None, tie_term=None, x_mask=None): + r'''Perform the Mann-Whitney U rank test on two independent samples. + + The Mann-Whitney U test is a nonparametric test of the null hypothesis + that the distribution underlying sample `x` is the same as the + distribution underlying sample `y`. It is often used as a test of + of difference in location between distributions. + + Parameters + ---------- + x, y : array-like + N-d arrays of samples. The arrays must be broadcastable except along + the dimension given by `axis`. + use_continuity : bool, optional + Whether a continuity correction (1/2) should be applied. + Default is True when `method` is ``'asymptotic'``; has no effect + otherwise. + alternative : {'two-sided', 'less', 'greater'}, optional + Defines the alternative hypothesis. Default is 'two-sided'. + Let *F(u)* and *G(u)* be the cumulative distribution functions of the + distributions underlying `x` and `y`, respectively. Then the following + alternative hypotheses are available: + + * 'two-sided': the distributions are not equal, i.e. *F(u) ≠ G(u)* for + at least one *u*. + * 'less': the distribution underlying `x` is stochastically less + than the distribution underlying `y`, i.e. *F(u) > G(u)* for all *u*. + * 'greater': the distribution underlying `x` is stochastically greater + than the distribution underlying `y`, i.e. *F(u) < G(u)* for all *u*. + + Under a more restrictive set of assumptions, the alternative hypotheses + can be expressed in terms of the locations of the distributions; + see [5] section 5.1. + axis : int, optional + Axis along which to perform the test. Default is 0. + method : {'auto', 'asymptotic', 'exact'}, optional + Selects the method used to calculate the *p*-value. + Default is 'auto'. The following options are available. + + * ``'asymptotic'``: compares the standardized test statistic + against the normal distribution, correcting for ties. + * ``'exact'``: computes the exact *p*-value by comparing the observed + :math:`U` statistic against the exact distribution of the :math:`U` + statistic under the null hypothesis. No correction is made for ties. + * ``'auto'``: chooses ``'exact'`` when the size of one of the samples + is less than 8 and there are no ties; chooses ``'asymptotic'`` + otherwise. + + Returns + ------- + res : MannwhitneyuResult + An object containing attributes: + + statistic : float + The Mann-Whitney U statistic corresponding with sample `x`. See + Notes for the test statistic corresponding with sample `y`. + pvalue : float + The associated *p*-value for the chosen `alternative`. + ''' + + x, y, use_continuity, alternative, axis_int, method = ( + _mwu_input_validation(x, y, use_continuity, alternative, axis, method)) + + x, y, xy = _broadcast_concatenate(x, y, axis) + + n1, n2 = x.shape[-1], y.shape[-1] + + if method == "auto": + method = _mwu_choose_method(n1, n2, xy, method) + + # Follows [2] + if ranks is None: + ranks = stats.rankdata(xy, axis=-1) # method 2, step + + R1 = ranks[..., :n1].sum(axis=-1) if x_mask is None else ranks[..., x_mask].sum(axis=-1) # method 2, step 2 + U1 = R1 - n1*(n1+1)/2 # method 2, step 3 + U2 = n1 * n2 - U1 # as U1 + U2 = n1 * n2 + + if alternative == "greater": + U, f = U1, 1 # U is the statistic to use for p-value, f is a factor + elif alternative == "less": + U, f = U2, 1 # Due to symmetry, use SF of U2 rather than CDF of U1 + else: + U, f = np.maximum(U1, U2), 2 # multiply SF by two for two-sided test + + if method == "exact": + p = _mwu_state.sf(U.astype(int), n1, n2) + elif method == "asymptotic": + # if tie_term is None: + # tie_term = cal_tie_term(ranks) + z = _get_mwu_z(U, n1, n2, tie_term, continuity=use_continuity) + p = stats.norm.sf(z) + p *= f + p = np.clip(p, 0, 1) + + return MannwhitneyuResult(z, p) diff --git a/stereo/algorithm/statistics.py b/stereo/algorithm/statistics.py index fab95f92..2f8e017a 100644 --- a/stereo/algorithm/statistics.py +++ b/stereo/algorithm/statistics.py @@ -9,25 +9,7 @@ import numpy as np from scipy import stats from statsmodels.stats.multitest import multipletests - - -def t_test(group, other_group, corr_method=None): - """ - student t test - - :param group: - :param other_group: - :param corr_method: - :return: - """ - scores, pvals = stats.ttest_ind(group.values, other_group.values, axis=0, equal_var=False) - result = {'genes': group.columns, 'scores': scores, 'pvalues': pvals} - n_genes = len(group.columns) - pvals_adj = corr_pvalues(pvals, corr_method, n_genes) - if pvals_adj is not None: - result['pvalues_adj'] = pvals_adj - result['log2fc'] = cal_log2fc(group, other_group) - return pd.DataFrame(result) +from .mannwhitneyu import mannwhitneyu def corr_pvalues(pvals, method, n_genes): @@ -48,21 +30,38 @@ def corr_pvalues(pvals, method, n_genes): return pvals_adj -def wilcoxon_test(group, other_group, corr_method=None): +def cal_log2fc(group, other_group): + g_mean = np.mean(group, axis=0) + 1e-9 + other_mean = np.mean(other_group, axis=0) + 1e-9 + log2fc = np.log2(g_mean/other_mean + 10e-5) + return log2fc + + +def logreg(x, y, **kwds): + from sklearn.linear_model import LogisticRegression + clf = LogisticRegression(**kwds) + clf.fit(x, y) + scores_all = clf.coef_ + group = [str(i) for i in clf.classes_] if len(clf.classes_) > 2 else None + res = pd.DataFrame(scores_all, index=group) + return res + + +def wilcoxon(group, other_group, corr_method=None, ranks=None, tie_term=None, x_mask=None): """ wilcoxon_test :param group: :param other_group: :param corr_method: + :param ranks: + :param tie_term: + :param x_mask: :return: """ - # result = group.apply(lambda x: pd.Series(stats.mannwhitneyu(x, other_group[x.name])), axis=0).transpose() - g_num = group.shape[0] - x_array = np.hstack((group.values.T, other_group.values.T)) - result = np.apply_along_axis(lambda x: stats.mannwhitneyu(x[0: g_num], x[g_num:]), 1, x_array) - result = pd.DataFrame(result, columns=['scores', 'pvalues']) - result['genes'] = list(group.columns) + s, p = mannwhitneyu(group, other_group, ranks=ranks, tie_term=tie_term, x_mask=x_mask) + result = pd.DataFrame({'scores': s, 'pvalues': p}) + # result['genes'] = list(group.columns) n_genes = result.shape[0] pvals_adj = corr_pvalues(result['pvalues'], corr_method, n_genes) if pvals_adj is not None: @@ -71,41 +70,34 @@ def wilcoxon_test(group, other_group, corr_method=None): return pd.DataFrame(result) -def cal_log2fc(group, other_group): - g_mean = np.mean(group.values, axis=0) - other_mean = np.mean(other_group.values, axis=0) - log2fc = np.log2(g_mean/other_mean + 10e-5) - return log2fc - - -def logreg(x, y, **kwds): - from sklearn.linear_model import LogisticRegression - clf = LogisticRegression(**kwds) - clf.fit(x, y) - scores_all = clf.coef_ - group = [str(i) for i in clf.classes_] if len(clf.classes_) > 2 else None - res = pd.DataFrame(scores_all, index=group) - return res +def ttest(group, other_group, corr_method=None): + mean_group, var_group = get_mean_var(group) + mean_rest, var_rest = get_mean_var(other_group) + with np.errstate(invalid="ignore"): + scores, pvals = stats.ttest_ind_from_stats( + mean1=mean_group, + std1=np.sqrt(var_group), + nobs1=group.shape[0], + mean2=mean_rest, + std2=np.sqrt(var_rest), + nobs2=other_group.shape[0], + equal_var=False, # Welch's + ) + scores[np.isnan(scores)] = 0 + pvals[np.isnan(pvals)] = 1 + n_genes = group.shape[1] + pvals_adj = corr_pvalues(pvals, corr_method, n_genes) + result = {'scores': scores, 'pvalues': pvals} + if pvals_adj is not None: + result['pvalues_adj'] = pvals_adj + result['log2fc'] = cal_log2fc(group, other_group) + return pd.DataFrame(result) -# def t_test_overestim_var(): -# if method == 't-test': -# ns_rest = ns_other -# elif method == 't-test_overestim_var': -# # hack for overestimating the variance for small groups -# ns_rest = ns_group -# else: -# raise ValueError('Method does not exist.') -# -# # TODO: Come up with better solution. Mask unexpressed genes? -# # See https://github.com/scipy/scipy/issues/10269 -# with np.errstate(invalid="ignore"): -# scores, pvals = stats.ttest_ind_from_stats( -# mean1=mean_group, -# std1=np.sqrt(var_group), -# nobs1=ns_group, -# mean2=mean_rest, -# std2=np.sqrt(var_rest), -# nobs2=ns_rest, -# equal_var=False, # Welch's -# ) +def get_mean_var(x, *, axis=0): + mean = np.mean(x, axis=axis, dtype=np.float64) + mean_sq = np.multiply(x, x).mean(axis=axis, dtype=np.float64) + var = mean_sq - mean ** 2 + # enforce R convention (unbiased estimator) for variance + var *= x.shape[axis] / (x.shape[axis] - 1) + return mean, var \ No newline at end of file diff --git a/stereo/core/tool_base.py b/stereo/core/tool_base.py index 2016893b..b9e6725a 100644 --- a/stereo/core/tool_base.py +++ b/stereo/core/tool_base.py @@ -75,7 +75,7 @@ def _method_check(self, method, method_range): if method.lower() not in method_range: logger.error(f'method range in {method_range}') logger.error(f'{method} is out of range, please check.') - self._method = self.method + raise Exception('out of range') else: self._method = method return method.lower() in method_range diff --git a/stereo/io/gef.py b/stereo/io/gef.py index faa46cc3..6034f82f 100644 --- a/stereo/io/gef.py +++ b/stereo/io/gef.py @@ -113,7 +113,7 @@ def to_stereo_exp_data(self) -> StereoExpData: logger.info(f'the martrix has {self.cell_num} cells, and {self.gene_num} genes.') data.position = self.df_exp.loc[:, ['x', 'y']].drop_duplicates().values exp_matrix = csr_matrix((self.df_exp['count'], (self.df_exp['cell_index'], self.df_exp['gene_index'])), - shape=(self.cell_num, self.gene_num), dtype=np.int) + shape=(self.cell_num, self.gene_num), dtype=np.int32) data.cells = Cell(cell_name=self.cells) data.genes = Gene(gene_name=self.genes) data.exp_matrix = exp_matrix if self.is_sparse else exp_matrix.toarray() diff --git a/stereo/io/reader.py b/stereo/io/reader.py index 63831a6f..731bf14c 100644 --- a/stereo/io/reader.py +++ b/stereo/io/reader.py @@ -63,7 +63,7 @@ def read_gem(file_path, sep='\t', bin_type="bins", bin_size=100, is_sparse=True) rows = df['cell_id'].map(cells_dict) cols = df['geneID'].map(genes_dict) logger.info(f'the martrix has {len(cells)} cells, and {len(genes)} genes.') - exp_matrix = csr_matrix((df['UMICount'], (rows, cols)), shape=(cells.shape[0], genes.shape[0]), dtype=np.int) + exp_matrix = csr_matrix((df['UMICount'], (rows, cols)), shape=(cells.shape[0], genes.shape[0]), dtype=np.int32) data.cells = Cell(cell_name=cells) data.genes = Gene(gene_name=genes) data.exp_matrix = exp_matrix if is_sparse else exp_matrix.toarray() diff --git a/stereo/tools/find_markers.py b/stereo/tools/find_markers.py index 5f32fa97..3ba4bee0 100644 --- a/stereo/tools/find_markers.py +++ b/stereo/tools/find_markers.py @@ -19,6 +19,8 @@ from typing import Union, Sequence import numpy as np from ..plots.marker_genes import marker_genes_text, marker_genes_heatmap +from scipy import stats +from ..algorithm import mannwhitneyu, statistics class FindMarker(ToolBase): @@ -49,16 +51,19 @@ def __init__( case_groups: Union[str, np.ndarray] = 'all', control_groups: str = 'rest', corr_method: str = 'bonferroni', + tie_term: bool = False, ): super(FindMarker, self).__init__(data=data, groups=groups, method=method) + self.corr_method(method) self.corr_method = corr_method.lower() self.case_groups = case_groups self.control_group = control_groups + self.tie_term = tie_term self.fit() @ToolBase.method.setter def method(self, method): - m_range = ['t_test', 'wilcoxon_test'] + m_range = ['t_test', 'wilcoxon_test', 'logreg'] self._method_check(method, m_range) @property @@ -92,7 +97,20 @@ def fit(self): control_str = self.control_group if isinstance(self.control_group, str) else \ '-'.join([str(i) for i in self.control_group]) self.result = {} - logres_score = self.logres_score() if self.method == 'logres' else None + + # only used when method is wilcoxon + ranks = None + tie_term = None + if self.method == 'wilcoxon_test' and self.control_group == 'rest': + self.logger.info('cal rankdata') + ranks = stats.rankdata(self.data.exp_matrix.T, axis=-1) + self.logger.info('cal tie_term') + if self.tie_term: + tie_term = mannwhitneyu.cal_tie_term(ranks) + self.logger.info('cal tie_term end') + logres_score = None + if self.case_groups == 'all' and self.control_group == 'rest' and self.method == 'logreg': + logres_score = self.logres_score() for g in tqdm(case_groups, desc='Find marker gene: '): if self.control_group == 'rest': other_g = all_groups.copy() @@ -100,19 +118,33 @@ def fit(self): else: other_g = [self.control_group] other_g = list(other_g) - g_data = select_group(st_data=self.data, groups=g, cluster=group_info) - other_data = select_group(st_data=self.data, groups=other_g, cluster=group_info) - g_data, other_data = self.merge_groups_data(g_data, other_data) - result = self.get_func_by_path('stereo.algorithm.statistics', self.method)(g_data, other_data, - self.corr_method) \ - if logres_score is None else self.run_logres(logres_score, g_data, other_data, g) + self.logger.info('start to select group') + g_data, g_index = select_group(st_data=self.data, groups=g, cluster=group_info) + other_data, _ = select_group(st_data=self.data, groups=other_g, cluster=group_info) + self.logger.info('end selelct group') + # g_data, other_data = self.merge_groups_data(g_data, other_data) + if self.method == 't_test': + result = statistics.ttest(g_data, other_data, self.corr_method) + elif self.method == 'logreg': + if logres_score is None: + logres_score = self.logres_score() + result = self.run_logres(logres_score, g_data, other_data, g) + else: + if self.control_group != 'rest' and self.tie_term: + xy = np.concatenate((g_data.values, other_data.values), axis=-1) + ranks = stats.rankdata(xy, axis=-1) + tie_term = mannwhitneyu.cal_tie_term(ranks) + result = statistics.wilcoxon(g_data, other_data, self.corr_method, ranks, tie_term, g_index) + result['genes'] = self.data.gene_names + self.logger.info(g) self.result[f"{g}.vs.{control_str}"] = result def logres_score(self): from ..algorithm.statistics import logreg x = self.data.exp_matrix y = self.groups['group'].values - if (isinstance(self.case_groups, str) and self.case_groups != 'all') or isinstance(self.case_groups, np.ndarray): + if (isinstance(self.case_groups, str) and self.case_groups != 'all') or isinstance(self.case_groups, + np.ndarray): use_group = [self.case_groups] if isinstance(self.case_groups, str) else list(self.case_groups) use_group.append(self.control_group) group_index = self.groups['group'].isin(use_group) @@ -125,9 +157,9 @@ def logres_score(self): def run_logres(self, score_df, g_data, other_data, group_name): from ..algorithm.statistics import cal_log2fc res = pd.DataFrame() - res['genes'] = g_data.columns - gene_index = score_df.columns.isin(g_data.columns) - scores = score_df.loc[group_name].values if score_df.shape[0] > 1 else score_df.values[0] + # res['genes'] = g_data.columns + gene_index = score_df.columns.isin(self.data.gene_names) + scores = score_df.loc[str(group_name)].values if score_df.shape[0] > 1 else score_df.values[0] res['scores'] = scores[gene_index] res['log2fc'] = cal_log2fc(g_data, other_data) return res @@ -169,7 +201,7 @@ def plot_heatmap(self, max_value=None, gene_list=None, do_log=True): marker_genes_heatmap(data=self.data, cluster_res=self.groups, marker_res=self.result, - markers_num=markers_num, sort_key=sort_key, ascend=ascend, show_labels=show_labels, - show_group=show_group, show_group_txt=show_group_txt, - cluster_colors_array=cluster_colors_array, min_value=min_value, max_value=max_value, - gene_list=gene_list, do_log=do_log) + markers_num=markers_num, sort_key=sort_key, ascend=ascend, show_labels=show_labels, + show_group=show_group, show_group_txt=show_group_txt, + cluster_colors_array=cluster_colors_array, min_value=min_value, max_value=max_value, + gene_list=gene_list, do_log=do_log) diff --git a/stereo/utils/data_helper.py b/stereo/utils/data_helper.py index 1583c9e1..4e23c7f3 100644 --- a/stereo/utils/data_helper.py +++ b/stereo/utils/data_helper.py @@ -11,6 +11,7 @@ import numpy as np from ..core.stereo_exp_data import StereoExpData from typing import Optional +from datetime import datetime def select_group(st_data, groups, cluster): @@ -21,9 +22,8 @@ def select_group(st_data, groups, cluster): raise ValueError(f"cluster {g} is not in all cluster.") group_index = cluster['group'].isin(groups) exp_matrix = st_data.exp_matrix.toarray() if issparse(st_data.exp_matrix) else st_data.exp_matrix - group_sub = exp_matrix[group_index, :] - obs = st_data.cell_names[group_index] - return pd.DataFrame(group_sub, index=obs, columns=list(st_data.gene_names)) + group_sub = exp_matrix[group_index] + return group_sub, group_index def get_cluster_res(adata, data_key='clustering'): diff --git a/tests/test_find_markers.py b/tests/test_find_markers.py index ec734d76..9c6b7202 100644 --- a/tests/test_find_markers.py +++ b/tests/test_find_markers.py @@ -12,8 +12,8 @@ from stereo.plots.marker_genes import marker_genes_text, marker_genes_heatmap import matplotlib.pyplot as plt import pickle -import numpy as np - +import scanpy as sc +from anndata import AnnData def get_data(path): data = read_gem(path, bin_type='bins', bin_size=100) @@ -27,7 +27,7 @@ def run_cluster(data): def run_find_marker(data, group): - ft = FindMarker(data, group, method='wilcoxon_test', case_groups=np.array(['0', '1', '2']), control_groups='2') + ft = FindMarker(data, group, method='wilcoxon_test', case_groups='all', control_groups='rest') ft.plot_heatmap() plt.savefig('./heatmap.jpg') ft.plot_marker_text() @@ -35,6 +35,26 @@ def run_find_marker(data, group): return ft +def run_scanpy(data, group): + import pandas as pd + import numpy as np + from natsort import natsorted + + adata = AnnData(data.to_df()) + groups = group['cluster'].values + cluster = pd.Categorical( + values=groups.astype('U'), + categories=natsorted(map(str, np.unique(groups))), + ) + adata.obs['group'] = cluster + sc.tl.rank_genes_groups(adata, 'group', method='wilcoxon', use_raw=False) + result = adata.uns['rank_genes_groups'] + groups = result['names'].dtype.names + dat = pd.DataFrame({group + '_' + key[:1]: result[key][group] for group in groups for key in + ['names', 'logfoldchanges', 'scores', 'pvals']}) + dat.to_csv('./scanpy_wilcoxon.csv') + + def test_heatmap(data, ct_res, ft_res): marker_genes_heatmap(data, ct_res, ft_res) plt.savefig('./heatmap.jpg') @@ -59,10 +79,6 @@ def test_heatmap_gene_list(data, ct_res, ft_res, gene_list, min_value, max_value def test_logres(): - import pickle - import scanpy as sc - from anndata import AnnData - data = pickle.load(open('/home/qiuping/workspace/st/data/test_data.pickle', 'rb')) adata = AnnData(data.to_df()) @@ -89,11 +105,16 @@ def test_logres(): if __name__ == '__main__': + from datetime import datetime in_path = '/home/qiuping/workspace/st/stereopy_data/mouse/DP8400013846TR_F5.gem' data = get_data(in_path) ct_result = pickle.load(open('./ct.pk', 'rb')) ft_result = pickle.load(open('./ft.pk', 'rb')) - ft = run_find_marker(data, ct_result.matrix) + print(datetime.now().strftime('%Y-%m-%d %H:%M:%S'), 'stereopy') + # ft = run_find_marker(data, ct_result.matrix) + print(datetime.now().strftime('%Y-%m-%d %H:%M:%S'), 'scanpy') + run_scanpy(data, ct_result.matrix) + print(datetime.now().strftime('%Y-%m-%d %H:%M:%S'), 'end') # test_heatmap_gene_list(data, ct_result, ft_result, None, 300, 800) # test_heatmap_gene_list(data, ct_result, ft_result, ['Fga', 'Apoe'], 1, 50) # test_heatmap(data, ct_result, ft_result) From d025a3f85b04e15e509f5cfb95b3a87419ed36a7 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Fri, 12 Nov 2021 14:41:50 +0800 Subject: [PATCH 37/61] poly selection debug --- stereo/plots/interact_plot/poly_selection.