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z=sR-GeZVuzPEKC-#Pls6%scAav_#f`nP=VKOvnF)qZ_M#X#RBct3ZNT*YV*H8q%s zn%hXMC~<@Pz%lN27BSRyf$`_{InK0+xBtjnmUJjn3Nugn+dZAu-kxXCYnJZ!Jw8O{ zuH{KeX1#2qTx7>SIOkr?3;2tFizV%b7p#YbN_Qrw=Q-91!aburFq5L5-P`FI3piMH zD(G=Mqu1n8I~epszcbwh$$c(8YLL|Y;u~d1I;Uhpf{sA_A1=$3S|y9$W!oFEAs^fi Ld%4tN&)oPoO#aGh literal 0 HcmV?d00001 diff --git a/_sources/downloads.rst.txt b/_sources/downloads.rst.txt new file mode 100644 index 0000000..c31c9de --- /dev/null +++ b/_sources/downloads.rst.txt @@ -0,0 +1,16 @@ +Downloads +========= + +Code and data to reproduce results of the paper +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +* Data in `figshare `_ and details in `scDRS_paper `_. +* `Weighted GWAS gene sets `_ (**.gs** files) for 74 diseases and complex traits. +* `scDRS results using weighted gene sets `_ (**.score.gz** and **.full_score.gz** files) for TMS FACS + 74 diseases/traits (latest in revision 1). + + +Other versions +~~~~~~~~~~~~~~ + +* `Binary GWAS gene sets `_ (**.gs** files) for 74 diseases and complex traits (used in initial submission). +* `scDRS results using binary gene sets `_ (**.score.gz** and **.full_score.gz** files) for TMS FACS + 74 diseases/traits (initial submission). \ No newline at end of file diff --git a/_sources/faq.rst.txt b/_sources/faq.rst.txt new file mode 100644 index 0000000..b370e30 --- /dev/null +++ b/_sources/faq.rst.txt @@ -0,0 +1,93 @@ +FAQ +################################ + +Here are some frequently asked questions about scDRS. + + +Typical scDRS workflow +====================== + +1. Create scDRS gene set file (:code:`.gs`) from GWAS + + a. Generate gene-level p-values/z-scores for a given trait (pval_file/zscore_file) using `MAGMA `_ from GWAS summary statistics. + b. Create :code:`.gs` file from pval_file/zscore_file using scDRS CLI :code:`scdrs munge-gs`. + +2. Compute scDRS individual cell-level results. + + a. Use scDRS CLI :code:`scdrs compute-score` + b. Inputs: scDRS gene set file (:code:`.gs`), scRNA-seq data (:code:`.h5ad`), covariates (:code:`.cov`). + c. Outputs: scDRS score file (:code:`.score.gz`), scDRS full score file (:code:`.full_score.gz`). + +3. Perform scDRS downstream cell-group analyses. + + a. Use scDRS CLI :code:`scdrs perform-downstream` for a) cell group-trait association, b) within-cell group association heterogeneity, c) correlating scDRS disease score with a cell variable, d) correlating scDRS disease score with gene expression. + b. Use customized code for other analyses: + + i. Compute a test statistic using the normalized disease score across a given set of cells. + ii. Compute the same test statistic using each of the :code:`n_ctrl` sets of normalized control scores across the same given set of cells. + iii. MC-pvalue = :code:`(# of control statistics exceeding disease statistic) / (n_ctrl+1)` + b. Input: scDRS full score file (:code:`.full_score.gz`), cell annotations stored in :code:`adata.obs` of scRNA-seq :code:`.h5ad` file. + c. Output: test statistics/p-values based on the scDRS MC tests. + + +Which GWAS and scRNA-seq data to use? +====================================================== + +To ensure a reasonable number of scDRS discoveries, we recommend using GWAS data with a heritability z-score greater than 5 or a sample size greater than 100K. We also recommend using scRNA-seq data with a diverse set of cells potentially relevant to disease, although a smaller number of cells should not affect the scDRS power. + + +How to create MAGMA gene sets? +============================== + +Please see the `instructions `_ + + +Use scDRS for other gene sets? +===================================== + +Yes, you can use other gene sets instead of GWAS gene sets with scDRS to identify cells in scRNA-seq with excess expression of genes in the gene set. + + +Requirement of gene set size? +======================================== + +The gene set should have a moderate size (e.g., >50 genes and <20% of all genes) for the scDRS results to be statistically valid. In practice, we observe a reasonable performance as long as the gene set size is >=10. Please see details in Methods in Zhang & Hou et al. Nat Genet 2022. + + +Computational complexity? +==================================== + +scDRS scales linearly with the number of cells and number of control gene sets for both computation and memory use. It takes around 3 hours and 60GB for a single-cell data set with a million cells). Please see details in Methods in Zhang & Hou et al. Nat Genet 2022. + + +scDRS detected few significant cells (FDR<0.2)? +================================================== + +scDRS may be underpowered for certain GWAS/scRNA-seq data sets. In these cases, the ensuing scDRS group analyses may still have sufficient power, because scDRS group analyses aggregate results of individual cells and hence have higher power than the scDRS individual cell-level analyses. To assess if scDRS has sufficient power, we suggest performing the `scDRS group analyses `_ to assess significance at an aggregated level. In addition, it is helpful to visually inspect the scDRS normalized disease score on the UMAP plot. Localized enrichments of high scDRS disease scores on the UMAP usually indicate that scDRS have detected interesting biological signals. + + +MC z-scores are much more significant than MC p-values in group analysis due to the MC limit? +=========================================================================================== + +Increasing :code:`--n-ctrl` in `compute-score` will produce more control scores, which will be used in the group analysis to increase the number of MC samples for MC tests. Alternatively, you can compute a p-value from assoc_mcz when assoc_mcp is reasonably small. As mentioned in the Methods section of our manuscript: "We recommend using MC P values to determine statistical significance and using MC z-scores to further prioritize associations whose MC P values have reached the MC limit. " + + +Use scDRS for other types of single-cell data? +==================================================== + +scDRS is tailored for scRNA-seq. Best practices for using scDRS on other data types and systematic comparisons with alternative methods remain interesting future directions. + +We empirically observed that scDRS works for other types of RNA-seq data like spatial transcriptomics. + +We empirically observed that scDRS works for single-cell DNA methylation data. + +scDRS should work for single-cell ATAC-seq in principle, although you may need some customized Python codes. To do this, + +1. Right after calling :code:`scdrs.preprocess`, create a categorical :code:`adata.obs['atac_match']` for your control gene matching criteria by dividing features (genes/peaks) into discrete bins. We recommend >20 features per bin. We recommend matching for mean accessibility and GC contents, as done in `gchromVAR `_. +2. When calling :code:`scdrs.score_cell`, tell scDRS to use this matching criteria by :code:`ctrl_match_key='atac_match'`. + +Relevant works for individual cell-level associations for scATAC-seq: `Ulirsch et al. Nat Genet 2019 `_, `Chiou et al. Nat Genet 2021 `_, `Yu et al. Nat Biotechnol 2022 `_. + + + + diff --git a/_sources/file_format.rst.txt b/_sources/file_format.rst.txt new file mode 100644 index 0000000..8611465 --- /dev/null +++ b/_sources/file_format.rst.txt @@ -0,0 +1,165 @@ +File formats +============ + +.sumstats +~~~~~~~~~ +GWAS summary statistics following the `LDSC format `_. + +.. csv-table:: Example .sumstats file + :header: "GENE", "BMI", "HEIGHT" + :delim: space + + SNP A1 A2 N CHISQ Z + rs7899632 A G 59957 3.4299 -1.852 + rs3750595 A C 59957 3.3124 1.82 + +.h5ad +~~~~~ + +Single-cell data :code:`.h5ad` file as defined in `AnnData `_ and `Scanpy `_. + + +pval_file,zscore_file +~~~~~~~~~~~~~~~~~~~~~ +GWAS gene-level p-values / z-scores for different traits. A :code:`.tsv` file with first column corresponding to genes and other columns corresponding to p-values / z-scores of traits (one trait per column). + +.. csv-table:: Example pval_file + :header: "GENE", "BMI", "HEIGHT" + :delim: space + + OR4F5 0.001 0.01 + DAZ3 0.01 0.001 + +.gs +~~~~ + +scDRS gene set file. A :code:`.tsv` file with two columns :code:`["TRAIT", "GENESET"]` and one line per trait. Can be generated using customized code or from p-value or z-score files using scDRS CLI :code:`scdrs munge-gs`. + +TRAIT + Trait (gene set) identifier. +GENESET + Comma-separated list of gene-weight pairs with the form "gene1\:weight1,gene2\:weight2,..." + or "gene1,gene2,..." (meaning weights are 1). + + +.. csv-table:: Example weighted .gs file + :header: "TRAIT", "GENESET" + :delim: space + :align: center + :width: 50% + + PASS_HbA1C FN3KRP:1.2,FN3K:2.3,HK1:4.7,GCK:5.2 + PASS_MedicationUse_Wu2019 FTO:3,SEC16B:0.6,ADCY3:1.5,DNAJC27:1.3 + +.. csv-table:: Example unweighted .gs file + :header: "TRAIT", "GENESET" + :delim: space + :align: center + :width: 50% + + PASS_HbA1C FN3KRP,FN3K,HK1,GCK + PASS_MedicationUse_Wu2019 FTO,SEC16B,ADCY3,DNAJC27 + + +.cov +~~~~ + +scDRS covariate file for the :code:`.h5ad` single-cell data. :code:`.tsv` file. + +- First column: cell names, consistent with :code:`adata.obs_names`. +- Other comlumns: covariates with numerical values. + +.. csv-table:: Example .cov file + :header: "index", "const", "n_genes", "sex_male", "age" + :align: center + :width: 50% + + A10_B000497_B009023_S10, 1, 2706, 1, 18 + A10_B000497_B009023_S10, 1, 2501, 0, 24 + + +.score.gz +~~~~~~~~~~~~~~~~ + +scDRS score file for a give trait. :code:`.tsv.gz` file. + +- First column: cell names, should be the same as :code:`adata.obs_names`. +- raw_score: raw disease score. +- norm_score: normalized disease score. +- mc_pval: cell-level MC p-value. Raw p-value without multiple testing adjustment. +- pval: cell-level scDRS p-value. Raw p-value without multiple testing adjustment. +- nlog10_pval: -log10(pval). +- zscore: z-score converted from pval. + +.. csv-table:: Example .score.gz file + :header: "index", "raw_score", "norm_score", "mc_pval", "pval", "nlog10_pval", "zscore" + + A10_B000497_B009023_S10, 0.730, 7.04, 0.0476, 0.00166, 2.78, 2.94 + A10_B000756_B007446_S10, 0.725, 7.30, 0.0476, 0.00166, 2.78, 2.94 + + +.full_score.gz +~~~~~~~~~~~~~~~~~~~~~ + +scDRS full score file for a give trait. :code:`.tsv.gz` file. + +- All columns of :code:`{trait}.score.gz` file. +- ctrl_raw_score_ : raw control scores, specified by :code:`--flag_return_ctrl_raw_score True`. +- ctrl_norm_score_ : normalized control scores, specified by :code:`--flag_return_ctrl_norm_score True`. + + +.scdrs_group. +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Results for scDRS group-level analysis for a give trait and a given cell-group annotation (e.g., cell type). :code:`.tsv` file. + +- : trait name consistent with :code:`.full_score.gz` file. +- : cell-annotation in :code:`adata.obs.columns`, specified by :code:`group_analysis` in CLI. +- First column: different cell groups in :code:`adata.obs[]`. +- n_cell: number of cells from the cell group. +- n_ctrl: number of control gene sets. +- assoc_mcp: MC p-value for cell group-disease association. Raw p-value without multiple testing adjustment. +- assoc_mcz: MC z-score for cell group-disease association. +- hetero_mcp: MC p-value for within-cell group heterogeneity in association with disease. Raw p-value without multiple testing adjustment. +- hetero_mcz: MC z-score for within-cell group heterogeneity in association with disease. + +.. csv-table:: Example .scdrs_group. file + :header: "", "n_cell", "n_ctrl", "assoc_mcp", "assoc_mcz", "hetero_mcp", "hetero_mcz" + + causal_cell , 10.0, 20.0, 0.04761905, 12.297529 , 1.0, 1.0 + non_causal_cell, 20.0, 20.0, 0.9047619 , -1.1364214, 1.0, 1.0 + + +.scdrs_cell_corr +~~~~~~~~~~~~~~~~~~~~~~~ + +Results for scDRS cell-level correlation analysis for a given trait. :code:`.tsv` file. + +- : trait name consistent with :code:`.full_score.gz` file. +- First column: all cell-level variables, specified by specified by :code:`corr_analysis` in CLI. +- n_ctrl: number of control gene sets. +- corr_mcp: MC p-value for cell-level variable association with disease. Raw p-value without multiple testing adjustment. +- corr_mcz: MC z-score for cell-level variable association with disease. + +.. csv-table:: Example .scdrs_cell_corr file + :header: "", "n_cell", "corr_mcp", "corr_mcz" + + causal_variable , 20.0, 0.04761905, 3.4574268 + non_causal_variable, 20.0, 0.23809524, 0.8974108 + covariate , 20.0, 0.1904762 , 1.1220891 + +.scdrs_gene +~~~~~~~~~~~~~~~~~~ + +Results for scDRS gene-level correlation analysis for a given trait. :code:`.tsv` file. + +- : trait name consistent with :code:`.full_score.gz` file. +- First column: genes in :code:`adata.var_names`. +- CORR: correlation with scDRS disease score across all cells in :code:`adata`. +- RANK: rank of correlation across genes (starting from 0). + +.. csv-table:: Example .scdrs_gene file + :header: "index", "CORR", "RANK" + + Serping1, 0.314, 0 + Lmna , 0.278, 1 \ No newline at end of file diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt new file mode 100644 index 0000000..25facd2 --- /dev/null +++ b/_sources/index.rst.txt @@ -0,0 +1,115 @@ +scDRS +===== + +scDRS (single-cell disease-relevance score) is a method for associating individual cells in scRNA-seq data with disease GWASs, built on top of `AnnData `_ and `Scanpy `_. + +Check out our manuscript `Zhang*, Hou*, et al. "Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data `_. + +Explore results for 74 diseases/traits and the TMS FACS data on `cellxgene `_. + + +Installation +============ + +.. code-block:: bash + + git clone https://github.com/martinjzhang/scDRS.git + cd scDRS + pip install -e . + +Quick test: + +.. code-block:: bash + + python -m pytest tests/test_CLI.py -p no:warnings + +Install via `PyPI `_ + +.. code-block:: bash + + pip install scdrs==1.0.2 + +Quick test for PyPI installation: open Python (>=3.5) and run the code in the Usage section below. + +`Install other versions `_ + + +Usage +===== + +Use `scDRS command-line interface (CLI) `_ for standard analyses. + +Use `scDRS Python API `_ for customized analyses. + +Here is a toy example for computing scDRS scores. + +.. code-block:: python + + import os + import pandas as pd + import scdrs + + DATA_PATH = scdrs.__path__[0] + H5AD_FILE = os.path.join(DATA_PATH, "data/toydata_mouse.h5ad") + COV_FILE = os.path.join(DATA_PATH, "data/toydata_mouse.cov") + GS_FILE = os.path.join(DATA_PATH, "data/toydata_mouse.gs") + + # Load .h5ad file, .cov file, and .gs file + adata = scdrs.util.load_h5ad(H5AD_FILE, flag_filter_data=False, flag_raw_count=False) + df_cov = pd.read_csv(COV_FILE, sep="\t", index_col=0) + df_gs = scdrs.util.load_gs(GS_FILE) + + # Preproecssing .h5ad data compute scDRS score + scdrs.preprocess(adata, cov=df_cov) + gene_list = df_gs['toydata_gs_mouse'][0] + gene_weight = df_gs['toydata_gs_mouse'][1] + df_res = scdrs.score_cell(adata, gene_list, gene_weight=gene_weight, n_ctrl=20) + + print(df_res.iloc[:4]) + +Expected results: + +.. csv-table:: + :header: "index", "raw_score", "norm_score", "mc_pval", "pval", "nlog10_pval", "zscore" + + N1.MAA000586.3_8_M.1.1-1-1 , 4.741197 , 6.3260064 , 0.04761905, 0.0016638935, 2.7788744 , 2.9357162 + F10.D041911.3_8_M.1.1-1-1 , 4.739066 , 5.916272 , 0.04761905, 0.0016638935, 2.7788744 , 2.9357162 + A17_B002755_B007347_S17.mm10-plus-7-0 , 4.6366262, 5.5523157 , 0.04761905, 0.0016638935, 2.7788744 , 2.9357162 + C22_B003856_S298_L004.mus-2-0-1 , 4.6805663, 7.2986684 , 0.04761905, 0.0016638935, 2.7788744 , 2.9357162 + G12.B002765.3_38_F.1.1-1-1 , 4.640043 , 5.7792473 , 0.04761905, 0.0016638935, 2.7788744 , 2.9357162 + H5.B003278.3_38_F.1.1-1-1 , 4.4457436, -0.5613674, 0.7619048 , 0.687188 , 0.16292442 , -0.48789537 + O14.MAA000570.3_8_M.1.1-1-1 , 4.4552336, -1.5821338, 0.95238096, 0.9467554 , 0.023762206 , -1.6141763 + J21.B000634.3_56_F.1.1-1-1 , 4.4433637, -2.3119287, 1.0 , 0.9916805 , 0.0036282123, -2.3945906 + E5.B002765.3_38_F.1.1-1-1 , 4.4870768, 1.1566308 , 0.23809524, 0.13311148 , 0.87578446 , 1.1118028 + K20_B000268_B009896_S260.mm10-plus-4-0, 4.53548 , -3.1656132, 1.0 , 1.0 , -0.0 , -10.0 + +Examples +======== +- `Tutorial on a mouse Cortex data set. `_ +- Coming soon + + +.. Citation + ======== + If scDRS is useful for your research, consider citing: + + **Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data** + + + + *BioRxiv* 2021. + + +.. toctree:: + :maxdepth: 2 + :hidden: + + reference_cli + reference + file_format + faq + versions + notebooks/quickstart.ipynb + downloads + + diff --git a/_sources/notebooks/quickstart.ipynb.txt b/_sources/notebooks/quickstart.ipynb.txt new file mode 100644 index 0000000..d949151 --- /dev/null +++ b/_sources/notebooks/quickstart.ipynb.txt @@ -0,0 +1,801 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Quick start\n", + "\n", + "In this tutorial, we will show case main features of scDRS using the [Zeisel & Muñoz-Manchado et al. 2015](http://linnarssonlab.org/cortex/) cortex data set.