From 5709f683a746b8bfb577c67fece13bef6f7e3942 Mon Sep 17 00:00:00 2001
From: khersameesh24 <khersameesh24@gmail.com>
Date: Fri, 11 Oct 2024 15:21:33 +0200
Subject: [PATCH] added xenium bundle for spatialxe pipeline

---
 testdata/.end-of-run                          |      0
 ...ime_MultiCellSeg_Mouse_Ileum_tiny_outs.zip |    Bin 0 -> 11914889 bytes
 testdata/analysis.tar.gz                      |    Bin 0 -> 5010 bytes
 testdata/analysis.zarr.zip                    |    Bin 0 -> 16350 bytes
 testdata/analysis_summary.html                |    465 +
 testdata/aux_outputs.tar.gz                   |    Bin 0 -> 1902099 bytes
 testdata/cell_boundaries.csv.gz               |    Bin 0 -> 8473 bytes
 testdata/cell_boundaries.parquet              |    Bin 0 -> 5369 bytes
 testdata/cell_feature_matrix.h5               |    Bin 0 -> 122867 bytes
 testdata/cell_feature_matrix.tar.gz           |    Bin 0 -> 77738 bytes
 testdata/cell_feature_matrix.zarr.zip         |    Bin 0 -> 1218087 bytes
 testdata/cells.csv.gz                         |    Bin 0 -> 2867 bytes
 testdata/cells.parquet                        |    Bin 0 -> 5469 bytes
 testdata/cells.zarr.zip                       |    Bin 0 -> 180854 bytes
 testdata/experiment.xenium                    |     56 +
 testdata/gene_panel.json                      | 122178 +++++++++++++++
 testdata/metrics_summary.csv                  |      2 +
 testdata/morphology.ome.tif                   |    Bin 0 -> 981879 bytes
 .../morphology_focus_0000.ome.tif             |    Bin 0 -> 97129 bytes
 .../morphology_focus_0001.ome.tif             |    Bin 0 -> 85719 bytes
 .../morphology_focus_0002.ome.tif             |    Bin 0 -> 71601 bytes
 .../morphology_focus_0003.ome.tif             |    Bin 0 -> 72861 bytes
 testdata/nucleus_boundaries.csv.gz            |    Bin 0 -> 5004 bytes
 testdata/nucleus_boundaries.parquet           |    Bin 0 -> 3774 bytes
 testdata/transcripts.parquet                  |    Bin 0 -> 35123 bytes
 testdata/transcripts.zarr.zip                 |    Bin 0 -> 5196386 bytes
 26 files changed, 122701 insertions(+)
 create mode 100644 testdata/.end-of-run
 create mode 100644 testdata/Xenium_Prime_MultiCellSeg_Mouse_Ileum_tiny_outs.zip
 create mode 100644 testdata/analysis.tar.gz
 create mode 100644 testdata/analysis.zarr.zip
 create mode 100644 testdata/analysis_summary.html
 create mode 100644 testdata/aux_outputs.tar.gz
 create mode 100644 testdata/cell_boundaries.csv.gz
 create mode 100644 testdata/cell_boundaries.parquet
 create mode 100644 testdata/cell_feature_matrix.h5
 create mode 100644 testdata/cell_feature_matrix.tar.gz
 create mode 100644 testdata/cell_feature_matrix.zarr.zip
 create mode 100644 testdata/cells.csv.gz
 create mode 100644 testdata/cells.parquet
 create mode 100644 testdata/cells.zarr.zip
 create mode 100644 testdata/experiment.xenium
 create mode 100644 testdata/gene_panel.json
 create mode 100644 testdata/metrics_summary.csv
 create mode 100644 testdata/morphology.ome.tif
 create mode 100644 testdata/morphology_focus/morphology_focus_0000.ome.tif
 create mode 100644 testdata/morphology_focus/morphology_focus_0001.ome.tif
 create mode 100644 testdata/morphology_focus/morphology_focus_0002.ome.tif
 create mode 100644 testdata/morphology_focus/morphology_focus_0003.ome.tif
 create mode 100644 testdata/nucleus_boundaries.csv.gz
 create mode 100644 testdata/nucleus_boundaries.parquet
 create mode 100644 testdata/transcripts.parquet
 create mode 100644 testdata/transcripts.zarr.zip

diff --git a/testdata/.end-of-run b/testdata/.end-of-run
new file mode 100644
index 000000000..e69de29bb
diff --git a/testdata/Xenium_Prime_MultiCellSeg_Mouse_Ileum_tiny_outs.zip b/testdata/Xenium_Prime_MultiCellSeg_Mouse_Ileum_tiny_outs.zip
new file mode 100644
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diff --git a/testdata/analysis.tar.gz b/testdata/analysis.tar.gz
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+                data-key="nuclear_gene_transcript_highquality_2d_density_per_100um2"
+                data-component="Metric"
+              ></div>
+            </div>
+            <div class="col-sm-3">
+              <div
+                data-key="total_transcripts_high_quality"
+                data-component="Metric"
+              ></div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      <!-- Sample Region -->
+      <div class="row">
+        <div class="col">
+          <div class="row">
+            <div class="col summary_border">
+              <div class="row">
+                <div data-header data-title="Sample Region Summary"></div>
+              </div>
+              <div class="row">
+                <div data-key="region_info_table" data-component="Table"></div>
+              </div>
+            </div>
+            <div class="col summary_border">
+              <div class="row">
+                <div
+                  data-key="overview_scan"
+                  data-component="ImageWithOverlay"
+                ></div>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      <!-- Morphology Details -->
+      <div class="row summary_border">
+        <!--show the density plot iff it's available-->
+        <!-- prettier-ignore -->
+        <div class="col">
+    <div class="row">
+        <div data-key="morphology_plot_helptext" data-component="DynamicHelptext"></div>
+    </div>
+    <div class="row">
+        <div class="col">
+            <div data-key="density_plot" data-component="DensityPlot"></div>
+        </div>
+    </div>
+</div>
+
+        <!-- prettier-ignore -->
+        
+      </div>
+
+      <div class="row">
+        <div class="col">
+          <div class="row summary_border">
+            <div class="col">
+              <div class="row">
+                <div data-header data-title="Run Information"></div>
+              </div>
+              <div class="row">
+                <div data-key="run_info_table" data-component="Table"></div>
+              </div>
+            </div>
+          </div>
+          <div class="row"></div>
+          <div class="row summary_border">
+            <div class="col">
+              <div class="row">
+                <div data-header data-title="Software"></div>
+              </div>
+              <div class="row">
+                <div data-key="software_table" data-component="Table"></div>
+              </div>
+            </div>
+          </div>
+        </div>
+        <div class="col">
+          <div class="row summary_border">
+            <div class="col">
+              <div class="row">
+                <div data-header data-title="Panel Specification"></div>
+              </div>
+              <div class="row">
+                <div data-key="panel_spec_table" data-component="Table"></div>
+              </div>
+            </div>
+          </div>
+
+          <!-- Xenium Ranger Details -->
+          <!-- prettier-ignore -->
+          
+        </div>
+      </div>
+
+      <!-- prettier-ignore -->
+      <div data-component="Hidden">
+    <div class="row">
+        <div data-header data-title="Supplementary data quality metrics"></div>
+    </div>
+
+    <div class="row summary_border">
+        <div class="col-sm-6">
+            <div class="row">
+                <div data-key="debug_info_table_helptext" data-component="DynamicHelptext"></div>
+            </div>
+            <div class="row">
+                <div data-key="debug_info_table" data-component="Table"></div>
+            </div>
+        </div>
+        <div class="col-sm-6">
+            <div data-key="apt_table" data-component="Table"></div>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class="col-sm-6 summary_border">
+            <div class="row">
+                <div data-key="fov_missing_transcript_rate_plot_helptext" data-component="DynamicHelptext"></div>
+            </div>
+            <div class="row">
+                <div data-key="fov_missing_transcript_rate_plot" data-component="Plot"></div>
+            </div>
+        </div>
+
+        <div class="col-sm-6 summary_border">
+            <div class="row">
+                <div data-key="missing_transcript_plot_header" data-component="HeaderWithHelp"></div>
+            </div>
+            <div class="row">
+                <div data-key="missing_transcript_plot" data-component="Plot"></div>
+            </div>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class="col-sm-6 summary_border">
+            <div class="row">
+                <div data-key="puncta_density_plot_header" data-component="HeaderWithHelp"></div>
+            </div>
+            <div class="row">
+                <div data-key="puncta_density_plot" data-component="Plot"></div>
+            </div>
+        </div>
+
+        <div class="col-sm-6 summary_border">
+            <div class="row">
+                <div data-key="saturation_per_bit_plot_header" data-component="HeaderWithHelp"></div>
+            </div>
+            <div class="row">
+                <div data-key="saturation_per_bit_plot_dark" data-component="Plot"></div>
+            </div>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class="col summary_border">
+            <div class="row">
+                <div data-key="slot_coincidence_counts_heatmap_helptext" data-component="DynamicHelptext"></div>
+            </div>
+            <div class="row">
+                <div data-key="slot_coincidence_counts_heatmap" data-component="RawImage"></div>
+            </div>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class="col summary_border">
+            <div class="row">
+                <div data-header data-title="FoV layout"></div>
+            </div>
+            <div class="row">
+                <div data-key="fov_layout_plot" data-component="RawImage"></div>
+            </div>
+        </div>
+    </div>
+</div>
+
+    </div>
+
+    <!--                                                           -->
+
+    <div class="tab-wrapper" data-event-key="decoding" data-title="Decoding">
+      <!-- Layout                   -->
+      <!-- +--------- + ----------+ -->
+      <!-- |  gene-   | dec yield | -->
+      <!-- | specific +-----------| -->
+      <!-- | quality  | neg ctrl  | -->
+      <!-- +----------+-----------+ -->
+      <!--                          -->
+      <!-- +----------------------+ -->
+      <!-- | counts     selection | -->
+      <!-- | per          table   | -->
+      <!-- | gene                 | -->
+      <!-- +----------------------+ -->
+      <!--                          -->
+      <!-- +----------+-----------+ -->
+      <!-- | q-score  | Tx        | -->
+      <!-- | heatmap  | quality   | -->
+      <!-- |          | histogram | -->
+      <!-- +----------+-----------+ -->
+
+      <div class="row">
+        <!-- Gene-specific transcript quality -->
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="gene_specific_transcript_quality_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div
+              data-key="gene_specific_transcript_quality"
+              data-component="GeneSpecificTranscriptQuality"
+            ></div>
+          </div>
+        </div>
+
+        <div class="col">
+          <!-- Table of decoding metrics -->
+          <div class="summary_border">
+            <div class="row">
+              <div
+                data-key="decoding_yield_table_helptext"
+                data-component="DynamicHelptext"
+              ></div>
+            </div>
+            <div class="row">
+              <div data-key="decoding_yield_table" data-component="Table"></div>
+            </div>
+          </div>
+
+          <!-- Table of negative control metrics -->
+          <div class="summary_border">
+            <div class="row">
+              <div
+                data-key="neg_controls_table_helptext"
+                data-component="DynamicHelptext"
+              ></div>
+            </div>
+            <div class="row">
+              <div data-key="neg_controls_table" data-component="Table"></div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      <div class="row">
+        <!-- Plot of the gene counts with a selection table  -->
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="codeword_plot_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div data-key="codeword_plot" data-component="CodewordPlot"></div>
+          </div>
+        </div>
+      </div>
+    </div>
+
+    <!--                                                           -->
+
+    <div
+      class="tab-wrapper"
+      data-event-key="segmentation"
+      data-title="Cell Segmentation"
+    >
+      <div class="row">
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="segmentation_table_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div data-key="segmentation_table" data-component="Table"></div>
+          </div>
+        </div>
+
+        <!-- prettier-ignore -->
+        <div class="col summary_border">
+    <div class="row">
+        <div data-key="stain_cell_segmentation_table_helptext" data-component="DynamicHelptext"></div>
+    </div>
+    <div class="row">
+        <div data-key="stain_cell_segmentation_table" data-component="Table"></div>
+    </div>
+</div>
+
+      </div>
+
+      <div class="row">
+        <!-- Cell size distribution -->
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="cell_size_distribution_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div data-key="cell_size_distribution" data-component="Plot"></div>
+          </div>
+        </div>
+
+        <!-- Genes per call -->
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="genes_per_cell_plot_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div data-key="genes_per_cell_plot" data-component="Plot"></div>
+          </div>
+        </div>
+      </div>
+
+      <div class="row">
+        <!-- Transcripts per cell -->
+        <div class="col summary_border">
+          <div class="row">
+            <div
+              data-key="transcripts_per_cell_plot_helptext"
+              data-component="DynamicHelptext"
+            ></div>
+          </div>
+          <div class="row">
+            <div
+              data-key="transcripts_per_cell_plot"
+              data-component="Plot"
+            ></div>
+          </div>
+        </div>
+      </div>
+    </div>
+
+    <!-- Analysis ----------->
+    <!-- prettier-ignore -->
+    <div class="tab-wrapper" data-event-key="analysis" data-title=Analysis>
+    <div class="row summary_border">
+        <div class="col">
+            <div class="row">
+                <div data-key="transcript_plot_helptext" data-component="DynamicHelptext"></div>
+            </div>
+            <div class="row">
+                <div class="col">
+                    <div class="row transcript-plot-wrapper">
+                        <div data-key="transcript_spatial_plot" data-component="Plot"></div>
+                    </div>
+                </div>
+                <div class="col">
+                    <div class="row transcript-plot-wrapper">
+                        <div data-key="transcript_umap_plot" data-component="Plot"></div>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <div class="row">
+        <div data-key="clustering_selector" data-component="ClusteringSelector"></div>
+    </div>
+</div>
+
+
+    <!-- Image QC ----------->
+    <!-- prettier-ignore -->
+    <div class="tab-wrapper" data-event-key="image_qc" data-title="Image QC">
+
+    <div class="col summary_border">
+    <div class="row">
+        <div data-key="morphology_focus_thumbnail_plot_helptext" data-component="DynamicHelptext"></div>
+    </div>
+    <div class="row">
+        <div data-key="morphology_focus_thumbnail_plot" data-component="RawImage"></div>
+    </div>
+</div>
+
+
+    <div class="col summary_border">
+    <div class="row">
+        <div data-key="morphology_background_thumbnail_plot_helptext" data-component="DynamicHelptext"></div>
+    </div>
+    <div class="row">
+        <div data-key="morphology_background_thumbnail_plot" data-component="RawImage"></div>
+    </div>
+</div>
+
+
+    <div class="col summary_border">
+        <div class="row">
+            <div data-key="decoding_image_thumbnail_plot_helptext" data-component="DynamicHelptext"></div>
+        </div>
+        <div class="row">
+            <div data-key="decoding_image_thumbnail_plot" data-component="RawImage"></div>
+        </div>
+    </div>
+
+</div>
+
+  </div>
+</div>
+
+
+    <script type="text/javascript">
+      const data = 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on the legend labels right of the plot to show or hide individual categories.","For each feature, the total number of high-quality decoded transcripts on the x-axis are plotted against the mean quality of all decoded transcripts on the y-axis. Transcript count and mean quality should be higher for panel genes (pre-designed, custom) than the negative controls. Genes with low quality may indicate problems in the performance of probes targeting that gene. Unassigned codewords are shown for confirming the correct panel was used. High counts and mean quality of many unassigned codewords are evidence that the selected gene panel does not match the added probes."]]],"title":"Gene-Specific Transcript Quality"},"genes_per_cell_plot":{"data":[{"customdata":["0 - 4"],"hovertemplate":"%{y} Cells with %{customdata}\u003cextra\u003e\u003c/extra\u003e","marker":{"color":"#66CCEE"},"type":"bar","x":[2.5],"y":[21]}],"layout":{"hovermode":"x","xaxis":{"title":{"text":"Number of genes per cell"}},"yaxis":{"title":{"text":"Number of cells"}}}},"genes_per_cell_plot_helptext":{"data":[["",["For all cells with transcripts, a histogram of the total number of unique, panel genes found in each cell."]]],"title":"Genes Per Cell"},"morphology_plot_helptext":{"data":[["",["Shows a DAPI image of the analyzed region along with a heatmap overlay of binned counts of high quality decoded transcripts, binned counts of negative controls, or average decoded transcript Q-scores. Use the Bin Size radio buttons to switch heatmap bin size. Use the Morphology Image Opacity and Heatmap Opacity sliders to adjust DAPI and heatmap layer opacities. Use the Color Scale Max slider to adjust the maximum value in the color scale. Values exceeding the maximum value will be displayed using the maximum color. Hover over the plot to see counts or Q-Scores at each location. If the value is zero it will display as NaN.  Click-drag to pan and scroll to zoom.","Reset axes by double-clicking in the plot."]]],"title":"Region Details"},"navbar_info":{"cols":[["Run name","run"],["Region name","region"],["Run start time","May 29, 2024, 00:14 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"},"slot_coincidence_counts_heatmap_helptext":{"title":"Per-channel punctate coincidence counts","data":[["",["\nThese heatmaps highlight any potential inefficiencies in stripping of\nfluorescent signal between cycles. The panels show an NxN matrix for each\nchannel where N is the number of cycles. Inefficient stripping will manifest as\na bright band immediately on top of the diagonal, i.e., entries (1, 2), (2, 3),\netc., and may impact decoding puncta in regions of high transcript density.\n"]]]},"has_analysis":1,"alarm_options":{"hide_alert_analysis":true,"use_triangle_icon_for_errors":true},"num_cells_detected":{"name":"Number of cells detected","metric":"36"},"median_transcripts_per_non_empty_cell":{"name":"Median transcripts per cell","metric":"18"},"nuclear_gene_transcript_highquality_2d_density_per_100um2":{"name":"Nuclear transcripts per 100 \u00b5m\u00b2","metric":"28.3"},"total_transcripts_high_quality":{"name":"Total high quality decoded transcripts","metric":"531"},"herometric_helptext":{"title":"Key Metrics","data":[["Number of cells detected",["The total number of cells detected."]],["Median transcripts per cell",["The median number of transcripts per cell.  Cells with zero transcripts are excluded from the calculation."]],["Nuclear transcripts per 100 \u00b5m\u00b2",["The high-quality, decoded-to-gene, nuclear transcript count divided by the total segmented nuclear area."]],["Total high quality decoded transcripts",["The total number of decoded gene transcripts that decode with high quality (Phred quality score \u003e= 20)."]]]},"clustering_selector":{"left_plots":{"clusterings":[{"key":"gene_expression_graphclust","name":"Graph-based","data":[{"name":"Cluster 1","indices":"_resources_clustering_selector_left_plots_cluster_0_0_indices","type":"scattergl","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#ffabc3"},"text":"Cluster 1: 47.6%"},{"name":"Cluster 2","indices":"_resources_clustering_selector_left_plots_cluster_0_1_indices","type":"scattergl","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#c79000"},"text":"Cluster 2: 23.8%"},{"name":"Cluster 3","indices":"_resources_clustering_selector_left_plots_cluster_0_2_indices","type":"scattergl","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#00f93f"},"text":"Cluster 3: 19.0%"},{"name":"Cluster 4","indices":"_resources_clustering_selector_left_plots_cluster_0_3_indices","type":"scattergl","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#00b1da"},"text":"Cluster 4: 4.8%"},{"name":"Cluster 5","indices":"_resources_clustering_selector_left_plots_cluster_0_4_indices","type":"scattergl","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#cdb6ff"},"text":"Cluster 5: 4.8%"}]}],"x":"_resources_clustering_selector_left_plots_x","y":"_resources_clustering_selector_left_plots_y","config":{"staticPlot":false,"displayModeBar":true,"modeBarButtons":[["toImage","resetScale2d"]],"showAxisDragHandles":true,"toImageButtonOptions":{"scale":1,"filename":"xenium_image","format":"png","width":730,"height":650},"scrollZoom":false},"layout":{"xaxis":{"anchor":"y","type":"linear","title":{"text":"x (\u00b5m)","standoff":12},"showline":false,"zeroline":true,"fixedrange":true,"rangemode":"tozero","tickformat":"1","range":[372.065,951.4350000000001]},"yaxis":{"anchor":"x","scaleanchor":"x","type":"linear","title":"y (\u00b5m)","showline":false,"zeroline":true,"fixedrange":true,"autorange":"reversed","tickformat":"1","range":[284.535,395.965]},"hovermode":"closest","title":"Cell Coordinates Colored by Clustering","legend":{"itemsizing":"constant"}}},"right_plots":{"clusterings":[{"key":"gene_expression_graphclust","name":"Graph-based","data":[{"name":"Cluster 1","indices":"_resources_clustering_selector_right_plots_cluster_0_0_indices","type":"scatter","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#ffabc3"},"text":"Cluster 1: 47.6%"},{"name":"Cluster 2","indices":"_resources_clustering_selector_right_plots_cluster_0_1_indices","type":"scatter","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#c79000"},"text":"Cluster 2: 23.8%"},{"name":"Cluster 3","indices":"_resources_clustering_selector_right_plots_cluster_0_2_indices","type":"scatter","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#00f93f"},"text":"Cluster 3: 19.0%"},{"name":"Cluster 4","indices":"_resources_clustering_selector_right_plots_cluster_0_3_indices","type":"scatter","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#00b1da"},"text":"Cluster 4: 4.8%"},{"name":"Cluster 5","indices":"_resources_clustering_selector_right_plots_cluster_0_4_indices","type":"scatter","mode":"markers","marker":{"opacity":0.899825,"size":3.99769,"color":"#cdb6ff"},"text":"Cluster 5: 4.8%"}]}],"x":"_resources_clustering_selector_right_plots_x","y":"_resources_clustering_selector_right_plots_y","config":{"staticPlot":false,"displayModeBar":true,"modeBarButtons":[["toImage","resetScale2d"]],"showAxisDragHandles":true,"toImageButtonOptions":{"width":730,"height":650},"scrollZoom":false},"layout":{"xaxis":{"type":"linear","title":"UMAP1","showline":false,"zeroline":true,"fixedrange":false,"range":[-47.8525,26.122500000000002]},"yaxis":{"type":"linear","title":"UMAP2","showline":false,"zeroline":true,"fixedrange":false,"range":[-23.122,-14.498000000000001]},"margin":{"t":30},"hovermode":"closest","title":"UMAP Projection of Cells by Clustering","hover_mode":"closest","legend":{"itemsizing":"constant"}},"type":"scatter","marker":{"opacity":0.899825,"size":3.99769}},"plot_help":{"title":"Graph-Based Clustering","data":[["",["(left) The spatial distribution of cells colored by graph-based clustering assignment. 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positives caused by erroneous decoding among high quality (Phred quality score \u003e= 20) transcripts. Estimated using negative control codewords such that any decoding to these codewords is definitively erroneous, and adjusted to estimate the rate of errors amongst all codewords. The rate is calculated as the fraction of high quality transcripts that were assigned to negative control codewords, divided by the fraction of codewords in the panel that are negative control codewords."]],["Adjusted negative control probe rate",["The estimated rate of false positive transcript signal among high quality (Phred quality score \u003e= 20) transcripts. Estimated using negative control probes that should not bind to any transcript sequence present in the tissue, and adjusted to estimate the rate of errors amongst all probes. The rate is calculated as the fraction of high quality transcripts that were assigned to negative control probes, divided by the fraction of probe-associated codewords in the panel that belong to negative control probes."]],["Adjusted genomic control probe rate",["The estimated rate of false positive transcript signal from probes binding to genomic DNA among high quality (Phred quality score \u003e= 20) transcripts. Estimated using intergenic genomic control probes that would bind to intergenic genomic DNA but should not bind to any transcript sequence present in the tissue, and adjusted to estimate the rate of errors amongst all probes. The rate is calculated as the fraction of high quality transcripts that were assigned to genomic control probes, divided by the fraction of probe-associated codewords in the panel that belong to genomic control probes."]],["Negative control probe counts per control per cell",["The mean number of high-quality transcripts that were decoded as negative control probes, which are probes that should not bind to any transcript sequence present in the tissue. The mean is taken across all cells and all negative control probes."]],["Genomic control probe counts per control per cell",["The mean number of high-quality transcripts that were decoded as genomic control probes, which are probes that should only bind to intergenic genomic DNA. The mean is taken across all cells and all genomic control probes."]],["Estimated number of false positive transcripts per cell",["The estimated mean number of high-quality transcripts per cell that do not represent true expression (\u201cfalse positives\u201d) due to decoding and non-specific probe binding errors. It is estimated using the \u201cnegative control probe counts per control per cell\u201d metric, and adjusted to estimate the number of false positives amongst all gene probes."]],["Estimated number of false positive transcripts per cell including genomic counts",["The estimated mean number of high-quality transcripts per cell that do not represent true expression (\u201cfalse positives\u201d) due to decoding, non-specific probe binding, and genomic DNA binding errors. It is estimated using the genomic control probe counts per control per cell\u201d metric, and adjusted to estimate the number of false positives amongst all gene probes."]]]},"decoding_yield_table":{"rows":[["Percent of all gene transcripts that are high quality","35.3%"],["Total high quality decoded transcripts","531"],["Nuclear transcripts per 100 \u00b5m\u00b2","28.3"],["Thickness of high quality decoded transcripts (in \u00b5m)","9.127"],["Cellular transcripts per 100 \u00b5m\u00b2","19.7"]]},"decoding_yield_table_helptext":{"title":"Decoding Yield","data":[["Percent of all gene transcripts that are high quality",["The percent of transcripts from all genes on the gene panel that decode with high quality (Phred quality score \u003e= 20)."]],["Total high quality decoded transcripts",["The total number of decoded gene transcripts that decode with high quality (Phred quality score \u003e= 20)."]],["Nuclear transcripts per 100 \u00b5m\u00b2",["The high-quality, decoded-to-gene, nuclear transcript count divided by the total segmented nuclear area."]],["Thickness of high quality decoded transcripts (in \u00b5m)",["The width in Z of high-quality transcripts measured in microns. 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Decoding quality scores may be affected if the tissue thickness is higher than expected."]],["Cellular transcripts per 100 \u00b5m\u00b2",["The high-quality, decoded-to-gene, cellular transcript count divided by the total segmented cellular area."]]]},"segmentation_table":{"rows":[["Number of cells detected","36"],["Percent of transcripts within cells","87.4%"],["Cells per 100 \u00b5m\u00b2","0.909"],["Median genes per cell","1"],["Median transcripts per cell","18"],["Percent of empty cells","41.7%"]]},"segmentation_table_helptext":{"title":"Segmentation Metrics","data":[["Number of cells detected",["The total number of cells detected."]],["Percent of transcripts within cells",["Percent of high-quality transcripts that are found within cells."]],["Cells per 100 \u00b5m\u00b2",["The density of cells per 100 microns squared."]],["Median genes per cell",["The median number of unique genes detected per cell. 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"},"morphology_focus_thumbnail_plot_helptext":{"title":"Morphology Image QC Gallery","data":[["",["Thumbnail plots of morphology_focus images. These processed images (background subtracted) can be used to verify that the stains reflect the expected morphology. A uniform stain or uniformly very low or high stain intensity may indicate problems with the morphology stain workflow and/or sample preparation."]]]},"morphology_background_thumbnail_plot":{"encoded_image":"data:image/png;base64,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"},"morphology_background_thumbnail_plot_helptext":{"title":"Morphology Background QC Gallery","data":[["",["Thumbnail plots of autofluorescence images corresponding to the morphology images. Higher resolution tiffs can be found in the aux_outputs/background_qc_images folder."]]]},"has_image_qc":1,"decoding_image_thumbnail_plot":{"encoded_image":"data:image/png;base64,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"},"decoding_image_thumbnail_plot_helptext":{"title":"Decoding Image QC Gallery","data":[["",["Thumbnail plots of fluorescence images across imaging cycles (rows) and channels (columns). Each plot shows a stitched and reconstructed fluorescence image of the analyzed region obtained by downsampling and processing the internal sensor data. The intensity values in the thumbnail image give the average fluorescence intensity that was measured by the sensor in units of photoelectrons (pe) per square micron of tissue area. Patterned changes in fluorescence intensities across cycle-channel plots, i.e., some tissue areas are dim in some cycles and bright in others, are a signal of good image quality. Fluorescence signals that are always high in the same location in all cycles is an indication of tissue autofluorescence, which may affect transcript data at that location. Higher resolution images can be found in the outputs in the aux_outputs/per_cycle_channel_images directory."]]]},"debug_info_table":{"rows":[["Positional error of Q20 transcripts (nm) (50th percentile)","49"],["Estimated stripping efficiency (blu).","100.0%"],["Estimated stripping efficiency (grn).","100.0%"],["Estimated stripping efficiency (yel).","100.0%"],["Estimated stripping efficiency (red).","nan%"]]},"debug_info_table_helptext":{"title":"Metrics","data":[["Positional error of Q20 transcripts (nm) (50th percentile)",["The position of each RCP is recorded multiple times across imaging cycles and channels. The reported transcript position is the mean of these observations (centroid). The square root of the mean of squared deviations in XY from this centroid serves as an estimate of precision in XY. This metric is {percentile}th percentile over all transcripts with quality score \u003e= 20 measured in nanometers (nm)."]],["Estimated stripping efficiency (blu).",["Estimated stripping efficiency for each channel {channel}. The efficiency is computed by modeling the counts for cycles as an exponential decay plus background. The decay constant is used as an estimate of the fraction of probes removed each cycle. The stripping efficiency is defined as 1 - exp(-lambda), where 'lambda' is the mean decay constant for the channel. Small efficiencies (smaller than ~ 99%) suggest a possible failure in probe stripping."]],["Estimated stripping efficiency (grn).",["Estimated stripping efficiency for each channel {channel}. The efficiency is computed by modeling the counts for cycles as an exponential decay plus background. The decay constant is used as an estimate of the fraction of probes removed each cycle. The stripping efficiency is defined as 1 - exp(-lambda), where 'lambda' is the mean decay constant for the channel. Small efficiencies (smaller than ~ 99%) suggest a possible failure in probe stripping."]],["Estimated stripping efficiency (yel).",["Estimated stripping efficiency for each channel {channel}. The efficiency is computed by modeling the counts for cycles as an exponential decay plus background. The decay constant is used as an estimate of the fraction of probes removed each cycle. The stripping efficiency is defined as 1 - exp(-lambda), where 'lambda' is the mean decay constant for the channel. Small efficiencies (smaller than ~ 99%) suggest a possible failure in probe stripping."]],["Estimated stripping efficiency (red).",["Estimated stripping efficiency for each channel {channel}. The efficiency is computed by modeling the counts for cycles as an exponential decay plus background. The decay constant is used as an estimate of the fraction of probes removed each cycle. The stripping efficiency is defined as 1 - exp(-lambda), where 'lambda' is the mean decay constant for the channel. Small efficiencies (smaller than ~ 99%) suggest a possible failure in probe stripping."]]]},"fov_layout_plot":{"encoded_image":"data:image/png;base64,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e=(0,i.TS)(n.canModeBeOptimized,(function(e,t,n){return!1===t&&e.push(n),e}),[]);if(t.ensureOptimizations&&!(0,i.Im)(e))throw Error("Lexer Modes: < "+e.join(", ")+' > cannot be optimized.\n\t Disable the "ensureOptimizations" lexer config flag to silently ignore this and run the lexer in an un-optimized mode.\n\t Or inspect the console log for details on how to resolve these issues.')})),n.TRACE_INIT("clearRegExpParserCache",(function(){o={}})),n.TRACE_INIT("toFastProperties",(function(){(0,i.Bl)(n)}))}))}return e.prototype.tokenize=function(e,t){if(void 0===t&&(t=this.defaultMode),!(0,i.Im)(this.lexerDefinitionErrors)){var n=(0,i.Tj)(this.lexerDefinitionErrors,(function(e){return e.message})).join("-----------------------\n");throw new Error("Unable to Tokenize because Errors detected in definition of Lexer:\n"+n)}return this.tokenizeInternal(e,t)},e.prototype.tokenizeInternal=function(e,t){var n,r,a,o,s,l,c,u,f,d,h,p,m,g,v,y,b,x=this,_=e,A=_.length,w=0,k=0,E=this.hasCustom?0:Math.floor(e.length/10),T=new Array(E),M=[],S=this.trackStartLines?1:void 0,O=this.trackStartLines?1:void 0,C=(v=this.emptyGroups,y={},b=(0,i.HP)(v),(0,i.jJ)(b,(function(e){var t=v[e];if(!(0,i.cy)(t))throw Error("non exhaustive match");y[e]=[]})),y),N=this.trackStartLines,R=this.config.lineTerminatorsPattern,L=0,P=[],D=[],I=[],j=[];Object.freeze(j);var F=void 0;function B(){return P}function U(e){var t=z(e),n=D[t];return void 0===n?j:n}var $,H=function(e){if(1===I.length&&void 0===e.tokenType.PUSH_MODE){var t=x.config.errorMessageProvider.buildUnableToPopLexerModeMessage(e);M.push({offset:e.startOffset,line:void 0!==e.startLine?e.startLine:void 0,column:void 0!==e.startColumn?e.startColumn:void 0,length:e.image.length,message:t})}else{I.pop();var n=(0,i.HV)(I);P=x.patternIdxToConfig[n],D=x.charCodeToPatternIdxToConfig[n],L=P.length;var 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match")}},e.prototype.visitNonTerminal=function(e){},e.prototype.visitAlternative=function(e){},e.prototype.visitOption=function(e){},e.prototype.visitRepetition=function(e){},e.prototype.visitRepetitionMandatory=function(e){},e.prototype.visitRepetitionMandatoryWithSeparator=function(e){},e.prototype.visitRepetitionWithSeparator=function(e){},e.prototype.visitAlternation=function(e){},e.prototype.visitTerminal=function(e){},e.prototype.visitRule=function(e){},e}(),Le=function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n])},e(t,n)};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}();function Pe(e,t){return void 0===t&&(t=[]),!!(e instanceof _e||e instanceof ke||e instanceof Ee)||(e instanceof Te?(0,i.zN)(e.definition,(function(e){return Pe(e,t)})):!(e instanceof ye&&(0,i.gR)(t,e))&&(e instanceof ve&&(e instanceof ye&&t.push(e),(0,i.Si)(e.definition,(function(e){return Pe(e,t)})))))}function De(e){if(e instanceof ye)return"SUBRULE";if(e instanceof _e)return"OPTION";if(e instanceof Te)return"OR";if(e instanceof Ae)return"AT_LEAST_ONE";if(e instanceof we)return"AT_LEAST_ONE_SEP";if(e instanceof Ee)return"MANY_SEP";if(e instanceof ke)return"MANY";if(e instanceof Me)return"CONSUME";throw Error("non exhaustive match")}var Ie=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.separator="-",t.dslMethods={option:[],alternation:[],repetition:[],repetitionWithSeparator:[],repetitionMandatory:[],repetitionMandatoryWithSeparator:[]},t}return Le(t,e),t.prototype.reset=function(){this.dslMethods={option:[],alternation:[],repetition:[],repetitionWithSeparator:[],repetitionMandatory:[],repetitionMandatoryWithSeparator:[]}},t.prototype.visitTerminal=function(e){var t=e.terminalType.name+this.separator+"Terminal";(0,i.zy)(this.dslMethods,t)||(this.dslMethods[t]=[]),this.dslMethods[t].push(e)},t.prototype.visitNonTerminal=function(e){var t=e.nonTerminalName+this.separator+"Terminal";(0,i.zy)(this.dslMethods,t)||(this.dslMethods[t]=[]),this.dslMethods[t].push(e)},t.prototype.visitOption=function(e){this.dslMethods.option.push(e)},t.prototype.visitRepetitionWithSeparator=function(e){this.dslMethods.repetitionWithSeparator.push(e)},t.prototype.visitRepetitionMandatory=function(e){this.dslMethods.repetitionMandatory.push(e)},t.prototype.visitRepetitionMandatoryWithSeparator=function(e){this.dslMethods.repetitionMandatoryWithSeparator.push(e)},t.prototype.visitRepetition=function(e){this.dslMethods.repetition.push(e)},t.prototype.visitAlternation=function(e){this.dslMethods.alternation.push(e)},t}(Re),je=new Ie;function Fe(e){if(e instanceof ye)return Fe(e.referencedRule);if(e instanceof Me)return[e.terminalType];if(function(e){return e instanceof xe||e 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this.walk(this.topProd),this.follows},t.prototype.walkTerminal=function(e,t,n){},t.prototype.walkProdRef=function(e,t,n){var r,i,a=(r=e.referencedRule,i=e.idx,r.name+i+ze+this.topProd.name),o=t.concat(n),s=Fe(new xe({definition:o}));this.follows[a]=s},t}(Ce);var $e={buildMismatchTokenMessage:function(e){var t=e.expected,n=e.actual;e.previous,e.ruleName;return"Expecting "+(ne(t)?"--\x3e "+ee(t)+" <--":"token of type --\x3e "+t.name+" <--")+" but found --\x3e '"+n.image+"' <--"},buildNotAllInputParsedMessage:function(e){var t=e.firstRedundant;e.ruleName;return"Redundant input, expecting EOF but found: "+t.image},buildNoViableAltMessage:function(e){var t=e.expectedPathsPerAlt,n=e.actual,r=(e.previous,e.customUserDescription),a=(e.ruleName,"Expecting: "),o="\nbut found: '"+(0,i.$1)(n).image+"'";if(r)return a+r+o;var s=(0,i.TS)(t,(function(e,t){return e.concat(t)}),[]),l=(0,i.Tj)(s,(function(e){return"["+(0,i.Tj)(e,(function(e){return ee(e)})).join(", ")+"]"}));return a+("one of these possible Token sequences:\n"+(0,i.Tj)(l,(function(e,t){return"  "+(t+1)+". "+e})).join("\n"))+o},buildEarlyExitMessage:function(e){var t=e.expectedIterationPaths,n=e.actual,r=e.customUserDescription,a=(e.ruleName,"Expecting: "),o="\nbut found: '"+(0,i.$1)(n).image+"'";return r?a+r+o:a+("expecting at least one iteration which starts with one of these possible Token sequences::\n  <"+(0,i.Tj)(t,(function(e){return"["+(0,i.Tj)(e,(function(e){return ee(e)})).join(",")+"]"})).join(" ,")+">")+o}};Object.freeze($e);var He={buildRuleNotFoundError:function(e,t){return"Invalid grammar, reference to a rule which is not defined: ->"+t.nonTerminalName+"<-\ninside top level rule: ->"+e.name+"<-"}},qe={buildDuplicateFoundError:function(e,t){var n,r=e.name,a=(0,i.$1)(t),o=a.idx,s=De(a),l=(n=a)instanceof Me?n.terminalType.name:n instanceof ye?n.nonTerminalName:"",c="->"+s+(o>0?o:"")+"<- "+(l?"with argument: ->"+l+"<-":"")+"\n                  appears more than once ("+t.length+" times) in the top level rule: ->"+r+"<-.                  \n                  For further details see: https://chevrotain.io/docs/FAQ.html#NUMERICAL_SUFFIXES \n                  ";return c=(c=c.replace(/[ \t]+/g," ")).replace(/\s\s+/g,"\n")},buildNamespaceConflictError:function(e){return"Namespace conflict found in grammar.\nThe grammar has both a Terminal(Token) and a Non-Terminal(Rule) named: <"+e.name+">.\nTo resolve this make sure each Terminal and Non-Terminal names are unique\nThis is easy to accomplish by using the convention that Terminal names start with an uppercase letter\nand Non-Terminal names start with a lower case letter."},buildAlternationPrefixAmbiguityError:function(e){var t=(0,i.Tj)(e.prefixPath,(function(e){return ee(e)})).join(", "),n=0===e.alternation.idx?"":e.alternation.idx;return"Ambiguous alternatives: <"+e.ambiguityIndices.join(" ,")+"> due to common lookahead prefix\nin <OR"+n+"> inside <"+e.topLevelRule.name+"> Rule,\n<"+t+"> may appears as a prefix path in all these alternatives.\nSee: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#COMMON_PREFIX\nFor Further details."},buildAlternationAmbiguityError:function(e){var t=(0,i.Tj)(e.prefixPath,(function(e){return ee(e)})).join(", "),n=0===e.alternation.idx?"":e.alternation.idx,r="Ambiguous Alternatives Detected: <"+e.ambiguityIndices.join(" ,")+"> in <OR"+n+"> inside <"+e.topLevelRule.name+"> Rule,\n<"+t+"> may appears as a prefix path in all these alternatives.\n";return r+="See: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#AMBIGUOUS_ALTERNATIVES\nFor Further details."},buildEmptyRepetitionError:function(e){var t=De(e.repetition);return 0!==e.repetition.idx&&(t+=e.repetition.idx),"The repetition <"+t+"> within Rule <"+e.topLevelRule.name+"> can never consume any tokens.\nThis could lead to an infinite loop."},buildTokenNameError:function(e){return"deprecated"},buildEmptyAlternationError:function(e){return"Ambiguous empty alternative: <"+(e.emptyChoiceIdx+1)+"> in <OR"+e.alternation.idx+"> inside <"+e.topLevelRule.name+"> Rule.\nOnly the last alternative may be an empty alternative."},buildTooManyAlternativesError:function(e){return"An Alternation cannot have more than 256 alternatives:\n<OR"+e.alternation.idx+"> inside <"+e.topLevelRule.name+"> Rule.\n has "+(e.alternation.definition.length+1)+" alternatives."},buildLeftRecursionError:function(e){var t=e.topLevelRule.name;return"Left Recursion found in grammar.\nrule: <"+t+"> can be invoked from itself (directly or indirectly)\nwithout consuming any Tokens. 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r.nameToTopRule=t,r.errMsgProvider=n,r.errors=[],r}return Ve(t,e),t.prototype.resolveRefs=function(){var e=this;(0,i.jJ)((0,i.zu)(this.nameToTopRule),(function(t){e.currTopLevel=t,t.accept(e)}))},t.prototype.visitNonTerminal=function(e){var t=this.nameToTopRule[e.nonTerminalName];if(t)e.referencedRule=t;else{var n=this.errMsgProvider.buildRuleNotFoundError(this.currTopLevel,e);this.errors.push({message:n,type:En.UNRESOLVED_SUBRULE_REF,ruleName:this.currTopLevel.name,unresolvedRefName:e.nonTerminalName})}},t}(Re),Ge=function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n])},e(t,n)};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),Ye=function(e){function t(t,n){var r=e.call(this,t,n)||this;return 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this.ruleStack=(0,i.T9)(this.path.ruleStack).reverse(),this.occurrenceStack=(0,i.T9)(this.path.occurrenceStack).reverse(),this.ruleStack.pop(),this.occurrenceStack.pop(),this.updateExpectedNext(),this.walk(this.topProd),this.possibleTokTypes},t.prototype.walk=function(t,n){void 0===n&&(n=[]),this.found||e.prototype.walk.call(this,t,n)},t.prototype.walkProdRef=function(e,t,n){if(e.referencedRule.name===this.nextProductionName&&e.idx===this.nextProductionOccurrence){var r=t.concat(n);this.updateExpectedNext(),this.walk(e.referencedRule,r)}},t.prototype.updateExpectedNext=function(){(0,i.Im)(this.ruleStack)?(this.nextProductionName="",this.nextProductionOccurrence=0,this.isAtEndOfPath=!0):(this.nextProductionName=this.ruleStack.pop(),this.nextProductionOccurrence=this.occurrenceStack.pop())},t}(Ce)),Xe=function(e){function t(t,n){var r=e.call(this)||this;return r.topRule=t,r.occurrence=n,r.result={token:void 0,occurrence:void 0,isEndOfRule:void 0},r}return Ge(t,e),t.prototype.startWalking=function(){return this.walk(this.topRule),this.result},t}(Ce),Ke=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Ge(t,e),t.prototype.walkMany=function(t,n,r){if(t.idx===this.occurrence){var a=(0,i.$1)(n.concat(r));this.result.isEndOfRule=void 0===a,a instanceof Me&&(this.result.token=a.terminalType,this.result.occurrence=a.idx)}else e.prototype.walkMany.call(this,t,n,r)},t}(Xe),Ze=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Ge(t,e),t.prototype.walkManySep=function(t,n,r){if(t.idx===this.occurrence){var a=(0,i.$1)(n.concat(r));this.result.isEndOfRule=void 0===a,a instanceof Me&&(this.result.token=a.terminalType,this.result.occurrence=a.idx)}else e.prototype.walkManySep.call(this,t,n,r)},t}(Xe),Je=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Ge(t,e),t.prototype.walkAtLeastOne=function(t,n,r){if(t.idx===this.occurrence){var a=(0,i.$1)(n.concat(r));this.result.isEndOfRule=void 0===a,a instanceof Me&&(this.result.token=a.terminalType,this.result.occurrence=a.idx)}else e.prototype.walkAtLeastOne.call(this,t,n,r)},t}(Xe),Qe=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Ge(t,e),t.prototype.walkAtLeastOneSep=function(t,n,r){if(t.idx===this.occurrence){var a=(0,i.$1)(n.concat(r));this.result.isEndOfRule=void 0===a,a instanceof Me&&(this.result.token=a.terminalType,this.result.occurrence=a.idx)}else e.prototype.walkAtLeastOneSep.call(this,t,n,r)},t}(Xe);function et(e,t,n){void 0===n&&(n=[]),n=(0,i.T9)(n);var r=[],a=0;function o(o){var s=et(o.concat((0,i.gv)(e,a+1)),t,n);return r.concat(s)}for(;n.length<t&&a<e.length;){var s=e[a];if(s instanceof xe)return o(s.definition);if(s instanceof ye)return o(s.definition);if(s instanceof _e)r=o(s.definition);else{if(s instanceof Ae)return o(l=s.definition.concat([new ke({definition:s.definition})]));if(s instanceof we)return o(l=[new xe({definition:s.definition}),new ke({definition:[new Me({terminalType:s.separator})].concat(s.definition)})]);if(s instanceof Ee){var l=s.definition.concat([new ke({definition:[new Me({terminalType:s.separator})].concat(s.definition)})]);r=o(l)}else if(s instanceof ke){l=s.definition.concat([new ke({definition:s.definition})]);r=o(l)}else{if(s instanceof Te)return(0,i.jJ)(s.definition,(function(e){!1===(0,i.Im)(e.definition)&&(r=o(e.definition))})),r;if(!(s instanceof Me))throw Error("non exhaustive match");n.push(s.terminalType)}}a++}return r.push({partialPath:n,suffixDef:(0,i.gv)(e,a)}),r}function tt(e,t,n,r){var a="EXIT_NONE_TERMINAL",o=[a],s="EXIT_ALTERNATIVE",l=!1,c=t.length,u=c-r-1,f=[],d=[];for(d.push({idx:-1,def:e,ruleStack:[],occurrenceStack:[]});!(0,i.Im)(d);){var h=d.pop();if(h!==s){var p=h.def,m=h.idx,g=h.ruleStack,v=h.occurrenceStack;if(!(0,i.Im)(p)){var y=p[0];if(y===a){var b={idx:m,def:(0,i.gv)(p),ruleStack:(0,i.gc)(g),occurrenceStack:(0,i.gc)(v)};d.push(b)}else if(y instanceof Me)if(m<c-1){var x=m+1;if(n(t[x],y.terminalType)){b={idx:x,def:(0,i.gv)(p),ruleStack:g,occurrenceStack:v};d.push(b)}}else{if(m!==c-1)throw Error("non exhaustive match");f.push({nextTokenType:y.terminalType,nextTokenOccurrence:y.idx,ruleStack:g,occurrenceStack:v}),l=!0}else if(y instanceof ye){var _=(0,i.T9)(g);_.push(y.nonTerminalName);var A=(0,i.T9)(v);A.push(y.idx);b={idx:m,def:y.definition.concat(o,(0,i.gv)(p)),ruleStack:_,occurrenceStack:A};d.push(b)}else if(y instanceof _e){var w={idx:m,def:(0,i.gv)(p),ruleStack:g,occurrenceStack:v};d.push(w),d.push(s);var k={idx:m,def:y.definition.concat((0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(k)}else if(y instanceof Ae){var E=new ke({definition:y.definition,idx:y.idx});b={idx:m,def:y.definition.concat([E],(0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(b)}else if(y instanceof we){var T=new Me({terminalType:y.separator});E=new ke({definition:[T].concat(y.definition),idx:y.idx}),b={idx:m,def:y.definition.concat([E],(0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(b)}else if(y instanceof Ee){w={idx:m,def:(0,i.gv)(p),ruleStack:g,occurrenceStack:v};d.push(w),d.push(s);T=new Me({terminalType:y.separator});var M=new ke({definition:[T].concat(y.definition),idx:y.idx});k={idx:m,def:y.definition.concat([M],(0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(k)}else if(y instanceof ke){w={idx:m,def:(0,i.gv)(p),ruleStack:g,occurrenceStack:v};d.push(w),d.push(s);M=new ke({definition:y.definition,idx:y.idx}),k={idx:m,def:y.definition.concat([M],(0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(k)}else if(y instanceof Te)for(var S=y.definition.length-1;S>=0;S--){var O={idx:m,def:y.definition[S].definition.concat((0,i.gv)(p)),ruleStack:g,occurrenceStack:v};d.push(O),d.push(s)}else if(y instanceof xe)d.push({idx:m,def:y.definition.concat((0,i.gv)(p)),ruleStack:g,occurrenceStack:v});else{if(!(y instanceof be))throw 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i.topProd=t,i.targetOccurrence=n,i.targetProdType=r,i}return it(t,e),t.prototype.startWalking=function(){return this.walk(this.topProd),this.restDef},t.prototype.checkIsTarget=function(e,t,n,r){return e.idx===this.targetOccurrence&&this.targetProdType===t&&(this.restDef=n.concat(r),!0)},t.prototype.walkOption=function(t,n,r){this.checkIsTarget(t,rt.OPTION,n,r)||e.prototype.walkOption.call(this,t,n,r)},t.prototype.walkAtLeastOne=function(t,n,r){this.checkIsTarget(t,rt.REPETITION_MANDATORY,n,r)||e.prototype.walkOption.call(this,t,n,r)},t.prototype.walkAtLeastOneSep=function(t,n,r){this.checkIsTarget(t,rt.REPETITION_MANDATORY_WITH_SEPARATOR,n,r)||e.prototype.walkOption.call(this,t,n,r)},t.prototype.walkMany=function(t,n,r){this.checkIsTarget(t,rt.REPETITION,n,r)||e.prototype.walkOption.call(this,t,n,r)},t.prototype.walkManySep=function(t,n,r){this.checkIsTarget(t,rt.REPETITION_WITH_SEPARATOR,n,r)||e.prototype.walkOption.call(this,t,n,r)},t}(Ce),ot=function(e){function t(t,n,r){var 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s=e.idx,l=e.path,c=(0,i.JW)(o,(function(e){return!0!==t.definition[e.idx].ignoreAmbiguities&&e.idx<s&&(n=e.path,r=l,n.length<r.length&&(0,i.Si)(n,(function(e,t){var n=r[t];return e===n||n.categoryMatchesMap[e.tokenTypeIdx]})));var n,r})),u=(0,i.Tj)(c,(function(e){var i=[e.idx+1,s+1],a=0===t.idx?"":t.idx;return{message:r.buildAlternationPrefixAmbiguityError({topLevelRule:n,alternation:t,ambiguityIndices:i,prefixPath:e.path}),type:En.AMBIGUOUS_PREFIX_ALTS,ruleName:n.name,occurrence:a,alternatives:i}}));a=a.concat(u)}})),a}(l,a,e,n);return r.concat(c,u)}),[]);return o}(e,t,r)})),u=function(e,t,n){var r=[];return(0,i.jJ)(e,(function(e){var a=new wt;e.accept(a);var o=a.allProductions;(0,i.jJ)(o,(function(a){var o=function(e){if(e instanceof _e)return rt.OPTION;if(e instanceof ke)return rt.REPETITION;if(e instanceof Ae)return rt.REPETITION_MANDATORY;if(e instanceof we)return rt.REPETITION_MANDATORY_WITH_SEPARATOR;if(e instanceof Ee)return rt.REPETITION_WITH_SEPARATOR;if(e instanceof 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mt(t,e),t.prototype.visitNonTerminal=function(e){this.allProductions.push(e)},t.prototype.visitOption=function(e){this.allProductions.push(e)},t.prototype.visitRepetitionWithSeparator=function(e){this.allProductions.push(e)},t.prototype.visitRepetitionMandatory=function(e){this.allProductions.push(e)},t.prototype.visitRepetitionMandatoryWithSeparator=function(e){this.allProductions.push(e)},t.prototype.visitRepetition=function(e){this.allProductions.push(e)},t.prototype.visitAlternation=function(e){this.allProductions.push(e)},t.prototype.visitTerminal=function(e){this.allProductions.push(e)},t}(Re);function xt(e,t,n,r){void 0===r&&(r=[]);var a=[],o=_t(t.definition);if(i.Im(o))return[];var s=e.name;i.gR(o,e)&&a.push({message:n.buildLeftRecursionError({topLevelRule:e,leftRecursionPath:r}),type:En.LEFT_RECURSION,ruleName:s});var l=i.iv(o,r.concat([e])),c=i.Tj(l,(function(t){var a=i.T9(r);return a.push(t),xt(e,t,n,a)}));return a.concat(i.Bq(c))}function _t(e){var t=[];if(i.Im(e))return t;var n=i.$1(e);if(n instanceof ye)t.push(n.referencedRule);else if(n instanceof xe||n instanceof _e||n instanceof Ae||n instanceof we||n instanceof Ee||n instanceof ke)t=t.concat(_t(n.definition));else if(n instanceof Te)t=i.Bq(i.Tj(n.definition,(function(e){return _t(e.definition)})));else if(!(n instanceof Me))throw Error("non exhaustive match");var r=Pe(n),a=e.length>1;if(r&&a){var o=i.gv(e);return t.concat(_t(o))}return t}var At=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.alternations=[],t}return mt(t,e),t.prototype.visitAlternation=function(e){this.alternations.push(e)},t}(Re);var wt=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.allProductions=[],t}return mt(t,e),t.prototype.visitRepetitionWithSeparator=function(e){this.allProductions.push(e)},t.prototype.visitRepetitionMandatory=function(e){this.allProductions.push(e)},t.prototype.visitRepetitionMandatoryWithSeparator=function(e){this.allProductions.push(e)},t.prototype.visitRepetition=function(e){this.allProductions.push(e)},t}(Re);function kt(e){e=(0,i.NT)(e,{errMsgProvider:He});var t,n,r,a={};return(0,i.jJ)(e.rules,(function(e){a[e.name]=e})),t=a,n=e.errMsgProvider,(r=new We(t,n)).resolveRefs(),r.errors}function Et(e){return gt((e=(0,i.NT)(e,{errMsgProvider:qe})).rules,e.maxLookahead,e.tokenTypes,e.errMsgProvider,e.grammarName)}function Tt(e){(0,i.jJ)(e.rules,(function(e){var t=new Ie;e.accept(t),(0,i.jJ)(t.dslMethods,(function(e){(0,i.jJ)(e,(function(e,t){e.idx=t+1}))}))}))}var Mt=function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in 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Ut("sad sad panda")},e.prototype.canPerformInRuleRecovery=function(e,t){return this.canRecoverWithSingleTokenInsertion(e,t)||this.canRecoverWithSingleTokenDeletion(e)},e.prototype.canRecoverWithSingleTokenInsertion=function(e,t){var n=this;if(!this.canTokenTypeBeInsertedInRecovery(e))return!1;if((0,i.Im)(t))return!1;var r=this.LA(1);return void 0!==(0,i.I6)(t,(function(e){return n.tokenMatcher(r,e)}))},e.prototype.canRecoverWithSingleTokenDeletion=function(e){return this.tokenMatcher(this.LA(2),e)},e.prototype.isInCurrentRuleReSyncSet=function(e){var t=this.getCurrFollowKey(),n=this.getFollowSetFromFollowKey(t);return(0,i.gR)(n,e)},e.prototype.findReSyncTokenType=function(){for(var e=this.flattenFollowSet(),t=this.LA(1),n=2;;){var r=t.tokenType;if((0,i.gR)(e,r))return r;t=this.LA(n),n++}},e.prototype.getCurrFollowKey=function(){if(1===this.RULE_STACK.length)return zt;var e=this.getLastExplicitRuleShortName(),t=this.getLastExplicitRuleOccurrenceIndex(),n=this.getPreviousExplicitRuleShortName();return{ruleName:this.shortRuleNameToFullName(e),idxInCallingRule:t,inRule:this.shortRuleNameToFullName(n)}},e.prototype.buildFullFollowKeyStack=function(){var e=this,t=this.RULE_STACK,n=this.RULE_OCCURRENCE_STACK;return(0,i.Tj)(t,(function(r,i){return 0===i?zt:{ruleName:e.shortRuleNameToFullName(r),idxInCallingRule:n[i],inRule:e.shortRuleNameToFullName(t[i-1])}}))},e.prototype.flattenFollowSet=function(){var e=this,t=(0,i.Tj)(this.buildFullFollowKeyStack(),(function(t){return e.getFollowSetFromFollowKey(t)}));return(0,i.Bq)(t)},e.prototype.getFollowSetFromFollowKey=function(e){if(e===zt)return[he];var t=e.ruleName+e.idxInCallingRule+ze+e.inRule;return this.resyncFollows[t]},e.prototype.addToResyncTokens=function(e,t){return this.tokenMatcher(e,he)||t.push(e),t},e.prototype.reSyncTo=function(e){for(var t=[],n=this.LA(1);!1===this.tokenMatcher(n,e);)n=this.SKIP_TOKEN(),this.addToResyncTokens(n,t);return(0,i.gc)(t)},e.prototype.attemptInRepetitionRecovery=function(e,t,n,r,i,a,o){},e.prototype.getCurrentGrammarPath=function(e,t){return{ruleStack:this.getHumanReadableRuleStack(),occurrenceStack:(0,i.T9)(this.RULE_OCCURRENCE_STACK),lastTok:e,lastTokOccurrence:t}},e.prototype.getHumanReadableRuleStack=function(){var e=this;return(0,i.Tj)(this.RULE_STACK,(function(t){return e.shortRuleNameToFullName(t)}))},e}();function Ht(e,t,n,r,i,a,o){var s=this.getKeyForAutomaticLookahead(r,i),l=this.firstAfterRepMap[s];if(void 0===l){var c=this.getCurrRuleFullName();l=new a(this.getGAstProductions()[c],i).startWalking(),this.firstAfterRepMap[s]=l}var u=l.token,f=l.occurrence,d=l.isEndOfRule;1===this.RULE_STACK.length&&d&&void 0===u&&(u=he,f=1),this.shouldInRepetitionRecoveryBeTried(u,f,o)&&this.tryInRepetitionRecovery(e,t,n,u)}var qt=1024,Vt=1280,Wt=1536;function Gt(e,t,n){return n|t|e}var Yt=function(){function e(){}return e.prototype.initLooksAhead=function(e){this.dynamicTokensEnabled=(0,i.zy)(e,"dynamicTokensEnabled")?e.dynamicTokensEnabled:Tn.dynamicTokensEnabled,this.maxLookahead=(0,i.zy)(e,"maxLookahead")?e.maxLookahead:Tn.maxLookahead,this.lookAheadFuncsCache=(0,i.rF)()?new Map:[],(0,i.rF)()?(this.getLaFuncFromCache=this.getLaFuncFromMap,this.setLaFuncCache=this.setLaFuncCacheUsingMap):(this.getLaFuncFromCache=this.getLaFuncFromObj,this.setLaFuncCache=this.setLaFuncUsingObj)},e.prototype.preComputeLookaheadFunctions=function(e){var t=this;(0,i.jJ)(e,(function(e){t.TRACE_INIT(e.name+" Rule Lookahead",(function(){var n=function(e){je.reset(),e.accept(je);var t=je.dslMethods;return je.reset(),t}(e),r=n.alternation,a=n.repetition,o=n.option,s=n.repetitionMandatory,l=n.repetitionMandatoryWithSeparator,c=n.repetitionWithSeparator;(0,i.jJ)(r,(function(n){var r=0===n.idx?"":n.idx;t.TRACE_INIT(""+De(n)+r,(function(){var r,i,a,o,s,l,c,u=(r=n.idx,i=e,a=n.maxLookahead||t.maxLookahead,o=n.hasPredicates,s=t.dynamicTokensEnabled,l=t.lookAheadBuilderForAlternatives,c=ft(r,i,a),l(c,o,pt(c)?$:U,s)),f=Gt(t.fullRuleNameToShort[e.name],256,n.idx);t.setLaFuncCache(f,u)}))})),(0,i.jJ)(a,(function(n){t.computeLookaheadFunc(e,n.idx,768,rt.REPETITION,n.maxLookahead,De(n))})),(0,i.jJ)(o,(function(n){t.computeLookaheadFunc(e,n.idx,512,rt.OPTION,n.maxLookahead,De(n))})),(0,i.jJ)(s,(function(n){t.computeLookaheadFunc(e,n.idx,qt,rt.REPETITION_MANDATORY,n.maxLookahead,De(n))})),(0,i.jJ)(l,(function(n){t.computeLookaheadFunc(e,n.idx,Wt,rt.REPETITION_MANDATORY_WITH_SEPARATOR,n.maxLookahead,De(n))})),(0,i.jJ)(c,(function(n){t.computeLookaheadFunc(e,n.idx,Vt,rt.REPETITION_WITH_SEPARATOR,n.maxLookahead,De(n))}))}))}))},e.prototype.computeLookaheadFunc=function(e,t,n,r,i,a){var o=this;this.TRACE_INIT(""+a+(0===t?"":t),(function(){var a=function(e,t,n,r,i,a){var o=dt(e,t,i,n),s=pt(o)?$:U;return a(o[0],s,r)}(t,e,i||o.maxLookahead,o.dynamicTokensEnabled,r,o.lookAheadBuilderForOptional),s=Gt(o.fullRuleNameToShort[e.name],n,t);o.setLaFuncCache(s,a)}))},e.prototype.lookAheadBuilderForOptional=function(e,t,n){return function(e,t,n){var r=(0,i.Si)(e,(function(e){return 1===e.length})),a=e.length;if(r&&!n){var o=(0,i.Bq)(e);if(1===o.length&&(0,i.Im)(o[0].categoryMatches)){var s=o[0].tokenTypeIdx;return function(){return this.LA(1).tokenTypeIdx===s}}var l=(0,i.TS)(o,(function(e,t,n){return e[t.tokenTypeIdx]=!0,(0,i.jJ)(t.categoryMatches,(function(t){e[t]=!0})),e}),[]);return function(){var e=this.LA(1);return!0===l[e.tokenTypeIdx]}}return function(){e:for(var n=0;n<a;n++){for(var r=e[n],i=r.length,o=0;o<i;o++){var s=this.LA(o+1);if(!1===t(s,r[o]))continue e}return!0}return!1}}(e,t,n)},e.prototype.lookAheadBuilderForAlternatives=function(e,t,n,r){return function(e,t,n,r){var a=e.length,o=(0,i.Si)(e,(function(e){return(0,i.Si)(e,(function(e){return 1===e.length}))}));if(t)return function(t){for(var r=(0,i.Tj)(t,(function(e){return e.GATE})),o=0;o<a;o++){var s=e[o],l=s.length,c=r[o];if(void 0===c||!1!==c.call(this))e:for(var u=0;u<l;u++){for(var f=s[u],d=f.length,h=0;h<d;h++){var p=this.LA(h+1);if(!1===n(p,f[h]))continue e}return o}}};if(o&&!r){var s=(0,i.Tj)(e,(function(e){return(0,i.Bq)(e)})),l=(0,i.TS)(s,(function(e,t,n){return(0,i.jJ)(t,(function(t){(0,i.zy)(e,t.tokenTypeIdx)||(e[t.tokenTypeIdx]=n),(0,i.jJ)(t.categoryMatches,(function(t){(0,i.zy)(e,t)||(e[t]=n)}))})),e}),[]);return function(){var e=this.LA(1);return l[e.tokenTypeIdx]}}return function(){for(var t=0;t<a;t++){var r=e[t],i=r.length;e:for(var o=0;o<i;o++){for(var s=r[o],l=s.length,c=0;c<l;c++){var u=this.LA(c+1);if(!1===n(u,s[c]))continue e}return t}}}}(e,t,n,r)},e.prototype.getKeyForAutomaticLookahead=function(e,t){return Gt(this.getLastExplicitRuleShortName(),e,t)},e.prototype.getLaFuncFromCache=function(e){},e.prototype.getLaFuncFromMap=function(e){return this.lookAheadFuncsCache.get(e)},e.prototype.getLaFuncFromObj=function(e){return this.lookAheadFuncsCache[e]},e.prototype.setLaFuncCache=function(e,t){},e.prototype.setLaFuncCacheUsingMap=function(e,t){this.lookAheadFuncsCache.set(e,t)},e.prototype.setLaFuncUsingObj=function(e,t){this.lookAheadFuncsCache[e]=t},e}();function Xt(e,t){!0===isNaN(e.startOffset)?(e.startOffset=t.startOffset,e.endOffset=t.endOffset):e.endOffset<t.endOffset==!0&&(e.endOffset=t.endOffset)}function Kt(e,t){!0===isNaN(e.startOffset)?(e.startOffset=t.startOffset,e.startColumn=t.startColumn,e.startLine=t.startLine,e.endOffset=t.endOffset,e.endColumn=t.endColumn,e.endLine=t.endLine):e.endOffset<t.endOffset==!0&&(e.endOffset=t.endOffset,e.endColumn=t.endColumn,e.endLine=t.endLine)}var Zt,Jt="name";function Qt(e){var t=e.name;return t||"anonymous"}function en(e,t){var n=Object.getOwnPropertyDescriptor(e,Jt);return!(!(0,i.b0)(n)&&!n.configurable)&&(Object.defineProperty(e,Jt,{enumerable:!1,configurable:!0,writable:!1,value:t}),!0)}function tn(e,t){for(var n=(0,i.HP)(e),r=n.length,a=0;a<r;a++)for(var o=e[n[a]],s=o.length,l=0;l<s;l++){var c=o[l];void 0===c.tokenTypeIdx&&this[c.name](c.children,t)}}function nn(e,t){var n=function(){};en(n,e+"BaseSemantics");var r={visit:function(e,t){if((0,i.cy)(e)&&(e=e[0]),!(0,i.b0)(e))return this[e.name](e.children,t)},validateVisitor:function(){var e=function(e,t){var n=function(e,t){var n=(0,i.Tj)(t,(function(t){if(!(0,i.Tn)(e[t]))return{msg:"Missing visitor method: <"+t+"> on "+Qt(e.constructor)+" CST Visitor.",type:Zt.MISSING_METHOD,methodName:t}}));return(0,i.oE)(n)}(e,t),r=function(e,t){var n=[];for(var r in e)!(0,i.Tn)(e[r])||(0,i.gR)(rn,r)||(0,i.gR)(t,r)||n.push({msg:"Redundant visitor method: <"+r+"> on "+Qt(e.constructor)+" CST Visitor\nThere is no Grammar Rule corresponding to this method's name.\n",type:Zt.REDUNDANT_METHOD,methodName:r});return n}(e,t);return n.concat(r)}(this,t);if(!(0,i.Im)(e)){var n=(0,i.Tj)(e,(function(e){return e.msg}));throw Error("Errors Detected in CST Visitor <"+Qt(this.constructor)+">:\n\t"+n.join("\n\n").replace(/\n/g,"\n\t"))}}};return(n.prototype=r).constructor=n,n._RULE_NAMES=t,n}!function(e){e[e.REDUNDANT_METHOD=0]="REDUNDANT_METHOD",e[e.MISSING_METHOD=1]="MISSING_METHOD"}(Zt||(Zt={}));var rn=["constructor","visit","validateVisitor"];var an=function(){function e(){}return e.prototype.initTreeBuilder=function(e){if(this.CST_STACK=[],this.outputCst=e.outputCst,this.nodeLocationTracking=(0,i.zy)(e,"nodeLocationTracking")?e.nodeLocationTracking:Tn.nodeLocationTracking,this.outputCst)if(/full/i.test(this.nodeLocationTracking))this.recoveryEnabled?(this.setNodeLocationFromToken=Kt,this.setNodeLocationFromNode=Kt,this.cstPostRule=i.tE,this.setInitialNodeLocation=this.setInitialNodeLocationFullRecovery):(this.setNodeLocationFromToken=i.tE,this.setNodeLocationFromNode=i.tE,this.cstPostRule=this.cstPostRuleFull,this.setInitialNodeLocation=this.setInitialNodeLocationFullRegular);else if(/onlyOffset/i.test(this.nodeLocationTracking))this.recoveryEnabled?(this.setNodeLocationFromToken=Xt,this.setNodeLocationFromNode=Xt,this.cstPostRule=i.tE,this.setInitialNodeLocation=this.setInitialNodeLocationOnlyOffsetRecovery):(this.setNodeLocationFromToken=i.tE,this.setNodeLocationFromNode=i.tE,this.cstPostRule=this.cstPostRuleOnlyOffset,this.setInitialNodeLocation=this.setInitialNodeLocationOnlyOffsetRegular);else{if(!/none/i.test(this.nodeLocationTracking))throw Error('Invalid <nodeLocationTracking> config option: "'+e.nodeLocationTracking+'"');this.setNodeLocationFromToken=i.tE,this.setNodeLocationFromNode=i.tE,this.cstPostRule=i.tE,this.setInitialNodeLocation=i.tE}else this.cstInvocationStateUpdate=i.tE,this.cstFinallyStateUpdate=i.tE,this.cstPostTerminal=i.tE,this.cstPostNonTerminal=i.tE,this.cstPostRule=i.tE},e.prototype.setInitialNodeLocationOnlyOffsetRecovery=function(e){e.location={startOffset:NaN,endOffset:NaN}},e.prototype.setInitialNodeLocationOnlyOffsetRegular=function(e){e.location={startOffset:this.LA(1).startOffset,endOffset:NaN}},e.prototype.setInitialNodeLocationFullRecovery=function(e){e.location={startOffset:NaN,startLine:NaN,startColumn:NaN,endOffset:NaN,endLine:NaN,endColumn:NaN}},e.prototype.setInitialNodeLocationFullRegular=function(e){var t=this.LA(1);e.location={startOffset:t.startOffset,startLine:t.startLine,startColumn:t.startColumn,endOffset:NaN,endLine:NaN,endColumn:NaN}},e.prototype.cstInvocationStateUpdate=function(e,t){var n={name:e,children:{}};this.setInitialNodeLocation(n),this.CST_STACK.push(n)},e.prototype.cstFinallyStateUpdate=function(){this.CST_STACK.pop()},e.prototype.cstPostRuleFull=function(e){var t=this.LA(0),n=e.location;n.startOffset<=t.startOffset==!0?(n.endOffset=t.endOffset,n.endLine=t.endLine,n.endColumn=t.endColumn):(n.startOffset=NaN,n.startLine=NaN,n.startColumn=NaN)},e.prototype.cstPostRuleOnlyOffset=function(e){var t=this.LA(0),n=e.location;n.startOffset<=t.startOffset==!0?n.endOffset=t.endOffset:n.startOffset=NaN},e.prototype.cstPostTerminal=function(e,t){var n,r,i,a=this.CST_STACK[this.CST_STACK.length-1];r=t,i=e,void 0===(n=a).children[i]?n.children[i]=[r]:n.children[i].push(r),this.setNodeLocationFromToken(a.location,t)},e.prototype.cstPostNonTerminal=function(e,t){var n=this.CST_STACK[this.CST_STACK.length-1];!function(e,t,n){void 0===e.children[t]?e.children[t]=[n]:e.children[t].push(n)}(n,t,e),this.setNodeLocationFromNode(n.location,e.location)},e.prototype.getBaseCstVisitorConstructor=function(){if((0,i.b0)(this.baseCstVisitorConstructor)){var e=nn(this.className,(0,i.HP)(this.gastProductionsCache));return this.baseCstVisitorConstructor=e,e}return this.baseCstVisitorConstructor},e.prototype.getBaseCstVisitorConstructorWithDefaults=function(){if((0,i.b0)(this.baseCstVisitorWithDefaultsConstructor)){var e=function(e,t,n){var r=function(){};en(r,e+"BaseSemanticsWithDefaults");var a=Object.create(n.prototype);return(0,i.jJ)(t,(function(e){a[e]=tn})),(r.prototype=a).constructor=r,r}(this.className,(0,i.HP)(this.gastProductionsCache),this.getBaseCstVisitorConstructor());return this.baseCstVisitorWithDefaultsConstructor=e,e}return this.baseCstVisitorWithDefaultsConstructor},e.prototype.getLastExplicitRuleShortName=function(){var e=this.RULE_STACK;return e[e.length-1]},e.prototype.getPreviousExplicitRuleShortName=function(){var e=this.RULE_STACK;return e[e.length-2]},e.prototype.getLastExplicitRuleOccurrenceIndex=function(){var e=this.RULE_OCCURRENCE_STACK;return e[e.length-1]},e}(),on=function(){function e(){}return e.prototype.initLexerAdapter=function(){this.tokVector=[],this.tokVectorLength=0,this.currIdx=-1},Object.defineProperty(e.prototype,"input",{get:function(){return this.tokVector},set:function(e){if(!0!