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/stereo/plots/interact_plot/poly_selection.py b/stereo/plots/interact_plot/poly_selection.py index 3d21bd5a..84ffced1 100644 --- a/stereo/plots/interact_plot/poly_selection.py +++ b/stereo/plots/interact_plot/poly_selection.py @@ -60,7 +60,13 @@ def _download_callback(self, _): # sio = io.StringIO() # selected_pos = hv.Dataset(self.scatter_df).select(link.selection_expr).data[['cell']].values # print(pa.selected.data) - selected_point = pa.selected.data[0] + if len(pa.selected.data): + selected_point = pa.selected.data[0] + else: + import collections + from stereo.log_manager import logger + selected_point = collections.OrderedDict({'x': [], 'y': []}) + print('selections not found, please choose a selection area') selected_point_array = np.array([selected_point['x'], selected_point['y']]) points = selected_point_array.T selection_expr = dim('x', spatial_select, dim('y'), geometry=points) @@ -113,7 +119,7 @@ def show(self): self.figure = pn.Row( poly_scatter, pn.Column( - anno_table, + anno_table.Table.PolyAnnotator_Vertices, '', '', self.download From 0ce5a1f6008f093f5cc9785b359788838a0a74b0 Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Sun, 14 Nov 2021 17:48:49 +0800 Subject: [PATCH 38/61] add hotspot and plot --- stereo/core/st_pipeline.py | 12 +++-- stereo/plots/plot_collection.py | 87 +++++++++++++++++++-------------- stereo/plots/scatter.py | 28 ++++++++--- 3 files changed, 77 insertions(+), 50 deletions(-) diff --git a/stereo/core/st_pipeline.py b/stereo/core/st_pipeline.py index f5b14861..219e8532 100644 --- a/stereo/core/st_pipeline.py +++ b/stereo/core/st_pipeline.py @@ -24,8 +24,6 @@ from ..algorithm.leiden import leiden as le from ..algorithm._louvain import louvain as lo from typing_extensions import Literal -from ..io.reader import stereo_to_anndata -import squidpy as sq class StPipeline(object): def __init__(self, data): @@ -413,21 +411,25 @@ def get_neighbors_res(self, neighbors_res_key, res_key='neighbor'): nn_dist = neighbors_res['nn_dist'] return neighbor, connectivities, nn_dist - def bayes_neighbors(self, neighbors_res_key, n_neighbors=6,): + def bayes_neighbors(self, neighbors_res_key, n_neighbors=6, res_key='connectivities',): """ Create a graph from spatial coordinates. :param neighbors_res_key: :param n_neighbors: + :param res_key: the key for getting the result from the self.result. + :return: """ + from ..io.reader import stereo_to_anndata + import squidpy as sq _, connectivities, _ = self.get_neighbors_res(neighbors_res_key) adata = stereo_to_anndata(self.data) sq.gr.spatial_neighbors(adata, n_neighs=n_neighbors) connectivities[connectivities > 0] = 1 adj = connectivities + adata.obsp['spatial_connectivities'] adj[adj > 0] = 1 - self.result[neighbors_res_key]['connectivities'] = adj + self.result[neighbors_res_key][res_key] = adj def leiden(self, neighbors_res_key, @@ -595,7 +597,7 @@ def spatial_pattern_score(self, use_raw=True, res_key='spatial_pattern'): self.result[res_key] = res def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = None, model='normal', n_neighbors=30, - n_jobs=20, fdr_threshold=0.05, min_gene_threshold=50, outdir=None, prefix="output", + n_jobs=20, fdr_threshold=0.05, min_gene_threshold=50, res_key='spatial_hotspot'): """ identifying informative genes (and gene modules) diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index 8605b126..9acec117 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -463,58 +463,68 @@ def hotspot_local_correlations(self, res_key='spatial_hotspot', output=None): plt.rcParams['figure.figsize'] = (15.0, 12.0) res.plot_local_correlations() if output is not None: - self.savefig(output=output,backup="Module_Correlations.png", dpi=500) + self.savefig(output, dpi=500) - def hotspot_modules(self, res_key="spatial_hotspot", output=None): + def hotspot_modules( + self, + res_key="spatial_hotspot", + output=None, + ncols = 2, + dot_size = None, + palette = 'stereo', + ** kwargs + ): res = self.check_res_key(res_key) - plt.rcParams['figure.figsize'] = (15.0, 12.0) - - for module in range(1, res.modules.max() + 1): - scores = res.module_scores[module] - - vmin = np.percentile(scores, 1) - vmax = np.percentile(scores, 99) - - plt.scatter(x=res.latent.iloc[:, 0], - y=res.latent.iloc[:, 1], - s=8, - c=scores, - vmin=vmin, - vmax=vmax, - edgecolors='none' - ) - axes = plt.gca() - for sp in axes.spines.values(): - sp.set_visible(False) - plt.xticks([]) - plt.yticks([]) - plt.title('Module {}'.format(module)) + scores = [res.module_scores[module] for module in range(1, res.modules.max() + 1)] + vmin = np.percentile(scores, 1) + vmax = np.percentile(scores, 99) + multi_scatter( + x=res.latent.iloc[:, 0], + y=res.latent.iloc[:, 1], + hue=scores, + # x_label=['spatial1', 'spatial1'], + # y_label=['spatial2', 'spatial2'], + title=[f"module {module}" for module in range(1, res.modules.max() + 1)], + ncols=ncols, + dot_size=dot_size, + palette=palette, + color_bar=True, + vmin=vmin, + vmax=vmax, + **kwargs + ) - if output is not None: - self.savefig(output, f"Module{module}.png") - plt.show() + if output is not None: + self.savefig(output,dpi=500) + plt.show() - def hotspot_gene_modulescores(self, res_key="spatial_hotspot", output=None, n_top_genes=6, module=1): + def hotspot_gene_modulescores( + self, + res_key="spatial_hotspot", + output=None, + n_top_genes=6, + module=1, + ncols = 2, + dot_size = None, + palette = 'stereo', + ** kwargs): # Plot the module scores on top of positions res = self.check_res_key(res_key) results = res.results.join(res.modules) results = results.loc[results.Module == module] genes = results.sort_values('Z', ascending=False).head(n_top_genes).index - - fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) + #expression = [np.log2(res.counts.loc[gene] / res.umi_counts * 45 + 1) for gene in genes] import matplotlib cmap = matplotlib.colors.LinearSegmentedColormap.from_list( - 'grays', ['#DDDDDD', '#000000']) - + 'grays', ['#DDDDDD', 'blue']) + fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) for ax, gene in zip(axs.ravel(), genes): - - expression = np.log2(res.counts.loc[gene]/res.umi_counts*45 + 1) # log-counts per 45 (median UMI/barcode) - + expression = np.log2(res.counts.loc[gene] / res.umi_counts * 45 + 1) # log-counts per 45 (median UMI/barcode) + dot_size = 120000 / len(expression) if dot_size is None else dot_size vmin = 0 vmax = np.percentile(expression, 95) vmax = 2 - plt.sca(ax) plt.scatter(x=res.latent.iloc[:, 0], y=res.latent.iloc[:, 1], @@ -531,5 +541,6 @@ def hotspot_gene_modulescores(self, res_key="spatial_hotspot", output=None, n_to plt.xticks([]) plt.yticks([]) plt.title(gene) - if output is not None: - self.savefig(output, f"top{n_top_genes}_genes_Module{module}.png", dpi=500) + if output is not None: + self.savefig(output, dpi=500) + plt.show() \ No newline at end of file diff --git a/stereo/plots/scatter.py b/stereo/plots/scatter.py index 63494018..21be6c19 100644 --- a/stereo/plots/scatter.py +++ b/stereo/plots/scatter.py @@ -11,7 +11,7 @@ """ from matplotlib.cm import get_cmap import matplotlib.pyplot as plt -from matplotlib.colors import ListedColormap, to_hex, Normalize +from matplotlib.colors import ListedColormap, to_hex, Normalize, LinearSegmentedColormap from matplotlib import gridspec import numpy as np import pandas as pd @@ -38,6 +38,9 @@ def base_scatter( legend_ncol=2, show_legend=True, show_ticks=False, + vmin=None, + vmax=None, + SegmentedColormap = None, ): # scatter plot, 聚类后表达矩阵空间分布 """ scatter plotter @@ -57,6 +60,8 @@ def base_scatter( :param legend_ncol: number of legend columns :param show_legend :param show_ticks + :param vmin: + :param vmax: :return: matplotlib Axes object @@ -71,12 +76,15 @@ def base_scatter( colors = conf.linear_colors(palette) cmap = ListedColormap(colors) cmap.set_bad(bad_color) - sns.scatterplot(x=x, y=y, hue=hue, ax=ax, palette=cmap, size=hue, sizes=(dot_size, dot_size)) + + sns.scatterplot(x=x, y=y, hue=hue, ax=ax, palette=cmap, size=hue, sizes=(dot_size, dot_size), vmin=vmin, + vmax=vmax) + if vmin is None and vmax is None: + norm = plt.Normalize(hue.min(), hue.max()) + sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm) + sm.set_array([]) + ax.figure.colorbar(sm) ax.legend_.remove() - norm = plt.Normalize(hue.min(), hue.max()) - sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm) - sm.set_array([]) - ax.figure.colorbar(sm) else: from natsort import natsorted import collections @@ -120,6 +128,8 @@ def multi_scatter( bad_color: str = "lightgrey", dot_size: int = None, palette: Optional[Union[np.ndarray, list, str]] = 'stereo', + vmin=None, + vmax=None, ): """ plot multiple scatters @@ -135,6 +145,8 @@ def multi_scatter( :param bad_color: the name list of clusters to show. :param dot_size: marker size. :param palette: customized colors + :param vmin: + :param vmax: :return: matplotlib Axes object @@ -165,7 +177,9 @@ def multi_scatter( color_bar=color_bar, bad_color=bad_color, dot_size=dot_size, - palette=palette + palette=palette, + vmin=vmin, + vmax=vmax, ) return fig From 0eede8e34c322323baacb7e51eda0ff4812472dd Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Sun, 14 Nov 2021 22:19:26 +0800 Subject: [PATCH 39/61] add scenic --- requirements.txt | 7 +++- stereo/algorithm/scenic.py | 59 +++++++++++++++++++++++++++++ stereo/algorithm/spatial_hotspot.py | 6 --- stereo/core/st_pipeline.py | 18 +++++++++ stereo/io/writer.py | 8 +++- stereo/plots/plot_collection.py | 45 ++++++++++++++++++++++ 6 files changed, 135 insertions(+), 8 deletions(-) create mode 100755 stereo/algorithm/scenic.py diff --git a/requirements.txt b/requirements.txt index f794669a..cff96949 100644 --- a/requirements.txt +++ b/requirements.txt @@ -43,4 +43,9 @@ patsy~=0.5.1 louvain>=0.7.0 igraph~=0.9.8 -hotspot~=0.9.1 \ No newline at end of file +hotspot~=0.9.1 +scanpy~=1.8.2 +arboreto~=0.1.6 +loompy~=3.0.6 +ctxcore~=0.1.1 +pyscenic~=0.11.2 \ No newline at end of file diff --git a/stereo/algorithm/scenic.py b/stereo/algorithm/scenic.py new file mode 100755 index 00000000..1d633f22 --- /dev/null +++ b/stereo/algorithm/scenic.py @@ -0,0 +1,59 @@ +import glob +from arboreto.utils import load_tf_names +from arboreto.algo import grnboost2 +from ctxcore.rnkdb import FeatherRankingDatabase as RankingDatabase +from pyscenic.utils import modules_from_adjacencies +from pyscenic.prune import prune2df, df2regulons +from pyscenic.aucell import aucell +import seaborn as sns +import pandas as pd +import warnings +warnings.filterwarnings('ignore') +import os +os.environ['NUMBA_THREADING_LAYER'] = 'omp' + + +def scenic(data, tfs, motif, database_dir, outdir=None,): + """ + + :param data: StereoExpData + :param tfs: tfs file in txt format + :param motif: motif file in tbl format + :param database_dir: directory containing reference database(.feather files), cisTarget + :param outdir: directory containing output files(including modules.pkl, regulons.csv, adjacencies.tsv, motifs.csv). + If None, results will not be output to files. + :return: + """ + ex_matrix = data.to_df() + tf_names = load_tf_names(tfs) # Derive list of Transcription Factors(TF) for Mus musculus + db_fnames = glob.glob(os.path.join(database_dir,"*feather")) # Load ranking databases + dbs = [RankingDatabase(fname=fname, name=get_name(fname)) for fname in db_fnames] + # Phase I: Inference of co-expression modules + # Run GRNboost from arboreto to infer co-expression modules + adjacencies = grnboost2(expression_data=ex_matrix, tf_names=tf_names, verbose=True) + # Derive potential regulomes from these co-expression modules + modules = list(modules_from_adjacencies(adjacencies, ex_matrix)) + # Phase II: Prune modules for targets with cis regulatory footprints (aka RcisTarget) + motifs = prune2df(dbs, modules, motif) + regulons = df2regulons(motifs) + regulons_df = pd.DataFrame.from_dict(regulons[0].gene2weight, orient="index", columns=["value"]) + regulons_df["TF"] = regulons[0].name + for i in range(1, len(regulons)): + temp = pd.DataFrame.from_dict(regulons[i].gene2weight, orient="index", columns=["value"]) + temp["TF"] = regulons[i].name + regulons_df = pd.concat([regulons_df, temp]) + # Phase III: Cellular regulon enrichment matrix (aka AUCell) + auc_mtx = aucell(ex_matrix, regulons, num_workers=1) + sns.clustermap(auc_mtx, figsize=(12, 12)) + if outdir is not None: + from stereo.io.writer import save_pkl + save_pkl(modules,output=f"{outdir}/modules.pkl") + regulons_df.to_csv(f"{outdir}/regulons.csv") + save_pkl(regulons,output=f"{outdir}/regulons.pkl") + adjacencies.to_csv(f"{outdir}/adjacencies.tsv") + motifs.to_csv(f"{outdir}/motifs.csv") + return modules, regulons, adjacencies, motifs, auc_mtx, regulons_df + + +def get_name(fname): + return os.path.splitext(os.path.basename(fname))[0] \ No newline at end of file diff --git a/stereo/algorithm/spatial_hotspot.py b/stereo/algorithm/spatial_hotspot.py index 97990bfc..ecf6c80a 100644 --- a/stereo/algorithm/spatial_hotspot.py +++ b/stereo/algorithm/spatial_hotspot.py @@ -70,9 +70,3 @@ def spatial_hotspot(data, model='normal', n_neighbors=30, n_jobs=20, fdr_thresho return hs -def save_pkl(obj, output): - with open(output, "wb") as f: - pickle.dump(obj, f) - f.close() - - diff --git a/stereo/core/st_pipeline.py b/stereo/core/st_pipeline.py index 219e8532..cc290183 100644 --- a/stereo/core/st_pipeline.py +++ b/stereo/core/st_pipeline.py @@ -631,3 +631,21 @@ def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = Non # res = {"results":hs.results, "local_cor_z": hs.local_correlation_z, "modules": hs.modules, # "module_scores": hs.module_scores} self.result[res_key] = hs + + def scenic(self, data, tfs, motif, database_dir, res_key='scenic', outdir=None,): + """ + + :param data: StereoExpData + :param tfs: tfs file in txt format + :param motif: motif file in tbl format + :param database_dir: directory containing reference database(.feather files), cisTarget + :param outdir: directory containing output files(including modules.pkl, regulons.csv, adjacencies.tsv, motifs.csv). + If None, results will not be output to files. + :return: + """ + from ..algorithm.scenic import scenic + modules, regulons, adjacencies, motifs, auc_mtx, regulons_df = scenic(data, tfs, motif, database_dir, + outdir=None) + res = {"regulons": regulons, "adjacencies": adjacencies, "modules": modules, "motifs": motifs, + "auc_mtx":auc_mtx, "regulons_df": regulons_df} + self.result[res_key] = res \ No newline at end of file diff --git a/stereo/io/writer.py b/stereo/io/writer.py index ca200801..5d77ed0d 100644 --- a/stereo/io/writer.py +++ b/stereo/io/writer.py @@ -15,7 +15,7 @@ from scipy.sparse import csr_matrix, issparse import h5py from stereo.io import h5ad - +import pickle def write_h5ad(data): """ @@ -51,3 +51,9 @@ def write(data, output=None, output_type='h5ad'): data.output = output if output_type == 'h5ad': write_h5ad(data) + + +def save_pkl(obj, output): + with open(output, "wb") as f: + pickle.dump(obj, f) + f.close() diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index 9acec117..31635682 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -541,6 +541,51 @@ def hotspot_gene_modulescores( plt.xticks([]) plt.yticks([]) plt.title(gene) + if output is not None: + self.savefig(output, dpi=500) + plt.show() + + def scenic_regulons( + self, + res_key="scenic", + output=None, + ): + res = self.check_res_key(res_key) + regulons=res["regulons"] + auc_mtx=res["auc_mtx"] + for tf in range(0, len(regulons)): + scores = auc_mtx.iloc[:, tf] + + vmin = np.percentile(scores, 1) + vmax = np.percentile(scores, 99) + + plt.scatter(x=self.data.position[:, 0], + y=self.data.position[:, 1], + s=8, + c=scores, + vmin=vmin, + vmax=vmax, + edgecolors='none' + ) + axes = plt.gca() + for sp in axes.spines.values(): + sp.set_visible(False) + plt.xticks([]) + plt.yticks([]) + plt.title('Regulon {}'.format(auc_mtx.columns[tf])) + if output is not None: + self.savefig(output, dpi=500) + plt.show() + + def scenic_clustermap( + self, + res_key="scenic", + output=None, + ): + res = self.check_res_key(res_key) + auc_mtx = res["auc_mtx"] + import seaborn as sns + sns.clustermap(auc_mtx, figsize=(12, 12)) if output is not None: self.savefig(output, dpi=500) plt.show() \ No newline at end of file From 82d84cf8a7fa64e64005a0ff223143dc7045561a Mon Sep 17 00:00:00 2001 From: molindoudou Date: Mon, 15 Nov 2021 15:57:45 +0800 Subject: [PATCH 40/61] Interactive scatter select bug when index is not number --- stereo/plots/interact_plot/interactive_scatter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/stereo/plots/interact_plot/interactive_scatter.py b/stereo/plots/interact_plot/interactive_scatter.py index cad33bd8..69ad1dcf 100644 --- a/stereo/plots/interact_plot/interactive_scatter.py +++ b/stereo/plots/interact_plot/interactive_scatter.py @@ -49,7 +49,7 @@ def __init__( 'y': self.data.position[:, 1] * -1, # 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0], 'count': np.array(self.data.exp_matrix.sum(axis=1))[:, 0] if self.data.cells.total_counts is None else self.data.cells.total_counts - }) + }).reset_index() self.selected_exp_data = None self.drop_checkbox = pn.widgets.Select( name='method', From c8951027864f8098a1062f6b6071aae22a50ac9e Mon Sep 17 00:00:00 2001 From: molindoudou Date: Tue, 16 Nov 2021 14:38:28 +0800 Subject: [PATCH 41/61] violin.py debug --- stereo/plots/violin.