\n", + "\n", + "We have preprocessed the scRNA-seq data set and disease gene sets (which are used in our manuscript). Alternatively you can use the [processing script](process_zeisel2015.py) to obtain the scRNA-seq data sets from scratch.\n", + "\n", + "Going through this notebook will take ~10 minutes. We suggest user to copy and run this notebook locally to get familar with scDRS analysis and use this as a template for their own analysis. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparing data sets" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "\n", + "# download precomputed data\n", + "# see above for processing code\n", + "!wget https://figshare.com/ndownloader/files/34300925 -O data.zip\n", + "!unzip data.zip && \\\n", + " mkdir -p data/ && \\\n", + " mv single_cell_data/zeisel_2015/* data/ && \\\n", + " rm data.zip && rm -r single_cell_data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import scdrs\n", + "import scanpy as sc\n", + "sc.set_figure_params(dpi=125)\n", + "from anndata import AnnData\n", + "from scipy import stats\n", + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import os\n", + "import warnings\n", + "\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For demonstration purpose, we use the following 3 gene sets: \n", + "\n", + "1. `SCZ`: Schizophrenia (SCZ) gene sets obtained from GWAS summary statistics, which is the disease of interest in this demo.\n", + "2. `Dorsal`: Differentially expressed genes in dorsal CA1 pyramidal obtained from [Cembrowski et al. 2016](https://www.sciencedirect.com/science/article/pii/S0896627315010867), which we will used to construct dorsal score indicating the proximity to the dorsal CA1, which we find useful to understand the spatial distribution of SCZ disease enrichment.\n", + "3. `Height`: Height gene sets obtained from GWAS summary statistics, which we use as a negative control trait.\n", + "\n", + "We load these data in the following block:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

" + ], + "text/plain": [ + " GENESET\n", + "TRAIT \n", + "SCZ Dpyd:7.6519,Cacna1i:7.4766,Rbfox1:7.3247,Ppp1r...\n", + "Dorsal Ckb,Fndc5,Lin7b,Gstm7,Tle1,Cabp7,Etv5,Actn1,Sa...\n", + "Height Wwox:10,Bnc2:10,Gmds:10,Lpp:9.9916,Prkg1:9.836..." + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load adata\n", + "adata = sc.read_h5ad(\"data/expr.h5ad\")\n", + "\n", + "# subset gene sets\n", + "df_gs = pd.read_csv(\"data/geneset.gs\", sep=\"\\t\", index_col=0)\n", + "\n", + "df_gs = df_gs.loc[\n", + " [\n", + " \"PASS_Schizophrenia_Pardinas2018\",\n", + " \"spatial_dorsal\",\n", + " \"UKB_460K.body_HEIGHTz\",\n", + " ],\n", + " :,\n", + "].rename(\n", + " {\n", + " \"PASS_Schizophrenia_Pardinas2018\": \"SCZ\",\n", + " \"spatial_dorsal\": \"Dorsal\",\n", + " \"UKB_460K.body_HEIGHTz\": \"Height\",\n", + " }\n", + ")\n", + "display(df_gs)\n", + "\n", + "df_gs.to_csv(\"data/processed_geneset.gs\", sep=\"\\t\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# `scDRS` analysis of disease enrichment for individual cells \n", + "\n", + "We use `scdrs compute-score` cli to evaluate disease enrichment to individual cells." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "\n", + "!scdrs compute-score \\\n", + " --h5ad-file data/expr.h5ad \\\n", + " --h5ad-species mouse \\\n", + " --gs-file data/processed_geneset.gs \\\n", + " --gs-species mouse \\\n", + " --cov-file data/cov.tsv \\\n", + " --flag-filter-data True \\\n", + " --flag-raw-count True \\\n", + " --flag-return-ctrl-raw-score False \\\n", + " --flag-return-ctrl-norm-score True \\\n", + " --out-folder data/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For an overview of `scDRS` results, we overlay the computed `scDRS` disease scores on the UMAP." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dict_score = {\n", + " trait: pd.read_csv(f\"data/{trait}.full_score.gz\", sep=\"\\t\", index_col=0)\n", + " for trait in df_gs.index\n", + "}\n", + "\n", + "for trait in dict_score:\n", + " adata.obs[trait] = dict_score[trait][\"norm_score\"]\n", + "\n", + "sc.set_figure_params(figsize=[2.5, 2.5], dpi=150)\n", + "sc.pl.umap(\n", + " adata,\n", + " color=\"level1class\",\n", + " ncols=1,\n", + " color_map=\"RdBu_r\",\n", + " vmin=-5,\n", + " vmax=5,\n", + ")\n", + "\n", + "sc.pl.umap(\n", + " adata,\n", + " color=dict_score.keys(),\n", + " color_map=\"RdBu_r\",\n", + " vmin=-5,\n", + " vmax=5,\n", + " s=20,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We highlight several visual observations:\n", + "\n", + "1. In the SCZ panel, CA1 pyramidal neurons shows some disease enrichments. \n", + "2. In the Dorsal panel, within the CA pyramidal neurons, we observe left-to-right gradient of Dorsal score, which indicates that cells on the right of the UMAP are enriched in dorsal area of CA1.\n", + "3. Combining SCZ and Dorsal panels, we may hypothesize that SCZ is enriched in dorsal part of CA1.\n", + "4. Height, as a negative control, shows little signal.\n", + "\n", + "Before we dive into detailed analyses, it is helpful to first leverage existing annotations in the data set to understand the data. \n", + "\n", + "We use the `level1class` annotation provided in Zeisel & Muñoz-Manchado et al. 2015 to first perform a cell type level analyses." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# `scDRS` test of group level statistics\n", + "\n", + "We use `scdrs perform-downstream` to obtain the group-level statistics. The function will return the following statistics for each cell type:\n", + "\n", + "1. `assoc_mcp`: significance of cell type-disease association\n", + "2. `hetero_mcp`: significance heterogeneity in association with disease across individual cells within a given cell type\n", + "3. `n_fdr_0.1`: number of significantly associated cells (with FDR$<$0.1 across all cells for a given disease)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "\n", + "for trait in [\"SCZ\", \"Height\"]:\n", + " !scdrs perform-downstream \\\n", + " --h5ad-file data/expr.h5ad \\\n", + " --score-file data/{trait}.full_score.gz \\\n", + " --out-folder data/ \\\n", + " --group-analysis level1class \\\n", + " --flag-filter-data True \\\n", + " --flag-raw-count True" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "group n_cell n_ctrl assoc_mcp assoc_mcz hetero_mcp hetero_mcz n_fdr_0.05 n_fdr_0.1 n_fdr_0.2\n", + "astrocytes_ependymal 224.0 1000.0 0.007992008 2.755896 0.002997003 3.0352552 6.0 12.0 23.0\n", + "endothelial-mural 235.0 1000.0 0.14085914 1.0441228 0.051948052 1.8254294 6.0 9.0 11.0\n", + "interneurons 290.0 1000.0 0.17982018 0.85168266 0.005994006 3.0294392 0.0 3.0 13.0\n", + "microglia 98.0 1000.0 0.43956044 0.09781444 0.17782217 0.9301765 0.0 2.0 3.0\n", + "oligodendrocytes 820.0 1000.0 0.7672328 -0.73165476 0.000999001 5.0373654 1.0 4.0 11.0\n", + "pyramidal CA1 939.0 1000.0 0.000999001 7.7077475 0.000999001 9.697396 50.0 105.0 189.0\n", + "pyramidal SS 399.0 1000.0 0.000999001 5.78891 0.000999001 6.059032 26.0 43.0 70.0\n" + ] + } + ], + "source": [ + "# scDRS group-level statistics for SCZ\n", + "!cat data/SCZ.scdrs_group.level1class | column -t -s $'\\t'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also visualize the three statistics simulateously using the built-in `scdrs.util.plot_group_stats`:\n", + "\n", + "1. Heatmap colors for each cell type-disease pair denote the proportion of significantly associated cells.\n", + "2. Squares denote significant cell type-disease associations (FDR$<$0.05 across all pairs of cell types and diseases/traits.\n", + "3. Cross symbols denote significant heterogeneity in association with disease across individual cells within a given cell type." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dict_df_stats = {\n", + " trait: pd.read_csv(f\"data/{trait}.scdrs_group.level1class\", sep=\"\\t\", index_col=0)\n", + " for trait in [\"SCZ\", \"Height\"]\n", + "}\n", + "dict_celltype_display_name = {\n", + " \"pyramidal_CA1\": \"Pyramidal CA1\",\n", + " \"oligodendrocytes\": \"Oligodendrocyte\",\n", + " \"pyramidal_SS\": \"Pyramidal SS\",\n", + " \"interneurons\": \"Interneuron\",\n", + " \"endothelial-mural\": \"Endothelial\",\n", + " \"astrocytes_ependymal\": \"Astrocyte\",\n", + " \"microglia\": \"Microglia\",\n", + "}\n", + "\n", + "fig, ax = scdrs.util.plot_group_stats(\n", + " dict_df_stats={\n", + " trait: df_stats.rename(index=dict_celltype_display_name)\n", + " for trait, df_stats in dict_df_stats.items()\n", + " },\n", + " plot_kws={\n", + " \"vmax\": 0.2,\n", + " \"cb_fraction\":0.12\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We observed that CA1 pyramidal neurons show the strongest cell type association as well as significant heterogeneity.\n", + "\n", + "Now we focus on this subset of cells and further understand sources of heterogeneity." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# extract CA1 pyramidal neurons and perform a re-clustering\n", + "adata_ca1 = adata[adata.obs[\"level2class\"].isin([\"CA1Pyr1\", \"CA1Pyr2\"])].copy()\n", + "sc.pp.filter_cells(adata_ca1, min_genes=0)\n", + "sc.pp.filter_genes(adata_ca1, min_cells=1)\n", + "sc.pp.normalize_total(adata_ca1, target_sum=1e4)\n", + "sc.pp.log1p(adata_ca1)\n", + "\n", + "sc.pp.highly_variable_genes(adata_ca1, min_mean=0.0125, max_mean=3, min_disp=0.5)\n", + "adata_ca1 = adata_ca1[:, adata_ca1.var.highly_variable]\n", + "sc.pp.scale(adata_ca1, max_value=10)\n", + "sc.tl.pca(adata_ca1, svd_solver=\"arpack\")\n", + "\n", + "sc.pp.neighbors(adata_ca1, n_neighbors=10, n_pcs=40)\n", + "sc.tl.umap(adata_ca1, n_components=2)\n", + "\n", + "# assign scDRS score\n", + "for trait in dict_score:\n", + " adata_ca1.obs[trait] = dict_score[trait][\"norm_score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sc.pl.umap(\n", + " adata_ca1,\n", + " color=dict_score.keys(),\n", + " color_map=\"RdBu_r\",\n", + " vmin=-5,\n", + " vmax=5,\n", + " s=20,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# `scDRS` test between disease score and cell-level variable\n", + "\n", + "Consistent with the previous observations, SCZ seems to be enriched in dorsal part of CA1.\n", + "\n", + "This is more obvious when we plot the plot average SCZ disease score against dorsal quintile." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df_plot = adata_ca1.obs[[\"Dorsal\", \"SCZ\", \"Height\"]].copy()\n", + "df_plot[\"Dorsal quintile\"] = pd.qcut(df_plot[\"Dorsal\"], 5, labels=np.arange(5))\n", + "\n", + "fig, ax = plt.subplots(figsize=(3.5, 3.5))\n", + "for trait in [\"SCZ\", \"Height\"]:\n", + " sns.lineplot(\n", + " data=df_plot,\n", + " x=\"Dorsal quintile\",\n", + " y=trait,\n", + " label=trait,\n", + " err_style=\"bars\",\n", + " marker=\"o\",\n", + " ax=ax,\n", + " )\n", + "ax.set_xticks(np.arange(5))\n", + "ax.set_xlabel(\"Dorsal quintile\")\n", + "ax.set_ylabel(\"Mean scDRS disease score\")\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To perform rigorous statistical test which quantify the p-value of the trend (probability that this happens by chance).\n", + "\n", + "We can compare Pearson's correlation of disease score and dorsal score against Pearson's correlation of control scores and dorsal score and derive a p-value.\n", + "\n", + "Indeed, the association between SCZ v.s. Dorsal is highly significant. Apart from assessing the significance of correlation, the control scores can help assess the significance of essentially any statistics. See our paper for more details. " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SCZ v.s. Dorsal, Pearson's r=0.43 (p=0.001)\n", + "Height v.s. Dorsal, Pearson's r=0.04 (p=0.37)\n" + ] + } + ], + "source": [ + "spatial_col = \"Dorsal\"\n", + "for trait in [\"SCZ\", \"Height\"]:\n", + " df_score = dict_score[trait].reindex(adata_ca1.obs.index)\n", + " ctrl_cols = [col for col in df_score.columns if col.startswith(\"ctrl_norm_score\")]\n", + " n_ctrl = len(ctrl_cols)\n", + "\n", + " # Pearson's r between trait score and spatial score\n", + " data_r = stats.pearsonr(df_score[\"norm_score\"], adata_ca1.obs[spatial_col])[0]\n", + "\n", + " # Regression: control score ~ spatial score\n", + " ctrl_r = np.zeros(len(ctrl_cols))\n", + " for ctrl_i, ctrl_col in enumerate(ctrl_cols):\n", + " ctrl_r[ctrl_i] = stats.pearsonr(df_score[ctrl_col], adata_ca1.obs[spatial_col])[\n", + " 0\n", + " ]\n", + " pval = (np.sum(data_r <= ctrl_r) + 1) / (n_ctrl + 1)\n", + "\n", + " print(f\"{trait} v.s. {spatial_col}, Pearson's r={data_r:.2g} (p={pval:.2g})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using `scDRS` within python\n", + "If you prefer to use scDRS within python or would like to know about the details, here we provide python codes to (1) calculate scDRS scores (2) perform group-level analyses achieving the same functionality as above via cli." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preparing data" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# scdrs.util.load_h5ad is a simple wrapper to read h5ad files \n", + "# with basic data filtering\n", + "adata = scdrs.util.load_h5ad(\n", + " h5ad_file=\"data/expr.h5ad\", flag_filter_data=True, flag_raw_count=True\n", + ")\n", + "\n", + "# load geneset, convert homologs and overlap gene names to adata.var_names \n", + "dict_gs = scdrs.util.load_gs(\n", + " \"data/processed_geneset.gs\",\n", + " src_species=\"mouse\",\n", + " dst_species=\"mouse\",\n", + " to_intersect=adata.var_names,\n", + ")\n", + "\n", + "# load covariates\n", + "df_cov = pd.read_csv(\"data/cov.tsv\", sep=\"\\t\", index_col=0)\n", + "\n", + "# preprocess data to \n", + "# (1) regress out from covariates \n", + "# (2) group genes into bins by mean and variance\n", + "scdrs.preprocess(adata, cov=df_cov, n_mean_bin=20, n_var_bin=20, copy=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Computing scDRS scores" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Computing control scores: 100%|██████████| 1000/1000 [00:38<00:00, 25.70it/s]\n", + "Computing control scores: 100%|██████████| 1000/1000 [00:12<00:00, 77.20it/s]\n", + "Computing control scores: 100%|██████████| 1000/1000 [00:32<00:00, 30.69it/s]\n" + ] + } + ], + "source": [ + "dict_df_score = dict()\n", + "for trait in dict_gs:\n", + " gene_list, gene_weights = dict_gs[trait]\n", + " dict_df_score[trait] = scdrs.score_cell(\n", + " data=adata,\n", + " gene_list=gene_list,\n", + " gene_weight=gene_weights,\n", + " ctrl_match_key=\"mean_var\",\n", + " n_ctrl=1000,\n", + " weight_opt=\"vs\",\n", + " return_ctrl_raw_score=False,\n", + " return_ctrl_norm_score=True,\n", + " verbose=False,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Downstream analyses for SCZ\n", + "We can validate that these statistics are identical as calculated via cli." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Group-level statistics for SCZ
 n_celln_ctrlassoc_mcpassoc_mczhetero_mcphetero_mczn_fdr_0.05n_fdr_0.1n_fdr_0.2
group         
astrocytes_ependymal224.0000001000.0000000.0079922.7558960.0029973.0352556.00000012.00000023.000000