==this.selfAnalysisDone)throw Error("Missing <performSelfAnalysis> invocation at the end of the Parser's constructor.");this.reset(),this.tokVector=e,this.tokVectorLength=e.length},enumerable:!1,configurable:!0}),e.prototype.SKIP_TOKEN=function(){return this.currIdx<=this.tokVector.length-2?(this.consumeToken(),this.LA(1)):kn},e.prototype.LA=function(e){var t=this.currIdx+e;return t<0||this.tokVectorLength<=t?kn:this.tokVector[t]},e.prototype.consumeToken=function(){this.currIdx++},e.prototype.exportLexerState=function(){return this.currIdx},e.prototype.importLexerState=function(e){this.currIdx=e},e.prototype.resetLexerState=function(){this.currIdx=-1},e.prototype.moveToTerminatedState=function(){this.currIdx=this.tokVector.length-1},e.prototype.getLexerPosition=function(){return this.exportLexerState()},e}(),sn=function(){function e(){}return e.prototype.ACTION=function(e){return e.call(this)},e.prototype.consume=function(e,t,n){return this.consumeInternal(t,e,n)},e.prototype.subrule=function(e,t,n){return this.subruleInternal(t,e,n)},e.prototype.option=function(e,t){return this.optionInternal(t,e)},e.prototype.or=function(e,t){return this.orInternal(t,e)},e.prototype.many=function(e,t){return this.manyInternal(e,t)},e.prototype.atLeastOne=function(e,t){return this.atLeastOneInternal(e,t)},e.prototype.CONSUME=function(e,t){return this.consumeInternal(e,0,t)},e.prototype.CONSUME1=function(e,t){return this.consumeInternal(e,1,t)},e.prototype.CONSUME2=function(e,t){return this.consumeInternal(e,2,t)},e.prototype.CONSUME3=function(e,t){return this.consumeInternal(e,3,t)},e.prototype.CONSUME4=function(e,t){return this.consumeInternal(e,4,t)},e.prototype.CONSUME5=function(e,t){return this.consumeInternal(e,5,t)},e.prototype.CONSUME6=function(e,t){return this.consumeInternal(e,6,t)},e.prototype.CONSUME7=function(e,t){return this.consumeInternal(e,7,t)},e.prototype.CONSUME8=function(e,t){return this.consumeInternal(e,8,t)},e.prototype.CONSUME9=function(e,t){return this.consumeInternal(e,9,t)},e.prototype.SUBRULE=function(e,t){return this.subruleInternal(e,0,t)},e.prototype.SUBRULE1=function(e,t){return this.subruleInternal(e,1,t)},e.prototype.SUBRULE2=function(e,t){return this.subruleInternal(e,2,t)},e.prototype.SUBRULE3=function(e,t){return this.subruleInternal(e,3,t)},e.prototype.SUBRULE4=function(e,t){return this.subruleInternal(e,4,t)},e.prototype.SUBRULE5=function(e,t){return this.subruleInternal(e,5,t)},e.prototype.SUBRULE6=function(e,t){return this.subruleInternal(e,6,t)},e.prototype.SUBRULE7=function(e,t){return this.subruleInternal(e,7,t)},e.prototype.SUBRULE8=function(e,t){return this.subruleInternal(e,8,t)},e.prototype.SUBRULE9=function(e,t){return this.subruleInternal(e,9,t)},e.prototype.OPTION=function(e){return this.optionInternal(e,0)},e.prototype.OPTION1=function(e){return this.optionInternal(e,1)},e.prototype.OPTION2=function(e){return this.optionInternal(e,2)},e.prototype.OPTION3=function(e){return this.optionInternal(e,3)},e.prototype.OPTION4=function(e){return this.optionInternal(e,4)},e.prototype.OPTION5=function(e){return this.optionInternal(e,5)},e.prototype.OPTION6=function(e){return this.optionInternal(e,6)},e.prototype.OPTION7=function(e){return this.optionInternal(e,7)},e.prototype.OPTION8=function(e){return this.optionInternal(e,8)},e.prototype.OPTION9=function(e){return this.optionInternal(e,9)},e.prototype.OR=function(e){return this.orInternal(e,0)},e.prototype.OR1=function(e){return this.orInternal(e,1)},e.prototype.OR2=function(e){return this.orInternal(e,2)},e.prototype.OR3=function(e){return this.orInternal(e,3)},e.prototype.OR4=function(e){return this.orInternal(e,4)},e.prototype.OR5=function(e){return this.orInternal(e,5)},e.prototype.OR6=function(e){return this.orInternal(e,6)},e.prototype.OR7=function(e){return this.orInternal(e,7)},e.prototype.OR8=function(e){return this.orInternal(e,8)},e.prototype.OR9=function(e){return this.orInternal(e,9)},e.prototype.MANY=function(e){this.manyInternal(0,e)},e.prototype.MANY1=function(e){this.manyInternal(1,e)},e.prototype.MANY2=function(e){this.manyInternal(2,e)},e.prototype.MANY3=function(e){this.manyInternal(3,e)},e.prototype.MANY4=function(e){this.manyInternal(4,e)},e.prototype.MANY5=function(e){this.manyInternal(5,e)},e.prototype.MANY6=function(e){this.manyInternal(6,e)},e.prototype.MANY7=function(e){this.manyInternal(7,e)},e.prototype.MANY8=function(e){this.manyInternal(8,e)},e.prototype.MANY9=function(e){this.manyInternal(9,e)},e.prototype.MANY_SEP=function(e){this.manySepFirstInternal(0,e)},e.prototype.MANY_SEP1=function(e){this.manySepFirstInternal(1,e)},e.prototype.MANY_SEP2=function(e){this.manySepFirstInternal(2,e)},e.prototype.MANY_SEP3=function(e){this.manySepFirstInternal(3,e)},e.prototype.MANY_SEP4=function(e){this.manySepFirstInternal(4,e)},e.prototype.MANY_SEP5=function(e){this.manySepFirstInternal(5,e)},e.prototype.MANY_SEP6=function(e){this.manySepFirstInternal(6,e)},e.prototype.MANY_SEP7=function(e){this.manySepFirstInternal(7,e)},e.prototype.MANY_SEP8=function(e){this.manySepFirstInternal(8,e)},e.prototype.MANY_SEP9=function(e){this.manySepFirstInternal(9,e)},e.prototype.AT_LEAST_ONE=function(e){this.atLeastOneInternal(0,e)},e.prototype.AT_LEAST_ONE1=function(e){return this.atLeastOneInternal(1,e)},e.prototype.AT_LEAST_ONE2=function(e){this.atLeastOneInternal(2,e)},e.prototype.AT_LEAST_ONE3=function(e){this.atLeastOneInternal(3,e)},e.prototype.AT_LEAST_ONE4=function(e){this.atLeastOneInternal(4,e)},e.prototype.AT_LEAST_ONE5=function(e){this.atLeastOneInternal(5,e)},e.prototype.AT_LEAST_ONE6=function(e){this.atLeastOneInternal(6,e)},e.prototype.AT_LEAST_ONE7=function(e){this.atLeastOneInternal(7,e)},e.prototype.AT_LEAST_ONE8=function(e){this.atLeastOneInternal(8,e)},e.prototype.AT_LEAST_ONE9=function(e){this.atLeastOneInternal(9,e)},e.prototype.AT_LEAST_ONE_SEP=function(e){this.atLeastOneSepFirstInternal(0,e)},e.prototype.AT_LEAST_ONE_SEP1=function(e){this.atLeastOneSepFirstInternal(1,e)},e.prototype.AT_LEAST_ONE_SEP2=function(e){this.atLeastOneSepFirstInternal(2,e)},e.prototype.AT_LEAST_ONE_SEP3=function(e){this.atLeastOneSepFirstInternal(3,e)},e.prototype.AT_LEAST_ONE_SEP4=function(e){this.atLeastOneSepFirstInternal(4,e)},e.prototype.AT_LEAST_ONE_SEP5=function(e){this.atLeastOneSepFirstInternal(5,e)},e.prototype.AT_LEAST_ONE_SEP6=function(e){this.atLeastOneSepFirstInternal(6,e)},e.prototype.AT_LEAST_ONE_SEP7=function(e){this.atLeastOneSepFirstInternal(7,e)},e.prototype.AT_LEAST_ONE_SEP8=function(e){this.atLeastOneSepFirstInternal(8,e)},e.prototype.AT_LEAST_ONE_SEP9=function(e){this.atLeastOneSepFirstInternal(9,e)},e.prototype.RULE=function(e,t,n){if(void 0===n&&(n=Mn),(0,i.gR)(this.definedRulesNames,e)){var r={message:qe.buildDuplicateRuleNameError({topLevelRule:e,grammarName:this.className}),type:En.DUPLICATE_RULE_NAME,ruleName:e};this.definitionErrors.push(r)}this.definedRulesNames.push(e);var a=this.defineRule(e,t,n);return this[e]=a,a},e.prototype.OVERRIDE_RULE=function(e,t,n){void 0===n&&(n=Mn);var r,a,o,s,l,c=[];c=c.concat((r=e,a=this.definedRulesNames,o=this.className,l=[],i.gR(a,r)||(s="Invalid rule override, rule: ->"+r+"<- cannot be overridden in the grammar: ->"+o+"<-as it is not defined in any of the super grammars ",l.push({message:s,type:En.INVALID_RULE_OVERRIDE,ruleName:r})),l)),this.definitionErrors.push.apply(this.definitionErrors,c);var u=this.defineRule(e,t,n);return this[e]=u,u},e.prototype.BACKTRACK=function(e,t){return function(){this.isBackTrackingStack.push(1);var n=this.saveRecogState();try{return e.apply(this,t),!0}catch(e){if(Lt(e))return!1;throw e}finally{this.reloadRecogState(n),this.isBackTrackingStack.pop()}}},e.prototype.getGAstProductions=function(){return this.gastProductionsCache},e.prototype.getSerializedGastProductions=function(){return Se((0,i.zu)(this.gastProductionsCache))},e}(),ln=function(){function e(){}return e.prototype.initRecognizerEngine=function(e,t){if(this.className=Qt(this.constructor),this.shortRuleNameToFull={},this.fullRuleNameToShort={},this.ruleShortNameIdx=256,this.tokenMatcher=$,this.definedRulesNames=[],this.tokensMap={},this.isBackTrackingStack=[],this.RULE_STACK=[],this.RULE_OCCURRENCE_STACK=[],this.gastProductionsCache={},(0,i.zy)(t,"serializedGrammar"))throw Error("The Parser's configuration can no longer contain a <serializedGrammar> property.\n\tSee: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_6-0-0\n\tFor Further details.");if((0,i.cy)(e)){if((0,i.Im)(e))throw Error("A Token Vocabulary cannot be empty.\n\tNote that the first argument for the parser constructor\n\tis no longer a Token vector (since v4.0).");if("number"==typeof e[0].startOffset)throw Error("The Parser constructor no longer accepts a token vector as the first argument.\n\tSee: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_4-0-0\n\tFor Further details.")}if((0,i.cy)(e))this.tokensMap=(0,i.TS)(e,(function(e,t){return e[t.name]=t,e}),{});else if((0,i.zy)(e,"modes")&&(0,i.Si)((0,i.Bq)((0,i.zu)(e.modes)),X)){var n=(0,i.Bq)((0,i.zu)(e.modes)),r=(0,i.sb)(n);this.tokensMap=(0,i.TS)(r,(function(e,t){return e[t.name]=t,e}),{})}else{if(!(0,i.Gv)(e))throw new Error("<tokensDictionary> argument must be An Array of Token constructors, A dictionary of Token constructors or an IMultiModeLexerDefinition");this.tokensMap=(0,i.lR)(e)}this.tokensMap.EOF=he;var a=(0,i.Si)((0,i.zu)(e),(function(e){return(0,i.Im)(e.categoryMatches)}));this.tokenMatcher=a?$:U,V((0,i.zu)(this.tokensMap))},e.prototype.defineRule=function(e,t,n){if(this.selfAnalysisDone)throw Error("Grammar rule <"+e+"> may not be defined after the 'performSelfAnalysis' method has been called'\nMake sure that all grammar rule definitions are done before 'performSelfAnalysis' is called.");var r,a=(0,i.zy)(n,"resyncEnabled")?n.resyncEnabled:Mn.resyncEnabled,o=(0,i.zy)(n,"recoveryValueFunc")?n.recoveryValueFunc:Mn.recoveryValueFunc,s=this.ruleShortNameIdx<<12;function l(e){try{if(!0===this.outputCst){t.apply(this,e);var n=this.CST_STACK[this.CST_STACK.length-1];return this.cstPostRule(n),n}return t.apply(this,e)}catch(e){return this.invokeRuleCatch(e,a,o)}finally{this.ruleFinallyStateUpdate()}}this.ruleShortNameIdx++,this.shortRuleNameToFull[s]=e,this.fullRuleNameToShort[e]=s;return(r=function(t,n){return void 0===t&&(t=0),this.ruleInvocationStateUpdate(s,e,t),l.call(this,n)}).ruleName=e,r.originalGrammarAction=t,r},e.prototype.invokeRuleCatch=function(e,t,n){var r=1===this.RULE_STACK.length,i=t&&!this.isBackTracking()&&this.recoveryEnabled;if(Lt(e)){var a=e;if(i){var o,s=this.findReSyncTokenType();if(this.isInCurrentRuleReSyncSet(s))return a.resyncedTokens=this.reSyncTo(s),this.outputCst?((o=this.CST_STACK[this.CST_STACK.length-1]).recoveredNode=!0,o):n();throw this.outputCst&&((o=this.CST_STACK[this.CST_STACK.length-1]).recoveredNode=!0,a.partialCstResult=o),a}if(r)return this.moveToTerminatedState(),n();throw a}throw e},e.prototype.optionInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(512,t);return this.optionInternalLogic(e,t,n)},e.prototype.optionInternalLogic=function(e,t,n){var r,i,a=this,o=this.getLaFuncFromCache(n);if(void 0!==e.DEF){if(r=e.DEF,void 0!==(i=e.GATE)){var s=o;o=function(){return i.call(a)&&s.call(a)}}}else r=e;if(!0===o.call(this))return r.call(this)},e.prototype.atLeastOneInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(qt,e);return this.atLeastOneInternalLogic(e,t,n)},e.prototype.atLeastOneInternalLogic=function(e,t,n){var r,i,a=this,o=this.getLaFuncFromCache(n);if(void 0!==t.DEF){if(r=t.DEF,void 0!==(i=t.GATE)){var s=o;o=function(){return i.call(a)&&s.call(a)}}}else r=t;if(!0!==o.call(this))throw this.raiseEarlyExitException(e,rt.REPETITION_MANDATORY,t.ERR_MSG);for(var l=this.doSingleRepetition(r);!0===o.call(this)&&!0===l;)l=this.doSingleRepetition(r);this.attemptInRepetitionRecovery(this.atLeastOneInternal,[e,t],o,qt,e,Je)},e.prototype.atLeastOneSepFirstInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(Wt,e);this.atLeastOneSepFirstInternalLogic(e,t,n)},e.prototype.atLeastOneSepFirstInternalLogic=function(e,t,n){var r=this,i=t.DEF,a=t.SEP;if(!0!==this.getLaFuncFromCache(n).call(this))throw this.raiseEarlyExitException(e,rt.REPETITION_MANDATORY_WITH_SEPARATOR,t.ERR_MSG);i.call(this);for(var o=function(){return r.tokenMatcher(r.LA(1),a)};!0===this.tokenMatcher(this.LA(1),a);)this.CONSUME(a),i.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,a,o,i,Qe],o,Wt,e,Qe)},e.prototype.manyInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(768,e);return this.manyInternalLogic(e,t,n)},e.prototype.manyInternalLogic=function(e,t,n){var r,i,a=this,o=this.getLaFuncFromCache(n);if(void 0!==t.DEF){if(r=t.DEF,void 0!==(i=t.GATE)){var s=o;o=function(){return i.call(a)&&s.call(a)}}}else r=t;for(var l=!0;!0===o.call(this)&&!0===l;)l=this.doSingleRepetition(r);this.attemptInRepetitionRecovery(this.manyInternal,[e,t],o,768,e,Ke,l)},e.prototype.manySepFirstInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(Vt,e);this.manySepFirstInternalLogic(e,t,n)},e.prototype.manySepFirstInternalLogic=function(e,t,n){var r=this,i=t.DEF,a=t.SEP;if(!0===this.getLaFuncFromCache(n).call(this)){i.call(this);for(var o=function(){return r.tokenMatcher(r.LA(1),a)};!0===this.tokenMatcher(this.LA(1),a);)this.CONSUME(a),i.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,a,o,i,Ze],o,Vt,e,Ze)}},e.prototype.repetitionSepSecondInternal=function(e,t,n,r,i){for(;n();)this.CONSUME(t),r.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,t,n,r,i],n,Wt,e,i)},e.prototype.doSingleRepetition=function(e){var t=this.getLexerPosition();return e.call(this),this.getLexerPosition()>t},e.prototype.orInternal=function(e,t){var n=this.getKeyForAutomaticLookahead(256,t),r=(0,i.cy)(e)?e:e.DEF,a=this.getLaFuncFromCache(n).call(this,r);if(void 0!==a)return r[a].ALT.call(this);this.raiseNoAltException(t,e.ERR_MSG)},e.prototype.ruleFinallyStateUpdate=function(){if(this.RULE_STACK.pop(),this.RULE_OCCURRENCE_STACK.pop(),this.cstFinallyStateUpdate(),0===this.RULE_STACK.length&&!1===this.isAtEndOfInput()){var e=this.LA(1),t=this.errorMessageProvider.buildNotAllInputParsedMessage({firstRedundant:e,ruleName:this.getCurrRuleFullName()});this.SAVE_ERROR(new jt(t,e))}},e.prototype.subruleInternal=function(e,t,n){var r;try{var i=void 0!==n?n.ARGS:void 0;return r=e.call(this,t,i),this.cstPostNonTerminal(r,void 0!==n&&void 0!==n.LABEL?n.LABEL:e.ruleName),r}catch(t){this.subruleInternalError(t,n,e.ruleName)}},e.prototype.subruleInternalError=function(e,t,n){throw Lt(e)&&void 0!==e.partialCstResult&&(this.cstPostNonTerminal(e.partialCstResult,void 0!==t&&void 0!==t.LABEL?t.LABEL:n),delete e.partialCstResult),e},e.prototype.consumeInternal=function(e,t,n){var r;try{var i=this.LA(1);!0===this.tokenMatcher(i,e)?(this.consumeToken(),r=i):this.consumeInternalError(e,i,n)}catch(n){r=this.consumeInternalRecovery(e,t,n)}return this.cstPostTerminal(void 0!==n&&void 0!==n.LABEL?n.LABEL:e.name,r),r},e.prototype.consumeInternalError=function(e,t,n){var r,i=this.LA(0);throw r=void 0!==n&&n.ERR_MSG?n.ERR_MSG:this.errorMessageProvider.buildMismatchTokenMessage({expected:e,actual:t,previous:i,ruleName:this.getCurrRuleFullName()}),this.SAVE_ERROR(new Dt(r,t,i))},e.prototype.consumeInternalRecovery=function(e,t,n){if(!this.recoveryEnabled||"MismatchedTokenException"!==n.name||this.isBackTracking())throw n;var r=this.getFollowsForInRuleRecovery(e,t);try{return this.tryInRuleRecovery(e,r)}catch(e){throw e.name===Bt?n:e}},e.prototype.saveRecogState=function(){var e=this.errors,t=(0,i.T9)(this.RULE_STACK);return{errors:e,lexerState:this.exportLexerState(),RULE_STACK:t,CST_STACK:this.CST_STACK}},e.prototype.reloadRecogState=function(e){this.errors=e.errors,this.importLexerState(e.lexerState),this.RULE_STACK=e.RULE_STACK},e.prototype.ruleInvocationStateUpdate=function(e,t,n){this.RULE_OCCURRENCE_STACK.push(n),this.RULE_STACK.push(e),this.cstInvocationStateUpdate(t,e)},e.prototype.isBackTracking=function(){return 0!==this.isBackTrackingStack.length},e.prototype.getCurrRuleFullName=function(){var e=this.getLastExplicitRuleShortName();return this.shortRuleNameToFull[e]},e.prototype.shortRuleNameToFullName=function(e){return this.shortRuleNameToFull[e]},e.prototype.isAtEndOfInput=function(){return this.tokenMatcher(this.LA(1),he)},e.prototype.reset=function(){this.resetLexerState(),this.isBackTrackingStack=[],this.errors=[],this.RULE_STACK=[],this.CST_STACK=[],this.RULE_OCCURRENCE_STACK=[]},e}(),cn=function(){function e(){}return e.prototype.initErrorHandler=function(e){this._errors=[],this.errorMessageProvider=(0,i.zy)(e,"errorMessageProvider")?e.errorMessageProvider:Tn.errorMessageProvider},e.prototype.SAVE_ERROR=function(e){if(Lt(e))return e.context={ruleStack:this.getHumanReadableRuleStack(),ruleOccurrenceStack:(0,i.T9)(this.RULE_OCCURRENCE_STACK)},this._errors.push(e),e;throw Error("Trying to save an Error which is not a RecognitionException")},Object.defineProperty(e.prototype,"errors",{get:function(){return(0,i.T9)(this._errors)},set:function(e){this._errors=e},enumerable:!1,configurable:!0}),e.prototype.raiseEarlyExitException=function(e,t,n){for(var r=this.getCurrRuleFullName(),i=dt(e,this.getGAstProductions()[r],t,this.maxLookahead)[0],a=[],o=1;o<=this.maxLookahead;o++)a.push(this.LA(o));var s=this.errorMessageProvider.buildEarlyExitMessage({expectedIterationPaths:i,actual:a,previous:this.LA(0),customUserDescription:n,ruleName:r});throw this.SAVE_ERROR(new Ft(s,this.LA(1),this.LA(0)))},e.prototype.raiseNoAltException=function(e,t){for(var n=this.getCurrRuleFullName(),r=ft(e,this.getGAstProductions()[n],this.maxLookahead),i=[],a=1;a<=this.maxLookahead;a++)i.push(this.LA(a));var o=this.LA(0),s=this.errorMessageProvider.buildNoViableAltMessage({expectedPathsPerAlt:r,actual:i,previous:o,customUserDescription:t,ruleName:this.getCurrRuleFullName()});throw this.SAVE_ERROR(new It(s,this.LA(1),o))},e}(),un=function(){function e(){}return e.prototype.initContentAssist=function(){},e.prototype.computeContentAssist=function(e,t){var n=this.gastProductionsCache[e];if((0,i.b0)(n))throw Error("Rule ->"+e+"<- does not exist in this grammar.");return tt([n],t,this.tokenMatcher,this.maxLookahead)},e.prototype.getNextPossibleTokenTypes=function(e){var t=(0,i.$1)(e.ruleStack),n=this.getGAstProductions()[t];return new Ye(n,e).startWalking()},e}(),fn={description:"This Object indicates the Parser is during Recording Phase"};Object.freeze(fn);var dn=!0,hn=Math.pow(2,8)-1,pn=de({name:"RECORDING_PHASE_TOKEN",pattern:Q.NA});V([pn]);var mn=pe(pn,"This IToken indicates the Parser is in Recording Phase\n\tSee: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details",-1,-1,-1,-1,-1,-1);Object.freeze(mn);var gn={name:"This CSTNode indicates the Parser is in Recording Phase\n\tSee: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details",children:{}},vn=function(){function e(){}return e.prototype.initGastRecorder=function(e){this.recordingProdStack=[],this.RECORDING_PHASE=!1},e.prototype.enableRecording=function(){var e=this;this.RECORDING_PHASE=!0,this.TRACE_INIT("Enable Recording",(function(){for(var t=function(t){var n=t>0?t:"";e["CONSUME"+n]=function(e,n){return this.consumeInternalRecord(e,t,n)},e["SUBRULE"+n]=function(e,n){return this.subruleInternalRecord(e,t,n)},e["OPTION"+n]=function(e){return this.optionInternalRecord(e,t)},e["OR"+n]=function(e){return this.orInternalRecord(e,t)},e["MANY"+n]=function(e){this.manyInternalRecord(t,e)},e["MANY_SEP"+n]=function(e){this.manySepFirstInternalRecord(t,e)},e["AT_LEAST_ONE"+n]=function(e){this.atLeastOneInternalRecord(t,e)},e["AT_LEAST_ONE_SEP"+n]=function(e){this.atLeastOneSepFirstInternalRecord(t,e)}},n=0;n<10;n++)t(n);e.consume=function(e,t,n){return this.consumeInternalRecord(t,e,n)},e.subrule=function(e,t,n){return this.subruleInternalRecord(t,e,n)},e.option=function(e,t){return this.optionInternalRecord(t,e)},e.or=function(e,t){return this.orInternalRecord(t,e)},e.many=function(e,t){this.manyInternalRecord(e,t)},e.atLeastOne=function(e,t){this.atLeastOneInternalRecord(e,t)},e.ACTION=e.ACTION_RECORD,e.BACKTRACK=e.BACKTRACK_RECORD,e.LA=e.LA_RECORD}))},e.prototype.disableRecording=function(){var e=this;this.RECORDING_PHASE=!1,this.TRACE_INIT("Deleting Recording methods",(function(){for(var t=0;t<10;t++){var n=t>0?t:"";delete e["CONSUME"+n],delete e["SUBRULE"+n],delete e["OPTION"+n],delete e["OR"+n],delete e["MANY"+n],delete e["MANY_SEP"+n],delete e["AT_LEAST_ONE"+n],delete e["AT_LEAST_ONE_SEP"+n]}delete e.consume,delete e.subrule,delete e.option,delete e.or,delete e.many,delete e.atLeastOne,delete e.ACTION,delete e.BACKTRACK,delete e.LA}))},e.prototype.ACTION_RECORD=function(e){},e.prototype.BACKTRACK_RECORD=function(e,t){return function(){return!0}},e.prototype.LA_RECORD=function(e){return kn},e.prototype.topLevelRuleRecord=function(e,t){try{var n=new be({definition:[],name:e});return n.name=e,this.recordingProdStack.push(n),t.call(this),this.recordingProdStack.pop(),n}catch(e){if(!0!==e.KNOWN_RECORDER_ERROR)try{e.message=e.message+'\n\t This error was thrown during the "grammar recording phase" For more info see:\n\thttps://chevrotain.io/docs/guide/internals.html#grammar-recording'}catch(t){throw e}throw e}},e.prototype.optionInternalRecord=function(e,t){return yn.call(this,_e,e,t)},e.prototype.atLeastOneInternalRecord=function(e,t){yn.call(this,Ae,t,e)},e.prototype.atLeastOneSepFirstInternalRecord=function(e,t){yn.call(this,we,t,e,dn)},e.prototype.manyInternalRecord=function(e,t){yn.call(this,ke,t,e)},e.prototype.manySepFirstInternalRecord=function(e,t){yn.call(this,Ee,t,e,dn)},e.prototype.orInternalRecord=function(e,t){return bn.call(this,e,t)},e.prototype.subruleInternalRecord=function(e,t,n){if(_n(t),!e||!1===(0,i.zy)(e,"ruleName")){var r=new Error("<SUBRULE"+xn(t)+"> argument is invalid expecting a Parser method reference but got: <"+JSON.stringify(e)+">\n inside top level rule: <"+this.recordingProdStack[0].name+">");throw r.KNOWN_RECORDER_ERROR=!0,r}var a=(0,i.se)(this.recordingProdStack),o=e.ruleName,s=new ye({idx:t,nonTerminalName:o,referencedRule:void 0});return a.definition.push(s),this.outputCst?gn:fn},e.prototype.consumeInternalRecord=function(e,t,n){if(_n(t),!G(e)){var r=new Error("<CONSUME"+xn(t)+"> argument is invalid expecting a TokenType reference but got: <"+JSON.stringify(e)+">\n inside top level rule: <"+this.recordingProdStack[0].name+">");throw r.KNOWN_RECORDER_ERROR=!0,r}var a=(0,i.se)(this.recordingProdStack),o=new Me({idx:t,terminalType:e});return a.definition.push(o),mn},e}();function yn(e,t,n,r){void 0===r&&(r=!1),_n(n);var a=(0,i.se)(this.recordingProdStack),o=(0,i.Tn)(t)?t:t.DEF,s=new e({definition:[],idx:n});return r&&(s.separator=t.SEP),(0,i.zy)(t,"MAX_LOOKAHEAD")&&(s.maxLookahead=t.MAX_LOOKAHEAD),this.recordingProdStack.push(s),o.call(this),a.definition.push(s),this.recordingProdStack.pop(),fn}function bn(e,t){var n=this;_n(t);var r=(0,i.se)(this.recordingProdStack),a=!1===(0,i.cy)(e),o=!1===a?e:e.DEF,s=new Te({definition:[],idx:t,ignoreAmbiguities:a&&!0===e.IGNORE_AMBIGUITIES});(0,i.zy)(e,"MAX_LOOKAHEAD")&&(s.maxLookahead=e.MAX_LOOKAHEAD);var l=(0,i.zN)(o,(function(e){return(0,i.Tn)(e.GATE)}));return s.hasPredicates=l,r.definition.push(s),(0,i.jJ)(o,(function(e){var t=new xe({definition:[]});s.definition.push(t),(0,i.zy)(e,"IGNORE_AMBIGUITIES")?t.ignoreAmbiguities=e.IGNORE_AMBIGUITIES:(0,i.zy)(e,"GATE")&&(t.ignoreAmbiguities=!0),n.recordingProdStack.push(t),e.ALT.call(n),n.recordingProdStack.pop()})),fn}function xn(e){return 0===e?"":""+e}function _n(e){if(e<0||e>hn){var t=new Error("Invalid DSL Method idx value: <"+e+">\n\tIdx value must be a none negative value smaller than "+(hn+1));throw t.KNOWN_RECORDER_ERROR=!0,t}}var An=function(){function e(){}return e.prototype.initPerformanceTracer=function(e){if((0,i.zy)(e,"traceInitPerf")){var t=e.traceInitPerf,n="number"==typeof t;this.traceInitMaxIdent=n?t:1/0,this.traceInitPerf=n?t>0:t}else this.traceInitMaxIdent=0,this.traceInitPerf=Tn.traceInitPerf;this.traceInitIndent=-1},e.prototype.TRACE_INIT=function(e,t){if(!0===this.traceInitPerf){this.traceInitIndent++;var n=new Array(this.traceInitIndent+1).join("\t");this.traceInitIndent<this.traceInitMaxIdent&&console.log(n+"--\x3e <"+e+">");var r=(0,i.O1)(t),a=r.time,o=r.value,s=a>10?console.warn:console.log;return this.traceInitIndent<this.traceInitMaxIdent&&s(n+"<-- <"+e+"> time: "+a+"ms"),this.traceInitIndent--,o}return t()},e}(),wn=function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n])},e(t,n)};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),kn=pe(he,"",NaN,NaN,NaN,NaN,NaN,NaN);Object.freeze(kn);var En,Tn=Object.freeze({recoveryEnabled:!1,maxLookahead:3,dynamicTokensEnabled:!1,outputCst:!0,errorMessageProvider:$e,nodeLocationTracking:"none",traceInitPerf:!1,skipValidations:!1}),Mn=Object.freeze({recoveryValueFunc:function(){},resyncEnabled:!0});function Sn(e){return void 0===e&&(e=void 0),function(){return e}}!function(e){e[e.INVALID_RULE_NAME=0]="INVALID_RULE_NAME",e[e.DUPLICATE_RULE_NAME=1]="DUPLICATE_RULE_NAME",e[e.INVALID_RULE_OVERRIDE=2]="INVALID_RULE_OVERRIDE",e[e.DUPLICATE_PRODUCTIONS=3]="DUPLICATE_PRODUCTIONS",e[e.UNRESOLVED_SUBRULE_REF=4]="UNRESOLVED_SUBRULE_REF",e[e.LEFT_RECURSION=5]="LEFT_RECURSION",e[e.NONE_LAST_EMPTY_ALT=6]="NONE_LAST_EMPTY_ALT",e[e.AMBIGUOUS_ALTS=7]="AMBIGUOUS_ALTS",e[e.CONFLICT_TOKENS_RULES_NAMESPACE=8]="CONFLICT_TOKENS_RULES_NAMESPACE",e[e.INVALID_TOKEN_NAME=9]="INVALID_TOKEN_NAME",e[e.NO_NON_EMPTY_LOOKAHEAD=10]="NO_NON_EMPTY_LOOKAHEAD",e[e.AMBIGUOUS_PREFIX_ALTS=11]="AMBIGUOUS_PREFIX_ALTS",e[e.TOO_MANY_ALTS=12]="TOO_MANY_ALTS"}(En||(En={}));var On=function(){function e(e,t){this.definitionErrors=[],this.selfAnalysisDone=!1;var n=this;if(n.initErrorHandler(t),n.initLexerAdapter(),n.initLooksAhead(t),n.initRecognizerEngine(e,t),n.initRecoverable(t),n.initTreeBuilder(t),n.initContentAssist(),n.initGastRecorder(t),n.initPerformanceTracer(t),(0,i.zy)(t,"ignoredIssues"))throw new Error("The <ignoredIssues> IParserConfig property has been deprecated.\n\tPlease use the <IGNORE_AMBIGUITIES> flag on the relevant DSL method instead.\n\tSee: https://chevrotain.io/docs/guide/resolving_grammar_errors.html#IGNORING_AMBIGUITIES\n\tFor further details.");this.skipValidations=(0,i.zy)(t,"skipValidations")?t.skipValidations:Tn.skipValidations}return e.performSelfAnalysis=function(e){throw Error("The **static** `performSelfAnalysis` method has been deprecated.\t\nUse the **instance** method with the same name instead.")},e.prototype.performSelfAnalysis=function(){var t=this;this.TRACE_INIT("performSelfAnalysis",(function(){var n;t.selfAnalysisDone=!0;var 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e.reduce(((e,t)=>Array.isArray(t)?e.concat(this.flattenDeep(t)):e.concat(t)),[])}acceptNumber(e,t=!0,n=!0){if(e instanceof r)return e;let i;if("number"==typeof e)i=e;else if("boolean"==typeof e){if(!n)throw r.VALUE;i=Number(e)}else if("string"==typeof e){if(0===e.length)throw r.VALUE;if(i=Number(e),i!=i)throw r.VALUE}else{if(!Array.isArray(e))throw Error("Unknown type in FormulaHelpers.acceptNumber");if(t)i=this.acceptNumber(e[0][0]);else{if(1!==e[0].length)throw r.VALUE;i=this.acceptNumber(e[0][0])}}return i}flattenParams(e,t,n,o,s=null,l=1){if(e.length<l)throw r.ARG_MISSING([t]);null==s&&(s=t===a.NUMBER?0:null==t?null:""),e.forEach((e=>{const{isCellRef:a,isRangeRef:l,isArray:c}=e,u=e.value instanceof i,f=!(a||l||c||u),d={isLiteral:f,isCellRef:a,isRangeRef:l,isArray:c,isUnion:u};if(f)e=e.omitted?s:this.accept(e,t,s),o(e,d);else if(a)o(e.value,d);else if(u){if(!n)throw r.VALUE;e=e.value.data,(e=this.flattenDeep(e)).forEach((e=>{o(e,d)}))}else(l||c)&&(e=this.flattenDeep(e.value)).forEach((e=>{o(e,d)}))}))}accept(e,t=null,n,o=!0,s=!1){if(Array.isArray(t)&&(t=t[0]),null==e&&void 0===n)throw r.ARG_MISSING([t]);if(null==e)return n;if("object"!=typeof e||Array.isArray(e))return e;const l=e.isArray;if(null!=e.value&&(e=e.value),null==t)return e;if(e instanceof r)throw e;if(t===a.ARRAY){if(Array.isArray(e))return o?this.flattenDeep(e):e;if(e instanceof i)throw r.VALUE;if(s)return o?[e]:[[e]];throw r.VALUE}if(t===a.COLLECTIONS)return e;l&&(e=e[0][0]);const c=this.type(e);if(t===a.STRING)e=c===a.BOOLEAN?e?"TRUE":"FALSE":`${e}`;else if(t===a.BOOLEAN){if(c===a.STRING)throw r.VALUE;c===a.NUMBER&&(e=Boolean(e))}else if(t===a.NUMBER)e=this.acceptNumber(e,!1);else{if(t!==a.NUMBER_NO_BOOLEAN)throw r.VALUE;e=this.acceptNumber(e,!1,!1)}return e}type(e){let t=this.type2Number[typeof e];return-1===t&&(Array.isArray(e)?t=a.ARRAY:e.ref?t=e.ref.from?a.RANGE_REF:a.CELL_REF:e instanceof i&&(t=a.COLLECTIONS)),t}isRangeRef(e){return e.ref&&e.ref.from}isCellRef(e){return e.ref&&!e.ref.from}retrieveRanges(e,t,n){return n=u.extend(t,n),t=this.retrieveArg(e,t),n!==(t=s.accept(t,a.ARRAY,void 0,!1,!0))?(n=this.retrieveArg(e,n),n=s.accept(n,a.ARRAY,void 0,!1,!0)):n=t,[t,n]}retrieveArg(e,t){if(null===t)return{value:0,isArray:!1,omitted:!0};const n=e.utils.extractRefValue(t);return{value:n.val,isArray:n.isArray,ref:t.ref}}},l={isWildCard:e=>"string"==typeof e&&/[*?]/.test(e),toRegex:(e,t)=>RegExp(e.replace(/[.+^${}()|[\]\\]/g,"\\$&").replace(/([^~]??)[?]/g,"$1.").replace(/([^~]??)[*]/g,"$1.*").replace(/~([?*])/g,"$1"),t)},c={parse:e=>{const t=typeof e;if("string"===t){const t=e.toUpperCase();if("TRUE"===t||"FALSE"===t)return{op:"=",value:"TRUE"===t};const n=e.match(/(<>|>=|<=|>|<|=)(.*)/);if(n){let e,t=n[1];if(isNaN(n[2])){const i=n[2].toUpperCase();if("TRUE"===i||"FALSE"===i)e="TRUE"===i;else if(/#NULL!|#DIV\/0!|#VALUE!|#NAME\?|#NUM!|#N\/A|#REF!/.test(n[2]))e=new r(n[2]);else if(e=n[2],l.isWildCard(e))return{op:"wc",value:l.toRegex(e),match:"="===t}}else e=Number(n[2]);return{op:t,value:e}}return l.isWildCard(e)?{op:"wc",value:l.toRegex(e),match:!0}:{op:"=",value:e}}if("boolean"===t||"number"===t||Array.isArray(e)||e instanceof r)return{op:"=",value:e};throw Error(`Criteria.parse: type ${typeof e} not support`)}},u={columnNumberToName:e=>{let t=e,n="",r=0;for(;t>0;)r=(t-1)%26,n=String.fromCharCode("A".charCodeAt(0)+r)+n,t=Math.floor((t-r)/26);return n},columnNameToNumber:e=>{const t=(e=e.toUpperCase()).length;let n=0;for(let r=0;r<t;r++){const i=e.charCodeAt(r);isNaN(i)||(n+=(i-64)*26**(t-r-1))}return n},extend:(e,t)=>{if(null==t)return e;let n,r;if(s.isCellRef(e))n=0,r=0;else{if(!s.isRangeRef(e))throw Error("Address.extend should not reach here.");n=e.ref.to.row-e.ref.from.row,r=e.ref.to.col-e.ref.from.col}return s.isCellRef(t)?(n>0||r>0)&&(t={ref:{from:{col:t.ref.col,row:t.ref.row},to:{row:t.ref.row+n,col:t.ref.col+r}}}):(t.ref.to.row=t.ref.from.row+n,t.ref.to.col=t.ref.from.col+r),t}};e.exports={FormulaHelpers:s,Types:a,ReversedTypes:o,Factorials:[1,1,2,6,24,120,720,5040,40320,362880,3628800,39916800,479001600,6227020800,87178291200,1307674368e3,20922789888e3,355687428096e3,6402373705728e3,0x1b02b9306890000,243290200817664e4,5109094217170944e4,11240007277776077e5,2585201673888498e7,6204484017332394e8,15511210043330986e9,40329146112660565e10,10888869450418352e12,30488834461171387e13,8.841761993739702e30,26525285981219107e16,8222838654177922e18,2631308369336935e20,8683317618811886e21,29523279903960416e22,1.0333147966386145e40,37199332678990125e25,13763753091226346e27,5230226174666011e29,20397882081197444e30,8159152832478977e32,3345252661316381e34,140500611775288e37,6041526306337383e37,2658271574788449e39,11962222086548019e40,5502622159812089e42,25862324151116818e43,12413915592536073e45,6082818640342675e47,30414093201713376e48,15511187532873822e50,8065817517094388e52,42748832840600255e53,2308436973392414e56,12696403353658276e57,7109985878048635e59,40526919504877214e60,23505613312828785e62,1.3868311854568984e80,832098711274139e67,5075802138772248e68,3146997326038794e70,198260831540444e73,12688693218588417e73,8.247650592082472e90,5443449390774431e77,3647111091818868e79,24800355424368305e80,1711224524281413e83,1.1978571669969892e100,8504785885678623e86,61234458376886085e87,44701154615126844e89,3307885441519386e92,248091408113954e95,18854947016660504e95,14518309202828587e97,11324281178206297e99,8946182130782976e101,7156945704626381e103,5.797126020747368e120,4753643337012842e107,3945523969720659e109,3314240134565353e111,281710411438055e114,2.4227095383672734e130,2107757298379528e117,18548264225739844e118,1650795516090846e121,14857159644817615e122,1.352001527678403e140,12438414054641308e126,11567725070816416e128,1087366156656743e131,1032997848823906e133,9916779348709496e134,9619275968248212e136,9426890448883248e138,9332621544394415e140,9332621544394415e142],WildCard:l,Criteria:c,Address:u}},37338:(e,t,n)=>{const r=n(14297),{FormulaHelpers:i}=n(19858),a={unaryOp:(e,t,n)=>{let a=1;if(e.forEach((e=>{if("+"===e);else{if("-"!==e)throw new Error(`Unrecognized prefix: ${e}`);a=-a}})),null==t&&(t=0),1===a)return t;try{t=i.acceptNumber(t,n)}catch(e){if(!(e instanceof r))throw e;Array.isArray(t)&&(t=t[0][0])}return"number"==typeof t&&isNaN(t)?r.VALUE:-t}},o={percentOp:(e,t,n)=>{try{e=i.acceptNumber(e,n)}catch(e){if(e instanceof r)return e;throw e}if("%"===t)return e/100;throw new Error(`Unrecognized postfix: ${t}`)}},s={boolean:3,string:2,number:1},l={compareOp:(e,t,n,r,i)=>{null==e&&(e=0),null==n&&(n=0),r&&(e=e[0][0]),i&&(n=n[0][0]);const a=typeof e,o=typeof n;if(a===o)switch(t){case"=":return e===n;case">":return e>n;case"<":return e<n;case"<>":return e!==n;case"<=":return e<=n;case">=":return e>=n}else switch(t){case"=":return!1;case">":return s[a]>s[o];case"<":return s[a]<s[o];case"<>":return!0;case"<=":return s[a]<=s[o];case">=":return s[a]>=s[o]}throw Error("Infix.compareOp: Should not reach here.")},concatOp:(e,t,n,r,i)=>{null==e&&(e=""),null==n&&(n=""),r&&(e=e[0][0]),i&&(n=n[0][0]);return"boolean"===typeof e&&(e=e?"TRUE":"FALSE"),"boolean"===typeof n&&(n=n?"TRUE":"FALSE"),""+e+n},mathOp:(e,t,n,a,o)=>{null==e&&(e=0),null==n&&(n=0);try{e=i.acceptNumber(e,a),n=i.acceptNumber(n,o)}catch(e){if(e instanceof r)return e;throw e}switch(t){case"+":return e+n;case"-":return e-n;case"*":return e*n;case"/":return 0===n?r.DIV0:e/n;case"^":return e**n}throw Error("Infix.mathOp: Should not reach here.")}};e.exports={Prefix:a,Postfix:o,Infix:l,Operators:{compareOp:["<",">","=","<>","<=",">="],concatOp:["&"],mathOp:["+","-","*","/","^"]}}},10143:(e,t,n)=>{const r=n(14297),{FormulaHelpers:i}=n(19858),{Parser:a}=n(95493),o=n(43054),s=n(76818),{formatChevrotainError:l}=n(71528);e.exports={DepParser:class{constructor(e){this.data=[],this.utils=new s(this),e=Object.assign({onVariable:()=>null},e),this.utils=new s(this),this.onVariable=e.onVariable,this.functions={},this.parser=new a(this,this.utils)}getCell(e){if(null!=e.row){null==e.sheet&&(e.sheet=this.position?this.position.sheet:void 0);-1===this.data.findIndex((t=>t.from&&t.from.row<=e.row&&t.to.row>=e.row&&t.from.col<=e.col&&t.to.col>=e.col||t.row===e.row&&t.col===e.col&&t.sheet===e.sheet))&&this.data.push(e)}return 0}getRange(e){if(null!=e.from.row){null==e.sheet&&(e.sheet=this.position?this.position.sheet:void 0);-1===this.data.findIndex((t=>t.from&&t.from.row===e.from.row&&t.from.col===e.from.col&&t.to.row===e.to.row&&t.to.col===e.to.col))&&this.data.push(e)}return[[0]]}getVariable(e){const t={ref:this.onVariable(e,this.position.sheet)};return null==t.ref?r.NAME:(i.isCellRef(t)?this.getCell(t.ref):this.getRange(t.ref),0)}retrieveRef(e){return i.isRangeRef(e)?this.getRange(e.ref):i.isCellRef(e)?this.getCell(e.ref):e}callFunction(e,t){return t.forEach((e=>{null!=e&&this.retrieveRef(e)})),{value:0,ref:{}}}checkFormulaResult(e){this.retrieveRef(e)}parse(e,t,n=!1){if(0===e.length)throw Error("Input must not be empty.");this.data=[],this.position=t;const i=o.lex(e);this.parser.input=i.tokens;try{const e=this.parser.formulaWithBinaryOp();this.checkFormulaResult(e)}catch(e){if(!n)throw r.ERROR(e.message,e)}if(this.parser.errors.length>0&&!n){const t=this.parser.errors[0];throw l(t,e)}return this.data}}}},76818:(e,t,n)=>{const r=n(14297),{FormulaHelpers:i,Types:a,Address:o}=n(19858),{Prefix:s,Postfix:l,Infix:c,Operators:u}=n(37338),f=n(12096),d=1048576;e.exports=class{constructor(e){this.context=e}columnNameToNumber(e){return o.columnNameToNumber(e)}parseCellAddress(e){const t=e.match(/([$]?)([A-Za-z]{1,3})([$]?)([1-9][0-9]*)/);return{ref:{col:this.columnNameToNumber(t[2]),row:+t[4]}}}parseRow(e){const t=+e;if(!Number.isInteger(t))throw Error("Row number must be integer.");return{ref:{col:void 0,row:+e}}}parseCol(e){return{ref:{col:this.columnNameToNumber(e),row:void 0}}}applyPrefix(e,t){return this.extractRefValue(t),0}applyPostfix(e,t){return this.extractRefValue(e),0}applyInfix(e,t,n){return this.extractRefValue(e),this.extractRefValue(n),0}applyIntersect(e){if(this.isFormulaError(e[0]))return e[0];if(!e[0].ref)throw Error(`Expecting a reference, but got ${e[0]}.`);let t,n,i,a,o,s;const l=e.shift().ref;if(o=l.sheet,l.from)t=Math.max(l.from.row,l.to.row),i=Math.min(l.from.row,l.to.row),n=Math.max(l.from.col,l.to.col),a=Math.min(l.from.col,l.to.col);else{if(void 0===l.row||void 0===l.col)throw Error("Cannot intersect the whole row or column.");t=i=l.row,n=a=l.col}let c;return e.forEach((e=>{if(this.isFormulaError(e))return e;if(!(e=e.ref))throw Error(`Expecting a reference, but got ${e}.`);if(e.from){const s=Math.max(e.from.row,e.to.row),l=Math.min(e.from.row,e.to.row),u=Math.max(e.from.col,e.to.col),f=Math.min(e.from.col,e.to.col);(l>t||s<i||f>n||u<a||o!==e.sheet)&&(c=r.NULL),t=Math.min(t,s),i=Math.max(i,l),n=Math.min(n,u),a=Math.max(a,f)}else{if(void 0===e.row||void 0===e.col)throw Error("Cannot intersect the whole row or column.");(e.row>t||e.row<i||e.col>n||e.col<a||o!==e.sheet)&&(c=r.NULL),t=i=e.row,n=a=e.col}})),c||(s=t===i&&n===a?{ref:{sheet:o,row:t,col:n}}:{ref:{sheet:o,from:{row:i,col:a},to:{row:t,col:n}}},s.ref.sheet||delete s.ref.sheet,s)}applyUnion(e){const t=new f;for(let n=0;n<e.length;n++){if(this.isFormulaError(e[n]))return e[n];t.add(this.extractRefValue(e[n]).val,e[n])}return t}applyRange(e){let t,n=-1,r=-1,i=1048577,a=16385;return e.forEach((e=>{if(this.isFormulaError(e))return e;"number"==typeof e&&(e=this.parseRow(e)),void 0===(e=e.ref).row&&(i=1,n=d),void 0===e.col&&(a=1,r=16384),e.row>n&&(n=e.row),e.row<i&&(i=e.row),e.col>r&&(r=e.col),e.col<a&&(a=e.col)})),t=n===i&&r===a?{ref:{row:n,col:r}}:{ref:{from:{row:i,col:a},to:{row:n,col:r}}},t}extractRefValue(e){const t=Array.isArray(e);return e.ref?{val:this.context.retrieveRef(e),isArray:t}:{val:e,isArray:t}}toArray(e){return e}toNumber(e){return Number(e)}toString(e){return e.substring(1,e.length-1).replace(/""/g,'"')}toBoolean(e){return"TRUE"===e}toError(e){return new r(e.toUpperCase())}isFormulaError(e){return e instanceof r}}},47145:(e,t,n)=>{const r=n(87546),i=n(90055),a=n(74918),o=n(10550),s=n(96074),l=n(81148),c=n(18987),u=n(44778),f=n(13097),d=n(7939),h=n(14297),{FormulaHelpers:p}=n(19858),{Parser:m,allTokens:g}=n(95493),v=n(43054),y=n(71528);e.exports={FormulaParser:class{constructor(e,t=!1){this.logs=[],this.isTest=t,this.utils=new y(this),e=Object.assign({functions:{},functionsNeedContext:{},onVariable:()=>null,onCell:()=>0,onRange:()=>[[0]]},e),this.onVariable=e.onVariable,this.functions=Object.assign({},f,u,c,l,s,o,r,i,a,d,e.functions,e.functionsNeedContext),this.onRange=e.onRange,this.onCell=e.onCell,this.funsNullAs0=Object.keys(i).concat(Object.keys(a)).concat(Object.keys(o)).concat(Object.keys(s)).concat(Object.keys(l)).concat(Object.keys(u)).concat(Object.keys(f)),this.funsNeedContextAndNoDataRetrieve=["ROW","ROWS","COLUMN","COLUMNS","SUMIF","INDEX","AVERAGEIF","IF"],this.funsNeedContext=[...Object.keys(e.functionsNeedContext),...this.funsNeedContextAndNoDataRetrieve,"INDEX","OFFSET","INDIRECT","IF","CHOOSE","WEBSERVICE"],this.funsPreserveRef=Object.keys(c),this.parser=new m(this,this.utils)}static get allTokens(){return g}getCell(e){return null==e.sheet&&(e.sheet=this.position?this.position.sheet:void 0),this.onCell(e)}getRange(e){return null==e.sheet&&(e.sheet=this.position?this.position.sheet:void 0),this.onRange(e)}getVariable(e){const t={ref:this.onVariable(e,this.position.sheet,this.position)};return null==t.ref?h.NAME:t}retrieveRef(e){return p.isRangeRef(e)?this.getRange(e.ref):p.isCellRef(e)?this.getCell(e.ref):e}_callFunction(e,t){0===e.indexOf("_xlfn.")&&(e=e.slice(6)),e=e.toUpperCase();const n=this.funsNullAs0.includes(e)?0:"";if(this.funsNeedContextAndNoDataRetrieve.includes(e)||(t=t.map((t=>{if(null===t)return{value:n,isArray:!1,omitted:!0};const r=this.utils.extractRefValue(t);return this.funsPreserveRef.includes(e)?{value:r.val,isArray:r.isArray,ref:t.ref}:{value:r.val,isArray:r.isArray,isRangeRef:!!p.isRangeRef(t),isCellRef:!!p.isCellRef(t)}}))),this.functions[e]){let n;try{n=this.funsNeedContextAndNoDataRetrieve.includes(e)||this.funsNeedContext.includes(e)?this.functions[e](this,...t):this.functions[e](...t)}catch(e){if(e instanceof h)return e;throw e}if(void 0===n){if(this.isTest)return this.logs.includes(e)||this.logs.push(e),{value:0,ref:{}};throw h.NOT_IMPLEMENTED(e)}return n}if(this.isTest)return this.logs.includes(e)||this.logs.push(e),{value:0,ref:{}};throw h.NOT_IMPLEMENTED(e)}async callFunctionAsync(e,t){const n=[];for(const e of t)n.push(await e);const r=await this._callFunction(e,n);return p.checkFunctionResult(r)}callFunction(e,t){if(this.async)return this.callFunctionAsync(e,t);{const n=this._callFunction(e,t);return p.checkFunctionResult(n)}}supportedFunctions(){const e=[];return Object.keys(this.functions).forEach((t=>{try{if(void 0===this.functions[t](0,0,0,0,0,0,0,0,0,0,0))return;e.push(t)}catch(n){n instanceof Error&&e.push(t)}})),e.sort()}checkFormulaResult(e,t=!1){const n=typeof e;if("number"===n){if(isNaN(e))return h.VALUE;if(!isFinite(e))return h.NUM;e+=0}else if("object"===n){if(e instanceof h)return e;if(t){if(e.ref&&(e=this.retrieveRef(e)),"object"==typeof e&&!Array.isArray(e)&&null!=e)return h.VALUE}else if(e.ref&&e.ref.row&&!e.ref.from)e=this.retrieveRef(e);else 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maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:e,draw:t,atlas:{}}},w.prototype.update=function(e){var t=this;if("string"==typeof e)e={text:e};else if(!e)return;null!=(e=i(e,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding 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M=this.counts[E];if(A)for(var S=0;S<M;S++)k[T++]=e.position[2*E],k[T++]=e.position[2*E+1];else for(var O=0;O<M;O++)k[T++]=e.position[E][0],k[T++]=e.position[E][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:e.position};if(e.text||a){var C=u.mallocUint8(this.count),N=u.mallocFloat(2*this.count);this.textWidth=[];for(var R=0,L=0;R<this.counts.length;R++){for(var P=this.counts[R],D=this.font[R]||this.font[0],I=this.fontAtlas[R]||this.fontAtlas[0],j=0;j<P;j++){var F=this.text.charAt(L),z=this.text.charAt(L-1);if(C[L]=I.ids[F],N[2*L]=D.width[F],j){var B=N[2*L-2],U=N[2*L],$=N[2*L-1]+.5*B+.5*U;if(this.kerning){var H=D.kerning[z+F];H&&($+=.001*H)}N[2*L+1]=$}else 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0}))),null==this.baseline&&null==e.baseline&&(e.baseline=0),null!=e.baseline&&(this.baseline=e.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(e,n){var r=(t.font[n]||t.font[0]).metrics,i=0;return i+=.5*r.bottom,i+="number"==typeof e?e-r.baseline:-r[e],i*=-1}))),null!=e.color)if(e.color||(e.color="transparent"),"string"!=typeof e.color&&isNaN(e.color)){var q;if("number"==typeof e.color[0]&&e.color.length>this.counts.length){var V=e.color.length;q=u.mallocUint8(V);for(var W=(e.color.subarray||e.color.slice).bind(e.color),G=0;G<V;G+=4)q.set(l(W(G,G+4),"uint8"),G)}else{var Y=e.color.length;q=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)q.set(l(e.color[X]||0,"uint8"),4*X)}this.color=q}else this.color=l(e.color,"uint8");if(e.position||e.text||e.color||e.baseline||e.align||e.font||e.offset||e.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var Z=0;Z<this.batch.length;Z++)this.batch[Z]={count:this.counts.length>1?this.counts[Z]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Z]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*Z,4*Z+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Z]:this.opacity,baseline:null!=this.baselineOffset[Z]?this.baselineOffset[Z]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[Z]?this.alignOffset[Z]:this.alignOffset[0]:0,atlas:this.fontAtlas[Z]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*Z,2*Z+2):this.positionOffset}}else 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n,r,i=t.length,a=t[0].length,o=0,s=[],l=[],c=[],u=[],f=[],d=[],h=[],p=[],m=[],g=[];for(o=0;o<i;o++)s[o]=e.sum(t[o])/a;for(o=0;o<a;o++)for(h[o]=[],n=0;n<i;n++)h[o][n]=t[n][o]-s[n];for(h=e.transpose(h),o=0;o<i;o++)for(p[o]=[],n=0;n<i;n++)p[o][n]=e.dot([h[o]],[h[n]])/(a-1);for(m=(c=e.jacobi(p))[0],l=c[1],g=e.transpose(m),o=0;o<l.length;o++)for(n=o;n<l.length;n++)l[o]<l[n]&&(r=l[o],l[o]=l[n],l[n]=r,u=g[o],g[o]=g[n],g[n]=u);for(d=e.transpose(h),o=0;o<i;o++)for(f[o]=[],n=0;n<d.length;n++)f[o][n]=e.dot([g[o]],[d[n]]);return[t,l,g,f]}}),function(t){for(var n=0;n<t.length;n++)!function(t){e.fn[t]=function(n,r){var i=this;return r?(setTimeout((function(){r.call(i,e.fn[t].call(i,n))}),15),this):"number"==typeof e[t](this,n)?e[t](this,n):e(e[t](this,n))}}(t[n])}("add divide multiply subtract dot pow exp log abs norm angle".split(" "))}(t,Math),function(e,t){var n=[].slice,r=e.utils.isNumber,i=e.utils.isArray;function a(e,n,r,i){if(e>1||r>1||e<=0||r<=0)throw new Error("Proportions should be greater 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case the *a"+e+"* value is specified in pixels","relative to *"+e+"*.","Absolute positioning is useful","for trendline annotations which should continue to indicate","the correct trend when zoomed. 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Tags <em>, <sup>, <sub>","<span> are also supported."].join(" ")},textangle:{valType:"angle",dflt:0,editType:"calc+arraydraw",description:["Sets the angle at which the `text` is drawn","with respect to the horizontal."].join(" ")},font:i({editType:"calc+arraydraw",colorEditType:"arraydraw",description:"Sets the annotation text font."}),width:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw",description:["Sets an explicit width for the text box. null (default) lets the","text set the box width. Wider text will be clipped.","There is no automatic wrapping; use <br> to start a new line."].join(" ")},height:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw",description:["Sets an explicit height for the text box. null (default) lets the","text set the box height. Taller text will be clipped."].join(" ")},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw",description:"Sets the opacity of the annotation (text + arrow)."},align:{valType:"enumerated",values:["left","center","right"],dflt:"center",editType:"arraydraw",description:["Sets the horizontal alignment of the `text` within the box.","Has an effect only if `text` spans two or more lines","(i.e. `text` contains one or more <br> HTML tags) or if an","explicit width is set to override the text width."].join(" ")},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"arraydraw",description:["Sets the vertical alignment of the `text` within the box.","Has an effect only if an explicit height is set to override","the text height."].join(" ")},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw",description:"Sets the background color of the annotation."},bordercolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw",description:["Sets the color of the border enclosing the annotation `text`."].join(" ")},borderpad:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw",description:["Sets the padding (in px) between the `text`","and the enclosing border."].join(" ")},borderwidth:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw",description:["Sets the width (in px) of the border enclosing","the annotation `text`."].join(" ")},showarrow:{valType:"boolean",dflt:!0,editType:"calc+arraydraw",description:["Determines whether or not the annotation is drawn with an arrow.","If *true*, `text` is placed near the arrow's tail.","If *false*, `text` lines up with the `x` and `y` provided."].join(" ")},arrowcolor:{valType:"color",editType:"arraydraw",description:"Sets the color of the annotation arrow."},arrowhead:{valType:"integer",min:0,max:r.length,dflt:1,editType:"arraydraw",description:"Sets the end annotation arrow head style."},startarrowhead:{valType:"integer",min:0,max:r.length,dflt:1,editType:"arraydraw",description:"Sets the start annotation arrow head style."},arrowside:{valType:"flaglist",flags:["end","start"],extras:["none"],dflt:"end",editType:"arraydraw",description:"Sets the annotation arrow head position."},arrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw",description:["Sets the size of the end annotation arrow head, relative to `arrowwidth`.","A value of 1 (default) gives a head about 3x as wide as the line."].join(" ")},startarrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw",description:["Sets the size of the start annotation arrow head, relative to `arrowwidth`.","A value of 1 (default) gives a head about 3x as wide as the line."].join(" ")},arrowwidth:{valType:"number",min:.1,editType:"calc+arraydraw",description:"Sets the width (in px) of annotation arrow line."},standoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw",description:["Sets a distance, in pixels, to move the end arrowhead away from the","position it is pointing at, for example to point at the edge of","a marker independent of zoom. Note that this shortens the arrow","from the `ax` / `ay` vector, in contrast to `xshift` / `yshift`","which moves everything by this amount."].join(" ")},startstandoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw",description:["Sets a distance, in pixels, to move the start arrowhead away from the","position it is pointing at, for example to point at the edge of","a marker independent of zoom. Note that this shortens the arrow","from the `ax` / `ay` vector, in contrast to `xshift` / `yshift`","which moves everything by this amount."].join(" ")},ax:{valType:"any",editType:"calc+arraydraw",description:[c("x","left","right")].join(" ")},ay:{valType:"any",editType:"calc+arraydraw",description:[c("y","top","bottom")].join(" ")},axref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.x.toString()],editType:"calc",description:["Indicates in what coordinates the tail of the","annotation (ax,ay) is specified.",s.axisRefDescription("x","left","right"),l("x")].join(" ")},ayref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.y.toString()],editType:"calc",description:["Indicates in what coordinates the tail of the","annotation (ax,ay) is specified.",s.axisRefDescription("y","bottom","top"),l("y")].join(" ")},xref:{valType:"enumerated",values:["paper",a.idRegex.x.toString()],editType:"calc",description:["Sets the annotation's x coordinate axis.",s.axisRefDescription("x","left","right")].join(" ")},x:{valType:"any",editType:"calc+arraydraw",description:["Sets the annotation's x position.","If the axis `type` is *log*, then you must take the","log of your desired range.","If the axis `type` is *date*, it should be date strings,","like date data, though Date objects and unix milliseconds","will be accepted and converted to strings.","If the axis `type` is *category*, it should be numbers,","using the scale where each category is assigned a serial","number from zero in the order it appears."].join(" ")},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"auto",editType:"calc+arraydraw",description:["Sets the text box's horizontal position anchor","This anchor binds the `x` position to the *left*, *center*","or *right* of the annotation.","For example, if `x` is set to 1, `xref` to *paper* and","`xanchor` to *right* then the right-most portion of the","annotation lines up with the right-most edge of the","plotting area.","If *auto*, the anchor is equivalent to *center* for","data-referenced annotations or if there is an arrow,","whereas for paper-referenced with no arrow, the anchor picked","corresponds to the closest side."].join(" ")},xshift:{valType:"number",dflt:0,editType:"calc+arraydraw",description:["Shifts the position of the whole annotation and arrow to the","right (positive) or left (negative) by this many pixels."].join(" ")},yref:{valType:"enumerated",values:["paper",a.idRegex.y.toString()],editType:"calc",description:["Sets the annotation's y coordinate axis.",s.axisRefDescription("y","bottom","top")].join(" ")},y:{valType:"any",editType:"calc+arraydraw",description:["Sets the annotation's y position.","If the axis `type` is *log*, then you must take the","log of your desired range.","If the axis `type` is *date*, it should be date strings,","like date data, though Date objects and unix milliseconds","will be accepted and converted to strings.","If the axis `type` is *category*, it should be numbers,","using the scale where each category is assigned a serial","number from zero in the order it appears."].join(" ")},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"auto",editType:"calc+arraydraw",description:["Sets the text box's vertical position anchor","This anchor binds the `y` position to the *top*, *middle*","or *bottom* of the annotation.","For example, if `y` is set to 1, `yref` to *paper* and","`yanchor` to *top* then the top-most portion of the","annotation lines up with the top-most edge of the","plotting area.","If *auto*, the anchor is equivalent to *middle* for","data-referenced annotations or if there is an arrow,","whereas for paper-referenced with no arrow, the anchor picked","corresponds to the closest side."].join(" ")},yshift:{valType:"number",dflt:0,editType:"calc+arraydraw",description:["Shifts the position of the whole annotation and arrow up","(positive) or down (negative) by this many pixels."].join(" ")},clicktoshow:{valType:"enumerated",values:[!1,"onoff","onout"],dflt:!1,editType:"arraydraw",description:["Makes this annotation respond to clicks on the plot.","If you click a data point that exactly matches the `x` and `y`","values of this annotation, and it is hidden (visible: false),","it will appear. In *onoff* mode, you must click the same point","again to make it disappear, so if you click multiple points,","you can show multiple annotations. In *onout* mode, a click","anywhere else in the plot (on another data point or not) will","hide this annotation.","If you need to show/hide this annotation in response to different","`x` or `y` values, you can set `xclick` and/or `yclick`. This is","useful for example to label the side of a bar. To label markers","though, `standoff` is preferred over `xclick` and `yclick`."].join(" ")},xclick:{valType:"any",editType:"arraydraw",description:["Toggle this annotation when clicking a data point whose `x` value","is `xclick` rather than the annotation's `x` value."].join(" ")},yclick:{valType:"any",editType:"arraydraw",description:["Toggle this annotation when clicking a data point whose `y` value","is `yclick` rather than the annotation's `y` value."].join(" ")},hovertext:{valType:"string",editType:"arraydraw",description:["Sets text to appear when hovering over this annotation.","If omitted or blank, no hover label will appear."].join(" ")},hoverlabel:{bgcolor:{valType:"color",editType:"arraydraw",description:["Sets the background color of the hover label.","By default uses the annotation's `bgcolor` made opaque,","or white if it was transparent."].join(" ")},bordercolor:{valType:"color",editType:"arraydraw",description:["Sets the border color of the hover label.","By default uses either dark grey or white, for maximum","contrast with `hoverlabel.bgcolor`."].join(" ")},font:i({editType:"arraydraw",description:["Sets the hover label text font.","By default uses the global hover font and size,","with color from `hoverlabel.bordercolor`."].join(" ")}),editType:"arraydraw"},captureevents:{valType:"boolean",editType:"arraydraw",description:["Determines whether the annotation text box captures mouse move","and click events, or allows those events to pass through to data","points in the plot that may be behind the annotation. By default","`captureevents` is *false* unless `hovertext` is provided.","If you use the event `plotly_clickannotation` without `hovertext`","you must explicitly enable `captureevents`."].join(" ")},editType:"calc",_deprecated:{ref:{valType:"string",editType:"calc",description:["Obsolete. Set `xref` and `yref` separately instead."].join(" ")}}})},36436:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(26216).draw;function o(e){var t=e._fullLayout;r.filterVisible(t.annotations).forEach((function(t){var n=i.getFromId(e,t.xref),r=i.getFromId(e,t.yref),a=i.getRefType(t.xref),o=i.getRefType(t.yref);t._extremes={},"range"===a&&s(t,n),"range"===o&&s(t,r)}))}function s(e,t){var n,r=t._id,a=r.charAt(0),o=e[a],s=e["a"+a],l=e[a+"ref"],c=e["a"+a+"ref"],u=e["_"+a+"padplus"],f=e["_"+a+"padminus"],d={x:1,y:-1}[a]*e[a+"shift"],h=3*e.arrowsize*e.arrowwidth||0,p=h+d,m=h-d,g=3*e.startarrowsize*e.arrowwidth||0,v=g+d,y=g-d;if(c===l){var b=i.findExtremes(t,[t.r2c(o)],{ppadplus:p,ppadminus:m}),x=i.findExtremes(t,[t.r2c(s)],{ppadplus:Math.max(u,v),ppadminus:Math.max(f,y)});n={min:[b.min[0],x.min[0]],max:[b.max[0],x.max[0]]}}else v=s?v+s:v,y=s?y-s:y,n=i.findExtremes(t,[t.r2c(o)],{ppadplus:Math.max(u,p,v),ppadminus:Math.max(f,m,y)});e._extremes[r]=n}e.exports=function(e){var t=e._fullLayout;if(r.filterVisible(t.annotations).length&&e._fullData.length)return r.syncOrAsync([a,o],e)}},20700:(e,t,n)=>{"use strict";var r=n(14932),i=n(25529),a=n(60131).arrayEditor;function o(e,t){var n,r,i,a,o,l,c,u=e._fullLayout.annotations,f=[],d=[],h=[],p=(t||[]).length;for(n=0;n<u.length;n++)if(a=(i=u[n]).clicktoshow){for(r=0;r<p;r++)if(l=(o=t[r]).xaxis,c=o.yaxis,l._id===i.xref&&c._id===i.yref&&l.d2r(o.x)===s(i._xclick,l)&&c.d2r(o.y)===s(i._yclick,c)){(i.visible?"onout"===a?d:h:f).push(n);break}r===p&&i.visible&&"onout"===a&&d.push(n)}return{on:f,off:d,explicitOff:h}}function s(e,t){return"log"===t.type?t.l2r(e):t.d2r(e)}e.exports={hasClickToShow:function(e,t){var n=o(e,t);return n.on.length>0||n.explicitOff.length>0},onClick:function(e,t){var n,s,l=o(e,t),c=l.on,u=l.off.concat(l.explicitOff),f={},d=e._fullLayout.annotations;if(!c.length&&!u.length)return;for(n=0;n<c.length;n++)(s=a(e.layout,"annotations",d[c[n]])).modifyItem("visible",!0),r.extendFlat(f,s.getUpdateObj());for(n=0;n<u.length;n++)(s=a(e.layout,"annotations",d[u[n]])).modifyItem("visible",!1),r.extendFlat(f,s.getUpdateObj());return i.call("update",e,{},f)}}},95920:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906);e.exports=function(e,t,n,a){a("opacity");var o=a("bgcolor"),s=a("bordercolor"),l=i.opacity(s);a("borderpad");var c=a("borderwidth"),u=a("showarrow");if(a("text",u?" ":n._dfltTitle.annotation),a("textangle"),r.coerceFont(a,"font",n.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,d,h=a("arrowside");-1!==h.indexOf("end")&&(f=a("arrowhead"),d=a("arrowsize")),-1!==h.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",d)),a("arrowcolor",l?t.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var p=a("hovertext"),m=n.hoverlabel||{};if(p){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));r.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!p)}},99436:(e,t,n)=>{"use strict";var r=n(2964),i=n(9244);e.exports=function(e,t,n,a){t=t||{};var o="log"===n&&"linear"===t.type,s="linear"===n&&"log"===t.type;if(o||s)for(var l,c,u=e._fullLayout.annotations,f=t._id.charAt(0),d=0;d<u.length;d++)l=u[d],c="annotations["+d+"].",l[f+"ref"]===t._id&&h(f),l["a"+f+"ref"]===t._id&&h("a"+f);function h(e){var n=l[e],s=null;s=o?i(n,t.range):Math.pow(10,n),r(s)||(s=null),a(c+e,s)}}},63812:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(86243),o=n(95920),s=n(2563);function l(e,t,n){function a(n,i){return r.coerce(e,t,s,n,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(e,t,n,a);for(var u=t.showarrow,f=["x","y"],d=[-10,-30],h={_fullLayout:n},p=0;p<2;p++){var m=f[p],g=i.coerceRef(e,t,h,m,"","paper");if("paper"!==g)i.getFromId(h,g)._annIndices.push(t._index);if(i.coercePosition(t,h,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(e,t,h,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=t[v]="pixel");var b="pixel"===y?d[p]:.4;i.coercePosition(t,h,a,y,v,b)}a(m+"anchor"),a(m+"shift")}if(r.noneOrAll(e,t,["x","y"]),u&&r.noneOrAll(e,t,["ax","ay"]),c){var x=a("xclick"),_=a("yclick");t._xclick=void 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n=V.selectAll("a");1===n.size()&&n.text()===V.text()&&I.insert("a",":first-child").attr({"xlink:xlink:href":n.attr("xlink:href"),"xlink:xlink:show":n.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(B.node());var r=I.select(".annotation-text-math-group"),f=!r.empty(),m=u.bBox((f?r:V).node()),x=m.width,_=m.height,E=t.width||x,D=t.height||_,F=Math.round(E+2*z),H=Math.round(D+2*z);function q(e,t){return"auto"===t&&(t=e<1/3?"left":e>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[t]}for(var G=!1,Y=["x","y"],X=0;X<Y.length;X++){var K,Z,J,Q,ee,te=Y[X],ne=t[te+"ref"]||te,re=t["a"+te+"ref"],ie={x:v,y:b}[te],ae=(N+("x"===te?0:-90))*Math.PI/180,oe=F*Math.cos(ae),se=H*Math.sin(ae),le=Math.abs(oe)+Math.abs(se),ce=t[te+"anchor"],ue=t[te+"shift"]*("x"===te?1:-1),fe=C[te],de=l.getRefType(ne);if(ie&&"domain"!==de){var he=ie.r2fraction(t[te]);(he<0||he>1)&&(re===ne?((he=ie.r2fraction(t["a"+te]))<0||he>1)&&(G=!0):G=!0),K=ie._offset+ie.r2p(t[te]),Q=.5}else{var pe="domain"===de;"x"===te?(J=t[te],K=pe?ie._offset+ie._length*J:K=w.l+w.w*J):(J=1-t[te],K=pe?ie._offset+ie._length*J:K=w.t+w.h*J),Q=t.showarrow?.5:J}if(t.showarrow){fe.head=K;var me=t["a"+te];if(ee=oe*q(.5,t.xanchor)-se*q(.5,t.yanchor),re===ne){var ge=l.getRefType(re);"domain"===ge?("y"===te&&(me=1-me),fe.tail=ie._offset+ie._length*me):"paper"===ge?"y"===te?(me=1-me,fe.tail=w.t+w.h*me):fe.tail=w.l+w.w*me:fe.tail=ie._offset+ie.r2p(me),Z=ee}else fe.tail=K+me,Z=ee+me;fe.text=fe.tail+ee;var ve=A["x"===te?"width":"height"];if("paper"===ne&&(fe.head=o.constrain(fe.head,1,ve-1)),"pixel"===re){var ye=-Math.max(fe.tail-3,fe.text),be=Math.min(fe.tail+3,fe.text)-ve;ye>0?(fe.tail+=ye,fe.text+=ye):be>0&&(fe.tail-=be,fe.text-=be)}fe.tail+=ue,fe.head+=ue}else Z=ee=le*q(Q,ce),fe.text=K+ee;fe.text+=ue,ee+=ue,Z+=ue,t["_"+te+"padplus"]=le/2+Z,t["_"+te+"padminus"]=le/2-Z,t["_"+te+"size"]=le,t["_"+te+"shift"]=ee}if(G)I.remove();else{var xe=0,_e=0;if("left"!==t.align&&(xe=(E-x)*("center"===t.align?.5:1)),"top"!==t.valign&&(_e=(D-_)*("middle"===t.valign?.5:1)),f)r.select("svg").attr({x:z+xe-1,y:z+_e}).call(u.setClipUrl,U?O:null,e);else{var Ae=z+_e-m.top,we=z+xe-m.left;V.call(d.positionText,we,Ae).call(u.setClipUrl,U?O:null,e)}$.select("rect").call(u.setRect,z,z,E,D),B.call(u.setRect,j/2,j/2,F-j,H-j),I.call(u.setTranslate,Math.round(C.x.text-F/2),Math.round(C.y.text-H/2)),L.attr({transform:"rotate("+N+","+C.x.text+","+C.y.text+")"});var ke,Ee=function(n,r){R.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,d=C.x.tail+n,h=C.y.tail+r,m=C.x.text+n,x=C.y.text+r,_=o.rotationXYMatrix(N,m,x),A=o.apply2DTransform(_),E=o.apply2DTransform2(_),O=+B.attr("width"),P=+B.attr("height"),D=m-.5*O,j=D+O,F=x-.5*P,z=F+P,U=[[D,F,D,z],[D,z,j,z],[j,z,j,F],[j,F,D,F]].map(E);if(!U.reduce((function(e,t){return e^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,t[0],t[1],t[2],t[3])}),!1)){U.forEach((function(e){var t=o.segmentsIntersect(d,h,l,f,e[0],e[1],e[2],e[3]);t&&(d=t.x,h=t.y)}));var $=t.arrowwidth,H=t.arrowcolor,q=t.arrowside,V=R.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),W=V.append("path").attr("d","M"+d+","+h+"L"+l+","+f).style("stroke-width",$+"px").call(c.stroke,c.rgb(H));if(g(W,q,t),k.annotationPosition&&W.node().parentNode&&!a){var G=l,Y=f;if(t.standoff){var X=Math.sqrt(Math.pow(l-d,2)+Math.pow(f-h,2));G+=t.standoff*(d-l)/X,Y+=t.standoff*(h-f)/X}var K,Z,J=V.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(d-G)+","+(h-Y),transform:s(G,Y)}).style("stroke-width",$+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");p.init({element:J.node(),gd:e,prepFn:function(){var e=u.getTranslate(I);K=e.x,Z=e.y,v&&v.autorange&&T(v._name+".autorange",!0),b&&b.autorange&&T(b._name+".autorange",!0)},moveFn:function(e,n){var r=A(K,Z),i=r[0]+e,a=r[1]+n;I.call(u.setTranslate,i,a),M("x",y(v,e,"x",w,t)),M("y",y(b,n,"y",w,t)),t.axref===t.xref&&M("ax",y(v,e,"ax",w,t)),t.ayref===t.yref&&M("ay",y(b,n,"ay",w,t)),V.attr("transform",s(e,n)),L.attr({transform:"rotate("+N+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",e,S());var t=document.querySelector(".js-notes-box-panel");t&&t.redraw(t.selectedObj)}})}}};if(t.showarrow&&Ee(0,0),P)p.init({element:I.node(),gd:e,prepFn:function(){ke=L.attr("transform")},moveFn:function(e,n){var r="pointer";if(t.showarrow)t.axref===t.xref?M("ax",y(v,e,"ax",w,t)):M("ax",t.ax+e),t.ayref===t.yref?M("ay",y(b,n,"ay",w.w,t)):M("ay",t.ay+n),Ee(e,n);else{if(a)return;var i,o;if(v)i=y(v,e,"x",w,t);else{var l=t._xsize/w.w,c=t.x+(t._xshift-t.xshift)/w.w-l/2;i=p.align(c+e/w.w,l,0,1,t.xanchor)}if(b)o=y(b,n,"y",w,t);else{var u=t._ysize/w.h,f=t.y-(t._yshift+t.yshift)/w.h-u/2;o=p.align(f-n/w.h,u,0,1,t.yanchor)}M("x",i),M("y",o),v&&b||(r=p.getCursor(v?.5:i,b?.5:o,t.xanchor,t.yanchor))}L.attr({transform:s(e,n)+ke}),h(I,r)},clickFn:function(n,r){t.captureevents&&e.emit("plotly_clickannotation",W(r))},doneFn:function(){h(I),i.call("_guiRelayout",e,S());var t=document.querySelector(".js-notes-box-panel");t&&t.redraw(t.selectedObj)}})}}}e.exports={draw:function(e){var t=e._fullLayout;t._infolayer.selectAll(".annotation").remove();for(var n=0;n<t.annotations.length;n++)t.annotations[n].visible&&v(e,n);return a.previousPromises(e)},drawOne:v,drawRaw:b}},86319:(e,t,n)=>{"use strict";var r=n(90607),i=n(39906),a=n(62678),o=n(14932),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(e,t,n){var o,u,f,d,h=e.node(),p=a[n.arrowhead||0],m=a[n.startarrowhead||0],g=(n.arrowwidth||1)*(n.arrowsize||1),v=(n.arrowwidth||1)*(n.startarrowsize||1),y=t.indexOf("start")>=0,b=t.indexOf("end")>=0,x=p.backoff*g+n.standoff,_=m.backoff*v+n.startstandoff;if("line"===h.nodeName){o={x:+e.attr("x1"),y:+e.attr("y1")},u={x:+e.attr("x2"),y:+e.attr("y2")};var A=o.x-u.x,w=o.y-u.y;if(d=(f=Math.atan2(w,A))+Math.PI,x&&_&&x+_>Math.sqrt(A*A+w*w))return void P();if(x){if(x*x>A*A+w*w)return void P();var k=x*Math.cos(f),E=x*Math.sin(f);u.x+=k,u.y+=E,e.attr({x2:u.x,y2:u.y})}if(_){if(_*_>A*A+w*w)return void P();var T=_*Math.cos(f),M=_*Math.sin(f);o.x-=T,o.y-=M,e.attr({x1:o.x,y1:o.y})}}else if("path"===h.nodeName){var S=h.getTotalLength(),O="";if(S<x+_)return void P();var C=h.getPointAtLength(0),N=h.getPointAtLength(.1);f=Math.atan2(C.y-N.y,C.x-N.x),o=h.getPointAtLength(Math.min(_,S)),O="0px,"+_+"px,";var R=h.getPointAtLength(S),L=h.getPointAtLength(S-.1);d=Math.atan2(R.y-L.y,R.x-L.x),u=h.getPointAtLength(Math.max(0,S-x)),O+=S-(O?_+x:x)+"px,"+S+"px",e.style("stroke-dasharray",O)}function P(){e.style("stroke-dasharray","0px,100px")}function D(t,a,o,u){t.path&&(t.noRotate&&(o=0),r.select(h.parentNode).append("path").attr({class:e.attr("class"),d:t.