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/stereo/plots/violin.py b/stereo/plots/violin.py index 67d33dbe..8427cf43 100644 --- a/stereo/plots/violin.py +++ b/stereo/plots/violin.py @@ -20,11 +20,11 @@ def violin_distribution(data): # 小提琴统计图 """ _, axs = plt.subplots(1, 3, figsize=(18, 4)) # plt.ylabel("total_counts") - seaborn.violinplot(y=data.cells.get_property('total counts'), ax=axs[0]) + seaborn.violinplot(y=data.cells.get_property('total_counts'), ax=axs[0]) # plt.ylabel("n_genes_by_counts") - seaborn.violinplot(y=data.cells.get_property('n genes by counts'), ax=axs[1]) + seaborn.violinplot(y=data.cells.get_property('n_genes_by_counts'), ax=axs[1]) # plt.ylabel("pct_counts_mt") - seaborn.violinplot(y=data.cells.get_property('pct counts mt'), ax=axs[2]) + seaborn.violinplot(y=data.cells.get_property('pct_counts_mt'), ax=axs[2]) axs[0].set_ylabel('total counts', fontsize=15) axs[1].set_ylabel('n genes by counts', fontsize=15) axs[2].set_ylabel('pct counts mt', fontsize=15) From fb47ec3e2675d2cecd5cb6c01bb7015756ed135e Mon Sep 17 00:00:00 2001 From: wuyiran55 Date: Tue, 16 Nov 2021 18:18:49 +0800 Subject: [PATCH 42/61] changes in hotspot and plot --- requirements.txt | 7 +- stereo/algorithm/scenic.py | 7 +- stereo/algorithm/spatial_hotspot.py | 21 +-- stereo/core/st_pipeline.py | 36 +++-- stereo/plots/plot_collection.py | 53 +------ stereo/plots/violin.py | 6 +- stereo/tools/cluster_new.py | 232 ---------------------------- 7 files changed, 39 insertions(+), 323 deletions(-) delete mode 100644 stereo/tools/cluster_new.py diff --git a/requirements.txt b/requirements.txt index cff96949..e1d8fe5d 100644 --- a/requirements.txt +++ b/requirements.txt @@ -41,11 +41,8 @@ natsort~=7.1.1 joblib~=1.0.1 patsy~=0.5.1 louvain>=0.7.0 - igraph~=0.9.8 -hotspot~=0.9.1 -scanpy~=1.8.2 arboreto~=0.1.6 -loompy~=3.0.6 ctxcore~=0.1.1 -pyscenic~=0.11.2 \ No newline at end of file +pyscenic~=0.11.2 +squidpy diff --git a/stereo/algorithm/scenic.py b/stereo/algorithm/scenic.py index 1d633f22..d80d70a0 100755 --- a/stereo/algorithm/scenic.py +++ b/stereo/algorithm/scenic.py @@ -5,7 +5,6 @@ from pyscenic.utils import modules_from_adjacencies from pyscenic.prune import prune2df, df2regulons from pyscenic.aucell import aucell -import seaborn as sns import pandas as pd import warnings warnings.filterwarnings('ignore') @@ -22,6 +21,7 @@ def scenic(data, tfs, motif, database_dir, outdir=None,): :param database_dir: directory containing reference database(.feather files), cisTarget :param outdir: directory containing output files(including modules.pkl, regulons.csv, adjacencies.tsv, motifs.csv). If None, results will not be output to files. + :return: """ ex_matrix = data.to_df() @@ -44,14 +44,15 @@ def scenic(data, tfs, motif, database_dir, outdir=None,): regulons_df = pd.concat([regulons_df, temp]) # Phase III: Cellular regulon enrichment matrix (aka AUCell) auc_mtx = aucell(ex_matrix, regulons, num_workers=1) - sns.clustermap(auc_mtx, figsize=(12, 12)) + #sns.clustermap(auc_mtx, figsize=(12, 12)) if outdir is not None: from stereo.io.writer import save_pkl save_pkl(modules,output=f"{outdir}/modules.pkl") - regulons_df.to_csv(f"{outdir}/regulons.csv") + regulons_df.to_csv(f"{outdir}/regulons_gene2weight.csv") save_pkl(regulons,output=f"{outdir}/regulons.pkl") adjacencies.to_csv(f"{outdir}/adjacencies.tsv") motifs.to_csv(f"{outdir}/motifs.csv") + auc_mtx.to_csv(f"{outdir}/aux.csv") return modules, regulons, adjacencies, motifs, auc_mtx, regulons_df diff --git a/stereo/algorithm/spatial_hotspot.py b/stereo/algorithm/spatial_hotspot.py index ecf6c80a..873c1f8f 100644 --- a/stereo/algorithm/spatial_hotspot.py +++ b/stereo/algorithm/spatial_hotspot.py @@ -11,17 +11,12 @@ 2021/10/14 create file. """ import copy -import numpy as np import pandas as pd import hotspot -import matplotlib.pyplot as plt -import matplotlib.colors -import pickle -import os def spatial_hotspot(data, model='normal', n_neighbors=30, n_jobs=20, fdr_threshold=0.05, - min_gene_threshold=50, ): + min_gene_threshold=50, outdir=None): """ identifying informative genes (and gene modules) @@ -37,9 +32,9 @@ def spatial_hotspot(data, model='normal', n_neighbors=30, n_jobs=20, fdr_thresho :param fdr_threshold: Correlation threshold at which to stop assigning genes to modules :param min_gene_threshold: Controls how small modules can be. Increase if there are too many modules being formed. Decrease if substructre is not being captured - :param outdir: The results and figures will be stored in this directory. - If None, the results and figures will not be stored as files. - :param prefix: prefix of output files. + :param outdir: directory containing output file(hotspot.pkl). Hotspot object will be totally output here. + If None, results will not be output to a file. + :return:Hotspot object. """ @@ -62,11 +57,9 @@ def spatial_hotspot(data, model='normal', n_neighbors=30, n_jobs=20, fdr_thresho min_gene_threshold=min_gene_threshold, core_only=False, fdr_threshold=fdr_threshold, ) module_scores = hs.calculate_module_scores() - # plot_local_correlations(hs, outdir,prefix) - # plot_modules(hs, outdir) - # plot_gene_modulescores(hs, outdir,) - # if output is not None: - # save_pkl(hs, outdir + "/" + prefix + "_hotspot.pkl") + if outdir is not None: + from stereo.io.writer import save_pkl + save_pkl(hs, output=f"{outdir}/hotspot.pkl") return hs diff --git a/stereo/core/st_pipeline.py b/stereo/core/st_pipeline.py index cc290183..be15f561 100644 --- a/stereo/core/st_pipeline.py +++ b/stereo/core/st_pipeline.py @@ -25,6 +25,7 @@ from ..algorithm._louvain import louvain as lo from typing_extensions import Literal + class StPipeline(object): def __init__(self, data): """ @@ -411,7 +412,7 @@ def get_neighbors_res(self, neighbors_res_key, res_key='neighbor'): nn_dist = neighbors_res['nn_dist'] return neighbor, connectivities, nn_dist - def bayes_neighbors(self, neighbors_res_key, n_neighbors=6, res_key='connectivities',): + def spatial_neighbors(self, neighbors_res_key, n_neighbors=6, res_key='connectivities',): """ Create a graph from spatial coordinates. @@ -597,8 +598,7 @@ def spatial_pattern_score(self, use_raw=True, res_key='spatial_pattern'): self.result[res_key] = res def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = None, model='normal', n_neighbors=30, - n_jobs=20, fdr_threshold=0.05, min_gene_threshold=50, - res_key='spatial_hotspot'): + n_jobs=20, fdr_threshold=0.05, min_gene_threshold=50, outdir=None, res_key='spatial_hotspot'): """ identifying informative genes (and gene modules) @@ -616,9 +616,8 @@ def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = Non :param min_gene_threshold: Controls how small modules can be. Increase if there are too many modules being formed. Decrease if substructre is not being captured - :param outdir: The results and figures will be store in this directory. - If None, the results and figures will not be stored as files. - :param prefix: prefix of output files. + :param outdir: directory containing output file(hotspot.pkl). Hotspot object will be totally output here. + If None, results will not be output to a file. :param res_key: the key for getting the result from the self.result. :return: """ @@ -632,20 +631,25 @@ def spatial_hotspot(self, use_highly_genes=True, hvg_res_key:Optional[str] = Non # "module_scores": hs.module_scores} self.result[res_key] = hs - def scenic(self, data, tfs, motif, database_dir, res_key='scenic', outdir=None,): + def scenic(self, tfs, motif, database_dir, res_key='scenic', use_raw=True, outdir=None,): """ - :param data: StereoExpData :param tfs: tfs file in txt format :param motif: motif file in tbl format - :param database_dir: directory containing reference database(.feather files), cisTarget - :param outdir: directory containing output files(including modules.pkl, regulons.csv, adjacencies.tsv, motifs.csv). - If None, results will not be output to files. + :param database_dir: directory containing reference database(*.feather files) from cisTarget. + :param res_key: the key for getting the result from the self.result. + :param use_raw: whether use the raw count express matrix for the analysis, default True. + :param outdir: directory containing output files(including modules.pkl, regulons.csv, adjacencies.tsv, + motifs.csv). If None, results will not be output to files. + :return: """ - from ..algorithm.scenic import scenic - modules, regulons, adjacencies, motifs, auc_mtx, regulons_df = scenic(data, tfs, motif, database_dir, - outdir=None) - res = {"regulons": regulons, "adjacencies": adjacencies, "modules": modules, "motifs": motifs, + from ..algorithm.scenic import scenic as cal_sce + if use_raw and not self.raw: + raise Exception(f'self.raw must be set if use_raw is True.') + data = self.raw if use_raw else self.data + modules, regulons, adjacencies, motifs, auc_mtx, regulons_df = cal_sce(data, tfs, motif, database_dir, outdir) + res = {"modules": modules, "regulons": regulons, "adjacencies": adjacencies, "motifs": motifs, "auc_mtx":auc_mtx, "regulons_df": regulons_df} - self.result[res_key] = res \ No newline at end of file + self.result[res_key] = res + diff --git a/stereo/plots/plot_collection.py b/stereo/plots/plot_collection.py index 31635682..212f0678 100644 --- a/stereo/plots/plot_collection.py +++ b/stereo/plots/plot_collection.py @@ -469,9 +469,9 @@ def hotspot_modules( self, res_key="spatial_hotspot", output=None, - ncols = 2, - dot_size = None, - palette = 'stereo', + ncols=2, + dot_size=None, + palette='stereo', ** kwargs ): res = self.check_res_key(res_key) @@ -498,53 +498,6 @@ def hotspot_modules( self.savefig(output,dpi=500) plt.show() - def hotspot_gene_modulescores( - self, - res_key="spatial_hotspot", - output=None, - n_top_genes=6, - module=1, - ncols = 2, - dot_size = None, - palette = 'stereo', - ** kwargs): - # Plot the module scores on top of positions - res = self.check_res_key(res_key) - results = res.results.join(res.modules) - results = results.loc[results.Module == module] - genes = results.sort_values('Z', ascending=False).head(n_top_genes).index - #expression = [np.log2(res.counts.loc[gene] / res.umi_counts * 45 + 1) for gene in genes] - - import matplotlib - cmap = matplotlib.colors.LinearSegmentedColormap.from_list( - 'grays', ['#DDDDDD', 'blue']) - fig, axs = plt.subplots(2, 3, figsize=(11, 7.5)) - for ax, gene in zip(axs.ravel(), genes): - expression = np.log2(res.counts.loc[gene] / res.umi_counts * 45 + 1) # log-counts per 45 (median UMI/barcode) - dot_size = 120000 / len(expression) if dot_size is None else dot_size - vmin = 0 - vmax = np.percentile(expression, 95) - vmax = 2 - plt.sca(ax) - plt.scatter(x=res.latent.iloc[:, 0], - y=res.latent.iloc[:, 1], - s=2, - c=expression, - vmin=vmin, - vmax=vmax, - edgecolors='none', - cmap=cmap - ) - for sp in ax.spines.values(): - sp.set_visible(False) - - plt.xticks([]) - plt.yticks([]) - plt.title(gene) - if output is not None: - self.savefig(output, dpi=500) - plt.show() - def scenic_regulons( self, res_key="scenic", diff --git a/stereo/plots/violin.py b/stereo/plots/violin.py index 67d33dbe..8427cf43 100644 --- a/stereo/plots/violin.py +++ b/stereo/plots/violin.py @@ -20,11 +20,11 @@ def violin_distribution(data): # 小提琴统计图 """ _, axs = plt.subplots(1, 3, figsize=(18, 4)) # plt.ylabel("total_counts") - seaborn.violinplot(y=data.cells.get_property('total counts'), ax=axs[0]) + seaborn.violinplot(y=data.cells.get_property('total_counts'), ax=axs[0]) # plt.ylabel("n_genes_by_counts") - seaborn.violinplot(y=data.cells.get_property('n genes by counts'), ax=axs[1]) + seaborn.violinplot(y=data.cells.get_property('n_genes_by_counts'), ax=axs[1]) # plt.ylabel("pct_counts_mt") - seaborn.violinplot(y=data.cells.get_property('pct counts mt'), ax=axs[2]) + seaborn.violinplot(y=data.cells.get_property('pct_counts_mt'), ax=axs[2]) axs[0].set_ylabel('total counts', fontsize=15) axs[1].set_ylabel('n genes by counts', fontsize=15) axs[2].set_ylabel('pct counts mt', fontsize=15) diff --git a/stereo/tools/cluster_new.py b/stereo/tools/cluster_new.py deleted file mode 100644 index 845aff61..00000000 --- a/stereo/tools/cluster_new.py +++ /dev/null @@ -1,232 +0,0 @@ -#!/usr/bin/env python3 -# coding: utf-8 -""" -@file: cluster.py -@description: -@author: Yiran Wu -@email: wuyiran@genomics.cn -@last modified by: Yiran - -change log: - 2021/09/07 create file. -""" -import numpy as np -import leidenalg -from ..core.tool_base import ToolBase -from ..log_manager import logger -from stereo.algorithm.neighbors import Neighbors -from .dim_reduce import DimReduce -import pandas as pd -from typing import Optional, Type -from ..plots.scatter import base_scatter, plt -from natsort import natsorted -from sklearn.metrics import pairwise_distances -from typing import Any, Mapping -from types import MappingProxyType -import phenograph - -try: - from leidenalg.VertexPartition import MutableVertexPartition -except ImportError: - - class MutableVertexPartition: - pass - - MutableVertexPartition.__module__ = 'leidenalg.VertexPartition' - - -class Cluster(ToolBase): - """ - clustering bin-cell using nearest neighbor algorithm. - - :param data: expression matrix, pd.Dataframe or StereoExpData object - :param method: louvain or leiden - :param pca_x: result of pca, if is None, will run DimReduce tool before clustering - :param n_neighbors: number of neighbors - :param normalization: normalize the expression matrix or not, will run normalization before pca dimension reduction - if pca_x is None and normalization is True. - - """ - def __init__( - self, - data=None, - pca_x: Optional[pd.DataFrame] = None, - method: str = 'louvain', - dim_reduce_method: str = 'pca', - neighbors_method: str = 'umap', - n_pcs: int = 40, - n_iter: int = 250, - n_neighbors: int = 10, - metric: Optional[str] = 'euclidean', - knn: bool = True, - min_dist: float = 0.3, - phenograpg_k: int = 20 - ): - super(Cluster, self).__init__(data=data, method=method) - self.n_neighbors = n_neighbors if n_neighbors < len(self.data.cell_names) else int(len(self.data.cell_names) / 2) - self.dim_reduce_method = dim_reduce_method - self.n_pcs = n_pcs - self.n_iter = n_iter - self.pca_x = pca_x - self.metric = metric - self.neighbors_method = neighbors_method - self.phenograph_k = phenograpg_k - self.knn = knn - self.min_dist = min_dist - self.nor_x = None - - @ToolBase.method.setter - def method(self, method): - m_range = ['leiden', 'louvain'] - self._method_check(method, m_range) - - def run_dim_reduce(self): - dim_reduce = DimReduce(self.data, method=self.dim_reduce_method, n_pcs=self.n_pcs, n_iter=self.n_iter, - n_neighbors=self.n_neighbors, min_dist=self.min_dist) - dim_reduce.fit(self.nor_x) - self.pca_x = dim_reduce.result - return self.pca_x - - def run_neighbors(self,): - """ - find neighbors - :return: neighbor object and neighbor cluster info - """ - # from stereo.algorithm.neighbors import get_indices_distances_from_dense_matrix - neighbor = Neighbors(self.pca_x, self.n_neighbors, self.n_pcs, self.metric, self.neighbors_method, self.knn) - neighbor.check_setting() - x = neighbor.choose_x() - use_dense_distances = (self.metric == 'euclidean' and x.shape[0] < 8192) or not self.knn - dists = x - if use_dense_distances: - print(x.shape) - dists = pairwise_distances(x, metric=self.metric,) - print(dists[0]) - knn_indices, knn_distances = neighbor.get_indices_distances_from_dense_matrix(dists) - if self.knn: - dists = neighbor.get_parse_distances_numpy( - knn_indices, knn_distances, x.shape[0], - ) - print(dists[0]) - print("s1") - else: - if x.shape[0] < 4096: - dists = pairwise_distances(x, metric=self.metric) - self.metric = 'precomputed' - knn_indices, knn_distances, forest = neighbor.compute_neighbors_umap(dists, ) - if not use_dense_distances or self.neighbors_method in {'umap'}: - connectivities = neighbor.get_connectivities_umap(knn_indices, knn_distances) - dists = neighbor.get_parse_distances_umap(knn_indices, knn_distances, ) - print("end") - print(dists[0]) - if self.neighbors_method == 'gauss': - connectivities = neighbor.compute_connectivities_diffmap(dists) - return neighbor, dists, connectivities - - def run_louvain(self, neighbor, nn_idx, nn_dist): - """ - louvain method - - :param neighbor: neighbor object - :param nn_idx: n neighbors's ids - :param nn_dist: n neighbors's data results - :return: - """ - g = neighbor.get_igraph_from_knn(nn_idx, nn_dist) - louvain_partition = g.community_multilevel(weights=g.es['weight'], return_levels=False) - clusters = np.arange(len(self.data.cell_names)) - for i in range(len(louvain_partition)): - clusters[louvain_partition[i]] = str(i) - return clusters - - def run_knn_leiden( - self, - neighbor, - adjacency=None, - directed: bool = True, - resolution: float = 1, - use_weights: bool = True, - random_state=0, - n_iterations: int = -1, - partition_type: Optional[Type[MutableVertexPartition]] = None, - **partition_kwargs, - ): - partition_kwargs = dict(partition_kwargs) - # convert it to igraph - g = neighbor.get_igraph_from_adjacency(adjacency, directed=directed) - # filp to the default partition type if not overriden by the user - if partition_type is None: - partition_type = leidenalg.RBConfigurationVertexPartition - if use_weights: - partition_kwargs['weights'] = np.array(g.es['weight']).astype(np.float64) - partition_kwargs['n_iterations'] = n_iterations - partition_kwargs['seed'] = random_state - if resolution is not None: - partition_kwargs['resolution_parameter'] = resolution - # clustering proper - part = leidenalg.find_partition(g, partition_type, **partition_kwargs) - # store output - groups = np.array(part.membership) - leiden_partition = groups - cluster = pd.Categorical( - values=groups.astype('U'), - categories=natsorted(map(str, np.unique(groups))), - ) - return cluster - - def run_phenograph(self, phenograph_k): - communities, _, _ = phenograph.cluster(self.pca_x.matrix, k=phenograph_k) - cluster = communities.astype(str) - return cluster - - def reset_dim_reduce_params(self, method, n_pcs, n_iter, n_neighbors, min_dist): - self.dim_reduce_method = method - self.n_pcs = n_pcs - self.n_iter = n_iter - self.min_dist = min_dist - self.neighbors = n_neighbors - - def reset_neighbors_params(self, method, n_pcs, n_neighbors, metric): - self.neighbors_method = method - self.n_pcs = n_pcs - self.metric = metric - self.neighbors = n_neighbors - - def fit(self): - """ - running and add results - """ - self.sparse2array() - #self.logger.info('start to run dim reduce...') - #self.run_dim_reduce() - #self.logger.info('start to run neighbors...') - neighbor, dists, connectivities = self.run_neighbors() - self.logger.info(f'start to run {self.method} cluster...') - if self.method == 'leiden': - cluster = self.run_knn_leiden(neighbor, adjacency=connectivities) - # elif self.method == 'phenograph': - # cluster = self.run_phenograph(self.phenograph_k) - # else: - # cluster = self.run_louvain(neighbor, nn_idx, nn_dist) - cluster = [str(i) for i in cluster] - info = {'bins': self.data.cell_names, 'cluster': cluster} - df = pd.DataFrame(info) - self.result.matrix = df - self.logger.info('finish...') - return df - - def plot_scatter(self, plot_dim_reduce=False, file_path=None): - """ - plot scatter after - :param plot_dim_reduce: plot cluster after dimension reduce if true - :param file_path: - :return: - """ - if plot_dim_reduce: - base_scatter(self.pca_x.values[:, 0], self.pca_x.values[:, 1], - hue=np.array(self.result.matrix['cluster'])) - else: - base_scatter(self.data.position[:, 0], self.data.position[:, 1], - hue=np.array(self.result.matrix['cluster'])) - if file_path: - plt.savefig(file_path) From a9c6fa9245da14c77db98b7d0bf0ff63b42d42d0 Mon Sep 17 00:00:00 2001 From: molindoudou Date: Wed, 17 Nov 2021 09:57:57 +0800 Subject: [PATCH 43/61] add docs about poly edit --- .../Tutorials/interactive_cluster.ipynb | 1702 ++++++++++++++++- 1 file changed, 1635 insertions(+), 67 deletions(-) diff --git a/docs/source/Tutorials/interactive_cluster.ipynb b/docs/source/Tutorials/interactive_cluster.ipynb index 28a5deb3..bb656018 100644 --- a/docs/source/Tutorials/interactive_cluster.ipynb +++ b/docs/source/Tutorials/interactive_cluster.ipynb @@ -46,8 +46,8 @@ "id": "c180fe3c", "metadata": { "ExecuteTime": { - 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*/\\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(\".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(\".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(\".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(\".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(\"\\n .bk.pn-loading.arcs:before {\\n background-image: 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 === \"function\" && require\n", + " return (function(modules, entry, aliases, externals) {\n", + " if (aliases === undefined) aliases = {};\n", + " if (externals === undefined) externals = {};\n", + "\n", + " var cache = {};\n", + "\n", + " var normalize = function(name) {\n", + " if (typeof name === \"number\")\n", + " return name;\n", + "\n", + " if (name === \"bokehjs\")\n", + " return entry;\n", + "\n", + " if (!externals[name]) {\n", + " var prefix = \"@bokehjs/\"\n", + " if (name.slice(0, prefix.length) === prefix)\n", + " name = name.slice(prefix.length)\n", + " }\n", + "\n", + " var alias = aliases[name]\n", + " if (alias != null)\n", + " return alias;\n", + "\n", + " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", + " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", + " if (index != null)\n", + " return index;\n", + "\n", + " return name;\n", + " }\n", + "\n", + " var require = function(name) {\n", + " var mod = cache[name];\n", + " if (!mod) {\n", + " var id = normalize(name);\n", + "\n", + " mod = cache[id];\n", + " if (!mod) {\n", + " if (!modules[id]) {\n", + " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", + " try {\n", + " mod = {exports: externals[id] ? parent_require(id) : {}};\n", + " cache[id] = cache[name] = mod;\n", + " return mod.exports;\n", + " } catch (e) {}\n", + " }\n", + "\n", + " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", + " err.code = 'MODULE_NOT_FOUND';\n", + " throw err;\n", + " }\n", + "\n", + " mod = {exports: {}};\n", + " cache[id] = cache[name] = mod;\n", + "\n", + " function __esModule() {\n", + " Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n", + " }\n", + "\n", + " function __esExport(name, value) {\n", + " Object.defineProperty(mod.exports, name, {\n", + " enumerable: true, get: function () { return value; }\n", + " });\n", + " }\n", + "\n", + " modules[id].call(mod.exports, require, mod, mod.exports, 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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: ${e}`),!m.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new j.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof k.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${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. 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1-(.299*n+.587*t+.114*r)/255>=.6}},\n", + " function 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r{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=a,a.__name__=\"DocumentEventBatch\";class d extends r{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class l extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}[i.serialize](e){const t=this.msg_data,s=e.to_serializable(t);return{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=l,l.__name__=\"MessageSentEvent\";class _ extends d{constructor(e,t,s,n,o,i,r){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=i,this.hint=r}[i.serialize](e){if(null!=this.hint)return e.to_serializable(this.hint);const t=this.new_,s=e.to_serializable(t);return this.model!=t&&e.remove_def(this.model),{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=_,_.__name__=\"ModelChangedEvent\";class c extends 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;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];ei.x1&&(i.x1=o),si.y1&&(i.y1=d)}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,o,n){o();const a=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),x=a.__importStar(t(48)),y=t(9),k=t(221),C=t(222),z=t(225),j=t(140),B=t(11),L=t(122),S=t(99),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})}B.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;B.unreachable()})(),this._minor_range=new b.Range1d({start:0,end:1}),this._minor_scale=new w.LinearScale;const o=x.attrs_of(this.model,\"major_label_\",x.Text,!0),n=x.attrs_of(this.model,\"major_tick_\",x.Line,!0),a=x.attrs_of(this.model,\"minor_tick_\",x.Line,!0),r=x.attrs_of(this.model,\"title_\",x.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},o),n),a));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 L.build_view(this._axis,{parent:e}),null!=this._title&&(this._title_view=await L.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:o}=i.metrics;t.setv({start:e,end:o})}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?y.reversed(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new f.LinearColorMapper({palette:e}).rgba_mapper.v_compute(y.range(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!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\"==a?\"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 z.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:o,right:o,top:o,bottom:o},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 w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new S.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new S.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new S.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new S.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new S.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new S.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new S.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,B,L;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,B=void 0,L=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,B={percent:.3},L={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:B,max_width:L,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:B,max_height:L,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:T}=this;null!=T&&(\"horizontal\"==s?(T.panel=new j.Panel(\"above\"),T.update_layout(),c.children.push(T.layout)):(T.panel=new j.Panel(\"left\"),T.update_layout(),u.children.push(T.layout)));const{panel:A}=this,O=null!=A&&s==A.orientation?A.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new j.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new k.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=a.__rest(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=T,T.__name__=\"ColorBarView\";class A extends r.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=T,this.mixins([[\"major_label_\",x.Text],[\"title_\",x.Text],[\"major_tick_\",x.Line],[\"minor_tick_\",x.Line],[\"border_\",x.Line],[\"bar_\",x.Line],[\"background_\",x.Fill]]),this.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(v.Anchor,o(e,e)),\"top_right\"],orientation:[a(v.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(c.Ticker),s),\"auto\"],formatter:[a(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=A,A.__name__=\"ColorBar\",A.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){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(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=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0: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,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"ÅŚg|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};a.unreachable()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};a.unreachable()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", + " function _(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.visuals=this.visuals.axis_label_text,o.angle=this.panel.get_label_angle_heuristic(\"parallel\"),o.base_font_size=this.plot_view.base_font_size;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())),T=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,A=O.filter(v,z,T),M=[...A.ones()];if(0!