endothelial-mural235.0000001000.0000000.1408591.0441230.0519481.8254296.0000009.00000011.000000
interneurons290.0000001000.0000000.1798200.8516830.0059943.0294390.0000003.00000013.000000
microglia98.0000001000.0000000.4395600.0978140.1778220.9301770.0000002.0000003.000000
oligodendrocytes820.0000001000.0000000.767233-0.7316550.0009995.0373651.0000004.00000011.000000
pyramidal CA1939.0000001000.0000000.0009997.7077470.0009999.69739650.000000105.000000189.000000
pyramidal SS399.0000001000.0000000.0009995.7889100.0009996.05903226.00000043.00000070.000000
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_stats = scdrs.method.downstream_group_analysis(\n", + " adata=adata,\n", + " df_full_score=dict_df_score[\"SCZ\"],\n", + " group_cols=[\"level1class\"],\n", + ")[\"level1class\"]\n", + "\n", + "display(df_stats.style.set_caption(\"Group-level statistics for SCZ\"))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/reference.rst.txt b/_sources/reference.rst.txt new file mode 100644 index 0000000..73f855d --- /dev/null +++ b/_sources/reference.rst.txt @@ -0,0 +1,55 @@ +.. module:: scdrs +.. automodule:: scdrs + :noindex: + +Documentation +============= + +Import scDRS as:: + + import scdrs + +Compute scDRS score +~~~~~~~~~~~~~~~~~~~ + +.. autosummary:: + :toctree: reference + + scdrs.preprocess + scdrs.score_cell + +scDRS downstream analyses +~~~~~~~~~~~~~~~~~~~~~~~~~ + +.. autosummary:: + :toctree: reference + + scdrs.method.downstream_group_analysis + scdrs.method.downstream_corr_analysis + scdrs.method.downstream_gene_analysis + +Data loading +~~~~~~~~~~~~ + +.. autosummary:: + :toctree: reference + + scdrs.util.load_h5ad + scdrs.util.load_scdrs_score + scdrs.util.load_gs + scdrs.util.load_homolog_mapping + +Utils +~~~~~ + +.. autosummary:: + :toctree: reference + + scdrs.method.test_gearysc + scdrs.method.gearys_c + scdrs.method._pearson_corr + scdrs.method._pearson_corr_sparse + scdrs.pp.compute_stats + scdrs.pp.reg_out + scdrs.pp._get_mean_var + scdrs.pp._get_mean_var_implicit_cov_corr diff --git a/_sources/reference/scdrs.method._pearson_corr.rst.txt b/_sources/reference/scdrs.method._pearson_corr.rst.txt new file mode 100644 index 0000000..963a18b --- /dev/null +++ b/_sources/reference/scdrs.method._pearson_corr.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.\_pearson\_corr +============================ + +.. currentmodule:: scdrs.method + +.. autofunction:: _pearson_corr \ No newline at end of file diff --git a/_sources/reference/scdrs.method._pearson_corr_sparse.rst.txt b/_sources/reference/scdrs.method._pearson_corr_sparse.rst.txt new file mode 100644 index 0000000..0d30eb4 --- /dev/null +++ b/_sources/reference/scdrs.method._pearson_corr_sparse.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.\_pearson\_corr\_sparse +==================================== + +.. currentmodule:: scdrs.method + +.. autofunction:: _pearson_corr_sparse \ No newline at end of file diff --git a/_sources/reference/scdrs.method.downstream_corr_analysis.rst.txt b/_sources/reference/scdrs.method.downstream_corr_analysis.rst.txt new file mode 100644 index 0000000..b2c5877 --- /dev/null +++ b/_sources/reference/scdrs.method.downstream_corr_analysis.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.downstream\_corr\_analysis +======================================= + +.. currentmodule:: scdrs.method + +.. autofunction:: downstream_corr_analysis \ No newline at end of file diff --git a/_sources/reference/scdrs.method.downstream_gene_analysis.rst.txt b/_sources/reference/scdrs.method.downstream_gene_analysis.rst.txt new file mode 100644 index 0000000..16e62a1 --- /dev/null +++ b/_sources/reference/scdrs.method.downstream_gene_analysis.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.downstream\_gene\_analysis +======================================= + +.. currentmodule:: scdrs.method + +.. autofunction:: downstream_gene_analysis \ No newline at end of file diff --git a/_sources/reference/scdrs.method.downstream_group_analysis.rst.txt b/_sources/reference/scdrs.method.downstream_group_analysis.rst.txt new file mode 100644 index 0000000..dc5a8e7 --- /dev/null +++ b/_sources/reference/scdrs.method.downstream_group_analysis.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.downstream\_group\_analysis +======================================== + +.. currentmodule:: scdrs.method + +.. autofunction:: downstream_group_analysis \ No newline at end of file diff --git a/_sources/reference/scdrs.method.gearys_c.rst.txt b/_sources/reference/scdrs.method.gearys_c.rst.txt new file mode 100644 index 0000000..7c8472b --- /dev/null +++ b/_sources/reference/scdrs.method.gearys_c.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.gearys\_c +====================== + +.. currentmodule:: scdrs.method + +.. autofunction:: gearys_c \ No newline at end of file diff --git a/_sources/reference/scdrs.method.test_gearysc.rst.txt b/_sources/reference/scdrs.method.test_gearysc.rst.txt new file mode 100644 index 0000000..7858a8b --- /dev/null +++ b/_sources/reference/scdrs.method.test_gearysc.rst.txt @@ -0,0 +1,6 @@ +scdrs.method.test\_gearysc +========================== + +.. currentmodule:: scdrs.method + +.. autofunction:: test_gearysc \ No newline at end of file diff --git a/_sources/reference/scdrs.pp._get_mean_var.rst.txt b/_sources/reference/scdrs.pp._get_mean_var.rst.txt new file mode 100644 index 0000000..400f789 --- /dev/null +++ b/_sources/reference/scdrs.pp._get_mean_var.rst.txt @@ -0,0 +1,6 @@ +scdrs.pp.\_get\_mean\_var +========================= + +.. currentmodule:: scdrs.pp + +.. autofunction:: _get_mean_var \ No newline at end of file diff --git a/_sources/reference/scdrs.pp._get_mean_var_implicit_cov_corr.rst.txt b/_sources/reference/scdrs.pp._get_mean_var_implicit_cov_corr.rst.txt new file mode 100644 index 0000000..1555948 --- /dev/null +++ b/_sources/reference/scdrs.pp._get_mean_var_implicit_cov_corr.rst.txt @@ -0,0 +1,6 @@ +scdrs.pp.\_get\_mean\_var\_implicit\_cov\_corr +============================================== + +.. currentmodule:: scdrs.pp + +.. autofunction:: _get_mean_var_implicit_cov_corr \ No newline at end of file diff --git a/_sources/reference/scdrs.pp.compute_stats.rst.txt b/_sources/reference/scdrs.pp.compute_stats.rst.txt new file mode 100644 index 0000000..96cb686 --- /dev/null +++ b/_sources/reference/scdrs.pp.compute_stats.rst.txt @@ -0,0 +1,6 @@ +scdrs.pp.compute\_stats +======================= + +.. currentmodule:: scdrs.pp + +.. autofunction:: compute_stats \ No newline at end of file diff --git a/_sources/reference/scdrs.pp.reg_out.rst.txt b/_sources/reference/scdrs.pp.reg_out.rst.txt new file mode 100644 index 0000000..d2aef3a --- /dev/null +++ b/_sources/reference/scdrs.pp.reg_out.rst.txt @@ -0,0 +1,6 @@ +scdrs.pp.reg\_out +================= + +.. currentmodule:: scdrs.pp + +.. autofunction:: reg_out \ No newline at end of file diff --git a/_sources/reference/scdrs.preprocess.rst.txt b/_sources/reference/scdrs.preprocess.rst.txt new file mode 100644 index 0000000..57bd549 --- /dev/null +++ b/_sources/reference/scdrs.preprocess.rst.txt @@ -0,0 +1,6 @@ +scdrs.preprocess +================ + +.. currentmodule:: scdrs + +.. autofunction:: preprocess \ No newline at end of file diff --git a/_sources/reference/scdrs.score_cell.rst.txt b/_sources/reference/scdrs.score_cell.rst.txt new file mode 100644 index 0000000..459cf94 --- /dev/null +++ b/_sources/reference/scdrs.score_cell.rst.txt @@ -0,0 +1,6 @@ +scdrs.score\_cell +================= + +.. currentmodule:: scdrs + +.. autofunction:: score_cell \ No newline at end of file diff --git a/_sources/reference/scdrs.util.load_gs.rst.txt b/_sources/reference/scdrs.util.load_gs.rst.txt new file mode 100644 index 0000000..71e7f31 --- /dev/null +++ b/_sources/reference/scdrs.util.load_gs.rst.txt @@ -0,0 +1,6 @@ +scdrs.util.load\_gs +=================== + +.. currentmodule:: scdrs.util + +.. autofunction:: load_gs \ No newline at end of file diff --git a/_sources/reference/scdrs.util.load_h5ad.rst.txt b/_sources/reference/scdrs.util.load_h5ad.rst.txt new file mode 100644 index 0000000..9e5e581 --- /dev/null +++ b/_sources/reference/scdrs.util.load_h5ad.rst.txt @@ -0,0 +1,6 @@ +scdrs.util.load\_h5ad +===================== + +.. currentmodule:: scdrs.util + +.. autofunction:: load_h5ad \ No newline at end of file diff --git a/_sources/reference/scdrs.util.load_homolog_mapping.rst.txt b/_sources/reference/scdrs.util.load_homolog_mapping.rst.txt new file mode 100644 index 0000000..5344d9a --- /dev/null +++ b/_sources/reference/scdrs.util.load_homolog_mapping.rst.txt @@ -0,0 +1,6 @@ +scdrs.util.load\_homolog\_mapping +================================= + +.. currentmodule:: scdrs.util + +.. autofunction:: load_homolog_mapping \ No newline at end of file diff --git a/_sources/reference/scdrs.util.load_scdrs_score.rst.txt b/_sources/reference/scdrs.util.load_scdrs_score.rst.txt new file mode 100644 index 0000000..0c1e1cc --- /dev/null +++ b/_sources/reference/scdrs.util.load_scdrs_score.rst.txt @@ -0,0 +1,6 @@ +scdrs.util.load\_scdrs\_score +============================= + +.. currentmodule:: scdrs.util + +.. autofunction:: load_scdrs_score \ No newline at end of file diff --git a/_sources/reference_cli.rst.txt b/_sources/reference_cli.rst.txt new file mode 100644 index 0000000..0bcbe80 --- /dev/null +++ b/_sources/reference_cli.rst.txt @@ -0,0 +1,200 @@ +CLI +=== +scDRS CLI supports 3 main functions: + +1. Munge gene sets :code:`scdrs munge-gs`, producing :code:`.gs` file. + +2. Compute scores :code:`scdrs compute-score`, producing :code:`.score.gz` and :code:`.full_score.gz` files. + +3. Perform downstream analyses :code:`scdrs perform-downstream`, producing :code:`.scdrs_group.`, :code:`.scdrs_cell_corr`, and :code:`.scdrs_gene` files. + +See `scDRS file formats `_. Use :code:`--help` to check out more CLI details, e.g., :code:`scdrs compute-score --help`. + +scDRS CLI does not distinguish between dash "-" and underscore "_". E.g., followings are equivalent: + +.. code-block:: bash + + # All dashes + scdrs compute-score --h5ad-file --out-folder ... + # All underscores + scdrs compute_score --h5ad_file --out_folder ... + # Mixed + scdrs compute_score --h5ad-file --out_folder ... + + +munge-gs +~~~~~~~~ + +Convert a :code:`.tsv` GWAS gene statistics file to an scDRS :code:`.gs` file. + +1. Read result from a :code:`.tsv` p-value or z-score file. +2. Select a subset of genes for each trait: + + - If both :code:`fdr` and :code:`fwer` are :code:`None`, select the top :code:`n_max` genes. + - If :code:`fdr` is not :code:`None`, select genes for based on FDR (across all genes of a given trait) + and cap between :code:`n_min` and :code:`n_max`. + - If :code:`fwer` is not :code:`None`, select genes based on FWER (across all genes of a given trait) and + cap between :code:`n_min` and :code:`n_max`. + +3. Assign gene weights based on :code:`weight`. +4. Write the :code:`.gs` file to :code:`out_file`. + +.. code-block:: bash + + # Select top 1,000 genes and use z-score weights + scdrs munge-gs \ + --out-file \ + --zscore-file \ + --weight zscore \ + --n-max 1000 + +out_file : str + Output scDRS :code:`.gs` file. +pval_file : str, optional + P-value file. A .tsv file with first column corresponding to genes and other + columns corresponding to p-values of traits (one trait per column). + One of :code:`pval-file` and :code:`zscore-file` is expected. Default is :code:`None`. +zscore_file : str, optional + Z-score file. A .tsv file with first column corresponding to genes and other + columns corresponding to z-scores of traits (one trait per column). + One of :code:`pval-file` and :code:`zscore-file` is expected. Default is :code:`None`. +weight : str, optional + Gene weight options. One of :code:`zscore` or :code:`uniform`. Default is :code:`zscore`. +fdr : float, optional + FDR threshold. Default is :code:`None`. E.g., :code:`--fdr 0.05` +fwer : float, optional + FWER threshold. Default is :code:`None`. E.g., :code:`--fwer 0.05` +n_min : int, optional + Minimum number of genes for each gene set. Default is :code:`100`. E.g., :code:`--n-min 100` +n_max : int, optional + Maximum number of genes for each gene set. Default is :code:`1000`. E.g., :code:`--n-min 1000` + +Example p-value file:: + + GENE BMI HEIGHT + OR4F5 0.001 0.01 + DAZ3 0.01 0.001 + + +compute-score +~~~~~~~~~~~~~ +Compute scDRS scores. Generate :code:`.score.gz` and :code:`.full_score.gz` files for each trait. + +.. code-block:: bash + + scdrs compute-score \ + --h5ad-file \ + --h5ad-species mouse\ + --gs-file \ + --gs-species human\ + --out-folder \ + --cov-file \ + --flag-filter-data True\ + --flag-raw-count True\ + --n-ctrl 1000\ + --flag-return-ctrl-raw-score False\ + --flag-return-ctrl-norm-score True + +h5ad_file : str + Single-cell :code:`.h5ad` file. +h5ad_species : str + Species of :code:`h5ad_file`. One of :code:`hsapiens`, :code:`human`, :code:`mmusculus`, or :code:`mouse`. +gs_file : str + scDRS gene set :code:`.gs` file. +gs_species : str + Species of :code:`gs_file`. One of :code:`hsapiens`, :code:`human`, :code:`mmusculus`, or :code:`mouse`. +out_folder : str + Output folder. Save scDRS score files as :code:`/.score.gz` and + scDRS full score files as :code:`/.full_score.gz`, where trait identifier + :code:`` is from :code:`gs_file` file. +cov_file : str, optional + scDRS covariate :code:`.cov` file. Default is :code:`None`. +weight_opt : str, optional + Option for single-cell data-based weights (separate from the MAGMA z-score weights in the :code:`gs_file`). + One of :code:`vs` (variance-stablization weights) and :code:`uniform` (uniform weights). + Default is :code:`vs`. +adj_prop : str, optional + Cell group annotation (e.g., cell type) in :code:`adata.obs.columns` used for adjusting + for cell group proportions. Cells are inversely weighted by the corresponding + group size. Default is :code:`None`. +flag_filter_data : bool, optional + If to apply minimal cell and gene filtering to :code:`h5ad_file`. Default is :code:`True`. +flag_raw_count : bool, optional + If to apply size-factor normalization and log1p-transformation to :code:`h5ad_file`. Default is :code:`True`. +n_ctrl : int, optional + Number of control gene sets. Default is :code:`1000`. +min_genes : int, optional + Minimum number of genes expressed required for a cell to pass filtering. + Used in :code:`scanpy.pp.filter_cells`. Default is :code:`250`. +min_cells : int, optional + Minimum number of cells expressed required for a gene to pass filtering. + Used in :code:`scanpy.pp.filter_genes`. Default is :code:`50`. +flag_return_ctrl_raw_score : bool, optional + If to return raw control scores. Default is :code:`False`. +flag_return_ctrl_norm_score : bool, optional + If to return normalized control scores. Default is :code:`True`. + + +perform-downstream +~~~~~~~~~~~~~~~~~~ + +Perform scDRS downstream analyses based on precomputed scDRS :code:`.full_score.gz` files. The number of MC samples in MC tests depends on the number of control scores in the :code:`.full_score.gz` file; to increase this number, specify a larger :code:`--n_ctrl` when calling :code:`scdrs compute-score` in the previous step. + +--group-analysis For a given cell group-level annotation (e.g., tissue or cell type), assess cell + group-disease association (control-score-based MC tests using 5% quantile) and within-cell + group disease-association heterogeneity (control-score-based MC tests using Geary's C). +--corr-analysis For a given individual cell-level variable (e.g., T cell effectorness gradient), + assess association between disease and the individual cell-level variable (control-score-based + MC tests using Pearson's correlation). +--gene-analysis Compute Pearson's correlation between expression of each gene and the scDRS disease score. + +.. code-block:: bash + + scdrs perform-downstream \ + --h5ad-file \ + --score-file \ + --out-folder \ + --group-analysis cell_type \ + --corr-analysis causal_variable,non_causal_variable,covariate\ + --gene-analysis\ + --flag-filter-data True\ + --flag-raw-count True + +h5ad_file : str + Single-cell :code:`.h5ad` file. +score_file : str + scDRS :code:`.full_score.gz` file. Use "@" to specify multiple file names, + e.g., :code:`/@.full_score.gz`. However, :code:`` + should not contain "@". +out_folder : str + Output folder. +group_analysis : str, optional + Comma-seperated column names for cell group annotations in :code:`adata.obs.columns`, e.g., + cell types or tissues. Results are saved as :code:`/.scdrs_group.