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(n.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),b&&D(p,u,d,g)}},62512:(e,t,n)=>{"use strict";var r=n(26216),i=n(20700);e.exports={moduleType:"component",name:"annotations",layoutAttributes:n(2563),supplyLayoutDefaults:n(63812),includeBasePlot:n(45693)("annotations"),calcAutorange:n(36436),draw:r.draw,drawOne:r.drawOne,drawRaw:r.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:n(99436)}},14242:(e,t,n)=>{"use strict";var r=n(2563),i=n(65963).overrideAll,a=n(60131).templatedArray;e.exports=i(a("annotation",{visible:r.visible,x:{valType:"any",description:["Sets the annotation's x position."].join(" ")},y:{valType:"any",description:["Sets the annotation's y position."].join(" ")},z:{valType:"any",description:["Sets the annotation's z position."].join(" ")},ax:{valType:"number",description:["Sets the x component of the arrow tail about the arrow head (in pixels)."].join(" ")},ay:{valType:"number",description:["Sets the y component of the arrow tail about the arrow head (in pixels)."].join(" ")},xanchor:r.xanchor,xshift:r.xshift,yanchor:r.yanchor,yshift:r.yshift,text:r.text,textangle:r.textangle,font:r.font,width:r.width,height:r.height,opacity:r.opacity,align:r.align,valign:r.valign,bgcolor:r.bgcolor,bordercolor:r.bordercolor,borderpad:r.borderpad,borderwidth:r.borderwidth,showarrow:r.showarrow,arrowcolor:r.arrowcolor,arrowhead:r.arrowhead,startarrowhead:r.startarrowhead,arrowside:r.arrowside,arrowsize:r.arrowsize,startarrowsize:r.startarrowsize,arrowwidth:r.arrowwidth,standoff:r.standoff,startstandoff:r.startstandoff,hovertext:r.hovertext,hoverlabel:r.hoverlabel,captureevents:r.captureevents}),"calc","from-root")},42436:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465);function a(e,t){var n=t.fullSceneLayout.domain,a=t.fullLayout._size,o={pdata:null,type:"linear",autorange:!1,range:[-1/0,1/0]};e._xa={},r.extendFlat(e._xa,o),i.setConvert(e._xa),e._xa._offset=a.l+n.x[0]*a.w,e._xa.l2p=function(){return.5*(1+e._pdata[0]/e._pdata[3])*a.w*(n.x[1]-n.x[0])},e._ya={},r.extendFlat(e._ya,o),i.setConvert(e._ya),e._ya._offset=a.t+(1-n.y[1])*a.h,e._ya.l2p=function(){return.5*(1-e._pdata[1]/e._pdata[3])*a.h*(n.y[1]-n.y[0])}}e.exports=function(e){for(var t=e.fullSceneLayout.annotations,n=0;n<t.length;n++)a(t[n],e);e.fullLayout._infolayer.selectAll(".annotation-"+e.id).remove()}},78165:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(86243),o=n(95920),s=n(14242);function l(e,t,n,a){function l(n,i){return r.coerce(e,t,s,n,i)}function c(e){var r=e+"axis",a={_fullLayout:{}};return a._fullLayout[r]=n[r],i.coercePosition(t,a,l,e,e,.5)}l("visible")&&(o(e,t,a.fullLayout,l),c("x"),c("y"),c("z"),r.noneOrAll(e,t,["x","y","z"]),t.xref="x",t.yref="y",t.zref="z",l("xanchor"),l("yanchor"),l("xshift"),l("yshift"),t.showarrow&&(t.axref="pixel",t.ayref="pixel",l("ax",-10),l("ay",-30),r.noneOrAll(e,t,["ax","ay"])))}e.exports=function(e,t,n){a(e,t,{name:"annotations",handleItemDefaults:l,fullLayout:n.fullLayout})}},85885:(e,t,n)=>{"use strict";var r=n(26216).drawRaw,i=n(56945),a=["x","y","z"];e.exports=function(e){for(var t=e.fullSceneLayout,n=e.dataScale,o=t.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var f=a[u],d=l[f],h=t[f+"axis"].r2fraction(d);if(h<0||h>1){c=!0;break}}c?e.fullLayout._infolayer.select(".annotation-"+e.id+'[data-index="'+s+'"]').remove():(l._pdata=i(e.glplot.cameraParams,[t.xaxis.r2l(l.x)*n[0],t.yaxis.r2l(l.y)*n[1],t.zaxis.r2l(l.z)*n[2]]),r(e.graphDiv,l,s,e.id,l._xa,l._ya))}}},43227:(e,t,n)=>{"use strict";var r=n(25529),i=n(14932);e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:n(14242)}}},layoutAttributes:n(14242),handleDefaults:n(78165),includeBasePlot:function(e,t){var n=r.subplotsRegistry.gl3d;if(!n)return;for(var a=n.attrRegex,o=Object.keys(e),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(e[l].annotations||[]).length&&(i.pushUnique(t._basePlotModules,n),i.pushUnique(t._subplots.gl3d,l))}},convert:n(42436),draw:n(85885)}},53416:(e,t)=>{"use strict";t.defaults=["#1f77b4","#ff7f0e","#2ca02c","#d62728","#9467bd","#8c564b","#e377c2","#7f7f7f","#bcbd22","#17becf"],t.defaultLine="#444",t.lightLine="#eee",t.background="#fff",t.borderLine="#BEC8D9",t.lightFraction=1e3/11},39906:(e,t,n)=>{"use strict";var r=n(21176),i=n(2964),a=n(22469).isTypedArray,o=e.exports={},s=n(53416);o.defaults=s.defaults;var l=o.defaultLine=s.defaultLine;o.lightLine=s.lightLine;var c=o.background=s.background;function u(e){if(i(e)||"string"!=typeof e)return e;var t=e.trim();if("rgb"!==t.substr(0,3))return e;var n=t.match(/^rgba?\s*\(([^()]*)\)$/);if(!n)return e;var r=n[1].trim().split(/\s*[\s,]\s*/),a="a"===t.charAt(3)&&4===r.length;if(!a&&3!==r.length)return e;for(var o=0;o<r.length;o++){if(!r[o].length)return e;if(r[o]=Number(r[o]),!(r[o]>=0))return e;if(3===o)r[o]>1&&(r[o]=1);else if(r[o]>=1)return e}var s=Math.round(255*r[0])+", "+Math.round(255*r[1])+", "+Math.round(255*r[2]);return a?"rgba("+s+", "+r[3]+")":"rgb("+s+")"}o.tinyRGB=function(e){var t=e.toRgb();return"rgb("+Math.round(t.r)+", "+Math.round(t.g)+", "+Math.round(t.b)+")"},o.rgb=function(e){return o.tinyRGB(r(e))},o.opacity=function(e){return e?r(e).getAlpha():0},o.addOpacity=function(e,t){var n=r(e).toRgb();return"rgba("+Math.round(n.r)+", "+Math.round(n.g)+", "+Math.round(n.b)+", "+t+")"},o.combine=function(e,t){var n=r(e).toRgb();if(1===n.a)return r(e).toRgbString();var i=r(t||c).toRgb(),a=1===i.a?i:{r:255*(1-i.a)+i.r*i.a,g:255*(1-i.a)+i.g*i.a,b:255*(1-i.a)+i.b*i.a},o={r:a.r*(1-n.a)+n.r*n.a,g:a.g*(1-n.a)+n.g*n.a,b:a.b*(1-n.a)+n.b*n.a};return r(o).toRgbString()},o.interpolate=function(e,t,n){var i=r(e).toRgb(),a=r(t).toRgb(),o={r:n*i.r+(1-n)*a.r,g:n*i.g+(1-n)*a.g,b:n*i.b+(1-n)*a.b};return r(o).toRgbString()},o.contrast=function(e,t,n){var i=r(e);return 1!==i.getAlpha()&&(i=r(o.combine(e,c))),(i.isDark()?t?i.lighten(t):c:n?i.darken(n):l).toString()},o.stroke=function(e,t){var n=r(t);e.style({stroke:o.tinyRGB(n),"stroke-opacity":n.getAlpha()})},o.fill=function(e,t){var n=r(t);e.style({fill:o.tinyRGB(n),"fill-opacity":n.getAlpha()})},o.clean=function(e){if(e&&"object"==typeof e){var t,n,r,i,s=Object.keys(e);for(t=0;t<s.length;t++)if(i=e[r=s[t]],"color"===r.substr(r.length-5))if(Array.isArray(i))for(n=0;n<i.length;n++)i[n]=u(i[n]);else e[r]=u(i);else if("colorscale"===r.substr(r.length-10)&&Array.isArray(i))for(n=0;n<i.length;n++)Array.isArray(i[n])&&(i[n][1]=u(i[n][1]));else if(Array.isArray(i)){var l=i[0];if(!Array.isArray(l)&&l&&"object"==typeof l)for(n=0;n<i.length;n++)o.clean(i[n])}else i&&"object"==typeof i&&!a(i)&&o.clean(i)}}},99765:(e,t,n)=>{"use strict";var r=n(91800),i=n(45436),a=n(62134).extendFlat,o=n(65963).overrideAll;e.exports=o({orientation:{valType:"enumerated",values:["h","v"],dflt:"v",description:"Sets the orientation of the colorbar."},thicknessmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"pixels",description:["Determines whether this color bar's thickness","(i.e. the measure in the constant color direction)","is set in units of plot *fraction* or in *pixels*.","Use `thickness` to set the value."].join(" ")},thickness:{valType:"number",min:0,dflt:30,description:["Sets the thickness of the color bar","This measure excludes the size of the padding, ticks and labels."].join(" ")},lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction",description:["Determines whether this color bar's length","(i.e. the measure in the color variation direction)","is set in units of plot *fraction* or in *pixels.","Use `len` to set the value."].join(" ")},len:{valType:"number",min:0,dflt:1,description:["Sets the length of the color bar","This measure excludes the padding of both ends.","That is, the color bar length is this length minus the","padding on both ends."].join(" ")},x:{valType:"number",description:["Sets the x position with respect to `xref` of the color bar (in plot fraction).","When `xref` is *paper*, defaults to 1.02 when `orientation` is *v* and","0.5 when `orientation` is *h*.","When `xref` is *container*, defaults to *1* when `orientation` is *v* and","0.5 when `orientation` is *h*.","Must be between *0* and *1* if `xref` is *container*","and between *-2* and *3* if `xref` is *paper*."].join(" ")},xref:{valType:"enumerated",dflt:"paper",values:["container","paper"],editType:"layoutstyle",description:["Sets the container `x` refers to.","*container* spans the entire `width` of the plot.","*paper* refers to the width of the plotting area only."].join(" ")},xanchor:{valType:"enumerated",values:["left","center","right"],description:["Sets this color bar's horizontal position anchor.","This anchor binds the `x` position to the *left*, *center*","or *right* of the color bar.","Defaults to *left* when `orientation` is *v* and","*center* when `orientation` is *h*."].join(" ")},xpad:{valType:"number",min:0,dflt:10,description:"Sets the amount of padding (in px) along the x direction."},y:{valType:"number",description:["Sets the y position with respect to `yref` of the color bar (in plot fraction).","When `yref` is *paper*, defaults to 0.5 when `orientation` is *v* and","1.02 when `orientation` is *h*.","When `yref` is *container*, defaults to 0.5 when `orientation` is *v* and","1 when `orientation` is *h*.","Must be between *0* and *1* if `yref` is *container*","and between *-2* and *3* if `yref` is *paper*."].join(" ")},yref:{valType:"enumerated",dflt:"paper",values:["container","paper"],editType:"layoutstyle",description:["Sets the container `y` refers to.","*container* spans the entire `height` of the plot.","*paper* refers to the height of the plotting area only."].join(" ")},yanchor:{valType:"enumerated",values:["top","middle","bottom"],description:["Sets this color bar's vertical position anchor","This anchor binds the `y` position to the *top*, *middle*","or *bottom* of the color bar.","Defaults to *middle* when `orientation` is *v* and","*bottom* when `orientation` is *h*."].join(" ")},ypad:{valType:"number",min:0,dflt:10,description:"Sets the amount of padding (in px) along the y direction."},outlinecolor:r.linecolor,outlinewidth:r.linewidth,bordercolor:r.linecolor,borderwidth:{valType:"number",min:0,dflt:0,description:["Sets the width (in px) or the border enclosing this color bar."].join(" ")},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",description:"Sets the color of padded area."},tickmode:r.minor.tickmode,nticks:r.nticks,tick0:r.tick0,dtick:r.dtick,tickvals:r.tickvals,ticktext:r.ticktext,ticks:a({},r.ticks,{dflt:""}),ticklabeloverflow:a({},r.ticklabeloverflow,{description:["Determines how we handle tick labels that would overflow either the graph div or the domain of the axis.","The default value for inside tick labels is *hide past domain*.","In other cases the default is *hide past div*."].join(" ")}),ticklabelposition:{valType:"enumerated",values:["outside","inside","outside top","inside top","outside left","inside left","outside right","inside right","outside bottom","inside bottom"],dflt:"outside",description:["Determines where tick labels are drawn relative to the ticks.","Left and right options are used when `orientation` is *h*,","top and bottom when `orientation` is *v*."].join(" ")},ticklen:r.ticklen,tickwidth:r.tickwidth,tickcolor:r.tickcolor,ticklabelstep:r.ticklabelstep,showticklabels:r.showticklabels,labelalias:r.labelalias,tickfont:i({description:"Sets the color bar's tick label font"}),tickangle:r.tickangle,tickformat:r.tickformat,tickformatstops:r.tickformatstops,tickprefix:r.tickprefix,showtickprefix:r.showtickprefix,ticksuffix:r.ticksuffix,showticksuffix:r.showticksuffix,separatethousands:r.separatethousands,exponentformat:r.exponentformat,minexponent:r.minexponent,showexponent:r.showexponent,title:{text:{valType:"string",description:["Sets the title of the color bar.","Note that before the existence of `title.text`, the title's","contents used to be defined as the `title` attribute itself.","This behavior has been deprecated."].join(" ")},font:i({description:["Sets this color bar's title font.","Note that the title's font used to be set","by the now deprecated `titlefont` attribute."].join(" ")}),side:{valType:"enumerated",values:["right","top","bottom"],description:["Determines the location of color bar's title","with respect to the color bar.","Defaults to *top* when `orientation` if *v* and ","defaults to *right* when `orientation` if *h*.","Note that the title's location used to be set","by the now deprecated `titleside` attribute."].join(" ")}},_deprecated:{title:{valType:"string",description:["Deprecated in favor of color bar's `title.text`.","Note that value of color bar's `title` is no longer a simple","*string* but a set of sub-attributes."].join(" ")},titlefont:i({description:"Deprecated in favor of color bar's `title.font`."}),titleside:{valType:"enumerated",values:["right","top","bottom"],dflt:"top",description:"Deprecated in favor of color bar's `title.side`."}}},"colorbars","from-root")},85503:e=>{"use strict";e.exports={cn:{colorbar:"colorbar",cbbg:"cbbg",cbfill:"cbfill",cbfills:"cbfills",cbline:"cbline",cblines:"cblines",cbaxis:"cbaxis",cbtitleunshift:"cbtitleunshift",cbtitle:"cbtitle",cboutline:"cboutline",crisp:"crisp",jsPlaceholder:"js-placeholder"}}},73346:(e,t,n)=>{"use strict";var r=n(14932),i=n(60131),a=n(77276),o=n(62862),s=n(63769),l=n(22103),c=n(99765);e.exports=function(e,t,n){var u=i.newContainer(t,"colorbar"),f=e.colorbar||{};function d(e,t){return r.coerce(f,u,c,e,t)}var h=n.margin||{t:0,b:0,l:0,r:0},p=n.width-h.l-h.r,m=n.height-h.t-h.b,g="v"===d("orientation"),v=d("thicknessmode");d("thickness","fraction"===v?30/(g?p:m):30);var y=d("lenmode");d("len","fraction"===y?1:g?m:p);var b,x,_,A="paper"===d("yref"),w="paper"===d("xref"),k="left";g?(_="middle",k=w?"left":"right",b=w?1.02:1,x=.5):(_=A?"bottom":"top",k="center",b=.5,x=A?1.02:1),r.coerce(f,u,{x:{valType:"number",min:w?-2:0,max:w?3:1,dflt:b}},"x"),r.coerce(f,u,{y:{valType:"number",min:A?-2:0,max:A?3:1,dflt:x}},"y"),d("xanchor",k),d("xpad"),d("yanchor",_),d("ypad"),r.noneOrAll(f,u,["x","y"]),d("outlinecolor"),d("outlinewidth"),d("bordercolor"),d("borderwidth"),d("bgcolor");var E=r.coerce(f,u,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:g?["outside","inside","outside top","inside top","outside bottom","inside bottom"]:["outside","inside","outside left","inside left","outside right","inside right"]}},"ticklabelposition");d("ticklabeloverflow",-1!==E.indexOf("inside")?"hide past domain":"hide past div"),a(f,u,d,"linear");var T=n.font,M={noAutotickangles:!0,outerTicks:!1,font:T};-1!==E.indexOf("inside")&&(M.bgColor="black"),l(f,u,d,"linear",M),s(f,u,d,"linear",M),o(f,u,d,"linear",M),d("title.text",n._dfltTitle.colorbar);var S=u.showticklabels?u.tickfont:T,O=r.extendFlat({},S,{color:T.color,size:r.bigFont(S.size)});r.coerceFont(d,"title.font",O),d("title.side",g?"top":"right")}},93062:(e,t,n)=>{"use strict";var r=n(90607),i=n(21176),a=n(50207),o=n(25529),s=n(70465),l=n(53700),c=n(14932),u=c.strTranslate,f=n(62134).extendFlat,d=n(30158),h=n(12228),p=n(39906),m=n(34149),g=n(13256),v=n(17148).flipScale,y=n(35466),b=n(92656),x=n(91800),_=n(8007),A=_.LINE_SPACING,w=_.FROM_TL,k=_.FROM_BR,E=n(85503).cn;e.exports={draw:function(e){var t=e._fullLayout._infolayer.selectAll("g."+E.colorbar).data(function(e){var t,n,r,i,a=e._fullLayout,o=e.calcdata,s=[];function l(e){return f(e,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){"function"==typeof i.calc?i.calc(e,r,t):(t._fillgradient=n.reversescale?v(n.colorscale):n.colorscale,t._zrange=[n[i.min],n[i.max]])}for(var u=0;u<o.length;u++){var d=o[u];if((r=d[0].trace)._module){var h=r._module.colorbar;if(!0===r.visible&&h)for(var p=Array.isArray(h),m=p?h:[h],g=0;g<m.length;g++){var y=(i=m[g]).container;(n=y?r[y]:r)&&n.showscale&&((t=l(n.colorbar))._id="cb"+r.uid+(p&&y?"-"+y:""),t._traceIndex=r.index,t._propPrefix=(y?y+".":"")+"colorbar.",t._meta=r._meta,c(),s.push(t))}}}for(var b in a._colorAxes)if((n=a[b]).showscale){var x=a._colorAxes[b];(t=l(n.colorbar))._id="cb"+b,t._propPrefix=b+".colorbar.",t._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==x[0]&&(r=x[1],i.calc=r._module.colorbar.calc),c(),s.push(t)}return s}(e),(function(e){return e._id}));t.enter().append("g").attr("class",(function(e){return e._id})).classed(E.colorbar,!0),t.each((function(t){var n=r.select(this);c.ensureSingle(n,"rect",E.cbbg),c.ensureSingle(n,"g",E.cbfills),c.ensureSingle(n,"g",E.cblines),c.ensureSingle(n,"g",E.cbaxis,(function(e){e.classed(E.crisp,!0)})),c.ensureSingle(n,"g",E.cbtitleunshift,(function(e){e.append("g").classed(E.cbtitle,!0)})),c.ensureSingle(n,"rect",E.cboutline);var v=function(e,t,n){var o="v"===t.orientation,l=t.len,d=t.lenmode,v=t.thickness,_=t.thicknessmode,T=t.outlinewidth,M=t.borderwidth,S=t.bgcolor,O=t.xanchor,C=t.yanchor,N=t.xpad,R=t.ypad,L=t.x,P=o?t.y:1-t.y,D="paper"===t.yref,I="paper"===t.xref,j=n._fullLayout,F=j._size,z=t._fillcolor,B=t._line,U=t.title,$=U.side,H=t._zrange||r.extent(("function"==typeof z?z:B.color).domain()),q="function"==typeof B.color?B.color:function(){return B.color},V="function"==typeof z?z:function(){return z},W=t._levels,G=function(e,t,n){var r,i,a=t._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*n[0]-.001*n[1],f=1.001*n[1]-.001*n[0];for(i=0;i<1e5&&(r=a.start+i*c,!(c>0?r>=l:r<=l));i++)r>u&&r<f&&o.push(r);if(t._fillgradient)s=[0];else if("function"==typeof t._fillcolor){var d=t._filllevels;if(d)for(l=d.end+d.size/100,c=d.size,i=0;i<1e5&&(r=d.start+i*c,!(c>0?r>=l:r<=l));i++)r>n[0]&&r<n[1]&&s.push(r);else(s=o.map((function(e){return e-a.size/2}))).push(s[s.length-1]+a.size)}else t._fillcolor&&"string"==typeof t._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,t,H),Y=G.fill,X=G.line,K=Math.round(v*("fraction"===_?o?F.w:F.h:1)),Z=K/(o?F.w:F.h),J=Math.round(l*("fraction"===d?o?F.h:F.w:1)),Q=J/(o?F.h:F.w),ee=I?F.w:n._fullLayout.width,te=D?F.h:n._fullLayout.height,ne=Math.round(o?L*ee+N:P*te+R),re={center:.5,right:1}[O]||0,ie={top:1,middle:.5}[C]||0,ae=o?L-re*Z:P-ie*Z,oe=o?P-ie*Q:L-re*Q,se=Math.round(o?te*(1-oe):ee*oe);t._lenFrac=Q,t._thickFrac=Z,t._uFrac=ae,t._vFrac=oe;var le=t._axis=function(e,t,n){var r=e._fullLayout,i="v"===t.orientation,a={type:"linear",range:n,tickmode:t.tickmode,nticks:t.nticks,tick0:t.tick0,dtick:t.dtick,tickvals:t.tickvals,ticktext:t.ticktext,ticks:t.ticks,ticklen:t.ticklen,tickwidth:t.tickwidth,tickcolor:t.tickcolor,showticklabels:t.showticklabels,labelalias:t.labelalias,ticklabelposition:t.ticklabelposition,ticklabeloverflow:t.ticklabeloverflow,ticklabelstep:t.ticklabelstep,tickfont:t.tickfont,tickangle:t.tickangle,tickformat:t.tickformat,exponentformat:t.exponentformat,minexponent:t.minexponent,separatethousands:t.separatethousands,showexponent:t.showexponent,showtickprefix:t.showtickprefix,tickprefix:t.tickprefix,showticksuffix:t.showticksuffix,ticksuffix:t.ticksuffix,title:t.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+t._id},l={letter:o,font:r.font,noAutotickangles:"y"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:r.calendar};function 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a={propContainer:le,propName:t._propPrefix+"title",traceIndex:t._traceIndex,_meta:t._meta,placeholder:j._dfltTitle.colorbar,containerGroup:e.select("."+E.cbtitle)},o="h"===r.charAt(0)?r.substr(1):"h"+r;e.selectAll("."+o+",."+o+"-math-group").remove(),m.draw(n,r,f(a,i||{}))}function Ae(){var e,t;(o&&ce||!o&&!ce)&&("top"===$&&(e=N+F.l+ee*L,t=R+F.t+te*(1-oe-Q)+3+.75*ve),"bottom"===$&&(e=N+F.l+ee*L,t=R+F.t+te*(1-oe)-3-.25*ve),"right"===$&&(t=R+F.t+te*P+3+.75*ve,e=N+F.l+ee*oe),_e(le._id+"title",{attributes:{x:e,y:t,"text-anchor":o?"start":"middle"}}))}function we(){if(o&&!ce||!o&&ce){var e,i,a=le.position||0,s=le._offset+le._length/2;if("right"===$)i=s,e=F.l+ee*a+10+ve*(le.showticklabels?1:.5);else if(e=s,"bottom"===$&&(i=F.t+te*a+10+(-1===ge.indexOf("inside")?le.tickfont.size:0)+("intside"!==le.ticks&&t.ticklen||0)),"top"===$){var 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te={},ae=w[O],oe=k[O],ue=w[C],fe=k[C],de=x-K;o?("pixels"===d?(te.y=P,te.t=J*ue,te.b=J*fe):(te.t=te.b=0,te.yt=P+l*ue,te.yb=P-l*fe),"pixels"===_?(te.x=L,te.l=x*ae,te.r=x*oe):(te.l=de*ae,te.r=de*oe,te.xl=L-v*ae,te.xr=L+v*oe)):("pixels"===d?(te.x=L,te.l=J*ae,te.r=J*oe):(te.l=te.r=0,te.xl=L+l*ae,te.xr=L-l*oe),"pixels"===_?(te.y=1-P,te.t=x*ue,te.b=x*fe):(te.t=de*ue,te.b=de*fe,te.yt=P-v*ue,te.yb=P+v*fe));var he=t.y<.5?"b":"t",xe=t.x<.5?"l":"r";n._fullLayout._reservedMargin[t._id]={};var _e={r:j.width-B-V,l:B+te.r,b:j.height-H-W,t:H+te.b};I&&D?a.autoMargin(n,t._id,te):I?n._fullLayout._reservedMargin[t._id][he]=_e[he]:D||o?n._fullLayout._reservedMargin[t._id][xe]=_e[xe]:n._fullLayout._reservedMargin[t._id][he]=_e[he]}return c.syncOrAsync([a.previousPromises,Ae,ke,we,a.previousPromises,Ee],n)}(n,t,e);v&&v.then&&(e._promises||[]).push(v),e._context.edits.colorbarPosition&&function(e,t,n){var r,i,a,s="v"===t.orientation,c=n._fullLayout,f=c._size;l.init({element:e.node(),gd:n,prepFn:function(){r=e.attr("transform"),d(e)},moveFn:function(n,o){e.attr("transform",r+u(n,o)),i=l.align((s?t._uFrac:t._vFrac)+n/f.w,s?t._thickFrac:t._lenFrac,0,1,t.xanchor),a=l.align((s?t._vFrac:1-t._uFrac)-o/f.h,s?t._lenFrac:t._thickFrac,0,1,t.yanchor);var c=l.getCursor(i,a,t.xanchor,t.yanchor);d(e,c)},doneFn:function(){if(d(e),void 0!==i&&void 0!==a){var r={};r[t._propPrefix+"x"]=i,r[t._propPrefix+"y"]=a,void 0!==t._traceIndex?o.call("_guiRestyle",n,r,t._traceIndex):o.call("_guiRelayout",n,r)}}})}(n,t,e)})),t.exit().each((function(t){a.autoMargin(e,t._id)})).remove(),t.order()}}},40761:(e,t,n)=>{"use strict";var r=n(14932);e.exports=function(e){return r.isPlainObject(e.colorbar)}},46926:(e,t,n)=>{"use strict";e.exports={moduleType:"component",name:"colorbar",attributes:n(99765),supplyDefaults:n(73346),draw:n(93062).draw,hasColorbar:n(40761)}},80716:(e,t,n)=>{"use strict";var r=n(99765),i=n(63323).counter,a=n(51061),o=n(74202).scales,s=a(o);function l(e){return"`"+e+"`"}e.exports=function(e,t){e=e||"";var n,a,c=(t=t||{}).cLetter||"c",u="onlyIfNumerical"in t?t.onlyIfNumerical:Boolean(e),f="noScale"in t?t.noScale:"marker.line"===e,d="showScaleDflt"in t?t.showScaleDflt:"z"===c,h="string"==typeof t.colorscaleDflt?o[t.colorscaleDflt]:null,p=t.editTypeOverride||"",m=e?e+".":"";"colorAttr"in t?(n=t.colorAttr,a=t.colorAttr):a="in "+l(m+(n={z:"z",c:"color"}[c]));var g=u?" 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s.error_z.copy_zstyle,e.exports={moduleType:"component",name:"errorbars",schema:{traces:{scatter:o,bar:o,histogram:o,scatter3d:i(s,"calc","nested"),scattergl:i(o,"calc","nested")}},supplyDefaults:n(20022),calc:n(87925),makeComputeError:n(82758),plot:n(99131),style:n(22411),hoverInfo:function(e,t,n){(t.error_y||{}).visible&&(n.yerr=e.yh-e.y,t.error_y.symmetric||(n.yerrneg=e.y-e.ys));(t.error_x||{}).visible&&(n.xerr=e.xh-e.x,t.error_x.symmetric||(n.xerrneg=e.x-e.xs))}}},99131:(e,t,n)=>{"use strict";var r=n(90607),i=n(2964),a=n(12228),o=n(36483);e.exports=function(e,t,n,s){var l=n.xaxis,c=n.yaxis,u=s&&s.duration>0,f=e._context.staticPlot;t.each((function(t){var d,h=t[0].trace,p=h.error_x||{},m=h.error_y||{};h.ids&&(d=function(e){return e.id});var g=o.hasMarkers(h)&&h.marker.maxdisplayed>0;m.visible||p.visible||(t=[]);var v=r.select(this).selectAll("g.errorbar").data(t,d);if(v.exit().remove(),t.length){p.visible||v.selectAll("path.xerror").remove(),m.visible||v.selectAll("path.yerror").remove(),v.style("opacity",1);var y=v.enter().append("g").classed("errorbar",!0);u&&y.style("opacity",0).transition().duration(s.duration).style("opacity",1),a.setClipUrl(v,n.layerClipId,e),v.each((function(e){var t=r.select(this),n=function(e,t,n){var r={x:t.c2p(e.x),y:n.c2p(e.y)};void 0!==e.yh&&(r.yh=n.c2p(e.yh),r.ys=n.c2p(e.ys),i(r.ys)||(r.noYS=!0,r.ys=n.c2p(e.ys,!0)));void 0!==e.xh&&(r.xh=t.c2p(e.xh),r.xs=t.c2p(e.xs),i(r.xs)||(r.noXS=!0,r.xs=t.c2p(e.xs,!0)));return r}(e,l,c);if(!g||e.vis){var a,o=t.select("path.yerror");if(m.visible&&i(n.x)&&i(n.yh)&&i(n.ys)){var d=m.width;a="M"+(n.x-d)+","+n.yh+"h"+2*d+"m-"+d+",0V"+n.ys,n.noYS||(a+="m-"+d+",0h"+2*d),!o.size()?o=t.append("path").style("vector-effect",f?"none":"non-scaling-stroke").classed("yerror",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr("d",a)}else o.remove();var h=t.select("path.xerror");if(p.visible&&i(n.y)&&i(n.xh)&&i(n.xs)){var v=(p.copy_ystyle?m:p).width;a="M"+n.xh+","+(n.y-v)+"v"+2*v+"m0,-"+v+"H"+n.xs,n.noXS||(a+="m0,-"+v+"v"+2*v),!h.size()?h=t.append("path").style("vector-effect",f?"none":"non-scaling-stroke").classed("xerror",!0):u&&(h=h.transition().duration(s.duration).ease(s.easing)),h.attr("d",a)}else h.remove()}}))}}))}},22411:(e,t,n)=>{"use strict";var r=n(90607),i=n(39906);e.exports=function(e){e.each((function(e){var t=e[0].trace,n=t.error_y||{},a=t.error_x||{},o=r.select(this);o.selectAll("path.yerror").style("stroke-width",n.thickness+"px").call(i.stroke,n.color),a.copy_ystyle&&(a=n),o.selectAll("path.xerror").style("stroke-width",a.thickness+"px").call(i.stroke,a.color)}))}},97823:(e,t,n)=>{"use strict";var r=n(45436),i=n(74454).hoverlabel,a=n(62134).extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0,description:"Sets the background color of the hover labels for this trace"}),bordercolor:a({},i.bordercolor,{arrayOk:!0,description:"Sets the border color of the hover labels for this trace."}),font:r({arrayOk:!0,editType:"none",description:"Sets the font used in hover labels."}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:"none"}}},45375:(e,t,n)=>{"use strict";var r=n(14932),i=n(25529);function a(e,t,n,i){i=i||r.identity,Array.isArray(e)&&(t[0][n]=i(e))}e.exports=function(e){var t=e.calcdata,n=e._fullLayout;function o(e){return function(t){return r.coerceHoverinfo({hoverinfo:t},{_module:e._module},n)}}for(var s=0;s<t.length;s++){var l=t[s],c=l[0].trace;if(!i.traceIs(c,"pie-like")){var u=i.traceIs(c,"2dMap")?a:r.fillArray;u(c.hoverinfo,l,"hi",o(c)),c.hovertemplate&&u(c.hovertemplate,l,"ht"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,"hbg"),u(c.hoverlabel.bordercolor,l,"hbc"),u(c.hoverlabel.font.size,l,"hts"),u(c.hoverlabel.font.color,l,"htc"),u(c.hoverlabel.font.family,l,"htf"),u(c.hoverlabel.namelength,l,"hnl"),u(c.hoverlabel.align,l,"hta"))}}}},91488:(e,t,n)=>{"use strict";var r=n(25529),i=n(61266).hover;e.exports=function(e,t,n){var a=r.getComponentMethod("annotations","onClick")(e,e._hoverdata);function o(){e.emit("plotly_click",{points:e._hoverdata,event:t})}void 0!==n&&i(e,t,n,!0),e._hoverdata&&t&&t.target&&(a&&a.then?a.then(o):o(),t.stopImmediatePropagation&&t.stopImmediatePropagation())}},58297:e=>{"use strict";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:"Arial, sans-serif",HOVERMINTIME:50,HOVERID:"-hover"}},4568:(e,t,n)=>{"use strict";var r=n(14932),i=n(97823),a=n(63075);e.exports=function(e,t,n,o){var s=r.extendFlat({},o.hoverlabel);t.hovertemplate&&(s.namelength=-1),a(e,t,(function(n,a){return r.coerce(e,t,i,n,a)}),s)}},22081:(e,t,n)=>{"use strict";var r=n(14932);t.getSubplot=function(e){return e.subplot||e.xaxis+e.yaxis||e.geo},t.isTraceInSubplots=function(e,n){if("splom"===e.type){for(var r=e.xaxes||[],i=e.yaxes||[],a=0;a<r.length;a++)for(var o=0;o<i.length;o++)if(-1!==n.indexOf(r[a]+i[o]))return!0;return!1}return-1!==n.indexOf(t.getSubplot(e))},t.flat=function(e,t){for(var n=new Array(e.length),r=0;r<e.length;r++)n[r]=t;return n},t.p2c=function(e,t){for(var n=new Array(e.length),r=0;r<e.length;r++)n[r]=e[r].p2c(t);return n},t.getDistanceFunction=function(e,n,r,i){return"closest"===e?i||t.quadrature(n,r):"x"===e.charAt(0)?n:r},t.getClosest=function(e,t,n){if(!1!==n.index)n.index>=0&&n.index<e.length?n.distance=0:n.index=!1;else for(var r=0;r<e.length;r++){var i=t(e[r]);i<=n.distance&&(n.index=r,n.distance=i)}return n},t.inbox=function(e,t,n){return e*t<0||0===e?n:1/0},t.quadrature=function(e,t){return function(n){var r=e(n),i=t(n);return Math.sqrt(r*r+i*i)}},t.makeEventData=function(e,n,r){var i="index"in e?e.index:e.pointNumber,a={data:n._input,fullData:n,curveNumber:n.index,pointNumber:i};if(n._indexToPoints){var o=n._indexToPoints[i];1===o.length?a.pointIndex=o[0]:a.pointIndices=o}else a.pointIndex=i;return n._module.eventData?a=n._module.eventData(a,e,n,r,i):("xVal"in e?a.x=e.xVal:"x"in e&&(a.x=e.x),"yVal"in e?a.y=e.yVal:"y"in e&&(a.y=e.y),e.xa&&(a.xaxis=e.xa),e.ya&&(a.yaxis=e.ya),void 0!==e.zLabelVal&&(a.z=e.zLabelVal)),t.appendArrayPointValue(a,n,i),a},t.appendArrayPointValue=function(e,t,n){var i=t._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===e[c]){var u=o(r.nestedProperty(t,l).get(),n);void 0!==u&&(e[c]=u)}}},t.appendArrayMultiPointValues=function(e,t,n){var i=t._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===e[c]){for(var u=r.nestedProperty(t,l).get(),f=new Array(n.length),d=0;d<n.length;d++)f[d]=o(u,n[d]);e[c]=f}}};var i={ids:"id",locations:"location",labels:"label",values:"value","marker.colors":"color",parents:"parent"};function a(e){return i[e]||e}function o(e,t){return Array.isArray(t)?Array.isArray(e)&&Array.isArray(e[t[0]])?e[t[0]][t[1]]:void 0:e[t]}var s={x:!0,y:!0},l={"x unified":!0,"y unified":!0};t.isUnifiedHover=function(e){return"string"==typeof e&&!!l[e]},t.isXYhover=function(e){return"string"==typeof e&&!!s[e]}},61266:(e,t,n)=>{"use strict";var r=n(90607),i=n(2964),a=n(21176),o=n(14932),s=o.pushUnique,l=o.strTranslate,c=o.strRotate,u=n(48015),f=n(13256),d=n(86623),h=n(12228),p=n(39906),m=n(53700),g=n(70465),v=n(25529),y=n(22081),b=n(58297),x=n(12529),_=n(71705),A=b.YANGLE,w=Math.PI*A/180,k=1/Math.sin(w),E=Math.cos(w),T=Math.sin(w),M=b.HOVERARROWSIZE,S=b.HOVERTEXTPAD,O={box:!0,ohlc:!0,violin:!0,candlestick:!0},C={scatter:!0,scattergl:!0,splom:!0};function N(e,t){return e.distance-t.distance}function R(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:"",e.ya?e.ya._id:""].join(",")}t.hover=function(e,t,n,a){e=o.getGraphDiv(e);var l=t.target;o.throttle(e._fullLayout._uid+b.HOVERID,b.HOVERMINTIME,(function(){!function(e,t,n,a,l){n||(n="xy");var c,f,h,b=Array.isArray(n)?n:[n],x=e._fullLayout,_=x.hoversubplots,A=x._plots||[],w=A[n],E=x._has("cartesian"),T=t.hovermode||x.hovermode,S="x"===(T||"").charAt(0),L="y"===(T||"").charAt(0);if(E&&(S||L)&&"axis"===_)for(var 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ne,re,ie,ae,oe,se,le,ce,ue,fe,de,he,pe,me=[],ge=[],ve={hLinePoint:null,vLinePoint:null},ye=!1;if(Array.isArray(t))for(T="array",ie=0;ie<t.length;ie++)(oe=e.calcdata[t[ie].curveNumber||0])&&(se=oe[0].trace,"skip"!==oe[0].trace.hoverinfo&&(ge.push(oe),"h"===se.orientation&&(ye=!0)));else{var be,xe,_e=e.calcdata.slice();for(_e.sort((function(e,t){return(e[0].trace.zorder||0)-(t[0].trace.zorder||0)})),ae=0;ae<_e.length;ae++)oe=_e[ae],"skip"!==(se=oe[0].trace).hoverinfo&&y.isTraceInSubplots(se,b)&&(ge.push(oe),"h"===se.orientation&&(ye=!0));if(!l)be="xpx"in t?t.xpx:X[0]._length/2,xe="ypx"in t?t.ypx:K[0]._length/2;else{if(!1===u.triggerHandler(e,"plotly_beforehover",t))return;var Ae=l.getBoundingClientRect();be=t.clientX-Ae.left,xe=t.clientY-Ae.top,x._calcInverseTransform(e);var we=o.apply3DTransform(x._invTransform)(be,xe);if(be=we[0],xe=we[1],be<0||be>X[0]._length||xe<0||xe>K[0]._length)return m.unhoverRaw(e,t)}if(t.pointerX=be+X[0]._offset,t.pointerY=xe+K[0]._offset,ne="xval"in 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g=m[0];i(g.x0)&&i(g.y0)&&(f=Me(g),(!ve.hLinePoint||ve.hLinePoint.spikeDistance>f.spikeDistance)&&(ve.hLinePoint=f))}}}}}function Te(e,t,n){for(var r,i=null,a=1/0,o=0;o<e.length;o++)f&&f._id!==e[o].xa._id||h&&h._id!==e[o].ya._id||(r=e[o].spikeDistance,n&&0===o&&(r=-1/0),r<=a&&r<=t&&(i=e[o],a=r));return i}function Me(e){return e?{xa:e.xa,ya:e.ya,x:void 0!==e.xSpike?e.xSpike:(e.x0+e.x1)/2,y:void 0!==e.ySpike?e.ySpike:(e.y0+e.y1)/2,distance:e.distance,spikeDistance:e.spikeDistance,curveNumber:e.trace.index,color:e.color,pointNumber:e.index}:null}Ee();var Se={fullLayout:x,container:x._hoverlayer,event:t},Oe=e._spikepoints,Ce={vLinePoint:ve.vLinePoint,hLinePoint:ve.hLinePoint};e._spikepoints=Ce;var Ne=function(){var e=me.filter((function(e){return f&&f._id===e.xa._id&&h&&h._id===e.ya._id})),t=me.filter((function(e){return!(f&&f._id===e.xa._id&&h&&h._id===e.ya._id)}));e.sort(N),t.sort(N),me=function(e,t){for(var n=t.charAt(0),r=[],i=[],a=[],o=0;o<e.length;o++){var 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at="y"===T&&(ge.length>1||me.length>1)||"closest"===T&&ye&&me.length>1,ot=p.combine(x.plot_bgcolor||p.background,x.paper_bgcolor),st=P(me,{gd:e,hovermode:T,rotateLabels:at,bgColor:ot,container:x._hoverlayer,outerContainer:x._paper.node(),commonLabelOpts:x.hoverlabel,hoverdistance:x.hoverdistance}),lt=st.hoverLabels;y.isUnifiedHover(T)||(!function(e,t,n,r){var i,a,o,s,l,c,u,f=t?"xa":"ya",d=t?"ya":"xa",h=0,p=1,m=e.size(),g=new Array(m),v=0,y=r.minX,b=r.maxX,x=r.minY,_=r.maxY,A=function(e){return e*n._invScaleX},w=function(e){return e*n._invScaleY};function E(e){var t=e[0],n=e[e.length-1];if(a=t.pmin-t.pos-t.dp+t.size,o=n.pos+n.dp+n.size-t.pmax,a>.01){for(l=e.length-1;l>=0;l--)e[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=e.length-1;l>=0;l--)e[l].dp-=o;i=!1}if(i){var r=0;for(s=0;s<e.length;s++)(c=e[s]).pos+c.dp+c.size>t.pmax&&r++;for(s=e.length-1;s>=0&&!(r<=0);s--)(c=e[s]).pos>t.pmax-1&&(c.del=!0,r--);for(s=0;s<e.length&&!(r<=0);s++)if((c=e[s]).pos<t.pmin+1)for(c.del=!0,r--,o=2*c.size,l=e.length-1;l>=0;l--)e[l].dp-=o;for(s=e.length-1;s>=0&&!(r<=0);s--)(c=e[s]).pos+c.dp+c.size>t.pmax&&(c.del=!0,r--)}}}e.each((function(e){var r=e[f],i=e[d],a="x"===r._id.charAt(0),o=r.range;0===v&&o&&o[0]>o[1]!==a&&(p=-1);var s=0,l=a?n.width:n.height;if("x"===n.hovermode||"y"===n.hovermode){var c,u,h=I(e,t),m=e.anchor,E="end"===m?-1:1;if("middle"===m)u=(c=e.crossPos+(a?w(h.y-e.by/2):A(e.bx/2+e.tx2width/2)))+(a?w(e.by):A(e.bx));else if(a)u=(c=e.crossPos+w(M+h.y)-w(e.by/2-M))+w(e.by);else{var T=A(E*M+h.x),S=T+A(E*e.bx);c=e.crossPos+Math.min(T,S),u=e.crossPos+Math.max(T,S)}a?void 0!==x&&void 0!==_&&Math.min(u,_)-Math.max(c,x)>1&&("left"===i.side?(s=i._mainLinePosition,l=n.width):l=i._mainLinePosition):void 0!==y&&void 0!==b&&Math.min(u,b)-Math.max(c,y)>1&&("top"===i.side?(s=i._mainLinePosition,l=n.height):l=i._mainLinePosition)}g[v++]=[{datum:e,traceIndex:e.trace.index,dp:0,pos:e.pos,posref:e.posref,size:e.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(e,t){return e[0].posref-t[0].posref||p*(t[0].traceIndex-e[0].traceIndex)}));for(;!i&&h<=m;){for(h++,i=!0,s=0;s<g.length-1;){var T=g[s],S=g[s+1],O=T[T.length-1],C=S[0];if((a=O.pos+O.dp+O.size-C.pos-C.dp+C.size)>.01&&O.pmin===C.pmin&&O.pmax===C.pmax){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(T.push.apply(T,S),g.splice(s+1,1),u=0,l=T.length-1;l>=0;l--)u+=T[l].dp;for(o=u/T.length,l=T.length-1;l>=0;l--)T[l].dp-=o;i=!1}else s++}g.forEach(E)}for(s=g.length-1;s>=0;s--){var N=g[s];for(l=N.length-1;l>=0;l--){var R=N[l],L=R.datum;L.offset=R.dp,L.del=R.del}}}(lt,at,x,st.commonLabelBoundingBox),j(lt,at,x._invScaleX,x._invScaleY));if(l&&l.tagName){var ct=v.getComponentMethod("annotations","hasClickToShow")(e,Ve);d(r.select(l),ct?"pointer":"")}if(!l||a||!function(e,t,n){if(!n||n.length!==e._hoverdata.length)return!0;for(var r=n.length-1;r>=0;r--){var i=n[r],a=e._hoverdata[r];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(e,0,qe))return;qe&&e.emit("plotly_unhover",{event:t,points:qe});e.emit("plotly_hover",{event:t,points:e._hoverdata,xaxes:X,yaxes:K,xvals:ne,yvals:re})}(e,t,n,a,l)}))},t.loneHover=function(e,t){var n=!0;Array.isArray(e)||(n=!1,e=[e]);var i=t.gd,a=H(i),o=q(i),s=!1,l=P(e.map((function(e){var n=e._x0||e.x0||e.x||0,r=e._x1||e.x1||e.x||0,s=e._y0||e.y0||e.y||0,l=e._y1||e.y1||e.y||0,c=e.eventData;if(c){var u=Math.min(n,r),f=Math.max(n,r),d=Math.min(s,l),h=Math.max(s,l),m=e.trace;if(v.traceIs(m,"gl3d")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,b=g.offsetTop;u+=y,f+=y,d+=b,h+=b}c.bbox={x0:u+o,x1:f+o,y0:d+a,y1:h+a},t.inOut_bbox&&t.inOut_bbox.push(c.bbox)}else c=!1;return{color:e.color||p.defaultLine,x0:e.x0||e.x||0,x1:e.x1||e.x||0,y0:e.y0||e.y||0,y1:e.y1||e.y||0,xLabel:e.xLabel,yLabel:e.yLabel,zLabel:e.zLabel,text:e.text,name:e.name,idealAlign:e.idealAlign,borderColor:e.borderColor,fontFamily:e.fontFamily,fontSize:e.fontSize,fontColor:e.fontColor,nameLength:e.nameLength,textAlign:e.textAlign,trace:e.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:e.hovertemplate||!1,hovertemplateLabels:e.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:"closest",rotateLabels:s,bgColor:t.bgColor||p.background,container:r.select(t.container),outerContainer:t.outerContainer||t.container}).hoverLabels,c=0,u=0;return l.sort((function(e,t){return e.y0-t.y0})).each((function(e,n){var r=e.y0-e.by/2;e.offset=r-5<c?c-r+5:0,c=r+e.by+e.offset,n===t.anchorIndex&&(u=e.offset)})).each((function(e){e.offset-=u})),j(l,s,i._fullLayout._invScaleX,i._fullLayout._invScaleY),n?l:l.node()};var L=/<extra>([\s\S]*)<\/extra>/;function P(e,t){var n=t.gd,i=n._fullLayout,a=t.hovermode,s=t.rotateLabels,u=t.bgColor,d=t.container,m=t.outerContainer,g=t.commonLabelOpts||{};if(0===e.length)return[[]];var w=t.fontFamily||b.HOVERFONT,k=t.fontSize||b.HOVERFONTSIZE,E=e[0],T=E.xa,O=E.ya,C=a.charAt(0),N=C+"Label",L=E[N];if(void 0===L&&"multicategory"===T.type)for(var P=0;P<e.length&&void 0===(L=e[P][N]);P++);var I=V(n,m),j=I.top,F=I.width,z=I.height,B=void 0!==L&&E.distance<=t.hoverdistance&&("x"===a||"y"===a);if(B){var U,$,H=!0;for(U=0;U<e.length;U++)if(H&&void 0===e[U].zLabel&&(H=!1),$=e[U].hoverinfo||e[U].trace.hoverinfo){var q=Array.isArray($)?$:$.split("+");if(-1===q.indexOf("all")&&-1===q.indexOf(a)){B=!1;break}}H&&(B=!1)}var 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ae=te.cd[te.index];ae&&(ae.mc&&(te.mc=ae.mc),ae.mcc&&(te.mc=ae.mcc),ae.mlc&&(te.mlc=ae.mlc),ae.mlcc&&(te.mlc=ae.mlcc),ae.mlw&&(te.mlw=ae.mlw),ae.mrc&&(te.mrc=ae.mrc),ae.dir&&(te.dir=ae.dir)),te._distinct=!0,Q.entries.push([te])}}Q.entries.sort((function(e,t){return e[0].trace.index-t[0].trace.index})),Q.layer=d,Q._inHover=!0,Q._groupTitleFont=X.grouptitlefont,_(n,Q);var oe,se,le,ce,ue=d.select("g.legend"),fe=V(n,ue.node()),de=fe.width+2*S,he=fe.height+2*S,pe=Y[0],me=(pe.x0+pe.x1)/2,ge=(pe.y0+pe.y1)/2,ve=!(v.traceIs(pe.trace,"bar-like")||v.traceIs(pe.trace,"box-violin"));"y"===C?ve?(se=ge-S,oe=ge+S):(se=Math.min.apply(null,Y.map((function(e){return Math.min(e.y0,e.y1)}))),oe=Math.max.apply(null,Y.map((function(e){return Math.max(e.y0,e.y1)})))):se=oe=o.mean(Y.map((function(e){return(e.y0+e.y1)/2})))-he/2,"x"===C?ve?(le=me+S,ce=me-S):(le=Math.max.apply(null,Y.map((function(e){return Math.max(e.x0,e.x1)}))),ce=Math.min.apply(null,Y.map((function(e){return 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0===e.zLabel&&(e.zLabel=String(e.zLabelVal)),!(isNaN(e.xerr)||"log"===e.xa.type&&e.xerr<=0)){var f=g.tickText(e.xa,e.xa.c2l(e.xerr),"hover").text;void 0!==e.xerrneg?e.xLabel+=" +"+f+" / -"+g.tickText(e.xa,e.xa.c2l(e.xerrneg),"hover").text:e.xLabel+=" ± "+f,"x"===t&&(e.distance+=1)}if(!(isNaN(e.yerr)||"log"===e.ya.type&&e.yerr<=0)){var d=g.tickText(e.ya,e.ya.c2l(e.yerr),"hover").text;void 0!==e.yerrneg?e.yLabel+=" +"+d+" / -"+g.tickText(e.ya,e.ya.c2l(e.yerrneg),"hover").text:e.yLabel+=" ± "+d,"y"===t&&(e.distance+=1)}var h=e.hoverinfo||e.trace.hoverinfo;return h&&"all"!==h&&(-1===(h=Array.isArray(h)?h:h.split("+")).indexOf("x")&&(e.xLabel=void 0),-1===h.indexOf("y")&&(e.yLabel=void 0),-1===h.indexOf("z")&&(e.zLabel=void 0),-1===h.indexOf("text")&&(e.text=void 0),-1===h.indexOf("name")&&(e.name=void 0)),e}function z(e,t,n){var r,i,o=n.container,s=n.fullLayout,l=s._size,c=n.event,u=!!t.hLinePoint,f=!!t.vLinePoint;if(o.selectAll(".spikeline").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=t.hLinePoint;r=y&&y.xa,"cursor"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=r._offset+y.x,v=i._offset+y.y);var b,x,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,A=i.spikemode,w=i.spikethickness,k=i.spikecolor||_,E=g.getPxPosition(e,i);if(-1!==A.indexOf("toaxis")||-1!==A.indexOf("across")){if(-1!==A.indexOf("toaxis")&&(b=E,x=m),-1!==A.indexOf("across")){var T=i._counterDomainMin,M=i._counterDomainMax;"free"===i.anchor&&(T=Math.min(T,i.position),M=Math.max(M,i.position)),b=l.l+T*l.w,x=l.l+M*l.w}o.insert("line",":first-child").attr({x1:b,x2:x,y1:v,y2:v,"stroke-width":w,stroke:k,"stroke-dasharray":h.dashStyle(i.spikedash,w)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:b,x2:x,y1:v,y2:v,"stroke-width":w+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==A.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:E+("right"!==i.side?w:-w),cy:v,r:w,fill:k}).classed("spikeline",!0)}if(f){var S,O,C=t.vLinePoint;r=C&&C.xa,i=C&&C.ya,"cursor"===r.spikesnap?(S=c.pointerX,O=c.pointerY):(S=r._offset+C.x,O=i._offset+C.y);var N,R,L=a.readability(C.color,d)<1.5?p.contrast(d):C.color,P=r.spikemode,D=r.spikethickness,I=r.spikecolor||L,j=g.getPxPosition(e,r);if(-1!==P.indexOf("toaxis")||-1!==P.indexOf("across")){if(-1!==P.indexOf("toaxis")&&(N=j,R=O),-1!==P.indexOf("across")){var F=r._counterDomainMin,z=r._counterDomainMax;"free"===r.anchor&&(F=Math.min(F,r.position),z=Math.max(z,r.position)),N=l.t+(1-z)*l.h,R=l.t+(1-F)*l.h}o.insert("line",":first-child").attr({x1:S,x2:S,y1:N,y2:R,"stroke-width":D,stroke:I,"stroke-dasharray":h.dashStyle(r.spikedash,D)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:S,x2:S,y1:N,y2:R,"stroke-width":D+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==P.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:S,cy:j-("top"!==r.side?D:-D),r:D,fill:I}).classed("spikeline",!0)}}}function B(e,t){return!t||(t.vLinePoint!==e._spikepoints.vLinePoint||t.hLinePoint!==e._spikepoints.hLinePoint)}function U(e,t){return f.plainText(e||"",{len:t,allowedTags:["br","sub","sup","b","i","em"]})}function $(e,t,n){var r=t[e+"a"],i=t[e+"Val"],a=t.cd[0];if("category"===r.type||"multicategory"===r.type)i=r._categoriesMap[i];else if("date"===r.type){var o=t.trace[e+"periodalignment"];if(o){var s=t.cd[t.index],l=s[e+"Start"];void 0===l&&(l=s[e]);var c=s[e+"End"];void 0===c&&(c=s[e]);var u=c-l;"end"===o?i+=u:"middle"===o&&(i+=u/2)}i=r.d2c(i)}return a&&a.t&&a.t.posLetter===r._id&&("group"!==n.boxmode&&"group"!==n.violinmode||(i+=a.t.dPos)),i}function H(e){return e.offsetTop+e.clientTop}function q(e){return e.offsetLeft+e.clientLeft}function V(e,t){var n=e._fullLayout,r=t.getBoundingClientRect(),i=r.left,a=r.top,s=i+r.width,l=a+r.height,c=o.apply3DTransform(n._invTransform)(i,a),u=o.apply3DTransform(n._invTransform)(s,l),f=c[0],d=c[1],h=u[0],p=u[1];return{x:f,y:d,width:h-f,height:p-d,top:Math.min(d,p),left:Math.min(f,h),right:Math.max(f,h),bottom:Math.max(d,p)}}},63075:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906),a=n(22081).isUnifiedHover;e.exports=function(e,t,n,o){o=o||{};var s=t.legend;function l(e){o.font[e]||(o.font[e]=s?t.legend.font[e]:t.font[e])}t&&a(t.hovermode)&&(o.font||(o.font={}),l("size"),l("family"),l("color"),s?(o.bgcolor||(o.bgcolor=i.combine(t.legend.bgcolor,t.paper_bgcolor)),o.bordercolor||(o.bordercolor=t.legend.bordercolor)):o.bgcolor||(o.bgcolor=t.paper_bgcolor)),n("hoverlabel.bgcolor",o.bgcolor),n("hoverlabel.bordercolor",o.bordercolor),n("hoverlabel.namelength",o.namelength),r.coerceFont(n,"hoverlabel.font",o.font),n("hoverlabel.align",o.align)}},19854:(e,t,n)=>{"use strict";var r=n(14932),i=n(74454);e.exports=function(e,t){function n(n,a){return void 0!==t[n]?t[n]:r.coerce(e,t,i,n,a)}return n("clickmode"),n("hoversubplots"),n("hovermode")}},37940:(e,t,n)=>{"use strict";var r=n(90607),i=n(14932),a=n(53700),o=n(22081),s=n(74454),l=n(61266);e.exports={moduleType:"component",name:"fx",constants:n(58297),schema:{layout:s},attributes:n(97823),layoutAttributes:s,supplyLayoutGlobalDefaults:n(905),supplyDefaults:n(4568),supplyLayoutDefaults:n(48129),calc:n(45375),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(e,t,n){return i.castOption(e,t,"hoverlabel."+n)},castHoverinfo:function(e,t,n){return i.castOption(e,n,"hoverinfo",(function(n){return i.coerceHoverinfo({hoverinfo:n},{_module:e._module},t)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(e){var t=i.isD3Selection(e)?e:r.select(e);t.selectAll("g.hovertext").remove(),t.selectAll(".spikeline").remove()},click:n(91488)}},74454:(e,t,n)=>{"use strict";var r=n(58297),i=n(45436),a=i({editType:"none",description:"Sets the default hover label font used by all traces on the graph."});a.family.dflt=r.HOVERFONT,a.size.dflt=r.HOVERFONTSIZE,e.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"],description:["Determines the mode of single click interactions.","*event* is the default value and emits the `plotly_click`","event. In addition this mode emits the `plotly_selected` event","in drag modes *lasso* and *select*, but with no event data attached","(kept for compatibility reasons).","The *select* flag enables selecting single","data points via click. This mode also supports persistent selections,","meaning that pressing Shift while clicking, adds to / subtracts from an","existing selection. *select* with `hovermode`: *x* can be confusing, consider","explicitly setting `hovermode`: *closest* when using this feature.","Selection events are sent accordingly as long as *event* flag is set as well.","When the *event* flag is missing, `plotly_click` and `plotly_selected`","events are not fired."].join(" ")},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar",description:["Determines the mode of drag interactions.","*select* and *lasso* apply only to scatter traces with","markers or text. *orbit* and *turntable* apply only to","3D scenes."].join(" ")},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y unified"],dflt:"closest",editType:"modebar",description:["Determines the mode of hover interactions.","If *closest*, a single hoverlabel will appear","for the *closest* point within the `hoverdistance`.","If *x* (or *y*), multiple hoverlabels will appear for multiple points","at the *closest* x- (or y-) coordinate within the `hoverdistance`,","with the caveat that no more than one hoverlabel will appear per trace.","If *x unified* (or *y unified*), a single hoverlabel will appear","multiple points at the closest x- (or y-) coordinate within the `hoverdistance`","with the caveat that no more than one hoverlabel will appear per trace.","In this mode, spikelines are enabled by default perpendicular to the specified axis.","If false, hover interactions are disabled."].join(" ")},hoversubplots:{valType:"enumerated",values:["single","overlaying","axis"],dflt:"overlaying",editType:"none",description:["Determines expansion of hover effects to other subplots","If *single* just the axis pair of the primary point is included without overlaying subplots.","If *overlaying* all subplots using the main axis and occupying the same space are included.","If *axis*, also include stacked subplots using the same axis","when `hovermode` is set to *x*, *x unified*, *y* or *y unified*."].join(" ")},hoverdistance:{valType:"integer",min:-1,dflt:20,editType:"none",description:["Sets the default distance (in pixels) to look for data","to add hover labels (-1 means no cutoff, 0 means no looking for data).","This is only a real distance for hovering on point-like objects,","like scatter points. For area-like objects (bars, scatter fills, etc)","hovering is on inside the area and off outside, but these objects","will not supersede hover on point-like objects in case of conflict."].join(" ")},spikedistance:{valType:"integer",min:-1,dflt:-1,editType:"none",description:["Sets the default distance (in pixels) to look for data to draw","spikelines to (-1 means no cutoff, 0 means no looking for data).","As with hoverdistance, distance does not apply to area-like objects.","In addition, some objects can be hovered on but will not generate","spikelines, such as scatter fills."].join(" ")},hoverlabel:{bgcolor:{valType:"color",editType:"none",description:["Sets the background color of all hover labels on graph"].join(" ")},bordercolor:{valType:"color",editType:"none",description:["Sets the border color of all hover labels on graph."].join(" ")},font:a,grouptitlefont:i({editType:"none",description:["Sets the font for group titles in hover (unified modes).","Defaults to `hoverlabel.font`."].join(" ")}),align:{valType:"enumerated",values:["left","right","auto"],dflt:"auto",editType:"none",description:["Sets the horizontal alignment of the text content within hover label box.","Has an effect only if the hover label text spans more two or more lines"].join(" ")},namelength:{valType:"integer",min:-1,dflt:15,editType:"none",description:["Sets the default length (in number of characters) of the trace name in","the hover labels for all traces. -1 shows the whole name","regardless of length. 0-3 shows the first 0-3 characters, and","an integer >3 will show the whole name if it is less than that","many characters, but if it is longer, will truncate to","`namelength - 3` characters and add an ellipsis."].join(" ")},editType:"none"},selectdirection:{valType:"enumerated",values:["h","v","d","any"],dflt:"any",description:["When `dragmode` is set to *select*, this limits the selection of the drag to","horizontal, vertical or diagonal. *h* only allows horizontal selection,","*v* only vertical, *d* only diagonal and *any* sets no limit."].join(" "),editType:"none"}}},48129:(e,t,n)=>{"use strict";var r=n(14932),i=n(74454),a=n(19854),o=n(63075);e.exports=function(e,t){function n(n,a){return r.coerce(e,t,i,n,a)}a(e,t)&&(n("hoverdistance"),n("spikedistance")),"select"===n("dragmode")&&n("selectdirection");var s=t._has("mapbox"),l=t._has("geo"),c=t._basePlotModules.length;"zoom"===t.dragmode&&((s||l)&&1===c||s&&l&&2===c)&&(t.dragmode="pan"),o(e,t,n),r.coerceFont(n,"hoverlabel.grouptitlefont",t.hoverlabel.font)}},905:(e,t,n)=>{"use strict";var r=n(14932),i=n(63075),a=n(74454);e.exports=function(e,t){i(e,t,(function(n,i){return r.coerce(e,t,a,n,i)}))}},20902:(e,t,n)=>{"use strict";var r=n(14932),i=n(63323).counter,a=n(28039).u,o=n(98231).idRegex,s=n(60131),l={rows:{valType:"integer",min:1,editType:"plot",description:["The number of rows in the grid. If you provide a 2D `subplots`","array or a `yaxes` array, its length is used as the default.","But it's also possible to have a different length, if you","want to leave a row at the end for non-cartesian subplots."].join(" ")},roworder:{valType:"enumerated",values:["top to bottom","bottom to top"],dflt:"top to bottom",editType:"plot",description:["Is the first row the top or the bottom? Note that columns","are always enumerated from left to right."].join(" ")},columns:{valType:"integer",min:1,editType:"plot",description:["The number of columns in the grid. If you provide a 2D `subplots`","array, the length of its longest row is used as the default.","If you give an `xaxes` array, its length is used as the default.","But it's also possible to have a different length, if you","want to leave a row at the end for non-cartesian subplots."].join(" ")},subplots:{valType:"info_array",freeLength:!0,dimensions:2,items:{valType:"enumerated",values:[i("xy").toString(),""],editType:"plot"},editType:"plot",description:["Used for freeform grids, where some axes may be shared across subplots","but others are not. Each entry should be a cartesian subplot id, like","*xy* or *x3y2*, or ** to leave that cell empty. You may reuse x axes","within the same column, and y axes within the same row.","Non-cartesian subplots and traces that support `domain` can place themselves","in this grid separately using the `gridcell` attribute."].join(" ")},xaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.x.toString(),""],editType:"plot"},editType:"plot",description:["Used with `yaxes` when the x and y axes are shared across columns and rows.","Each entry should be an x axis id like *x*, *x2*, etc., or ** to","not put an x axis in that column. Entries other than ** must be unique.","Ignored if `subplots` is present. If missing but `yaxes` is present,","will generate consecutive IDs."].join(" ")},yaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.y.toString(),""],editType:"plot"},editType:"plot",description:["Used with `yaxes` when the x and y axes are shared across columns and rows.","Each entry should be an y axis id like *y*, *y2*, etc., or ** to","not put a y axis in that row. Entries other than ** must be unique.","Ignored if `subplots` is present. If missing but `xaxes` is present,","will generate consecutive IDs."].join(" ")},pattern:{valType:"enumerated",values:["independent","coupled"],dflt:"coupled",editType:"plot",description:["If no `subplots`, `xaxes`, or `yaxes` are given but we do have `rows` and `columns`,","we can generate defaults using consecutive axis IDs, in two ways:","*coupled* gives one x axis per column and one y axis per row.","*independent* uses a new xy pair for each cell, left-to-right across each row","then iterating rows according to `roworder`."].join(" ")},xgap:{valType:"number",min:0,max:1,editType:"plot",description:["Horizontal space between grid cells, expressed as a fraction","of the total width available to one cell. Defaults to 0.1","for coupled-axes grids and 0.2 for independent grids."].join(" ")},ygap:{valType:"number",min:0,max:1,editType:"plot",description:["Vertical space between grid cells, expressed as a fraction","of the total height available to one cell. Defaults to 0.1","for coupled-axes grids and 0.3 for independent grids."].join(" ")},domain:a({name:"grid",editType:"plot",noGridCell:!0},{description:["The first and last cells end exactly at the domain","edges, with no grout around the edges."].join(" ")}),xside:{valType:"enumerated",values:["bottom","bottom plot","top plot","top"],dflt:"bottom plot",editType:"plot",description:["Sets where the x axis labels and titles go. *bottom* means","the very bottom of the grid. *bottom plot* is the lowest plot","that each x axis is used in. *top* and *top plot* are similar."].join(" ")},yside:{valType:"enumerated",values:["left","left plot","right plot","right"],dflt:"left plot",editType:"plot",description:["Sets where the y axis labels and titles go. *left* means","the very left edge of the grid. *left plot* is the leftmost plot","that each y axis is used in. *right* and *right plot* are similar."].join(" ")},editType:"plot"};function c(e,t,n){var r=t[n+"axes"],i=Object.keys((e._splomAxes||{})[n]||{});return Array.isArray(r)?r:i.length?i:void 0}function u(e,t,n,r,i,a){var o=t(e+"gap",n),s=t("domain."+e);t(e+"side",r);for(var l=new Array(i),c=s[0],u=(s[1]-c)/(i-o),f=u*(1-o),d=0;d<i;d++){var h=c+u*d;l[a?i-1-d:d]=[h,h+f]}return l}function f(e,t,n,r,i){var a,o=new Array(n);function s(e,n){-1!==t.indexOf(n)&&void 0===r[n]?(o[e]=n,r[n]=e):o[e]=""}if(Array.isArray(e))for(a=0;a<n;a++)s(a,e[a]);else for(s(0,i),a=1;a<n;a++)s(a,i+(a+1));return o}e.exports={moduleType:"component",name:"grid",schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(e,t){var n=e.grid||{},i=c(t,n,"x"),a=c(t,n,"y");if(e.grid||i||a){var o,f,d=Array.isArray(n.subplots)&&Array.isArray(n.subplots[0]),h=Array.isArray(i),p=Array.isArray(a),m=h&&i!==n.xaxes&&p&&a!==n.yaxes;d?(o=n.subplots.length,f=n.subplots[0].length):(p&&(o=a.length),h&&(f=i.length));var g=s.newContainer(t,"grid"),v=k("rows",o),y=k("columns",f);if(v*y>1){if(!d&&!h&&!p)"independent"===k("pattern")&&(d=!0);g._hasSubplotGrid=d;var b,x,_="top to bottom"===k("roworder"),A=d?.2:.1,w=d?.3:.1;m&&t._splomGridDflt&&(b=t._splomGridDflt.xside,x=t._splomGridDflt.yside),g._domains={x:u("x",k,A,b,y),y:u("y",k,w,x,v,_)}}else delete t.grid}function k(e,t){return r.coerce(n,g,l,e,t)}},contentDefaults:function(e,t){var n=t.grid;if(n&&n._domains){var r,i,a,o,s,l,u,d=e.grid||{},h=t._subplots,p=n._hasSubplotGrid,m=n.rows,g=n.columns,v="independent"===n.pattern,y=n._axisMap={};if(p){var b=d.subplots||[];l=n.subplots=new Array(m);var x=1;for(r=0;r<m;r++){var _=l[r]=new Array(g),A=b[r]||[];for(i=0;i<g;i++)if(v?(s=1===x?"xy":"x"+x+"y"+x,x++):s=A[i],_[i]="",-1!==h.cartesian.indexOf(s)){if(u=s.indexOf("y"),a=s.slice(0,u),o=s.slice(u),void 0!==y[a]&&y[a]!==i||void 0!==y[o]&&y[o]!==r)continue;_[i]=s,y[a]=i,y[o]=r}}}else{var w=c(t,d,"x"),k=c(t,d,"y");n.xaxes=f(w,h.xaxis,g,y,"x"),n.yaxes=f(k,h.yaxis,m,y,"y")}var E=n._anchors={},T="top to bottom"===n.roworder;for(var M in y){var S,O,C,N=M.charAt(0),R=n[N+"side"];if(R.length<8)E[M]="free";else if("x"===N){if("t"===R.charAt(0)===T?(S=0,O=1,C=m):(S=m-1,O=-1,C=-1),p){var L=y[M];for(r=S;r!==C;r+=O)if((s=l[r][L])&&(u=s.indexOf("y"),s.slice(0,u)===M)){E[M]=s.slice(u);break}}else for(r=S;r!==C;r+=O)if(o=n.yaxes[r],-1!==h.cartesian.indexOf(M+o)){E[M]=o;break}}else if("l"===R.charAt(0)?(S=0,O=1,C=g):(S=g-1,O=-1,C=-1),p){var P=y[M];for(r=S;r!==C;r+=O)if((s=l[P][r])&&(u=s.indexOf("y"),s.slice(u)===M)){E[M]=s.slice(0,u);break}}else for(r=S;r!==C;r+=O)if(a=n.xaxes[r],-1!==h.cartesian.indexOf(a+M)){E[M]=a;break}}}}}},56015:(e,t,n)=>{"use strict";var r=n(98231),i=n(60131).templatedArray,a=n(47838);e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw",description:["Determines whether or not this image is visible."].join(" ")},source:{valType:"string",editType:"arraydraw",description:["Specifies the URL of the image to be used.","The URL must be accessible from the domain where the","plot code is run, and can be either relative or absolute."].join(" ")},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw",description:["Specifies whether images are drawn below or above traces.","When `xref` and `yref` are both set to `paper`,","image is drawn below the entire plot area."].join(" ")},sizex:{valType:"number",dflt:0,editType:"arraydraw",description:["Sets the image container size horizontally.","The image will be sized based on the `position` value.","When `xref` is set to `paper`, units are sized relative","to the plot width.","When `xref` ends with ` domain`, units are sized relative","to the axis width."].join(" ")},sizey:{valType:"number",dflt:0,editType:"arraydraw",description:["Sets the image container size vertically.","The image will be sized based on the `position` value.","When `yref` is set to `paper`, units are sized relative","to the plot height.","When `yref` ends with ` domain`, units are sized relative","to the axis height."].join(" ")},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw",description:["Specifies which dimension of the image to constrain."].join(" ")},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw",description:"Sets the opacity of the image."},x:{valType:"any",dflt:0,editType:"arraydraw",description:["Sets the image's x position.","When `xref` is set to `paper`, units are sized relative","to the plot height.","See `xref` for more info"].join(" ")},y:{valType:"any",dflt:0,editType:"arraydraw",description:["Sets the image's y position.","When `yref` is set to `paper`, units are sized relative","to the plot height.","See `yref` for more info"].join(" ")},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw",description:"Sets the anchor for the x position"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw",description:"Sets the anchor for the y position."},xref:{valType:"enumerated",values:["paper",r.idRegex.x.toString()],dflt:"paper",editType:"arraydraw",description:["Sets the images's x coordinate axis.",a.axisRefDescription("x","left","right")].join(" ")},yref:{valType:"enumerated",values:["paper",r.idRegex.y.toString()],dflt:"paper",editType:"arraydraw",description:["Sets the images's y coordinate axis.",a.axisRefDescription("y","bottom","top")].join(" ")},editType:"arraydraw"})},40824:(e,t,n)=>{"use strict";var r=n(2964),i=n(9244);e.exports=function(e,t,n,a){t=t||{};var o="log"===n&&"linear"===t.type,s="linear"===n&&"log"===t.type;if(o||s)for(var l,c,u=e._fullLayout.images,f=t._id.charAt(0),d=0;d<u.length;d++)if(c="images["+d+"].",(l=u[d])[f+"ref"]===t._id){var h=l[f],p=l["size"+f],m=null,g=null;if(o){m=i(h,t.range);var v=p/Math.pow(10,m)/2;g=2*Math.log(v+Math.sqrt(1+v*v))/Math.LN10}else g=(m=Math.pow(10,h))*(Math.pow(10,p/2)-Math.pow(10,-p/2));r(m)?r(g)||(g=null):(m=null,g=null),a(c+f,m),a(c+"size"+f,g)}}},29736:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(86243),o=n(56015);function s(e,t,n){function a(n,i){return r.coerce(e,t,o,n,i)}var s=a("source");if(!a("visible",!!s))return t;a("layer"),a("xanchor"),a("yanchor"),a("sizex"),a("sizey"),a("sizing"),a("opacity");for(var l={_fullLayout:n},c=["x","y"],u=0;u<2;u++){var f=c[u],d=i.coerceRef(e,t,l,f,"paper",void 0);if("paper"!==d)i.getFromId(l,d)._imgIndices.push(t._index);i.coercePosition(t,l,a,d,f,0)}return t}e.exports=function(e,t){a(e,t,{name:"images",handleItemDefaults:s})}},8396:(e,t,n)=>{"use strict";var r=n(90607),i=n(12228),a=n(70465),o=n(46136),s=n(17211);e.exports=function(e){var t,n,l=e._fullLayout,c=[],u={},f=[];for(n=0;n<l.images.length;n++){var d=l.images[n];if(d.visible)if("below"===d.layer&&"paper"!==d.xref&&"paper"!==d.yref){t=o.ref2id(d.xref)+o.ref2id(d.yref);var h=l._plots[t];if(!h){f.push(d);continue}h.mainplot&&(t=h.mainplot.id),u[t]||(u[t]=[]),u[t].push(d)}else"above"===d.layer?c.push(d):f.push(d)}var p={left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},m={top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}};function g(t){var n=r.select(this);if(this._imgSrc!==t.source)if(n.attr("xmlns",s.svg),t.source&&"data:"===t.source.slice(0,5))n.attr("xlink:href",t.source),this._imgSrc=t.source;else{var i=new Promise(function(e){var r=new Image;function i(){n.remove(),e()}this.img=r,r.setAttribute("crossOrigin","anonymous"),r.onerror=i,r.onload=function(){var t=document.createElement("canvas");t.width=this.width,t.height=this.height,t.getContext("2d",{willReadFrequently:!0}).drawImage(this,0,0);var r=t.toDataURL("image/png");n.attr("xlink:href",r),e()},n.on("error",i),r.src=t.source,this._imgSrc=t.source}.bind(this));e._promises.push(i)}}function v(t){var n,o,s=r.select(this),c=a.getFromId(e,t.xref),u=a.getFromId(e,t.yref),f="domain"===a.getRefType(t.xref),d="domain"===a.getRefType(t.yref),h=l._size;n=void 0!==c?"string"==typeof t.xref&&f?c._length*t.sizex:Math.abs(c.l2p(t.sizex)-c.l2p(0)):t.sizex*h.w,o=void 0!==u?"string"==typeof t.yref&&d?u._length*t.sizey:Math.abs(u.l2p(t.sizey)-u.l2p(0)):t.sizey*h.h;var g,v,y=n*p[t.xanchor].offset,b=o*m[t.yanchor].offset,x=p[t.xanchor].sizing+m[t.yanchor].sizing;switch(g=void 0!==c?"string"==typeof t.xref&&f?c._length*t.x+c._offset:c.r2p(t.x)+c._offset:t.x*h.w+h.l,g+=y,v=void 0!==u?"string"==typeof t.yref&&d?u._length*(1-t.y)+u._offset:u.r2p(t.y)+u._offset:h.h-t.y*h.h+h.t,v+=b,t.sizing){case"fill":x+=" slice";break;case"stretch":x="none"}s.attr({x:g,y:v,width:n,height:o,preserveAspectRatio:x,opacity:t.opacity});var _=(c&&"domain"!==a.getRefType(t.xref)?c._id:"")+(u&&"domain"!==a.getRefType(t.yref)?u._id:"");i.setClipUrl(s,_?"clip"+l._uid+_:null,e)}var y=l._imageLowerLayer.selectAll("image").data(f),b=l._imageUpperLayer.selectAll("image").data(c);y.enter().append("image"),b.enter().append("image"),y.exit().remove(),b.exit().remove(),y.each((function(e){g.bind(this)(e),v.bind(this)(e)})),b.each((function(e){g.bind(this)(e),v.bind(this)(e)}));var x=Object.keys(l._plots);for(n=0;n<x.length;n++){t=x[n];var _=l._plots[t];if(_.imagelayer){var A=_.imagelayer.selectAll("image").data(u[t]||[]);A.enter().append("image"),A.exit().remove(),A.each((function(e){g.bind(this)(e),v.bind(this)(e)}))}}}},76132:(e,t,n)=>{"use strict";e.exports={moduleType:"component",name:"images",layoutAttributes:n(56015),supplyLayoutDefaults:n(29736),includeBasePlot:n(45693)("images"),draw:n(8396),convertCoords:n(40824)}},58182:(e,t,n)=>{"use strict";var r=n(45436),i=n(53416);e.exports={_isSubplotObj:!0,visible:{valType:"boolean",dflt:!0,editType:"legend",description:["Determines whether or not this legend is visible."].join(" ")},bgcolor:{valType:"color",editType:"legend",description:["Sets the legend background color.","Defaults to `layout.paper_bgcolor`."].join(" ")},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"legend",description:"Sets the color of the border enclosing the legend."},borderwidth:{valType:"number",min:0,dflt:0,editType:"legend",description:"Sets the width (in px) of the border enclosing the legend."},font:r({editType:"legend",description:"Sets the font used to text the legend items."}),grouptitlefont:r({editType:"legend",description:["Sets the font for group titles in legend.","Defaults to `legend.font` with its size increased about 10%."].join(" ")}),orientation:{valType:"enumerated",values:["v","h"],dflt:"v",editType:"legend",description:"Sets the orientation of the legend."},traceorder:{valType:"flaglist",flags:["reversed","grouped"],extras:["normal"],editType:"legend",description:["Determines the order at which the legend items are displayed.","If *normal*, the items are displayed top-to-bottom in the same","order as the input data.","If *reversed*, the items are displayed in the opposite order","as *normal*.","If *grouped*, the items are displayed in groups","(when a trace `legendgroup` is provided).","if *grouped+reversed*, the items are displayed in the opposite order","as *grouped*."].join(" ")},tracegroupgap:{valType:"number",min:0,dflt:10,editType:"legend",description:["Sets the amount of vertical space (in px) between legend groups."].join(" ")},entrywidth:{valType:"number",min:0,editType:"legend",description:["Sets the width (in px or fraction) of the legend.","Use 0 to size the entry based on the text width,","when `entrywidthmode` is set to *pixels*."].join(" ")},entrywidthmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"pixels",editType:"legend",description:"Determines what entrywidth means."},indentation:{valType:"number",min:-15,dflt:0,editType:"legend",description:"Sets the indentation (in px) of the legend entries."},itemsizing:{valType:"enumerated",values:["trace","constant"],dflt:"trace",editType:"legend",description:["Determines if the legend items symbols scale with their corresponding *trace* attributes","or remain *constant* independent of the symbol size on the graph."].join(" ")},itemwidth:{valType:"number",min:30,dflt:30,editType:"legend",description:"Sets the width (in px) of the legend item symbols (the part other than the title.text)."},itemclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggle",editType:"legend",description:["Determines the behavior on legend item click.","*toggle* toggles the visibility of the item clicked on the graph.","*toggleothers* makes the clicked item the sole visible item on the graph.","*false* disables legend item click interactions."].join(" ")},itemdoubleclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggleothers",editType:"legend",description:["Determines the behavior on legend item double-click.","*toggle* toggles the visibility of the item clicked on the graph.","*toggleothers* makes the clicked item the sole visible item on the graph.","*false* disables legend item double-click interactions."].join(" ")},groupclick:{valType:"enumerated",values:["toggleitem","togglegroup"],dflt:"togglegroup",editType:"legend",description:["Determines the behavior on legend group item click.","*toggleitem* toggles the visibility of the individual item clicked on the graph.","*togglegroup* toggles the visibility of all items in the same legendgroup as the item clicked on the graph."].join(" 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r=n(25529),i=n(14932),a=i.pushUnique,o=!0;e.exports=function(e,t,n){var s=t._fullLayout;if(!t._dragged&&!t._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,f=s.legend.groupclick;if(1===n&&"toggle"===c&&"toggleothers"===u&&o&&t.data&&t._context.showTips?(i.notifier(i._(t,"Double-click on legend to isolate one trace"),"long"),o=!1):o=!1,1===n?l=c:2===n&&(l=u),l){var d="togglegroup"===f,h=s.hiddenlabels?s.hiddenlabels.slice():[],p=e.data()[0][0];if(!p.groupTitle||!p.noClick){var m=t._fullData,g=(s.shapes||[]).filter((function(e){return e.showlegend})),v=m.concat(g),y=p.trace;y._isShape&&(y=y._fullInput);var b,x,_,A,w,k=y.legendgroup,E={},T=[],M=[],S=[],O=(s.shapes||[]).map((function(e){return e._input})),C=!1,N=y.legend,R=y._fullInput;if(!