=M.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sx:o.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sy:o.sy-s})}},s=M[0],o=M[M.length-1];0==this.dimension?(e(s),e(o)):(i(s),i(o))}for(const e of A){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,t.base_font_size=this.plot_view.base_font_size;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),a=t(9),r=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,this._base_font_size=13}set base_font_size(t){this._base_font_size=t}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),a=Math.max(t.x,e.x,s.x,i.x),r=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:a,top:o,bottom:r})}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:a,base_font_size:r}=this,c=o.parse_css_font_size(n);if(null!=c){let{value:t,unit:e}=c;t*=a,\"em\"==e&&r&&(t*=r,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,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,r=\"\"==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:a.max(l)*u,height:r?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:a=\"left\",y_anchor:c=\"center\"}=this.position;return{x:h-(()=>{if(r.isNumber(a))return a*i;switch(a){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if(r.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),r=(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,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=a.max(l)*p,d=(u+r*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:v}=this;v&&(t.translate(b,m),t.rotate(v),t.translate(-b,-m));let{x:w,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=w;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>s.text_width(t,n))),l=(g-a.sum(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+r}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=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(r.isNumber(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if(r.isNumber(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=a.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(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:r.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class f extends o.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static 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e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(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,t,e,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:t}=this,{start:e,end:r}=this.source_range,i=e,a=r,c=t.length,l=(r-e)/(c-1),s=new Float64Array(c);for(let n=0;n{if(na)return a;const e=o.left_edge_index(n,t);if(-1==e)return i;if(e>=c-1)return a;const r=t[e],l=(n-r)/(t[e+1]-r),u=s[e];return u+l*(s[e+1]-u)}));return this._linear_v_compute(u)}invert(n){return n}v_invert(n){return new Float64Array(n)}}e.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=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", + " function _(e,t,s,n,i){n();const a=e(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:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new p(_,this)}__parseFont(){var t,e,i,s,n;const r=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),a={style:null!==(t=r[1])&&void 0!==t?t:\"normal\",size:null!==(e=r[4])&&void 0!==e?e:\"10px\",family:null!==(i=r[6])&&void 0!==i?i:\"sans-serif\",weight:null!==(s=r[3])&&void 0!==s?s:\"normal\",decoration:null!==(n=r[2])&&void 0!==n?n:\"normal\"};return\"underline\"===this.__fontUnderline&&(a.decoration=\"underline\"),null!=this.__fontHref&&(a.href=this.__fontHref),a}__wrapTextLink(t,e){if(t.href){const i=this.__createElement(\"a\");return i.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),i.appendChild(e),i}return e}__applyText(t,e,i,s){const 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 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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),_=r.__importStar(t(18));class d 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:w}=t,x=this.renderer.xscale.invert(c),p=this.renderer.yscale.invert(w);\"data\"==this.model.properties.width.units?(s=x-this.max_width,i=x+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):(_=w-this.max_height,d=w+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,w,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],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),c=new Array(a),w=new Array(a);o>1?(c[r]=d,w[r]=d/o):(c[r]=d*o,w[r]=d);const x=new _.UniformScalar(0,a);this._render(t,[r],{sx:n,sy:l,sw:c,sh:w,angle:x})}}i.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends a.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=c,c.__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(143),c=t(122),u=t(240),m=t(221),p=t(44),g=t(249);class f extends u.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=d.parse_css_font_size(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return 13}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 c.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(p.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(),a=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(a>0||r>0)return{width:a>0?a:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new g.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class w 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),u=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,u)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[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=w,w.__name__=\"LayoutDOM\",w.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,l){i();const h=e(1),a=e(221),o=e(43),r=e(9),c=e(10),d=e(20),n=e(319),_=e(323),p=h.__importStar(e(327)),b=p,u=h.__importStar(e(328)),m=u,g=h.__importStar(e(243)),v=g;class w extends n.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,g.default,p.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 a.ContentBox{_measure(e){const l=o.size(s),h=o.children(i).slice(0,3).map((e=>o.size(e))),{width:a,height:c}=super._measure(e);if(t){const t=l.width+r.sum(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:c}}{const t=l.height+r.sum(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const c={layout:this.header,row:l,col:h},d=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new a.Grid([c,...d]),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.do_scroll(this.model.active)):(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.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",o.undisplay(this.scroll_el))}const{child_views:l}=this;for(const e of l)o.hide(e.el);const h=l[this.model.active];null!=h&&o.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=o.div({class:[b.tab,s==e?b.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=o.div({class:b.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=r.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return i}));this.headers_el=o.div({class:[b.headers]},t),this.wrapper_el=o.div({class:b.headers_wrapper},this.headers_el),this.left_el=o.div({class:[m.btn,m.btn_default],disabled:\"\"},o.div({class:[v.caret,b.left]})),this.right_el=o.div({class:[m.btn,m.btn_default]},o.div({class:[v.caret,b.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=o.div({class:m.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=o.div({class:[b.tabs_header,b[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=c.clamp(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=o.children(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-r.sum(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-r.sum(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=o.children(this.headers_el);for(const e of t)e.classList.remove(b.active);t[e].classList.add(b.active);const{child_views:s}=this;for(const e of s)o.hide(e.el);o.show(s[e].el)}}s.TabsView=w,w.__name__=\"TabsView\";class f extends n.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=w,this.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(_.Panel)),[]],tabs_location:[d.Location,\"above\"],active:[e,0]})))}}s.Tabs=f,f.__name__=\"Tabs\",f.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\"], \"2.3.3\");\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", + " 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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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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init_Paragraph(){this.prototype.default_view=n}}e.Paragraph=_,_.__name__=\"Paragraph\",_.init_Paragraph()},\n", + " 450: function _(s,t,e,n,r){n();const p=s(424);class u extends p.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}e.PasswordInputView=u,u.__name__=\"PasswordInputView\";class a extends p.TextInput{constructor(s){super(s)}static init_PasswordInput(){this.prototype.default_view=u}}e.PasswordInput=a,a.__name__=\"PasswordInput\",a.init_PasswordInput()},\n", + " 451: function _(e,t,i,l,s){l();const o=e(1),n=o.__importDefault(e(452)),h=e(43),a=e(8),u=e(224),c=o.__importStar(e(427)),d=o.__importDefault(e(453)),_=e(426);class r extends _.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\"], \"2.3.3\");\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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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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