`, + one file per annotation. Default is :code:`None`. +corr_analysis : str, optional + Comma-seperated column names for continuous annotations in :code:`adata.obs.columns`, + e.g., T cell effectorness gradient. Results are saved as + :code:`/.scdrs_cell_corr` for all variables. + Default is :code:`None`. +gene_analysis : str, optional + Flag to perform the gene prioritization by correlating gene expression with scDRS + scores. Specifying :code:`--gene-analysis` without any arguments. Results are saved as + :code:`/.scdrs_gene` for all genes. Default is :code:`None`. +flag_filter_data : bool, optional + If to apply minimal cell and gene filtering to :code:`h5ad_file`. Default is :code:`True`. +flag_raw_count : bool, optional + If to apply size-factor normalization and log1p-transformation to :code:`h5ad_file`. + Default is :code:`True`. +min_genes : int, optional + Minimum number of genes expressed required for a cell to pass filtering. + Used in :code:`scanpy.pp.filter_cells`. Default is :code:`250`. +min_cells : int, optional + Minimum number of cells expressed required for a gene to pass filtering. + Used in :code:`scanpy.pp.filter_genes`. Default is :code:`50`. +knn_n_neighbors : int, optional + :code:`n_neighbors` parameter for computing KNN graph using :code:`sc.pp.neighbors`. + Default is :code:`15` (consistent with the TMS pipeline). +knn_n_pcs : int, optional + :code:`n_pcs` parameter for computing KNN graph using :code:`sc.pp.neighbors`. + Default is :code:`20` (consistent with the TMS pipeline). \ No newline at end of file diff --git a/_sources/versions.rst.txt b/_sources/versions.rst.txt new file mode 100644 index 0000000..27b6ee9 --- /dev/null +++ b/_sources/versions.rst.txt @@ -0,0 +1,66 @@ +Versions +======== + +v1.0.2 (091222) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +.. code-block:: bash + + git clone https://github.com/martinjzhang/scDRS.git + cd scDRS + git checkout -b v102 v1.0.2 + pip install -e . + +Quick test: + +.. code-block:: bash + + python -m pytest tests/test_CLI.py -p no:warnings + +v1.0.1: publication (072222) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +.. code-block:: bash + + git clone https://github.com/martinjzhang/scDRS.git + cd scDRS + git checkout -b pub v1.0.1 + pip install -e . + +Quick test: + +.. code-block:: bash + + python -m pytest tests/test_CLI.py -p no:warnings + +v1.0.0: revision 1 (030622) +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +.. code-block:: bash + + git clone https://github.com/martinjzhang/scDRS.git + cd scDRS + git checkout -b rv1 v1.0.0 + pip install -e . + +Quick test: + +.. code-block:: bash + + python -m pytest tests/test_CLI.py -p no:warnings + +v0.1: initial submission (093022) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +.. code-block:: bash + + git clone https://github.com/martinjzhang/scDRS.git + cd scDRS + git checkout -b initial_submission v0.1 + pip install -e . + +Quick test: + +.. code-block:: bash + + python -m pytest tests/test_scdrs.py -p no:warnings \ No newline at end of file diff --git a/_static/basic.css b/_static/basic.css new file mode 100644 index 0000000..b97662d --- /dev/null +++ b/_static/basic.css @@ -0,0 +1,921 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; 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+ margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 360px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, figure.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, figure.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, figure.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, figure.align-default, .figure.align-default { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-default { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar, +aside.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px; + background-color: #ffe; + width: 40%; + float: right; + clear: right; + overflow-x: auto; +} + +p.sidebar-title { + font-weight: bold; +} + +nav.contents, +aside.topic, +div.admonition, div.topic, blockquote { + clear: left; +} + +/* -- topics ---------------------------------------------------------------- */ + +nav.contents, +aside.topic, +div.topic { + border: 1px solid #ccc; + padding: 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- content of sidebars/topics/admonitions -------------------------------- */ + +div.sidebar > :last-child, +aside.sidebar > :last-child, +nav.contents > :last-child, +aside.topic > :last-child, +div.topic > :last-child, +div.admonition > :last-child { + margin-bottom: 0; +} + +div.sidebar::after, +aside.sidebar::after, +nav.contents::after, +aside.topic::after, +div.topic::after, +div.admonition::after, +blockquote::after { + display: block; + content: ''; + clear: both; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + margin-top: 10px; + margin-bottom: 10px; + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > :first-child, +td > :first-child { + margin-top: 0px; +} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure, figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption, figcaption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number, +figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +aside.footnote > span, +div.citation > span { + float: left; +} +aside.footnote > span:last-of-type, +div.citation > span:last-of-type { + padding-right: 0.5em; +} +aside.footnote > p { + margin-left: 2em; +} +div.citation > p { + margin-left: 4em; +} +aside.footnote > p:last-of-type, +div.citation > p:last-of-type { + margin-bottom: 0em; +} +aside.footnote > p:last-of-type:after, +div.citation > p:last-of-type:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > :first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +.sig dd { + margin-top: 0px; + margin-bottom: 0px; +} + +.sig dl { + margin-top: 0px; + margin-bottom: 0px; +} + +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +.translated { + background-color: rgba(207, 255, 207, 0.2) +} + +.untranslated { + background-color: rgba(255, 207, 207, 0.2) +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/_static/check-solid.svg b/_static/check-solid.svg new file mode 100644 index 0000000..92fad4b --- /dev/null +++ b/_static/check-solid.svg @@ -0,0 +1,4 @@ + + + + diff --git a/_static/clipboard.min.js b/_static/clipboard.min.js new file mode 100644 index 0000000..54b3c46 --- /dev/null +++ b/_static/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.8 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1 + + + + diff --git a/_static/copybutton.css b/_static/copybutton.css new file mode 100644 index 0000000..f1916ec --- /dev/null +++ b/_static/copybutton.css @@ -0,0 +1,94 @@ +/* Copy buttons */ +button.copybtn { + position: absolute; + display: flex; + top: .3em; + right: .3em; + width: 1.7em; + height: 1.7em; + opacity: 0; + transition: opacity 0.3s, border .3s, background-color .3s; + user-select: none; + padding: 0; + border: none; + outline: none; + border-radius: 0.4em; + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; +} + +button.copybtn.success { + border-color: #22863a; + color: #22863a; +} + +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; +} + +div.highlight { + position: relative; +} + +/* Show the copybutton */ +.highlight:hover button.copybtn, button.copybtn.success { + opacity: 1; +} + +.highlight button.copybtn:hover { + background-color: rgb(235, 235, 235); +} + +.highlight button.copybtn:active { + background-color: rgb(187, 187, 187); +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + *

Short

+ */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/_static/copybutton.js b/_static/copybutton.js new file mode 100644 index 0000000..2ea7ff3 --- /dev/null +++ b/_static/copybutton.js @@ -0,0 +1,248 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copier dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = ` + ${messages[locale]['copy_success']} + + +` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = ` + ${messages[locale]['copy_to_clipboard']} + + + +` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for a moment, then changes it back +// We want the timeout of our `success` class to be a bit shorter than the +// tooltip and icon change, so that we can hide the icon before changing back. +var timeoutIcon = 2000; +var timeoutSuccessClass = 1500; + +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + // Remove success a little bit sooner than we change the tooltip + // So that we can use CSS to hide the copybutton first + setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) + setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const COPYBUTTON_SELECTOR = 'div.highlight pre'; + const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + + // get filtered text + let exclude = '.linenos'; + + let text = filterText(target, exclude); + return formatCopyText(text, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js new file mode 100644 index 0000000..dbe1aaa --- /dev/null +++ b/_static/copybutton_funcs.js @@ -0,0 +1,73 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +export function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} diff --git a/_static/doctools.js b/_static/doctools.js new file mode 100644 index 0000000..d06a71d --- /dev/null +++ b/_static/doctools.js @@ -0,0 +1,156 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Base JavaScript utilities for all Sphinx HTML documentation. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ + "TEXTAREA", + "INPUT", + "SELECT", + "BUTTON", +]); + +const _ready = (callback) => { + if (document.readyState !== "loading") { + callback(); + } else { + document.addEventListener("DOMContentLoaded", callback); + } +}; + +/** + * Small JavaScript module for the documentation. + */ +const Documentation = { + init: () => { + Documentation.initDomainIndexTable(); + Documentation.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS: {}, + PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), + LOCALE: "unknown", + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext: (string) => { + const translated = Documentation.TRANSLATIONS[string]; + switch (typeof translated) { + case "undefined": + return string; // no translation + case "string": + return translated; // translation exists + default: + return translated[0]; // (singular, plural) translation tuple exists + } + }, + + ngettext: (singular, plural, n) => { + const translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated !== "undefined") + return translated[Documentation.PLURAL_EXPR(n)]; + return n === 1 ? singular : plural; + }, + + addTranslations: (catalog) => { + Object.assign(Documentation.TRANSLATIONS, catalog.messages); + Documentation.PLURAL_EXPR = new Function( + "n", + `return (${catalog.plural_expr})` + ); + Documentation.LOCALE = catalog.locale; + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar: () => { + document.querySelectorAll("input[name=q]")[0]?.focus(); + }, + + /** + * Initialise the domain index toggle buttons + */ + initDomainIndexTable: () => { + const toggler = (el) => { + const idNumber = el.id.substr(7); + const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); + if (el.src.substr(-9) === "minus.png") { + el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; + toggledRows.forEach((el) => (el.style.display = "none")); + } else { + el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; + toggledRows.forEach((el) => (el.style.display = "")); + } + }; + + const togglerElements = document.querySelectorAll("img.toggler"); + togglerElements.forEach((el) => + el.addEventListener("click", (event) => toggler(event.currentTarget)) + ); + togglerElements.forEach((el) => (el.style.display = "")); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); + }, + + initOnKeyListeners: () => { + // only install a listener if it is really needed + if ( + !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS + ) + return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.altKey || event.ctrlKey || event.metaKey) return; + + if (!event.shiftKey) { + switch (event.key) { + case "ArrowLeft": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const prevLink = document.querySelector('link[rel="prev"]'); + if (prevLink && prevLink.href) { + window.location.href = prevLink.href; + event.preventDefault(); + } + break; + case "ArrowRight": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const nextLink = document.querySelector('link[rel="next"]'); + if (nextLink && nextLink.href) { + window.location.href = nextLink.href; + event.preventDefault(); + } + break; + } + } + + // some keyboard layouts may need Shift to get / + switch (event.key) { + case "/": + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; + Documentation.focusSearchBar(); + event.preventDefault(); + } + }); + }, +}; + +// quick alias for translations +const _ = Documentation.gettext; + +_ready(Documentation.init); diff --git a/_static/documentation_options.js b/_static/documentation_options.js new file mode 100644 index 0000000..790c689 --- /dev/null +++ b/_static/documentation_options.js @@ -0,0 +1,14 @@ +var DOCUMENTATION_OPTIONS = { + URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), + VERSION: '1.0.3', + LANGUAGE: 'en', + COLLAPSE_INDEX: false, + BUILDER: 'html', + FILE_SUFFIX: '.html', + LINK_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false, + SHOW_SEARCH_SUMMARY: true, + ENABLE_SEARCH_SHORTCUTS: true, +}; \ No newline at end of file diff --git a/_static/file.png b/_static/file.png new file mode 100644 index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3 GIT binary patch literal 286 zcmV+(0pb3MP)s`hMrGg#P~ix$^RISR_I47Y|r1 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step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = firstch.toLowerCase() + w.substr(1); + return w; + } +} + diff --git a/_static/minus.png b/_static/minus.png new file mode 100644 index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d GIT binary patch literal 90 zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK literal 0 HcmV?d00001 diff --git a/_static/nbsphinx-broken-thumbnail.svg b/_static/nbsphinx-broken-thumbnail.svg new file mode 100644 index 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background: unset; +} + +div.nboutput.container div.output_area div.highlight { + color: unset; /* override Pygments text color */ +} + +/* avoid gaps between output lines */ +div.nboutput.container div[class*=highlight] pre { + line-height: normal; +} + +/* input/output containers */ +div.nbinput.container, +div.nboutput.container { + display: -webkit-flex; + display: flex; + align-items: flex-start; + margin: 0; + width: 100%; +} +@media (max-width: 540px) { + div.nbinput.container, + div.nboutput.container { + flex-direction: column; + } +} + +/* input container */ +div.nbinput.container { + padding-top: 5px; +} + +/* last container */ +div.nblast.container { + padding-bottom: 5px; +} + +/* input prompt */ +div.nbinput.container div.prompt pre, +/* for sphinx_immaterial theme: */ +div.nbinput.container div.prompt pre > code { + color: #307FC1; +} + +/* output prompt */ +div.nboutput.container div.prompt pre, +/* for sphinx_immaterial theme: */ +div.nboutput.container div.prompt pre > code { + color: #BF5B3D; +} + +/* all prompts */ +div.nbinput.container div.prompt, +div.nboutput.container div.prompt { + width: 4.5ex; + padding-top: 5px; + position: relative; + user-select: none; +} + +div.nbinput.container div.prompt > div, +div.nboutput.container div.prompt > div { + position: absolute; + right: 0; + margin-right: 0.3ex; +} + +@media (max-width: 540px) { + div.nbinput.container div.prompt, + div.nboutput.container div.prompt { + width: unset; + text-align: left; + padding: 0.4em; + } + div.nboutput.container div.prompt.empty { + padding: 0; + } + + div.nbinput.container div.prompt > div, + div.nboutput.container div.prompt > div { + position: unset; + } +} + +/* disable scrollbars and line breaks on prompts */ +div.nbinput.container div.prompt pre, +div.nboutput.container div.prompt pre { + overflow: hidden; + white-space: pre; +} + +/* input/output area */ +div.nbinput.container div.input_area, +div.nboutput.container div.output_area { + -webkit-flex: 1; + flex: 1; + overflow: auto; +} +@media (max-width: 540px) { + div.nbinput.container div.input_area, + div.nboutput.container div.output_area { + width: 100%; + } +} + +/* input area */ +div.nbinput.container div.input_area { + border: 1px solid #e0e0e0; + border-radius: 2px; + /*background: #f5f5f5;*/ +} + +/* override MathJax center alignment in output cells */ +div.nboutput.container div[class*=MathJax] { + text-align: left !important; +} + +/* override sphinx.ext.imgmath center alignment in output cells */ +div.nboutput.container div.math p { + text-align: left; +} + +/* standard error */ +div.nboutput.container div.output_area.stderr { + background: #fdd; +} + +/* ANSI colors */ +.ansi-black-fg { color: #3E424D; } +.ansi-black-bg { background-color: #3E424D; } +.ansi-black-intense-fg { color: #282C36; } +.ansi-black-intense-bg { background-color: #282C36; } +.ansi-red-fg { color: #E75C58; } +.ansi-red-bg { background-color: #E75C58; } +.ansi-red-intense-fg { color: #B22B31; } 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e=ye.getSelectorFromElement(t),i=ye.