(R&&R._isShape)&&r.traceIs(y,"pie-like")){var L=p.label,P=h.indexOf(L);if("toggle"===l)-1===P?h.push(L):h.splice(P,1);else if("toggleothers"===l){var D=-1!==P,I=[];for(b=0;b<t.calcdata.length;b++){var 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n=e[0].trace,o=r.select(this).select("g.legendpoints").selectAll("path.legendbox").data(n.visible&&i.traceIs(n,"box-violin")?[e]:[]);o.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),o.exit().remove(),o.each((function(){var e=r.select(this);if("all"!==n.boxpoints&&"all"!==n.points||0!==l.opacity(n.fillcolor)||0!==l.opacity((n.line||{}).color)){var i=A(void 0,n.line,5,2);e.style("stroke-width",i+"px").call(l.fill,n.fillcolor),i&&l.stroke(e,n.line.color)}else{var c=a.minExtend(n,{marker:{size:y?12:a.constrain(n.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});o.call(s.pointStyle,c,t)}}))})).each((function(e){k(e,this,"funnelarea")})).each((function(e){k(e,this,"pie")})).each((function(e){var n,i,o=m(e),l=o.showFill,f=o.showLine,d=o.showGradientLine,h=o.showGradientFill,g=o.anyFill,v=o.anyLine,y=e[0],x=y.trace,_=c(x),w=_.colorscale,k=_.reversescale,E=u.hasMarkers(x)||!g?"M5,0":v?"M5,-2":"M5,-3",T=r.select(this),M=T.select(".legendfill").selectAll("path").data(l||h?[e]:[]);if(M.enter().append("path").classed("js-fill",!0),M.exit().remove(),M.attr("d",E+"h"+b+"v6h-"+b+"z").call((function(e){if(e.size())if(l)s.fillGroupStyle(e,t,!0);else{var n="legendfill-"+x.uid;s.gradient(e,t,n,p(k),w,"fill")}})),f||d){var S=A(void 0,x.line,10,5);i=a.minExtend(x,{line:{width:S}}),n=[a.minExtend(y,{trace:i})]}var O=T.select(".legendlines").selectAll("path").data(f||d?[n]:[]);O.enter().append("path").classed("js-line",!0),O.exit().remove(),O.attr("d",E+(d?"l"+b+",0.0001":"h"+b)).call(f?s.lineGroupStyle:function(e){if(e.size()){var n="legendline-"+x.uid;s.lineGroupStyle(e),s.gradient(e,t,n,p(k),w,"stroke")}})})).each((function(e){var n,i,o=m(e),l=o.anyFill,c=o.anyLine,f=o.showLine,d=o.showMarker,h=e[0],p=h.trace,g=!d&&!c&&!l&&u.hasText(p);function v(e,t,n,r){var i=a.nestedProperty(p,e).get(),o=a.isArrayOrTypedArray(i)&&t?t(i):i;if(y&&o&&void 0!==r&&(o=r),n){if(o<n[0])return n[0];if(o>n[1])return n[1]}return o}function b(e){return h._distinct&&h.index&&e[h.index]?e[h.index]:e[0]}if(d||g||f){var x={},A={};if(d){x.mc=v("marker.color",b),x.mx=v("marker.symbol",b),x.mo=v("marker.opacity",a.mean,[.2,1]),x.mlc=v("marker.line.color",b),x.mlw=v("marker.line.width",a.mean,[0,5],2),A.marker={sizeref:1,sizemin:1,sizemode:"diameter"};var w=v("marker.size",a.mean,[2,16],12);x.ms=w,A.marker.size=w}f&&(A.line={width:v("line.width",b,[0,10],5)}),g&&(x.tx="Aa",x.tp=v("textposition",b),x.ts=10,x.tc=v("textfont.color",b),x.tf=v("textfont.family",b)),n=[a.minExtend(h,x)],(i=a.minExtend(p,A)).selectedpoints=null,i.texttemplate=null}var k=r.select(this).select("g.legendpoints"),E=k.selectAll("path.scatterpts").data(d?n:[]);E.enter().insert("path",":first-child").classed("scatterpts",!0).attr("transform",_),E.exit().remove(),E.call(s.pointStyle,i,t),d&&(n[0].mrc=3);var T=k.selectAll("g.pointtext").data(g?n:[]);T.enter().append("g").classed("pointtext",!0).append("text").attr("transform",_),T.exit().remove(),T.selectAll("text").call(s.textPointStyle,i,t)})).each((function(e){var t=e[0].trace,n=r.select(this).select("g.legendpoints").selectAll("path.legendcandle").data(t.visible&&"candlestick"===t.type?[e,e]:[]);n.enter().append("path").classed("legendcandle",!0).attr("d",(function(e,t){return t?"M-15,0H-8M-8,6V-6H8Z":"M15,0H8M8,-6V6H-8Z"})).attr("transform",_).style("stroke-miterlimit",1),n.exit().remove(),n.each((function(e,n){var i=r.select(this),a=t[n?"increasing":"decreasing"],o=A(void 0,a.line,5,2);i.style("stroke-width",o+"px").call(l.fill,a.fillcolor),o&&l.stroke(i,a.line.color)}))})).each((function(e){var t=e[0].trace,n=r.select(this).select("g.legendpoints").selectAll("path.legendohlc").data(t.visible&&"ohlc"===t.type?[e,e]:[]);n.enter().append("path").classed("legendohlc",!0).attr("d",(function(e,t){return t?"M-15,0H0M-8,-6V0":"M15,0H0M8,6V0"})).attr("transform",_).style("stroke-miterlimit",1),n.exit().remove(),n.each((function(e,n){var i=r.select(this),a=t[n?"increasing":"decreasing"],o=A(void 0,a.line,5,2);i.style("fill","none").call(s.dashLine,a.line.dash,o),o&&l.stroke(i,a.line.color)}))}))}},32977:(e,t,n)=>{"use strict";var r=n(72787);e.exports={editType:"modebar",orientation:{valType:"enumerated",values:["v","h"],dflt:"h",editType:"modebar",description:"Sets the orientation of the modebar."},bgcolor:{valType:"color",editType:"modebar",description:"Sets the background color of the modebar."},color:{valType:"color",editType:"modebar",description:"Sets the color of the icons in the modebar."},activecolor:{valType:"color",editType:"modebar",description:"Sets the color of the active 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Defaults to `layout.uirevision`."].join(" ")},add:{valType:"string",arrayOk:!0,dflt:"",editType:"modebar",description:["Determines which predefined modebar buttons to add.","Please note that these buttons will only be shown if they are","compatible with all trace types used in a graph.","Similar to `config.modeBarButtonsToAdd` option.","This may include *"+r.backButtons.join("*, *")+"*."].join(" ")},remove:{valType:"string",arrayOk:!0,dflt:"",editType:"modebar",description:["Determines which predefined modebar buttons to remove.","Similar to `config.modeBarButtonsToRemove` option.","This may include *"+r.foreButtons.join("*, *")+"*."].join(" ")}}},67735:(e,t,n)=>{"use strict";var r=n(25529),i=n(50207),a=n(46136),o=n(41511),s=n(4548).eraseActiveShape,l=n(14932),c=l._,u=e.exports={};function f(e,t){var n,i,o=t.currentTarget,s=o.getAttribute("data-attr"),l=o.getAttribute("data-val")||!0,c=e._fullLayout,u={},f=a.list(e,null,!0),d=c._cartesianSpikesEnabled;if("zoom"===s){var h,p="in"===l?.5:2,m=(1+p)/2,g=(1-p)/2;for(i=0;i<f.length;i++)if(!(n=f[i]).fixedrange)if(h=n._name,"auto"===l)u[h+".autorange"]=!0;else if("reset"===l)void 0===n._rangeInitial0&&void 0===n._rangeInitial1?u[h+".autorange"]=!0:void 0===n._rangeInitial0?(u[h+".autorange"]=n._autorangeInitial,u[h+".range"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(u[h+".range"]=[n._rangeInitial0,null],u[h+".autorange"]=n._autorangeInitial):u[h+".range"]=[n._rangeInitial0,n._rangeInitial1],void 0!==n._showSpikeInitial&&(u[h+".showspikes"]=n._showSpikeInitial,"on"!==d||n._showSpikeInitial||(d="off"));else{var v=[n.r2l(n.range[0]),n.r2l(n.range[1])],y=[m*v[0]+g*v[1],m*v[1]+g*v[0]];u[h+".range[0]"]=n.l2r(y[0]),u[h+".range[1]"]=n.l2r(y[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=d,r.call("_guiRelayout",e,u)}function d(e,t){for(var n=t.currentTarget,i=n.getAttribute("data-attr"),a=n.getAttribute("data-val")||!0,o=e._fullLayout._subplots.gl3d||[],s={},l=i.split("."),c=0;c<o.length;c++)s[o[c]+"."+l[1]]=a;var u="pan"===a?a:"zoom";s.dragmode=u,r.call("_guiRelayout",e,s)}function h(e,t){for(var n=t.currentTarget.getAttribute("data-attr"),i="resetLastSave"===n,a="resetDefault"===n,o=e._fullLayout,s=o._subplots.gl3d||[],l={},c=0;c<s.length;c++){var u,f=s[c],d=f+".camera",h=f+".aspectratio",p=f+".aspectmode",m=o[f]._scene;i?(l[d+".up"]=m.viewInitial.up,l[d+".eye"]=m.viewInitial.eye,l[d+".center"]=m.viewInitial.center,u=!0):a&&(l[d+".up"]=null,l[d+".eye"]=null,l[d+".center"]=null,u=!0),u&&(l[h+".x"]=m.viewInitial.aspectratio.x,l[h+".y"]=m.viewInitial.aspectratio.y,l[h+".z"]=m.viewInitial.aspectratio.z,l[p]=m.viewInitial.aspectmode)}r.call("_guiRelayout",e,l)}function p(e,t){var n=t.currentTarget,r=n._previousVal,i=e._fullLayout,a=i._subplots.gl3d||[],o=["xaxis","yaxis","zaxis"],s={},l={};if(r)l=r,n._previousVal=null;else{for(var c=0;c<a.length;c++){var u=a[c],f=i[u],d=u+".hovermode";s[d]=f.hovermode,l[d]=!1;for(var h=0;h<3;h++){var p=o[h],m=u+"."+p+".showspikes";l[m]=!1,s[m]=f[p].showspikes}}n._previousVal=s}return l}function m(e,t){for(var n=t.currentTarget,i=n.getAttribute("data-attr"),a=n.getAttribute("data-val")||!0,o=e._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if("zoom"===i){var f=u.projection.scale,d="in"===a?2*f:.5*f;r.call("_guiRelayout",e,c+".projection.scale",d)}}"reset"===i&&b(e,"geo")}function g(e){var t=e._fullLayout;return!t.hovermode&&(t._has("cartesian")?t._isHoriz?"y":"x":"closest")}function v(e){var t=g(e);r.call("_guiRelayout",e,"hovermode",t)}function y(e,t){for(var n=t.currentTarget.getAttribute("data-val"),i=e._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===n?1.05*c:c/1.05;o[l+".zoom"]=u}r.call("_guiRelayout",e,o)}function b(e,t){for(var n=e._fullLayout,i=n._subplots[t]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=n[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+"."+f]=l[f]}r.call("_guiRelayout",e,a)}u.toImage={name:"toImage",title:function(e){var t=(e._context.toImageButtonOptions||{}).format||"png";return c(e,"png"===t?"Download plot as a png":"Download plot")},icon:o.camera,click:function(e){var t=e._context.toImageButtonOptions,n={format:t.format||"png"};l.notifier(c(e,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==n.format&&l.isIE()&&(l.notifier(c(e,"IE only supports svg.  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shape")},icon:o.eraseshape,click:s},u.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(e){return c(e,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},u.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(e){return c(e,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},u.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(e){return c(e,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},u.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(e){return c(e,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},u.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(e){return c(e,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},u.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(e){return c(e,"Compare data on hover")},attr:"hovermode",val:function(e){return e._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},u.zoom3d={name:"zoom3d",_cat:"zoom",title:function(e){return c(e,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:d},u.pan3d={name:"pan3d",_cat:"pan",title:function(e){return c(e,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:d},u.orbitRotation={name:"orbitRotation",title:function(e){return c(e,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:d},u.tableRotation={name:"tableRotation",title:function(e){return c(e,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:d},u.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(e){return c(e,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:h},u.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(e){return c(e,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:h},u.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(e){return c(e,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(e,t){var n=p(e,t);r.call("_guiRelayout",e,n)}},u.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(e){return c(e,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(e){return c(e,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m},u.resetGeo={name:"resetGeo",_cat:"reset",title:function(e){return c(e,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(e){return c(e,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(e){return c(e,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(e){return c(e,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(e){return c(e,"Reset view")},icon:o.home,click:function(e){for(var t={"node.groups":[],"node.x":[],"node.y":[]},n=0;n<e._fullData.length;n++){var i=e._fullData[n]._viewInitial;t["node.groups"].push(i.node.groups.slice()),t["node.x"].push(i.node.x.slice()),t["node.y"].push(i.node.y.slice())}r.call("restyle",e,t)}},u.toggleHover={name:"toggleHover",title:function(e){return c(e,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(e,t){var n=p(e,t);n.hovermode=g(e),r.call("_guiRelayout",e,n)}},u.resetViews={name:"resetViews",title:function(e){return c(e,"Reset views")},icon:o.home,click:function(e,t){var n=t.currentTarget;n.setAttribute("data-attr","zoom"),n.setAttribute("data-val","reset"),f(e,t),n.setAttribute("data-attr","resetLastSave"),h(e,t),b(e,"geo"),b(e,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(e){return c(e,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(e){var t=e._fullLayout,n=t._cartesianSpikesEnabled;t._cartesianSpikesEnabled="on"===n?"off":"on",r.call("_guiRelayout",e,function(e){for(var t="on"===e._fullLayout._cartesianSpikesEnabled,n=a.list(e,null,!0),r={},i=0;i<n.length;i++){var o=n[i];r[o._name+".showspikes"]=!!t||o._showSpikeInitial}return r}(e))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(e){return c(e,"Reset view")},attr:"reset",icon:o.home,click:function(e){b(e,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(e){return c(e,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(e){return c(e,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},72787:(e,t,n)=>{"use strict";var r=n(67735),i=Object.keys(r),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(e){!function(e){if(-1===o.indexOf(e._cat||e.name)){var t=e.name,n=(e._cat||e.name).toLowerCase();-1===s.indexOf(t)&&s.push(t),-1===s.indexOf(n)&&s.push(n)}}(r[e])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},31958:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906),a=n(60131),o=n(32977);e.exports=function(e,t){var n=e.modebar||{},s=a.newContainer(t,"modebar");function l(e,t){return r.coerce(n,s,o,e,t)}l("orientation"),l("bgcolor",i.addOpacity(t.paper_bgcolor,.5));var c=i.contrast(i.rgb(t.modebar.bgcolor));l("color",i.addOpacity(c,.3)),l("activecolor",i.addOpacity(c,.7)),l("uirevision",t.uirevision),l("add"),l("remove")}},88034:(e,t,n)=>{"use strict";e.exports={moduleType:"component",name:"modebar",layoutAttributes:n(32977),supplyLayoutDefaults:n(31958),manage:n(34347)}},34347:(e,t,n)=>{"use strict";var r=n(46136),i=n(36483),a=n(25529),o=n(22081).isUnifiedHover,s=n(2906),l=n(67735),c=n(72787).DRAW_MODES,u=n(14932).extendDeep;e.exports=function(e){var t=e._fullLayout,n=e._context,f=t._modeBar;if(n.displayModeBar||n.watermark){if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var d,h=n.modeBarButtons;d=Array.isArray(h)&&h.length?function(e){for(var t=u([],e),n=0;n<t.length;n++)for(var r=t[n],i=0;i<r.length;i++){var a=r[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));t[n][i]=l[a]}}return t}(h):!n.displayModeBar&&n.watermark?[]:function(e){var t=e._fullLayout,n=e._fullData,s=e._context;function u(e,t){if("string"==typeof t){if(t.toLowerCase()===e.toLowerCase())return!0}else{var n=t.name,r=t._cat||t.name;if(n===e||r===e.toLowerCase())return!0}return!1}var f=t.modebar.add;"string"==typeof f&&(f=[f]);var d=t.modebar.remove;"string"==typeof d&&(d=[d]);var h=s.modeBarButtonsToAdd.concat(f.filter((function(e){for(var t=0;t<s.modeBarButtonsToRemove.length;t++)if(u(e,s.modeBarButtonsToRemove[t]))return!1;return!0}))),p=s.modeBarButtonsToRemove.concat(d.filter((function(e){for(var t=0;t<s.modeBarButtonsToAdd.length;t++)if(u(e,s.modeBarButtonsToAdd[t]))return!1;return!0}))),m=t._has("cartesian"),g=t._has("gl3d"),v=t._has("geo"),y=t._has("pie"),b=t._has("funnelarea"),x=t._has("gl2d"),_=t._has("ternary"),A=t._has("mapbox"),w=t._has("polar"),k=t._has("smith"),E=t._has("sankey"),T=function(e){for(var t=r.list({_fullLayout:e},null,!0),n=0;n<t.length;n++)if(!t[n].fixedrange)return!1;return!0}(t),M=o(t.hovermode),S=[];function O(e){if(e.length){for(var t=[],n=0;n<e.length;n++){for(var r=e[n],i=l[r],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<p.length;c++){var u=p[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||t.push(l[r])}S.push(t)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud");O(C);var N=[],R=[],L=[],P=[];(m||x||y||b||_)+v+g+A+w+k>1?(R=["toggleHover"],L=["resetViews"]):v?(N=["zoomInGeo","zoomOutGeo"],R=["hoverClosestGeo"],L=["resetGeo"]):g?(R=["hoverClosest3d"],L=["resetCameraDefault3d","resetCameraLastSave3d"]):A?(N=["zoomInMapbox","zoomOutMapbox"],R=["toggleHover"],L=["resetViewMapbox"]):x?R=["hoverClosestGl2d"]:y?R=["hoverClosestPie"]:E?(R=["hoverClosestCartesian","hoverCompareCartesian"],L=["resetViewSankey"]):R=["toggleHover"];m&&(R=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]);(function(e){for(var t=0;t<e.length;t++)if(!a.traceIs(e[t],"noHover"))return!1;return!0}(n)||M)&&(R=[]);!m&&!x||T||(N=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==L[0]&&(L=["resetScale2d"]));g?P=["zoom3d","pan3d","orbitRotation","tableRotation"]:(m||x)&&!T||_?P=["zoom2d","pan2d"]:A||v?P=["pan2d"]:w&&(P=["zoom2d"]);(function(e){for(var t=!1,n=0;n<e.length&&!t;n++){var r=e[n];r._module&&r._module.selectPoints&&(a.traceIs(r,"scatter-like")?(i.hasMarkers(r)||i.hasText(r))&&(t=!0):a.traceIs(r,"box-violin")&&"all"!==r.boxpoints&&"all"!==r.points||(t=!0))}return t})(n)&&P.push("select2d","lasso2d");var D=[],I=function(e){-1===D.indexOf(e)&&-1!==R.indexOf(e)&&D.push(e)};if(Array.isArray(h)){for(var j=[],F=0;F<h.length;F++){var z=h[F];"string"==typeof z?(z=z.toLowerCase(),-1!==c.indexOf(z)?(t._has("mapbox")||t._has("cartesian"))&&P.push(z):"togglespikelines"===z?I("toggleSpikelines"):"togglehover"===z?I("toggleHover"):"hovercompare"===z?I("hoverCompareCartesian"):"hoverclosest"===z?(I("hoverClosestCartesian"),I("hoverClosestGeo"),I("hoverClosest3d"),I("hoverClosestGl2d"),I("hoverClosestPie")):"v1hovermode"===z&&(I("toggleHover"),I("hoverClosestCartesian"),I("hoverCompareCartesian"),I("hoverClosestGeo"),I("hoverClosest3d"),I("hoverClosestGl2d"),I("hoverClosestPie"))):j.push(z)}h=j}return O(P),O(N.concat(L)),O(D),function(e,t){if(t.length)if(Array.isArray(t[0]))for(var n=0;n<t.length;n++)e.push(t[n]);else e.push(t);return e}(S,h)}(e),f?f.update(e,d):t._modeBar=s(e,d)}else f&&(f.destroy(),delete t._modeBar)}},2906:(e,t,n)=>{"use strict";var r=n(90607),i=n(2964),a=n(14932),o=n(41511),s=n(99620).version,l=new DOMParser;function c(e){this.container=e.container,this.element=document.createElement("div"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(e,t){this.graphInfo=e;var n=this.graphInfo._context,r=this.graphInfo._fullLayout,i="modebar-"+r._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===n.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===r.modebar.orientation&&(this.element.className+=" vertical",t=t.reverse());var o=r.modebar,s="hover"===n.displayModeBar?".js-plotly-plot .plotly:hover ":"";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+"#"+i+" .modebar-group","background-color: "+o.bgcolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn .icon path","fill: "+o.color),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn:hover .icon path","fill: "+o.activecolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn.active .icon path","fill: "+o.activecolor);var l=!this.hasButtons(t),c=this.hasLogo!==n.displaylogo,u=this.locale!==n.locale;if(this.locale=n.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(t),n.watermark||n.displaylogo)){var f=this.getLogo();n.watermark&&(f.className=f.className+" watermark"),"v"===r.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(e){var n=t.createGroup();e.forEach((function(e){var r=e.name;if(!r)throw new Error("must provide button 'name' in button config");if(-1!==t.buttonsNames.indexOf(r))throw new Error("button name '"+r+"' is taken");t.buttonsNames.push(r);var i=t.createButton(e);t.buttonElements.push(i),n.appendChild(i)})),t.element.appendChild(n)}))},u.createGroup=function(){var e=document.createElement("div");return e.className="modebar-group",e},u.createButton=function(e){var t=this,n=document.createElement("a");n.setAttribute("rel","tooltip"),n.className="modebar-btn";var i=e.title;void 0===i?i=e.name:"function"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&n.setAttribute("data-title",i),void 0!==e.attr&&n.setAttribute("data-attr",e.attr);var a=e.val;if(void 0!==a&&("function"==typeof a&&(a=a(this.graphInfo)),n.setAttribute("data-val",a)),"function"!=typeof e.click)throw new Error("must provide button 'click' function in button config");n.addEventListener("click",(function(n){e.click(t.graphInfo,n),t.updateActiveButton(n.currentTarget)})),n.setAttribute("data-toggle",e.toggle||!1),e.toggle&&r.select(n).classed("active",!0);var s=e.icon;return"function"==typeof s?n.appendChild(s()):n.appendChild(this.createIcon(s||o.question)),n.setAttribute("data-gravity",e.gravity||"n"),n},u.createIcon=function(e){var t,n=i(e.height)?Number(e.height):e.ascent-e.descent,r="http://www.w3.org/2000/svg";if(e.path){(t=document.createElementNS(r,"svg")).setAttribute("viewBox",[0,0,e.width,n].join(" ")),t.setAttribute("class","icon");var a=document.createElementNS(r,"path");a.setAttribute("d",e.path),e.transform?a.setAttribute("transform",e.transform):void 0!==e.ascent&&a.setAttribute("transform","matrix(1 0 0 -1 0 "+e.ascent+")"),t.appendChild(a)}e.svg&&(t=l.parseFromString(e.svg,"application/xml").childNodes[0]);return t.setAttribute("height","1em"),t.setAttribute("width","1em"),t},u.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,n=void 0!==e?e.getAttribute("data-attr"):null;this.buttonElements.forEach((function(e){var i=e.getAttribute("data-val")||!0,o=e.getAttribute("data-attr"),s="true"===e.getAttribute("data-toggle"),l=r.select(e);if(s)o===n&&l.classed("active",!l.classed("active"));else{var c=null===o?o:a.nestedProperty(t,o).get();l.classed("active",c===i)}}))},u.hasButtons=function(e){var t=this.buttons;if(!t)return!1;if(e.length!==t.length)return!1;for(var n=0;n<e.length;++n){if(e[n].length!==t[n].length)return!1;for(var r=0;r<e[n].length;r++)if(e[n][r].name!==t[n][r].name)return!1}return!0},u.getLogo=function(){var e=this.createGroup(),t=document.createElement("a");return t.href="https://plotly.com/",t.target="_blank",t.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),t.className="modebar-btn plotlyjsicon modebar-btn--logo",t.appendChild(this.createIcon(o.newplotlylogo)),e.appendChild(t),e},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(".modebar")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(e,t){var n=e._fullLayout,i=new c({graphInfo:e,container:n._modebardiv.node(),buttons:t});return n._privateplot&&r.select(i.element).append("span").classed("badge-private float--left",!0).text("PRIVATE"),i}},67761:(e,t,n)=>{"use strict";var r=n(45436),i=n(53416),a=(0,n(60131).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot",description:"Determines whether or not this button is visible."},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot",description:["The unit of measurement that the `count` value will set the range by."].join(" ")},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot",description:["Sets the range update mode.","If *backward*, the range update shifts the start of range","back *count* times *step* milliseconds.","If *todate*, the range update shifts the start of range","back to the first timestamp from *count* times","*step* milliseconds back.","For example, with `step` set to *year* and `count` set to *1*","the range update shifts the start of the range back to","January 01 of the current year.","Month and year *todate* are currently available only","for the built-in (Gregorian) calendar."].join(" ")},count:{valType:"number",min:0,dflt:1,editType:"plot",description:["Sets the number of steps to take to update the range.","Use with `step` to specify the update interval."].join(" ")},label:{valType:"string",editType:"plot",description:"Sets the text label to appear on the button."},editType:"plot",description:["Sets the specifications for each buttons.","By default, a range selector comes with no buttons."].join(" ")});e.exports={visible:{valType:"boolean",editType:"plot",description:["Determines whether or not this range selector is visible.","Note that range selectors are only available for x axes of","`type` set to or auto-typed to *date*."].join(" ")},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot",description:"Sets the x position (in normalized coordinates) of the range selector."},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot",description:["Sets the range selector's horizontal position anchor.","This anchor binds the `x` position to the *left*, *center*","or *right* of the range selector."].join(" ")},y:{valType:"number",min:-2,max:3,editType:"plot",description:"Sets the y position (in normalized coordinates) of the range selector."},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot",description:["Sets the range selector's vertical position anchor","This anchor binds the `y` position to the *top*, *middle*","or *bottom* of the range selector."].join(" ")},font:r({editType:"plot",description:"Sets the font of the range selector button text."}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot",description:"Sets the background color of the range selector buttons."},activecolor:{valType:"color",editType:"plot",description:"Sets the background color of the active range selector button."},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot",description:"Sets the color of the border enclosing the range selector."},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot",description:"Sets the width (in px) of the border enclosing the range selector."},editType:"plot"}},32819:e=>{"use strict";e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},31862:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906),a=n(60131),o=n(86243),s=n(67761),l=n(32819);function c(e,t,n,i){var a=i.calendar;function o(n,i){return r.coerce(e,t,s.buttons,n,i)}if(o("visible")){var l=o("step");"all"!==l&&(!a||"gregorian"===a||"month"!==l&&"year"!==l?o("stepmode"):t.stepmode="backward",o("count")),o("label")}}e.exports=function(e,t,n,u,f){var d=e.rangeselector||{},h=a.newContainer(t,"rangeselector");function p(e,t){return r.coerce(d,h,s,e,t)}if(p("visible",o(d,h,{name:"buttons",handleItemDefaults:c,calendar:f}).length>0)){var m=function(e,t,n){for(var r=n.filter((function(n){return t[n].anchor===e._id})),i=0,a=0;a<r.length;a++){var o=t[r[a]].domain;o&&(i=Math.max(o[1],i))}return[e.domain[0],i+l.yPad]}(t,n,u);p("x",m[0]),p("y",m[1]),r.noneOrAll(e,t,["x","y"]),p("xanchor"),p("yanchor"),r.coerceFont(p,"font",n.font);var g=p("bgcolor");p("activecolor",i.contrast(g,l.lightAmount,l.darkAmount)),p("bordercolor"),p("borderwidth")}}},67322:(e,t,n)=>{"use strict";var r=n(90607),i=n(25529),a=n(50207),o=n(39906),s=n(12228),l=n(14932),c=l.strTranslate,u=n(13256),f=n(46136),d=n(8007),h=d.LINE_SPACING,p=d.FROM_TL,m=d.FROM_BR,g=n(32819),v=n(49372);function y(e){return e._id}function b(e,t,n){var r=l.ensureSingle(e,"rect","selector-rect",(function(e){e.attr("shape-rendering","crispEdges")}));r.attr({rx:g.rx,ry:g.ry}),r.call(o.stroke,t.bordercolor).call(o.fill,function(e,t){return t._isActive||t._isHovered?e.activecolor:e.bgcolor}(t,n)).style("stroke-width",t.borderwidth+"px")}function x(e,t,n,r){l.ensureSingle(e,"text","selector-text",(function(e){e.attr("text-anchor","middle")})).call(s.font,t.font).text(function(e,t){if(e.label)return t?l.templateString(e.label,t):e.label;return"all"===e.step?"all":e.count+e.step.charAt(0)}(n,r._fullLayout._meta)).call((function(e){u.convertToTspans(e,r)}))}e.exports=function(e){var t=e._fullLayout._infolayer.selectAll(".rangeselector").data(function(e){for(var t=f.list(e,"x",!0),n=[],r=0;r<t.length;r++){var i=t[r];i.rangeselector&&i.rangeselector.visible&&n.push(i)}return n}(e),y);t.enter().append("g").classed("rangeselector",!0),t.exit().remove(),t.style({cursor:"pointer","pointer-events":"all"}),t.each((function(t){var n=r.select(this),o=t,f=o.rangeselector,d=n.selectAll("g.button").data(l.filterVisible(f.buttons));d.enter().append("g").classed("button",!0),d.exit().remove(),d.each((function(t){var n=r.select(this),a=v(o,t);t._isActive=function(e,t,n){if("all"===t.step)return!0===e.autorange;var r=Object.keys(n);return e.range[0]===n[r[0]]&&e.range[1]===n[r[1]]}(o,t,a),n.call(b,f,t),n.call(x,f,t,e),n.on("click",(function(){e._dragged||i.call("_guiRelayout",e,a)})),n.on("mouseover",(function(){t._isHovered=!0,n.call(b,f,t)})),n.on("mouseout",(function(){t._isHovered=!1,n.call(b,f,t)}))})),function(e,t,n,i,o){var f=0,d=0,v=n.borderwidth;t.each((function(){var e=r.select(this).select(".selector-text"),t=n.font.size*h,i=Math.max(t*u.lineCount(e),16)+3;d=Math.max(d,i)})),t.each((function(){var e=r.select(this),t=e.select(".selector-rect"),i=e.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=n.font.size*h,l=u.lineCount(i),p=Math.max(a+10,g.minButtonWidth);e.attr("transform",c(v+f,v)),t.attr({x:0,y:0,width:p,height:d}),u.positionText(i,p/2,d/2-(l-1)*o/2+3),f+=p+5}));var y=e._fullLayout._size,b=y.l+y.w*n.x,x=y.t+y.h*(1-n.y),_="left";l.isRightAnchor(n)&&(b-=f,_="right");l.isCenterAnchor(n)&&(b-=f/2,_="center");var A="top";l.isBottomAnchor(n)&&(x-=d,A="bottom");l.isMiddleAnchor(n)&&(x-=d/2,A="middle");f=Math.ceil(f),d=Math.ceil(d),b=Math.round(b),x=Math.round(x),a.autoMargin(e,i+"-range-selector",{x:n.x,y:n.y,l:f*p[_],r:f*m[_],b:d*m[A],t:d*p[A]}),o.attr("transform",c(b,x))}(e,d,f,o._name,n)}))}},49372:(e,t,n)=>{"use strict";var r=n(21227),i=n(14932).titleCase;e.exports=function(e,t){var n=e._name,a={};if("all"===t.step)a[n+".autorange"]=!0;else{var o=function(e,t){var n,a=e.range,o=new Date(e.r2l(a[1])),s=t.step,l=r["utc"+i(s)],c=t.count;switch(t.stepmode){case"backward":n=e.l2r(+l.offset(o,-c));break;case"todate":var u=l.offset(o,-c);n=e.l2r(+l.ceil(u))}var f=a[1];return[n,f]}(e,t);a[n+".range[0]"]=o[0],a[n+".range[1]"]=o[1]}return a}},32290:(e,t,n)=>{"use strict";e.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:n(67761)}}},layoutAttributes:n(67761),handleDefaults:n(31862),draw:n(67322)}},55249:(e,t,n)=>{"use strict";var r=n(53416);e.exports={bgcolor:{valType:"color",dflt:r.background,editType:"plot",description:"Sets the background color of the range slider."},bordercolor:{valType:"color",dflt:r.defaultLine,editType:"plot",description:"Sets the border color of the range slider."},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot",description:"Sets the border width of the range slider."},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Determines whether or not the range slider range is","computed in relation to the input data.","If `range` is provided, then `autorange` is set to *false*."].join(" ")},range:{valType:"info_array",items:[{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}}],editType:"calc",impliedEdits:{autorange:!1},description:["Sets the range of the range slider.","If not set, defaults to the full xaxis range.","If the axis `type` is *log*, then you must take the","log of your desired range.","If the axis `type` is *date*, it should be date strings,","like date data, though Date objects and unix milliseconds","will be accepted and converted to strings.","If the axis `type` is *category*, it should be numbers,","using the scale where each category is assigned a serial","number from zero in the order it appears."].join(" ")},thickness:{valType:"number",dflt:.15,min:0,max:1,editType:"plot",description:["The height of the range slider as a fraction of the","total plot area height."].join(" ")},visible:{valType:"boolean",dflt:!0,editType:"calc",description:["Determines whether or not the range slider will be visible.","If visible, perpendicular axes will be set to `fixedrange`"].join(" ")},editType:"calc"}},92138:(e,t,n)=>{"use strict";var r=n(46136).list,i=n(3090).getAutoRange,a=n(33651);e.exports=function(e){for(var t=r(e,"x",!0),n=0;n<t.length;n++){var o=t[n],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(e,o))}}},33651:e=>{"use strict";e.exports={name:"rangeslider",containerClassName:"rangeslider-container",bgClassName:"rangeslider-bg",rangePlotClassName:"rangeslider-rangeplot",maskMinClassName:"rangeslider-mask-min",maskMaxClassName:"rangeslider-mask-max",slideBoxClassName:"rangeslider-slidebox",grabberMinClassName:"rangeslider-grabber-min",grabAreaMinClassName:"rangeslider-grabarea-min",handleMinClassName:"rangeslider-handle-min",grabberMaxClassName:"rangeslider-grabber-max",grabAreaMaxClassName:"rangeslider-grabarea-max",handleMaxClassName:"rangeslider-handle-max",maskMinOppAxisClassName:"rangeslider-mask-min-opp-axis",maskMaxOppAxisClassName:"rangeslider-mask-max-opp-axis",maskColor:"rgba(0,0,0,0.4)",maskOppAxisColor:"rgba(0,0,0,0.2)",slideBoxFill:"transparent",slideBoxCursor:"ew-resize",grabAreaFill:"transparent",grabAreaCursor:"col-resize",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}},92054:(e,t,n)=>{"use strict";var r=n(14932),i=n(60131),a=n(46136),o=n(55249),s=n(536);e.exports=function(e,t,n){var l=e[n],c=t[n];if(l.rangeslider||t._requestRangeslider[c._id]){r.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,f,d=l.rangeslider,h=i.newContainer(c,"rangeslider");if(_("visible")){_("bgcolor",t.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!c.isValidRange(d.range)),_("range");var p=t._subplots;if(p)for(var m=p.cartesian.filter((function(e){return e.substr(0,e.indexOf("y"))===a.name2id(n)})).map((function(e){return e.substr(e.indexOf("y"),e.length)})),g=r.simpleMap(m,a.id2name),v=0;v<g.length;v++){var y=g[v];u=d[y]||{},f=i.newContainer(h,y,"yaxis");var b,x=t[y];u.range&&x.isValidRange(u.range)&&(b="fixed"),"match"!==A("rangemode",b)&&A("range",x.range.slice())}h._input=d}}function _(e,t){return r.coerce(d,h,o,e,t)}function A(e,t){return r.coerce(u,f,s,e,t)}}},99098:(e,t,n)=>{"use strict";var r=n(90607),i=n(25529),a=n(50207),o=n(14932),s=o.strTranslate,l=n(12228),c=n(39906),u=n(34149),f=n(41222),d=n(46136),h=n(53700),p=n(30158),m=n(33651);function g(e){return"number"==typeof e.clientX?e.clientX:e.touches&&e.touches.length>0?e.touches[0].clientX:0}function v(e,t,n,r){var i=o.ensureSingle(e,"rect",m.bgClassName,(function(e){e.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=r.borderwidth%2==0?r.borderwidth:r.borderwidth-1,u=-r._offsetShift,f=l.crispRound(t,r.borderwidth);i.attr({width:r._width+a,height:r._height+a,transform:s(u,u),"stroke-width":f}).call(c.stroke,r.bordercolor).call(c.fill,r.bgcolor)}function y(e,t,n,r){var i=t._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",r._clipId,(function(e){e.append("rect").attr({x:0,y:0})})).select("rect").attr({width:r._width,height:r._height})}function b(e,t,n,i){var s,c=t.calcdata,u=e.selectAll("g."+m.rangePlotClassName).data(n._subplotsWith,o.identity);u.enter().append("g").attr("class",(function(e){return m.rangePlotClassName+" "+e})).call(l.setClipUrl,i._clipId,t),u.order(),u.exit().remove(),u.each((function(e,o){var l=r.select(this),u=0===o,h=d.getFromId(t,e,"y"),p=h._name,m=i[p],g={data:[],layout:{xaxis:{type:n.type,domain:[0,1],range:i.range.slice(),calendar:n.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:t._context};n.rangebreaks&&(g.layout.xaxis.rangebreaks=n.rangebreaks),g.layout[p]={type:h.type,domain:[0,1],range:"match"!==m.rangemode?m.range.slice():h.range.slice(),calendar:h.calendar},h.rangebreaks&&(g.layout[p].rangebreaks=h.rangebreaks),a.supplyDefaults(g);var v=g._fullLayout.xaxis,y=g._fullLayout[p];v.clearCalc(),v.setScale(),y.clearCalc(),y.setScale();var b={id:e,plotgroup:l,xaxis:v,yaxis:y,isRangePlot:!0};u?s=b:(b.mainplot="xy",b.mainplotinfo=s),f.rangePlot(t,b,function(e,t){for(var n=[],r=0;r<e.length;r++){var i=e[r],a=i[0].trace;a.xaxis+a.yaxis===t&&n.push(i)}return n}(c,e))}))}function x(e,t,n,r,i){(o.ensureSingle(e,"rect",m.maskMinClassName,(function(e){e.attr({x:0,y:0,"shape-rendering":"crispEdges"})})).attr("height",r._height).call(c.fill,m.maskColor),o.ensureSingle(e,"rect",m.maskMaxClassName,(function(e){e.attr({y:0,"shape-rendering":"crispEdges"})})).attr("height",r._height).call(c.fill,m.maskColor),"match"!==i.rangemode)&&(o.ensureSingle(e,"rect",m.maskMinOppAxisClassName,(function(e){e.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",r._width).call(c.fill,m.maskOppAxisColor),o.ensureSingle(e,"rect",m.maskMaxOppAxisClassName,(function(e){e.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",r._width).style("border-top",m.maskOppBorder).call(c.fill,m.maskOppAxisColor))}function _(e,t,n,r){t._context.staticPlot||o.ensureSingle(e,"rect",m.slideBoxClassName,(function(e){e.attr({y:0,cursor:m.slideBoxCursor,"shape-rendering":"crispEdges"})})).attr({height:r._height,fill:m.slideBoxFill})}function A(e,t,n,r){var i=o.ensureSingle(e,"g",m.grabberMinClassName),a=o.ensureSingle(e,"g",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,"stroke-width":m.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(r._height/4),height:Math.round(r._height/2)};o.ensureSingle(i,"rect",m.handleMinClassName,(function(e){e.attr(s)})).attr(l),o.ensureSingle(a,"rect",m.handleMaxClassName,(function(e){e.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:t._context.staticPlot?void 0:m.grabAreaCursor};o.ensureSingle(i,"rect",m.grabAreaMinClassName,(function(e){e.attr(u)})).attr("height",r._height),o.ensureSingle(a,"rect",m.grabAreaMaxClassName,(function(e){e.attr(u)})).attr("height",r._height)}e.exports=function(e){for(var t=e._fullLayout,n=t._rangeSliderData,a=0;a<n.length;a++){var l=n[a][m.name];l._clipId=l._id+"-"+t._uid}var c=t._infolayer.selectAll("g."+m.containerClassName).data(n,(function(e){return e._name}));c.exit().each((function(e){var n=e[m.name];t._topdefs.select("#"+n._clipId).remove()})).remove(),0!==n.length&&(c.enter().append("g").classed(m.containerClassName,!0).attr("pointer-events","all"),c.each((function(n){var a=r.select(this),l=n[m.name],c=t[d.id2name(n.anchor)],f=l[d.id2name(n.anchor)];if(l.range){var w,k=o.simpleMap(l.range,n.r2l),E=o.simpleMap(n.range,n.r2l);w=E[0]<E[1]?[Math.min(k[0],E[0]),Math.max(k[1],E[1])]:[Math.max(k[0],E[0]),Math.min(k[1],E[1])],l.range=l._input.range=o.simpleMap(w,n.l2r)}n.cleanRange("rangeslider.range");var T=t._size,M=n.domain;l._width=T.w*(M[1]-M[0]);var S=Math.round(T.l+T.w*M[0]),O=Math.round(T.t+T.h*(1-n._counterDomainMin)+("bottom"===n.side?n._depth:0)+l._offsetShift+m.extraPad);a.attr("transform",s(S,O)),l._rl=o.simpleMap(l.range,n.r2l);var C=l._rl[0],N=l._rl[1],R=N-C;if(l.p2d=function(e){return e/l._width*R+C},l.d2p=function(e){return(e-C)/R*l._width},n.rangebreaks){var L=n.locateBreaks(C,N);if(L.length){var P,D,I=0;for(P=0;P<L.length;P++)I+=(D=L[P]).max-D.min;var j=l._width/(N-C-I),F=[-j*C];for(P=0;P<L.length;P++)D=L[P],F.push(F[F.length-1]-j*(D.max-D.min));for(l.d2p=function(e){for(var t=F[0],n=0;n<L.length;n++){var r=L[n];if(e>=r.max)t=F[n+1];else if(e<r.min)break}return t+j*e},P=0;P<L.length;P++)(D=L[P]).pmin=l.d2p(D.min),D.pmax=l.d2p(D.max);l.p2d=function(e){for(var t=F[0],n=0;n<L.length;n++){var r=L[n];if(e>=r.pmax)t=F[n+1];else if(e<r.pmin)break}return(e-t)/j}}}if("match"!==f.rangemode){var z=c.r2l(f.range[0]),B=c.r2l(f.range[1])-z;l.d2pOppAxis=function(e){return(e-z)/B*l._height}}a.call(v,e,n,l).call(y,e,n,l).call(b,e,n,l).call(x,e,n,l,f).call(_,e,n,l).call(A,e,n,l),function(e,t,n,a){if(t._context.staticPlot)return;var s=e.select("rect."+m.slideBoxClassName).node(),l=e.select("rect."+m.grabAreaMinClassName).node(),c=e.select("rect."+m.grabAreaMaxClassName).node();function u(){var u=r.event,f=u.target,d=g(u),m=d-e.node().getBoundingClientRect().left,v=a.d2p(n._rl[0]),y=a.d2p(n._rl[1]),b=h.coverSlip();function x(e){var u,h,x,_=+g(e)-d;switch(f){case s:if(x="ew-resize",v+_>n._length||y+_<0)return;u=v+_,h=y+_;break;case l:if(x="col-resize",v+_>n._length)return;u=v+_,h=y;break;case c:if(x="col-resize",y+_<0)return;u=v,h=y+_;break;default:x="ew-resize",u=m,h=m+_}if(h<u){var A=h;h=u,u=A}a._pixelMin=u,a._pixelMax=h,p(r.select(b),x),function(e,t,n,r){function a(e){return n.l2r(o.constrain(e,r._rl[0],r._rl[1]))}var s=a(r.p2d(r._pixelMin)),l=a(r.p2d(r._pixelMax));window.requestAnimationFrame((function(){i.call("_guiRelayout",t,n._name+".range",[s,l])}))}(0,t,n,a)}function _(){b.removeEventListener("mousemove",x),b.removeEventListener("mouseup",_),this.removeEventListener("touchmove",x),this.removeEventListener("touchend",_),o.removeElement(b)}this.addEventListener("touchmove",x),this.addEventListener("touchend",_),b.addEventListener("mousemove",x),b.addEventListener("mouseup",_)}e.on("mousedown",u),e.on("touchstart",u)}(a,e,n,l),function(e,t,n,r,i,a){var l=m.handleWidth/2;function c(e){return o.constrain(e,0,r._width)}function u(e){return o.constrain(e,0,r._height)}function f(e){return o.constrain(e,-l,r._width+l)}var d=c(r.d2p(n._rl[0])),h=c(r.d2p(n._rl[1]));if(e.select("rect."+m.slideBoxClassName).attr("x",d).attr("width",h-d),e.select("rect."+m.maskMinClassName).attr("width",d),e.select("rect."+m.maskMaxClassName).attr("x",h).attr("width",r._width-h),"match"!==a.rangemode){var p=r._height-u(r.d2pOppAxis(i._rl[1])),g=r._height-u(r.d2pOppAxis(i._rl[0]));e.select("rect."+m.maskMinOppAxisClassName).attr("x",d).attr("height",p).attr("width",h-d),e.select("rect."+m.maskMaxOppAxisClassName).attr("x",d).attr("y",g).attr("height",r._height-g).attr("width",h-d),e.select("rect."+m.slideBoxClassName).attr("y",p).attr("height",g-p)}var v=.5,y=Math.round(f(d-l))-v,b=Math.round(f(h-l))+v;e.select("g."+m.grabberMinClassName).attr("transform",s(y,v)),e.select("g."+m.grabberMaxClassName).attr("transform",s(b,v))}(a,0,n,l,c,f),"bottom"===n.side&&u.draw(e,n._id+"title",{propContainer:n,propName:n._name+".title",placeholder:t._dfltTitle.x,attributes:{x:n._offset+n._length/2,y:O+l._height+l._offsetShift+10+1.5*n.title.font.size,"text-anchor":"middle"}})})))}},52771:(e,t,n)=>{"use strict";var r=n(46136),i=n(13256),a=n(33651),o=n(8007).LINE_SPACING,s=a.name;function l(e){var t=e&&e[s];return t&&t.visible}t.isVisible=l,t.makeData=function(e){var t=r.list({_fullLayout:e},"x",!0),n=e.margin,i=[];if(!e._has("gl2d"))for(var a=0;a<t.length;a++){var o=t[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(e.height-n.b-n.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}e._rangeSliderData=i},t.autoMarginOpts=function(e,t){var n=e._fullLayout,r=t[s],l=t._id.charAt(0),c=0,u=0;"bottom"===t.side&&(c=t._depth,t.title.text!==n._dfltTitle[l]&&(u=1.5*t.title.font.size+10+r._offsetShift,u+=(t.title.text.match(i.BR_TAG_ALL)||[]).length*t.title.font.size*o));return{x:0,y:t._counterDomainMin,l:0,r:0,t:0,b:r._height+c+Math.max(n.margin.b,u),pad:a.extraPad+2*r._offsetShift}}},95202:(e,t,n)=>{"use strict";var r=n(14932),i=n(55249),a=n(536),o=n(52771);e.exports={moduleType:"component",name:"rangeslider",schema:{subplots:{xaxis:{rangeslider:r.extendFlat({},i,{yaxis:a})}}},layoutAttributes:n(55249),handleDefaults:n(92054),calcAutorange:n(92138),draw:n(99098),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},536:e=>{"use strict";e.exports={_isSubplotObj:!0,rangemode:{valType:"enumerated",values:["auto","fixed","match"],dflt:"match",editType:"calc",description:["Determines whether or not the range of this axis in","the rangeslider use the same value than in the main plot","when zooming in/out.","If *auto*, the autorange will be used.","If *fixed*, the `range` is used.","If *match*, the current range of the corresponding y-axis on the main subplot is used."].join(" ")},range:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot",description:["Sets the range of this axis for the rangeslider."].join(" ")},editType:"calc"}},58184:(e,t,n)=>{"use strict";var r=n(2563),i=n(24929).line,a=n(43151).T,o=n(62134).extendFlat,s=n(65963).overrideAll,l=n(60131).templatedArray,c=n(47838);e.exports=s(l("selection",{type:{valType:"enumerated",values:["rect","path"],description:["Specifies the selection type to be drawn.","If *rect*, a rectangle is drawn linking","(`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`) and (`x0`,`y1`).","If *path*, draw a custom SVG path using `path`."].join(" ")},xref:o({},r.xref,{description:["Sets the selection's x coordinate axis.",c.axisRefDescription("x","left","right")].join(" ")}),yref:o({},r.yref,{description:["Sets the selection's x coordinate axis.",c.axisRefDescription("y","bottom","top")].join(" ")}),x0:{valType:"any",description:"Sets the selection's starting x position."},x1:{valType:"any",description:"Sets the selection's end x position."},y0:{valType:"any",description:"Sets the selection's starting y position."},y1:{valType:"any",description:"Sets the selection's end y position."},path:{valType:"string",editType:"arraydraw",description:["For `type` *path* - a valid SVG path similar to `shapes.path` in data coordinates.","Allowed segments are: M, L and Z."].join(" ")},opacity:{valType:"number",min:0,max:1,dflt:.7,editType:"arraydraw",description:"Sets the opacity of the selection."},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:"dot"})}}),"arraydraw","from-root")},90412:e=>{"use strict";e.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:"-select"}},2047:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(86243),o=n(58184),s=n(30137);function l(e,t,n){function a(n,i){return r.coerce(e,t,o,n,i)}var l=a("path"),c="path"!==a("type",l?"path":"rect");c&&delete t.path,a("opacity"),a("line.color"),a("line.width"),a("line.dash");for(var u=["x","y"],f=0;f<2;f++){var d,h,p,m=u[f],g={_fullLayout:n},v=i.coerceRef(e,t,g,m);if((d=i.getFromId(g,v))._selectionIndices.push(t._index),p=s.rangeToShapePosition(d),h=s.shapePositionToRange(d),c){var y=m+"0",b=m+"1",x=e[y],_=e[b];e[y]=h(e[y],!0),e[b]=h(e[b],!0),i.coercePosition(t,g,a,v,y),i.coercePosition(t,g,a,v,b);var A=t[y],w=t[b];void 0!==A&&void 0!==w&&(t[y]=p(A),t[b]=p(w),e[y]=x,e[b]=_)}}c&&r.noneOrAll(e,t,["x0","x1","y0","y1"])}e.exports=function(e,t){a(e,t,{name:"selections",handleItemDefaults:l});for(var n=t.selections,r=0;r<n.length;r++){var i=n[r];i&&(void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(t.selections[r]=null)))}}},41703:(e,t,n)=>{"use strict";var r=n(56862).readPaths,i=n(89486),a=n(79409).clearOutlineControllers,o=n(39906),s=n(12228),l=n(60131).arrayEditor,c=n(30137),u=c.getPathString;function f(e){var t=e._fullLayout;for(var n in a(e),t._selectionLayer.selectAll("path").remove(),t._plots){var r=t._plots[n].selectionLayer;r&&r.selectAll("path").remove()}for(var i=0;i<t.selections.length;i++)h(e,i)}function d(e){return e._context.editSelection}function h(e,t){e._fullLayout._paperdiv.selectAll('.selectionlayer [data-index="'+t+'"]').remove();var n=c.makeSelectionsOptionsAndPlotinfo(e,t),a=n.options,h=n.plotinfo;a._input&&function(n){var c=u(e,a),g={"data-index":t,"fill-rule":"evenodd",d:c},v=a.opacity,y="rgba(0,0,0,0)",b=a.line.color||o.contrast(e._fullLayout.plot_bgcolor),x=a.line.width,_=a.line.dash;x||(x=5,_="solid");var A=d(e)&&e._fullLayout._activeSelectionIndex===t;A&&(y=e._fullLayout.activeselection.fillcolor,v=e._fullLayout.activeselection.opacity);for(var w=[],k=1;k>=0;k--){var E=n.append("path").attr(g).style("opacity",k?.1:v).call(o.stroke,b).call(o.fill,y).call(s.dashLine,k?"solid":_,k?4+x:x);if(p(E,e,a),A){var T=l(e.layout,"selections",a);E.style({cursor:"move"});var M={element:E.node(),plotinfo:h,gd:e,editHelpers:T,isActiveSelection:!0},S=r(c,e);i(S,E,M)}else E.style("pointer-events",k?"all":"none");w[k]=E}var O=w[0];w[1].node().addEventListener("click",(function(){return function(e,t){if(!d(e))return;var n=t.node(),r=+n.getAttribute("data-index");if(r>=0){if(r===e._fullLayout._activeSelectionIndex)return void m(e);e._fullLayout._activeSelectionIndex=r,e._fullLayout._deactivateSelection=m,f(e)}}(e,O)}))}(e._fullLayout._selectionLayer)}function p(e,t,n){var r=n.xref+n.yref;s.setClipUrl(e,"clip"+t._fullLayout._uid+r,t)}function m(e){d(e)&&(e._fullLayout._activeSelectionIndex>=0&&(a(e),delete e._fullLayout._activeSelectionIndex,f(e)))}e.exports={draw:f,drawOne:h,activateLastSelection:function(e){if(!d(e))return;var t=e._fullLayout.selections.length-1;e._fullLayout._activeSelectionIndex=t,e._fullLayout._deactivateSelection=m,f(e)}}},72804:(e,t,n)=>{"use strict";var r=n(43151).T,i=n(62134).extendFlat;e.exports={newselection:{mode:{valType:"enumerated",values:["immediate","gradual"],dflt:"immediate",editType:"none",description:["Describes how a new selection is created.","If `immediate`, a new selection is created after first mouse up.","If `gradual`, a new selection is not created after first mouse.","By adding to and subtracting from the initial selection,","this option allows declaring extra outlines of the selection."].join(" ")},line:{color:{valType:"color",editType:"none",description:["Sets the line color.","By default uses either dark grey or white","to increase contrast with background color."].join(" ")},width:{valType:"number",min:1,dflt:1,editType:"none",description:"Sets the line width (in px)."},dash:i({},r,{dflt:"dot",editType:"none"}),editType:"none"},editType:"none"},activeselection:{fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none",description:"Sets the color filling the active selection' interior."},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none",description:"Sets the opacity of the active selection."},editType:"none"}}},79155:e=>{"use strict";e.exports=function(e,t,n){n("newselection.mode"),n("newselection.line.width")&&(n("newselection.line.color"),n("newselection.line.dash")),n("activeselection.fillcolor"),n("activeselection.opacity")}},64400:(e,t,n)=>{"use strict";var r=n(34321).selectMode,i=n(79409).clearOutline,a=n(56862),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(e,t){if(e.length){var n=e[0][0];if(n){var a=n.getAttribute("d"),c=t.gd,u=c._fullLayout.newselection,f=t.plotinfo,d=f.xaxis,h=f.yaxis,p=t.isActiveSelection,m=t.dragmode,g=(c.layout||{}).selections||[];if(!r(m)&&void 0!==p){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case"rect":m="select";break;case"path":m="lasso"}}var 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r=n(5017),i=n(66846),a=n(25529),o=n(12228).dashStyle,s=n(39906),l=n(37940),c=n(22081).makeEventData,u=n(34321),f=u.freeMode,d=u.rectMode,h=u.drawMode,p=u.openMode,m=u.selectMode,g=n(30137),v=n(55969),y=n(89486),b=n(79409).clearOutline,x=n(56862),_=x.handleEllipse,A=x.readPaths,w=n(48019).newShapes,k=n(64400),E=n(41703).activateLastSelection,T=n(14932),M=T.sorterAsc,S=n(72854),O=n(35554),C=n(46136).getFromId,N=n(78814),R=n(56022).redrawReglTraces,L=n(90412),P=L.MINSELECT,D=S.filter,I=S.tester,j=n(91584),F=j.p2r,z=j.axValue,B=j.getTransform;function U(e){return void 0!==e.subplot}function $(e,t,n,r,i,a,o){var s,l,c,u,f,d,h,m,g,v=t._hoverdata,b=t._fullLayout.clickmode.indexOf("event")>-1,x=[];if(function(e){return e&&Array.isArray(e)&&!0!==e[0].hoverOnBox}(v)){W(e,t,a);var _=function(e,t){var n,r,i=e[0],a=-1,o=[];for(r=0;r<t.length;r++)if(n=t[r],i.fullData._expandedIndex===n.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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0!==d?d:Z(_)),c=function(e,t,n){return{pointNumber:e,searchInfo:t,subtract:!!n}}(_.pointNumber,_.searchInfo,h),u=V(a.selectionDefs.concat([c])),g=0;g<s.length;g++)if(f=ee(s[g]._module.selectPoints(s[g],u),s[g]),x.length)for(var A=0;A<f.length;A++)x.push(f[A]);else x=f;if(J(t,s,m={points:x}),c&&a&&a.selectionDefs.push(c),o){var w=a.mergedPolygons,k=p(a.dragmode);y(te(w,k),o,a)}b&&fe(t,m)}}}function H(e){return"pointNumber"in e&&"searchInfo"in e}function q(e){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(t,n,r,i){var a=e.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&r===e.pointNumber},isRect:!1,degenerate:!1,subtract:!!e.subtract}}function V(e){if(e.length){for(var t=[],n=H(e[0])?0:e[0][0][0],r=n,i=H(e[0])?0:e[0][0][1],a=i,o=0;o<e.length;o++)if(H(e[o]))t.push(q(e[o]));else{var s=I(e[o]);s.subtract=!!e[o].subtract,t.push(s),n=Math.min(n,s.xmin),r=Math.max(r,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:n,xmax:r,ymin:i,ymax:a,pts:[],contains:function(e,n,r,i){for(var a=!1,o=0;o<t.length;o++)t[o].contains(e,n,r,i)&&(a=!t[o].subtract);return a},isRect:!1,degenerate:!1}}}function W(e,t,n){var r=t._fullLayout,i=n.plotinfo,a=n.dragmode,o=r._lastSelectedSubplot&&r._lastSelectedSubplot===i.id,s=(e.shiftKey||e.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!n.selectionDefs?(n.selectionDefs=i.selection.selectionDefs,n.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||G(n),o||(b(t),r._lastSelectedSubplot=i.id)}function G(e,t){var n=e.dragmode,r=e.plotinfo,i=e.gd;(function(e){return e._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(e){return e._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=h(n),l=m(n);if(s||l){var c,u,f=o.selectAll(".select-outline-"+r.id);if(f&&i._fullLayout._outlining)s&&(c=w(f,e)),c&&a.call("_guiRelayout",i,{shapes:c}),l&&!U(e)&&(u=k(f,e)),u&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:u}).then((function(){t&&E(i)}))),i._fullLayout._outlining=!1}r.selection={},r.selection.selectionDefs=e.selectionDefs=[],r.selection.mergedPolygons=e.mergedPolygons=[]}function Y(e){return e._id}function X(e,t,n,r){if(!e.calcdata)return[];var i,a,o,s=[],l=t.map(Y),c=n.map(Y);for(o=0;o<e.calcdata.length;o++)if(!0===(a=(i=e.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:r})||a.subplot!==r&&a.geo!==r)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=K(a._module,i,t[0],n[0]);u.scene=e._fullLayout._splomScenes[a.uid],s.push(u)}}else if("sankey"===a.type){var 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u=l[c],f=u.data,d=u.fullData,h=u.pointIndex,p=u.pointIndices;p?([].push.apply(f.selectedpoints,p),i._fullInput!==i&&[].push.apply(d.selectedpoints,p)):(f.selectedpoints.push(h),i._fullInput!==i&&d.selectedpoints.push(h))}}else for(r=0;r<t.length;r++)delete(i=t[r].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(e,t){for(var n=!1,r=0;r<t.length;r++){var i=t[r],o=i.cd;a.traceIs(o[0].trace,"regl")&&(n=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(e,o,o[0].node3),o[0].nodeRangePlot3&&l(e,o,o[0].nodeRangePlot3))}n&&(N(e),R(e))}(e,t)}function Q(e,t,n){for(var i=(n?r.difference:r.union)({regions:e},{regions:[t]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=se(o,i.slice(0,a))}return i}function ee(e,t){if(Array.isArray(e))for(var n=t.cd,r=t.cd[0].trace,i=0;i<e.length;i++)e[i]=c(e[i],r,n);return e}function te(e,t){for(var n=[],r=0;r<e.length;r++){n[r]=[];for(var 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r=t[n][0].trace,i=e._fullLayout._splomScenes;if(i){var a=i[r.uid];a&&(a.selectBatch=[])}}}(e);for(var R={},L=0;L<N.length;L++){var P=N[L],D=P.indexOf("y"),I=P.slice(0,D),j=P.slice(D),F=o&&s?n:void 0;if(F=ae(f,I,j,F)){var z=r;if(!l){var B=C(e,I,"x"),U=C(e,j,"y");z=X(e,[B],[U],P);for(var $=0;$<z.length;$++){var H=z[$],q=H.cd[0],V=q.trace;if("scattergl"===H._module.name&&!q.t.xpx){var W=V.x,G=V.y,Y=V._length;q.t.xpx=[],q.t.ypx=[];for(var K=0;K<Y;K++)q.t.xpx[K]=B.c2p(W[K]),q.t.ypx[K]=U.c2p(G[K])}"splom"===H._module.name&&(R[V.uid]||(R[V.uid]=!0))}}var Z=ne(F,z);c=c.concat(Z),u=u.concat(z)}}var Q={points:c};J(e,u,Q);var ee=d.clickmode.indexOf("event")>-1&&t;if(!a&&t){var te=oe(e,!0);if(te.length){var re=te[0].xref,he=te[0].yref;if(re&&he){var pe=ce(te);ue([C(e,re,"x"),C(e,he,"y")])(Q,pe)}}e._fullLayout._noEmitSelectedAtStart?e._fullLayout._noEmitSelectedAtStart=!1:ee&&fe(e,Q),d._reselect=!1}if(!a&&d._deselect){var me=d._deselect;(function(e,t,n){for(var r=0;r<n.length;r++){var 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w=s.path.split("Z"),k=[],E=0;E<w.length;E++){var T=w[E];if(T){T+="Z";var M=g.extractPathCoords(T,v.paramIsX,"raw"),S=g.extractPathCoords(T,v.paramIsY,"raw");l=1/0,c=-1/0,u=1/0,f=-1/0,d=[];for(var O=0;O<M.length;O++){var N=le(m,M[O]),R=le(y,S[O]);d.push([N,R]),l=Math.min(N,l),c=Math.max(N,c),u=Math.min(R,u),f=Math.max(R,f)}d.xmin=l,d.xmax=c,d.ymin=u,d.ymax=f,d.xref=h,d.yref=p,d.subtract=se(d,k),k.push(d),n.push(d)}}}}return n}function se(e,t){for(var n=!1,r=0;r<t.length;r++)for(var a=t[r],o=0;o<e.length;o++)if(i(e[o],a)){n=!n;break}return n}function le(e,t){return"date"===e.type&&(t=t.replace("_"," ")),"log"===e.type?e.c2p(t):e.r2p(t,null,e.calendar)}function ce(e){for(var t=e.length,n=[],r=0;r<t;r++){var i=e[r];n=(n=n.concat(i)).concat([i[0]])}return 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Oe=function(e){var t=e.plotinfo;return t.fillRangeItems||ue(e.xaxes.concat(e.yaxes))}(r);r.moveFn=function(e,t){r._clearSubplotSelections&&(r._clearSubplotSelections(),r._clearSubplotSelections=void 0),le=Math.max(0,Math.min(ve,oe*e+j)),he=Math.max(0,Math.min(ye,se*t+F));var n=Math.abs(le-j),i=Math.abs(he-F);if(g){var a,o,s;if(x){var l=E.selectdirection;switch(a="any"===l?i<Math.min(.6*n,P)?"h":n<Math.min(.6*i,P)?"v":"d":l){case"h":o=A?ye/2:0,s=ye;break;case"v":o=A?ve/2:0,s=ve}}if(b)switch(E.newshape.drawdirection){case"vertical":a="h",o=A?ye/2:0,s=ye;break;case"horizontal":a="v",o=A?ve/2:0,s=ve;break;case"ortho":n<i?(a="h",o=F,s=he):(a="v",o=j,s=le);break;default:a="d"}"h"===a?((K=w?_(A,[le,o],[le,s]):[[j,o],[j,s],[le,s],[le,o]]).xmin=w?le:Math.min(j,le),K.xmax=w?le:Math.max(j,le),K.ymin=Math.min(o,s),K.ymax=Math.max(o,s),ke.attr("d","M"+K.xmin+","+(F-P)+"h-4v"+2*P+"h4ZM"+(K.xmax-1)+","+(F-P)+"h4v"+2*P+"h-4Z")):"v"===a?((K=w?_(A,[o,he],[s,he]):[[o,F],[o,he],[s,he],[s,F]]).xmin=Math.min(o,s),K.xmax=Math.max(o,s),K.ymin=w?he:Math.min(F,he),K.ymax=w?he:Math.max(F,he),ke.attr("d","M"+(j-P)+","+K.ymin+"v-4h"+2*P+"v4ZM"+(j-P)+","+(K.ymax-1)+"v4h"+2*P+"v-4Z")):"d"===a&&((K=w?_(A,[j,F],[le,he]):[[j,F],[j,he],[le,he],[le,F]]).xmin=Math.min(j,le),K.xmax=Math.max(j,le),K.ymin=Math.min(F,he),K.ymax=Math.max(F,he),ke.attr("d","M0,0Z"))}else u&&(H.addPt([le,he]),K=H.filtered);if(r.selectionDefs&&r.selectionDefs.length?(Y=Q(r.mergedPolygons,K,be),K.subtract=be,q=V(r.selectionDefs.concat([K]))):(Y=[K],q=I(K)),y(te(Y,v),xe,r),x){var c,f=re(k,!1),d=f.eventData?f.eventData.points.slice():[];f=re(k,!1,q,Se,r),q=f.selectionTesters,ae=f.eventData,c=H?H.filtered:ce(Y),O.throttle(Te,L.SELECTDELAY,(function(){for(var e=(Me=ne(q,Se)).slice(),t=0;t<d.length;t++){for(var n=d[t],r=!1,i=0;i<e.length;i++)if(e[i].curveNumber===n.curveNumber&&e[i].pointNumber===n.pointNumber){r=!0;break}r||e.push(n)}e.length&&(ae||(ae={}),ae.points=e),Oe(ae,c),function(e,t){e.emit("plotly_selecting",t)}(k,ae)}))}},r.clickFn=function(e,t){if(ke.remove(),k._fullLayout._activeShapeIndex>=0)k._fullLayout._deactivateShape(k);else if(!b){var n=E.clickmode;O.done(Te).then((function(){if(O.clear(Te),2===e){for(xe.remove(),Z=0;Z<Se.length;Z++)(ee=Se[Z])._module.selectPoints(ee,!1);if(J(k,Se),G(r),de(k),Se.length){var i=Se[0].xaxis,o=Se[0].yaxis;if(i&&o){for(var s=[],c=k._fullLayout.selections,u=0;u<c.length;u++){var f=c[u];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<c.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",k,{selections:s}))}}}else n.indexOf("select")>-1&&$(t,k,r.xaxes,r.yaxes,r.subplot,r,xe),"event"===n&&fe(k,void 0);l.click(k,t,N.id)})).catch(T.error)}},r.doneFn=function(){ke.remove(),O.done(Te).then((function(){O.clear(Te),!M&&K&&r.selectionDefs&&(K.subtract=be,r.selectionDefs.push(K),r.mergedPolygons.length=0,[].push.apply(r.mergedPolygons,Y)),(M||b)&&G(r,M),r.doneFnCompleted&&r.doneFnCompleted(Me),x&&fe(k,ae)})).catch(T.error)}},clearOutline:b,clearSelectionsCache:G,selectOnClick:$}},56087:(e,t,n)=>{"use strict";var r=n(2563),i=n(45436),a=n(24929).line,o=n(43151).T,s=n(62134).extendFlat,l=n(60131).templatedArray,c=n(47838),u=n(37510),f=n(80009).LF,d=n(57132);e.exports=l("shape",{visible:s({},u.visible,{editType:"calc+arraydraw",description:["Determines whether or not this shape is visible.","If *legendonly*, the shape is not drawn,","but can appear as a legend item","(provided that the legend itself is visible)."].join(" ")}),showlegend:{valType:"boolean",dflt:!1,editType:"calc+arraydraw",description:["Determines whether or not this","shape is shown in the legend."].join(" ")},legend:s({},u.legend,{editType:"calc+arraydraw",description:["Sets the reference to a legend to show this shape in.","References to these legends are *legend*, *legend2*, *legend3*, etc.","Settings for these legends are set in the layout, under","`layout.legend`, `layout.legend2`, etc."].join(" ")}),legendgroup:s({},u.legendgroup,{editType:"calc+arraydraw",description:["Sets the legend group for this shape.","Traces and shapes part of the same legend group hide/show at the same time","when toggling legend items."].join(" ")}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:"calc+arraydraw"}),font:i({editType:"calc+arraydraw",description:["Sets this legend group's title font."].join(" ")}),editType:"calc+arraydraw"},legendrank:s({},u.legendrank,{editType:"calc+arraydraw",description:["Sets the legend rank for this shape.","Items and groups with smaller ranks are presented on top/left side while","with *reversed* `legend.traceorder` they are on bottom/right side.","The default legendrank is 1000,","so that you can use ranks less than 1000 to place certain items before all unranked items,","and ranks greater than 1000 to go after all unranked items.","When having unranked or equal rank items shapes would be displayed after traces","i.e. according to their order in data and layout."].join(" ")}),legendwidth:s({},u.legendwidth,{editType:"calc+arraydraw",description:"Sets the width (in px or fraction) of the legend for this shape."}),type:{valType:"enumerated",values:["circle","rect","path","line"],editType:"calc+arraydraw",description:["Specifies the shape type to be drawn.","If *line*, a line is drawn from (`x0`,`y0`) to (`x1`,`y1`)","with respect to the axes' sizing mode.","If *circle*, a circle is drawn from","((`x0`+`x1`)/2, (`y0`+`y1`)/2))","with radius","(|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|)","with respect to the axes' sizing mode.","If *rect*, a rectangle is drawn linking","(`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`)","with respect to the axes' sizing mode.","If *path*, draw a custom SVG path using `path`.","with respect to the axes' sizing mode."].join(" ")},layer:{valType:"enumerated",values:["below","above","between"],dflt:"above",editType:"arraydraw",description:["Specifies whether shapes are drawn below gridlines (*below*),","between gridlines and traces (*between*) or above traces (*above*)."].join(" ")},xref:s({},r.xref,{description:["Sets the shape's x coordinate axis.",c.axisRefDescription("x","left","right")].join(" ")}),xsizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw",description:["Sets the shapes's sizing mode along the x axis.","If set to *scaled*, `x0`, `x1` and x coordinates within `path` refer to","data values on the x axis or a fraction of the plot area's width","(`xref` set to *paper*).","If set to *pixel*, `xanchor` specifies the x position in terms","of data or plot fraction but `x0`, `x1` and x coordinates within `path`","are pixels relative to `xanchor`. This way, the shape can have","a fixed width while maintaining a position relative to data or","plot fraction."].join(" ")},xanchor:{valType:"any",editType:"calc+arraydraw",description:["Only relevant in conjunction with `xsizemode` set to *pixel*.","Specifies the anchor point on the x axis to which `x0`, `x1`","and x coordinates within `path` are relative to.","E.g. useful to attach a pixel sized shape to a certain data value.","No effect when `xsizemode` not set to *pixel*."].join(" ")},x0:{valType:"any",editType:"calc+arraydraw",description:["Sets the shape's starting x position.","See `type` and `xsizemode` for more info."].join(" ")},x1:{valType:"any",editType:"calc+arraydraw",description:["Sets the shape's end x position.","See `type` and `xsizemode` for more info."].join(" ")},yref:s({},r.yref,{description:["Sets the shape's y coordinate axis.",c.axisRefDescription("y","bottom","top")].join(" ")}),ysizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw",description:["Sets the shapes's sizing mode along the y axis.","If set to *scaled*, `y0`, `y1` and y coordinates within `path` refer to","data values on the y axis or a fraction of the plot area's height","(`yref` set to *paper*).","If set to *pixel*, `yanchor` specifies the y position in terms","of data or plot fraction but `y0`, `y1` and y coordinates within `path`","are pixels relative to `yanchor`. This way, the shape can have","a fixed height while maintaining a position relative to data or","plot fraction."].join(" ")},yanchor:{valType:"any",editType:"calc+arraydraw",description:["Only relevant in conjunction with `ysizemode` set to *pixel*.","Specifies the anchor point on the y axis to which `y0`, `y1`","and y coordinates within `path` are relative to.","E.g. useful to attach a pixel sized shape to a certain data value.","No effect when `ysizemode` not set to *pixel*."].join(" ")},y0:{valType:"any",editType:"calc+arraydraw",description:["Sets the shape's starting y position.","See `type` and `ysizemode` for more info."].join(" ")},y1:{valType:"any",editType:"calc+arraydraw",description:["Sets the shape's end y position.","See `type` and `ysizemode` for more info."].join(" ")},path:{valType:"string",editType:"calc+arraydraw",description:["For `type` *path* - a valid SVG path with the pixel values","replaced by data values in `xsizemode`/`ysizemode` being *scaled*","and taken unmodified as pixels relative to `xanchor` and `yanchor`","in case of *pixel* size mode.","There are a few restrictions / quirks","only absolute instructions, not relative. So the allowed segments","are: M, L, H, V, Q, C, T, S, and Z","arcs (A) are not allowed because radius rx and ry are relative.","In the future we could consider supporting relative commands,","but we would have to decide on how to handle date and log axes.","Note that even as is, Q and C Bezier paths that are smooth on","linear axes may not be smooth on log, and vice versa.",'no chained "polybezier" commands - specify the segment type for',"each one.","On category axes, values are numbers scaled to the serial numbers","of categories because using the categories themselves there would","be no way to describe fractional positions","On data axes: because space and T are both normal components of path","strings, we can't use either to separate date from time parts.","Therefore we'll use underscore for this purpose:","2015-02-21_13:45:56.789"].join(" ")},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw",description:"Sets the opacity of the shape."},line:{color:s({},a.color,{editType:"arraydraw"}),width:s({},a.width,{editType:"calc+arraydraw"}),dash:s({},o,{editType:"arraydraw"}),editType:"calc+arraydraw"},fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw",description:["Sets the color filling the shape's interior. Only applies to closed shapes."].join(" ")},fillrule:{valType:"enumerated",values:["evenodd","nonzero"],dflt:"evenodd",editType:"arraydraw",description:["Determines which regions of complex paths constitute the interior.","For more info please visit https://developer.mozilla.org/en-US/docs/Web/SVG/Attribute/fill-rule"].join(" ")},editable:{valType:"boolean",dflt:!1,editType:"calc+arraydraw",description:["Determines whether the shape could be activated for edit or not.","Has no effect when the older editable shapes mode is enabled via","`config.editable` or `config.edits.shapePosition`."].join(" ")},label:{text:{valType:"string",dflt:"",editType:"arraydraw",description:["Sets the text to display with shape.","It is also used for legend item if `name` is not provided."].join(" ")},texttemplate:f({},{keys:Object.keys(d)}),font:i({editType:"calc+arraydraw",colorEditType:"arraydraw",description:"Sets the shape label text font."