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return _i}static get DefaultType(){return bi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>vi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(ue.trigger(this._element,ai).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(fi),this._element.classList.add(pi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi,ui),this._element.style[e]="",ue.trigger(this._element,li)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(ue.trigger(this._element,ci).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,Rt(this._element),this._element.classList.add(pi),this._element.classList.remove(fi,ui);for(const t of this._triggerArray){const e=ye.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(pi),this._element.classList.add(fi),ue.trigger(this._element,hi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(ui)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ft(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(gi);for(const e of t){const t=ye.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ye.find(mi,this._config.parent);return ye.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=vi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}ue.on(document,di,gi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of ye.getMultipleElementsFromSelector(this))vi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Kt(vi);const yi="dropdown",wi=".bs.dropdown",Ei=".data-api",Ai="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ei}`,Si=`keydown${wi}${Ei}`,Di=`keyup${wi}${Ei}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=Yt()?"top-end":"top-start",ji=Yt()?"top-start":"top-end",Fi=Yt()?"bottom-end":"bottom-start",Hi=Yt()?"bottom-start":"bottom-end",Bi=Yt()?"left-start":"right-start",Wi=Yt()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends be{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ye.next(this._element,Pi)[0]||ye.prev(this._element,Pi)[0]||ye.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Bt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!ue.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),ue.trigger(this._element,ki,t)}}hide(){if(Bt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!ue.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),ge.removeDataAttribute(this._menu,"popper"),ue.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!jt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:jt(this._config.reference)?t=Ft(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=St(t,this._menu,i)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return Wi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(ge.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Qt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=ye.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Ht(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ye.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ai,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:ye.prev(this,Ii)[0]||ye.next(this,Ii)[0]||ye.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}ue.on(document,Si,Ii,qi.dataApiKeydownHandler),ue.on(document,Si,Pi,qi.dataApiKeydownHandler),ue.on(document,Li,qi.clearMenus),ue.on(document,Di,qi.clearMenus),ue.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),Kt(qi);const Vi="backdrop",Yi="show",Ki=`mousedown.bs.${Vi}`,Qi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Xi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Qi}static get DefaultType(){return Xi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void Qt(t);this._append();const e=this._getElement();this._config.isAnimated&&Rt(e),e.classList.add(Yi),this._emulateAnimation((()=>{Qt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Yi),this._emulateAnimation((()=>{this.dispose(),Qt(t)}))):Qt(t)}dispose(){this._isAppended&&(ue.off(this._element,Ki),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ft(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),ue.on(t,Ki,(()=>{Qt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Xt(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends _e{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),ue.off(document,Gi),ue.on(document,Ji,(t=>this._handleFocusin(t))),ue.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,ue.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ye.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&ge.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=ge.getDataAttribute(t,e);null!==i?(ge.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(jt(t))e(t);else for(const i of ye.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",En="show",An="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends be{constructor(t,e){super(t,e),this._dialog=ye.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||ue.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(ue.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){ue.off(window,hn),ue.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ye.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),Rt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,ue.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){ue.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),ue.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),ue.on(this._element,bn,(t=>{ue.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),ue.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(ue.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(An)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(An),this._queueCallback((()=>{this._element.classList.remove(An),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Yt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Yt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}ue.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=ye.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),ue.one(e,pn,(t=>{t.defaultPrevented||ue.one(e,fn,(()=>{Ht(this)&&this.focus()}))}));const i=ye.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),we(On),Kt(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Bn=`click${xn}${kn}`,Wn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends be{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||ue.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),ue.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(ue.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),ue.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():ue.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){ue.on(this._element,Wn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():ue.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}ue.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=ye.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Bt(this))return;ue.one(e,Fn,(()=>{Ht(this)&&this.focus()}));const i=ye.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),ue.on(window,Ln,(()=>{for(const t of ye.find(In))qn.getOrCreateInstance(t).show()})),ue.on(window,Hn,(()=>{for(const t of ye.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),we(qn),Kt(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Yn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Kn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Qn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Yn.has(i)||Boolean(Kn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Xn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends _e{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Xn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=ye.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?jt(e)?this._putElementInTemplate(Ft(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Qn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Qt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:Yt()?"left":"right",BOTTOM:"bottom",LEFT:Yt()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends be{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),ue.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=ue.trigger(this._element,this.constructor.eventName("show")),e=(Wt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),ue.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.on(t,"mouseover",zt);this._queueCallback((()=>{ue.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!ue.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))ue.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),ue.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=Qt(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return St(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Qt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Qt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)ue.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");ue.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),ue.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},ue.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=ge.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ft(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Kt(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},Es={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class As extends be{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return Es}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ft(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(ue.off(this._config.target,ms),ue.on(this._config.target,ms,bs,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ye.find(bs,this._config.target);for(const e of t){if(!e.hash||Bt(e))continue;const t=ye.findOne(decodeURI(e.hash),this._element);Ht(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),ue.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ye.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of ye.parents(t,".nav, .list-group"))for(const t of ye.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=ye.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=As.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}ue.on(window,gs,(()=>{for(const t of ye.find('[data-bs-spy="scroll"]'))As.getOrCreateInstance(t)})),Kt(As);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Bs="show",Ws=".dropdown-toggle",zs=`:not(${Ws})`,Rs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${zs}, .list-group-item${zs}, [role="tab"]${zs}, ${Rs}`,Vs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Ys extends be{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),ue.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?ue.trigger(e,Cs,{relatedTarget:t}):null;ue.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),ue.trigger(t,ks,{relatedTarget:e})):t.classList.add(Bs)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(ye.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),ue.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Bs)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Bt(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=Ut(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Ys.getOrCreateInstance(i).show())}_getChildren(){return ye.find(qs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=ye.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=ye.findOne(t,i);s&&s.classList.toggle(n,e)};n(Ws,Fs),n(".dropdown-menu",Bs),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Fs)}_getInnerElement(t){return t.matches(qs)?t:ye.findOne(qs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Ys.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}ue.on(document,Ls,Rs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Bt(this)||Ys.getOrCreateInstance(this).show()})),ue.on(window,Ds,(()=>{for(const t of ye.find(Vs))Ys.getOrCreateInstance(t)})),Kt(Ys);const Ks=".bs.toast",Qs=`mouseover${Ks}`,Xs=`mouseout${Ks}`,Us=`focusin${Ks}`,Gs=`focusout${Ks}`,Js=`hide${Ks}`,Zs=`hidden${Ks}`,to=`show${Ks}`,eo=`shown${Ks}`,io="hide",no="show",so="showing",oo={animation:"boolean",autohide:"boolean",delay:"number"},ro={animation:!0,autohide:!0,delay:5e3};class ao extends be{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return ro}static get DefaultType(){return oo}static get NAME(){return"toast"}show(){ue.trigger(this._element,to).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(io),Rt(this._element),this._element.classList.add(no,so),this._queueCallback((()=>{this._element.classList.remove(so),ue.trigger(this._element,eo),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(ue.trigger(this._element,Js).defaultPrevented||(this._element.classList.add(so),this._queueCallback((()=>{this._element.classList.add(io),this._element.classList.remove(so,no),ue.trigger(this._element,Zs)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(no),super.dispose()}isShown(){return this._element.classList.contains(no)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){ue.on(this._element,Qs,(t=>this._onInteraction(t,!0))),ue.on(this._element,Xs,(t=>this._onInteraction(t,!1))),ue.on(this._element,Us,(t=>this._onInteraction(t,!0))),ue.on(this._element,Gs,(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=ao.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named 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b/_static/scripts/bootstrap.js.LICENSE.txt @@ -0,0 +1,5 @@ +/*! + * Bootstrap v5.3.2 (https://getbootstrap.com/) + * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors) + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) + */ diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map new file mode 100644 index 0000000..e5bc157 --- /dev/null +++ b/_static/scripts/bootstrap.js.map @@ -0,0 +1 @@ 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n * Bootstrap v5.3.2 (https://getbootstrap.com/)\n * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n set(element, key, instance) {\n if (!elementMap.has(element)) {\n elementMap.set(element, new Map());\n }\n const instanceMap = elementMap.get(element);\n\n // make it clear we only want one instance per element\n // can be removed later when multiple key/instances are fine to be used\n if (!instanceMap.has(key) && instanceMap.size !== 0) {\n // eslint-disable-next-line no-console\n console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n return;\n }\n instanceMap.set(key, instance);\n },\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null;\n }\n return null;\n },\n remove(element, key) {\n if (!elementMap.has(element)) {\n return;\n }\n const instanceMap = elementMap.get(element);\n instanceMap.delete(key);\n\n // free up element references if there are no instances left for an element\n if (instanceMap.size === 0) {\n elementMap.delete(element);\n }\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n if (selector && window.CSS && window.CSS.escape) {\n // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n }\n return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n if (object === null || object === undefined) {\n return `${object}`;\n }\n return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID);\n } while (document.getElementById(prefix));\n return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0;\n }\n\n // Get transition-duration of the element\n let {\n transitionDuration,\n transitionDelay\n } = window.getComputedStyle(element);\n const floatTransitionDuration = Number.parseFloat(transitionDuration);\n const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n // Return 0 if element or transition duration is not found\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0;\n }\n\n // If multiple durations are defined, take the first\n transitionDuration = transitionDuration.split(',')[0];\n transitionDelay = transitionDelay.split(',')[0];\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n if (!object || typeof object !== 'object') {\n return false;\n }\n if (typeof object.jquery !== 'undefined') {\n object = object[0];\n }\n return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n // it's a jQuery object or a node element\n if (isElement(object)) {\n return object.jquery ? object[0] : object;\n }\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object));\n }\n return null;\n};\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false;\n }\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])');\n if (!closedDetails) {\n return elementIsVisible;\n }\n if (closedDetails !== element) {\n const summary = element.closest('summary');\n if (summary && summary.parentNode !== closedDetails) {\n return false;\n }\n if (summary === null) {\n return false;\n }\n }\n return elementIsVisible;\n};\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true;\n }\n if (element.classList.contains('disabled')) {\n return true;\n }\n if (typeof element.disabled !== 'undefined') {\n return element.disabled;\n }\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null;\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode();\n return root instanceof ShadowRoot ? root : null;\n }\n if (element instanceof ShadowRoot) {\n return element;\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null;\n }\n return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery;\n }\n return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback();\n }\n });\n }\n DOMContentLoadedCallbacks.push(callback);\n } else {\n callback();\n }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery();\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME;\n const JQUERY_NO_CONFLICT = $.fn[name];\n $.fn[name] = plugin.jQueryInterface;\n $.fn[name].Constructor = plugin;\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT;\n return plugin.jQueryInterface;\n };\n }\n });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback);\n return;\n }\n const durationPadding = 5;\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n let called = false;\n const handler = ({\n target\n }) => {\n if (target !== transitionElement) {\n return;\n }\n called = true;\n transitionElement.removeEventListener(TRANSITION_END, handler);\n execute(callback);\n };\n transitionElement.addEventListener(TRANSITION_END, handler);\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement);\n }\n }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length;\n let index = list.indexOf(activeElement);\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n }\n index += shouldGetNext ? 1 : -1;\n if (isCycleAllowed) {\n index = (index + listLength) % listLength;\n }\n return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n const uid = makeEventUid(element);\n element.uidEvent = uid;\n eventRegistry[uid] = eventRegistry[uid] || {};\n return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, {\n delegateTarget: element\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn);\n }\n return fn.apply(element, [event]);\n };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector);\n for (let {\n target\n } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue;\n }\n hydrateObj(event, {\n delegateTarget: target\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn);\n }\n return fn.apply(target, [event]);\n }\n }\n };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string';\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n let typeEvent = getTypeEvent(originalTypeEvent);\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent;\n }\n return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n return fn.call(this, event);\n }\n };\n };\n callable = wrapFunction(callable);\n }\n const events = getElementEvents(element);\n const handlers = events[typeEvent] || (events[typeEvent] = {});\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff;\n return;\n }\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n fn.delegationSelector = isDelegated ? handler : null;\n fn.callable = callable;\n fn.oneOff = oneOff;\n fn.uidEvent = uid;\n handlers[uid] = fn;\n element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector);\n if (!fn) {\n return;\n }\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {};\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n}\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '');\n return customEvents[event] || event;\n}\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false);\n },\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true);\n },\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n const inNamespace = typeEvent !== originalTypeEvent;\n const events = getElementEvents(element);\n const storeElementEvent = events[typeEvent] || {};\n const isNamespace = originalTypeEvent.startsWith('.');\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return;\n }\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n return;\n }\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n }\n }\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '');\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n },\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null;\n }\n const $ = getjQuery();\n const typeEvent = getTypeEvent(event);\n const inNamespace = event !== typeEvent;\n let jQueryEvent = null;\n let bubbles = true;\n let nativeDispatch = true;\n let defaultPrevented = false;\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args);\n $(element).trigger(jQueryEvent);\n bubbles = !jQueryEvent.isPropagationStopped();\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n defaultPrevented = jQueryEvent.isDefaultPrevented();\n }\n const evt = hydrateObj(new Event(event, {\n bubbles,\n cancelable: true\n }), args);\n if (defaultPrevented) {\n evt.preventDefault();\n }\n if (nativeDispatch) {\n element.dispatchEvent(evt);\n }\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault();\n }\n return evt;\n }\n};\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value;\n } catch (_unused) {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value;\n }\n });\n }\n }\n return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true;\n }\n if (value === 'false') {\n return false;\n }\n if (value === Number(value).toString()) {\n return Number(value);\n }\n if (value === '' || value === 'null') {\n return null;\n }\n if (typeof value !== 'string') {\n return value;\n }\n try {\n return JSON.parse(decodeURIComponent(value));\n } catch (_unused) {\n return value;\n }\n}\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n },\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n },\n getDataAttributes(element) {\n if (!element) {\n return {};\n }\n const attributes = {};\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '');\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n attributes[pureKey] = normalizeData(element.dataset[key]);\n }\n return attributes;\n },\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {};\n }\n static get DefaultType() {\n return {};\n }\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!');\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n return config;\n }\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n };\n }\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property];\n const valueType = isElement(value) ? 'element' : toType(value);\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n }\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super();\n element = getElement(element);\n if (!element) {\n return;\n }\n this._element = element;\n this._config = this._getConfig(config);\n Data.set(this._element, this.constructor.DATA_KEY, this);\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY);\n EventHandler.off(this._element, this.constructor.EVENT_KEY);\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null;\n }\n }\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated);\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY);\n }\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n }\n static get VERSION() {\n return VERSION;\n }\n static get DATA_KEY() {\n return `bs.${this.NAME}`;\n }\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`;\n }\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target');\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href');\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n return null;\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n }\n selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n }\n return selector;\n};\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n },\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector);\n },\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector));\n },\n parents(element, selector) {\n const parents = [];\n let ancestor = element.parentNode.closest(selector);\n while (ancestor) {\n parents.push(ancestor);\n ancestor = ancestor.parentNode.closest(selector);\n }\n return parents;\n },\n prev(element, selector) {\n let previous = element.previousElementSibling;\n while (previous) {\n if (previous.matches(selector)) {\n return [previous];\n }\n previous = previous.previousElementSibling;\n }\n return [];\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling;\n while (next) {\n if (next.matches(selector)) {\n return [next];\n }\n next = next.nextElementSibling;\n }\n return [];\n },\n focusableChildren(element) {\n const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n },\n getSelectorFromElement(element) {\n const selector = getSelector(element);\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null;\n }\n return null;\n },\n getElementFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.findOne(selector) : null;\n },\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.find(selector) : [];\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n const name = component.NAME;\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n const instance = component.getOrCreateInstance(target);\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]();\n });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$f;\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n if (closeEvent.defaultPrevented) {\n return;\n }\n this._element.classList.remove(CLASS_NAME_SHOW$8);\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n }\n\n // Private\n _destroyElement() {\n this._element.remove();\n EventHandler.trigger(this._element, EVENT_CLOSED);\n this.dispose();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$e;\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this);\n if (config === 'toggle') {\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n event.preventDefault();\n const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n const data = Button.getOrCreateInstance(button);\n data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n};\nconst DefaultType$c = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super();\n this._element = element;\n if (!element || !Swipe.isSupported()) {\n return;\n }\n this._config = this._getConfig(config);\n this._deltaX = 0;\n this._supportPointerEvents = Boolean(window.PointerEvent);\n this._initEvents();\n }\n\n // Getters\n static get Default() {\n return Default$c;\n }\n static get DefaultType() {\n return DefaultType$c;\n }\n static get NAME() {\n return NAME$d;\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY$9);\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX;\n return;\n }\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX;\n }\n }\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX;\n }\n this._handleSwipe();\n execute(this._config.endCallback);\n }\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n }\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX);\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return;\n }\n const direction = absDeltaX / this._deltaX;\n this._deltaX = 0;\n if (!direction) {\n return;\n }\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n }\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n }\n }\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n};\nconst DefaultType$b = {\n interval: '(number|boolean)',\n // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._interval = null;\n this._activeElement = null;\n this._isSliding = false;\n this.touchTimeout = null;\n this._swipeHelper = null;\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n this._addEventListeners();\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$b;\n }\n static get DefaultType() {\n return DefaultType$b;\n }\n static get NAME() {\n return NAME$c;\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT);\n }\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next();\n }\n }\n prev() {\n this._slide(ORDER_PREV);\n }\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element);\n }\n this._clearInterval();\n }\n cycle() {\n this._clearInterval();\n this._updateInterval();\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n }\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n return;\n }\n this.cycle();\n }\n to(index) {\n const items = this._getItems();\n if (index > items.length - 1 || index < 0) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n return;\n }\n const activeIndex = this._getItemIndex(this._getActive());\n if (activeIndex === index) {\n return;\n }\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n this._slide(order, items[index]);\n }\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose();\n }\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval;\n return config;\n }\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n }\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n }\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners();\n }\n }\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n }\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return;\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause();\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout);\n }\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n };\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n };\n this._swipeHelper = new Swipe(this._element, swipeConfig);\n }\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return;\n }\n const direction = KEY_TO_DIRECTION[event.key];\n if (direction) {\n event.preventDefault();\n this._slide(this._directionToOrder(direction));\n }\n }\n _getItemIndex(element) {\n return this._getItems().indexOf(element);\n }\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return;\n }\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n activeIndicator.removeAttribute('aria-current');\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n newActiveIndicator.setAttribute('aria-current', 'true');\n }\n }\n _updateInterval() {\n const element = this._activeElement || this._getActive();\n if (!element) {\n return;\n }\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n this._config.interval = elementInterval || this._config.defaultInterval;\n }\n _slide(order, element = null) {\n if (this._isSliding) {\n return;\n }\n const activeElement = this._getActive();\n const isNext = order === ORDER_NEXT;\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n if (nextElement === activeElement) {\n return;\n }\n const nextElementIndex = this._getItemIndex(nextElement);\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n });\n };\n const slideEvent = triggerEvent(EVENT_SLIDE);\n if (slideEvent.defaultPrevented) {\n return;\n }\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return;\n }\n const isCycling = Boolean(this._interval);\n this.pause();\n this._isSliding = true;\n this._setActiveIndicatorElement(nextElementIndex);\n this._activeElement = nextElement;\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n nextElement.classList.add(orderClassName);\n reflow(nextElement);\n activeElement.classList.add(directionalClassName);\n nextElement.classList.add(directionalClassName);\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName);\n nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n this._isSliding = false;\n triggerEvent(EVENT_SLID);\n };\n this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n if (isCycling) {\n this.cycle();\n }\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE);\n }\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n }\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element);\n }\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval);\n this._interval = null;\n }\n }\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n }\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n }\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n }\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config);\n if (typeof config === 'number') {\n data.to(config);\n return;\n }\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return;\n }\n event.preventDefault();\n const carousel = Carousel.getOrCreateInstance(target);\n const slideIndex = this.getAttribute('data-bs-slide-to');\n if (slideIndex) {\n carousel.to(slideIndex);\n carousel._maybeEnableCycle();\n return;\n }\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next();\n carousel._maybeEnableCycle();\n return;\n }\n carousel.prev();\n carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel);\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n parent: null,\n toggle: true\n};\nconst DefaultType$a = {\n parent: '(null|element)',\n toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isTransitioning = false;\n this._triggerArray = [];\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem);\n const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem);\n }\n }\n this._initializeChildren();\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n }\n if (this._config.toggle) {\n this.toggle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$a;\n }\n static get DefaultType() {\n return DefaultType$a;\n }\n static get NAME() {\n return NAME$b;\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide();\n } else {\n this.show();\n }\n }\n show() {\n if (this._isTransitioning || this._isShown()) {\n return;\n }\n let activeChildren = [];\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n toggle: false\n }));\n }\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n for (const activeInstance of activeChildren) {\n activeInstance.hide();\n }\n const dimension = this._getDimension();\n this._element.classList.remove(CLASS_NAME_COLLAPSE);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.style[dimension] = 0;\n this._addAriaAndCollapsedClass(this._triggerArray, true);\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n this._element.style[dimension] = '';\n EventHandler.trigger(this._element, EVENT_SHOWN$6);\n };\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n const scrollSize = `scroll${capitalizedDimension}`;\n this._queueCallback(complete, this._element, true);\n this._element.style[dimension] = `${this._element[scrollSize]}px`;\n }\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n const dimension = this._getDimension();\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger);\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false);\n }\n }\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE);\n EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n };\n this._element.style[dimension] = '';\n this._queueCallback(complete, this._element, true);\n }\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW$7);\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle); // Coerce string values\n config.parent = getElement(config.parent);\n return config;\n }\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n }\n _initializeChildren() {\n if (!this._config.parent) {\n return;\n }\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element);\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected));\n }\n }\n }\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n }\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return;\n }\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n element.setAttribute('aria-expanded', isOpen);\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {};\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false;\n }\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config);\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n event.preventDefault();\n }\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, {\n toggle: false\n }).toggle();\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n};\nconst DefaultType$9 = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._popper = null;\n this._parent = this._element.parentNode; // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n this._inNavbar = this._detectNavbar();\n }\n\n // Getters\n static get Default() {\n return Default$9;\n }\n static get DefaultType() {\n return DefaultType$9;\n }\n static get NAME() {\n return NAME$a;\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show();\n }\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n if (showEvent.defaultPrevented) {\n return;\n }\n this._createPopper();\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n this._element.focus();\n this._element.setAttribute('aria-expanded', true);\n this._menu.classList.add(CLASS_NAME_SHOW$6);\n this._element.classList.add(CLASS_NAME_SHOW$6);\n EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n }\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n this._completeHide(relatedTarget);\n }\n dispose() {\n if (this._popper) {\n this._popper.destroy();\n }\n super.dispose();\n }\n update() {\n this._inNavbar = this._detectNavbar();\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n if (this._popper) {\n this._popper.destroy();\n }\n this._menu.classList.remove(CLASS_NAME_SHOW$6);\n this._element.classList.remove(CLASS_NAME_SHOW$6);\n this._element.setAttribute('aria-expanded', 'false');\n Manipulator.removeDataAttribute(this._menu, 'popper');\n EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n }\n _getConfig(config) {\n config = super._getConfig(config);\n if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n }\n return config;\n }\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n }\n let referenceElement = this._element;\n if (this._config.reference === 'parent') {\n referenceElement = this._parent;\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference);\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference;\n }\n const popperConfig = this._getPopperConfig();\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n }\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n }\n _getPlacement() {\n const parentDropdown = this._parent;\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER;\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n }\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n }\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null;\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n };\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }];\n }\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _selectMenuItem({\n key,\n target\n }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n if (!items.length) {\n return;\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n return;\n }\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle);\n if (!context || context._config.autoClose === false) {\n continue;\n }\n const composedPath = event.composedPath();\n const isMenuTarget = composedPath.includes(context._menu);\n if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n continue;\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue;\n }\n const relatedTarget = {\n relatedTarget: context._element\n };\n if (event.type === 'click') {\n relatedTarget.clickEvent = event;\n }\n context._completeHide(relatedTarget);\n }\n }\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName);\n const isEscapeEvent = event.key === ESCAPE_KEY$2;\n const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return;\n }\n if (isInput && !isEscapeEvent) {\n return;\n }\n event.preventDefault();\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n const instance = Dropdown.getOrCreateInstance(getToggleButton);\n if (isUpOrDownEvent) {\n event.stopPropagation();\n instance.show();\n instance._selectMenuItem(event);\n return;\n }\n if (instance._isShown()) {\n // else is escape and we check if it is shown\n event.stopPropagation();\n instance.hide();\n getToggleButton.focus();\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n event.preventDefault();\n Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true,\n // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isAppended = false;\n this._element = null;\n }\n\n // Getters\n static get Default() {\n return Default$8;\n }\n static get DefaultType() {\n return DefaultType$8;\n }\n static get NAME() {\n return NAME$9;\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._append();\n const element = this._getElement();\n if (this._config.isAnimated) {\n reflow(element);\n }\n element.classList.add(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n execute(callback);\n });\n }\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n this.dispose();\n execute(callback);\n });\n }\n dispose() {\n if (!this._isAppended) {\n return;\n }\n EventHandler.off(this._element, EVENT_MOUSEDOWN);\n this._element.remove();\n this._isAppended = false;\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div');\n backdrop.className = this._config.className;\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE$4);\n }\n this._element = backdrop;\n }\n return this._element;\n }\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement);\n return config;\n }\n _append() {\n if (this._isAppended) {\n return;\n }\n const element = this._getElement();\n this._config.rootElement.append(element);\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback);\n });\n this._isAppended = true;\n }\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n autofocus: 'boolean',\n trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isActive = false;\n this._lastTabNavDirection = null;\n }\n\n // Getters\n static get Default() {\n return Default$7;\n }\n static get DefaultType() {\n return DefaultType$7;\n }\n static get NAME() {\n return NAME$8;\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return;\n }\n if (this._config.autofocus) {\n this._config.trapElement.focus();\n }\n EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n this._isActive = true;\n }\n deactivate() {\n if (!this._isActive) {\n return;\n }\n this._isActive = false;\n EventHandler.off(document, EVENT_KEY$5);\n }\n\n // Private\n _handleFocusin(event) {\n const {\n trapElement\n } = this._config;\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return;\n }\n const elements = SelectorEngine.focusableChildren(trapElement);\n if (elements.length === 0) {\n trapElement.focus();\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus();\n } else {\n elements[0].focus();\n }\n }\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return;\n }\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body;\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth;\n return Math.abs(window.innerWidth - documentWidth);\n }\n hide() {\n const width = this.getWidth();\n this._disableOverFlow();\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n }\n reset() {\n this._resetElementAttributes(this._element, 'overflow');\n this._resetElementAttributes(this._element, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n }\n isOverflowing() {\n return this.getWidth() > 0;\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow');\n this._element.style.overflow = 'hidden';\n }\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth();\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return;\n }\n this._saveInitialAttribute(element, styleProperty);\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty);\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue);\n }\n }\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty);\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty);\n return;\n }\n Manipulator.removeDataAttribute(element, styleProperty);\n element.style.setProperty(styleProperty, value);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector);\n return;\n }\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel);\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n backdrop: true,\n focus: true,\n keyboard: true\n};\nconst DefaultType$6 = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._isShown = false;\n this._isTransitioning = false;\n this._scrollBar = new ScrollBarHelper();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$6;\n }\n static get DefaultType() {\n return DefaultType$6;\n }\n static get NAME() {\n return NAME$7;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._isTransitioning = true;\n this._scrollBar.hide();\n document.body.classList.add(CLASS_NAME_OPEN);\n this._adjustDialog();\n this._backdrop.show(() => this._showElement(relatedTarget));\n }\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._isShown = false;\n this._isTransitioning = true;\n this._focustrap.deactivate();\n this._element.classList.remove(CLASS_NAME_SHOW$4);\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n }\n dispose() {\n EventHandler.off(window, EVENT_KEY$4);\n EventHandler.off(this._dialog, EVENT_KEY$4);\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n handleUpdate() {\n this._adjustDialog();\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop),\n // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element);\n }\n this._element.style.display = 'block';\n this._element.removeAttribute('aria-hidden');\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.scrollTop = 0;\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n if (modalBody) {\n modalBody.scrollTop = 0;\n }\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_SHOW$4);\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate();\n }\n this._isTransitioning = false;\n EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n relatedTarget\n });\n };\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n if (event.key !