}),textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right","start","middle","end"],editType:"arraydraw",description:["Sets the position of the label text relative to the shape.","Supported values for rectangles, circles and paths are","*top left*, *top center*, *top right*, *middle left*,","*middle center*, *middle right*, *bottom left*, *bottom center*,","and *bottom right*.","Supported values for lines are *start*, *middle*, and *end*.","Default: *middle center* for rectangles, circles, and paths; *middle* for lines."].join(" ")},textangle:{valType:"angle",dflt:"auto",editType:"calc+arraydraw",description:["Sets the angle at which the label text is drawn","with respect to the horizontal. For lines, angle *auto*","is the same angle as the line. For all other shapes,","angle *auto* is horizontal."].join(" ")},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"auto",editType:"calc+arraydraw",description:["Sets the label's horizontal position anchor","This anchor binds the specified `textposition` to the *left*, *center*","or *right* of the label text.","For example, if `textposition` is set to *top right* and","`xanchor` to *right* then the right-most portion of the","label text lines up with the right-most edge of the","shape."].join(" ")},yanchor:{valType:"enumerated",values:["top","middle","bottom"],editType:"calc+arraydraw",description:["Sets the label's vertical position anchor","This anchor binds the specified `textposition` to the *top*, *middle*","or *bottom* of the label text.","For example, if `textposition` is set to *top right* and","`yanchor` to *top* then the top-most portion of the","label text lines up with the top-most edge of the","shape."].join(" ")},padding:{valType:"number",dflt:3,min:0,editType:"arraydraw",description:"Sets padding (in px) between edge of label and edge of shape."},editType:"arraydraw"},editType:"arraydraw"})},70176:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(55969),o=n(30137);function s(e){return c(e.line.width,e.xsizemode,e.x0,e.x1,e.path,!1)}function l(e){return c(e.line.width,e.ysizemode,e.y0,e.y1,e.path,!0)}function c(e,t,n,i,s,l){var c=e/2,u=l;if("pixel"===t){var f=s?o.extractPathCoords(s,l?a.paramIsY:a.paramIsX):[n,i],d=r.aggNums(Math.max,null,f),h=r.aggNums(Math.min,null,f),p=h<0?Math.abs(h)+c:c,m=d>0?d+c:c;return{ppad:c,ppadplus:u?p:m,ppadminus:u?m:p}}return{ppad:c}}function u(e,t,n,r,i){var s="category"===e.type||"multicategory"===e.type?e.r2c:e.d2c;if(void 0!==t)return[s(t),s(n)];if(r){var l,c,u,f,d=1/0,h=-1/0,p=r.match(a.segmentRE);for("date"===e.type&&(s=o.decodeDate(s)),l=0;l<p.length;l++)void 0!==(c=i[p[l].charAt(0)].drawn)&&(!(u=p[l].substr(1).match(a.paramRE))||u.length<c||((f=s(u[c]))<d&&(d=f),f>h&&(h=f)));return h>=d?[d,h]:void 0}}e.exports=function(e){var t=e._fullLayout,n=r.filterVisible(t.shapes);if(n.length&&e._fullData.length)for(var o=0;o<n.length;o++){var c,f,d=n[o];d._extremes={};var h=i.getRefType(d.xref),p=i.getRefType(d.yref);if("paper"!==d.xref&&"domain"!==h){var m="pixel"===d.xsizemode?d.xanchor:d.x0,g="pixel"===d.xsizemode?d.xanchor:d.x1;(f=u(c=i.getFromId(e,d.xref),m,g,d.path,a.paramIsX))&&(d._extremes[c._id]=i.findExtremes(c,f,s(d)))}if("paper"!==d.yref&&"domain"!==p){var v="pixel"===d.ysizemode?d.yanchor:d.y0,y="pixel"===d.ysizemode?d.yanchor:d.y1;(f=u(c=i.getFromId(e,d.yref),v,y,d.path,a.paramIsY))&&(d._extremes[c._id]=i.findExtremes(c,f,l(d)))}}}},55969:e=>{"use strict";e.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},37200:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(86243),o=n(56087),s=n(30137);function l(e,t,n){function a(n,i){return r.coerce(e,t,o,n,i)}if(t._isShape=!0,a("visible")){a("showlegend")&&(a("legend"),a("legendwidth"),a("legendgroup"),a("legendgrouptitle.text"),r.coerceFont(a,"legendgrouptitle.font"),a("legendrank"));var l=a("path"),c=a("type",l?"path":"rect"),u="path"!==c;u&&delete t.path,a("editable"),a("layer"),a("opacity"),a("fillcolor"),a("fillrule"),a("line.width")&&(a("line.color"),a("line.dash"));for(var f=a("xsizemode"),d=a("ysizemode"),h=["x","y"],p=0;p<2;p++){var m,g,v,y=h[p],b=y+"anchor",x="x"===y?f:d,_={_fullLayout:n},A=i.coerceRef(e,t,_,y,void 0,"paper");if("range"===i.getRefType(A)?((m=i.getFromId(_,A))._shapeIndices.push(t._index),v=s.rangeToShapePosition(m),g=s.shapePositionToRange(m)):g=v=r.identity,u){var w=y+"0",k=y+"1",E=e[w],T=e[k];e[w]=g(e[w],!0),e[k]=g(e[k],!0),"pixel"===x?(a(w,0),a(k,10)):(i.coercePosition(t,_,a,A,w,.25),i.coercePosition(t,_,a,A,k,.75)),t[w]=v(t[w]),t[k]=v(t[k]),e[w]=E,e[k]=T}if("pixel"===x){var M=e[b];e[b]=g(e[b],!0),i.coercePosition(t,_,a,A,b,.25),t[b]=v(t[b]),e[b]=M}}u&&r.noneOrAll(e,t,["x0","x1","y0","y1"]);var S,O,C="line"===c;if(u&&(S=a("label.texttemplate")),S||(O=a("label.text")),O||S){a("label.textangle");var N=a("label.textposition",C?"middle":"middle center");a("label.xanchor"),a("label.yanchor",function(e,t){return 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")},drawdirection:{valType:"enumerated",values:["ortho","horizontal","vertical","diagonal"],dflt:"diagonal",description:["When `dragmode` is set to *drawrect*, *drawline* or *drawcircle*","this limits the drag to be horizontal, vertical or diagonal.","Using *diagonal* there is no limit e.g. in drawing lines in any direction.","*ortho* limits the draw to be either horizontal or vertical.","*horizontal* allows horizontal extend.","*vertical* allows vertical extend."].join(" ")},name:s({},i.name,{description:["Sets new shape name.","The name appears as the legend item."].join(" ")}),label:{text:{valType:"string",dflt:"",description:["Sets the text to display with the new shape.","It is also used for legend item if `name` is not provided."].join(" ")},texttemplate:l({newshape:!0},{keys:Object.keys(c)}),font:a({description:"Sets the new shape label text font."}),textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle 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a=(e||{}).plot_bgcolor||"#FFF";n("newshape.line.color",r.contrast(a)),n("newshape.line.dash")}var o="drawline"===e.dragmode,s=n("newshape.label.text"),l=n("newshape.label.texttemplate");if(s||l){n("newshape.label.textangle");var c=n("newshape.label.textposition",o?"middle":"middle center");n("newshape.label.xanchor"),n("newshape.label.yanchor",function(e,t){return e?"bottom":-1!==t.indexOf("top")?"top":-1!==t.indexOf("bottom")?"bottom":"middle"}(o,c)),n("newshape.label.padding"),i.coerceFont(n,"newshape.label.font",t.font)}n("activeshape.fillcolor"),n("activeshape.opacity")}},56862:(e,t,n)=>{"use strict";var r=n(40676),i=n(65394),a=i.CIRCLE_SIDES,o=i.SQRT2,s=n(91584),l=s.p2r,c=s.r2p,u=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function d(e,t){return Math.abs(e-t)<=1e-6}function h(e,t){var n=t[1]-e[1],r=t[2]-e[2];return Math.sqrt(n*n+r*r)}t.writePaths=function(e){var t=e.length;if(!t)return"M0,0Z";for(var n="",r=0;r<t;r++)for(var i=e[r].length,a=0;a<i;a++){var o=e[r][a][0];if("Z"===o)n+="Z";else for(var s=e[r][a].length,l=0;l<s;l++){var c=l;"Q"===o||"S"===o?c=f[l]:"C"===o&&(c=u[l]),n+=e[r][a][c],l>0&&l<s-1&&(n+=",")}}return n},t.readPaths=function(e,t,n,i){var o,s,u,f=r(e),d=[],h=-1,p=0,m=0,g=function(){s=p,u=m};g();for(var v=0;v<f.length;v++){var y,b,x,_,A=[],w=f[v][0],k=w;switch(w){case"M":h++,d[h]=[],p=+f[v][1],m=+f[v][2],A.push([k,p,m]),g();break;case"Q":case"S":y=+f[v][1],x=+f[v][2],p=+f[v][3],m=+f[v][4],A.push([k,p,m,y,x]);break;case"C":y=+f[v][1],x=+f[v][2],b=+f[v][3],_=+f[v][4],p=+f[v][5],m=+f[v][6],A.push([k,p,m,y,x,b,_]);break;case"T":case"L":p=+f[v][1],m=+f[v][2],A.push([k,p,m]);break;case"H":k="L",p=+f[v][1],A.push([k,p,m]);break;case"V":k="L",m=+f[v][1],A.push([k,p,m]);break;case"A":k="L";var E=+f[v][1],T=+f[v][2];+f[v][4]||(E=-E,T=-T);var M=p-E,S=m;for(o=1;o<=a/2;o++){var O=2*Math.PI*o/a;A.push([k,M+E*Math.cos(O),S+T*Math.sin(O)])}break;case"Z":p===s&&m===u||(p=s,m=u,A.push([k,p,m]))}for(var 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r=(2*t-n)%t,i=(t/2+r)%t,o=(t/2+n)%t;if(!d(h(e[n],e[o]),h(e[r],e[i])))return!1}return!0},t.handleEllipse=function(e,n,r){if(!e)return[n,r];var i=t.ellipseOver({x0:n[0],y0:n[1],x1:r[0],y1:r[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,c=(i.x1-i.x0)/2,u=(i.y1-i.y0)/2;c||(c=u/=o),u||(u=c/=o);for(var f=[],d=0;d<a;d++){var h=2*d*Math.PI/a;f.push([s+c*Math.cos(h),l+u*Math.sin(h)])}return f},t.ellipseOver=function(e){var t=e.x0,n=e.y0,r=e.x1,i=e.y1,a=r-t,s=i-n,l=((t-=a)+r)/2,c=((n-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},t.fixDatesForPaths=function(e,t,n){var r="date"===t.type,i="date"===n.type;if(!r&&!i)return e;for(var a=0;a<e.length;a++)for(var o=0;o<e[a].length;o++)for(var s=0;s+2<e[a][o].length;s+=2)r&&(e[a][o][s+1]=e[a][o][s+1].replace(" ","_")),i&&(e[a][o][s+2]=e[a][o][s+2].replace(" ","_"));return e}},48019:(e,t,n)=>{"use strict";var r=n(34321),i=r.drawMode,a=r.openMode,o=n(65394),s=o.i000,l=o.i090,c=o.i180,u=o.i270,f=o.cos45,d=o.sin45,h=n(91584),p=h.p2r,m=h.r2p,g=n(79409).clearOutline,v=n(56862),y=v.readPaths,b=v.writePaths,x=v.ellipseOver,_=v.fixDatesForPaths;function A(e,t,n){var r,i=e[0][0],o=t.gd,h=i.getAttribute("d"),g=o._fullLayout.newshape,v=t.plotinfo,A=t.isActiveShape,w=v.xaxis,k=v.yaxis,E=!!v.domain||!v.xaxis,T=!!v.domain||!v.yaxis,M=a(n),S=y(h,o,v,A),O={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:E?"paper":w._id,yref:T?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(M||(O.fillcolor=g.fillcolor,O.fillrule=g.fillrule),1===S.length&&(r=S[0]),r&&5===r.length&&"drawrect"===n)O.type="rect",O.x0=r[0][1],O.y0=r[0][2],O.x1=r[2][1],O.y1=r[2][2];else if(r&&"drawline"===n)O.type="line",O.x0=r[0][1],O.y0=r[0][2],O.x1=r[1][1],O.y1=r[1][2];else if(r&&"drawcircle"===n){O.type="circle";var C=r[s][1],N=r[l][1],R=r[c][1],L=r[u][1],P=r[s][2],D=r[l][2],I=r[c][2],j=r[u][2],F=v.xaxis&&("date"===v.xaxis.type||"log"===v.xaxis.type),z=v.yaxis&&("date"===v.yaxis.type||"log"===v.yaxis.type);F&&(C=m(v.xaxis,C),N=m(v.xaxis,N),R=m(v.xaxis,R),L=m(v.xaxis,L)),z&&(P=m(v.yaxis,P),D=m(v.yaxis,D),I=m(v.yaxis,I),j=m(v.yaxis,j));var B=(N+L)/2,U=(P+I)/2,$=x({x0:B,y0:U,x1:B+(L-N+R-C)/2*f,y1:U+(j-D+I-P)/2*d});F&&($.x0=p(v.xaxis,$.x0),$.x1=p(v.xaxis,$.x1)),z&&($.y0=p(v.yaxis,$.y0),$.y1=p(v.yaxis,$.y1)),O.x0=$.x0,O.y0=$.y0,O.x1=$.x1,O.y1=$.y1}else O.type="path",w&&k&&_(S,w,k),O.path=b(S),r=null;return O}e.exports={newShapes:function(e,t){if(e.length&&e[0][0]){var n=t.gd,r=t.isActiveShape,a=t.dragmode,o=(n.layout||{}).shapes||[];if(!i(a)&&void 0!==r){var s=n._fullLayout._activeShapeIndex;if(s<o.length)switch(n._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var c=A(e,t,a);g(n);for(var u=t.editHelpers,f=(u||{}).modifyItem,d=[],h=0;h<o.length;h++){var p=n._fullLayout.shapes[h];if(d[h]=p._input,void 0!==r&&h===n._fullLayout._activeShapeIndex){var m=c;switch(p.type){case"line":case"rect":case"circle":f("x0",m.x0),f("x1",m.x1),f("y0",m.y0),f("y1",m.y1);break;case"path":f("path",m.path)}}}return void 0===r?(d.push(c),d):u?u.getUpdateObj():{}}},createShapeObj:A}},79409:e=>{"use strict";e.exports={clearOutlineControllers:function(e){var t=e._fullLayout._zoomlayer;t&&t.selectAll(".outline-controllers").remove()},clearOutline:function(e){var t=e._fullLayout._zoomlayer;t&&t.selectAll(".select-outline").remove(),e._fullLayout._outlining=!1}}},30137:(e,t,n)=>{"use strict";var r=n(55969),i=n(14932),a=n(70465);t.rangeToShapePosition=function(e){return"log"===e.type?e.r2d:function(e){return e}},t.shapePositionToRange=function(e){return"log"===e.type?e.d2r:function(e){return e}},t.decodeDate=function(e){return function(t){return t.replace&&(t=t.replace("_"," ")),e(t)}},t.encodeDate=function(e){return function(t){return e(t).replace(" ","_")}},t.extractPathCoords=function(e,t,n){var a=[];return e.match(r.segmentRE).forEach((function(e){var o=t[e.charAt(0)].drawn;if(void 0!==o){var s=e.substr(1).match(r.paramRE);if(s&&!(s.length<o)){var l=s[o],c=n?l:i.cleanNumber(l);a.push(c)}}})),a},t.getDataToPixel=function(e,n,r,i){var a,o=e._fullLayout._size;if(n)if("domain"===i)a=function(e){return n._length*(r?1-e:e)+n._offset};else{var s=t.shapePositionToRange(n);a=function(e){return n._offset+n.r2p(s(e,!0))},"date"===n.type&&(a=t.decodeDate(a))}else a=r?function(e){return o.t+o.h*(1-e)}:function(e){return o.l+o.w*e};return a},t.getPixelToData=function(e,n,r,i){var a,o=e._fullLayout._size;if(n)if("domain"===i)a=function(e){var t=(e-n._offset)/n._length;return r?1-t:t};else{var s=t.rangeToShapePosition(n);a=function(e){return s(n.p2r(e-n._offset))}}else a=r?function(e){return 1-(e-o.t)/o.h}:function(e){return(e-o.l)/o.w};return a},t.roundPositionForSharpStrokeRendering=function(e,t){var n=1===Math.round(t%2),r=Math.round(e);return n?r+.5:r},t.makeShapesOptionsAndPlotinfo=function(e,t){var n=e._fullLayout.shapes[t]||{},r=e._fullLayout._plots[n.xref+n.yref];return!!r?r._hadPlotinfo=!0:(r={},n.xref&&"paper"!==n.xref&&(r.xaxis=e._fullLayout[n.xref+"axis"]),n.yref&&"paper"!==n.yref&&(r.yaxis=e._fullLayout[n.yref+"axis"])),r.xsizemode=n.xsizemode,r.ysizemode=n.ysizemode,r.xanchor=n.xanchor,r.yanchor=n.yanchor,{options:n,plotinfo:r}},t.makeSelectionsOptionsAndPlotinfo=function(e,t){var n=e._fullLayout.selections[t]||{},r=e._fullLayout._plots[n.xref+n.yref];return!!r?r._hadPlotinfo=!0:(r={},n.xref&&(r.xaxis=e._fullLayout[n.xref+"axis"]),n.yref&&(r.yaxis=e._fullLayout[n.yref+"axis"])),{options:n,plotinfo:r}},t.getPathString=function(e,n){var o,s,l,c,u,f,d,h,p=n.type,m=a.getRefType(n.xref),g=a.getRefType(n.yref),v=a.getFromId(e,n.xref),y=a.getFromId(e,n.yref),b=e._fullLayout._size;if(v?"domain"===m?s=function(e){return v._offset+v._length*e}:(o=t.shapePositionToRange(v),s=function(e){return v._offset+v.r2p(o(e,!0))}):s=function(e){return b.l+b.w*e},y?"domain"===g?c=function(e){return y._offset+y._length*(1-e)}:(l=t.shapePositionToRange(y),c=function(e){return y._offset+y.r2p(l(e,!0))}):c=function(e){return b.t+b.h*(1-e)},"path"===p)return v&&"date"===v.type&&(s=t.decodeDate(s)),y&&"date"===y.type&&(c=t.decodeDate(c)),function(e,t,n){var a=e.path,o=e.xsizemode,s=e.ysizemode,l=e.xanchor,c=e.yanchor;return a.replace(r.segmentRE,(function(e){var a=0,u=e.charAt(0),f=r.paramIsX[u],d=r.paramIsY[u],h=r.numParams[u],p=e.substr(1).replace(r.paramRE,(function(e){return f[a]?e="pixel"===o?t(l)+Number(e):t(e):d[a]&&(e="pixel"===s?n(c)-Number(e):n(e)),++a>h&&(e="X"),e}));return a>h&&(p=p.replace(/[\s,]*X.*/,""),i.log("Ignoring extra params in segment "+e)),u+p}))}(n,s,c);if("pixel"===n.xsizemode){var x=s(n.xanchor);u=x+n.x0,f=x+n.x1}else u=s(n.x0),f=s(n.x1);if("pixel"===n.ysizemode){var _=c(n.yanchor);d=_-n.y0,h=_-n.y1}else d=c(n.y0),h=c(n.y1);if("line"===p)return"M"+u+","+d+"L"+f+","+h;if("rect"===p)return"M"+u+","+d+"H"+f+"V"+h+"H"+u+"Z";var A=(u+f)/2,w=(d+h)/2,k=Math.abs(A-u),E=Math.abs(w-d),T="A"+k+","+E,M=A+k+","+w;return"M"+M+T+" 0 1,1 "+(A+","+(w-E))+T+" 0 0,1 "+M+"Z"}},74044:(e,t,n)=>{"use strict";var r=n(4548);e.exports={moduleType:"component",name:"shapes",layoutAttributes:n(56087),supplyLayoutDefaults:n(37200),supplyDrawNewShapeDefaults:n(73113),includeBasePlot:n(45693)("shapes"),calcAutorange:n(70176),draw:r.draw,drawOne:r.drawOne}},57132:e=>{"use strict";function t(e,t){return t?t.d2l(e):e}function n(e,t){return t?t.l2d(e):e}function r(e,n){return t(e.x1,n)-t(e.x0,n)}function i(e,n,r){return t(e.y1,r)-t(e.y0,r)}e.exports={x0:function(e){return e.x0},x1:function(e){return e.x1},y0:function(e){return e.y0},y1:function(e){return e.y1},slope:function(e,t,n){return"line"!==e.type?void 0:i(e,0,n)/r(e,t)},dx:r,dy:i,width:function(e,t){return Math.abs(r(e,t))},height:function(e,t,n){return Math.abs(i(e,0,n))},length:function(e,t,n){return"line"!==e.type?void 0:Math.sqrt(Math.pow(r(e,t),2)+Math.pow(i(e,0,n),2))},xcenter:function(e,r){return n((t(e.x1,r)+t(e.x0,r))/2,r)},ycenter:function(e,r,i){return n((t(e.y1,i)+t(e.y0,i))/2,i)}}},62175:(e,t,n)=>{"use strict";var r=n(45436),i=n(58708),a=n(62134).extendDeepAll,o=n(65963).overrideAll,s=n(67629),l=n(60131).templatedArray,c=n(27193),u=l("step",{visible:{valType:"boolean",dflt:!0,description:["Determines whether or not this step is included in the slider."].join(" ")},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle",description:["Sets the Plotly method to be called when the slider value is changed.","If the `skip` method is used, the API slider will function as normal","but will perform no API calls and will not bind automatically to state","updates. This may be used to create a component interface and attach to","slider events manually via JavaScript."].join(" ")},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}],description:["Sets the arguments values to be passed to the Plotly","method set in `method` on slide."].join(" ")},label:{valType:"string",description:"Sets the text label to appear on the slider"},value:{valType:"string",description:["Sets the value of the slider step, used to refer to the step programatically.","Defaults to the slider label if not provided."].join(" ")},execute:{valType:"boolean",dflt:!0,description:["When true, the API method is executed. When false, all other behaviors are the same","and command execution is skipped. This may be useful when hooking into, for example,","the `plotly_sliderchange` method and executing the API command manually without losing","the benefit of the slider automatically binding to the state of the plot through the","specification of `method` and `args`."].join(" ")}});e.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0,description:["Determines whether or not the slider is visible."].join(" ")},active:{valType:"number",min:0,dflt:0,description:["Determines which button (by index starting from 0) is","considered active."].join(" ")},steps:u,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction",description:["Determines whether this slider length","is set in units of plot *fraction* or in *pixels.","Use `len` to set the value."].join(" ")},len:{valType:"number",min:0,dflt:1,description:["Sets the length of the slider","This measure excludes the padding of both ends.","That is, the slider's length is this length minus the","padding on both ends."].join(" ")},x:{valType:"number",min:-2,max:3,dflt:0,description:"Sets the x position (in normalized coordinates) of the slider."},pad:a(i({editType:"arraydraw"}),{description:"Set the padding of the slider component along each side."},{t:{dflt:20}}),xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",description:["Sets the slider's horizontal position anchor.","This anchor binds the `x` position to the *left*, *center*","or *right* of the range selector."].join(" ")},y:{valType:"number",min:-2,max:3,dflt:0,description:"Sets the y position (in normalized coordinates) of the slider."},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top",description:["Sets the slider's vertical position anchor","This anchor binds the `y` position to the *top*, *middle*","or *bottom* of the range selector."].join(" ")},transition:{duration:{valType:"number",min:0,dflt:150,description:"Sets the duration of the slider transition"},easing:{valType:"enumerated",values:s.transition.easing.values,dflt:"cubic-in-out",description:"Sets the easing function of the slider transition"}},currentvalue:{visible:{valType:"boolean",dflt:!0,description:["Shows the currently-selected value above the slider."].join(" ")},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",description:["The alignment of the value readout relative to the length of the slider."].join(" ")},offset:{valType:"number",dflt:10,description:["The amount of space, in pixels, between the current value label","and the slider."].join(" ")},prefix:{valType:"string",description:"When currentvalue.visible is true, this sets the prefix of the label."},suffix:{valType:"string",description:"When currentvalue.visible is true, this sets the suffix of the label."},font:r({description:"Sets the font of the current value label text."})},font:r({description:"Sets the font of the slider step labels."}),activebgcolor:{valType:"color",dflt:c.gripBgActiveColor,description:["Sets the background color of the slider grip","while dragging."].join(" ")},bgcolor:{valType:"color",dflt:c.railBgColor,description:"Sets the background color of the slider."},bordercolor:{valType:"color",dflt:c.railBorderColor,description:"Sets the color of the border enclosing the slider."},borderwidth:{valType:"number",min:0,dflt:c.railBorderWidth,description:"Sets the width (in px) of the border enclosing the slider."},ticklen:{valType:"number",min:0,dflt:c.tickLength,description:"Sets the length in pixels of step tick marks"},tickcolor:{valType:"color",dflt:c.tickColor,description:"Sets the color of the border enclosing the slider."},tickwidth:{valType:"number",min:0,dflt:1,description:"Sets the tick width (in px)."},minorticklen:{valType:"number",min:0,dflt:c.minorTickLength,description:"Sets the length in pixels of minor step tick marks"}}),"arraydraw","from-root")},27193:e=>{"use strict";e.exports={name:"sliders",containerClassName:"slider-container",groupClassName:"slider-group",inputAreaClass:"slider-input-area",railRectClass:"slider-rail-rect",railTouchRectClass:"slider-rail-touch-rect",gripRectClass:"slider-grip-rect",tickRectClass:"slider-tick-rect",inputProxyClass:"slider-input-proxy",labelsClass:"slider-labels",labelGroupClass:"slider-label-group",labelClass:"slider-label",currentValueClass:"slider-current-value",railHeight:5,menuIndexAttrName:"slider-active-index",autoMarginIdRoot:"slider-",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:"#bec8d9",railBgColor:"#f8fafc",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:"#bec8d9",gripBgColor:"#f6f8fa",gripBgActiveColor:"#dbdde0",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:"#333",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:"#333",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},89624:(e,t,n)=>{"use 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d=e._fullLayout._size;u.lx=d.l+d.w*t.x,u.ly=d.t+d.h*(1-t.y),"fraction"===t.lenmode?u.outerLength=Math.round(d.w*t.len):u.outerLength=t.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-t.pad.l-t.pad.r);var h=(u.inputAreaLength-2*f.stepInset)/(t._stepCount-1),v=a+f.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(v/h)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,t.currentvalue.visible){var y=o.tester.append("g");n.each((function(e){var n=b(y,t,e.label),r=n.node()&&o.bBox(n.node())||{width:0,height:0},i=c.lineCount(n);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(r.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(r.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+t.currentvalue.offset,y.remove()}u.height=u.currentValueTotalHeight+f.tickOffset+t.ticklen+f.labelOffset+u.labelHeight+t.pad.t+t.pad.b;var x="left";s.isRightAnchor(t)&&(u.lx-=u.outerLength,x="right"),s.isCenterAnchor(t)&&(u.lx-=u.outerLength/2,x="center");var A="top";s.isBottomAnchor(t)&&(u.ly-=u.height,A="bottom"),s.isMiddleAnchor(t)&&(u.ly-=u.height/2,A="middle"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var w={y:t.y,b:u.height*m[A],t:u.height*p[A]};"fraction"===t.lenmode?(w.l=0,w.xl=t.x-t.len*p[x],w.r=0,w.xr=t.x+t.len*m[x]):(w.x=t.x,w.l=u.outerLength*p[x],w.r=u.outerLength*m[x]),i.autoMargin(e,g(t),w)}function b(e,t,n){if(t.currentvalue.visible){var r,i,a=t._dims;switch(t.currentvalue.xanchor){case"right":r=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":r=.5*a.inputAreaLength,i="middle";break;default:r=f.currentValueInset,i="left"}var l=s.ensureSingle(e,"text",f.labelClass,(function(e){e.attr({"text-anchor":i,"data-notex":1})})),u=t.currentvalue.prefix?t.currentvalue.prefix:"";if("string"==typeof n)u+=n;else{var d=t.steps[t.active].label,p=t._gd._fullLayout._meta;p&&(d=s.templateString(d,p)),u+=d}t.currentvalue.suffix&&(u+=t.currentvalue.suffix),l.call(o.font,t.currentvalue.font).text(u).call(c.convertToTspans,t._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*t.currentvalue.font.size*h;return c.positionText(l,r,g),l}}function x(e,t,n){s.ensureSingle(e,"rect",f.gripRectClass,(function(r){r.call(E,t,e,n).style("pointer-events","all")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,n.bordercolor).call(a.fill,n.bgcolor).style("stroke-width",n.borderwidth+"px")}function _(e,t,n){var r=s.ensureSingle(e,"text",f.labelClass,(function(e){e.attr({"text-anchor":"middle","data-notex":1})})),i=t.step.label,a=n._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),r.call(o.font,n.font).text(i).call(c.convertToTspans,n._gd),r}function A(e,t){var n=s.ensureSingle(e,"g",f.labelsClass),i=t._dims,a=n.selectAll("g."+f.labelGroupClass).data(i.labelSteps);a.enter().append("g").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(e){var n=r.select(this);n.call(_,e,t),o.setTranslate(n,S(t,e.fraction),f.tickOffset+t.ticklen+t.font.size*h+f.labelOffset+i.currentValueTotalHeight)}))}function w(e,t,n,r,i){var a=Math.round(r*(n._stepCount-1)),o=n._visibleSteps[a]._index;o!==n.active&&k(e,t,n,o,!0,i)}function k(e,t,n,r,a,o){var s=n.active;n.active=r,u(e.layout,f.name,n).applyUpdate("active",r);var l=n.steps[n.active];t.call(M,n,o),t.call(b,n),e.emit("plotly_sliderchange",{slider:n,step:n.steps[n.active],interaction:a,previousActive:s}),l&&l.method&&a&&(t._nextMethod?(t._nextMethod.step=l,t._nextMethod.doCallback=a,t._nextMethod.doTransition=o):(t._nextMethod={step:l,doCallback:a,doTransition:o},t._nextMethodRaf=window.requestAnimationFrame((function(){var n=t._nextMethod.step;n.method&&(n.execute&&i.executeAPICommand(e,n.method,n.args),t._nextMethod=null,t._nextMethodRaf=null)}))))}function E(e,t,n){if(!t._context.staticPlot){var i=n.node(),o=r.select(t);e.on("mousedown",l),e.on("touchstart",l)}function s(){return n.data()[0]}function l(){var e=s();t.emit("plotly_sliderstart",{slider:e});var l=n.select("."+f.gripRectClass);r.event.stopPropagation(),r.event.preventDefault(),l.call(a.fill,e.activebgcolor);var c=O(e,r.mouse(i)[0]);function u(){var e=s(),a=O(e,r.mouse(i)[0]);w(t,n,e,a,!1)}function d(){var e=s();e._dragging=!1,l.call(a.fill,e.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),t.emit("plotly_sliderend",{slider:e,step:e.steps[e.active]})}w(t,n,e,c,!0),e._dragging=!0,o.on("mousemove",u),o.on("touchmove",u),o.on("mouseup",d),o.on("touchend",d)}}function T(e,t){var n=e.selectAll("rect."+f.tickRectClass).data(t._visibleSteps),i=t._dims;n.enter().append("rect").classed(f.tickRectClass,!0),n.exit().remove(),n.attr({width:t.tickwidth+"px","shape-rendering":"crispEdges"}),n.each((function(e,n){var s=n%i.labelStride==0,l=r.select(this);l.attr({height:s?t.ticklen:t.minorticklen}).call(a.fill,t.tickcolor),o.setTranslate(l,S(t,n/(t._stepCount-1))-.5*t.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function M(e,t,n){for(var r=e.select("rect."+f.gripRectClass),i=0,a=0;a<t._stepCount;a++)if(t._visibleSteps[a]._index===t.active){i=a;break}var o=S(t,i/(t._stepCount-1));if(!t._invokingCommand){var s=r;n&&t.transition.duration>0&&(s=s.transition().duration(t.transition.duration).ease(t.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,t._dims.currentValueTotalHeight))}}function S(e,t){var n=e._dims;return n.inputAreaStart+f.stepInset+(n.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,t))}function O(e,t){var n=e._dims;return Math.min(1,Math.max(0,(t-f.stepInset-n.inputAreaStart)/(n.inputAreaLength-2*f.stepInset-2*n.inputAreaStart)))}function C(e,t,n){var r=n._dims,i=s.ensureSingle(e,"rect",f.railTouchRectClass,(function(r){r.call(E,t,e,n).style("pointer-events","all")}));i.attr({width:r.inputAreaLength,height:Math.max(r.inputAreaWidth,f.tickOffset+n.ticklen+r.labelHeight)}).call(a.fill,n.bgcolor).attr("opacity",0),o.setTranslate(i,0,r.currentValueTotalHeight)}function N(e,t){var n=t._dims,r=n.inputAreaLength-2*f.railInset,i=s.ensureSingle(e,"rect",f.railRectClass);i.attr({width:r,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,t.bordercolor).call(a.fill,t.bgcolor).style("stroke-width",t.borderwidth+"px"),o.setTranslate(i,f.railInset,.5*(n.inputAreaWidth-f.railWidth)+n.currentValueTotalHeight)}e.exports=function(e){var t=e._context.staticPlot,n=e._fullLayout,a=function(e,t){for(var n=e[f.name],r=[],i=0;i<n.length;i++){var a=n[i];a.visible&&(a._gd=t,r.push(a))}return r}(n,e),s=n._infolayer.selectAll("g."+f.containerClassName).data(a.length>0?[0]:[]);function l(t){t._commandObserver&&(t._commandObserver.remove(),delete t._commandObserver),i.autoMargin(e,g(t))}if(s.enter().append("g").classed(f.containerClassName,!0).style("cursor",t?null:"ew-resize"),s.exit().each((function(){r.select(this).selectAll("g."+f.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll("g."+f.groupClassName).data(a,v);c.enter().append("g").classed(f.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var d=a[u];y(e,d)}c.each((function(t){var n=r.select(this);!function(e){var t=e._dims;t.labelSteps=[];for(var n=e._stepCount,r=0;r<n;r+=t.labelStride)t.labelSteps.push({fraction:r/(n-1),step:e._visibleSteps[r]})}(t),i.manageCommandObserver(e,t,t._visibleSteps,(function(t){var r=n.data()[0];r.active!==t.index&&(r._dragging||k(e,n,r,t.index,!1,!0))})),function(e,t,n){(n.steps[n.active]||{}).visible||(n.active=n._visibleSteps[0]._index);t.call(b,n).call(N,n).call(A,n).call(T,n).call(C,e,n).call(x,e,n);var r=n._dims;o.setTranslate(t,r.lx+n.pad.l,r.ly+n.pad.t),t.call(M,n,!1),t.call(b,n)}(e,r.select(this),t)}))}}},91988:(e,t,n)=>{"use strict";var r=n(27193);e.exports={moduleType:"component",name:r.name,layoutAttributes:n(62175),supplyLayoutDefaults:n(89624),draw:n(12828)}},34149:(e,t,n)=>{"use strict";var r=n(90607),i=n(2964),a=n(50207),o=n(25529),s=n(14932),l=s.strTranslate,c=n(12228),u=n(39906),f=n(13256),d=n(67709),h=n(8007).OPPOSITE_SIDE,p=/ [XY][0-9]* /;e.exports={draw:function(e,t,n){var m,g=n.propContainer,v=n.propName,y=n.placeholder,b=n.traceIndex,x=n.avoid||{},_=n.attributes,A=n.transform,w=n.containerGroup,k=e._fullLayout,E=1,T=!1,M=g.title,S=(M&&M.text?M.text:"").trim(),O=M&&M.font?M.font:{},C=O.family,N=O.size,R=O.color;"title.text"===v?m="titleText":-1!==v.indexOf("axis")?m="axisTitleText":v.indexOf(!0)&&(m="colorbarTitleText");var L=e._context.edits[m];""===S?E=0:S.replace(p," % ")===y.replace(p," % 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y=p[m][v];d[v]=Math.max(d[v],y)}var b={left:d.l,top:d.t,right:k.width-d.r,bottom:k.height-d.b},_=x.maxShift||o*(b[x.side]-f[x.side]),A=0;if(_<0)A=_;else{var w=x.offsetLeft||0,E=x.offsetTop||0;f.left-=w,f.right-=w,f.top-=E,f.bottom-=E,x.selection.each((function(){var e=c.bBox(this);s.bBoxIntersect(f,e,u)&&(A=Math.max(A,o*(e[x.side]-f[a])+u))})),A=Math.min(_,A),g._titleScoot=Math.abs(A)}if(A>0||_<0){var T={left:[-A,0],right:[A,0],top:[0,-A],bottom:[0,A]}[x.side];n.attr("transform",l(T[0],T[1]))}}}return I.call(j),L&&(S?I.on(".opacity",null):(E=0,T=!0,I.text(y).on("mouseover.opacity",(function(){r.select(this).transition().duration(d.SHOW_PLACEHOLDER).style("opacity",1)})).on("mouseout.opacity",(function(){r.select(this).transition().duration(d.HIDE_PLACEHOLDER).style("opacity",0)}))),I.call(f.makeEditable,{gd:e}).on("edit",(function(t){void 0!==b?o.call("_guiRestyle",e,v,t,b):o.call("_guiRelayout",e,v,t)})).on("cancel",(function(){this.text(this.attr("data-unformatted")).call(j)})).on("input",(function(e){this.text(e||" ").call(f.positionText,_.x,_.y)}))),I.classed("js-placeholder",T),w}}},53848:(e,t,n)=>{"use strict";var r=n(45436),i=n(53416),a=n(62134).extendFlat,o=n(65963).overrideAll,s=n(58708),l=n(60131).templatedArray,c=l("button",{visible:{valType:"boolean",description:"Determines whether or not this button is visible."},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle",description:["Sets the Plotly method to be called on click.","If the `skip` method is used, the API updatemenu will function as normal","but will perform no API calls and will not bind automatically to state","updates. 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update menu's vertical position anchor","This anchor binds the `y` position to the *top*, *middle*","or *bottom* of the range selector."].join(" ")},pad:a(s({editType:"arraydraw"}),{description:"Sets the padding around the buttons or dropdown menu."}),font:r({description:"Sets the font of the update menu button text."}),bgcolor:{valType:"color",description:"Sets the background color of the update menu buttons."},bordercolor:{valType:"color",dflt:i.borderLine,description:"Sets the color of the border enclosing the update menu."},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw",description:"Sets the width (in px) of the border enclosing the update menu."}}),"arraydraw","from-root")},32124:e=>{"use strict";e.exports={name:"updatemenus",containerClassName:"updatemenu-container",headerGroupClassName:"updatemenu-header-group",headerClassName:"updatemenu-header",headerArrowClassName:"updatemenu-header-arrow",dropdownButtonGroupClassName:"updatemenu-dropdown-button-group",dropdownButtonClassName:"updatemenu-dropdown-button",buttonClassName:"updatemenu-button",itemRectClassName:"updatemenu-item-rect",itemTextClassName:"updatemenu-item-text",menuIndexAttrName:"updatemenu-active-index",autoMarginIdRoot:"updatemenu-",blankHeaderOpts:{label:"  "},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:"#F4FAFF",hoverColor:"#F4FAFF",arrowSymbol:{left:"◄",right:"►",up:"▲",down:"▼"}}},14959:(e,t,n)=>{"use strict";var r=n(14932),i=n(86243),a=n(53848),o=n(32124).name,s=a.buttons;function l(e,t,n){function o(n,i){return 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d(e,c,b);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(M)),l.exit().each((function(e){c.call(M),a(e)})).remove(),l.each((function(t){var n=r.select(this),a="dropdown"===t.type?c:null;i.manageCommandObserver(e,t,t.buttons,(function(r){m(e,t,t.buttons[r.index],n,a,x,r.index,!0)})),"dropdown"===t.type?(g(e,n,c,x,t),p(c,t)&&v(e,n,c,x,t)):v(e,n,null,null,t)}))}}},10853:(e,t,n)=>{"use strict";var r=n(32124);e.exports={moduleType:"component",name:r.name,layoutAttributes:n(53848),supplyLayoutDefaults:n(14959),draw:n(30359)}},53655:(e,t,n)=>{"use strict";e.exports=s;var r=n(90607),i=n(39906),a=n(12228),o=n(14932);function s(e,t,n){this.gd=e,this.container=t,this.id=n,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll("rect.scrollbox-bg").data([0]),this.bg.exit().on(".drag",null).on("wheel",null).remove(),this.bg.enter().append("rect").classed("scrollbox-bg",!0).style("pointer-events","all").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor="#808BA4",s.prototype.enable=function(e,t,n){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=e;var u,f,d,h,p=this.position.l,m=this.position.w,g=this.position.t,v=this.position.h,y=this.position.direction,b="down"===y,x="left"===y,_="up"===y,A=m,w=v;b||x||"right"===y||_||(this.position.direction="down",b=!0),b||_?(f=(u=p)+A,b?(d=g,w=(h=Math.min(d+w,c))-d):w=(h=g+w)-(d=Math.max(h-w,0))):(h=(d=g)+w,x?A=(f=p+A)-(u=Math.max(f-A,0)):(u=p,A=(f=Math.min(u+A,l))-u)),this._box={l:u,t:d,w:A,h:w};var k=m>A,E=s.barLength+2*s.barPad,T=s.barWidth+2*s.barPad,M=p,S=g+v;S+T>c&&(S=c-T);var O=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);O.exit().on(".drag",null).remove(),O.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=O.attr({rx:s.barRadius,ry:s.barRadius,x:M,y:S,width:E,height:T}),this._hbarXMin=M+E/2,this._hbarTranslateMax=A-E):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>w,N=s.barWidth+2*s.barPad,R=s.barLength+2*s.barPad,L=p+m,P=g;L+N>l&&(L=l-N);var D=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);D.exit().on(".drag",null).remove(),D.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:L,y:P,width:N,height:R}),this._vbarYMin=P+R/2,this._vbarTranslateMax=w-R):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var I=this.id,j=u-.5,F=C?f+N+.5:f+.5,z=d-.5,B=k?h+T+.5:h+.5,U=o._topdefs.selectAll("#"+I).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",I).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(j),y:Math.floor(z),width:Math.ceil(F)-Math.floor(j),height:Math.ceil(B)-Math.floor(z)}),this.container.call(a.setClipUrl,I,this.gd),this.bg.attr({x:p,y:g,width:m,height:v})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var $=r.behavior.drag().on("dragstart",(function(){r.event.sourceEvent.preventDefault()})).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call($);var H=r.behavior.drag().on("dragstart",(function(){r.event.sourceEvent.preventDefault(),r.event.sourceEvent.stopPropagation()})).on("drag",this._onBarDrag.bind(this));k&&this.hbar.on(".drag",null).call(H),C&&this.vbar.on(".drag",null).call(H)}this.setTranslate(t,n)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var e=this.translateX,t=this.translateY;this.hbar&&(e-=r.event.dx),this.vbar&&(t-=r.event.dy),this.setTranslate(e,t)},s.prototype._onBoxWheel=function(){var e=this.translateX,t=this.translateY;this.hbar&&(e+=r.event.deltaY),this.vbar&&(t+=r.event.deltaY),this.setTranslate(e,t)},s.prototype._onBarDrag=function(){var e=this.translateX,t=this.translateY;if(this.hbar){var n=e+this._hbarXMin,i=n+this._hbarTranslateMax;e=(o.constrain(r.event.x,n,i)-n)/(i-n)*(this.position.w-this._box.w)}if(this.vbar){var a=t+this._vbarYMin,s=a+this._vbarTranslateMax;t=(o.constrain(r.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(e,t)},s.prototype.setTranslate=function(e,t){var n=this.position.w-this._box.w,r=this.position.h-this._box.h;if(e=o.constrain(e||0,0,n),t=o.constrain(t||0,0,r),this.translateX=e,this.translateY=t,this.container.call(a.setTranslate,this._box.l-this.position.l-e,this._box.t-this.position.t-t),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+e-.5),y:Math.floor(this.position.t+t-.5)}),this.hbar){var i=e/n;this.hbar.call(a.setTranslate,e+i*this._hbarTranslateMax,t)}if(this.vbar){var 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if(T.fullReplot||_.layoutReplot||m)e._fullLayout._skipDefaults=!0,P.push(t._doPlot);else{for(var D in _.arrays){var I=_.arrays[D];if(I.length){var j=u.getComponentMethod(D,"drawOne");if(j!==o.noop)for(var z=0;z<I.length;z++)j(e,I[z]);else{var B=u.getComponentMethod(D,"draw");if(B===o.noop)throw new Error("cannot draw components: "+D);B(e)}}}P.push(d.previousPromises),T.style&&P.push(k.doTraceStyle),(T.colorbars||_.colorbars)&&P.push(k.doColorBars),_.legend&&P.push(k.doLegend),_.layoutstyle&&P.push(k.layoutStyles),_.axrange&&V(P),_.ticks&&P.push(k.doTicksRelayout),_.modebar&&P.push(k.doModeBar),_.camera&&P.push(k.doCamera),P.push(S)}P.push(d.rehover,d.redrag,d.reselect),(l=o.syncOrAsync(P,e))&&l.then||(l=Promise.resolve(e))}else l=t.newPlot(e,n,r,i);return l.then((function(){return e.emit("plotly_react",{data:n,layout:r}),e}))},t.redraw=function(e){if(e=o.getGraphDiv(e),!o.isPlotDiv(e))throw new Error("This element is not a Plotly plot: "+e);return w.cleanData(e.data),w.cleanLayout(e.layout),e.calcdata=void 0,t._doPlot(e).then((function(){return e.emit("plotly_redraw"),e}))},t.relayout=H,t.restyle=j,t.setPlotConfig=function(e){return o.extendFlat(_,e)},t.update=Z,t._guiRelayout=J(H),t._guiRestyle=J(j),t._guiUpdate=J(Z),t._storeDirectGUIEdit=function(e,t,n){for(var r in n){B(r,s(e,r).get(),n[r],t)}}},46987:e=>{"use strict";var t={staticPlot:{valType:"boolean",dflt:!1,description:["Determines whether the graphs are interactive or not.","If *false*, no interactivity, for export or image generation."].join(" ")},typesetMath:{valType:"boolean",dflt:!0,description:["Determines whether math should be typeset or not,","when MathJax (either v2 or v3) is present on the page."].join(" ")},plotlyServerURL:{valType:"string",dflt:"",description:["When set it determines base URL for","the 'Edit in Chart Studio' `showEditInChartStudio`/`showSendToCloud` mode bar button","and the showLink/sendData on-graph link.","To enable sending your data to Chart Studio Cloud, you need to","set both `plotlyServerURL` to 'https://chart-studio.plotly.com' and","also set `showSendToCloud` to true."].join(" ")},editable:{valType:"boolean",dflt:!1,description:["Determines whether the graph is editable or not.","Sets all pieces of `edits`","unless a separate `edits` config item overrides individual parts."].join(" ")},edits:{annotationPosition:{valType:"boolean",dflt:!1,description:["Determines if the main anchor of the annotation is editable.","The main anchor corresponds to the","text (if no arrow) or the arrow (which drags the whole thing leaving","the arrow length & direction unchanged)."].join(" ")},annotationTail:{valType:"boolean",dflt:!1,description:["Has only an effect for annotations with arrows.","Enables changing the length and direction of the arrow."].join(" ")},annotationText:{valType:"boolean",dflt:!1,description:"Enables editing annotation text."},axisTitleText:{valType:"boolean",dflt:!1,description:"Enables editing axis title text."},colorbarPosition:{valType:"boolean",dflt:!1,description:"Enables moving colorbars."},colorbarTitleText:{valType:"boolean",dflt:!1,description:"Enables editing colorbar title text."},legendPosition:{valType:"boolean",dflt:!1,description:"Enables moving the legend."},legendText:{valType:"boolean",dflt:!1,description:"Enables editing the trace name fields from the legend"},shapePosition:{valType:"boolean",dflt:!1,description:"Enables moving shapes."},titleText:{valType:"boolean",dflt:!1,description:"Enables editing the global layout title."}},editSelection:{valType:"boolean",dflt:!0,description:"Enables moving selections."},autosizable:{valType:"boolean",dflt:!1,description:["Determines whether the graphs are plotted with respect to","layout.autosize:true and infer its container size."].join(" ")},responsive:{valType:"boolean",dflt:!1,description:["Determines whether to change the layout size when window is resized.","In v3, this option will be removed and will always be 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effect only in cartesian plots.","If *false*, double click is disable.","If *reset*, double click resets the axis ranges to their initial values.","If *autosize*, double click set the axis ranges to their autorange values.","If *reset+autosize*, the odd double clicks resets the axis ranges","to their initial values and even double clicks set the axis ranges","to their autorange values."].join(" ")},doubleClickDelay:{valType:"number",dflt:300,min:0,description:["Sets the delay for registering a double-click in ms.","This is the time interval (in ms) between first mousedown and","2nd mouseup to constitute a double-click.","This setting propagates to all on-subplot double clicks","(except for geo and mapbox) and on-legend double clicks."].join(" ")},showAxisDragHandles:{valType:"boolean",dflt:!0,description:["Set to *false* to omit cartesian axis pan/zoom drag handles."].join(" ")},showAxisRangeEntryBoxes:{valType:"boolean",dflt:!0,description:["Set to *false* to omit direct range entry at the pan/zoom drag points,","note that `showAxisDragHandles` must be enabled to have an effect."].join(" ")},showTips:{valType:"boolean",dflt:!0,description:["Determines whether or not tips are shown while interacting","with the resulting graphs."].join(" ")},showLink:{valType:"boolean",dflt:!1,description:["Determines whether a link to Chart Studio Cloud is displayed","at the bottom right corner of resulting graphs.","Use with `sendData` and `linkText`."].join(" ")},linkText:{valType:"string",dflt:"Edit chart",noBlank:!0,description:["Sets the text appearing in the `showLink` link."].join(" ")},sendData:{valType:"boolean",dflt:!0,description:["If *showLink* is true, does it contain data","just link to a Chart Studio Cloud file?"].join(" ")},showSources:{valType:"any",dflt:!1,description:["Adds a source-displaying function to show sources on","the resulting graphs."].join(" ")},displayModeBar:{valType:"enumerated",values:["hover",!0,!1],dflt:"hover",description:["Determines the mode bar display mode.","If *true*, the mode bar is always visible.","If *false*, the mode bar is always hidden.","If *hover*, the mode bar is visible while the mouse cursor","is on the graph container."].join(" ")},showSendToCloud:{valType:"boolean",dflt:!1,description:['Should we include a ModeBar button, labeled "Edit in Chart Studio",',"that sends this chart to chart-studio.plotly.com (formerly plot.ly) or another plotly server","as specified by `plotlyServerURL` for editing, export, etc? Prior to version 1.43.0","this button was included by default, now it is opt-in using this flag.","Note that this button can (depending on `plotlyServerURL` being set) send your data","to an external server. However that server does not persist your data",'until you arrive at the Chart Studio and explicitly click "Save".'].join(" ")},showEditInChartStudio:{valType:"boolean",dflt:!1,description:["Same as `showSendToCloud`, but use a pencil icon instead of a floppy-disk.","Note that if both `showSendToCloud` and `showEditInChartStudio` are turned,","only `showEditInChartStudio` will be honored."].join(" ")},modeBarButtonsToRemove:{valType:"any",dflt:[],description:["Remove mode bar buttons by name.","See ./components/modebar/buttons.js for the list of names."].join(" ")},modeBarButtonsToAdd:{valType:"any",dflt:[],description:["Add mode bar button using config objects","See ./components/modebar/buttons.js for list of arguments.","To enable predefined modebar buttons e.g. shape drawing, hover and spikelines,","simply provide their string name(s). 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a,o,s=n.name,l=n.inclusionAttr||"visible",c=t[s],u=r.isArrayOrTypedArray(e[s])?e[s]:[],f=t[s]=[],d=i.arrayTemplater(t,s,l);for(a=0;a<u.length;a++){var h=u[a];r.isPlainObject(h)?o=d.newItem(h):(o=d.newItem({}))[l]=!1,o._index=a,!1!==o[l]&&n.handleItemDefaults(h,o,t,n),f.push(o)}var p=d.defaultItems();for(a=0;a<p.length;a++)(o=p[a])._index=f.length,n.handleItemDefaults({},o,t,n,{}),f.push(o);if(r.isArrayOrTypedArray(c)){var m=Math.min(c.length,f.length);for(a=0;a<m;a++)r.relinkPrivateKeys(f[a],c[a])}return f}},37510:(e,t,n)=>{"use strict";var r=n(45436),i=n(97823);e.exports={type:{valType:"enumerated",values:[],dflt:"scatter",editType:"calc+clearAxisTypes",_noTemplating:!0},visible:{valType:"enumerated",values:[!0,!1,"legendonly"],dflt:!0,editType:"calc",description:["Determines whether or not this trace is visible.","If *legendonly*, the trace is not drawn,","but can appear as a legend item","(provided that the legend itself is visible)."].join(" 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`skip` are set, no information is displayed upon hovering.","But, if `none` is set, click and hover events are still fired."].join(" ")},hoverlabel:i.hoverlabel,stream:{token:{valType:"string",noBlank:!0,strict:!0,editType:"calc",description:["The stream id number links a data trace on a plot with a stream.","See https://chart-studio.plotly.com/settings for more details."].join(" ")},maxpoints:{valType:"number",min:0,max:1e4,dflt:500,editType:"calc",description:["Sets the maximum number of points to keep on the plots from an","incoming stream.","If `maxpoints` is set to *50*, only the newest 50 points will","be displayed on the plot."].join(" ")},editType:"calc"},transforms:{_isLinkedToArray:"transform",editType:"calc",description:["WARNING: All transforms are deprecated and may be removed from the API in next major version.","An array of operations that manipulate the trace data,","for example filtering or sorting the data arrays."].join(" 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se=[2,5,10],le=[1,2,3,6,12],ce=[1,2,5,10,15,30],ue=[1,2,3,7,14],fe=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],de=[-.301,0,.301,.699,1],he=[15,30,45,90,180];function pe(e,t,n){return t*s.roundUp(e/t,n)}function me(e){var t=e.dtick;if(e._tickexponent=0,i(t)||"string"==typeof t||(t=1),"category"!==e.type&&"multicategory"!==e.type||(e._tickround=null),"date"===e.type){var n=e.r2l(e.tick0),r=e.l2r(n).replace(/(^-|i)/g,""),a=r.length;if("M"===String(t).charAt(0))a>10||"01-01"!==r.substr(5)?e._tickround="d":e._tickround=+t.substr(1)%12==0?"y":"m";else if(t>=T&&a<=10||t>=15*T)e._tickround="d";else if(t>=O&&a<=16||t>=S)e._tickround="M";else if(t>=C&&a<=19||t>=O)e._tickround="S";else{var o=e.l2r(n+t).replace(/^-/,"").length;e._tickround=Math.max(a,o)-20,e._tickround<0&&(e._tickround=4)}}else if(i(t)||"L"===t.charAt(0)){var s=e.range.map(e.r2d||Number);i(t)||(t=Number(t.substr(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var 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*linear*, the placement of the ticks is determined by","a starting position `tick0` and a tick step `dtick`","(*linear* is the default value if `tick0` and `dtick` are provided).","If *array*, the placement of the ticks is set via `tickvals`","and the tick text is `ticktext`.","(*array* is the default value if `tickvals` is provided)."].join(" ")},p=o({},h,{values:h.values.slice().concat(["sync"]),description:[h.description,"If *sync*, the number of ticks will sync with the overlayed axis","set by `overlaying` property."].join(" ")});function m(e){return{valType:"integer",min:0,dflt:e?5:0,editType:"ticks",description:["Specifies the maximum number of ticks for the particular axis.","The actual number of ticks will be chosen automatically to be","less than or equal to `nticks`.","Has an effect only if `tickmode` is set to *auto*."].join(" ")}}var g={valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"},description:["Sets the placement of the first tick on this axis.","Use with `dtick`.","If the axis `type` is *log*, then you must take the log of your starting tick","(e.g. to set the starting tick to 100, set the `tick0` to 2)","except when `dtick`=*L<f>* (see `dtick` for more info).","If the axis `type` is *date*, it should be a date string, like date data.","If the axis `type` is *category*, it should be a number, using the scale where","each category is assigned a serial number from zero in the order it appears."].join(" ")},v={valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"},description:["Sets the step in-between ticks on this axis. Use with `tick0`.","Must be a positive number, or special strings available to *log* and *date* axes.","If the axis `type` is *log*, then ticks are set every 10^(n*dtick) where n","is the tick number. For example,","to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1.","To set tick marks at 1, 100, 10000, ... set dtick to 2.","To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433.","*log* has several special values; *L<f>*, where `f` is a positive number,","gives ticks linearly spaced in value (but not position).","For example `tick0` = 0.1, `dtick` = *L0.5* will put ticks at 0.1, 0.6, 1.1, 1.6 etc.","To show powers of 10 plus small digits between, use *D1* (all digits) or *D2* (only 2 and 5).","`tick0` is ignored for *D1* and *D2*.","If the axis `type` is *date*, then you must convert the time to milliseconds.","For example, to set the interval between ticks to one day,","set `dtick` to 86400000.0.","*date* also has special values *M<n>* gives ticks spaced by a number of months.","`n` must be a positive integer.","To set ticks on the 15th of every third month, set `tick0` to *2000-01-15* and `dtick` to *M3*.","To set ticks every 4 years, set `dtick` to *M48*"].join(" ")},y={valType:"data_array",editType:"ticks",description:["Sets the values at which ticks on this axis appear.","Only has an effect if `tickmode` is set to *array*.","Used with `ticktext`."].join(" ")},b={valType:"enumerated",values:["outside","inside",""],editType:"ticks",description:["Determines whether ticks are drawn or not.","If **, this axis' ticks are not drawn.","If *outside* (*inside*), this axis' are drawn outside (inside)","the axis lines."].join(" ")};function x(e){var t={valType:"number",min:0,editType:"ticks",description:"Sets the tick length (in px)."};return e||(t.dflt=5),t}function _(e){var t={valType:"number",min:0,editType:"ticks",description:"Sets the tick width (in px)."};return e||(t.dflt=1),t}var A={valType:"color",dflt:i.defaultLine,editType:"ticks",description:"Sets the tick color."},w={valType:"color",dflt:i.lightLine,editType:"ticks",description:"Sets the color of the grid lines."};function k(e){var t={valType:"number",min:0,editType:"ticks",description:"Sets the width (in px) of the grid lines."};return e||(t.dflt=1),t}var E=o({},a,{editType:"ticks"}),T={valType:"boolean",editType:"ticks",description:["Determines whether or not grid lines are drawn.","If *true*, the grid lines are drawn at every tick mark."].join(" ")};e.exports={visible:{valType:"boolean",editType:"plot",description:["A single toggle to hide the axis while preserving interaction like dragging.","Default is true when a cheater plot is present on the axis, otherwise","false"].join(" ")},color:{valType:"color",dflt:i.defaultLine,editType:"ticks",description:["Sets default for all colors associated with this axis","all at once: line, font, tick, and grid colors.","Grid color is lightened by blending this with the plot background","Individual pieces can override this."].join(" ")},title:{text:{valType:"string",editType:"ticks",description:["Sets the title of this axis.","Note that before the existence of `title.text`, the title's","contents used to be defined as the `title` attribute itself.","This behavior has been deprecated."].join(" ")},font:r({editType:"ticks",description:["Sets this axis' title font.","Note that the title's font used to be customized","by the now deprecated `titlefont` attribute."].join(" ")}),standoff:{valType:"number",min:0,editType:"ticks",description:["Sets the standoff distance (in px) between the axis labels and the title text","The default value is a function of the axis tick labels, the title `font.size`","and the axis `linewidth`.","Note that the axis title position is always constrained within the margins,","so the actual standoff distance is always less than the set or default value.","By setting `standoff` and turning on `automargin`, plotly.js will push the","margins to fit the axis title at given standoff distance."].join(" ")},editType:"ticks"},type:{valType:"enumerated",values:["-","linear","log","date","category","multicategory"],dflt:"-",editType:"calc",_noTemplating:!0,description:["Sets the axis type.","By default, plotly attempts to determined the axis type","by looking into the data of the traces that referenced","the axis in question."].join(" ")},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc",description:["Using *strict* a numeric string in trace data is not converted to a number.","Using *convert types* a numeric string in trace data may be","treated as a number during automatic axis `type` detection.","Defaults to layout.autotypenumbers."].join(" ")},autorange:{valType:"enumerated",values:[!0,!1,"reversed","min reversed","max reversed","min","max"],dflt:!0,editType:"axrange",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Determines whether or not the range of this axis is","computed in relation to the input data.","See `rangemode` for more info.","If `range` is provided and it has a value for both the","lower and upper bound, `autorange` is set to *false*.","Using *min* applies autorange only to set the minimum.","Using *max* applies autorange only to set the maximum.","Using *min reversed* applies autorange only to set the minimum on a reversed axis.","Using *max reversed* applies autorange only to set the maximum on a reversed axis.","Using *reversed* applies autorange on both ends and reverses the axis direction."].join(" ")},autorangeoptions:{minallowed:{valType:"any",editType:"plot",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Use this value exactly as autorange minimum."].join(" ")},maxallowed:{valType:"any",editType:"plot",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Use this value exactly as autorange maximum."].join(" ")},clipmin:{valType:"any",editType:"plot",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Clip autorange minimum if it goes beyond this value.","Has no effect when `autorangeoptions.minallowed` is provided."].join(" ")},clipmax:{valType:"any",editType:"plot",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Clip autorange maximum if it goes beyond this value.","Has no effect when `autorangeoptions.maxallowed` is provided."].join(" ")},include:{valType:"any",arrayOk:!0,editType:"plot",impliedEdits:{"range[0]":void 0,"range[1]":void 0},description:["Ensure this value is included in autorange."].join(" ")},editType:"plot"},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"plot",description:["If *normal*, the range is computed in relation to the extrema","of the input data.","If *tozero*`, the range extends to 0,","regardless of the input data","If *nonnegative*, the range is non-negative,","regardless of the input data.","Applies only to linear axes."].join(" ")},range:{valType:"info_array",items:[{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0},{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0}],editType:"axrange",impliedEdits:{autorange:!1},anim:!0,description:["Sets the range of this axis.","If the axis `type` is *log*, then you must take the log of your","desired range (e.g. to set the range from 1 to 100,","set the range from 0 to 2).","If the axis `type` is *date*, it should be date strings,","like date data, though Date objects and unix milliseconds","will be accepted and converted to strings.","If the axis `type` is *category*, it should be numbers,","using the scale where each category is assigned a serial","number from zero in the order it appears.","Leaving either or both elements `null` impacts the default `autorange`."].join(" ")},minallowed:{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1},description:["Determines the minimum range of this axis."].join(" ")},maxallowed:{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1},description:["Determines the maximum range of this axis."].join(" ")},fixedrange:{valType:"boolean",dflt:!1,editType:"calc",description:["Determines whether or not this axis is zoom-able.","If true, then zoom is disabled."].join(" ")},insiderange:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot",description:["Could be used to set the desired inside range of this axis","(excluding the labels) when `ticklabelposition` of","the anchored axis has *inside*.","Not implemented for axes with `type` *log*.","This would be ignored when `range` is provided."].join(" ")},scaleanchor:{valType:"enumerated",values:[u.idRegex.x.toString(),u.idRegex.y.toString(),!1],editType:"plot",description:["If set to another axis id (e.g. `x2`, `y`), the range of this axis","changes together with the range of the corresponding axis","such that the scale of pixels per unit is in a constant ratio.","Both axes are still zoomable, but when you zoom one, the other will","zoom the same amount, keeping a fixed midpoint.","`constrain` and `constraintoward` determine how we enforce the constraint.","You can chain these, ie `yaxis: {scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`","but you can only link axes of the same `type`.","The linked axis can have the opposite letter (to constrain the aspect ratio)","or the same letter (to match scales across subplots).","Loops (`yaxis: {scaleanchor: *x*}, xaxis: {scaleanchor: *y*}` or longer) are redundant","and the last constraint encountered will be ignored to avoid possible","inconsistent constraints via `scaleratio`.","Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint","is currently forbidden.","Setting `false` allows to remove a default constraint (occasionally,","you may need to prevent a default `scaleanchor` constraint from",'being applied, eg. when having an image trace `yaxis: {scaleanchor: "x"}`',"is set automatically in order for pixels to be rendered as squares,","setting `yaxis: {scaleanchor: false}` allows to remove the constraint)."].join(" ")},scaleratio:{valType:"number",min:0,dflt:1,editType:"plot",description:["If this axis is linked to another by `scaleanchor`, this determines the pixel","to unit scale ratio. For example, if this value is 10, then every unit on","this axis spans 10 times the number of pixels as a unit on the linked axis.","Use this for example to create an elevation profile where the vertical scale","is exaggerated a fixed amount with respect to the horizontal."].join(" ")},constrain:{valType:"enumerated",values:["range","domain"],editType:"plot",description:["If this axis needs to be compressed (either due to its own `scaleanchor` and","`scaleratio` or those of the other axis), determines how that happens:","by increasing the *range*, or by decreasing the *domain*.","Default is *domain* for axes containing image traces, *range* otherwise."].join(" ")},constraintoward:{valType:"enumerated",values:["left","center","right","top","middle","bottom"],editType:"plot",description:["If this axis needs to be compressed (either due to its own `scaleanchor` and","`scaleratio` or those of the other axis), determines which direction we push","the originally specified plot area. Options are *left*, *center* (default),","and *right* for x axes, and *top*, *middle* (default), and *bottom* for y axes."].join(" ")},matches:{valType:"enumerated",values:[u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"calc",description:["If set to another axis id (e.g. `x2`, `y`), the range of this axis","will match the range of the corresponding axis in data-coordinates space.","Moreover, matching axes share auto-range values, category lists and","histogram auto-bins.","Note that setting axes simultaneously in both a `scaleanchor` and a `matches` constraint","is currently forbidden.","Moreover, note that matching axes must have the same `type`."].join(" ")},rangebreaks:s("rangebreak",{enabled:{valType:"boolean",dflt:!0,editType:"calc",description:["Determines whether this axis rangebreak is enabled or disabled.","Please note that `rangebreaks` only work for *date* axis type."].join(" ")},bounds:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc",description:["Sets the lower and upper bounds of this axis rangebreak.","Can be used with `pattern`."].join(" ")},pattern:{valType:"enumerated",values:[d,f,""],editType:"calc",description:["Determines a pattern on the time line that generates breaks.","If *"+d+"* - days of the week in English e.g. 'Sunday' or `sun`","(matching is case-insensitive and considers only the first three characters),","as well as Sunday-based integers between 0 and 6.","If *"+f+"* - hour (24-hour clock) as decimal numbers between 0 and 24.","for more info.","Examples:","- { pattern: '"+d+"', bounds: [6, 1] }"," or simply { bounds: ['sat', 'mon'] }","  breaks from Saturday to Monday (i.e. skips the weekends).","- { pattern: '"+f+"', bounds: [17, 8] }","  breaks from 5pm to 8am (i.e. skips non-work hours)."].join(" ")},values:{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"any",editType:"calc"},description:["Sets the coordinate values corresponding to the rangebreaks.","An alternative to `bounds`.","Use `dvalue` to set the size of the values along the axis."].join(" ")},dvalue:{valType:"number",editType:"calc",min:0,dflt:c,description:["Sets the size of each `values` item.","The default is one day in milliseconds."].join(" ")},editType:"calc"}),tickmode:p,nticks:m(),tick0:g,dtick:v,ticklabelstep:{valType:"integer",min:1,dflt:1,editType:"ticks",description:["Sets the spacing between tick labels as compared to the spacing between ticks.","A value of 1 (default) means each tick gets a label.","A value of 2 means shows every 2nd label.","A larger value n means only every nth tick is labeled.","`tick0` determines which labels are shown.","Not implemented for axes with `type` *log* or *multicategory*, or when `tickmode` is *array*."].join(" ")},tickvals:y,ticktext:{valType:"data_array",editType:"ticks",description:["Sets the text displayed at the ticks position via `tickvals`.","Only has an effect if `tickmode` is set to *array*.","Used with `tickvals`."].join(" ")},ticks:b,tickson:{valType:"enumerated",values:["labels","boundaries"],dflt:"labels",editType:"ticks",description:["Determines where ticks and grid lines are drawn with respect to their","corresponding tick labels.","Only has an effect for axes of `type` *category* or *multicategory*.","When set to *boundaries*, ticks and grid lines are drawn half a category","to the left/bottom of labels."].join(" ")},ticklabelmode:{valType:"enumerated",values:["instant","period"],dflt:"instant",editType:"ticks",description:["Determines where tick labels are drawn with respect to their","corresponding ticks and grid lines.","Only has an effect for axes of `type` *date*","When set to *period*, tick labels are drawn in the middle of the period","between ticks."].join(" ")},ticklabelposition:{valType:"enumerated",values:["outside","inside","outside top","inside top","outside left","inside left","outside right","inside right","outside bottom","inside bottom"],dflt:"outside",editType:"calc",description:["Determines where tick labels are drawn with respect to the axis","Please note that","top or bottom has no effect on x axes or when `ticklabelmode` is set to *period*.","Similarly","left or right has no effect on y axes or when `ticklabelmode` is set to *period*.","Has no effect on *multicategory* axes or when `tickson` is set to *boundaries*.","When used on axes linked by `matches` or `scaleanchor`,","no extra padding for inside labels would be added by autorange,","so that the scales could match."].join(" ")},ticklabeloverflow:{valType:"enumerated",values:["allow","hide past div","hide past domain"],editType:"calc",description:["Determines how we handle tick labels that would overflow either the graph div or the domain of the axis.","The default value for inside tick labels is *hide past domain*.","Otherwise on *category* and *multicategory* axes the default is *allow*.","In other cases the default is *hide past div*."].join(" ")},mirror:{valType:"enumerated",values:[!0,"ticks",!1,"all","allticks"],dflt:!1,editType:"ticks+layoutstyle",description:["Determines if the axis lines or/and ticks are mirrored to","the opposite side of the plotting area.","If *true*, the axis lines are mirrored.","If *ticks*, the axis lines and ticks are mirrored.","If *false*, mirroring is disable.","If *all*, axis lines are mirrored on all shared-axes subplots.","If *allticks*, axis lines and ticks are mirrored","on all shared-axes subplots."].join(" ")},ticklen:x(),tickwidth:_(),tickcolor:A,showticklabels:{valType:"boolean",dflt:!0,editType:"ticks",description:"Determines whether or not the tick labels are drawn."},labelalias:{valType:"any",dflt:!1,editType:"ticks",description:["Replacement text for specific tick or hover labels.","For example using {US: 'USA', CA: 'Canada'} changes US to USA","and CA to Canada. The labels we would have shown must match","the keys exactly, after adding any tickprefix or ticksuffix.","For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash.","That means you need to use −1 instead of -1.","labelalias can be used with any axis type, and both keys (if needed)","and values (if desired) can include html-like tags or MathJax."].join(" ")},automargin:{valType:"flaglist",flags:["height","width","left","right","top","bottom"],extras:[!0,!1],dflt:!1,editType:"ticks",description:["Determines whether long tick labels automatically grow the figure","margins."].join(" ")},showspikes:{valType:"boolean",dflt:!1,editType:"modebar",description:["Determines whether or not spikes (aka droplines) are drawn for this axis.","Note: This only takes affect when hovermode = closest"].join(" ")},spikecolor:{valType:"color",dflt:null,editType:"none",description:"Sets the spike color. 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dtick values","which describe some zoom level, it is possible to omit *min*","or *max* value by passing *null*"].join(" ")},value:{valType:"string",dflt:"",editType:"ticks",description:["string - dtickformat for described zoom level, the same as *tickformat*"].join(" ")},editType:"ticks"}),hoverformat:{valType:"string",dflt:"",editType:"none",description:l("hover text")},showline:{valType:"boolean",dflt:!1,editType:"ticks+layoutstyle",description:["Determines whether or not a line bounding this axis is drawn."].join(" ")},linecolor:{valType:"color",dflt:i.defaultLine,editType:"layoutstyle",description:"Sets the axis line color."