== ESCAPE_KEY$1) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n this._triggerBackdropTransition();\n });\n EventHandler.on(window, EVENT_RESIZE$1, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog();\n }\n });\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return;\n }\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition();\n return;\n }\n if (this._config.backdrop) {\n this.hide();\n }\n });\n });\n }\n _hideModal() {\n this._element.style.display = 'none';\n this._element.setAttribute('aria-hidden', true);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n this._isTransitioning = false;\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN);\n this._resetAdjustments();\n this._scrollBar.reset();\n EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n });\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE$3);\n }\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n if (hideEvent.defaultPrevented) {\n return;\n }\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const initialOverflowY = this._element.style.overflowY;\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return;\n }\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden';\n }\n this._element.classList.add(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY;\n }, this._dialog);\n }, this._dialog);\n this._element.focus();\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const scrollbarWidth = this._scrollBar.getWidth();\n const isBodyOverflowing = scrollbarWidth > 0;\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n }\n _resetAdjustments() {\n this._element.style.paddingLeft = '';\n this._element.style.paddingRight = '';\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](relatedTarget);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$4, () => {\n if (isVisible(this)) {\n this.focus();\n }\n });\n });\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide();\n }\n const data = Modal.getOrCreateInstance(target);\n data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n backdrop: true,\n keyboard: true,\n scroll: false\n};\nconst DefaultType$5 = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isShown = false;\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$5;\n }\n static get DefaultType() {\n return DefaultType$5;\n }\n static get NAME() {\n return NAME$6;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._backdrop.show();\n if (!this._config.scroll) {\n new ScrollBarHelper().hide();\n }\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.classList.add(CLASS_NAME_SHOWING$1);\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate();\n }\n this._element.classList.add(CLASS_NAME_SHOW$3);\n this._element.classList.remove(CLASS_NAME_SHOWING$1);\n EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n relatedTarget\n });\n };\n this._queueCallback(completeCallBack, this._element, true);\n }\n hide() {\n if (!this._isShown) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._focustrap.deactivate();\n this._element.blur();\n this._isShown = false;\n this._element.classList.add(CLASS_NAME_HIDING);\n this._backdrop.hide();\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n if (!this._config.scroll) {\n new ScrollBarHelper().reset();\n }\n EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n };\n this._queueCallback(completeCallback, this._element, true);\n }\n dispose() {\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n return;\n }\n this.hide();\n };\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop);\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n });\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$3, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus();\n }\n });\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide();\n }\n const data = Offcanvas.getOrCreateInstance(target);\n data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show();\n }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide();\n }\n }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase();\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n }\n return true;\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml;\n }\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml);\n }\n const domParser = new window.DOMParser();\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase();\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove();\n continue;\n }\n const attributeList = [].concat(...element.attributes);\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName);\n }\n }\n }\n return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n allowList: DefaultAllowlist,\n content: {},\n // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
'\n};\nconst DefaultType$4 = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n};\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n }\n\n // Getters\n static get Default() {\n return Default$4;\n }\n static get DefaultType() {\n return DefaultType$4;\n }\n static get NAME() {\n return NAME$5;\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n }\n hasContent() {\n return this.getContent().length > 0;\n }\n changeContent(content) {\n this._checkContent(content);\n this._config.content = {\n ...this._config.content,\n ...content\n };\n return this;\n }\n toHtml() {\n const templateWrapper = document.createElement('div');\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector);\n }\n const template = templateWrapper.children[0];\n const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n if (extraClass) {\n template.classList.add(...extraClass.split(' '));\n }\n return template;\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config);\n this._checkContent(config.content);\n }\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({\n selector,\n entry: content\n }, DefaultContentType);\n }\n }\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template);\n if (!templateElement) {\n return;\n }\n content = this._resolvePossibleFunction(content);\n if (!content) {\n templateElement.remove();\n return;\n }\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement);\n return;\n }\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content);\n return;\n }\n templateElement.textContent = content;\n }\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this]);\n }\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = '';\n templateElement.append(element);\n return;\n }\n templateElement.textContent = element.textContent;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
' + '
' + '
' + '
',\n title: '',\n trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n }\n super(element, config);\n\n // Private\n this._isEnabled = true;\n this._timeout = 0;\n this._isHovered = null;\n this._activeTrigger = {};\n this._popper = null;\n this._templateFactory = null;\n this._newContent = null;\n\n // Protected\n this.tip = null;\n this._setListeners();\n if (!this._config.selector) {\n this._fixTitle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$3;\n }\n static get DefaultType() {\n return DefaultType$3;\n }\n static get NAME() {\n return NAME$4;\n }\n\n // Public\n enable() {\n this._isEnabled = true;\n }\n disable() {\n this._isEnabled = false;\n }\n toggleEnabled() {\n this._isEnabled = !this._isEnabled;\n }\n toggle() {\n if (!this._isEnabled) {\n return;\n }\n this._activeTrigger.click = !this._activeTrigger.click;\n if (this._isShown()) {\n this._leave();\n return;\n }\n this._enter();\n }\n dispose() {\n clearTimeout(this._timeout);\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n }\n this._disposePopper();\n super.dispose();\n }\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements');\n }\n if (!(this._isWithContent() && this._isEnabled)) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n const shadowRoot = findShadowRoot(this._element);\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n if (showEvent.defaultPrevented || !isInTheDom) {\n return;\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper();\n const tip = this._getTipElement();\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n const {\n container\n } = this._config;\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip);\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n }\n this._popper = this._createPopper(tip);\n tip.classList.add(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n if (this._isHovered === false) {\n this._leave();\n }\n this._isHovered = false;\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n hide() {\n if (!this._isShown()) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n if (hideEvent.defaultPrevented) {\n return;\n }\n const tip = this._getTipElement();\n tip.classList.remove(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n this._activeTrigger[TRIGGER_CLICK] = false;\n this._activeTrigger[TRIGGER_FOCUS] = false;\n this._activeTrigger[TRIGGER_HOVER] = false;\n this._isHovered = null; // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return;\n }\n if (!this._isHovered) {\n this._disposePopper();\n }\n this._element.removeAttribute('aria-describedby');\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n update() {\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle());\n }\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n }\n return this.tip;\n }\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml();\n\n // TODO: remove this check in v6\n if (!tip) {\n return null;\n }\n tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n const tipId = getUID(this.constructor.NAME).toString();\n tip.setAttribute('id', tipId);\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE$2);\n }\n return tip;\n }\n setContent(content) {\n this._newContent = content;\n if (this._isShown()) {\n this._disposePopper();\n this.show();\n }\n }\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content);\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n });\n }\n return this._templateFactory;\n }\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n };\n }\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n }\n _isAnimated() {\n return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n }\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n }\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element]);\n const attachment = AttachmentMap[placement.toUpperCase()];\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element]);\n }\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [{\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }, {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n }, {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n }\n }]\n };\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _setListeners() {\n const triggers = this._config.trigger.split(' ');\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context.toggle();\n });\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n context._enter();\n });\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n context._leave();\n });\n }\n }\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide();\n }\n };\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n }\n _fixTitle() {\n const title = this._element.getAttribute('title');\n if (!title) {\n return;\n }\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title);\n }\n this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title');\n }\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true;\n return;\n }\n this._isHovered = true;\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show();\n }\n }, this._config.delay.show);\n }\n _leave() {\n if (this._isWithActiveTrigger()) {\n return;\n }\n this._isHovered = false;\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide();\n }\n }, this._config.delay.hide);\n }\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout);\n this._timeout = setTimeout(handler, timeout);\n }\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true);\n }\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element);\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute];\n }\n }\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n };\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container);\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n };\n }\n if (typeof config.title === 'number') {\n config.title = config.title.toString();\n }\n if (typeof config.content === 'number') {\n config.content = config.content.toString();\n }\n return config;\n }\n _getDelegateConfig() {\n const config = {};\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value;\n }\n }\n config.selector = false;\n config.trigger = 'manual';\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config;\n }\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy();\n this._popper = null;\n }\n if (this.tip) {\n this.tip.remove();\n this.tip = null;\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
' + '
' + '

' + '
' + '
',\n trigger: 'click'\n};\nconst DefaultType$2 = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default$2;\n }\n static get DefaultType() {\n return DefaultType$2;\n }\n static get NAME() {\n return NAME$3;\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent();\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n };\n }\n _getContent() {\n return this._resolvePossibleFunction(this._config.content);\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n offset: null,\n // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n offset: '(number|null)',\n // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map();\n this._observableSections = new Map();\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n this._activeTarget = null;\n this._observer = null;\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n };\n this.refresh(); // initialize\n }\n\n // Getters\n static get Default() {\n return Default$1;\n }\n static get DefaultType() {\n return DefaultType$1;\n }\n static get NAME() {\n return NAME$2;\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables();\n this._maybeEnableSmoothScroll();\n if (this._observer) {\n this._observer.disconnect();\n } else {\n this._observer = this._getNewObserver();\n }\n for (const section of this._observableSections.values()) {\n this._observer.observe(section);\n }\n }\n dispose() {\n this._observer.disconnect();\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body;\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n }\n return config;\n }\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return;\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK);\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash);\n if (observableSection) {\n event.preventDefault();\n const root = this._rootElement || window;\n const height = observableSection.offsetTop - this._element.offsetTop;\n if (root.scrollTo) {\n root.scrollTo({\n top: height,\n behavior: 'smooth'\n });\n return;\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height;\n }\n });\n }\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n };\n return new IntersectionObserver(entries => this._observerCallback(entries), options);\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n this._process(targetElement(entry));\n };\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n this._previousScrollData.parentScrollTop = parentScrollTop;\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null;\n this._clearActiveClass(targetElement(entry));\n continue;\n }\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry);\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return;\n }\n continue;\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry);\n }\n }\n }\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map();\n this._observableSections = new Map();\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue;\n }\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor);\n this._observableSections.set(anchor.hash, observableSection);\n }\n }\n }\n _process(target) {\n if (this._activeTarget === target) {\n return;\n }\n this._clearActiveClass(this._config.target);\n this._activeTarget = target;\n target.classList.add(CLASS_NAME_ACTIVE$1);\n this._activateParents(target);\n EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n relatedTarget: target\n });\n }\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n return;\n }\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both