},linewidth:{valType:"number",min:0,dflt:1,editType:"ticks+layoutstyle",description:"Sets the width (in px) of the axis line."},showgrid:T,gridcolor:w,gridwidth:k(),griddash:E,zeroline:{valType:"boolean",editType:"ticks",description:["Determines whether or not a line is drawn at along the 0 value","of this axis.","If *true*, the zero line is drawn on top of the grid lines."].join(" ")},zerolinecolor:{valType:"color",dflt:i.defaultLine,editType:"ticks",description:"Sets the line color of the zero line."},zerolinewidth:{valType:"number",dflt:1,editType:"ticks",description:"Sets the width (in px) of the zero line."},showdividers:{valType:"boolean",dflt:!0,editType:"ticks",description:["Determines whether or not a dividers are drawn","between the category levels of this axis.","Only has an effect on *multicategory* axes."].join(" ")},dividercolor:{valType:"color",dflt:i.defaultLine,editType:"ticks",description:["Sets the color of the dividers","Only has an effect on *multicategory* axes."].join(" ")},dividerwidth:{valType:"number",dflt:1,editType:"ticks",description:["Sets the width (in px) of the dividers","Only has an effect on *multicategory* axes."].join(" ")},anchor:{valType:"enumerated",values:["free",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"plot",description:["If set to an opposite-letter axis id (e.g. `x2`, `y`), this axis is bound to","the corresponding opposite-letter axis.","If set to *free*, this axis' position is determined by `position`."].join(" ")},side:{valType:"enumerated",values:["top","bottom","left","right"],editType:"plot",description:["Determines whether a x (y) axis is positioned","at the *bottom* (*left*) or *top* (*right*)","of the plotting area."].join(" ")},overlaying:{valType:"enumerated",values:["free",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"plot",description:["If set a same-letter axis id, this axis is overlaid on top of","the corresponding same-letter axis, with traces and axes visible for both","axes.","If *false*, this axis does not overlay any same-letter axes.","In this case, for axes with overlapping domains only the highest-numbered","axis will be visible."].join(" ")},minor:{tickmode:h,nticks:m("minor"),tick0:g,dtick:v,tickvals:y,ticks:b,ticklen:x("minor"),tickwidth:_("minor"),tickcolor:A,gridcolor:w,gridwidth:k("minor"),griddash:E,showgrid:T,editType:"ticks"},layer:{valType:"enumerated",values:["above traces","below traces"],dflt:"above traces",editType:"plot",description:["Sets the layer on which this axis is displayed.","If *above traces*, this axis is displayed above all the subplot's traces","If *below traces*, this axis is displayed below all the subplot's traces,","but above the grid lines.","Useful when used together with scatter-like traces with `cliponaxis`","set to *false* to show markers and/or text nodes above this axis."].join(" ")},domain:{valType:"info_array",items:[{valType:"number",min:0,max:1,editType:"plot"},{valType:"number",min:0,max:1,editType:"plot"}],dflt:[0,1],editType:"plot",description:["Sets the domain of this axis (in plot fraction)."].join(" ")},position:{valType:"number",min:0,max:1,dflt:0,editType:"plot",description:["Sets the position of this axis in the plotting space","(in normalized coordinates).","Only has an effect if `anchor` is set to *free*."].join(" ")},autoshift:{valType:"boolean",dflt:!1,editType:"plot",description:["Automatically reposition the axis to avoid","overlap with other axes with the same `overlaying` value.","This repositioning will account for any `shift` amount applied to other","axes on the same side with `autoshift` is set to true.","Only has an effect if `anchor` is set to *free*."].join(" ")},shift:{valType:"number",editType:"plot",description:["Moves the axis a given number of pixels from where it would have been otherwise.","Accepts both positive and negative values, which will shift the axis either right","or left, respectively.","If `autoshift` is set to true, then this defaults to a padding of -3 if `side` is set to *left*.","and defaults to +3 if `side` is set to *right*. Defaults to 0 if `autoshift` is set to false.","Only has an effect if `anchor` is set to *free*."].join(" ")},categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array","total ascending","total descending","min ascending","min descending","max ascending","max descending","sum ascending","sum descending","mean ascending","mean descending","median ascending","median descending"],dflt:"trace",editType:"calc",description:["Specifies the ordering logic for the case of categorical variables.","By default, plotly uses *trace*, which specifies the order that is present in the data supplied.","Set `categoryorder` to *category ascending* or *category descending* if order should be determined by","the alphanumerical order of the category names.","Set `categoryorder` to *array* to derive the ordering from the attribute `categoryarray`. If a category","is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to","the *trace* mode. The unspecified categories will follow the categories in `categoryarray`.","Set `categoryorder` to *total ascending* or *total descending* if order should be determined by the","numerical order of the values.","Similarly, the order can be determined by the min, max, sum, mean or median of all the values."].join(" ")},categoryarray:{valType:"data_array",editType:"calc",description:["Sets the order in which categories on this axis appear.","Only has an effect if `categoryorder` is set to *array*.","Used with `categoryorder`."].join(" ")},uirevision:{valType:"any",editType:"none",description:["Controls persistence of user-driven changes in axis `range`,","`autorange`, and `title` if in `editable: true` configuration.","Defaults to `layout.uirevision`."].join(" ")},editType:"calc",_deprecated:{autotick:{valType:"boolean",editType:"ticks",description:["Obsolete.","Set `tickmode` to *auto* for old `autotick` *true* behavior.","Set `tickmode` to *linear* for `autotick` *false*."].join(" 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labeled"},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},45691:(e,t,n)=>{"use strict";var r=n(21176).mix,i=n(14932),a=n(60131),o=n(44332),s=n(86773),l=n(35466),c=["xaxis","yaxis","zaxis"],u=13600/187;e.exports=function(e,t,n){var f,d;function h(e,t){return i.coerce(f,d,o,e,t)}for(var p=0;p<c.length;p++){var m=c[p];f=e[m]||{},(d=a.newContainer(t,m))._id=m[0]+n.scene,d._name=m,s(f,d,h,n),l(f,d,h,{font:n.font,letter:m[0],data:n.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:n.bgColor,calendar:n.calendar},n.fullLayout),h("gridcolor",r(d.color,n.bgColor,u).toRgbString()),h("title.text",m[0]),d.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",d.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},66292:(e,t,n)=>{"use strict";var r=n(12681),i=n(14932),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open 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s=t[a[o]];s.visible?(n.labels[o]=e._meta?i.templateString(s.title.text,e._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(n.labelColor[o]=r(s.title.font.color)),s.title.font.family&&(n.labelFont[o]=s.title.font.family),s.title.font.size&&(n.labelSize[o]=s.title.font.size)),"showline"in s&&(n.lineEnable[o]=s.showline),"linecolor"in s&&(n.lineColor[o]=r(s.linecolor)),"linewidth"in s&&(n.lineWidth[o]=s.linewidth),"showgrid"in s&&(n.gridEnable[o]=s.showgrid),"gridcolor"in s&&(n.gridColor[o]=r(s.gridcolor)),"gridwidth"in s&&(n.gridWidth[o]=s.gridwidth),"log"===s.type?n.zeroEnable[o]=!1:"zeroline"in s&&(n.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(n.zeroLineColor[o]=r(s.zerolinecolor)),"zerolinewidth"in s&&(n.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?n.lineTickEnable[o]=!0:n.lineTickEnable[o]=!1,"ticklen"in s&&(n.lineTickLength[o]=n._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(n.lineTickColor[o]=r(s.tickcolor)),"tickwidth"in s&&(n.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(n.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(n.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(n.tickColor[o]=r(s.tickfont.color)),s.tickfont.family&&(n.tickFont[o]=s.tickfont.family),s.tickfont.size&&(n.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(n.lineTickMirror[o]=!0,n.lineMirror[o]=!0):!0===s.mirror?(n.lineTickMirror[o]=!1,n.lineMirror[o]=!0):(n.lineTickMirror[o]=!1,n.lineMirror[o]=!1):n.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(n.backgroundEnable[o]=!0,n.backgroundColor[o]=r(s.backgroundcolor)):n.backgroundEnable[o]=!1):(n.tickEnable[o]=!1,n.labelEnable[o]=!1,n.lineEnable[o]=!1,n.lineTickEnable[o]=!1,n.gridEnable[o]=!1,n.zeroEnable[o]=!1,n.backgroundEnable[o]=!1)}},e.exports=function(e,t){var n=new o;return n.merge(e,t),n}},57829:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906),a=n(25529),o=n(21123),s=n(45691),l=n(35937),c=n(6502).KO,u="gl3d";function f(e,t,n,r){for(var o=n("bgcolor"),l=i.combine(o,r.paper_bgcolor),f=["up","center","eye"],d=0;d<f.length;d++)n("camera."+f[d]+".x"),n("camera."+f[d]+".y"),n("camera."+f[d]+".z");n("camera.projection.type");var h=!!n("aspectratio.x")&&!!n("aspectratio.y")&&!!n("aspectratio.z"),p=n("aspectmode",h?"manual":"auto");h||(e.aspectratio=t.aspectratio={x:1,y:1,z:1},"manual"===p&&(t.aspectmode="auto"),e.aspectmode=t.aspectmode);var m=c(r.fullData,u,r.id);s(e,t,{font:r.font,scene:r.id,data:m,bgColor:l,calendar:r.calendar,autotypenumbersDflt:r.autotypenumbersDflt,fullLayout:r.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(e,t,r);var g=r.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",e.camera&&e.camera.up){var v=e.camera.up.x,y=e.camera.up.y,b=e.camera.up.z;0!==b&&(v&&y&&b?b/Math.sqrt(v*v+y*y+b*b)>.999&&(g="turntable"):g="turntable")}else g="turntable";n("dragmode",g),n("hovermode",r.getDfltFromLayout("hovermode"))}e.exports=function(e,t,n){var i=t._basePlotModules.length>1;o(e,t,n,{type:u,attributes:l,handleDefaults:f,fullLayout:t,font:t.font,fullData:n,getDfltFromLayout:function(t){if(!i)return r.validate(e[t],l[t])?e[t]:void 0},autotypenumbersDflt:t.autotypenumbers,paper_bgcolor:t.paper_bgcolor,calendar:t.calendar})}},35937:(e,t,n)=>{"use strict";var r=n(44332),i=n(28039).u,a=n(62134).extendFlat,o=n(14932).counterRegex;function s(e,t,n){return{x:{valType:"number",dflt:e,editType:"camera"},y:{valType:"number",dflt:t,editType:"camera"},z:{valType:"number",dflt:n,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{description:["Sets the (x,y,z) components of the 'up' camera vector.","This vector determines the up direction of this scene","with respect to the page.","The default is *{x: 0, y: 0, z: 1}* which means that","the z axis points up."].join(" ")}),center:a(s(0,0,0),{description:["Sets the (x,y,z) components of the 'center' camera vector","This vector determines the translation (x,y,z) space","about the center of this scene.","By default, there is no such translation."].join(" ")}),eye:a(s(1.25,1.25,1.25),{description:["Sets the (x,y,z) components of the 'eye' camera vector.","This vector determines the view point about the origin","of this scene."].join(" ")}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc",description:["Sets the projection type. The projection type could be","either *perspective* or *orthographic*. The default is","*perspective*."].join(" ")},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0},description:["If *cube*, this scene's axes are drawn as a cube,","regardless of the axes' ranges.","If *data*, this scene's axes are drawn","in proportion with the axes' ranges.","If *manual*, this scene's axes are drawn","in proportion with the input of *aspectratio*","(the default behavior if *aspectratio* is provided).","If *auto*, this scene's axes are drawn","using the results of *data* except when one axis","is more than four times the size of the two others,","where in that case the results of *cube* are used."].join(" ")},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"},description:["Sets this scene's axis aspectratio."].join(" ")},xaxis:r,yaxis:r,zaxis:r,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot",description:["Determines the mode of drag interactions for this scene."].join(" ")},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar",description:["Determines the mode of hover interactions for this scene."].join(" ")},uirevision:{valType:"any",editType:"none",description:["Controls persistence of user-driven changes in camera attributes.","Defaults to `layout.uirevision`."].join(" ")},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera",description:"Obsolete. Use `camera` instead."}}}},77388:(e,t,n)=>{"use strict";var r=n(12681),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(e){for(var t=0;t<3;++t){var n=e[i[t]];n.visible?(this.enabled[t]=n.showspikes,this.colors[t]=r(n.spikecolor),this.drawSides[t]=n.spikesides,this.lineWidth[t]=n.spikethickness):(this.enabled[t]=!1,this.drawSides[t]=!1)}},e.exports=function(e){var t=new a;return t.merge(e),t}},29651:(e,t,n)=>{"use strict";e.exports=function(e){for(var t=e.axesOptions,n=e.glplot.axesPixels,s=e.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(n[c].hi-n[c].lo)*n[c].pixelsPerDataUnit/e.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=n[c].lo/e.dataScale[c],u.range[1]=n[c].hi/e.dataScale[c],u._m=1/(e.dataScale[c]*n[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var d=u.nticks||i.constrain(u._length/40,4,9);r.autoTicks(u,Math.abs(u.range[1]-u.range[0])/d)}for(var h=r.calcTicks(u,{msUTC:!0}),p=0;p<h.length;++p)h[p].x=h[p].x*e.dataScale[c],"date"===u.type&&(h[p].text=h[p].text.replace(/\<br\>/g," "));l[c]=h,u.tickmode=f}}t.ticks=l;for(c=0;c<3;++c){o[c]=.5*(e.glplot.bounds[0][c]+e.glplot.bounds[1][c]);for(p=0;p<2;++p)t.bounds[p][c]=e.glplot.bounds[p][c]}e.contourLevels=function(e){for(var t=new Array(3),n=0;n<3;++n){for(var r=e[n],i=new Array(r.length),a=0;a<r.length;++a)i[a]=r[a].x;t[n]=i}return t}(l)};var r=n(70465),i=n(14932),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},56945:e=>{"use strict";function t(e,t){var n,r,i=[0,0,0,0];for(n=0;n<4;++n)for(r=0;r<4;++r)i[r]+=e[4*n+r]*t[n];return i}e.exports=function(e,n){return t(e.projection,t(e.view,t(e.model,[n[0],n[1],n[2],1])))}},18368:(e,t,n)=>{"use strict";var r,i,a=n(3307).gl_plot3d,o=a.createCamera,s=a.createScene,l=n(62511),c=n(56590),u=n(25529),f=n(14932),d=f.preserveDrawingBuffer(),h=n(70465),p=n(37940),m=n(12681),g=n(55561),v=n(56945),y=n(66292),b=n(77388),x=n(29651),_=n(3090).applyAutorangeOptions,A=!1;function w(e,t){var n=document.createElement("div"),r=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",n.appendChild(i),this.svgContainer=i,n.id=e.id,n.style.position="absolute",n.style.top=n.style.left="0px",n.style.width=n.style.height="100%",r.appendChild(n),this.fullLayout=t,this.id=e.id||"scene",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(t,t[this.id]),this.spikeOptions=b(t[this.id]),this.container=n,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=w.prototype;k.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:d,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!(i||(r=document.createElement("canvas"),i=l({canvas:r,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=r}return t};var E=!0;k.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),n=!0;try{e.glplot=s(t)}catch(r){if(e.staticMode||!E||d)n=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{d=t.glOptions.preserveDrawingBuffer=!0,e.glplot=s(t)}catch(e){d=t.glOptions.preserveDrawingBuffer=!1,n=!1}}}return E=!1,n},k.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,n="orthographic"===t.projection.type;e.camera=o(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:n,zoomMin:.01,zoomMax:100,mode:"orbit"})},k.initializeGLPlot=function(){var e=this;if(e.initializeGLCamera(),!e.tryCreatePlot())return g(e);e.traces={},e.make4thDimension();var t=e.graphDiv,n=t.layout,r=function(){var t={};return e.isCameraChanged(n)&&(t[e.id+".camera"]=e.getCamera()),e.isAspectChanged(n)&&(t[e.id+".aspectratio"]=e.glplot.getAspectratio(),"manual"!==n[e.id].aspectmode&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=t[e.id+".aspectmode"]="manual")),t},i=function(e){if(!1!==e.fullSceneLayout.dragmode){var t=r();e.saveLayout(n),e.graphDiv.emit("plotly_relayout",t)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener("mouseup",(function(){i(e)})),e.glplot.canvas.addEventListener("touchstart",(function(){A=!0})),e.glplot.canvas.addEventListener("wheel",(function(n){if(t._context._scrollZoom.gl3d){if(e.camera._ortho){var r=n.deltaX>n.deltaY?1.1:1/1.1,a=e.glplot.getAspectratio();e.glplot.setAspectratio({x:r*a.x,y:r*a.y,z:r*a.z})}i(e)}}),!!c&&{passive:!1}),e.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==e.fullSceneLayout.dragmode&&0!==e.camera.mouseListener.buttons){var t=r();e.graphDiv.emit("plotly_relayouting",t)}})),e.staticMode||e.glplot.canvas.addEventListener("webglcontextlost",(function(n){t&&t.emit&&t.emit("plotly_webglcontextlost",{event:n,layer:e.id})}),!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0},k.render=function(){var e,t=this,n=t.graphDiv,r=t.svgContainer,i=t.container.getBoundingClientRect();n._fullLayout._calcInverseTransform(n);var a=n._fullLayout._invScaleX,o=n._fullLayout._invScaleY,s=i.width*a,l=i.height*o;r.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),r.setAttributeNS(null,"width",s),r.setAttributeNS(null,"height",l),x(t),t.glplot.axes.update(t.axesOptions);for(var c=Object.keys(t.traces),u=null,d=t.glplot.selection,m=0;m<c.length;++m)"skip"!==(e=t.traces[c[m]]).data.hoverinfo&&e.handlePick(d)&&(u=e),e.setContourLevels&&e.setContourLevels();function g(e,n,r){var i=t.fullSceneLayout[e+"axis"];return"log"!==i.type&&(n=i.d2l(n)),h.hoverLabelText(i,n,r)}if(null!==u){var y=v(t.glplot.cameraParams,d.dataCoordinate);e=u.data;var b,_=n._fullData[e.index],w=d.index,k={xLabel:g("x",d.traceCoordinate[0],e.xhoverformat),yLabel:g("y",d.traceCoordinate[1],e.yhoverformat),zLabel:g("z",d.traceCoordinate[2],e.zhoverformat)},E=p.castHoverinfo(_,t.fullLayout,w),T=(E||"").split("+"),M=E&&"all"===E;_.hovertemplate||M||(-1===T.indexOf("x")&&(k.xLabel=void 0),-1===T.indexOf("y")&&(k.yLabel=void 0),-1===T.indexOf("z")&&(k.zLabel=void 0),-1===T.indexOf("text")&&(d.textLabel=void 0),-1===T.indexOf("name")&&(u.name=void 0));var S=[];"cone"===e.type||"streamtube"===e.type?(k.uLabel=g("x",d.traceCoordinate[3],e.uhoverformat),(M||-1!==T.indexOf("u"))&&S.push("u: "+k.uLabel),k.vLabel=g("y",d.traceCoordinate[4],e.vhoverformat),(M||-1!==T.indexOf("v"))&&S.push("v: "+k.vLabel),k.wLabel=g("z",d.traceCoordinate[5],e.whoverformat),(M||-1!==T.indexOf("w"))&&S.push("w: "+k.wLabel),k.normLabel=d.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf("norm"))&&S.push("norm: "+k.normLabel),"streamtube"===e.type&&(k.divergenceLabel=d.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf("divergence"))&&S.push("divergence: "+k.divergenceLabel)),d.textLabel&&S.push(d.textLabel),b=S.join("<br>")):"isosurface"===e.type||"volume"===e.type?(k.valueLabel=h.hoverLabelText(t._mockAxis,t._mockAxis.d2l(d.traceCoordinate[3]),e.valuehoverformat),S.push("value: "+k.valueLabel),d.textLabel&&S.push(d.textLabel),b=S.join("<br>")):b=d.textLabel;var O={x:d.traceCoordinate[0],y:d.traceCoordinate[1],z:d.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};p.appendArrayPointValue(O,_,w),e._module.eventData&&(O=_._module.eventData(O,d,_,{},w));var C={points:[O]};if(t.fullSceneLayout.hovermode){var 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n=this,r=n.camera;if(r)if("orbit"===e)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===e){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var i=n.graphDiv,a=i._fullLayout,o=n.fullSceneLayout.camera,s=o.up.x,l=o.up.y,c=o.up.z;if(c/Math.sqrt(s*s+l*l+c*c)<.999){var d=n.id+".camera.up",h={x:0,y:0,z:1},p={};p[d]=h;var m=i.layout;u.call("_storeDirectGUIEdit",m,a._preGUI,p),o.up=h,f.nestedProperty(m,d).set(h)}}else r.keyBindingMode=e;n.fullSceneLayout.hovermode=t},k.toImage=function(e){var t=this;e||(e="png"),t.staticMode&&t.container.appendChild(r),t.glplot.redraw();var n=t.glplot.gl,i=n.drawingBufferWidth,a=n.drawingBufferHeight;n.bindFramebuffer(n.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);n.readPixels(0,0,i,a,n.RGBA,n.UNSIGNED_BYTE,o),function(e,t,n){for(var r=0,i=n-1;r<i;++r,--i)for(var a=0;a<t;++a)for(var o=0;o<4;++o){var s=4*(t*r+a)+o,l=4*(t*i+a)+o,c=e[s];e[s]=e[l],e[l]=c}}(o,i,a),function(e,t,n){for(var r=0;r<n;++r)for(var i=0;i<t;++i){var a=4*(t*r+i),o=e[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var l,c=s.getContext("2d",{willReadFrequently:!0}),u=c.createImageData(i,a);switch(u.data.set(o),c.putImageData(u,0,0),e){case"jpeg":l=s.toDataURL("image/jpeg");break;case"webp":l=s.toDataURL("image/webp");break;default:l=s.toDataURL("image/png")}return t.staticMode&&t.container.removeChild(r),l},k.setConvert=function(){for(var e=0;e<3;e++){var t=this.fullSceneLayout[T[e]];h.setConvert(t,this.fullLayout),t.setScale=f.noop}},k.make4thDimension=function(){var e=this,t=e.graphDiv._fullLayout;e._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},h.setConvert(e._mockAxis,t)},e.exports=w},71093:(e,t,n)=>{"use strict";var r=n(45436),i=n(67629),a=n(53416),o=n(71950),s=n(72804),l=n(58708),c=n(62134).extendFlat,u=r({editType:"calc",description:["Sets the global font.","Note that fonts used in traces and other","layout components 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`y` refers to.","*container* spans the entire `height` of the plot.","*paper* refers to the height of the plotting area only."].join(" ")},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle",description:["Sets the x position with respect to `xref` in normalized","coordinates from *0* (left) to *1* (right)."].join(" ")},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle",description:["Sets the y position with respect to `yref` in normalized","coordinates from *0* (bottom) to *1* (top).","*auto* places the baseline of the title onto the","vertical center of the top margin."].join(" ")},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle",description:["Sets the title's horizontal alignment with respect to its x position.","*left* means that the title starts at x,","*right* means that the title ends at x","and *center* means that the title's center is at x.","*auto* divides `xref` by three and calculates the 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Invalid values will be reset to the default 1."].join(" ")},editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot",description:["Determines how the font size for various text","elements are uniformed between each trace type.","If the computed text sizes were smaller than","the minimum size defined by `uniformtext.minsize`","using *hide* option hides the text; and","using *show* option shows the text without further downscaling.","Please note that if the size defined by `minsize` is greater than","the font size defined by trace, then the `minsize` is used."].join(" ")},minsize:{valType:"number",min:0,dflt:0,editType:"plot",description:["Sets the minimum text size between traces of the same type."].join(" ")},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none",description:["Determines whether or not a layout width or height","that has been left undefined by the user","is initialized on each relayout.","Note that, regardless of this attribute,","an undefined layout width or height","is always initialized on the first call to plot."].join(" ")},width:{valType:"number",min:10,dflt:700,editType:"plot",description:["Sets the plot's width (in px)."].join(" ")},height:{valType:"number",min:10,dflt:450,editType:"plot",description:["Sets the plot's height (in px)."].join(" ")},minreducedwidth:{valType:"number",min:2,dflt:64,editType:"plot",description:"Minimum width of the plot with margin.automargin applied (in px)"},minreducedheight:{valType:"number",min:2,dflt:64,editType:"plot",description:"Minimum height of the plot with margin.automargin applied (in px)"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot",description:"Sets the left margin (in px)."},r:{valType:"number",min:0,dflt:80,editType:"plot",description:"Sets the right margin (in px)."},t:{valType:"number",min:0,dflt:100,editType:"plot",description:"Sets the top margin (in px)."},b:{valType:"number",min:0,dflt:80,editType:"plot",description:"Sets the bottom margin (in px)."},pad:{valType:"number",min:0,dflt:0,editType:"plot",description:["Sets the amount of padding (in px)","between the plotting area and the axis lines"].join(" ")},autoexpand:{valType:"boolean",dflt:!0,editType:"plot",description:["Turns on/off margin expansion computations.","Legends, colorbars, updatemenus, sliders, axis rangeselector and rangeslider","are allowed to push the margins by defaults."].join(" ")},editType:"plot"},computed:{valType:"any",editType:"none",description:["Placeholder for exporting automargin-impacting values namely","`margin.t`, `margin.b`, `margin.l` and `margin.r` in *full-json* mode."].join(" ")},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot",description:"Sets the background color of the paper where the graph is drawn."},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle",description:["Sets the background color of the plotting area in-between x and y axes."].join(" ")},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc",description:["Using *strict* a numeric string in trace data is not converted to a number.","Using *convert types* a numeric string in trace data may be","treated as a number during automatic axis `type` detection.","This is the default value; however it could be overridden for individual axes."].join(" ")},separators:{valType:"string",editType:"plot",description:["Sets the decimal and thousand separators.","For example, *. * puts a '.' before decimals and a space","between thousands. 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0===f&&(u.poffset=d+(p-h)/2))}}function p(e,t){for(var n=t.traces,r=b(e),a=0;a<n.length;a++)for(var o=n[a],s=o[0].t,l=s.poffset,c=i(l),u=s.barwidth,f=i(u),d=0;d<o.length;d++){var h=o[d],p=h.w=f?u[d]:u;void 0===h.p&&(h.p=h[r],h["orig_"+r]=h[r]);var m=(c?l[d]:l)+p/2;h[r]=h.p+m}}function m(e,t,n){var r=t.traces,a=t.minDiff/2;s.minDtick(e,t.minDiff,t.distinctPositions[0],n);for(var o=0;o<r.length;o++){var l,c,u,f,d=r[o],h=d[0],p=h.trace,m=[];for(f=0;f<d.length;f++)c=(l=d[f]).p-a,u=l.p+a,m.push(c,u);if(p.width||p.offset){var g=h.t,v=g.poffset,y=g.barwidth,b=i(v),x=i(y);for(f=0;f<d.length;f++){l=d[f];var _=b?v[f]:v,A=x?y[f]:y;u=(c=l.p+_)+A,m.push(c,u)}}p._extremes[e._id]=s.findExtremes(e,m,{padded:!1})}}function g(e,t){for(var n=t.traces,r=b(e),i=0;i<n.length;i++){for(var a=n[i],o=a[0].trace,l="scatter"===o.type,c="v"===o.orientation,u=[],f=!1,d=0;d<a.length;d++){var 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d=a[f];if(!0===d.visible&&o.traceIs(d,"bar")&&d.xaxis===n._id&&d.yaxis===r._id&&("h"===d.orientation?l.push(s[f]):c.push(s[f]),d._computePh))for(var h=e.calcdata[f],p=0;p<h.length;p++)"function"==typeof h[p].ph0&&(h[p].ph0=h[p].ph0()),"function"==typeof h[p].ph1&&(h[p].ph1=h[p].ph1())}var m={xCat:"category"===n.type||"multicategory"===n.type,yCat:"category"===r.type||"multicategory"===r.type,mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};u(e,n,r,c,m),u(e,r,n,l,m)},setGroupPositions:u}},47175:(e,t,n)=>{"use strict";var r=n(2964),i=n(14932),a=n(39906),o=n(25529),s=n(29796),l=n(62706),c=n(32945),u=n(82934),f=n(73392),d=i.coerceFont;function h(e){if(r(e)){if((e=+e)>=0)return e}else if("string"==typeof e&&"%"===(e=e.trim()).slice(-1)&&r(e.slice(0,-1))&&(e=+e.slice(0,-1))>=0)return e+"%"}function p(e,t,n,r,a,o){var s=!(!1===(o=o||{}).moduleHasSelected),l=!(!1===o.moduleHasUnselected),c=!(!1===o.moduleHasConstrain),u=!(!1===o.moduleHasCliponaxis),f=!(!1===o.moduleHasTextangle),h=!(!1===o.moduleHasInsideanchor),p=!!o.hasPathbar,m=Array.isArray(a)||"auto"===a,g=m||"inside"===a,v=m||"outside"===a;if(g||v){var y=d(r,"textfont",n.font),b=i.extendFlat({},y),x=!(e.textfont&&e.textfont.color);if(x&&delete b.color,d(r,"insidetextfont",b),p){var _=i.extendFlat({},y);x&&delete _.color,d(r,"pathbar.textfont",_)}v&&d(r,"outsidetextfont",y),s&&r("selected.textfont.color"),l&&r("unselected.textfont.color"),c&&r("constraintext"),u&&r("cliponaxis"),f&&r("textangle"),r("texttemplate")}g&&h&&r("insidetextanchor")}e.exports={supplyDefaults:function(e,t,n,r){function u(n,r){return i.coerce(e,t,f,n,r)}if(s(e,t,r,u)){l(e,t,r,u),u("xhoverformat"),u("yhoverformat"),u("zorder"),u("orientation",t.x&&!t.y?"h":"v"),u("base"),u("offset"),u("width"),u("text"),u("hovertext"),u("hovertemplate");var d=u("textposition");p(e,t,r,u,d,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),c(e,t,u,n,r);var h=(t.marker.line||{}).color,m=o.getComponentMethod("errorbars","supplyDefaults");m(e,t,h||a.defaultLine,{axis:"y"}),m(e,t,h||a.defaultLine,{axis:"x",inherit:"y"}),i.coerceSelectionMarkerOpacity(t,u)}else t.visible=!1},crossTraceDefaults:function(e,t){var n,r;function a(e,t){return i.coerce(r._input,r,f,e,t)}for(var o=0;o<e.length;o++)if("bar"===(r=e[o]).type){n=r._input;var s=a("marker.cornerradius",t.barcornerradius);r.marker&&(r.marker.cornerradius=h(s)),"group"===t.barmode&&u(n,r,t,a)}},handleText:p,validateCornerradius:h}},54268:e=>{"use strict";e.exports=function(e,t,n){return e.x="xVal"in t?t.xVal:t.x,e.y="yVal"in t?t.yVal:t.y,t.xa&&(e.xaxis=t.xa),t.ya&&(e.yaxis=t.ya),"h"===n.orientation?(e.label=e.y,e.value=e.x):(e.label=e.x,e.value=e.y),e}},69e3:(e,t,n)=>{"use strict";var r=n(2964),i=n(21176),a=n(14932).isArrayOrTypedArray;t.coerceString=function(e,t,n){if("string"==typeof t){if(t||!e.noBlank)return t}else if(("number"==typeof t||!0===t)&&!e.strict)return String(t);return void 0!==n?n:e.dflt},t.coerceNumber=function(e,t,n){if(r(t)){t=+t;var i=e.min,a=e.max;if(!(void 0!==i&&t<i||void 0!==a&&t>a))return t}return void 0!==n?n:e.dflt},t.coerceColor=function(e,t,n){return i(t).isValid()?t:void 0!==n?n:e.dflt},t.coerceEnumerated=function(e,t,n){return e.coerceNumber&&(t=+t),-1!==e.values.indexOf(t)?t:void 0!==n?n:e.dflt},t.getValue=function(e,t){var n;return a(e)?t<e.length&&(n=e[t]):n=e,n},t.getLineWidth=function(e,t){return 0<t.mlw?t.mlw:a(e.marker.line.width)?0:e.marker.line.width}},64087:(e,t,n)=>{"use strict";var r=n(37940),i=n(25529),a=n(39906),o=n(14932).fillText,s=n(69e3).getLineWidth,l=n(70465).hoverLabelText,c=n(79308).BADNUM;function u(e,t,n,i,a){var 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t=r.select(e).selectAll('g[class^="barlayer"]').selectAll("g.trace");l(e,t,"bar");var n=t.size(),i=e._fullLayout;t.style("opacity",(function(e){return e[0].trace.opacity})).each((function(e){("stack"===i.barmode&&n>1||0===i.bargap&&0===i.bargroupgap&&!e[0].trace.marker.line.width)&&r.select(this).attr("shape-rendering","crispEdges")})),t.selectAll("g.points").each((function(t){p(r.select(this),t[0].trace,e)})),s.getComponentMethod("errorbars","style")(t)},styleTextPoints:m,styleOnSelect:function(e,t,n){var i=t[0].trace;i.selectedpoints?function(e,t,n){a.selectedPointStyle(e.selectAll("path"),t),function(e,t,n){e.each((function(e){var i,s=r.select(this);if(e.selected){i=o.ensureUniformFontSize(n,g(s,e,t,n));var l=t.selected.textfont&&t.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,t)}))}(e.selectAll("text"),t,n)}(n,i,e):(p(n,i,e),s.getComponentMethod("errorbars","style")(n))},getInsideTextFont:y,getOutsideTextFont:b,getBarColor:_,resizeText:l}},32945:(e,t,n)=>{"use strict";var r=n(39906),i=n(17148).hasColorscale,a=n(10011),o=n(14932).coercePattern;e.exports=function(e,t,n,s,l){var c=n("marker.color",s),u=i(e,"marker");u&&a(e,t,l,n,{prefix:"marker.",cLetter:"c"}),n("marker.line.color",r.defaultLine),i(e,"marker.line")&&a(e,t,l,n,{prefix:"marker.line.",cLetter:"c"}),n("marker.line.width"),n("marker.opacity"),o(n,"marker.pattern",c,u),n("selected.marker.color"),n("unselected.marker.color")}},86375:(e,t,n)=>{"use strict";var r=n(90607),i=n(14932);function a(e){return"_"+e+"Text_minsize"}e.exports={recordMinTextSize:function(e,t,n){if(n.uniformtext.mode){var r=a(e),i=n.uniformtext.minsize,o=t.scale*t.fontSize;t.hide=o<i,n[r]=n[r]||1/0,t.hide||(n[r]=Math.min(n[r],Math.max(o,i)))}},clearMinTextSize:function(e,t){t[a(e)]=void 0},resizeText:function(e,t,n){var a=e._fullLayout,o=a["_"+n+"Text_minsize"];if(o){var s,l="hide"===a.uniformtext.mode;switch(n){case"funnelarea":case"pie":case"sunburst":s="g.slice";break;case"treemap":case"icicle":s="g.slice, g.pathbar";break;default:s="g.points > g.point"}t.selectAll(s).each((function(e){var t=e.transform;if(t){t.scale=l&&t.hide?0:o/t.fontSize;var n=r.select(this).select("text");i.setTransormAndDisplay(n,t)}}))}}}},10012:(e,t,n)=>{"use strict";var r=n(9797),i=n(24929),a=n(73392),o=n(53416),s=n(36899).axisHoverFormat,l=n(80009).rb,c=n(62134).extendFlat,u=i.marker,f=u.line;e.exports={y:{valType:"data_array",editType:"calc+clearAxisTypes",description:["Sets the y sample data or coordinates.","See overview for more info."].join(" ")},x:{valType:"data_array",editType:"calc+clearAxisTypes",description:["Sets the x sample data or coordinates.","See overview for more info."].join(" ")},x0:{valType:"any",editType:"calc+clearAxisTypes",description:["Sets the x coordinate for single-box traces","or the starting coordinate for multi-box traces","set using q1/median/q3.","See overview for more info."].join(" ")},y0:{valType:"any",editType:"calc+clearAxisTypes",description:["Sets the y coordinate for single-box traces","or the starting coordinate for multi-box traces","set using q1/median/q3.","See overview for more info."].join(" ")},dx:{valType:"number",editType:"calc",description:["Sets the x coordinate step for multi-box traces","set using q1/median/q3."].join(" ")},dy:{valType:"number",editType:"calc",description:["Sets the y coordinate step for multi-box traces","set using q1/median/q3."].join(" ")},xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s("x"),yhoverformat:s("y"),name:{valType:"string",editType:"calc+clearAxisTypes",description:["Sets the trace name.","The trace name appears as the legend item and on hover.","For box traces, the name will also be used for the position","coordinate, if `x` and `x0` (`y` and `y0` if horizontal) are","missing and the position axis is categorical"].join(" ")},q1:{valType:"data_array",editType:"calc+clearAxisTypes",description:["Sets the Quartile 1 values.","There should be as many items as the number of boxes desired."].join(" ")},median:{valType:"data_array",editType:"calc+clearAxisTypes",description:["Sets the median values.","There should be as many items as the number of boxes desired."].join(" ")},q3:{valType:"data_array",editType:"calc+clearAxisTypes",description:["Sets the Quartile 3 values.","There should be as many items as the number of boxes desired."].join(" ")},lowerfence:{valType:"data_array",editType:"calc",description:["Sets the lower fence values.","There should be as many items as the number of boxes desired.","This attribute has effect only under the q1/median/q3 signature.","If `lowerfence` is not provided but a sample (in `y` or `x`) is set,","we compute the lower as the last sample point below 1.5 times the IQR."].join(" ")},upperfence:{valType:"data_array",editType:"calc",description:["Sets the upper fence values.","There should be as many items as the number of boxes desired.","This attribute has effect only under the q1/median/q3 signature.","If `upperfence` is not provided but a sample (in `y` or `x`) is set,","we compute the upper as the last sample point above 1.5 times the IQR."].join(" ")},notched:{valType:"boolean",editType:"calc",description:["Determines whether or not notches are drawn.","Notches displays a confidence interval around the median.","We compute the confidence interval as median +/- 1.57 * IQR / sqrt(N),","where IQR is the interquartile range and N is the sample size.","If two boxes' notches do not overlap there is 95% confidence their medians differ.","See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info.","Defaults to *false* unless `notchwidth` or `notchspan` is set."].join(" ")},notchwidth:{valType:"number",min:0,max:.5,dflt:.25,editType:"calc",description:["Sets the width of the notches relative to","the box' width.","For example, with 0, the notches are as wide as the box(es)."].join(" ")},notchspan:{valType:"data_array",editType:"calc",description:["Sets the notch span from the boxes' `median` values.","There should be as many items as the number of boxes desired.","This attribute has effect only under the q1/median/q3 signature.","If `notchspan` is not provided but a sample (in `y` or `x`) is set,","we compute it as 1.57 * IQR / sqrt(N),","where N is the sample size."].join(" ")},boxpoints:{valType:"enumerated",values:["all","outliers","suspectedoutliers",!1],editType:"calc",description:["If *outliers*, only the sample points lying outside the whiskers","are shown","If *suspectedoutliers*, the outlier points are shown and","points either less than 4*Q1-3*Q3 or greater than 4*Q3-3*Q1","are highlighted (see `outliercolor`)","If *all*, all sample points are shown","If *false*, only the box(es) are shown with no sample points","Defaults to *suspectedoutliers* when `marker.outliercolor` or","`marker.line.outliercolor` is set.","Defaults to *all* under the q1/median/q3 signature.","Otherwise defaults to *outliers*."].join(" ")},jitter:{valType:"number",min:0,max:1,editType:"calc",description:["Sets the amount of jitter in the sample points drawn.","If *0*, the sample points align along the distribution axis.","If *1*, the sample points are drawn in a random jitter of width","equal to the width of the box(es)."].join(" ")},pointpos:{valType:"number",min:-2,max:2,editType:"calc",description:["Sets the position of the sample points in relation to the box(es).","If *0*, the sample points are places over the center of the box(es).","Positive (negative) values correspond to positions to the","right (left) for vertical boxes and above (below) for horizontal boxes"].join(" ")},sdmultiple:{valType:"number",min:0,editType:"calc",dflt:1,description:["Scales the box size when sizemode=sd","Allowing boxes to be drawn across any stddev range","For example 1-stddev, 3-stddev, 5-stddev"].join(" ")},sizemode:{valType:"enumerated",values:["quartiles","sd"],editType:"calc",dflt:"quartiles",description:["Sets the upper and lower bound for the boxes","quartiles means box is drawn between Q1 and Q3","SD means the box is drawn between Mean +- Standard Deviation","Argument sdmultiple (default 1) to scale the box size","So it could be drawn 1-stddev, 3-stddev etc"].join(" ")},boxmean:{valType:"enumerated",values:[!0,"sd",!1],editType:"calc",description:["If *true*, the mean of the box(es)' underlying distribution is","drawn as a dashed line inside the box(es).","If *sd* the standard deviation is also drawn.","Defaults to *true* when `mean` is set.","Defaults to *sd* when `sd` is set","Otherwise defaults to *false*."].join(" ")},mean:{valType:"data_array",editType:"calc",description:["Sets the mean values.","There should be as many items as the number of boxes desired.","This attribute has effect only under the q1/median/q3 signature.","If `mean` is not provided but a sample (in `y` or `x`) is set,","we compute the mean for each box using the sample values."].join(" ")},sd:{valType:"data_array",editType:"calc",description:["Sets the standard deviation values.","There should be as many items as the number of boxes desired.","This attribute has effect only under the q1/median/q3 signature.","If `sd` is not provided but a sample (in `y` or `x`) is set,","we compute the standard deviation for each box using the sample values."].join(" ")},orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes",description:["Sets the orientation of the box(es).","If *v* (*h*), the distribution is visualized along","the vertical (horizontal)."].join(" ")},quartilemethod:{valType:"enumerated",values:["linear","exclusive","inclusive"],dflt:"linear",editType:"calc",description:["Sets the method used to compute the sample's Q1 and Q3 quartiles.","The *linear* method uses the 25th percentile for Q1 and 75th percentile for Q3","as computed using method #10 (listed on http://jse.amstat.org/v14n3/langford.html).","The *exclusive* method uses the median to divide the ordered dataset into two halves","if the sample is odd, it does not include the median in either half -","Q1 is then the median of the lower half and","Q3 the median of the upper half.","The *inclusive* method also uses the median to divide the ordered dataset into two halves","but if the sample is odd, it includes the median in both halves -","Q1 is then the median of the lower half and","Q3 the median of the upper half."].join(" ")},width:{valType:"number",min:0,dflt:0,editType:"calc",description:["Sets the width of the box in data coordinate","If *0* (default value) the width is automatically selected based on the positions","of other box traces in the same subplot."].join(" ")},marker:{outliercolor:{valType:"color",dflt:"rgba(0, 0, 0, 0)",editType:"style",description:"Sets the color of the outlier sample points."},symbol:c({},u.symbol,{arrayOk:!1,editType:"plot"}),opacity:c({},u.opacity,{arrayOk:!1,dflt:1,editType:"style"}),angle:c({},u.angle,{arrayOk:!1,editType:"calc"}),size:c({},u.size,{arrayOk:!1,editType:"calc"}),color:c({},u.color,{arrayOk:!1,editType:"style"}),line:{color:c({},f.color,{arrayOk:!1,dflt:o.defaultLine,editType:"style"}),width:c({},f.width,{arrayOk:!1,dflt:0,editType:"style"}),outliercolor:{valType:"color",editType:"style",description:["Sets the border line color of the outlier sample points.","Defaults to marker.color"].join(" ")},outlierwidth:{valType:"number",min:0,dflt:1,editType:"style",description:["Sets the border line width (in px) of the outlier sample points."].join(" ")},editType:"style"},editType:"plot"},line:{color:{valType:"color",editType:"style",description:"Sets the color of line bounding the box(es)."},width:{valType:"number",min:0,dflt:2,editType:"style",description:"Sets the width (in px) of line bounding the box(es)."},editType:"plot"},fillcolor:r(),whiskerwidth:{valType:"number",min:0,max:1,dflt:.5,editType:"calc",description:["Sets the width of the whiskers relative to","the box' width.","For example, with 1, the whiskers are as wide as the box(es)."].join(" ")},showwhiskers:{valType:"boolean",editType:"calc",description:["Determines whether or not whiskers are visible.","Defaults to true for `sizemode` *quartiles*, false for *sd*."].join(" ")},offsetgroup:a.offsetgroup,alignmentgroup:a.alignmentgroup,selected:{marker:i.selected.marker,editType:"style"},unselected:{marker:i.unselected.marker,editType:"style"},text:c({},i.text,{description:["Sets the text elements associated with each sample value.","If a single string, the same string appears over","all the data points.","If an array of string, the items are mapped in order to the","this trace's (x,y) coordinates.","To be seen, trace `hoverinfo` must contain a *text* flag."].join(" ")}),hovertext:c({},i.hovertext,{description:"Same as `text`."}),hovertemplate:l({description:["N.B. This only has an effect when hovering on points."].join(" ")}),hoveron:{valType:"flaglist",flags:["boxes","points"],dflt:"boxes+points",editType:"style",description:["Do the hover effects highlight individual boxes ","or sample points or both?"].join(" ")},zorder:i.zorder}},89884:(e,t,n)=>{"use strict";var r=n(2964),i=n(70465),a=n(16783),o=n(14932),s=n(79308).BADNUM,l=o._;e.exports=function(e,t){var n,c,y,b,x,_,A,w=e._fullLayout,k=i.getFromId(e,t.xaxis||"x"),E=i.getFromId(e,t.yaxis||"y"),T=[],M="violin"===t.type?"_numViolins":"_numBoxes";"h"===t.orientation?(y=k,b="x",x=E,_="y",A=!!t.yperiodalignment):(y=E,b="y",x=k,_="x",A=!!t.xperiodalignment);var S,O,C,N,R,L,P=function(e,t,n,i){var s,l=t in e,c=t+"0"in e,u="d"+t in e;if(l||c&&u){var f=n.makeCalcdata(e,t);return[a(e,n,t,f).vals,f]}s=c?e[t+"0"]:"name"in e&&("category"===n.type||r(e.name)&&-1!==["linear","log"].indexOf(n.type)||o.isDateTime(e.name)&&"date"===n.type)?e.name:i;for(var d="multicategory"===n.type?n.r2c_just_indices(s):n.d2c(s,0,e[t+"calendar"]),h=e._length,p=new Array(h),m=0;m<h;m++)p[m]=d;return[p]}(t,_,x,w[M]),D=P[0],I=P[1],j=o.distinctVals(D,x),F=j.vals,z=j.minDiff/2,B="all"===(t.boxpoints||t.points)?o.identity:function(e){return e.v<S.lf||e.v>S.uf};if(t._hasPreCompStats){var U=t[b],$=function(e){return y.d2c((t[e]||[])[n])},H=1/0,q=-1/0;for(n=0;n<t._length;n++){var V=D[n];if(r(V)){if((S={}).pos=S[_]=V,A&&I&&(S.orig_p=I[n]),S.q1=$("q1"),S.med=$("median"),S.q3=$("q3"),O=[],U&&o.isArrayOrTypedArray(U[n]))for(c=0;c<U[n].length;c++)(L=y.d2c(U[n][c]))!==s&&(u(R={v:L,i:[n,c]},t,[n,c]),O.push(R));if(S.pts=O.sort(f),N=(C=S[b]=O.map(d)).length,S.med!==s&&S.q1!==s&&S.q3!==s&&S.med>=S.q1&&S.q3>=S.med){var W=$("lowerfence");S.lf=W!==s&&W<=S.q1?W:h(S,C,N);var G=$("upperfence");S.uf=G!==s&&G>=S.q3?G:p(S,C,N);var Y=$("mean");S.mean=Y!==s?Y:N?o.mean(C,N):(S.q1+S.q3)/2;var X=$("sd");S.sd=Y!==s&&X>=0?X:N?o.stdev(C,N,S.mean):S.q3-S.q1,S.lo=m(S),S.uo=g(S);var K=$("notchspan");K=K!==s&&K>0?K:v(S,N),S.ln=S.med-K,S.un=S.med+K;var Z=S.lf,J=S.uf;t.boxpoints&&C.length&&(Z=Math.min(Z,C[0]),J=Math.max(J,C[N-1])),t.notched&&(Z=Math.min(Z,S.ln),J=Math.max(J,S.un)),S.min=Z,S.max=J}else{var Q;o.warn(["Invalid input - make sure that q1 <= median <= q3","q1 = "+S.q1,"median = "+S.med,"q3 = "+S.q3].join("\n")),Q=S.med!==s?S.med:S.q1!==s?S.q3!==s?(S.q1+S.q3)/2:S.q1:S.q3!==s?S.q3:0,S.med=Q,S.q1=S.q3=Q,S.lf=S.uf=Q,S.mean=S.sd=Q,S.ln=S.un=Q,S.min=S.max=Q}H=Math.min(H,S.min),q=Math.max(q,S.max),S.pts2=O.filter(B),T.push(S)}}t._extremes[y._id]=i.findExtremes(y,[H,q],{padded:!0})}else{var ee=y.makeCalcdata(t,b),te=function(e,t){for(var n=e.length,r=new Array(n+1),i=0;i<n;i++)r[i]=e[i]-t;return r[n]=e[n-1]+t,r}(F,z),ne=F.length,re=function(e){for(var t=new Array(e),n=0;n<e;n++)t[n]=[];return t}(ne);for(n=0;n<t._length;n++)if(L=ee[n],r(L)){var ie=o.findBin(D[n],te);ie>=0&&ie<ne&&(u(R={v:L,i:n},t,n),re[ie].push(R))}var ae=1/0,oe=-1/0,se=t.quartilemethod,le="exclusive"===se,ce="inclusive"===se;for(n=0;n<ne;n++)if(re[n].length>0){var ue,fe;if((S={}).pos=S[_]=F[n],O=S.pts=re[n].sort(f),N=(C=S[b]=O.map(d)).length,S.min=C[0],S.max=C[N-1],S.mean=o.mean(C,N),S.sd=o.stdev(C,N,S.mean)*t.sdmultiple,S.med=o.interp(C,.5),N%2&&(le||ce))le?(ue=C.slice(0,N/2),fe=C.slice(N/2+1)):ce&&(ue=C.slice(0,N/2+1),fe=C.slice(N/2)),S.q1=o.interp(ue,.5),S.q3=o.interp(fe,.5);else S.q1=o.interp(C,.25),S.q3=o.interp(C,.75);S.lf=h(S,C,N),S.uf=p(S,C,N),S.lo=m(S),S.uo=g(S);var de=v(S,N);S.ln=S.med-de,S.un=S.med+de,ae=Math.min(ae,S.ln),oe=Math.max(oe,S.un),S.pts2=O.filter(B),T.push(S)}t.notched&&o.isTypedArray(ee)&&(ee=Array.from(ee)),t._extremes[y._id]=i.findExtremes(y,t.notched?ee.concat([ae,oe]):ee,{padded:!0})}return function(e,t){if(o.isArrayOrTypedArray(t.selectedpoints))for(var n=0;n<e.length;n++){for(var r=e[n].pts||[],i={},a=0;a<r.length;a++)i[r[a].i]=a;o.tagSelected(r,t,i)}}(T,t),T.length>0?(T[0].t={num:w[M],dPos:z,posLetter:_,valLetter:b,labels:{med:l(e,"median:"),min:l(e,"min:"),q1:l(e,"q1:"),q3:l(e,"q3:"),max:l(e,"max:"),mean:"sd"===t.boxmean||"sd"===t.sizemode?l(e,"mean ± σ:").replace("σ",1===t.sdmultiple?"σ":t.sdmultiple+"σ"):l(e,"mean:"),lf:l(e,"lower fence:"),uf:l(e,"upper fence:")}},w[M]++,T):[{t:{empty:!0}}]};var c={text:"tx",hovertext:"htx"};function u(e,t,n){for(var r in c)o.isArrayOrTypedArray(t[r])&&(Array.isArray(n)?o.isArrayOrTypedArray(t[r][n[0]])&&(e[c[r]]=t[r][n[0]][n[1]]):e[c[r]]=t[r][n])}function f(e,t){return e.v-t.v}function d(e){return e.v}function h(e,t,n){return 0===n?e.q1:Math.min(e.q1,t[Math.min(o.findBin(2.5*e.q1-1.5*e.q3,t,!0)+1,n-1)])}function p(e,t,n){return 0===n?e.q3:Math.max(e.q3,t[Math.max(o.findBin(2.5*e.q3-1.5*e.q1,t),0)])}function m(e){return 4*e.q1-3*e.q3}function g(e){return 4*e.q3-3*e.q1}function v(e,t){return 0===t?0:1.57*(e.q3-e.q1)/Math.sqrt(t)}},18967:(e,t,n)=>{"use strict";var r=n(70465),i=n(14932),a=n(67942).getAxisGroup,o=["v","h"];function s(e,t,n,o){var s,l,c,u=t.calcdata,f=t._fullLayout,d=o._id,h=d.charAt(0),p=[],m=0;for(s=0;s<n.length;s++)for(c=u[n[s]],l=0;l<c.length;l++)p.push(o.c2l(c[l].pos,!0)),m+=(c[l].pts2||[]).length;if(p.length){var g=i.distinctVals(p);"category"!==o.type&&"multicategory"!==o.type||(g.minDiff=1);var v=g.minDiff/2;r.minDtick(o,g.minDiff,g.vals[0],!0);var y=f["violin"===e?"_numViolins":"_numBoxes"],b="group"===f[e+"mode"]&&y>1,x=1-f[e+"gap"],_=1-f[e+"groupgap"];for(s=0;s<n.length;s++){var A,w,k,E,T,M,S=(c=u[n[s]])[0].trace,O=c[0].t,C=S.width,N=S.side;if(C)A=w=E=C/2,k=0;else if(A=v,b){var R=a(f,o._id)+S.orientation,L=(f._alignmentOpts[R]||{})[S.alignmentgroup]||{},P=Object.keys(L.offsetGroups||{}).length,D=P||y;w=A*x*_/D,k=2*A*(((P?S._offsetIndex:O.num)+.5)/D-.5)*x,E=A*x/D}else w=A*x*_,k=0,E=A;O.dPos=A,O.bPos=k,O.bdPos=w,O.wHover=E;var I,j,F,z,B,U,$=k+w,H=Boolean(C);if("positive"===N?(T=A*(C?1:.5),I=$,M=I=k):"negative"===N?(T=I=k,M=A*(C?1:.5),j=$):(T=M=A,I=j=$),(S.boxpoints||S.points)&&m>0){var q=S.pointpos,V=S.jitter,W=S.marker.size/2,G=0;q+V>=0&&((G=$*(q+V))>T?(H=!0,B=W,F=G):G>I&&(B=W,F=T)),G<=T&&(F=T);var Y=0;q-V<=0&&((Y=-$*(q-V))>M?(H=!0,U=W,z=Y):Y>j&&(U=W,z=M)),Y<=M&&(z=M)}else F=T,z=M;var X=new Array(c.length);for(l=0;l<c.length;l++)X[l]=c[l].pos;S._extremes[d]=r.findExtremes(o,X,{padded:H,vpadminus:z,vpadplus:F,vpadLinearized:!0,ppadminus:{x:U,y:B}[h],ppadplus:{x:B,y:U}[h]})}}}e.exports={crossTraceCalc:function(e,t){for(var n=e.calcdata,r=t.xaxis,i=t.yaxis,a=0;a<o.length;a++){for(var l=o[a],c="h"===l?i:r,u=[],f=0;f<n.length;f++){var d=n[f],h=d[0].t,p=d[0].trace;!0!==p.visible||"box"!==p.type&&"candlestick"!==p.type||h.empty||(p.orientation||"v")!==l||p.xaxis!==r._id||p.yaxis!==i._id||u.push(f)}s("box",e,u,c)}},setPositionOffset:s}},79339:(e,t,n)=>{"use strict";var r=n(14932),i=n(25529),a=n(39906),o=n(62706),s=n(82934),l=n(16723),c=n(10012);function u(e,t,n,a){function o(e){var t=0;return e&&e.length&&(t+=1,r.isArrayOrTypedArray(e[0])&&e[0].length&&(t+=1)),t}function s(t){return r.validate(e[t],c[t])}var u,f=n("y"),d=n("x");if("box"===t.type){var h=n("q1"),p=n("median"),m=n("q3");t._hasPreCompStats=h&&h.length&&p&&p.length&&m&&m.length,u=Math.min(r.minRowLength(h),r.minRowLength(p),r.minRowLength(m))}var g,v,y=o(f),b=o(d),x=y&&r.minRowLength(f),_=b&&r.minRowLength(d),A=a.calendar,w={autotypenumbers:a.autotypenumbers};if(t._hasPreCompStats)switch(String(b)+String(y)){case"00":var k=s("x0")||s("dx");g=(s("y0")||s("dy"))&&!k?"h":"v",v=u;break;case"10":g="v",v=Math.min(u,_);break;case"20":g="h",v=Math.min(u,d.length);break;case"01":g="h",v=Math.min(u,x);break;case"02":g="v",v=Math.min(u,f.length);break;case"12":g="v",v=Math.min(u,_,f.length);break;case"21":g="h",v=Math.min(u,d.length,x);break;case"11":v=0;break;case"22":var E,T=!1;for(E=0;E<d.length;E++)if("category"===l(d[E],A,w)){T=!0;break}if(T)g="v",v=Math.min(u,_,f.length);else{for(E=0;E<f.length;E++)if("category"===l(f[E],A,w)){T=!0;break}T?(g="h",v=Math.min(u,d.length,x)):(g="v",v=Math.min(u,_,f.length))}}else y>0?(g="v",v=b>0?Math.min(_,x):Math.min(x)):b>0?(g="h",v=Math.min(_)):v=0;if(v){t._length=v;var M=n("orientation",g);t._hasPreCompStats?"v"===M&&0===b?(n("x0",0),n("dx",1)):"h"===M&&0===y&&(n("y0",0),n("dy",1)):"v"===M&&0===b?n("x0"):"h"===M&&0===y&&n("y0"),i.getComponentMethod("calendars","handleTraceDefaults")(e,t,["x","y"],a)}else t.visible=!1}function f(e,t,n,i){var a=i.prefix,o=r.coerce2(e,t,c,"marker.outliercolor"),s=n("marker.line.outliercolor"),l="outliers";t._hasPreCompStats?l="all":(o||s)&&(l="suspectedoutliers");var u=n(a+"points",l);u?(n("jitter","all"===u?.3:0),n("pointpos","all"===u?-1.5:0),n("marker.symbol"),n("marker.opacity"),n("marker.size"),n("marker.angle"),n("marker.color",t.line.color),n("marker.line.color"),n("marker.line.width"),"suspectedoutliers"===u&&(n("marker.line.outliercolor",t.marker.color),n("marker.line.outlierwidth")),n("selected.marker.color"),n("unselected.marker.color"),n("selected.marker.size"),n("unselected.marker.size"),n("text"),n("hovertext")):delete t.marker;var f=n("hoveron");"all"!==f&&-1===f.indexOf("points")||n("hovertemplate"),r.coerceSelectionMarkerOpacity(t,n)}e.exports={supplyDefaults:function(e,t,n,i){function s(n,i){return r.coerce(e,t,c,n,i)}if(u(e,t,s,i),!1!==t.visible){o(e,t,i,s),s("xhoverformat"),s("yhoverformat");var l=t._hasPreCompStats;l&&(s("lowerfence"),s("upperfence")),s("line.color",(e.marker||{}).color||n),s("line.width"),s("fillcolor",a.addOpacity(t.line.color,.5));var d=!1;if(l){var h=s("mean"),p=s("sd");h&&h.length&&(d=!0,p&&p.length&&(d="sd"))}s("whiskerwidth");var m,g=s("sizemode");"quartiles"===g&&(m=s("boxmean",d)),s("showwhiskers","quartiles"===g),"sd"!==g&&"sd"!==m||s("sdmultiple"),s("width"),s("quartilemethod");var v=!1;if(l){var y=s("notchspan");y&&y.length&&(v=!0)}else r.validate(e.notchwidth,c.notchwidth)&&(v=!0);s("notched",v)&&s("notchwidth"),f(e,t,s,{prefix:"box"}),s("zorder")}},crossTraceDefaults:function(e,t){var n,i;function a(e){return r.coerce(i._input,i,c,e)}for(var o=0;o<e.length;o++){var l=(i=e[o]).type;"box"!==l&&"violin"!==l||(n=i._input,"group"===t[l+"mode"]&&s(n,i,t,a))}},handleSampleDefaults:u,handlePointsDefaults:f}},91904:e=>{"use strict";e.exports=function(e,t){return t.hoverOnBox&&(e.hoverOnBox=t.hoverOnBox),"xVal"in t&&(e.x=t.xVal),"yVal"in t&&(e.y=t.yVal),t.xa&&(e.xaxis=t.xa),t.ya&&(e.yaxis=t.ya),e}},53835:(e,t,n)=>{"use strict";var r=n(70465),i=n(14932),a=n(37940),o=n(39906),s=i.fillText;function l(e,t,n,s){var l,c,u,f,d,h,p,m,g,v,y,b,x,_,A=e.cd,w=e.xa,k=e.ya,E=A[0].trace,T=A[0].t,M="violin"===E.type,S=T.bdPos,O=T.wHover,C=function(e){return u.c2l(e.pos)+T.bPos-u.c2l(h)};M&&"both"!==E.side?("positive"===E.side&&(g=function(e){var t=C(e);return a.inbox(t,t+O,v)},b=S,x=0),"negative"===E.side&&(g=function(e){var t=C(e);return a.inbox(t-O,t,v)},b=0,x=S)):(g=function(e){var t=C(e);return a.inbox(t-O,t+O,v)},b=x=S),_=M?function(e){return a.inbox(e.span[0]-d,e.span[1]-d,v)}:function(e){return a.inbox(e.min-d,e.max-d,v)},"h"===E.orientation?(d=t,h=n,p=_,m=g,l="y",u=k,c="x",f=w):(d=n,h=t,p=g,m=_,l="x",u=w,c="y",f=k);var N=Math.min(1,S/Math.abs(u.r2c(u.range[1])-u.r2c(u.range[0])));function R(e){return(p(e)+m(e))/2}v=e.maxHoverDistance-N,y=e.maxSpikeDistance-N;var L=a.getDistanceFunction(s,p,m,R);if(a.getClosest(A,L,e),!1===e.index)return[];var P=A[e.index],D=E.line.color,I=(E.marker||{}).color;o.opacity(D)&&E.line.width?e.color=D:o.opacity(I)&&E.boxpoints?e.color=I:e.color=E.fillcolor,e[l+"0"]=u.c2p(P.pos+T.bPos-x,!0),e[l+"1"]=u.c2p(P.pos+T.bPos+b,!0),e[l+"LabelVal"]=void 0!==P.orig_p?P.orig_p:P.pos;var j=l+"Spike";e.spikeDistance=R(P)*y/v,e[j]=u.c2p(P.pos,!0);var F=E.boxmean||"sd"===E.sizemode||(E.meanline||{}).visible,z=E.boxpoints||E.points,B=z&&F?["max","uf","q3","med","mean","q1","lf","min"]:z&&!F?["max","uf","q3","med","q1","lf","min"]:!z&&F?["max","q3","med","mean","q1","min"]:["max","q3","med","q1","min"],U=f.range[1]<f.range[0];E.orientation===(U?"v":"h")&&B.reverse();for(var $=e.spikeDistance,H=e[j],q=[],V=0;V<B.length;V++){var W=B[V];if(W in P){var G=P[W],Y=f.c2p(G,!0),X=i.extendFlat({},e);X.attr=W,X[c+"0"]=X[c+"1"]=Y,X[c+"LabelVal"]=G,X[c+"Label"]=(T.labels?T.labels[W]+" ":"")+r.hoverLabelText(f,G,E[c+"hoverformat"]),X.hoverOnBox=!0,"mean"!==W||!("sd"in P)||"sd"!==E.boxmean&&"sd"!==E.sizemode||(X[c+"err"]=P.sd),X.hovertemplate=!1,q.push(X)}}e.name="",e.spikeDistance=void 0,e[j]=void 0;for(var K=0;K<q.length;K++)"med"!==q[K].attr?(q[K].name="",q[K].spikeDistance=void 0,q[K][j]=void 0):(q[K].spikeDistance=$,q[K][j]=H);return q}function c(e,t,n){for(var r,o,l,c=e.cd,u=e.xa,f=e.ya,d=c[0].trace,h=u.c2p(t),p=f.c2p(n),m=a.quadrature((function(e){var t=Math.max(3,e.mrc||0);return Math.max(Math.abs(u.c2p(e.x)-h)-t,1-3/t)}),(function(e){var t=Math.max(3,e.mrc||0);return Math.max(Math.abs(f.c2p(e.y)-p)-t,1-3/t)})),g=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var b=m(l=o.pts[y]);b<=e.distance&&(e.distance=b,g=[v,y])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var x=u.c2p(l.x,!0),_=f.c2p(l.y,!0),A=l.mrc||1;r=i.extendFlat({},e,{index:l.i,color:(d.marker||{}).color,name:d.name,x0:x-A,x1:x+A,y0:_-A,y1:_+A,spikeDistance:e.distance,hovertemplate:d.hovertemplate});var w,k=o.orig_p,E=void 0!==k?k:o.pos;return"h"===d.orientation?(w=f,r.xLabelVal=l.x,r.yLabelVal=E):(w=u,r.xLabelVal=E,r.yLabelVal=l.y),r[w._id.charAt(0)+"Spike"]=w.c2p(o.pos,!0),s(l,d,r),r}e.exports={hoverPoints:function(e,t,n,r){var i,a=e.cd[0].trace.hoveron,o=[];return-1!==a.indexOf("boxes")&&(o=o.concat(l(e,t,n,r))),-1!==a.indexOf("points")&&(i=c(e,t,n)),"closest"===r?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},40881:(e,t,n)=>{"use strict";e.exports={attributes:n(10012),layoutAttributes:n(74807),supplyDefaults:n(79339).supplyDefaults,crossTraceDefaults:n(79339).crossTraceDefaults,supplyLayoutDefaults:n(47856).supplyLayoutDefaults,calc:n(89884),crossTraceCalc:n(18967).crossTraceCalc,plot:n(26606).plot,style:n(22900).style,styleOnSelect:n(22900).styleOnSelect,hoverPoints:n(53835).hoverPoints,eventData:n(91904),selectPoints:n(52125),moduleType:"trace",name:"box",basePlotModule:n(41222),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","boxLayout","zoomScale"],meta:{description:["Each box spans from quartile 1 (Q1) to quartile 3 (Q3).","The second quartile (Q2, i.e. the median) is marked by a line inside the box.","The fences grow outward from the boxes' edges,","by default they span +/- 1.5 times the interquartile range (IQR: Q3-Q1),","The sample mean and standard deviation as well as notches and","the sample, outlier and suspected outliers points can be optionally","added to the box plot.","The values and positions corresponding to each boxes can be input","using two signatures.","The first signature expects users to supply the sample values in the `y`","data array for vertical boxes (`x` for horizontal boxes).","By supplying an `x` (`y`) array, one box per distinct `x` (`y`) value is drawn","If no `x` (`y`) {array} is provided, a single box is drawn.","In this case, the box is positioned with the trace `name` or with `x0` (`y0`) if provided.","The second signature expects users to supply the boxes corresponding Q1, median and Q3","statistics in the `q1`, `median` and `q3` data arrays respectively.","Other box features relying on statistics namely `lowerfence`, `upperfence`, `notchspan`","can be set directly by the users.","To have plotly compute them or to show sample points besides the boxes,","users can set the `y` data array for vertical boxes (`x` for horizontal boxes)","to a 2D array with the outer length corresponding","to the number of boxes in the traces and the inner length corresponding the sample size."].join(" ")}}},74807:e=>{"use strict";e.exports={boxmode:{valType:"enumerated",values:["group","overlay"],dflt:"overlay",editType:"calc",description:["Determines how boxes at the same location coordinate","are displayed on the graph.","If *group*, the boxes are plotted next to one another","centered around the shared location.","If *overlay*, the boxes are plotted over one another,","you might need to set *opacity* to see them multiple boxes.","Has no effect on traces that have *width* set."].join(" ")},boxgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc",description:["Sets the gap (in plot fraction) between boxes of","adjacent location coordinates.","Has no effect on traces that have *width* set."].join(" ")},boxgroupgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc",description:["Sets the gap (in plot fraction) between boxes of","the same location coordinate.","Has no effect on traces that have *width* set."].join(" ")}}},47856:(e,t,n)=>{"use strict";var r=n(25529),i=n(14932),a=n(74807);function o(e,t,n,i,a){for(var o=a+"Layout",s=!1,l=0;l<n.length;l++){var c=n[l];if(r.traceIs(c,o)){s=!0;break}}s&&(i(a+"mode"),i(a+"gap"),i(a+"groupgap"))}e.exports={supplyLayoutDefaults:function(e,t,n){o(0,0,n,(function(n,r){return i.coerce(e,t,a,n,r)}),"box")},_supply:o}},26606:(e,t,n)=>{"use strict";var r=n(90607),i=n(14932),a=n(12228),o=5,s=.01;function l(e,t,n,a,o){var s,l,c="h"===n.orientation,u=t.val,f=t.pos,d=!!f.rangebreaks,h=a.bPos,p=a.wdPos||0,m=a.bPosPxOffset||0,g=n.whiskerwidth||0,v=!1!==n.showwhiskers,y=n.notched||!1,b=y?1-2*n.notchwidth:1;Array.isArray(a.bdPos)?(s=a.bdPos[0],l=a.bdPos[1]):(s=a.bdPos,l=a.bdPos);var x=e.selectAll("path.box").data("violin"!==n.type||n.box.visible?i.identity:[]);x.enter().append("path").style("vector-effect",o?"none":"non-scaling-stroke").attr("class","box"),x.exit().remove(),x.each((function(e){if(e.empty)return r.select(this).attr("d","M0,0Z");var t=f.c2l(e.pos+h,!0),a=f.l2p(t-s)+m,o=f.l2p(t+l)+m,x=d?(a+o)/2:f.l2p(t)+m,_=n.whiskerwidth,A=d?a*_+(1-_)*x:f.l2p(t-p)+m,w=d?o*_+(1-_)*x:f.l2p(t+p)+m,k=f.l2p(t-s*b)+m,E=f.l2p(t+l*b)+m,T="sd"===n.sizemode,M=u.c2p(T?e.mean-e.sd:e.q1,!0),S=T?u.c2p(e.mean+e.sd,!0):u.c2p(e.q3,!0),O=i.constrain(T?u.c2p(e.mean,!0):u.c2p(e.med,!0),Math.min(M,S)+1,Math.max(M,S)-1),C=void 0===e.lf||!1===n.boxpoints||T,N=u.c2p(C?e.min:e.lf,!0),R=u.c2p(C?e.max:e.uf,!0),L=u.c2p(e.ln,!0),P=u.c2p(e.un,!0);c?r.select(this).attr("d","M"+O+","+k+"V"+E+"M"+M+","+a+"V"+o+(y?"H"+L+"L"+O+","+E+"L"+P+","+o:"")+"H"+S+"V"+a+(y?"H"+P+"L"+O+","+k+"L"+L+","+a:"")+"Z"+(v?"M"+M+","+x+"H"+N+"M"+S+","+x+"H"+R+(0===g?"":"M"+N+","+A+"V"+w+"M"+R+","+A+"V"+w):"")):r.select(this).attr("d","M"+k+","+O+"H"+E+"M"+a+","+M+"H"+o+(y?"V"+L+"L"+E+","+O+"L"+o+","+P:"")+"V"+S+"H"+a+(y?"V"+P+"L"+k+","+O+"L"+a+","+L:"")+"Z"+(v?"M"+x+","+M+"V"+N+"M"+x+","+S+"V"+R+(0===g?"":"M"+A+","+N+"H"+w+"M"+A+","+R+"H"+w):""))}))}function c(e,t,n,r){var l=t.x,c=t.y,u=r.bdPos,f=r.bPos,d=n.boxpoints||n.points;i.seedPseudoRandom();var h=e.selectAll("g.points").data(d?function(e){return e.forEach((function(e){e.t=r,e.trace=n})),e}:[]);h.enter().append("g").attr("class","points"),h.exit().remove();var p=h.selectAll("path").data((function(e){var t,r,a=e.pts2,l=Math.max((e.max-e.min)/10,e.q3-e.q1),c=1e-9*l,h=l*s,p=[],m=0;if(n.jitter){if(0===l)for(m=1,p=new Array(a.length),t=0;t<a.length;t++)p[t]=1;else for(t=0;t<a.length;t++){var g=Math.max(0,t-o),v=a[g].v,y=Math.min(a.length-1,t+o),b=a[y].v;"all"!==d&&(a[t].v<e.lf?b=Math.min(b,e.lf):v=Math.max(v,e.uf));var x=Math.sqrt(h*(y-g)/(b-v+c))||0;x=i.constrain(Math.abs(x),0,1),p.push(x),m=Math.max(x,m)}r=2*n.jitter/(m||1)}for(t=0;t<a.length;t++){var _=a[t],A=_.v,w=n.jitter?r*p[t]*(i.pseudoRandom()-.5):0,k=e.pos+f+u*(n.pointpos+w);"h"===n.orientation?(_.y=k,_.x=A):(_.x=k,_.y=A),"suspectedoutliers"===d&&A<e.uo&&A>e.lo&&(_.so=!0)}return a}));p.enter().append("path").classed("point",!0),p.exit().remove(),p.call(a.translatePoints,l,c)}function u(e,t,n,a){var o,s,l=t.val,c=t.pos,u=!!c.rangebreaks,f=a.bPos,d=a.bPosPxOffset||0,h=n.boxmean||(n.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var p=e.selectAll("path.mean").data("box"===n.type&&n.boxmean||"violin"===n.type&&n.box.visible&&n.meanline.visible?i.identity:[]);p.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),p.exit().remove(),p.each((function(e){var t=c.c2l(e.pos+f,!0),i=c.l2p(t-o)+d,a=c.l2p(t+s)+d,p=u?(i+a)/2:c.l2p(t)+d,m=l.c2p(e.mean,!0),g=l.c2p(e.mean-e.sd,!0),v=l.c2p(e.mean+e.sd,!0);"h"===n.orientation?r.select(this).attr("d","M"+m+","+i+"V"+a+("sd"===h?"m0,0L"+g+","+p+"L"+m+","+i+"L"+v+","+p+"Z":"")):r.select(this).attr("d","M"+i+","+m+"H"+a+("sd"===h?"m0,0L"+p+","+g+"L"+i+","+m+"L"+p+","+v+"Z":""))}))}e.exports={plot:function(e,t,n,a){var 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a=o;e.pointIndices=a}return e}},93788:(e,t,n)=>{"use strict";var r=n(64087).hoverPoints,i=n(70465).hoverLabelText;e.exports=function(e,t,n,a,o){var s=r(e,t,n,a,o);if(s){var l=(e=s[0]).cd[e.index],c=e.cd[0].trace;if(!c.cumulative.enabled){var u="h"===c.orientation?"y":"x";e[u+"Label"]=i(e[u+"a"],[l.ph0,l.ph1],c[u+"hoverformat"])}return s}}},85622:(e,t,n)=>{"use strict";e.exports={attributes:n(36141),layoutAttributes:n(7739),supplyDefaults:n(8986),crossTraceDefaults:n(84537),supplyLayoutDefaults:n(53724),calc:n(68353).calc,crossTraceCalc:n(10851).crossTraceCalc,plot:n(70770).plot,layerName:"barlayer",style:n(96080).style,styleOnSelect:n(96080).styleOnSelect,colorbar:n(79581),hoverPoints:n(93788),selectPoints:n(99177),eventData:n(70145),moduleType:"trace",name:"histogram",basePlotModule:n(41222),categories:["bar-like","cartesian","svg","bar","histogram","oriented","errorBarsOK","showLegend"],meta:{description:["The sample data from which statistics are computed is set in `x`","for vertically spanning histograms and","in `y` for horizontally spanning histograms.","Binning options are set `xbins` and `ybins` respectively","if no aggregation data is provided."].join(" ")}}},7920:e=>{"use strict";e.exports={percent:function(e,t){for(var n=e.length,r=100/t,i=0;i<n;i++)e[i]*=r},probability:function(e,t){for(var n=e.length,r=0;r<n;r++)e[r]/=t},density:function(e,t,n,r){var i=e.length;r=r||1;for(var a=0;a<i;a++)e[a]*=n[a]*r},"probability density":function(e,t,n,r){var i=e.length;r&&(t/=r);for(var a=0;a<i;a++)e[a]*=n[a]/t}}},27255:(e,t,n)=>{"use strict";var r=n(14932),i=n(70465),a=n(82965),o=n(7920),s=n(73405),l=n(14281),c=n(68353).calcAllAutoBins;function u(e,t,n,r){var i,a=new Array(e);if(r)for(i=0;i<e;i++)a[i]=1/(t[i+1]-t[i]);else{var o=1/n;for(i=0;i<e;i++)a[i]=o}return a}function f(e,t){return{start:e(t.start),end:e(t.end),size:t.size}}function d(e,t,n,r,i,a){var o,s=e.length-1,c=new Array(s),u=l(n,r,e,i,a);for(o=0;o<s;o++){var f=(t||[])[o];c[o]=void 0===f?[u(e[o]),u(e[o+1],!0)]:[f,f]}return c}e.exports=function(e,t){var n,l,h,p,m=i.getFromId(e,t.xaxis),g=i.getFromId(e,t.yaxis),v=t.xcalendar,y=t.ycalendar,b=function(e){return m.r2c(e,0,v)},x=function(e){return g.r2c(e,0,y)},_=c(e,t,m,"x"),A=_[0],w=_[1],k=c(e,t,g,"y"),E=k[0],T=k[1],M=t._length;w.length>M&&w.splice(M,w.length-M),T.length>M&&T.splice(M,T.length-M);var S=[],O=[],C=[],N="string"==typeof A.size,R="string"==typeof E.size,L=[],P=[],D=N?L:A,I=R?P:E,j=0,F=[],z=[],B=t.histnorm,U=t.histfunc,$=-1!==B.indexOf("density"),H="max"===U||"min"===U?null:0,q=a.count,V=o[B],W=!1,G=[],Y=[],X="z"in t?t.z:"marker"in t&&Array.isArray(t.marker.color)?t.marker.color:"";X&&"count"!==U&&(W="avg"===U,q=a[U]);var K=A.size,Z=b(A.start),J=b(A.end)+(Z-i.tickIncrement(Z,K,!1,v))/1e6;for(n=Z;n<J;n=i.tickIncrement(n,K,!1,v))O.push(H),L.push(n),W&&C.push(0);L.push(n);var Q,ee=O.length,te=(n-Z)/ee,ne=(Q=Z+te/2,m.c2r(Q,0,v)),re=E.size,ie=x(E.start),ae=x(E.end)+(ie-i.tickIncrement(ie,re,!1,y))/1e6;for(n=ie;n<ae;n=i.tickIncrement(n,re,!1,y)){S.push(O.slice()),P.push(n);var oe=new Array(ee);for(l=0;l<ee;l++)oe[l]=[];z.push(oe),W&&F.push(C.slice())}P.push(n);var se=S.length,le=(n-ie)/se,ce=function(e){return g.c2r(e,0,y)}(ie+le/2);$&&(G=u(O.length,D,te,N),Y=u(S.length,I,le,R)),N||"date"!==m.type||(D=f(b,D)),R||"date"!==g.type||(I=f(x,I));var ue=!0,fe=!0,de=new Array(ee),he=new Array(se),pe=1/0,me=1/0,ge=1/0,ve=1/0;for(n=0;n<M;n++){var ye=w[n],be=T[n];h=r.findBin(ye,D),p=r.findBin(be,I),h>=0&&h<ee&&p>=0&&p<se&&(j+=q(h,n,S[p],X,F[p]),z[p][h].push(n),ue&&(void 0===de[h]?de[h]=ye:de[h]!==ye&&(ue=!1)),fe&&(void 0===he[p]?he[p]=be:he[p]!==be&&(fe=!1)),pe=Math.min(pe,ye-L[h]),me=Math.min(me,L[h+1]-ye),ge=Math.min(ge,be-P[p]),ve=Math.min(ve,P[p+1]-be))}if(W)for(p=0;p<se;p++)j+=s(S[p],F[p]);if(V)for(p=0;p<se;p++)V(S[p],j,G,Y[p]);return{x:w,xRanges:d(L,ue&&de,pe,me,m,v),x0:ne,dx:te,y:T,yRanges:d(P,fe&&he,ge,ve,g,y),y0:ce,dy:le,z:S,pts:z}}},26493:(e,t,n)=>{"use strict";var r=n(37510),i=n(28039).u,a=n(45436),o=n(53416),s=n(80009).rb,l=n(80009).ay,c=n(62134).extendFlat,u=n(43151).k,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot",description:"Sets the font used for `textinfo`."});e.exports={labels:{valType:"data_array",editType:"calc",description:["Sets the sector labels.","If `labels` entries are duplicated, we sum associated `values`","or simply count occurrences if `values` is not provided.","For other array attributes (including color) we use the first","non-empty entry among all occurrences of the label."].join(" ")},label0:{valType:"number",dflt:0,editType:"calc",description:["Alternate to `labels`.","Builds a numeric set of labels.","Use with `dlabel`","where `label0` is the starting label and `dlabel` the step."].join(" ")},dlabel:{valType:"number",dflt:1,editType:"calc",description:"Sets the label step. See `label0` for more info."},values:{valType:"data_array",editType:"calc",description:["Sets the values of the sectors.","If omitted, we count occurrences of each label."].join(" ")},marker:{colors:{valType:"data_array",editType:"calc",description:["Sets the color of each sector.","If not specified, the default trace color set is used","to pick the sector colors."].join(" ")},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style",description:["Sets the color of the line enclosing each sector."].join(" ")},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style",description:["Sets the width (in px) of the line enclosing each sector."].join(" ")},editType:"calc"},pattern:u,editType:"calc"},text:{valType:"data_array",editType:"plot",description:["Sets text elements associated with each sector.","If trace `textinfo` contains a *text* flag, these elements will be seen","on the chart.","If trace `hoverinfo` contains a *text* flag and *hovertext* is not set,","these elements will be seen in the hover labels."].join(" ")},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style",description:["Sets hover text elements associated with each sector.","If a single string, the same string appears for","all data points.","If an array of string, the items are mapped in order of","this trace's sectors.","To be seen, trace `hoverinfo` must contain a *text* flag."].join(" ")},scalegroup:{valType:"string",dflt:"",editType:"calc",description:["If there are multiple pie charts that should be sized according to","their totals, link them by providing a non-empty group id here","shared by every trace in the same group."].join(" ")},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc",description:["Determines which trace information appear on the graph."].join(" ")},hoverinfo:c({},r.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot",description:["Specifies the location of the `textinfo`."].join(" ")},textfont:c({},f,{description:"Sets the font used for `textinfo`."}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot",description:["Controls the orientation of the text inside chart sectors.","When set to *auto*, text may be oriented in any direction in order","to be as big as possible in the middle of a sector.","The *horizontal* option orients text to be parallel with the bottom","of the chart, and may make text smaller in order to achieve that goal.","The *radial* option orients text along the radius of the sector.","The *tangential* option orients text perpendicular to the radius of the sector."].join(" ")},insidetextfont:c({},f,{description:"Sets the font used for `textinfo` lying inside the sector."}),outsidetextfont:c({},f,{description:"Sets the font used for `textinfo` lying outside the sector."}),automargin:{valType:"boolean",dflt:!1,editType:"plot",description:["Determines whether outside text labels can push the margins."].join(" ")},title:{text:{valType:"string",dflt:"",editType:"plot",description:["Sets the title of the chart.","If it is empty, no title is displayed.","Note that before the existence of `title.text`, the title's","contents used to be defined as the `title` attribute itself.","This behavior has been deprecated."].join(" ")},font:c({},f,{description:["Sets the font used for `title`.","Note that the title's font used to be set","by the now deprecated `titlefont` attribute."].join(" ")}),position:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot",description:["Specifies the location of the `title`.","Note that the title's position used to be set","by the now deprecated `titleposition` attribute."].join(" ")},editType:"plot"},domain:i({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc",description:["Sets the fraction of the radius to cut out of the pie.","Use this to make a donut chart."].join(" ")},sort:{valType:"boolean",dflt:!0,editType:"calc",description:["Determines whether or not the sectors are reordered","from largest to smallest."].join(" ")},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc",description:["Specifies the direction at which succeeding sectors follow","one another."].join(" ")},rotation:{valType:"angle",dflt:0,editType:"calc",description:["Instead of the first slice starting at 12 o'clock,","rotate to some other angle."].join(" ")},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc",description:["Sets the fraction of larger radius to pull the sectors","out from the center. This can be a constant","to pull all slices apart from each other equally","or an array to highlight one or more slices."].join(" ")},_deprecated:{title:{valType:"string",dflt:"",editType:"calc",description:["Deprecated in favor of `title.text`.","Note that value of `title` is no longer a simple","*string* but a set of sub-attributes."].join(" ")},titlefont:c({},f,{description:"Deprecated in favor of `title.font`."}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc",description:"Deprecated in favor of `title.position`."}}}},45905:(e,t,n)=>{"use strict";var r=n(2964),i=n(21176),a=n(39906),o={};function s(e){return function(t,n){return!!t&&(!!(t=i(t)).isValid()&&(t=a.addOpacity(t,t.getAlpha()),e[n]||(e[n]=t),t))}}function l(e,t){var n,r=JSON.stringify(e),a=t[r];if(!a){for(a=e.slice(),n=0;n<e.length;n++)a.push(i(e[n]).lighten(20).toHexString());for(n=0;n<e.length;n++)a.push(i(e[n]).darken(20).toHexString());t[r]=a}return a}e.exports={calc:function(e,t){var n,i,a=[],o=e._fullLayout,l=o.hiddenlabels||[],c=t.labels,u=t.marker.colors||[],f=t.values,d=t._length,h=t._hasValues&&d;if(t.dlabel)for(c=new Array(d),n=0;n<d;n++)c[n]=String(t.label0+n*t.dlabel);var p={},m=s(o["_"+t.type+"colormap"]),g=0,v=!1;for(n=0;n<d;n++){var y,b,x;if(h){if(y=f[n],!r(y))continue;y=+y}else y=1;void 0!==(b=c[n])&&""!==b||(b=n);var _=p[b=String(b)];void 0===_?(p[b]=a.length,(x=-1!==l.indexOf(b))||(g+=y),a.push({v:y,label:b,color:m(u[n],b),i:n,pts:[n],hidden:x})):(v=!0,(i=a[_]).v+=y,i.pts.push(n),i.hidden||(g+=y),!1===i.color&&u[n]&&(i.color=m(u[n],b)))}return a=a.filter((function(e){return e.v>=0})),("funnelarea"===t.type?v:t.sort)&&a.sort((function(e,t){return t.v-e.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(e,t){var n=(t||{}).type;n||(n="pie");var r=e._fullLayout,i=e.calcdata,a=r[n+"colorway"],s=r["_"+n+"colormap"];r["extend"+n+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===n)for(var d=0;d<f.length;d++){var h=f[d];!1===h.color&&(s[h.label]?h.color=s[h.label]:(s[h.label]=h.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},59434:(e,t,n)=>{"use strict";var r=n(2964),i=n(14932),a=n(26493),o=n(28039).N,s=n(47175).handleText,l=n(14932).coercePattern;function c(e,t){var n=i.isArrayOrTypedArray(e),a=i.isArrayOrTypedArray(t),o=Math.min(n?e.length:1/0,a?t.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=t[l];if(r(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:n,hasValues:a,len:o}}function u(e,t,n,r,i){r("marker.line.width")&&r("marker.line.color",i?void 0:n.paper_bgcolor);var a=r("marker.colors");l(r,"marker.pattern",a),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=n.paper_bgcolor)}e.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(e,t,n,r){function l(n,r){return i.coerce(e,t,a,n,r)}var f=c(l("labels"),l("values")),d=f.len;if(t._hasLabels=f.hasLabels,t._hasValues=f.hasValues,!t._hasLabels&&t._hasValues&&(l("label0"),l("dlabel")),d){t._length=d,u(e,t,r,l,!0),l("scalegroup");var h,p=l("text"),m=l("texttemplate");if(m||(h=l("textinfo",i.isArrayOrTypedArray(p)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),m||h&&"none"!==h){var g=l("textposition");s(e,t,r,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}else"none"===h&&l("textposition","none");o(t,r,l);var v=l("hole");if(l("title.text")){var y=l("title.position",v?"middle center":"top center");v||"middle center"!==y||(t.title.position="top center"),i.coerceFont(l,"title.font",r.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else t.visible=!1}}},85617:(e,t,n)=>{"use strict";var r=n(22081).appendArrayMultiPointValues;e.exports=function(e,t){var n={curveNumber:t.index,pointNumbers:e.pts,data:t._input,fullData:t,label:e.label,color:e.color,value:e.v,percent:e.percent,text:e.text,bbox:e.bbox,v:e.v};return 1===e.pts.length&&(n.pointNumber=n.i=e.pts[0]),r(n,t,e.pts),"funnelarea"===t.type&&(delete n.v,delete n.i),n}},26826:(e,t,n)=>{"use strict";var r=n(12228),i=n(39906);e.exports=function(e,t,n,a){var o=n.marker.pattern;o&&o.shape?r.pointStyle(e,n,a,t):i.fill(e,t.color)}},18999:(e,t,n)=>{"use strict";var r=n(14932);function i(e){return-1!==e.indexOf("e")?e.replace(/[.]?0+e/,"e"):-1!==e.indexOf(".")?e.replace(/[.]?0+$/,""):e}t.formatPiePercent=function(e,t){var n=i((100*e).toPrecision(3));return r.numSeparate(n,t)+"%"},t.formatPieValue=function(e,t){var n=i(e.toPrecision(10));return r.numSeparate(n,t)},t.getFirstFilled=function(e,t){if(r.isArrayOrTypedArray(e))for(var n=0;n<t.length;n++){var i=e[t[n]];if(i||0===i||""===i)return i}},t.castOption=function(e,n){return r.isArrayOrTypedArray(e)?t.getFirstFilled(e,n):e||void 0},t.getRotationAngle=function(e){return("auto"===e?0:e)*Math.PI/180}},84615:(e,t,n)=>{"use strict";var r=n(90607),i=n(50207),a=n(37940),o=n(39906),s=n(12228),l=n(14932),c=l.strScale,u=l.strTranslate,f=n(13256),d=n(86375),h=d.recordMinTextSize,p=d.clearMinTextSize,m=n(55748).TEXTPAD,g=n(18999),v=n(85617),y=n(14932).isValidTextValue;function b(e,t,n){var i=n[0],o=i.cx,s=i.cy,c=i.trace,u="funnelarea"===c.type;"_hasHoverLabel"in c||(c._hasHoverLabel=!1),"_hasHoverEvent"in c||(c._hasHoverEvent=!1),e.on("mouseover",(function(e){var n=t._fullLayout,f=t._fullData[c.index];if(!t._dragging&&!1!==n.hovermode){var d=f.hoverinfo;if(Array.isArray(d)&&(d=a.castHoverinfo({hoverinfo:[g.castOption(d,e.pts)],_module:c._module},n,0)),"all"===d&&(d="label+text+value+percent+name"),f.hovertemplate||"none"!==d&&"skip"!==d&&d){var h=e.rInscribed||0,p=o+e.pxmid[0]*(1-h),m=s+e.pxmid[1]*(1-h),y=n.separators,b=[];if(d&&-1!==d.indexOf("label")&&b.push(e.label),e.text=g.castOption(f.hovertext||f.text,e.pts),d&&-1!==d.indexOf("text")){var x=e.text;l.isValidTextValue(x)&&b.push(x)}e.value=e.v,e.valueLabel=g.formatPieValue(e.v,y),d&&-1!==d.indexOf("value")&&b.push(e.valueLabel),e.percent=e.v/i.vTotal,e.percentLabel=g.formatPiePercent(e.percent,y),d&&-1!==d.indexOf("percent")&&b.push(e.percentLabel);var _=f.hoverlabel,A=_.font,w=[];a.loneHover({trace:c,x0:p-h*i.r,x1:p+h*i.r,y:m,_x0:u?o+e.TL[0]:p-h*i.r,_x1:u?o+e.TR[0]:p+h*i.r,_y0:u?s+e.TL[1]:m-h*i.r,_y1:u?s+e.BL[1]:m+h*i.r,text:b.join("<br>"),name:f.hovertemplate||-1!==d.indexOf("name")?f.name:void 0,idealAlign:e.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,e.pts)||e.color,borderColor:g.castOption(_.bordercolor,e.pts),fontFamily:g.castOption(A.family,e.pts),fontSize:g.castOption(A.size,e.pts),fontColor:g.castOption(A.color,e.pts),nameLength:g.castOption(_.namelength,e.pts),textAlign:g.castOption(_.align,e.pts),hovertemplate:g.castOption(f.hovertemplate,e.pts),hovertemplateLabels:e,eventData:[v(e,f)]},{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:t,inOut_bbox:w}),e.bbox=w[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,t.emit("plotly_hover",{points:[v(e,f)],event:r.event})}})),e.on("mouseout",(function(e){var n=t._fullLayout,i=t._fullData[c.index],o=r.select(this).datum();c._hasHoverEvent&&(e.originalEvent=r.event,t.emit("plotly_unhover",{points:[v(o,i)],event:r.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(n._hoverlayer.node()),c._hasHoverLabel=!1)})),e.on("click",(function(e){var n=t._fullLayout,i=t._fullData[c.index];t._dragging||!1===n.hovermode||(t._hoverdata=[v(e,i)],a.click(t,r.event))}))}function x(e,t,n){var r=g.castOption(e.insidetextfont.color,t.pts);!r&&e._input.textfont&&(r=g.castOption(e._input.textfont.color,t.pts));var i=g.castOption(e.insidetextfont.family,t.pts)||g.castOption(e.textfont.family,t.pts)||n.family,a=g.castOption(e.insidetextfont.size,t.pts)||g.castOption(e.textfont.size,t.pts)||n.size;return{color:r||o.contrast(t.color),family:i,size:a}}function _(e,t){for(var n,r,i=0;i<e.length;i++)if((r=(n=e[i][0]).trace).title.text){var a=r.title.text;r._meta&&(a=l.templateString(a,r._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,r.title.font).call(f.convertToTspans,t),c=s.bBox(o.node(),!0);n.titleBox={width:c.width,height:c.height},o.remove()}}function A(e,t,n){var r=n.r||t.rpx1,i=t.rInscribed;if(t.startangle===t.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=t.ring,s=1===o&&Math.abs(t.startangle-t.stopangle)===2*Math.PI,l=t.halfangle,c=t.midangle,u=n.trace.insidetextorientation,f="horizontal"===u,d="tangential"===u,h="radial"===u,p="auto"===u,m=[];if(!p){var g,v=function(n,i){if(function(e,t){var n=e.startangle,r=e.stopangle;return n>t&&t>r||n<t&&t<r}(t,n)){var s=Math.abs(n-t.startangle),l=Math.abs(n-t.stopangle),c=s<l?s:l;(a="tan"===i?k(e,r,o,c,0):w(e,r,o,c,Math.PI/2)).textPosAngle=n,m.push(a)}};if(f||d){for(g=4;g>=-4;g-=2)v(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),"tan")}if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),"rad")}}if(s||p||f){var y=Math.sqrt(e.width*e.width+e.height*e.height);if((a={scale:i*r*2/y,rCenter:1-i,rotate:0}).textPosAngle=(t.startangle+t.stopangle)/2,a.scale>=1)return a;m.push(a)}(p||h)&&((a=w(e,r,o,l,c)).textPosAngle=(t.startangle+t.stopangle)/2,m.push(a)),(p||d)&&((a=k(e,r,o,l,c)).textPosAngle=(t.startangle+t.stopangle)/2,m.push(a));for(var b=0,x=0,_=0;_<m.length;_++){var A=m[_].scale;if(x<A&&(x=A,b=_),!p&&x>=1)break}return m[b]}function w(e,t,n,r,i){t=Math.max(0,t-2*m);var a=e.width/e.height,o=M(a,r,t,n);return{scale:2*o/e.height,rCenter:E(a,o/t),rotate:T(i)}}function k(e,t,n,r,i){t=Math.max(0,t-2*m);var a=e.height/e.width,o=M(a,r,t,n);return{scale:2*o/e.width,rCenter:E(a,o/t),rotate:T(i+Math.PI/2)}}function E(e,t){return Math.cos(t)-e*t}function T(e){return(180/Math.PI*e+720)%180-90}function M(e,t,n,r){var i=e+1/(2*Math.tan(t));return n*Math.min(1/(Math.sqrt(i*i+.5)+i),r/(Math.sqrt(e*e+r/2)+e))}function S(e,t){return e.v!==t.vTotal||t.trace.hole?Math.min(1/(1+1/Math.sin(e.halfangle)),e.ring/2):1}function O(e,t){var n=t.pxmid[0],r=t.pxmid[1],i=e.width/2,a=e.height/2;return n<0&&(i*=-1),r<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+n*n/(r*r)),outside:!0}}function C(e,t){var n,r,i,a=e.trace,o={x:e.cx,y:e.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=R(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*e.r,s.ty-=e.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*e.r);var l,c,u=(l=e.r,c=e.trace.aspectratio,l/(void 0===c?1:c)),f=t.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=e.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=e.titleBox.width/2),n=f/e.titleBox.width,r=N(e,t)/e.titleBox.height,{x:o.x,y:o.y,scale:Math.min(n,r),tx:s.tx,ty:s.ty}}function N(e,t){var n=e.trace,r=t.h*(n.domain.y[1]-n.domain.y[0]);return Math.min(e.titleBox.height,r/2)}function R(e){var t,n=e.pull;if(!n)return 0;if(l.isArrayOrTypedArray(n))for(n=0,t=0;t<e.pull.length;t++)e.pull[t]>n&&(n=e.pull[t]);return n}function L(e,t){for(var n=[],r=0;r<e.length;r++){var i=e[r][0],a=i.trace,o=a.domain,s=t.w*(o.x[1]-o.x[0]),l=t.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=N(i,t));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+R(a)),i.cx=t.l+t.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=t.t+t.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=N(i,t)),a.scalegroup&&-1===n.indexOf(a.scalegroup)&&n.push(a.scalegroup)}!function(e,t){for(var n,r,i,a=0;a<t.length;a++){var o=1/0,s=t[a];for(r=0;r<e.length;r++)if((i=(n=e[r][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=n.r*n.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?u=(c=n.r)/i.aspectratio:c=(u=n.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/n.vTotal)}for(r=0;r<e.length;r++)if((i=(n=e[r][0]).trace).scalegroup===s){var f=o*n.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),n.r=Math.sqrt(f)}}}(e,n)}function P(e,t){return[e*Math.sin(t),-e*Math.cos(t)]}function D(e,t,n){var r=e._fullLayout,i=n.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(e){return-1!==c.indexOf(e)},f=u("label"),d=u("text"),h=u("value"),p=u("percent"),m=r.separators;if(s=f?[t.label]:[],d){var v=g.getFirstFilled(i.text,t.pts);y(v)&&s.push(v)}h&&s.push(g.formatPieValue(t.v,m)),p&&s.push(g.formatPiePercent(t.v/n.vTotal,m)),t.text=s.join("<br>")}if(a){var b=l.castOption(i,t.i,"texttemplate");if(b){var x=function(e){return{label:e.label,value:e.v,valueLabel:g.formatPieValue(e.v,r.separators),percent:e.v/n.vTotal,percentLabel:g.formatPiePercent(e.v/n.vTotal,r.separators),color:e.color,text:e.text,customdata:l.castOption(i,e.i,"customdata")}}(t),_=g.getFirstFilled(i.text,t.pts);(y(_)||""===_)&&(x.text=_),t.text=l.texttemplateString(b,x,e._fullLayout._d3locale,x,i._meta||{})}else t.text=""}}function I(e,t){var n=e.rotate*Math.PI/180,r=Math.cos(n),i=Math.sin(n),a=(t.left+t.right)/2,o=(t.top+t.bottom)/2;e.textX=a*r-o*i,e.textY=a*i+o*r,e.noCenter=!0}e.exports={plot:function(e,t){var n=e._context.staticPlot,a=e._fullLayout,d=a._size;p("pie",a),_(t,e),L(t,d);var m=l.makeTraceGroups(a._pielayer,t,"trace").each((function(t){var p=r.select(this),m=t[0],v=m.trace;!function(e){var t,n,r,i=e[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(t=0;t<e.length&&e[t].hidden;t++);if(t===e.length)return;s+=l*e[t].v,l*=-1,c="px1",u="px0"}for(r=P(a,s),t=0;t<e.length;t++)(n=e[t]).hidden||(n[c]=r,n.startangle=s,s+=l*n.v/2,n.pxmid=P(a,s),n.midangle=s,r=P(a,s+=l*n.v/2),n.stopangle=s,n[u]=r,n.largeArc=n.v>i.vTotal/2?1:0,n.halfangle=Math.PI*Math.min(n.v/i.vTotal,.5),n.ring=1-o.hole,n.rInscribed=S(n,i))}(t),p.attr("stroke-linejoin","round"),p.each((function(){var y=r.select(this).selectAll("g.slice").data(t);y.enter().append("g").classed("slice",!0),y.exit().remove();var _=[[[],[]],[[],[]]],w=!1;y.each((function(i,o){if(i.hidden)r.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,d=r.select(this),p=d.selectAll("path.surface").data([i]);if(p.enter().append("path").classed("surface",!0).style({"pointer-events":n?"none":"all"}),d.call(b,e,t),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var E="M"+(c+i.px0[0])+","+(u+i.px0[1])+N(i.px0,i.pxmid,!0,1)+N(i.pxmid,i.px0,!0,1)+"Z";k?p.attr("d","M"+(c+k*i.px0[0])+","+(u+k*i.px0[1])+N(i.px0,i.pxmid,!1,k)+N(i.pxmid,i.px0,!1,k)+"Z"+E):p.attr("d",E)}else{var T=N(i.px0,i.px1,!0,1);if(k){var M=1-k;p.attr("d","M"+(c+k*i.px1[0])+","+(u+k*i.px1[1])+N(i.px1,i.px0,!1,k)+"l"+M*i.px0[0]+","+M*i.px0[1]+T+"Z")}else p.attr("d","M"+c+","+u+"l"+i.px0[0]+","+i.px0[1]+T+"Z")}D(e,i,m);var S=g.castOption(v.textposition,i.pts),C=d.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var n=l.ensureSingle(r.select(this),"text","",(function(e){e.attr("data-notex",1)})),d=l.ensureUniformFontSize(e,"outside"===S?function(e,t,n){var r=g.castOption(e.outsidetextfont.color,t.pts)||g.castOption(e.textfont.color,t.pts)||n.color,i=g.castOption(e.outsidetextfont.family,t.pts)||g.castOption(e.textfont.family,t.pts)||n.family,a=g.castOption(e.outsidetextfont.size,t.pts)||g.castOption(e.textfont.size,t.pts)||n.size;return{color:r,family:i,size:a}}(v,i,a.font):x(v,i,a.font));n.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,d).call(f.convertToTspans,e);var p,y=s.bBox(n.node());if("outside"===S)p=O(y,i);else if(p=A(y,i,m),"auto"===S&&p.scale<1){var b=l.ensureUniformFontSize(e,v.outsidetextfont);n.call(s.font,b),p=O(y=s.bBox(n.node()),i)}var _=p.textPosAngle,k=void 0===_?i.pxmid:P(m.r,_);if(p.targetX=c+k[0]*p.rCenter+(p.x||0),p.targetY=u+k[1]*p.rCenter+(p.y||0),I(p,y),p.outside){var E=p.targetY;i.yLabelMin=E-y.height/2,i.yLabelMid=E,i.yLabelMax=E+y.height/2,i.labelExtraX=0,i.labelExtraY=0,w=!0}p.fontSize=d.size,h(v.type,p,a),t[o].transform=p,l.setTransormAndDisplay(n,p)}))}function N(e,t,n,r){var a=r*(t[0]-e[0]),o=r*(t[1]-e[1]);return"a"+r*m.r+","+r*m.r+" 0 "+i.largeArc+(n?" 1 ":" 0 ")+a+","+o}}));var k=r.select(this).selectAll("g.titletext").data(v.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var t,n=l.ensureSingle(r.select(this),"text","",(function(e){e.attr("data-notex",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),n.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,v.title.font).call(f.convertToTspans,e),t="middle 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i,u,f,h,p=n.labelExtraY+(r?n.yLabelMax:n.yLabelMin),m=r?e.yLabelMin:e.yLabelMax,v=r?e.yLabelMax:e.yLabelMin,y=e.cyFinal+o(e.px0[1],e.px1[1]),b=p-m;if(b*c>0&&(e.labelExtraY=b),l.isArrayOrTypedArray(t.pull))for(u=0;u<d.length;u++)(f=d[u])===e||(g.castOption(t.pull,e.pts)||0)>=(g.castOption(t.pull,f.pts)||0)||((e.pxmid[1]-f.pxmid[1])*c>0?(b=f.cyFinal+o(f.px0[1],f.px1[1])-m-e.labelExtraY)*c>0&&(e.labelExtraY+=b):(v+e.labelExtraY-y)*c>0&&(i=3*s*Math.abs(u-d.indexOf(e)),(h=f.cxFinal+a(f.px0[0],f.px1[0])+i-(e.cxFinal+e.pxmid[0])-e.labelExtraX)*s>0&&(e.labelExtraX+=h)))}for(r=0;r<2;r++)for(i=r?v:y,o=r?Math.max:Math.min,c=r?1:-1,n=0;n<2;n++){for(a=n?Math.max:Math.min,s=n?1:-1,(u=e[r][n]).sort(i),f=e[1-r][n],d=f.concat(u),p=[],h=0;h<u.length;h++)void 0!==u[h].yLabelMid&&p.push(u[h]);for(m=!1,h=0;r&&h<f.length;h++)if(void 0!==f[h].yLabelMid){m=f[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];m&&!h&&(x=m),b(p[h],x)}}}(_,v),function(e,t){e.each((function(e){var n=r.select(this);if(e.labelExtraX||e.labelExtraY){var i=n.select("g.slicetext text");e.transform.targetX+=e.labelExtraX,e.transform.targetY+=e.labelExtraY,l.setTransormAndDisplay(i,e.transform);var a=e.cxFinal+e.pxmid[0],s="M"+a+","+(e.cyFinal+e.pxmid[1]),c=(e.yLabelMax-e.yLabelMin)*(e.pxmid[0]<0?-1:1)/4;if(e.labelExtraX){var u=e.labelExtraX*e.pxmid[1]/e.pxmid[0],f=e.yLabelMid+e.labelExtraY-(e.cyFinal+e.pxmid[1]);Math.abs(u)>Math.abs(f)?s+="l"+f*e.pxmid[0]/e.pxmid[1]+","+f+"H"+(a+e.labelExtraX+c):s+="l"+e.labelExtraX+","+u+"v"+(f-u)+"h"+c}else s+="V"+(e.yLabelMid+e.labelExtraY)+"h"+c;l.ensureSingle(n,"path","textline").call(o.stroke,t.outsidetextfont.color).attr({"stroke-width":Math.min(2,t.outsidetextfont.size/8),d:s,fill:"none"})}else n.select("path.textline").remove()}))}(y,v),w&&v.automargin){var E=s.bBox(p.node()),T=v.domain,M=d.w*(T.x[1]-T.x[0]),S=d.h*(T.y[1]-T.y[0]),N=(.5*M-m.r)/d.w,R=(.5*S-m.r)/d.h;i.autoMargin(e,"pie."+v.uid+".automargin",{xl:T.x[0]-N,xr:T.x[1]+N,yb:T.y[0]-R,yt:T.y[1]+R,l:Math.max(m.cx-m.r-E.left,0),r:Math.max(E.right-(m.cx+m.r),0),b:Math.max(E.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-E.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll("tspan").each((function(){var e=r.select(this);e.attr("dy")&&e.attr("dy",e.attr("dy"))}))}),0)},formatSliceLabel:D,transformInsideText:A,determineInsideTextFont:x,positionTitleOutside:C,prerenderTitles:_,layoutAreas:L,attachFxHandlers:b,computeTransform:I}},7428:(e,t,n)=>{"use strict";var r=n(39906),i=n(18999).castOption,a=n(26826);e.exports=function(e,t,n,o){var s=n.marker.line,l=i(s.color,t.pts)||r.defaultLine,c=i(s.width,t.pts)||0;e.call(a,t,n,o).style("stroke-width",c).call(r.stroke,l)}},31887:(e,t,n)=>{"use strict";var r=n(45436),i=n(37510),a=n(53416),o=n(97823),s=n(28039).u,l=n(80009).rb,c=n(80716),u=n(60131).templatedArray,f=n(36899).descriptionOnlyNumbers,d=n(62134).extendFlat,h=n(65963).overrideAll;(e.exports=h({hoverinfo:d({},i.hoverinfo,{flags:[],arrayOk:!1,description:["Determines which trace information appear on hover.","If `none` or `skip` are set, no information is displayed upon hovering.","But, if `none` is set, click and hover events are still fired.","Note that this attribute is superseded by `node.hoverinfo` and `node.hoverinfo`","for nodes and links respectively."].join(" ")}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h",description:"Sets the orientation of the Sankey diagram."},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:"",description:["Adds a unit to follow the value in the hover tooltip. 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t.trace=e.trace,t.curveNumber=e.trace.index,{circular:e.circular,key:a,traceId:e.key,pointNumber:t.pointNumber,link:t,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:T,linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,linkArrowLength:e.linkArrowLength,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,parent:e,interactionState:e.interactionState,flow:t.flow}}function T(){return function(e){var t=e.linkArrowLength;if(e.link.circular)return function(e,t){var n=e.width/2,r=e.circularPathData;return"top"===e.circularLinkType?"M "+(r.targetX-t)+" "+(r.targetY+n)+" L"+(r.rightInnerExtent-t)+" "+(r.targetY+n)+"A"+(r.rightLargeArcRadius+n)+" "+(r.rightSmallArcRadius+n)+" 0 0 1 "+(r.rightFullExtent-n-t)+" "+(r.targetY-r.rightSmallArcRadius)+"L"+(r.rightFullExtent-n-t)+" "+r.verticalRightInnerExtent+"A"+(r.rightLargeArcRadius+n)+" "+(r.rightLargeArcRadius+n)+" 0 0 1 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t.group&&(s=d.randstr()),t.trace=e.trace,t.curveNumber=e.trace.index,{index:t.pointNumber,key:s,partOfGroup:t.partOfGroup||!1,group:t.group,traceId:e.key,trace:e.trace,node:t,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-r,zoneY:-i,zoneWidth:a+2*r,zoneHeight:o+2*i,labelY:e.horizontal?t.dy/2+1:t.dx/2+1,left:1===t.originalLayer,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:n.getBrightness()<=128,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,graph:e.graph,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,s].join("_"),interactionState:e.interactionState,figure:e}}function S(e){e.attr("transform",(function(e){return h(e.node.x0.toFixed(3),e.node.y0.toFixed(3))}))}function O(e){e.call(S)}function 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o=a.behavior.drag().origin((function(e){return{x:e.node.x0+e.visibleWidth/2,y:e.node.y0+e.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(d.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(e){i._fullLayout._dragCover=e})),d.raiseToTop(this),a.interactionState.dragInProgress=a.node,j(a.node),a.interactionState.hovered&&(n.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(e,t,n,i){!function(e){for(var t=0;t<e.length;t++)e[t].y=(e[t].y0+e[t].y1)/2,e[t].x=(e[t].x0+e[t].x1)/2}(n.graph.nodes);var a=n.graph.nodes.filter((function(e){return e.originalX===n.node.originalX})).filter((function(e){return!e.partOfGroup}));n.forceLayouts[t]=r.forceSimulation(a).alphaDecay(0).force("collide",r.forceCollide().radius((function(e){return e.dy/2+n.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(e,t,n,r){return function(){for(var e=0,i=0;i<n.length;i++){var a=n[i];a===r.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(r.size-a.dy/2,Math.max(a.dy/2,a.y))),e=Math.max(e,Math.abs(a.vx),Math.abs(a.vy))}!r.interactionState.dragInProgress&&e<.1&&r.forceLayouts[t].alpha()>0&&r.forceLayouts[t].alpha(0)}}(0,t,a,n)).stop()}(0,o,a),function(e,t,n,r,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)n.forceLayouts[r].tick();if(function(e){for(var t=0;t<e.length;t++)e[t].y0=e[t].y-e[t].dy/2,e[t].y1=e[t].y0+e[t].dy,e[t].x0=e[t].x-e[t].dx/2,e[t].x1=e[t].x0+e[t].dx}(n.graph.nodes),n.sankey.update(n.graph),C(e.filter(F(n)),t),n.forceLayouts[r].alpha()>0)window.requestAnimationFrame(a);else{var 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I=_.selectAll("."+l.cn.sankeyNodeSet).data(v,g);I.enter().append("g").classed(l.cn.sankeyNodeSet,!0),I.style("cursor",(function(e){switch(e.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}}));var j=I.selectAll("."+l.cn.sankeyNode).data((function(e){var t=e.graph.nodes;return function(e){var t,n=[];for(t=0;t<e.length;t++)e[t].originalX=(e[t].x0+e[t].x1)/2,e[t].originalY=(e[t].y0+e[t].y1)/2,-1===n.indexOf(e[t].originalX)&&n.push(e[t].originalX);for(n.sort((function(e,t){return e-t})),t=0;t<e.length;t++)e[t].originalLayerIndex=n.indexOf(e[t].originalX),e[t].originalLayer=e[t].originalLayerIndex/(n.length-1)}(t),t.map(M.bind(null,e))}),g);j.enter().append("g").classed(l.cn.sankeyNode,!0).call(S).style("opacity",(function(t){return!e._context.staticPlot&&!s||t.partOfGroup?0:1})),j.call(P,_,i.nodeEvents).call(D,C,i,e),j.transition().ease(l.ease).duration(l.duration).call(S).style("opacity",(function(e){return e.partOfGroup?0:1})),j.exit().transition().ease(l.ease).duration(l.duration).style("opacity",0).remove();var F=j.selectAll("."+l.cn.nodeRect).data(v);F.enter().append("rect").classed(l.cn.nodeRect,!0).call(N),F.style("stroke-width",(function(e){return e.nodeLineWidth})).style("stroke",(function(e){return u.tinyRGB(c(e.nodeLineColor))})).style("stroke-opacity",(function(e){return u.opacity(e.nodeLineColor)})).style("fill",(function(e){return e.tinyColorHue})).style("fill-opacity",(function(e){return e.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(N);var z=j.selectAll("."+l.cn.nodeLabel).data(v);z.enter().append("text").classed(l.cn.nodeLabel,!0).style("cursor","default"),z.attr("data-notex",1).text((function(e){return e.node.label})).each((function(t){var n=a.select(this);f.font(n,t.textFont),b.convertToTspans(n,e)})).style("text-shadow",b.makeTextShadow(e._fullLayout.paper_bgcolor)).attr("text-anchor",(function(e){return e.horizontal&&e.left?"end":"start"})).attr("transform",(function(e){var t=a.select(this),n=b.lineCount(t),r=e.textFont.size*((n-1)*w-A),i=e.nodeLineWidth/2+3,o=((e.horizontal?e.visibleHeight:e.visibleWidth)-r)/2;e.horizontal&&(e.left?i=-i:i+=e.visibleWidth);var s=e.horizontal?"":"scale(-1,1)"+p(90);return h(e.horizontal?i:o,e.horizontal?o:i)+s})),z.transition().ease(l.ease).duration(l.duration)}},50173:e=>{"use strict";e.exports=function(e,t){for(var n=[],r=e.cd[0].trace,i=r._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];"v"===r.orientation&&s.reverse(),t&&t.contains(s,!1,a,e)&&n.push({pointNumber:o.pointNumber})}}return n}},20678:(e,t,n)=>{"use strict";var r=n(14932);e.exports=function(e,t){for(var n=0;n<e.length;n++)e[n].i=n;r.mergeArray(t.text,e,"tx"),r.mergeArray(t.texttemplate,e,"txt"),r.mergeArray(t.hovertext,e,"htx"),r.mergeArray(t.customdata,e,"data"),r.mergeArray(t.textposition,e,"tp"),t.textfont&&(r.mergeArrayCastPositive(t.textfont.size,e,"ts"),r.mergeArray(t.textfont.color,e,"tc"),r.mergeArray(t.textfont.family,e,"tf"));var i=t.marker;if(i){r.mergeArrayCastPositive(i.size,e,"ms"),r.mergeArrayCastPositive(i.opacity,e,"mo"),r.mergeArray(i.symbol,e,"mx"),r.mergeArray(i.angle,e,"ma"),r.mergeArray(i.standoff,e,"mf"),r.mergeArray(i.color,e,"mc");var a=i.line;i.line&&(r.mergeArray(a.color,e,"mlc"),r.mergeArrayCastPositive(a.width,e,"mlw"));var o=i.gradient;o&&"none"!==o.type&&(r.mergeArray(o.type,e,"mgt"),r.mergeArray(o.color,e,"mgc"))}}},24929:(e,t,n)=>{"use strict";var r=n(36899).axisHoverFormat,i=n(80009).ay,a=n(80009).rb,o=n(80716),s=n(45436),l=n(43151).T,c=n(43151).k,u=n(12228),f=n(53795),d=n(62134).extendFlat,h=n(9797);function p(e){return{valType:"any",dflt:0,editType:"calc",description:["Only relevant when the axis `type` is *date*.","Sets the period positioning in milliseconds or *M<n>* on the "+e+" axis.","Special values in the form of *M<n>* could be used to declare","the number of months. In this case `n` must be a positive integer."].join(" ")}}function m(e){return{valType:"any",editType:"calc",description:["Only relevant when the axis `type` is *date*.","Sets the base for period positioning in milliseconds or date string on the "+e+" axis.","When `"+e+"period` is round number of weeks,","the `"+e+"period0` by default would be on a Sunday i.e. 2000-01-02,","otherwise it would be at 2000-01-01."].join(" ")}}function g(e){return{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc",description:["Only relevant when the axis `type` is *date*.","Sets the alignment of data points on the "+e+" axis."].join(" ")}}e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0,description:"Sets the x coordinates."},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0,description:["Alternate to `x`.","Builds a linear space of x coordinates.","Use with `dx`","where `x0` is the starting coordinate and `dx` the step."].join(" ")},dx:{valType:"number",dflt:1,editType:"calc",anim:!0,description:["Sets the x coordinate step.","See `x0` for more info."].join(" ")},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0,description:"Sets the y coordinates."},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0,description:["Alternate to `y`.","Builds a linear space of y coordinates.","Use with `dy`","where `y0` is the starting coordinate and `dy` the step."].join(" ")},dy:{valType:"number",dflt:1,editType:"calc",anim:!0,description:["Sets the y coordinate step.","See `y0` for more info."].join(" ")},xperiod:p("x"),yperiod:p("y"),xperiod0:m("x0"),yperiod0:m("y0"),xperiodalignment:g("x"),yperiodalignment:g("y"),xhoverformat:r("x"),yhoverformat:r("y"),offsetgroup:{valType:"string",dflt:"",editType:"calc",description:["Set several traces linked to the same position axis","or matching axes to the same","offsetgroup where bars of the same position coordinate will line up."].join(" ")},alignmentgroup:{valType:"string",dflt:"",editType:"calc",description:["Set several traces linked to the same position axis","or matching axes to the same","alignmentgroup. This controls whether bars compute their positional","range dependently or independently."].join(" ")},stackgroup:{valType:"string",dflt:"",editType:"calc",description:["Set several scatter traces (on the same subplot) to the same","stackgroup in order to add their y values (or their x values if","`orientation` is *h*). If blank or omitted this trace will not be","stacked. Stacking also turns `fill` on by default, using *tonexty*","(*tonextx*) if `orientation` is *h* (*v*) and sets the default","`mode` to *lines* irrespective of point count.","You can only stack on a numeric (linear or log) axis.","Traces in a `stackgroup` will only fill to (or be filled to) other","traces in the same group. With multiple `stackgroup`s or some","traces stacked and some not, if fill-linked traces are not already","consecutive, the later ones will be pushed down in the drawing order."].join(" ")},orientation:{valType:"enumerated",values:["v","h"],editType:"calc",description:["Only relevant in the following cases:","1. when `scattermode` is set to *group*.","2. when `stackgroup` is used, and only the first","`orientation` found in the `stackgroup` will be used - including","if `visible` is *legendonly* but not if it is `false`. Sets the","stacking direction. With *v* (*h*), the y (x) values of subsequent","traces are added. Also affects the default value of `fill`."].join(" ")},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc",description:["Only relevant when `stackgroup` is used, and only the first","`groupnorm` found in the `stackgroup` will be used - including","if `visible` is *legendonly* but not if it is `false`.","Sets the normalization for the sum of this `stackgroup`.","With *fraction*, the value of each trace at each location is","divided by the sum of all trace values at that location.","*percent* is the same but multiplied by 100 to show percentages.","If there are multiple subplots, or multiple `stackgroup`s on one","subplot, each will be normalized within its own set."].join(" ")},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer zero",editType:"calc",description:["Only relevant when `stackgroup` is used, and only the first","`stackgaps` found in the `stackgroup` will be used - including","if `visible` is *legendonly* but not if it is `false`.","Determines how we handle locations at which other traces in this","group have data but this one does not.","With *infer zero* we insert a zero at these locations.","With *interpolate* we linearly interpolate between existing","values, and extrapolate a constant beyond the existing values."].join(" ")},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc",description:["Sets text elements associated with each (x,y) pair.","If a single string, the same string appears over","all the data points.","If an array of string, the items are mapped in order to the","this trace's (x,y) coordinates.","If trace `hoverinfo` contains a *text* flag and *hovertext* is not set,","these elements will be seen in the hover labels."].join(" ")},texttemplate:i({},{}),hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style",description:["Sets hover text elements associated with each (x,y) pair.","If a single string, the same string appears over","all the data points.","If an array of string, the items are mapped in order to the","this trace's (x,y) coordinates.","To be seen, trace `hoverinfo` must contain a *text* flag."].join(" ")},mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"],editType:"calc",description:["Determines the drawing mode for this scatter trace.","If the provided `mode` includes *text* then the `text` elements","appear at the coordinates. Otherwise, the `text` elements","appear on hover.","If there are less than "+f.PTS_LINESONLY+" points","and the trace is not stacked","then the default is *lines+markers*. Otherwise, *lines*."].join(" ")},hoveron:{valType:"flaglist",flags:["points","fills"],editType:"style",description:["Do the hover effects highlight individual points (markers or","line points) or do they highlight filled regions?","If the fill is *toself* or *tonext* and there are no markers","or text, then the default is *fills*, otherwise it is *points*."].join(" ")},hovertemplate:a({},{keys:f.eventDataKeys}),line:{color:{valType:"color",editType:"style",anim:!0,description:"Sets the line color."},width:{valType:"number",min:0,dflt:2,editType:"style",anim:!0,description:"Sets the line width (in px)."},shape:{valType:"enumerated",values:["linear","spline","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot",description:["Determines the line shape.","With *spline* the lines are drawn using spline interpolation.","The other available values correspond to step-wise line shapes."].join(" ")},smoothing:{valType:"number",min:0,max:1.3,dflt:1,editType:"plot",description:["Has an effect only if `shape` is set to *spline*","Sets the amount of smoothing.","*0* corresponds to no smoothing (equivalent to a *linear* shape)."].join(" ")},dash:d({},l,{editType:"style"}),backoff:{valType:"number",min:0,dflt:"auto",arrayOk:!0,editType:"plot",description:["Sets the line back off from the end point of the nth line segment (in px).","This option is useful e.g. to avoid overlap with arrowhead markers.","With *auto* the lines would trim before markers if `marker.angleref` is set to *previous*."].join(" ")},simplify:{valType:"boolean",dflt:!0,editType:"plot",description:["Simplifies lines by removing nearly-collinear points. When transitioning","lines, it may be desirable to disable this so that the number of points","along the resulting SVG path is unaffected."].join(" ")},editType:"plot"},connectgaps:{valType:"boolean",dflt:!1,editType:"calc",description:["Determines whether or not gaps","(i.e. {nan} or missing values)","in the provided data arrays are connected."].join(" ")},cliponaxis:{valType:"boolean",dflt:!0,editType:"plot",description:["Determines whether or not markers and text nodes","are clipped about the subplot axes.","To show markers and text nodes above axis lines and tick labels,","make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*."].join(" ")},fill:{valType:"enumerated",values:["none","tozeroy","tozerox","tonexty","tonextx","toself","tonext"],editType:"calc",description:["Sets the area to fill with a solid color.","Defaults to *none* unless this trace is stacked, then it gets","*tonexty* (*tonextx*) if `orientation` is *v* (*h*)","Use with `fillcolor` if not *none*.","*tozerox* and *tozeroy* fill to x=0 and y=0 respectively.","*tonextx* and *tonexty* fill between the endpoints of this","trace and the endpoints of the trace before it, connecting those","endpoints with straight lines (to make a stacked area graph);","if there is no trace before it, they behave like *tozerox* and","*tozeroy*.","*toself* connects the endpoints of the trace (or each segment","of the trace if it has gaps) into a closed shape.","*tonext* fills the space between two traces if one completely","encloses the other (eg consecutive contour lines), and behaves like","*toself* if there is no trace before it. *tonext* should not be","used if one trace does not enclose the other.","Traces in a `stackgroup` will only fill to (or be filled to) other","traces in the same group. With multiple `stackgroup`s or some","traces stacked and some not, if fill-linked traces are not already","consecutive, the later ones will be pushed down in the drawing order."].join(" ")},fillcolor:h(!0),fillgradient:d({type:{valType:"enumerated",values:["radial","horizontal","vertical","none"],dflt:"none",editType:"calc",description:["Sets the type/orientation of the color gradient for the fill.","Defaults to *none*."].join(" ")},start:{valType:"number",editType:"calc",description:["Sets the gradient start value.","It is given as the absolute position on the axis determined by","the orientiation. E.g., if orientation is *horizontal*, the","gradient will be horizontal and start from the x-position","given by start. If omitted, the gradient starts at the lowest","value of the trace along the respective axis.","Ignored if orientation is *radial*."].join(" ")},stop:{valType:"number",editType:"calc",description:["Sets the gradient end value.","It is given as the absolute position on the axis determined by","the orientiation. E.g., if orientation is *horizontal*, the","gradient will be horizontal and end at the x-position","given by end. If omitted, the gradient ends at the highest","value of the trace along the respective axis.","Ignored if orientation is *radial*."].join(" ")},colorscale:{valType:"colorscale",editType:"style",description:["Sets the fill gradient colors as a color scale.","The color scale is interpreted as a gradient","applied in the direction specified by *orientation*,","from the lowest to the highest value of the scatter","plot along that axis, or from the center to the most","distant point from it, if orientation is *radial*."].join(" ")},editType:"calc",description:["Sets a fill gradient.","If not specified, the fillcolor is used instead."].join(" ")}),fillpattern:c,marker:d({symbol:{valType:"enumerated",values:u.symbolList,dflt:"circle",arrayOk:!0,editType:"style",description:["Sets the marker symbol type.","Adding 100 is equivalent to appending *-open* to a symbol name.","Adding 200 is equivalent to appending *-dot* to a symbol name.","Adding 300 is equivalent to appending *-open-dot*","or *dot-open* to a symbol name."].join(" ")},opacity:{valType:"number",min:0,max:1,arrayOk:!0,editType:"style",anim:!0,description:"Sets the marker opacity."},angle:{valType:"angle",dflt:0,arrayOk:!0,editType:"plot",anim:!1,description:["Sets the marker angle in respect to `angleref`."].join(" ")},angleref:{valType:"enumerated",values:["previous","up"],dflt:"up",editType:"plot",anim:!1,description:["Sets the reference for marker angle.","With *previous*, angle 0 points along the line from the previous point to this one.","With *up*, angle 0 points toward the top of the screen."].join(" ")},standoff:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"plot",anim:!0,description:["Moves the marker away from the data point in the direction of `angle` (in px).","This can be useful for example if you have another marker at this","location and you want to point an arrowhead marker at it."].join(" ")},size:{valType:"number",min:0,dflt:6,arrayOk:!0,editType:"calc",anim:!0,description:"Sets the marker size (in px)."},maxdisplayed:{valType:"number",min:0,dflt:0,editType:"plot",description:["Sets a maximum number of points to be drawn on the graph.","*0* corresponds to no limit."].join(" ")},sizeref:{valType:"number",dflt:1,editType:"calc",description:["Has an effect only if `marker.size` is set to a numerical array.","Sets the scale factor used to determine the rendered size of","marker points. Use with `sizemin` and `sizemode`."].join(" ")},sizemin:{valType:"number",min:0,dflt:0,editType:"calc",description:["Has an effect only if `marker.size` is set to a numerical array.","Sets the minimum size (in px) of the rendered marker points."].join(" ")},sizemode:{valType:"enumerated",values:["diameter","area"],dflt:"diameter",editType:"calc",description:["Has an effect only if `marker.size` is set to a numerical array.","Sets the rule for which the data in `size` is converted","to pixels."].join(" ")},line:d({width:{valType:"number",min:0,arrayOk:!0,editType:"style",anim:!0,description:"Sets the width (in px) of the lines bounding the marker points."},editType:"calc"},o("marker.line",{anim:!0})),gradient:{type:{valType:"enumerated",values:["radial","horizontal","vertical","none"],arrayOk:!0,dflt:"none",editType:"calc",description:["Sets the type of gradient used to fill the markers"].join(" ")},color:{valType:"color",arrayOk:!0,editType:"calc",description:["Sets the final color of the gradient fill:","the center color for radial, the right for horizontal,","or the bottom for vertical."].join(" ")},editType:"calc"},editType:"calc"},o("marker",{anim:!0})),selected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style",description:"Sets the marker opacity of selected points."},color:{valType:"color",editType:"style",description:"Sets the marker color of selected points."},size:{valType:"number",min:0,editType:"style",description:"Sets the marker size of selected points."},editType:"style"},textfont:{color:{valType:"color",editType:"style",description:"Sets the text font color of selected points."},editType:"style"},editType:"style"},unselected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style",description:"Sets the marker opacity of unselected points, applied only when a selection exists."},color:{valType:"color",editType:"style",description:"Sets the marker color of unselected points, applied only when a selection exists."},size:{valType:"number",min:0,editType:"style",description:"Sets the marker size of unselected points, applied only when a selection exists."},editType:"style"},textfont:{color:{valType:"color",editType:"style",description:"Sets the text font color of unselected points, applied only when a selection exists."},editType:"style"},editType:"style"},textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"middle center",arrayOk:!0,editType:"calc",description:["Sets the positions of the `text` elements","with respects to the (x,y) coordinates."].join(" ")},textfont:s({editType:"calc",colorEditType:"style",arrayOk:!0,description:"Sets the text font."}),zorder:{valType:"integer",dflt:0,editType:"plot",description:["Sets the layer on which this trace is displayed, relative to","other SVG traces on the same subplot. SVG traces with higher `zorder`","appear in front of those with lower `zorder`."].join(" ")}}},26661:(e,t,n)=>{"use strict";var r=n(2964),i=n(14932),a=n(70465),o=n(16783),s=n(79308).BADNUM,l=n(36483),c=n(70379),u=n(20678),f=n(80720);function d(e,t,n,r,i,o,s){var c=t._length,u=e._fullLayout,f=n._id,d=r._id,h=u._firstScatter[m(t)]===t.uid,p=(g(t,u,n,r)||{}).orientation,v=t.fill;n._minDtick=0,r._minDtick=0;var y={padded:!0},b={padded:!0};s&&(y.ppad=b.ppad=s);var x=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];x&&("tozerox"===v||"tonextx"===v&&(h||"h"===p))?y.tozero=!0:(t.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(t)||l.hasText(t))||(y.padded=!1,y.ppad=0),x&&("tozeroy"===v||"tonexty"===v&&(h||"v"===p))?b.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(b.padded=!1),f&&(t._extremes[f]=a.findExtremes(n,i,y)),d&&(t._extremes[d]=a.findExtremes(r,o,b))}function h(e,t){if(l.hasMarkers(e)){var n,r=e.marker,o=1.6*(e.marker.sizeref||1);if(n="area"===e.marker.sizemode?function(e){return Math.max(Math.sqrt((e||0)/o),3)}:function(e){return Math.max((e||0)/o,3)},i.isArrayOrTypedArray(r.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(e.marker,"size"),u=new Array(t),f=0;f<t;f++)u[f]=n(c[f]);return u}return n(r.size)}}function p(e,t){var n=m(t),r=e._firstScatter;r[n]||(r[n]=t.uid)}function m(e){var t=e.stackgroup;return e.xaxis+e.yaxis+e.type+(t?"-"+t:"")}function g(e,t,n,r){var i=e.stackgroup;if(i){var a=t._scatterStackOpts[n._id+r._id][i],o="v"===a.orientation?r:n;return"linear"===o.type||"log"===o.type?a:void 0}}e.exports={calc:function(e,t){var n,l,m,v,y,b,x=e._fullLayout,_=t._xA=a.getFromId(e,t.xaxis||"x","x"),A=t._yA=a.getFromId(e,t.yaxis||"y","y"),w=_.makeCalcdata(t,"x"),k=A.makeCalcdata(t,"y"),E=o(t,_,"x",w),T=o(t,A,"y",k),M=E.vals,S=T.vals,O=t._length,C=new Array(O),N=t.ids,R=g(t,x,_,A),L=!1;p(x,t);var P,D="x",I="y";R?(i.pushUnique(R.traceIndices,t._expandedIndex),(n="v"===R.orientation)?(I="s",P="x"):(D="s",P="y"),y="interpolate"===R.stackgaps):d(e,t,_,A,M,S,h(t,O));var j=!!t.xperiodalignment,F=!!t.yperiodalignment;for(l=0;l<O;l++){var z=C[l]={},B=r(M[l]),U=r(S[l]);B&&U?(z[D]=M[l],z[I]=S[l],j&&(z.orig_x=w[l],z.xEnd=E.ends[l],z.xStart=E.starts[l]),F&&(z.orig_y=k[l],z.yEnd=T.ends[l],z.yStart=T.starts[l])):R&&(n?B:U)?(z[P]=n?M[l]:S[l],z.gap=!0,y?(z.s=s,L=!0):z.s=0):z[D]=z[I]=s,N&&(z.id=String(N[l]))}if(u(C,t),c(e,t),f(C,t),R){for(l=0;l<C.length;)C[l][P]===s?C.splice(l,1):l++;if(i.sort(C,(function(e,t){return e[P]-t[P]||e.i-t.i})),L){for(l=0;l<C.length-1&&C[l].gap;)l++;for((b=C[l].s)||(b=C[l].s=0),m=0;m<l;m++)C[m].s=b;for(v=C.length-1;v>l&&C[v].gap;)v--;for(b=C[v].s,m=C.length-1;m>v;m--)C[m].s=b;for(;l<v;)if(C[++l].gap){for(m=l+1;C[m].gap;)m++;for(var $=C[l-1][P],H=C[l-1].s,q=(C[m].s-H)/(C[m][P]-$);l<m;)C[l].s=H+(C[l][P]-$)*q,l++}}}return C},calcMarkerSize:h,calcAxisExpansion:d,setFirstScatter:p,getStackOpts:g}},80720:(e,t,n)=>{"use strict";var r=n(14932);e.exports=function(e,t){r.isArrayOrTypedArray(t.selectedpoints)&&r.tagSelected(e,t)}},70379:(e,t,n)=>{"use strict";var r=n(17148).hasColorscale,i=n(78572),a=n(36483);e.exports=function(e,t){a.hasLines(t)&&r(t,"line")&&i(e,t,{vals:t.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(t)&&(r(t,"marker")&&i(e,t,{vals:t.marker.color,containerStr:"marker",cLetter:"c"}),r(t,"marker.line")&&i(e,t,{vals:t.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},53795:e=>{"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},94038:(e,t,n)=>{"use strict";var r=n(26661),i=n(10851).setGroupPositions;function a(e,t,n,r,i,a,o){i[r]=!0;var s={i:null,gap:!0,s:0};if(s[o]=n,e.splice(t,0,s),t&&n===e[t-1][o]){var l=e[t-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(e,t,n,r){var i=e[t-1],a=e[t+1];return 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r=n(24929),i=n(80716),a=n(36899).axisHoverFormat,o=n(80009).rb,s=n(80009).ay,l=n(37510),c=n(28163),u=n(49164),f=n(62134).extendFlat,d=n(65963).overrideAll,h=n(51061),p=r.line,m=r.marker,g=m.line,v=f({width:p.width,dash:{valType:"enumerated",values:h(c),dflt:"solid",description:"Sets the dash style of the lines."}},i("line"));function y(e){return{show:{valType:"boolean",dflt:!1,description:["Sets whether or not projections are shown along the",e,"axis."].join(" ")},opacity:{valType:"number",min:0,max:1,dflt:1,description:"Sets the projection color."},scale:{valType:"number",min:0,max:10,dflt:2/3,description:["Sets the scale factor determining the size of the","projection marker points."].join(" ")}}}var b=e.exports=d({x:r.x,y:r.y,z:{valType:"data_array",description:"Sets the z coordinates."},text:f({},r.text,{description:["Sets text elements associated with each (x,y,z) triplet.","If a single string, the same string appears over","all the data points.","If an array of string, the items 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d&&(f=d[h.lineDashes]),this.color=T(h.scatterColor)||T(h.lineColor),this.dataPoints=h.position,t={gl:this.scene.glplot.gl,position:h.position,color:h.lineColor,lineWidth:h.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:e.opacity,connectGaps:e.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(t):(this.linePlot=r(t),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var p=e.opacity;if(e.marker&&void 0!==e.marker.opacity&&(p*=e.marker.opacity),n={gl:this.scene.glplot.gl,position:h.position,color:h.scatterColor,size:h.scatterSize,glyph:h.scatterMarker,opacity:p,orthographic:!0,lineWidth:h.scatterLineWidth,lineColor:h.scatterLineColor,project:h.project,projectScale:h.projectScale,projectOpacity:h.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(n):(this.scatterPlot=i(n),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:h.position,glyph:h.text,color:h.textColor,size:h.textSize,angle:h.textAngle,alignment:h.textOffset,font:h.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:e.opacity},this.textLabels=e.hovertext||e.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:h.position,color:h.errorColor,error:h.errorBounds,lineWidth:h.errorLineWidth,capSize:h.errorCapSize,opacity:e.opacity},this.errorBars?h.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):h.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),h.delaunayAxis>=0){var m=function(e,t,n){var r,i=(n+1)%3,a=(n+2)%3,o=[],l=[];for(r=0;r<e.length;++r){var c=e[r];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(r))}var u=s(o);for(r=0;r<u.length;++r)for(var f=u[r],d=0;d<f.length;++d)f[d]=l[f[d]];return{positions:e,cells:u,meshColor:t}}(h.position,h.delaunayColor,h.delaunayAxis);m.opacity=e.opacity,this.delaunayMesh?this.delaunayMesh.update(m):(m.gl=u,this.delaunayMesh=o(m),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(e,t){var n=new v(e,t.uid);return n.update(t),n}},78755:(e,t,n)=>{"use strict";var r=n(25529),i=n(14932),a=n(36483),o=n(95331),s=n(44355),l=n(49744),c=n(30388);e.exports=function(e,t,n,u){function f(n,r){return i.coerce(e,t,c,n,r)}var d=function(e,t,n,i){var 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r=n(37510),i=n(9797),a=n(24929),o=n(36899).axisHoverFormat,s=n(80716),l=n(51061),c=n(62134).extendFlat,u=n(65963).overrideAll,f=n(34828).DASHES,d=a.line,h=a.marker,p=h.line,m=e.exports=u({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,xperiod:a.xperiod,yperiod:a.yperiod,xperiod0:a.xperiod0,yperiod0:a.yperiod0,xperiodalignment:a.xperiodalignment,yperiodalignment:a.yperiodalignment,xhoverformat:o("x"),yhoverformat:o("y"),text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"],description:["Determines the drawing mode for this scatter trace."].join(" ")},line:{color:d.color,width:d.width,shape:{valType:"enumerated",values:["linear","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot",description:["Determines the line shape.","The values correspond to step-wise line shapes."].join(" ")},dash:{valType:"enumerated",values:l(f),dflt:"solid",description:"Sets the style of the lines."}},marker:c({},s("marker"),{symbol:h.symbol,angle:h.angle,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:h.opacity,colorbar:h.colorbar,line:c({},s("marker.line"),{width:p.width})}),connectgaps:a.connectgaps,fill:c({},a.fill,{dflt:"none"}),fillcolor:i(),selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:r.opacity},"calc","nested");m.x.editType=m.y.editType=m.x0.editType=m.y0.editType="calc+clearAxisTypes",m.hovertemplate=a.hovertemplate,m.texttemplate=a.texttemplate},48855:(e,t,n)=>{"use strict";var r=n(18799);e.exports={moduleType:"trace",name:"scattergl",basePlotModule:n(41222),categories:["gl","regl","cartesian","symbols","errorBarsOK","showLegend","scatter-like"],attributes:n(54632),supplyDefaults:n(61919),crossTraceDefaults:n(84301),colorbar:n(79581),formatLabels:n(34998),calc:n(62040),hoverPoints:r.hoverPoints,selectPoints:n(85921),meta:{hrName:"scatter_gl",description:["The data visualized as scatter point or lines is set in `x` and `y`","using the WebGL plotting engine.","Bubble charts are achieved by setting `marker.size` and/or `marker.color`","to a numerical arrays."].join(" ")}}},62040:(e,t,n)=>{"use strict";var r=n(84578),i=n(14932),a=n(46136),o=n(3090).findExtremes,s=n(16783),l=n(26661),c=l.calcMarkerSize,u=l.calcAxisExpansion,f=l.setFirstScatter,d=n(70379),h=n(39598),p=n(64197),m=n(79308).BADNUM,g=n(34828).TOO_MANY_POINTS;function v(e,t,n){var r=e._extremes[t._id],i=o(t,n._bnds,{padded:!0});r.min=r.min.concat(i.min),r.max=r.max.concat(i.max)}e.exports=function(e,t){var n,o=e._fullLayout,l=t._xA=a.getFromId(e,t.xaxis,"x"),y=t._yA=a.getFromId(e,t.yaxis,"y"),b=o._plots[t.xaxis+t.yaxis],x=t._length,_=x>=g,A=2*x,w={},k=l.makeCalcdata(t,"x"),E=y.makeCalcdata(t,"y"),T=s(t,l,"x",k),M=s(t,y,"y",E),S=T.vals,O=M.vals;t._x=S,t._y=O,t.xperiodalignment&&(t._origX=k,t._xStarts=T.starts,t._xEnds=T.ends),t.yperiodalignment&&(t._origY=E,t._yStarts=M.starts,t._yEnds=M.ends);var C=new Array(A),N=new Array(x);for(n=0;n<x;n++)C[2*n]=S[n]===m?NaN:S[n],C[2*n+1]=O[n]===m?NaN:O[n],N[n]=n;if("log"===l.type)for(n=0;n<A;n+=2)C[n]=l.c2l(C[n]);if("log"===y.type)for(n=1;n<A;n+=2)C[n]=y.c2l(C[n]);_&&"log"!==l.type&&"log"!==y.type?w.tree=r(C):w.ids=N,d(e,t);var R,L=function(e,t,n,r,a,o){var s=h.style(e,n);s.marker&&(s.marker.positions=r);s.line&&r.length>1&&i.extendFlat(s.line,h.linePositions(e,n,r));if(s.errorX||s.errorY){var 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r=n(14932),i=n(25529),a=n(32640),o=n(54632),s=n(53795),l=n(36483),c=n(29796),u=n(62706),f=n(95331),d=n(44355),h=n(55591),p=n(49744);e.exports=function(e,t,n,m){function g(n,i){return r.coerce(e,t,o,n,i)}var v=!!e.marker&&a.isOpenSymbol(e.marker.symbol),y=l.isBubble(e),b=c(e,t,m,g);if(b){u(e,t,m,g),g("xhoverformat"),g("yhoverformat");var x=b<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",x),l.hasMarkers(t)&&(f(e,t,n,m,g,{noAngleRef:!0,noStandOff:!0}),g("marker.line.width",v||y?1:0)),l.hasLines(t)&&(g("connectgaps"),d(e,t,n,m,g),g("line.shape")),l.hasText(t)&&(g("texttemplate"),p(e,t,m,g));var _=(t.line||{}).color,A=(t.marker||{}).color;g("fill"),"none"!==t.fill&&h(e,t,n,g);var w=i.getComponentMethod("errorbars","supplyDefaults");w(e,t,_||A||n,{axis:"y"}),w(e,t,_||A||n,{axis:"x",inherit:"y"}),r.coerceSelectionMarkerOpacity(t,g)}else t.visible=!1}},92527:(e,t,n)=>{"use strict";var r=n(14932),i=n(39906),a=n(67709).DESELECTDIM;e.exports={styleTextSelection:function(e){var t,n,o=e[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],d=c.unselectBatch[u],h=c.textOptions[u],p=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=r.extendFlat({},h);if(f.length||d.length){var v=p.color,y=m.color,b=h.color,x=r.isArrayOrTypedArray(b);for(g.color=new Array(s._length),t=0;t<f.length;t++)n=f[t],g.color[n]=v||(x?b[n]:b);for(t=0;t<d.length;t++){n=d[t];var _=x?b[n]:b;g.color[n]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},34998:(e,t,n)=>{"use strict";var r=n(37833);e.exports=function(e,t,n){var i=e.i;return"x"in e||(e.x=t._x[i]),"y"in e||(e.y=t._y[i]),r(e,t,n)}},32640:(e,t,n)=>{"use strict";var r=n(34828);t.isOpenSymbol=function(e){return"string"==typeof e?r.OPEN_RE.test(e):e%200>100},t.isDotSymbol=function(e){return"string"==typeof e?r.DOT_RE.test(e):e>200}},18799:(e,t,n)=>{"use strict";var r=n(25529),i=n(14932),a=n(52624);function o(e,t,n,o){var s=e.xa,l=e.ya,c=e.distance,u=e.dxy,f=e.index,d={pointNumber:f,x:t[f],y:n[f]};d.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,d.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,d.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,d.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var h=o.textfont;h&&(d.ts=i.isArrayOrTypedArray(h.size)?h.size[f]:h.size,d.tc=Array.isArray(h.color)?h.color[f]:h.color,d.tf=Array.isArray(h.family)?h.family[f]:h.family);var p=o.marker;p&&(d.ms=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,d.mo=i.isArrayOrTypedArray(p.opacity)?p.opacity[f]:p.opacity,d.mx=i.isArrayOrTypedArray(p.symbol)?p.symbol[f]:p.symbol,d.ma=i.isArrayOrTypedArray(p.angle)?p.angle[f]:p.angle,d.mc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color);var m=p&&p.line;m&&(d.mlc=Array.isArray(m.color)?m.color[f]:m.color,d.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=p&&p.gradient;g&&"none"!==g.type&&(d.mgt=Array.isArray(g.type)?g.type[f]:g.type,d.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(d.x,!0),y=l.c2p(d.y,!0),b=d.mrc||1,x=o.hoverlabel;x&&(d.hbg=Array.isArray(x.bgcolor)?x.bgcolor[f]:x.bgcolor,d.hbc=Array.isArray(x.bordercolor)?x.bordercolor[f]:x.bordercolor,d.hts=i.isArrayOrTypedArray(x.font.size)?x.font.size[f]:x.font.size,d.htc=Array.isArray(x.font.color)?x.font.color[f]:x.font.color,d.htf=Array.isArray(x.font.family)?x.font.family[f]:x.font.family,d.hnl=i.isArrayOrTypedArray(x.namelength)?x.namelength[f]:x.namelength);var _=o.hoverinfo;_&&(d.hi=Array.isArray(_)?_[f]:_);var A=o.hovertemplate;A&&(d.ht=Array.isArray(A)?A[f]:A);var w={};w[e.index]=d;var k=o._origX,E=o._origY,T=i.extendFlat({},e,{color:a(o,d),x0:v-b,x1:v+b,xLabelVal:k?k[f]:d.x,y0:y-b,y1:y+b,yLabelVal:E?E[f]:d.y,cd:w,distance:c,spikeDistance:u,hovertemplate:d.ht});return d.htx?T.text=d.htx:d.tx?T.text=d.tx:o.text&&(T.text=o.text),i.fillText(d,o,T),r.getComponentMethod("errorbars","hoverInfo")(d,o,T),T}e.exports={hoverPoints:function(e,t,n,r){var i,a,s,l,c,u,f,d,h,p,m=e.cd,g=m[0].t,v=m[0].trace,y=e.xa,b=e.ya,x=g.x,_=g.y,A=y.c2p(t),w=b.c2p(n),k=e.distance;if(g.tree){var E=y.p2c(A-k),T=y.p2c(A+k),M=b.p2c(w-k),S=b.p2c(w+k);i="x"===r?g.tree.range(Math.min(E,T),Math.min(b._rl[0],b._rl[1]),Math.max(E,T),Math.max(b._rl[0],b._rl[1])):g.tree.range(Math.min(E,T),Math.min(M,S),Math.max(E,T),Math.max(M,S))}else i=g.ids;var O=k;if("x"===r){var C=!!v.xperiodalignment,N=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=x[a=i[u]],f=Math.abs(y.c2p(l)-A),C){var R=y.c2p(v._xStarts[a]),L=y.c2p(v._xEnds[a]);f=A>=Math.min(R,L)&&A<=Math.max(R,L)?0:1/0}if(f<O){if(O=f,c=_[a],d=b.c2p(c)-w,N){var P=b.c2p(v._yStarts[a]),D=b.c2p(v._yEnds[a]);d=w>=Math.min(P,D)&&w<=Math.max(P,D)?0:1/0}p=Math.sqrt(f*f+d*d),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=x[a=i[u]],c=_[a],f=y.c2p(l)-A,d=b.c2p(c)-w,(h=Math.sqrt(f*f+d*d))<O&&(O=p=h,s=a);return e.index=s,e.distance=O,e.dxy=p,void 0===s?[e]:[o(e,x,_,v)]},calcHover:o}},5557:(e,t,n)=>{"use strict";var r=n(48855);r.plot=n(90554),e.exports=r},90554:(e,t,n)=>{"use strict";var r=n(61735),i=n(29969),a=n(55795),o=n(45713),s=n(14932),l=n(34321).selectMode,c=n(98856),u=n(36483),f=n(76353),d=n(92527).styleTextSelection,h={};function p(e,t,n,r){var i=e._size,a=e.width*r,o=e.height*r,s=i.l*r,l=i.b*r,c=i.r*r,u=i.t*r,f=i.w*r,d=i.h*r;return[s+t.domain[0]*f,l+n.domain[0]*d,a-c-(1-t.domain[1])*f,o-u-(1-n.domain[1])*d]}(e.exports=function(e,t,n){if(n.length){var m,g,v=e._fullLayout,y=t._scene,b=t.xaxis,x=t.yaxis;if(y)if(c(e,["ANGLE_instanced_arrays","OES_element_index_uint"],h)){var _=y.count,A=v._glcanvas.data()[0].regl;if(f(e,t,n),y.dirty){if(!y.line2d&&!y.error2d||y.scatter2d||y.fill2d||y.glText||A.clear({}),!0===y.error2d&&(y.error2d=a(A)),!0===y.line2d&&(y.line2d=i(A)),!0===y.scatter2d&&(y.scatter2d=r(A)),!0===y.fill2d&&(y.fill2d=i(A)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(A);if(y.glText){if(_>y.glText.length){var w=_-y.glText.length;for(m=0;m<w;m++)y.glText.push(new o(A))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(e){e.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(e){if(e&&e.positions){for(var t=e.positions,n=0;n<t.length&&(isNaN(t[n])||isNaN(t[n+1]));)n+=2;for(var r=t.length-2;r>n&&(isNaN(t[r])||isNaN(t[r+1]));)r-=2;e.positions=t.slice(n,r+2)}return e})),y.line2d.update(y.lineOptions)),y.error2d){var E=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(E)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(e,t){var r=n[t];if(e&&r&&r[0]&&r[0].trace){var i,a,o=r[0],s=o.trace,l=o.t,c=y.lineOptions[t],u=[];s._ownfill&&u.push(t),s._nexttrace&&u.push(t+1),u.length&&(y.fillOrder[t]=u);var f,d,h=[],p=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<p.length&&isNaN(p[f+1]);)f+=2;for(d=p.length-2;d>f&&isNaN(p[d+1]);)d-=2;0!==p[f+1]&&(h=[p[f],0]),h=h.concat(p.slice(f,d+2)),0!==p[d+1]&&(h=h.concat([p[d],0]))}else if("tozerox"===s.fill){for(f=0;f<p.length&&isNaN(p[f]);)f+=2;for(d=p.length-2;d>f&&isNaN(p[d]);)d-=2;0!==p[f]&&(h=[0,p[f+1]]),h=h.concat(p.slice(f,d+2)),0!==p[d]&&(h=h.concat([0,p[d+1]]))}else if("toself"===s.fill||"tonext"===s.fill){for(h=[],i=0,e.splitNull=!0,a=0;a<p.length;a+=2)(isNaN(p[a])||isNaN(p[a+1]))&&((h=h.concat(p.slice(i,a))).push(p[i],p[i+1]),h.push(null,null),i=a+2);h=h.concat(p.slice(i)),i&&h.push(p[i],p[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[t+1];if(g){var v=g.positions;if("tonexty"===s.fill){for(h=p.slice(),t=Math.floor(v.length/2);t--;){var b=v[2*t],x=v[2*t+1];isNaN(b)||isNaN(x)||h.push(b,x)}e.fill=m.fillcolor}}}}if(s._prevtrace&&"tonext"===s._prevtrace.fill){var _=y.lineOptions[t-1].positions,A=h.length/2,w=[i=A];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(w.push(a/2+A+1),i=a+2);h=h.concat(_),e.hole=w}return e.fillmode=s.fill,e.opacity=s.opacity,e.positions=h,e}})),y.fill2d.update(y.fillOptions))}var T=v.dragmode,M=l(T),S=v.clickmode.indexOf("select")>-1;for(m=0;m<_;m++){var O=n[m][0],C=O.trace,N=O.t,R=N.index,L=C._length,P=N.x,D=N.y;if(C.selectedpoints||M||S){if(M||(M=!0),C.selectedpoints){var I=y.selectBatch[R]=s.selIndices2selPoints(C),j={};for(g=0;g<I.length;g++)j[I[g]]=1;var F=[];for(g=0;g<L;g++)j[g]||F.push(g);y.unselectBatch[R]=F}var z=N.xpx=new Array(L),B=N.ypx=new Array(L);for(g=0;g<L;g++)z[g]=b.c2p(P[g]),B[g]=x.c2p(D[g])}else N.xpx=N.ypx=null}if(M){if(y.select2d||(y.select2d=r(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&n.forEach((function(e){var t=((e||[])[0]||{}).trace||{};u.hasText(t)&&d(e)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var $={viewport:p(v,b,x,e._context.plotGlPixelRatio),range:[(b._rl||b.range)[0],(x._rl||x.range)[0],(b._rl||b.range)[1],(x._rl||x.range)[1]]},H=s.repeat($,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(e){e.update($)}))}else y.init()}}).reglPrecompiled=h},64197:(e,t,n)=>{"use strict";var r=n(14932);e.exports=function(e,t){var n=t._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return t._scene||((n=t._scene={}).init=function(){r.extendFlat(n,a,i)},n.init(),n.update=function(e){var t=r.repeat(e,n.count);if(n.fill2d&&n.fill2d.update(t),n.scatter2d&&n.scatter2d.update(t),n.line2d&&n.line2d.update(t),n.error2d&&n.error2d.update(t.concat(t)),n.select2d&&n.select2d.update(t),n.glText)for(var i=0;i<n.count;i++)n.glText[i].update(e)},n.draw=function(){for(var e=n.count,t=n.fill2d,i=n.error2d,a=n.line2d,o=n.scatter2d,s=n.glText,l=n.select2d,c=n.selectBatch,u=n.unselectBatch,f=0;f<e;f++){if(t&&n.fillOrder[f]&&t.draw(n.fillOrder[f]),a&&n.lineOptions[f]&&a.draw(f),i&&(n.errorXOptions[f]&&i.draw(f),n.errorYOptions[f]&&i.draw(f+e)),o&&n.markerOptions[f])if(u[f].length){var d=r.repeat([],n.count);d[f]=u[f],o.draw(d)}else c[f].length||o.draw(f);s[f]&&n.textOptions[f]&&s[f].render()}l&&l.draw(c),n.dirty=!1},n.destroy=function(){n.fill2d&&n.fill2d.destroy&&n.fill2d.destroy(),n.scatter2d&&n.scatter2d.destroy&&n.scatter2d.destroy(),n.error2d&&n.error2d.destroy&&n.error2d.destroy(),n.line2d&&n.line2d.destroy&&n.line2d.destroy(),n.select2d&&n.select2d.destroy&&n.select2d.destroy(),n.glText&&n.glText.forEach((function(e){e.destroy&&e.destroy()})),n.lineOptions=null,n.fillOptions=null,n.markerOptions=null,n.markerSelectedOptions=null,n.markerUnselectedOptions=null,n.errorXOptions=null,n.errorYOptions=null,n.textOptions=null,n.textSelectedOptions=null,n.textUnselectedOptions=null,n.selectBatch=null,n.unselectBatch=null,t._scene=null}),n.dirty||r.extendFlat(n,i),n}},85921:(e,t,n)=>{"use strict";var r=n(36483),i=n(92527).styleTextSelection;e.exports=function(e,t){var n=e.cd,a=e.xaxis,o=e.yaxis,s=[],l=n[0].trace,c=n[0].t,u=l._length,f=c.x,d=c.y,h=c._scene,p=c.index;if(!h)return s;var m=r.hasText(l),g=r.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],b=[];if(!1!==t&&!t.degenerate)for(var x=0;x<u;x++)t.contains([c.xpx[x],c.ypx[x]],!1,x,e)?(y.push(x),s.push({pointNumber:x,x:a.c2d(f[x]),y:o.c2d(d[x])})):b.push(x);if(g){var _=h.scatter2d;if(y.length||b.length){if(!h.selectBatch[p].length&&!h.unselectBatch[p].length){var A=new Array(h.count);A[p]=h.markerUnselectedOptions[p],_.update.apply(_,A)}}else{var w=new Array(h.count);w[p]=h.markerOptions[p],_.update.apply(_,w)}}return h.selectBatch[p]=y,h.unselectBatch[p]=b,m&&i(n),s}},22887:(e,t,n)=>{"use strict";var r=n(37510),i=n(80009).rb,a=n(80009).ay,o=n(80716),s=n(28039).u,l=n(26493),c=n(77201),u=n(62134).extendFlat,f=n(43151).k;e.exports={labels:{valType:"data_array",editType:"calc",description:["Sets the labels of each of the sectors."].join(" ")},parents:{valType:"data_array",editType:"calc",description:["Sets the parent sectors for each of the sectors.","Empty string items '' are understood to reference","the root node in the hierarchy.",'If `ids` is filled, `parents` items are understood to be "ids" themselves.',"When `ids` is not set, plotly attempts to find matching items in `labels`,","but beware they must be unique."].join(" ")},values:{valType:"data_array",editType:"calc",description:["Sets the values associated with each of the sectors.","Use with `branchvalues` to determine how the values are summed."].join(" ")},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc",description:["Determines how the items in `values` are summed.","When set to *total*, items in `values` are taken to be value of all its descendants.","When set to *remainder*, items in `values` corresponding to the root and the branches sectors","are taken to be the extra part not part of the sum of the values at their leaves."].join(" ")},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc",description:["Determines default for `values` when it is not provided,","by inferring a 1 for each of the *leaves* and/or *branches*, otherwise 0."].join(" ")},level:{valType:"any",editType:"plot",anim:!0,description:["Sets the level from which this trace hierarchy is rendered.","Set `level` to `''` to start from the root node in the hierarchy.",'Must be an "id" if `ids` is filled in, otherwise plotly attempts to find a matching',"item in `labels`."].join(" ")},maxdepth:{valType:"integer",editType:"plot",dflt:-1,description:["Sets the number of rendered sectors from any given `level`.","Set `maxdepth` to *-1* to render all the levels in the hierarchy."].join(" ")},marker:u({colors:{valType:"data_array",editType:"calc",description:["Sets the color of each sector of this trace.","If not specified, the default trace color set is used","to pick the sector colors."].join(" ")},line:{color:u({},l.marker.line.color,{dflt:null,description:["Sets the color of the line enclosing each sector.","Defaults to the `paper_bgcolor` value."].join(" ")}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1,description:["Sets the opacity of the leaves. With colorscale","it is defaulted to 1; otherwise it is defaulted to 0.7"].join(" ")},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent parent"],extras:["none"],editType:"plot",description:["Determines which trace information appear on the graph."].join(" ")},texttemplate:a({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:l.hovertext,hoverinfo:u({},r.hoverinfo,{flags:["label","text","value","name","current path","percent root","percent entry","percent parent"],dflt:"label+text+value+name"}),hovertemplate:i({},{keys:c.eventDataKeys}),textfont:l.textfont,insidetextorientation:l.insidetextorientation,insidetextfont:l.insidetextfont,outsidetextfont:u({},l.outsidetextfont,{description:["Sets the font used for `textinfo` lying outside the sector.","This option refers to the root of the hierarchy","presented at the center of a sunburst graph.","Please note that if a hierarchy has multiple root nodes,","this option won't have any effect and `insidetextfont` would be used."].join(" ")}),rotation:{valType:"angle",dflt:0,editType:"plot",description:["Rotates the whole diagram counterclockwise by some angle.","By default the first slice starts at 3 o'clock."].join(" ")},sort:l.sort,root:{color:{valType:"color",editType:"calc",dflt:"rgba(0,0,0,0)",description:["sets the color of the root node for a sunburst/treemap/icicle trace.","this has no effect when a colorscale is used to set the markers."].join(" ")},editType:"calc"},domain:s({name:"sunburst",trace:!0,editType:"calc"})}},72423:(e,t,n)=>{"use strict";var r=n(75446),i=n(2964),a=n(14932),o=n(16769).makeColorScaleFuncFromTrace,s=n(45905).makePullColorFn,l=n(45905).generateExtendedColors,c=n(16769).calc,u=n(79308).ALMOST_EQUAL,f={},d={},h={};function p(e,t,n){var r=0,i=e.children;if(i){for(var a=i.length,o=0;o<a;o++)r+=p(i[o],t,n);n.branches&&r++}else n.leaves&&r++;return e.value=e.data.data.value=r,t._values||(t._values=[]),t._values[e.data.data.i]=r,r}t.calc=function(e,t){var n,l,f,d,h,m,g=e._fullLayout,v=t.ids,y=a.isArrayOrTypedArray(v),b=t.labels,x=t.parents,_=t.values,A=a.isArrayOrTypedArray(_),w=[],k={},E={},T=function(e){return e||"number"==typeof e},M=function(e){return!A||i(_[e])&&_[e]>=0};y?(n=Math.min(v.length,x.length),l=function(e){return T(v[e])&&M(e)},f=function(e){return String(v[e])}):(n=Math.min(b.length,x.length),l=function(e){return T(b[e])&&M(e)},f=function(e){return String(b[e])}),A&&(n=Math.min(n,_.length));for(var S=0;S<n;S++)if(l(S)){var O=f(S),C=T(x[S])?String(x[S]):"",N={i:S,id:O,pid:C,label:T(b[S])?String(b[S]):""};A&&(N.v=+_[S]),w.push(N),h=O,k[d=C]?k[d].push(h):k[d]=[h],E[h]=1}if(k[""]){if(k[""].length>1){for(var R=a.randstr(),L=0;L<w.length;L++)""===w[L].pid&&(w[L].pid=R);w.unshift({hasMultipleRoots:!0,id:R,pid:"",label:""})}}else{var P,D=[];for(P in k)E[P]||D.push(P);if(1!==D.length)return a.warn(["Multiple implied roots, 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h=r.select(this),p=i.ensureSingle(h,"path","surface",(function(e){e.style("pointer-events",S?"none":"all")}));w?p.transition().attrTween("d",(function(e){var t=E(e,d,M,[g,v]);return function(e){return x(t(e))}})):p.attr("d",x),h.call(f,n,e,t,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,e,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:e._transitioning}),p.call(l,s,N,e,{hovered:!1}),s._text=(u.getPtLabel(s)||"").split("<br>").join(" ")||"";var m=i.ensureSingle(h,"g","slicetext"),k=i.ensureSingle(m,"text","",(function(e){e.attr("data-notex",1)})),C=i.ensureUniformFontSize(e,u.determineTextFont(N,s,O.font,{onPathbar:!0}));k.text(s._text||" ").classed("slicetext",!0).attr("text-anchor","start").call(a.font,C).call(o.convertToTspans,e),s.textBB=a.bBox(k.node()),s.transform=_(s,{fontSize:C.size,onPathbar:!0}),s.transform.fontSize=C.size,w?k.transition().attrTween("transform",(function(e){var 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g=m.width,v=m.height,y=m.viewX,b=m.viewY,x=m.pathSlice,_=m.toMoveInsideSlice,A=m.strTransform,w=m.hasTransition,k=m.handleSlicesExit,E=m.makeUpdateSliceInterpolator,T=m.makeUpdateTextInterpolator,M=m.prevEntry,S=e._context.staticPlot,O=e._fullLayout,C=t[0].trace,N=-1!==C.textposition.indexOf("left"),R=-1!==C.textposition.indexOf("right"),L=-1!==C.textposition.indexOf("bottom"),P=!L&&!C.marker.pad.t||L&&!C.marker.pad.b,D=s(n,[g,v],{packing:C.tiling.packing,squarifyratio:C.tiling.squarifyratio,flipX:C.tiling.flip.indexOf("x")>-1,flipY:C.tiling.flip.indexOf("y")>-1,pad:{inner:C.tiling.pad,top:C.marker.pad.t,left:C.marker.pad.l,right:C.marker.pad.r,bottom:C.marker.pad.b}}).descendants(),I=1/0,j=-1/0;D.forEach((function(e){var t=e.depth;t>=C._maxDepth?(e.x0=e.x1=(e.x0+e.x1)/2,e.y0=e.y1=(e.y0+e.y1)/2):(I=Math.min(I,t),j=Math.max(j,t))})),p=p.data(D,u.getPtId),C._maxVisibleLayers=isFinite(j)?j-I+1:0,p.enter().append("g").classed("slice",!0),k(p,h,{},[g,v],x),p.order();var F=null;if(w&&M){var 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x(t(e))}})):k.attr("d",x),m.call(f,n,e,t,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,e,{isTransitioning:e._transitioning}),k.call(l,s,C,e,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text="":s._text=p?P?"":u.getPtLabel(s)||"":d(s,n,C,t,O)||"";var M=i.ensureSingle(m,"g","slicetext"),D=i.ensureSingle(M,"text","",(function(e){e.attr("data-notex",1)})),I=i.ensureUniformFontSize(e,u.determineTextFont(C,s,O.font)),j=s._text||" ",F=p&&-1===j.indexOf("<br>");D.text(j).classed("slicetext",!0).attr("text-anchor",R?"end":N||F?"start":"middle").call(a.font,I).call(o.convertToTspans,e),s.textBB=a.bBox(D.node()),s.transform=_(s,{fontSize:I.size,isHeader:p}),s.transform.fontSize=I.size,w?D.transition().attrTween("transform",(function(e){var t=T(e,h,B(),[g,v]);return function(e){return A(t(e))}})):D.attr("transform",A(s))})),F}},24894:e=>{"use strict";e.exports=function e(t,n,r){var i;r.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),r.flipX&&(i=t.x0,t.x0=n[0]-t.x1,t.x1=n[0]-i),r.flipY&&(i=t.y0,t.y0=n[1]-t.y1,t.y1=n[1]-i);var a=t.children;if(a)for(var o=0;o<a.length;o++)e(a[o],n,r)}},22186:(e,t,n)=>{"use strict";e.exports={moduleType:"trace",name:"treemap",basePlotModule:n(76043),categories:[],animatable:!0,attributes:n(71369),layoutAttributes:n(41348),supplyDefaults:n(16558),supplyLayoutDefaults:n(10291),calc:n(74157)._,crossTraceCalc:n(74157).t,plot:n(79875),style:n(97635).style,colorbar:n(79581),meta:{description:["Visualize hierarchal data from leaves (and/or outer branches) towards root","with rectangles. The treemap sectors are determined by the entries in","*labels* or *ids* and in *parents*."].join(" ")}}},41348:e=>{"use strict";e.exports={treemapcolorway:{valType:"colorlist",editType:"calc",description:["Sets the default treemap slice colors. Defaults to the main","`colorway` used for trace colors. If you specify a new","list here it can still be extended with lighter and darker","colors, see `extendtreemapcolors`."].join(" ")},extendtreemapcolors:{valType:"boolean",dflt:!0,editType:"calc",description:["If `true`, the treemap slice colors (whether given by `treemapcolorway` or","inherited from `colorway`) will be extended to three times its","original length by first repeating every color 20% lighter then","each color 20% darker. 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Ee=(c+(r=r+Math.imul(f,pe)|0)|0)+((8191&(i=(i=i+Math.imul(f,me)|0)+Math.imul(d,pe)|0))<<13)|0;c=((a=a+Math.imul(d,me)|0)+(i>>>13)|0)+(Ee>>>26)|0,Ee&=67108863,r=Math.imul(F,q),i=(i=Math.imul(F,V))+Math.imul(z,q)|0,a=Math.imul(z,V),r=r+Math.imul(D,G)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(I,G)|0,a=a+Math.imul(I,Y)|0,r=r+Math.imul(R,K)|0,i=(i=i+Math.imul(R,Z)|0)+Math.imul(L,K)|0,a=a+Math.imul(L,Z)|0,r=r+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,ee)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,ee)|0,r=r+Math.imul(T,ne)|0,i=(i=i+Math.imul(T,re)|0)+Math.imul(M,ne)|0,a=a+Math.imul(M,re)|0,r=r+Math.imul(w,ae)|0,i=(i=i+Math.imul(w,oe)|0)+Math.imul(k,ae)|0,a=a+Math.imul(k,oe)|0,r=r+Math.imul(x,le)|0,i=(i=i+Math.imul(x,ce)|0)+Math.imul(_,le)|0,a=a+Math.imul(_,ce)|0,r=r+Math.imul(v,fe)|0,i=(i=i+Math.imul(v,de)|0)+Math.imul(y,fe)|0,a=a+Math.imul(y,de)|0;var Te=(c+(r=r+Math.imul(p,pe)|0)|0)+((8191&(i=(i=i+Math.imul(p,me)|0)+Math.imul(m,pe)|0))<<13)|0;c=((a=a+Math.imul(m,me)|0)+(i>>>13)|0)+(Te>>>26)|0,Te&=67108863,r=Math.imul(F,G),i=(i=Math.imul(F,Y))+Math.imul(z,G)|0,a=Math.imul(z,Y),r=r+Math.imul(D,K)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,Z)|0,r=r+Math.imul(R,Q)|0,i=(i=i+Math.imul(R,ee)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,ee)|0,r=r+Math.imul(O,ne)|0,i=(i=i+Math.imul(O,re)|0)+Math.imul(C,ne)|0,a=a+Math.imul(C,re)|0,r=r+Math.imul(T,ae)|0,i=(i=i+Math.imul(T,oe)|0)+Math.imul(M,ae)|0,a=a+Math.imul(M,oe)|0,r=r+Math.imul(w,le)|0,i=(i=i+Math.imul(w,ce)|0)+Math.imul(k,le)|0,a=a+Math.imul(k,ce)|0,r=r+Math.imul(x,fe)|0,i=(i=i+Math.imul(x,de)|0)+Math.imul(_,fe)|0,a=a+Math.imul(_,de)|0;var Me=(c+(r=r+Math.imul(v,pe)|0)|0)+((8191&(i=(i=i+Math.imul(v,me)|0)+Math.imul(y,pe)|0))<<13)|0;c=((a=a+Math.imul(y,me)|0)+(i>>>13)|0)+(Me>>>26)|0,Me&=67108863,r=Math.imul(F,K),i=(i=Math.imul(F,Z))+Math.imul(z,K)|0,a=Math.imul(z,Z),r=r+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,ee)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,ee)|0,r=r+Math.imul(R,ne)|0,i=(i=i+Math.imul(R,re)|0)+Math.imul(L,ne)|0,a=a+Math.imul(L,re)|0,r=r+Math.imul(O,ae)|0,i=(i=i+Math.imul(O,oe)|0)+Math.imul(C,ae)|0,a=a+Math.imul(C,oe)|0,r=r+Math.imul(T,le)|0,i=(i=i+Math.imul(T,ce)|0)+Math.imul(M,le)|0,a=a+Math.imul(M,ce)|0,r=r+Math.imul(w,fe)|0,i=(i=i+Math.imul(w,de)|0)+Math.imul(k,fe)|0,a=a+Math.imul(k,de)|0;var Se=(c+(r=r+Math.imul(x,pe)|0)|0)+((8191&(i=(i=i+Math.imul(x,me)|0)+Math.imul(_,pe)|0))<<13)|0;c=((a=a+Math.imul(_,me)|0)+(i>>>13)|0)+(Se>>>26)|0,Se&=67108863,r=Math.imul(F,Q),i=(i=Math.imul(F,ee))+Math.imul(z,Q)|0,a=Math.imul(z,ee),r=r+Math.imul(D,ne)|0,i=(i=i+Math.imul(D,re)|0)+Math.imul(I,ne)|0,a=a+Math.imul(I,re)|0,r=r+Math.imul(R,ae)|0,i=(i=i+Math.imul(R,oe)|0)+Math.imul(L,ae)|0,a=a+Math.imul(L,oe)|0,r=r+Math.imul(O,le)|0,i=(i=i+Math.imul(O,ce)|0)+Math.imul(C,le)|0,a=a+Math.imul(C,ce)|0,r=r+Math.imul(T,fe)|0,i=(i=i+Math.imul(T,de)|0)+Math.imul(M,fe)|0,a=a+Math.imul(M,de)|0;var Oe=(c+(r=r+Math.imul(w,pe)|0)|0)+((8191&(i=(i=i+Math.imul(w,me)|0)+Math.imul(k,pe)|0))<<13)|0;c=((a=a+Math.imul(k,me)|0)+(i>>>13)|0)+(Oe>>>26)|0,Oe&=67108863,r=Math.imul(F,ne),i=(i=Math.imul(F,re))+Math.imul(z,ne)|0,a=Math.imul(z,re),r=r+Math.imul(D,ae)|0,i=(i=i+Math.imul(D,oe)|0)+Math.imul(I,ae)|0,a=a+Math.imul(I,oe)|0,r=r+Math.imul(R,le)|0,i=(i=i+Math.imul(R,ce)|0)+Math.imul(L,le)|0,a=a+Math.imul(L,ce)|0,r=r+Math.imul(O,fe)|0,i=(i=i+Math.imul(O,de)|0)+Math.imul(C,fe)|0,a=a+Math.imul(C,de)|0;var Ce=(c+(r=r+Math.imul(T,pe)|0)|0)+((8191&(i=(i=i+Math.imul(T,me)|0)+Math.imul(M,pe)|0))<<13)|0;c=((a=a+Math.imul(M,me)|0)+(i>>>13)|0)+(Ce>>>26)|0,Ce&=67108863,r=Math.imul(F,ae),i=(i=Math.imul(F,oe))+Math.imul(z,ae)|0,a=Math.imul(z,oe),r=r+Math.imul(D,le)|0,i=(i=i+Math.imul(D,ce)|0)+Math.imul(I,le)|0,a=a+Math.imul(I,ce)|0,r=r+Math.imul(R,fe)|0,i=(i=i+Math.imul(R,de)|0)+Math.imul(L,fe)|0,a=a+Math.imul(L,de)|0;var Ne=(c+(r=r+Math.imul(O,pe)|0)|0)+((8191&(i=(i=i+Math.imul(O,me)|0)+Math.imul(C,pe)|0))<<13)|0;c=((a=a+Math.imul(C,me)|0)+(i>>>13)|0)+(Ne>>>26)|0,Ne&=67108863,r=Math.imul(F,le),i=(i=Math.imul(F,ce))+Math.imul(z,le)|0,a=Math.imul(z,ce),r=r+Math.imul(D,fe)|0,i=(i=i+Math.imul(D,de)|0)+Math.imul(I,fe)|0,a=a+Math.imul(I,de)|0;var Re=(c+(r=r+Math.imul(R,pe)|0)|0)+((8191&(i=(i=i+Math.imul(R,me)|0)+Math.imul(L,pe)|0))<<13)|0;c=((a=a+Math.imul(L,me)|0)+(i>>>13)|0)+(Re>>>26)|0,Re&=67108863,r=Math.imul(F,fe),i=(i=Math.imul(F,de))+Math.imul(z,fe)|0,a=Math.imul(z,de);var Le=(c+(r=r+Math.imul(D,pe)|0)|0)+((8191&(i=(i=i+Math.imul(D,me)|0)+Math.imul(I,pe)|0))<<13)|0;c=((a=a+Math.imul(I,me)|0)+(i>>>13)|0)+(Le>>>26)|0,Le&=67108863;var Pe=(c+(r=Math.imul(F,pe))|0)+((8191&(i=(i=Math.imul(F,me))+Math.imul(z,pe)|0))<<13)|0;return c=((a=Math.imul(z,me))+(i>>>13)|0)+(Pe>>>26)|0,Pe&=67108863,l[0]=ge,l[1]=ve,l[2]=ye,l[3]=be,l[4]=xe,l[5]=_e,l[6]=Ae,l[7]=we,l[8]=ke,l[9]=Ee,l[10]=Te,l[11]=Me,l[12]=Se,l[13]=Oe,l[14]=Ce,l[15]=Ne,l[16]=Re,l[17]=Le,l[18]=Pe,0!==c&&(l[19]=c,n.length++),n};function m(e,t,n){return(new g).mulp(e,t,n)}function g(e,t){this.x=e,this.y=t}Math.imul||(p=h),a.prototype.mulTo=function(e,t){var n,r=this.length+e.length;return n=10===this.length&&10===e.length?p(this,e,t):r<63?h(this,e,t):r<1024?function(e,t,n){n.negative=t.negative^e.negative,n.length=e.length+t.length;for(var r=0,i=0,a=0;a<n.length-1;a++){var o=i;i=0;for(var s=67108863&r,l=Math.min(a,t.length-1),c=Math.max(0,a-e.length+1);c<=l;c++){var u=a-c,f=(0|e.words[u])*(0|t.words[c]),d=67108863&f;s=67108863&(d=d+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(d>>>26)|0)>>>26,o&=67108863}n.words[a]=s,r=o,o=i}return 0!==r?n.words[a]=r:n.length--,n.strip()}(this,e,t):m(this,e,t),n},g.prototype.makeRBT=function(e){for(var t=new 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i=8192*Math.round(e[2*r+1]/t)+Math.round(e[2*r]/t)+n;e[r]=67108863&i,n=i<67108864?0:i/67108864|0}return e},g.prototype.convert13b=function(e,t,n,i){for(var a=0,o=0;o<t;o++)a+=0|e[o],n[2*o]=8191&a,a>>>=13,n[2*o+1]=8191&a,a>>>=13;for(o=2*t;o<i;++o)n[o]=0;r(0===a),r(!(-8192&a))},g.prototype.stub=function(e){for(var t=new Array(e),n=0;n<e;n++)t[n]=0;return t},g.prototype.mulp=function(e,t,n){var r=2*this.guessLen13b(e.length,t.length),i=this.makeRBT(r),a=this.stub(r),o=new Array(r),s=new Array(r),l=new Array(r),c=new Array(r),u=new Array(r),f=new Array(r),d=n.words;d.length=r,this.convert13b(e.words,e.length,o,r),this.convert13b(t.words,t.length,c,r),this.transform(o,a,s,l,r,i),this.transform(c,a,u,f,r,i);for(var h=0;h<r;h++){var p=s[h]*u[h]-l[h]*f[h];l[h]=s[h]*f[h]+l[h]*u[h],s[h]=p}return this.conjugate(s,l,r),this.transform(s,l,d,a,r,i),this.conjugate(d,a,r),this.normalize13b(d,r),n.negative=e.negative^t.negative,n.length=e.length+t.length,n.strip()},a.prototype.mul=function(e){var t=new a(null);return t.words=new Array(this.length+e.length),this.mulTo(e,t)},a.prototype.mulf=function(e){var t=new a(null);return t.words=new Array(this.length+e.length),m(this,e,t)},a.prototype.imul=function(e){return this.clone().mulTo(e,this)},a.prototype.imuln=function(e){r("number"==typeof e),r(e<67108864);for(var t=0,n=0;n<this.length;n++){var i=(0|this.words[n])*e,a=(67108863&i)+(67108863&t);t>>=26,t+=i/67108864|0,t+=a>>>26,this.words[n]=67108863&a}return 0!==t&&(this.words[n]=t,this.length++),this},a.prototype.muln=function(e){return this.clone().imuln(e)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(e){var t=function(e){for(var t=new Array(e.bitLength()),n=0;n<t.length;n++){var r=n/26|0,i=n%26;t[n]=(e.words[r]&1<<i)>>>i}return t}(e);if(0===t.length)return new a(1);for(var n=this,r=0;r<t.length&&0===t[r];r++,n=n.sqr());if(++r<t.length)for(var 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f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(e,t,n){return r(0===this.negative),this.iushrn(e,t,n)},a.prototype.shln=function(e){return this.clone().ishln(e)},a.prototype.ushln=function(e){return this.clone().iushln(e)},a.prototype.shrn=function(e){return this.clone().ishrn(e)},a.prototype.ushrn=function(e){return this.clone().iushrn(e)},a.prototype.testn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26,i=1<<t;return!(this.length<=n)&&!!(this.words[n]&i)},a.prototype.imaskn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=n)return this;if(0!==t&&n++,this.length=Math.min(n,this.length),0!==t){var i=67108863^67108863>>>t<<t;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(e){return 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this.clone().iaddn(e)},a.prototype.subn=function(e){return this.clone().isubn(e)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(e,t,n){var i,a,o=e.length+n;this._expand(o);var s=0;for(i=0;i<e.length;i++){a=(0|this.words[i+n])+s;var l=(0|e.words[i])*t;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+n]=67108863&a}for(;i<this.length-n;i++)s=(a=(0|this.words[i+n])+s)>>26,this.words[i+n]=67108863&a;if(0===s)return this.strip();for(r(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(e,t){var n=(this.length,e.length),r=this.clone(),i=e,o=0|i.words[i.length-1];0!==(n=26-this._countBits(o))&&(i=i.ushln(n),r.iushln(n),o=0|i.words[i.length-1]);var s,l=r.length-i.length;if("mod"!==t){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=r.clone()._ishlnsubmul(i,1,l);0===u.negative&&(r=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var d=67108864*(0|r.words[i.length+f])+(0|r.words[i.length+f-1]);for(d=Math.min(d/o|0,67108863),r._ishlnsubmul(i,d,f);0!==r.negative;)d--,r.negative=0,r._ishlnsubmul(i,1,f),r.isZero()||(r.negative^=1);s&&(s.words[f]=d)}return s&&s.strip(),r.strip(),"div"!==t&&0!==n&&r.iushrn(n),{div:s||null,mod:r}},a.prototype.divmod=function(e,t,n){return r(!e.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===e.negative?(s=this.neg().divmod(e,t),"mod"!==t&&(i=s.div.neg()),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.iadd(e)),{div:i,mod:o}):0===this.negative&&0!==e.negative?(s=this.divmod(e.neg(),t),"mod"!==t&&(i=s.div.neg()),{div:i,mod:s.mod}):this.negative&e.negative?(s=this.neg().divmod(e.neg(),t),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.isub(e)),{div:s.div,mod:o}):e.length>this.length||this.cmp(e)<0?{div:new a(0),mod:this}:1===e.length?"div"===t?{div:this.divn(e.words[0]),mod:null}:"mod"===t?{div:null,mod:new a(this.modn(e.words[0]))}:{div:this.divn(e.words[0]),mod:new a(this.modn(e.words[0]))}:this._wordDiv(e,t);var i,o,s},a.prototype.div=function(e){return this.divmod(e,"div",!1).div},a.prototype.mod=function(e){return this.divmod(e,"mod",!1).mod},a.prototype.umod=function(e){return this.divmod(e,"mod",!0).mod},a.prototype.divRound=function(e){var t=this.divmod(e);if(t.mod.isZero())return t.div;var n=0!==t.div.negative?t.mod.isub(e):t.mod,r=e.ushrn(1),i=e.andln(1),a=n.cmp(r);return a<0||1===i&&0===a?t.div:0!==t.div.negative?t.div.isubn(1):t.div.iaddn(1)},a.prototype.modn=function(e){r(e<=67108863);for(var t=(1<<26)%e,n=0,i=this.length-1;i>=0;i--)n=(t*n+(0|this.words[i]))%e;return n},a.prototype.idivn=function(e){r(e<=67108863);for(var t=0,n=this.length-1;n>=0;n--){var i=(0|this.words[n])+67108864*t;this.words[n]=i/e|0,t=i%e}return this.strip()},a.prototype.divn=function(e){return this.clone().idivn(e)},a.prototype.egcd=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;t.isEven()&&n.isEven();)t.iushrn(1),n.iushrn(1),++c;for(var u=n.clone(),f=t.clone();!t.isZero();){for(var d=0,h=1;!(t.words[0]&h)&&d<26;++d,h<<=1);if(d>0)for(t.iushrn(d);d-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;!(n.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(n.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);t.cmp(n)>=0?(t.isub(n),i.isub(s),o.isub(l)):(n.isub(t),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:n.iushln(c)}},a.prototype._invmp=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var i,o=new a(1),s=new a(0),l=n.clone();t.cmpn(1)>0&&n.cmpn(1)>0;){for(var c=0,u=1;!(t.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(t.iushrn(c);c-- 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this._expand(n+1),this.words[n]|=i,this;for(var a=i,o=n;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(e){var t,n=e<0;if(0!==this.negative&&!n)return-1;if(0===this.negative&&n)return 1;if(this.strip(),this.length>1)t=1;else{n&&(e=-e),r(e<=67108863,"Number is too big");var i=0|this.words[0];t=i===e?0:i<e?-1:1}return 0!==this.negative?0|-t:t},a.prototype.cmp=function(e){if(0!==this.negative&&0===e.negative)return-1;if(0===this.negative&&0!==e.negative)return 1;var t=this.ucmp(e);return 0!==this.negative?0|-t:t},a.prototype.ucmp=function(e){if(this.length>e.length)return 1;if(this.length<e.length)return-1;for(var t=0,n=this.length-1;n>=0;n--){var r=0|this.words[n],i=0|e.words[n];if(r!==i){r<i?t=-1:r>i&&(t=1);break}}return t},a.prototype.gtn=function(e){return 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a=t(e,n.key);r.push(n),a<0&&(i=r.length),n=a<0?n.left:n.right}return r.length=i,new u(this,r)},o.lt=function(e){for(var t=this._compare,n=this.root,r=[],i=0;n;){var a=t(e,n.key);r.push(n),a>0&&(i=r.length),n=a<=0?n.left:n.right}return r.length=i,new u(this,r)},o.le=function(e){for(var t=this._compare,n=this.root,r=[],i=0;n;){var a=t(e,n.key);r.push(n),a>=0&&(i=r.length),n=a<0?n.left:n.right}return r.length=i,new u(this,r)},o.find=function(e){for(var t=this._compare,n=this.root,r=[];n;){var i=t(e,n.key);if(r.push(n),0===i)return new u(this,r);n=i<=0?n.left:n.right}return new u(this,[])},o.remove=function(e){var t=this.find(e);return t?t.remove():this},o.get=function(e){for(var t=this._compare,n=this.root;n;){var r=t(e,n.key);if(0===r)return n.value;n=r<=0?n.left:n.right}};var f=u.prototype;function d(e,t){e.key=t.key,e.value=t.value,e.left=t.left,e.right=t.right,e._color=t._color,e._count=t._count}function h(e,t){return e<t?-1:e>t?1:0}Object.defineProperty(f,"valid",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,"node",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new u(this.tree,this._stack.slice())},f.remove=function(){var e=this._stack;if(0===e.length)return this.tree;var o=new Array(e.length),s=e[e.length-1];o[o.length-1]=new t(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=e.length-2;l>=0;--l){(s=e[l]).left===e[l+1]?o[l]=new t(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new t(s._color,s.key,s.value,s.left,o[l+1],s._count)}if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];o.push(new t(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value;for(l=o.length-2;l>=c;--l)s=o[l],o[l]=new t(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop();for(l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){s.left?d(s,s.left):s.right&&d(s,s.right),s._color=1;for(l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var h=o[o.length-2];return function(e){for(var t,a,o,s,l=e.length-1;l>=0;--l){if(t=e[l],0===l)return void(t._color=1);if((a=e[l-1]).left===t){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=n(o)).right=n(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,t._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=e[l-2]).left===a?c.left=o:c.right=o),void(e[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=n(o)).left=n(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,t._color=1,i(a),i(o),i(s),l>1&&((c=e[l-2]).left===a?c.left=s:c.right=s),void(e[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=r(0,o));a.right=r(0,o);continue}o=n(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=e[l-2]).left===a?c.left=o:c.right=o),e[l-1]=o,e[l]=a,l+1<e.length?e[l+1]=t:e.push(t),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=n(o)).left=n(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,t._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=e[l-2]).right===a?c.right=o:c.left=o),void(e[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=n(o)).right=n(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,t._color=1,i(a),i(o),i(s),l>1&&((c=e[l-2]).right===a?c.right=s:c.left=s),void(e[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=r(0,o));a.left=r(0,o);continue}var c;o=n(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=e[l-2]).right===a?c.right=o:c.left=o),e[l-1]=o,e[l]=a,l+1<e.length?e[l+1]=t:e.push(t),l+=2}}}(o),h.left===s?h.left=null:h.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,"index",{get:function(){var e=0,t=this._stack;if(0===t.length){var n=this.tree.root;return n?n._count:0}t[t.length-1].left&&(e=t[t.length-1].left._count);for(var r=t.length-2;r>=0;--r)t[r+1]===t[r].right&&(++e,t[r].left&&(e+=t[r].left._count));return e},enumerable:!0}),f.next=function(){var e=this._stack;if(0!==e.length){var t=e[e.length-1];if(t.right)for(t=t.right;t;)e.push(t),t=t.left;else for(e.pop();e.length>0&&e[e.length-1].right===t;)t=e[e.length-1],e.pop()}},Object.defineProperty(f,"hasNext",{get:function(){var e=this._stack;if(0===e.length)return!1;if(e[e.length-1].right)return!0;for(var t=e.length-1;t>0;--t)if(e[t-1].left===e[t])return!0;return!1}}),f.update=function(e){var n=this._stack;if(0===n.length)throw new Error("Can't update empty node!");var r=new Array(n.length),i=n[n.length-1];r[r.length-1]=new t(i._color,i.key,e,i.left,i.right,i._count);for(var o=n.length-2;o>=0;--o)(i=n[o]).left===n[o+1]?r[o]=new t(i._color,i.key,i.value,r[o+1],i.right,i._count):r[o]=new t(i._color,i.key,i.value,i.left,r[o+1],i._count);return new a(this.tree._compare,r[0])},f.prev=function(){var e=this._stack;if(0!==e.length){var t=e[e.length-1];if(t.left)for(t=t.left;t;)e.push(t),t=t.right;else for(e.pop();e.length>0&&e[e.length-1].left===t;)t=e[e.length-1],e.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var e=this._stack;if(0===e.length)return!1;if(e[e.length-1].left)return!0;for(var t=e.length-1;t>0;--t)if(e[t-1].right===e[t])return!0;return!1}})},3837:function(e,t,n){"use strict";e.exports=function(e,t){var n=new u(e);return n.update(t),n};var r=n(4935),i=n(501),a=n(5304),o=n(6429),s=n(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}function 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f=u.prototype;function d(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(e){function t(t,n,r){if(r in e){var i,a=e[r],o=this[r];(t?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[r]=i=[n(a[0]),n(a[1]),n(a[2])]:this[r]=i=[n(a),n(a),n(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}e=e||{};var n,a=t.bind(this,!1,Number),o=t.bind(this,!1,Boolean),l=t.bind(this,!1,String),c=t.bind(this,!0,(function(e){if(Array.isArray(e)){if(3===e.length)return[+e[0],+e[1],+e[2],1];if(4===e.length)return[+e[0],+e[1],+e[2],+e[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in e)for(var d=e.bounds,h=0;h<2;++h)for(var p=0;p<3;++p)d[h][p]!==this.bounds[h][p]&&(f=!0),this.bounds[h][p]=d[h][p];if("ticks"in e){n=e.ticks,u=!0,this.autoTicks=!1;for(h=0;h<3;++h)this.tickSpacing[h]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in e||"tickSpacing"in 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m=l("labels");l("labelFont")&&(m=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=r(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var h=[new d,new d,new d];function p(e,t,n,r,i){for(var a=e.primalOffset,o=e.primalMinor,s=e.mirrorOffset,l=e.mirrorMinor,c=r[t],u=0;u<3;++u)if(t!==u){var f=a,d=s,h=o,p=l;c&1<<u&&(f=s,d=a,h=l,p=o),f[u]=n[0][u],d[u]=n[1][u],i[u]>0?(h[u]=-1,p[u]=0):(h[u]=0,p[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(e){};var v=[0,0,0],y=[0,0,0],b=[0,0,0];f.draw=function(e){e=e||g;for(var t=this.gl,n=e.model||l,r=e.view||l,i=e.projection||l,a=this.bounds,s=e._ortho||!1,u=o(n,r,i,a,s),f=u.cubeEdges,d=u.axis,x=r[12],_=r[13],A=r[14],w=r[15],k=(s?2:1)*this.pixelRatio*(i[3]*x+i[7]*_+i[11]*A+i[15]*w)/t.drawingBufferHeight,E=0;E<3;++E)this.lastCubeProps.cubeEdges[E]=f[E],this.lastCubeProps.axis[E]=d[E];var T=h;for(E=0;E<3;++E)p(h[E],E,this.bounds,f,d);t=this.gl;var M,S=m;for(E=0;E<3;++E)this.backgroundEnable[E]?S[E]=d[E]:S[E]=0;this._background.draw(n,r,i,a,S,this.backgroundColor),this._lines.bind(n,r,i,this);for(E=0;E<3;++E){var O=[0,0,0];d[E]>0?O[E]=a[1][E]:O[E]=a[0][E];for(var C=0;C<2;++C){var N=(E+1+C)%3,R=(E+1+(1^C))%3;this.gridEnable[N]&&this._lines.drawGrid(N,R,this.bounds,O,this.gridColor[N],this.gridWidth[N]*this.pixelRatio)}for(C=0;C<2;++C){N=(E+1+C)%3,R=(E+1+(1^C))%3;this.zeroEnable[R]&&Math.min(a[0][R],a[1][R])<=0&&Math.max(a[0][R],a[1][R])>=0&&this._lines.drawZero(N,R,this.bounds,O,this.zeroLineColor[R],this.zeroLineWidth[R]*this.pixelRatio)}}for(E=0;E<3;++E){this.lineEnable[E]&&this._lines.drawAxisLine(E,this.bounds,T[E].primalOffset,this.lineColor[E],this.lineWidth[E]*this.pixelRatio),this.lineMirror[E]&&this._lines.drawAxisLine(E,this.bounds,T[E].mirrorOffset,this.lineColor[E],this.lineWidth[E]*this.pixelRatio);var L=c(v,T[E].primalMinor),P=c(y,T[E].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var I=k/n[5*C];L[C]*=D[C]*I,P[C]*=D[C]*I}this.lineTickEnable[E]&&this._lines.drawAxisTicks(E,T[E].primalOffset,L,this.lineTickColor[E],this.lineTickWidth[E]*this.pixelRatio),this.lineTickMirror[E]&&this._lines.drawAxisTicks(E,T[E].mirrorOffset,P,this.lineTickColor[E],this.lineTickWidth[E]*this.pixelRatio)}this._lines.unbind(),this._text.bind(n,r,i,this.pixelRatio);var j,F;function z(e){(F=[0,0,0])[e]=1}function B(e,t,n){var r=(e+1)%3,i=(e+2)%3,a=t[r],o=t[i],s=n[r],l=n[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?z(r):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&z(i)}for(E=0;E<3;++E){var U=T[E].primalMinor,$=T[E].mirrorMinor,H=c(b,T[E].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[E]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/n[5*C]);var q=[0,0,0];if(q[E]=1,this.tickEnable[E]){-3600===this.tickAngle[E]?(this.tickAngle[E]=0,this.tickAlign[E]="auto"):this.tickAlign[E]=-1,j=1,"auto"===(M=[this.tickAlign[E],.5,j])[0]?M[0]=0:M[0]=parseInt(""+M[0]),F=[0,0,0],B(E,U,$);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/n[5*C];this._text.drawTicks(E,this.tickSize[E],this.tickAngle[E],H,this.tickColor[E],q,F,M)}if(this.labelEnable[E]){j=0,F=[0,0,0],this.labels[E].length>4&&(z(E),j=1),"auto"===(M=[this.labelAlign[E],.5,j])[0]?M[0]=0:M[0]=parseInt(""+M[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/n[5*C];H[E]+=.5*(a[0][E]+a[1][E]),this._text.drawLabel(E,this.labelSize[E],this.labelAngle[E],H,this.labelColor[E],[0,0,0],F,M)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(e,t,n){"use strict";e.exports=function(e){for(var t=[],n=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],d=[0,0,0],h=-1;h<=1;h+=2){n.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=h,d[l]=h;for(var p=-1;p<=1;p+=2){f[c]=p;for(var m=-1;m<=1;m+=2)f[u]=m,t.push(f[0],f[1],f[2],d[0],d[1],d[2]),s+=1}var g=c;c=u,u=g}var v=r(e,new Float32Array(t)),y=r(e,new Uint16Array(n),e.ELEMENT_ARRAY_BUFFER),b=i(e,[{buffer:v,type:e.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:e.FLOAT,size:3,offset:12,stride:24}],y),x=a(e);return x.attributes.position.location=0,x.attributes.normal.location=1,new o(e,v,b,x)};var r=n(2762),i=n(8116),a=n(1879).bg;function o(e,t,n,r){this.gl=e,this.buffer=t,this.vao=n,this.shader=r}var s=o.prototype;s.draw=function(e,t,n,r,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:e,view:t,projection:n,bounds:r,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(e,t,n){"use strict";e.exports=function(e,t,n,a,h){i(s,t,e),i(s,n,s);for(var y=0,b=0;b<2;++b){u[2]=a[b][2];for(var x=0;x<2;++x){u[1]=a[x][1];for(var _=0;_<2;++_)u[0]=a[_][0],d(l[y],u,s),y+=1}}var A=-1;for(b=0;b<8;++b){for(var w=l[b][3],k=0;k<3;++k)c[b][k]=l[b][k]/w;h&&(c[b][2]*=-1),w<0&&(A<0||c[b][2]<c[A][2])&&(A=b)}if(A<0){A=0;for(var E=0;E<3;++E){for(var T=(E+2)%3,M=(E+1)%3,S=-1,O=-1,C=0;C<2;++C){var N=(L=C<<E)+(C<<T)+(1-C<<M),R=L+(1-C<<T)+(C<<M);o(c[L],c[N],c[R],f)<0||(C?S=1:O=1)}if(S<0||O<0)O>S&&(A|=1<<E);else{for(C=0;C<2;++C){N=(L=C<<E)+(C<<T)+(1-C<<M),R=L+(1-C<<T)+(C<<M);var 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n=e[0],r=n[0]/n[3],i=n[1]/n[3],o=0;for(t=1;t+1<e.length;++t){var s=e[t],l=e[t+1],c=s[0]/s[3]-r,u=s[1]/s[3]-i,f=l[0]/l[3]-r,d=l[1]/l[3]-i;o+=Math.abs(c*d-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},501:function(e,t,n){"use strict";e.exports=function(e,t,n){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var d=o.length/3|0,p=0;p<n[f].length;++p){var m=+n[f][p].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=d,l[f]=g-d;d=o.length/3|0;for(var v=0;v<n[f].length;++v){m=+n[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=d,u[f]=g-d}var y=r(e,new Float32Array(o)),b=i(e,[{buffer:y,type:e.FLOAT,size:3,stride:0,offset:0}]),x=a(e);return x.attributes.position.location=0,new h(e,y,b,x,l,s,u,c)};var r=n(2762),i=n(8116),a=n(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(e){return e[0]=e[1]=e[2]=0,e}function d(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}function h(e,t,n,r,i,a,o,s){this.gl=e,this.vertBuffer=t,this.vao=n,this.shader=r,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var p=h.prototype;p.bind=function(e,t,n){this.shader.bind(),this.shader.uniforms.model=e,this.shader.uniforms.view=t,this.shader.uniforms.projection=n,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},p.unbind=function(){this.vao.unbind()},p.drawAxisLine=function(e,t,n,r,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[e]=t[1][e]-t[0][e],this.shader.uniforms.minorAxis=a;var o,u=d(c,n);u[e]+=t[0][e],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=r,(o=f(l))[(e+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(e+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},p.drawAxisTicks=function(e,t,n,r,i){if(this.tickCount[e]){var a=f(o);a[e]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=t,this.shader.uniforms.minorAxis=n,this.shader.uniforms.color=r,this.shader.uniforms.lineWidth=i;var s=f(l);s[e]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[e],this.tickOffset[e])}},p.drawGrid=function(e,t,n,r,i,a){if(this.gridCount[e]){var u=f(s);u[t]=n[1][t]-n[0][t],this.shader.uniforms.minorAxis=u;var h=d(c,r);h[t]+=n[0][t],this.shader.uniforms.offset=h;var p=f(o);p[e]=1,this.shader.uniforms.majorAxis=p;var m=f(l);m[e]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[e],this.gridOffset[e])}},p.drawZero=function(e,t,n,r,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[e]=n[1][e]-n[0][e],this.shader.uniforms.minorAxis=o;var u=d(c,r);u[e]+=n[0][e],this.shader.uniforms.offset=u;var h=f(l);h[t]=1,this.shader.uniforms.screenAxis=h,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},p.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(e,t,n){"use strict";var r=n(3236),i=n(9405),a=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=r(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);t.n=function(e){return i(e,a,o,null,[{name:"position",type:"vec3"}])};var s=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=r(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);t.Q=function(e){return i(e,s,l,null,[{name:"position",type:"vec3"}])};var c=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=r(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);t.bg=function(e){return i(e,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},4935:function(e,t,n){"use strict";e.exports=function(e,t,n,a,s,l){var u=r(e),f=i(e,[{buffer:u,size:3}]),d=o(e);d.attributes.position.location=0;var h=new c(e,d,u,f);return h.update(t,n,a,s,l),h};var r=n(2762),i=n(8116),a=n(4359),o=n(1879).Q,s=window||process.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(e,t,n,r){this.gl=e,this.shader=t,this.buffer=n,this.vao=r,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(e,t,n,r){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=e,i.view=t,i.projection=n,i.pixelScale=r,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(e,t,n,r,i){var o=[];function s(e,t,n,r,i,s){var c=l[n];c||(c=l[n]={});var u=c[t];u||(u=c[t]=function(e,t){try{return a(e,t)}catch(t){return console.warn('error vectorizing text:"'+e+'" error:',t),{cells:[],positions:[]}}}(t,{triangles:!0,font:n,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(r||12)/12,d=u.positions,h=u.cells,p=0,m=h.length;p<m;++p)for(var g=h[p],v=2;v>=0;--v){var y=d[g[v]];o.push(f*y[0],-f*y[1],e)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],d=[0,0,0],h={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},p=0;p<3;++p){f[p]=o.length/3|0,s(.5*(e[0][p]+e[1][p]),t[p],n[p],12,1.25,h),d[p]=(o.length/3|0)-f[p],c[p]=o.length/3|0;for(var m=0;m<r[p].length;++m)r[p][m].text&&s(r[p][m].x,r[p][m].text,r[p][m].font||i,r[p][m].fontSize||12,1.25,h);u[p]=(o.length/3|0)-c[p]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=d},u.drawTicks=function(e,t,n,r,i,a,o,s){this.tickCount[e]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=n,this.shader.uniforms.scale=t,this.shader.uniforms.offset=r,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[e],this.tickOffset[e]))},u.drawLabel=function(e,t,n,r,i,a,o,s){this.labelCount[e]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=n,this.shader.uniforms.scale=t,this.shader.uniforms.offset=r,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[e],this.labelOffset[e]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(e,t){"use strict";function n(e,t){var n=e+"",r=n.indexOf("."),i=0;r>=0&&(i=n.length-r-1);var a=Math.pow(10,i),o=Math.round(e*t*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}t.create=function(e,t){for(var r=[],i=0;i<3;++i){for(var a=[],o=(e[0][i],e[1][i],0);o*t[i]<=e[1][i];++o)a.push({x:o*t[i],text:n(t[i],o)});for(o=-1;o*t[i]>=e[0][i];--o)a.push({x:o*t[i],text:n(t[i],o)});r.push(a)}return r},t.equal=function(e,t){for(var n=0;n<3;++n){if(e[n].length!==t[n].length)return!1;for(var r=0;r<e[n].length;++r){var i=e[n][r],a=t[n][r];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(e,t,n){"use strict";e.exports=function(e,t,n,l,f){var d=t.model||c,h=t.view||c,v=t.projection||c,y=t._ortho||!1,b=e.bounds,x=(f=f||a(d,h,v,b,y)).axis;o(u,h,d),o(u,v,u);for(var _=m,A=0;A<3;++A)_[A].lo=1/0,_[A].hi=-1/0,_[A].pixelsPerDataUnit=1/0;var w=r(s(u,u));s(u,u);for(var k=0;k<3;++k){var E=(k+1)%3,T=(k+2)%3,M=g;e:for(A=0;A<2;++A){var S=[];if(x[k]<0!=!!A){M[k]=b[A][k];for(var O=0;O<2;++O){M[E]=b[O^A][E];for(var C=0;C<2;++C)M[T]=b[C^O^A][T],S.push(M.slice())}var N=y?5:4;for(O=N;O===N;++O){if(0===S.length)continue e;S=i.positive(S,w[O])}for(O=0;O<S.length;++O){T=S[O];var R=p(g,u,T,n,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,T[C]),_[C].hi=Math.max(_[C].hi,T[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(R[C])))}}}}return _};var r=n(5033),i=n(5202),a=n(6429),o=n(6760),s=n(5665),l=n(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(e,t,n){this.lo=e,this.hi=t,this.pixelsPerDataUnit=n}var d=[0,0,0,1],h=[0,0,0,1];function p(e,t,n,r,i){for(var a=0;a<3;++a){for(var o=d,s=h,c=0;c<3;++c)s[c]=o[c]=n[c];s[3]=o[3]=1,s[a]+=1,l(s,s,t),s[3]<0&&(e[a]=1/0),o[a]-=1,l(o,o,t),o[3]<0&&(e[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*r,f=(o[1]/o[3]-s[1]/s[3])*i;e[a]=.25*Math.sqrt(u*u+f*f)}return e}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(e,t,n){"use strict";var r=n(1888),i=n(5298),a=n(9618),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(e,t,n,r,i){this.gl=e,this.type=t,this.handle=n,this.length=r,this.usage=i}var l=s.prototype;function c(e,t,n,r,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return e.bufferData(t,i,r),o;if(o+a>n)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return e.bufferSubData(t,a,i),n}function u(e,t){for(var n=r.malloc(e.length,t),i=e.length,a=0;a<i;++a)n[a]=e[a];return n}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(e,t){if("number"!=typeof t&&(t=-1),this.bind(),"object"==typeof e&&void 0!==e.shape){var n=e.dtype;if(o.indexOf(n)<0&&(n="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)n=gl.getExtension("OES_element_index_uint")&&"uint16"!==n?"uint32":"uint16";if(n===e.dtype&&function(e,t){for(var n=1,r=t.length-1;r>=0;--r){if(t[r]!==n)return!1;n*=e[r]}return!0}(e.shape,e.stride))0===e.offset&&e.data.length===e.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,e.data,t):this.length=c(this.gl,this.type,this.length,this.usage,e.data.subarray(e.offset,e.shape[0]),t);else{var s=r.malloc(e.size,n),l=a(s,e.shape);i.assign(l,e),this.length=c(this.gl,this.type,this.length,this.usage,t<0?s:s.subarray(0,e.size),t),r.free(s)}}else if(Array.isArray(e)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(e,"uint16"):u(e,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,t<0?f:f.subarray(0,e.length),t),r.free(f)}else if("object"==typeof e&&"number"==typeof e.length)this.length=c(this.gl,this.type,this.length,this.usage,e,t);else{if("number"!=typeof e&&void 0!==e)throw new Error("gl-buffer: Invalid data type");if(t>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(e|=0)<=0&&(e=1),this.gl.bufferData(this.type,0|e,this.usage),this.length=e}},e.exports=function(e,t,n,r){if(n=n||e.ARRAY_BUFFER,r=r||e.DYNAMIC_DRAW,n!==e.ARRAY_BUFFER&&n!==e.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(r!==e.DYNAMIC_DRAW&&r!==e.STATIC_DRAW&&r!==e.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=e.createBuffer(),a=new s(e,n,i,0,r);return a.update(t),a}},6405:function(e,t,n){"use strict";var r=n(2931);e.exports=function(e,t){var n=e.positions,i=e.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:e.vertexIntensityBounds,vectors:[],cells:[],coneOffset:e.coneOffset,colormap:e.colormap};if(0===e.positions.length)return t&&(t[0]=[0,0,0],t[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,d=-1/0,h=null,p=null,m=[],g=1/0,v=!1,y="raw"===e.coneSizemode,b=0;b<n.length;b++){var x=n[b];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),d=Math.max(x[2],d);var _=i[b];if(r.length(_)>o&&(o=r.length(_)),b&&!y){var A=2*r.distance(h,x)/(r.length(p)+r.length(_));A?(g=Math.min(g,A),v=!1):v=!0}v||(h=x,p=_),m.push(_)}var w=[s,c,f],k=[l,u,d];t&&(t[0]=w,t[1]=k),0===o&&(o=1);var E=1/o;isFinite(g)||(g=1),a.vectorScale=g;var T=e.coneSize||(y?1:.5);e.absoluteConeSize&&(T=e.absoluteConeSize*E),a.coneScale=T;b=0;for(var M=0;b<n.length;b++)for(var S=(x=n[b])[0],O=x[1],C=x[2],N=m[b],R=r.length(N)*E,L=0;L<8;L++){a.positions.push([S,O,C,M++]),a.positions.push([S,O,C,M++]),a.positions.push([S,O,C,M++]),a.positions.push([S,O,C,M++]),a.positions.push([S,O,C,M++]),a.positions.push([S,O,C,M++]),a.vectors.push(N),a.vectors.push(N),a.vectors.push(N),a.vectors.push(N),a.vectors.push(N),a.vectors.push(N),a.vertexIntensity.push(R,R,R),a.vertexIntensity.push(R,R,R);var P=a.positions.length;a.cells.push([P-6,P-5,P-4],[P-3,P-2,P-1])}return a};var i=n(614);e.exports.createMesh=n(9060),e.exports.createConeMesh=function(t,n){return e.exports.createMesh(t,n,{shaders:i,traceType:"cone"})}},9060:function(e,t,n){"use strict";var r=n(9405),i=n(2762),a=n(8116),o=n(7766),s=n(6760),l=n(7608),c=n(9618),u=n(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(e,t,n,r,i,a,o,s,l,c,u){this.gl=e,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=t,this.dirty=!0,this.triShader=n,this.pickShader=r,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var h=d.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.pickSlots=1,h.setPickBase=function(e){this.pickId=e},h.update=function(e){e=e||{};var t=this.gl;this.dirty=!0,"lightPosition"in e&&(this.lightPosition=e.lightPosition),"opacity"in e&&(this.opacity=e.opacity),"ambient"in e&&(this.ambientLight=e.ambient),"diffuse"in e&&(this.diffuseLight=e.diffuse),"specular"in e&&(this.specularLight=e.specular),"roughness"in e&&(this.roughness=e.roughness),"fresnel"in e&&(this.fresnel=e.fresnel),void 0!==e.tubeScale&&(this.tubeScale=e.tubeScale),void 0!==e.vectorScale&&(this.vectorScale=e.vectorScale),void 0!==e.coneScale&&(this.coneScale=e.coneScale),void 0!==e.coneOffset&&(this.coneOffset=e.coneOffset),e.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=t.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=t.LINEAR,this.texture.setPixels(function(e){for(var t=u({colormap:e,nshades:256,format:"rgba"}),n=new Uint8Array(1024),r=0;r<256;++r){for(var i=t[r],a=0;a<3;++a)n[4*r+a]=i[a];n[4*r+3]=255*i[3]}return c(n,[256,256,4],[4,0,1])}(e.colormap)),this.texture.generateMipmap());var n=e.cells,r=e.positions,i=e.vectors;if(r&&n&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=n,this.positions=r,this.vectors=i;var d=e.meshColor||[1,1,1,1],h=e.vertexIntensity,p=1/0,m=-1/0;if(h)if(e.vertexIntensityBounds)p=+e.vertexIntensityBounds[0],m=+e.vertexIntensityBounds[1];else for(var g=0;g<h.length;++g){var v=h[g];p=Math.min(p,v),m=Math.max(m,v)}else for(g=0;g<r.length;++g){v=r[g][2];p=Math.min(p,v),m=Math.max(m,v)}this.intensity=h||function(e){for(var t=e.length,n=new Array(t),r=0;r<t;++r)n[r]=e[r][2];return n}(r),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<r.length;++g)for(var y=r[g],b=0;b<3;++b)!isNaN(y[b])&&isFinite(y[b])&&(this.bounds[0][b]=Math.min(this.bounds[0][b],y[b]),this.bounds[1][b]=Math.max(this.bounds[1][b],y[b]));var x=0;e:for(g=0;g<n.length;++g){var _=n[g];if(3===_.length){for(b=0;b<3;++b){y=r[w=_[b]];for(var A=0;A<3;++A)if(isNaN(y[A])||!isFinite(y[A]))continue e}for(b=0;b<3;++b){var w;y=r[w=_[2-b]];a.push(y[0],y[1],y[2],y[3]);var k=i[w];o.push(k[0],k[1],k[2],k[3]||0);var E,T=d;3===T.length?s.push(T[0],T[1],T[2],1):s.push(T[0],T[1],T[2],T[3]),E=h?[(h[w]-p)/(m-p),0]:[(y[2]-p)/(m-p),0],l.push(E[0],E[1]),f.push(g)}x+=1}}this.triangleCount=x,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},h.drawTransparent=h.draw=function(e){e=e||{};for(var t=this.gl,n=e.model||f,r=e.view||f,i=e.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:n,view:r,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),t.disable(t.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var d=u[15];for(o=0;o<3;++o)d+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var h=u[12+o],p=0;p<3;++p)h+=u[4*p+o]*this.lightPosition[p];c.lightPosition[o]=h/d}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),t.drawArrays(t.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},h.drawPick=function(e){e=e||{};for(var t=this.gl,n=e.model||f,r=e.view||f,i=e.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(n),this._view=[].slice.call(r),this._projection=[].slice.call(i),this._resolution=[t.drawingBufferWidth,t.drawingBufferHeight];var s={model:n,view:r,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),t.drawArrays(t.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},h.pick=function(e){if(!e)return null;if(e.id!==this.pickId)return null;var t=e.value[0]+256*e.value[1]+65536*e.value[2],n=this.cells[t],r=this.positions[n[1]].slice(0,3),i={position:r,dataCoordinate:r,index:Math.floor(n[1]/48)};return"cone"===this.traceType?i.index=Math.floor(n[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[n[1]],i.velocity=this.vectors[n[1]].slice(0,3),i.divergence=this.vectors[n[1]][3],i.index=t),i},h.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(e,t,n){var s=n.shaders;1===arguments.length&&(e=(t=e).gl);var l=function(e,t){var n=r(e,t.meshShader.vertex,t.meshShader.fragment,null,t.meshShader.attributes);return n.attributes.position.location=0,n.attributes.color.location=2,n.attributes.uv.location=3,n.attributes.vector.location=4,n}(e,s),u=function(e,t){var n=r(e,t.pickShader.vertex,t.pickShader.fragment,null,t.pickShader.attributes);return n.attributes.position.location=0,n.attributes.id.location=1,n.attributes.vector.location=4,n}(e,s),f=o(e,c(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=e.LINEAR_MIPMAP_LINEAR,f.magFilter=e.LINEAR;var h=i(e),p=i(e),m=i(e),g=i(e),v=i(e),y=new d(e,f,l,u,h,p,v,m,g,a(e,[{buffer:h,type:e.FLOAT,size:4},{buffer:v,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:e.FLOAT,size:4},{buffer:g,type:e.FLOAT,size:2},{buffer:p,type:e.FLOAT,size:4}]),n.traceType||"cone");return y.update(t),y}},614:function(e,t,n){var r=n(3236),i=r(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=r(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=r(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);t.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},t.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},737:function(e){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},5171:function(e,t,n){var r=n(737);e.exports=function(e){return r[e]}},9165:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t),o=i(t,[{buffer:n,type:t.FLOAT,size:3,offset:0,stride:40},{buffer:n,type:t.FLOAT,size:4,offset:12,stride:40},{buffer:n,type:t.FLOAT,size:3,offset:28,stride:40}]),l=a(t);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(t,n,o,l);return c.update(e),c};var r=n(2762),i=n(8116),a=n(3436),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(e,t,n,r){this.gl=e,this.shader=r,this.buffer=t,this.vao=n,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(e,t){for(var n=0;n<3;++n)e[0][n]=Math.min(e[0][n],t[n]),e[1][n]=Math.max(e[1][n],t[n])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(e){var t=this.gl,n=this.shader.uniforms;this.shader.bind();var r=n.view=e.view||o,i=n.projection=e.projection||o;n.model=e.model||o,n.clipBounds=this.clipBounds,n.opacity=this.opacity;var a=r[12],s=r[13],l=r[14],c=r[15],u=(e._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/t.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)t.lineWidth(this.lineWidth[f]*this.pixelRatio),n.capSize=this.capSize[f]*u,this.lineCount[f]&&t.drawArrays(t.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var e=new Array(3),t=0;t<3;++t){for(var n=[],r=1;r<=2;++r)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(r+t)%3]=i,n.push(a)}e[t]=n}return e}();function f(e,t,n,r){for(var i=u[r],a=0;a<i.length;++a){var o=i[a];e.push(t[0],t[1],t[2],n[0],n[1],n[2],n[3],o[0],o[1],o[2])}return i.length}l.update=function(e){"lineWidth"in(e=e||{})&&(this.lineWidth=e.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in e&&(this.capSize=e.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in e&&(this.opacity=+e.opacity,this.opacity<1&&(this.hasAlpha=!0));var t=e.color||[[0,0,0],[0,0,0],[0,0,0]],n=e.position,r=e.error;if(Array.isArray(t[0])||(t=[t,t,t]),n&&r){var i=[],a=n.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;e:for(var l=0;l<a;++l){for(var u=n[l],d=0;d<3;++d)if(isNaN(u[d])||!isFinite(u[d]))continue e;var h=r[l],p=t[s];if(Array.isArray(p[0])&&(p=t[l]),3===p.length?p=[p[0],p[1],p[2],1]:4===p.length&&(p=[p[0],p[1],p[2],p[3]],!this.hasAlpha&&p[3]<1&&(this.hasAlpha=!0)),!isNaN(h[0][s])&&!isNaN(h[1][s])){var m;if(h[0][s]<0)(m=u.slice())[s]+=h[0][s],i.push(u[0],u[1],u[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,p,s);if(h[1][s]>0)(m=u.slice())[s]+=h[1][s],i.push(u[0],u[1],u[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,p,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},3436:function(e,t,n){"use strict";var r=n(3236),i=n(9405),a=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(e){return i(e,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},2260:function(e,t,n){"use strict";var r=n(7766);e.exports=function(e,t,n,r){i||(i=e.FRAMEBUFFER_UNSUPPORTED,a=e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=e.getExtension("WEBGL_draw_buffers");!l&&c&&function(e,t){var n=e.getParameter(t.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(n+1);for(var r=0;r<=n;++r){for(var i=new Array(n),a=0;a<r;++a)i[a]=e.COLOR_ATTACHMENT0+a;for(a=r;a<n;++a)i[a]=e.NONE;l[r]=i}}(e,c);Array.isArray(t)&&(r=n,n=0|t[1],t=0|t[0]);if("number"!=typeof t)throw new Error("gl-fbo: Missing shape parameter");var u=e.getParameter(e.MAX_RENDERBUFFER_SIZE);if(t<0||t>u||n<0||n>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(r=r||{})){if((f=Math.max(0|r.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>e.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var d=e.UNSIGNED_BYTE,h=e.getExtension("OES_texture_float");if(r.float&&f>0){if(!h)throw new Error("gl-fbo: Context does not support floating point textures");d=e.FLOAT}else r.preferFloat&&f>0&&h&&(d=e.FLOAT);var m=!0;"depth"in r&&(m=!!r.depth);var g=!1;"stencil"in r&&(g=!!r.stencil);return new p(e,t,n,d,f,m,g,c)};var i,a,o,s,l=null;function c(e){return[e.getParameter(e.FRAMEBUFFER_BINDING),e.getParameter(e.RENDERBUFFER_BINDING),e.getParameter(e.TEXTURE_BINDING_2D)]}function u(e,t){e.bindFramebuffer(e.FRAMEBUFFER,t[0]),e.bindRenderbuffer(e.RENDERBUFFER,t[1]),e.bindTexture(e.TEXTURE_2D,t[2])}function f(e){switch(e){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function d(e,t,n,i,a,o){if(!i)return null;var s=r(e,t,n,a,i);return s.magFilter=e.NEAREST,s.minFilter=e.NEAREST,s.mipSamples=1,s.bind(),e.framebufferTexture2D(e.FRAMEBUFFER,o,e.TEXTURE_2D,s.handle,0),s}function h(e,t,n,r,i){var a=e.createRenderbuffer();return e.bindRenderbuffer(e.RENDERBUFFER,a),e.renderbufferStorage(e.RENDERBUFFER,r,t,n),e.framebufferRenderbuffer(e.FRAMEBUFFER,i,e.RENDERBUFFER,a),a}function p(e,t,n,r,i,a,o,s){this.gl=e,this._shape=[0|t,0|n],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var p=0;p<i;++p)this.color[p]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=r,this._useDepth=a,this._useStencil=o;var m=this,g=[0|t,0|n];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(e){return m.width=e}},1:{get:function(){return m._shape[1]},set:function(e){return m.height=e}}}),this._shapeVector=g,function(e){var t=c(e.gl),n=e.gl,r=e.handle=n.createFramebuffer(),i=e._shape[0],a=e._shape[1],o=e.color.length,s=e._ext,p=e._useStencil,m=e._useDepth,g=e._colorType;n.bindFramebuffer(n.FRAMEBUFFER,r);for(var v=0;v<o;++v)e.color[v]=d(n,i,a,g,n.RGBA,n.COLOR_ATTACHMENT0+v);0===o?(e._color_rb=h(n,i,a,n.RGBA4,n.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=n.getExtension("WEBGL_depth_texture");y?p?e.depth=d(n,i,a,y.UNSIGNED_INT_24_8_WEBGL,n.DEPTH_STENCIL,n.DEPTH_STENCIL_ATTACHMENT):m&&(e.depth=d(n,i,a,n.UNSIGNED_SHORT,n.DEPTH_COMPONENT,n.DEPTH_ATTACHMENT)):m&&p?e._depth_rb=h(n,i,a,n.DEPTH_STENCIL,n.DEPTH_STENCIL_ATTACHMENT):m?e._depth_rb=h(n,i,a,n.DEPTH_COMPONENT16,n.DEPTH_ATTACHMENT):p&&(e._depth_rb=h(n,i,a,n.STENCIL_INDEX,n.STENCIL_ATTACHMENT));var b=n.checkFramebufferStatus(n.FRAMEBUFFER);if(b!==n.FRAMEBUFFER_COMPLETE){for(e._destroyed=!0,n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteFramebuffer(e.handle),e.handle=null,e.depth&&(e.depth.dispose(),e.depth=null),e._depth_rb&&(n.deleteRenderbuffer(e._depth_rb),e._depth_rb=null),v=0;v<e.color.length;++v)e.color[v].dispose(),e.color[v]=null;e._color_rb&&(n.deleteRenderbuffer(e._color_rb),e._color_rb=null),u(n,t),f(b)}u(n,t)}(this)}var m=p.prototype;function g(e,t,n){if(e._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(e._shape[0]!==t||e._shape[1]!==n){var r=e.gl,i=r.getParameter(r.MAX_RENDERBUFFER_SIZE);if(t<0||t>i||n<0||n>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");e._shape[0]=t,e._shape[1]=n;for(var a=c(r),o=0;o<e.color.length;++o)e.color[o].shape=e._shape;e._color_rb&&(r.bindRenderbuffer(r.RENDERBUFFER,e._color_rb),r.renderbufferStorage(r.RENDERBUFFER,r.RGBA4,e._shape[0],e._shape[1])),e.depth&&(e.depth.shape=e._shape),e._depth_rb&&(r.bindRenderbuffer(r.RENDERBUFFER,e._depth_rb),e._useDepth&&e._useStencil?r.renderbufferStorage(r.RENDERBUFFER,r.DEPTH_STENCIL,e._shape[0],e._shape[1]):e._useDepth?r.renderbufferStorage(r.RENDERBUFFER,r.DEPTH_COMPONENT16,e._shape[0],e._shape[1]):e._useStencil&&r.renderbufferStorage(r.RENDERBUFFER,r.STENCIL_INDEX,e._shape[0],e._shape[1])),r.bindFramebuffer(r.FRAMEBUFFER,e.handle);var s=r.checkFramebufferStatus(r.FRAMEBUFFER);s!==r.FRAMEBUFFER_COMPLETE&&(e.dispose(),u(r,a),f(s)),u(r,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(e){if(Array.isArray(e)||(e=[0|e,0|e]),2!==e.length)throw new Error("gl-fbo: Shape vector must be length 2");var t=0|e[0],n=0|e[1];return g(this,t,n),[t,n]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(e){return g(this,e|=0,this._shape[1]),e},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(e){return e|=0,g(this,this._shape[0],e),e},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,this.handle),e.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var e=this.gl;e.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(e.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var t=0;t<this.color.length;++t)this.color[t].dispose(),this.color[t]=null;this._color_rb&&(e.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(e,t,n){var r=n(3387).sprintf,i=n(5171),a=n(1848),o=n(1085);e.exports=function(e,t,n){"use strict";var s=a(t)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==n&&(l=n===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=r("Error compiling %s shader %s:\n",l,s),u=r("%s%s",c,e),f=e.split("\n"),d={},h=0;h<f.length;h++){var p=f[h];if(""!==p&&"\0"!==p){var m=parseInt(p.split(":")[2]);if(isNaN(m))throw new Error(r("Could not parse error: %s",p));d[m]=p}}var g=o(t).split("\n");for(h=0;h<g.length;h++){if(d[h+3]||d[h+2]||d[h+1])if(c+=g[h]+"\n",d[h+1]){var v=d[h+1];v=v.substr(v.split(":",3).join(":").length+1).trim(),c+=r("^^^ %s\n\n",v)}}return{long:c.trim(),short:u.trim()}}},2510:function(e,t,n){"use strict";e.exports=function(e,t){var n=e.gl,r=o(n,l.vertex,l.fragment),i=o(n,l.pickVertex,l.pickFragment),a=s(n),u=s(n),f=s(n),d=s(n),h=new c(e,r,i,a,u,f,d);return h.update(t),e.addObject(h),h};var r=n(2478),i=n(7762),a=n(1888),o=n(9405),s=n(2762),l=n(6768);function c(e,t,n,r,i,a,o){this.plot=e,this.shader=t,this.pickShader=n,this.positionBuffer=r,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,d=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var e=this.plot,t=this.shader,n=this.bounds,r=this.numVertices;if(!(r<=0)){var i=e.gl,a=e.dataBox,o=n[2]-n[0],s=n[3]-n[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(n[0]-a[0])/l-1,u[7]=2*(n[1]-a[1])/c-1,t.bind();var f=t.uniforms;f.viewTransform=u,f.shape=this.shape;var d=t.attributes;this.positionBuffer.bind(),d.position.pointer(),this.weightBuffer.bind(),d.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),d.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,r)}}),f.drawPick=function(){var e=[1,0,0,0,1,0,0,0,1],t=[0,0,0,0];return function(n){var r=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=r.gl,l=r.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],d=l[3]-l[1];e[0]=2*c/f,e[4]=2*u/d,e[6]=2*(a[0]-l[0])/f-1,e[7]=2*(a[1]-l[1])/d-1;for(var h=0;h<4;++h)t[h]=n>>8*h&255;this.pickOffset=n,i.bind();var p=i.uniforms;p.viewTransform=e,p.pickOffset=t,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),n+this.shape[0]*this.shape[1]}}}(),f.pick=function(e,t,n){var r=this.pickOffset,i=this.shape[0]*this.shape[1];if(n<r||n>=r+i)return null;var a=n-r,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(e){var t=(e=e||{}).shape||[0,0],n=e.x||i(t[0]),o=e.y||i(t[1]),s=e.z||new Float32Array(t[0]*t[1]),l=!1!==e.zsmooth;this.xData=n,this.yData=o;var c,u,f,h,p=e.colorLevels||[0],m=e.colorValues||[0,0,0,1],g=p.length,v=this.bounds;l?(c=v[0]=n[0],u=v[1]=o[0],f=v[2]=n[n.length-1],h=v[3]=o[o.length-1]):(c=v[0]=n[0]+(n[1]-n[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=n[n.length-1]+(n[n.length-1]-n[n.length-2])/2,h=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),b=1/(h-u),x=t[0],_=t[1];this.shape=[x,_];var A=(l?(x-1)*(_-1):x*_)*(d.length>>>1);this.numVertices=A;for(var w=a.mallocUint8(4*A),k=a.mallocFloat32(2*A),E=a.mallocUint8(2*A),T=a.mallocUint32(A),M=0,S=l?x-1:x,O=l?_-1:_,C=0;C<O;++C){var N,R;l?(N=b*(o[C]-u),R=b*(o[C+1]-u)):(N=C<_-1?b*(o[C]-(o[C+1]-o[C])/2-u):b*(o[C]-(o[C]-o[C-1])/2-u),R=C<_-1?b*(o[C]+(o[C+1]-o[C])/2-u):b*(o[C]+(o[C]-o[C-1])/2-u));for(var L=0;L<S;++L){var P,D;l?(P=y*(n[L]-c),D=y*(n[L+1]-c)):(P=L<x-1?y*(n[L]-(n[L+1]-n[L])/2-c):y*(n[L]-(n[L]-n[L-1])/2-c),D=L<x-1?y*(n[L]+(n[L+1]-n[L])/2-c):y*(n[L]+(n[L]-n[L-1])/2-c));for(var I=0;I<d.length;I+=2){var j,F,z,B,U=d[I],$=d[I+1],H=s[l?(C+$)*x+(L+U):C*x+L],q=r.le(p,H);if(q<0)j=m[0],F=m[1],z=m[2],B=m[3];else if(q===g-1)j=m[4*g-4],F=m[4*g-3],z=m[4*g-2],B=m[4*g-1];else{var V=(H-p[q])/(p[q+1]-p[q]),W=1-V,G=4*q,Y=4*(q+1);j=W*m[G]+V*m[Y],F=W*m[G+1]+V*m[Y+1],z=W*m[G+2]+V*m[Y+2],B=W*m[G+3]+V*m[Y+3]}w[4*M]=255*j,w[4*M+1]=255*F,w[4*M+2]=255*z,w[4*M+3]=255*B,k[2*M]=.5*P+.5*D,k[2*M+1]=.5*N+.5*R,E[2*M]=U,E[2*M+1]=$,T[M]=C*x+L,M+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(E),this.colorBuffer.update(w),this.idBuffer.update(T),a.free(k),a.free(w),a.free(E),a.free(T)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(e,t,n){"use strict";var r=n(3236);e.exports={fragment:r(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:r(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},7319:function(e,t,n){var r=n(3236),i=n(9405),a=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=r(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];t.createShader=function(e){return i(e,a,o,null,l)},t.createPickShader=function(e){return i(e,a,s,null,l)}},5714:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl||e.scene&&e.scene.gl,n=f(t);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;var o=d(t);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=r(t),l=i(t,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),h=0;h<1024;++h)u.data[h]=255;var p=a(t,u);p.wrap=t.REPEAT;var m=new v(t,n,o,s,l,p);return m.update(e),m};var r=n(2762),i=n(8116),a=n(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=n(2478),c=n(9618),u=n(7319),f=u.createShader,d=u.createPickShader,h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(e,t){for(var n=0,r=0;r<3;++r){var i=e[r]-t[r];n+=i*i}return Math.sqrt(n)}function m(e){for(var t=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],n=0;n<3;++n)t[0][n]=Math.max(e[0][n],t[0][n]),t[1][n]=Math.min(e[1][n],t[1][n]);return t}function g(e,t,n,r){this.arcLength=e,this.position=t,this.index=n,this.dataCoordinate=r}function v(e,t,n,r,i,a){this.gl=e,this.shader=t,this.pickShader=n,this.buffer=r,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(e){this.pickId=e},y.drawTransparent=y.draw=function(e){if(this.vertexCount){var t=this.gl,n=this.shader,r=this.vao;n.bind(),n.uniforms={model:e.model||h,view:e.view||h,projection:e.projection||h,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[t.drawingBufferWidth,t.drawingBufferHeight],pixelRatio:this.pixelRatio},r.bind(),r.draw(t.TRIANGLE_STRIP,this.vertexCount),r.unbind()}},y.drawPick=function(e){if(this.vertexCount){var t=this.gl,n=this.pickShader,r=this.vao;n.bind(),n.uniforms={model:e.model||h,view:e.view||h,projection:e.projection||h,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[t.drawingBufferWidth,t.drawingBufferHeight],pixelRatio:this.pixelRatio},r.bind(),r.draw(t.TRIANGLE_STRIP,this.vertexCount),r.unbind()}},y.update=function(e){var t,n;this.dirty=!0;var r=!!e.connectGaps;"dashScale"in e&&(this.dashScale=e.dashScale),this.hasAlpha=!1,"opacity"in e&&(this.opacity=+e.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],d=e.position||e.positions;if(d){var h=e.color||e.colors||[0,0,0,1],m=e.lineWidth||1,g=!1;e:for(t=1;t<d.length;++t){var v,y,b,x=d[t-1],_=d[t];for(a.push(s),o.push(x.slice()),n=0;n<3;++n){if(isNaN(x[n])||isNaN(_[n])||!isFinite(x[n])||!isFinite(_[n])){if(!r&&i.length>0){for(var A=0;A<24;++A)i.push(i[i.length-12]);u+=2,g=!0}continue e}f[0][n]=Math.min(f[0][n],x[n],_[n]),f[1][n]=Math.max(f[1][n],x[n],_[n])}Array.isArray(h[0])?(v=h.length>t-1?h[t-1]:h.length>0?h[h.length-1]:[0,0,0,1],y=h.length>t?h[t]:h.length>0?h[h.length-1]:[0,0,0,1]):v=y=h,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),b=Array.isArray(m)?m.length>t-1?m[t-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var w=s;if(s+=p(x,_),g){for(n=0;n<2;++n)i.push(x[0],x[1],x[2],_[0],_[1],_[2],w,b,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(x[0],x[1],x[2],_[0],_[1],_[2],w,b,v[0],v[1],v[2],v[3],x[0],x[1],x[2],_[0],_[1],_[2],w,-b,v[0],v[1],v[2],v[3],_[0],_[1],_[2],x[0],x[1],x[2],s,-b,y[0],y[1],y[2],y[3],_[0],_[1],_[2],x[0],x[1],x[2],s,b,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(d[d.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in e){var k=e.dashes.slice();for(k.unshift(0),t=1;t<k.length;++t)k[t]=k[t-1]+k[t];var E=c(new Array(1024),[256,1,4]);for(t=0;t<256;++t){for(n=0;n<4;++n)E.set(t,0,n,0);1&l.le(k,k[k.length-1]*t/255)?E.set(t,0,0,0):E.set(t,0,0,255)}this.texture.setPixels(E)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(e){if(!e)return null;if(e.id!==this.pickId)return null;var t=function(e,t,n,r){return o[0]=r,o[1]=n,o[2]=t,o[3]=e,s[0]}(e.value[0],e.value[1],e.value[2],0),n=l.le(this.arcLength,t);if(n<0)return null;if(n===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),n);for(var r=this.points[n],i=this.points[Math.min(n+1,this.points.length-1)],a=(t-this.arcLength[n])/(this.arcLength[n+1]-this.arcLength[n]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*r[f]+a*i[f];var d=Math.min(a<.5?n:n+1,this.points.length-1);return new g(t,u,d,this.points[d])}},1903:function(e){e.exports=function(e){var t=new Float32Array(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6864:function(e){e.exports=function(){var e=new Float32Array(16);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}},9921:function(e){e.exports=function(e){var t=e[0],n=e[1],r=e[2],i=e[3],a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],d=e[11],h=e[12],p=e[13],m=e[14],g=e[15];return(t*o-n*a)*(f*g-d*m)-(t*s-r*a)*(u*g-d*p)+(t*l-i*a)*(u*m-f*p)+(n*s-r*o)*(c*g-d*h)-(n*l-i*o)*(c*m-f*h)+(r*l-i*s)*(c*p-u*h)}},7399:function(e){e.exports=function(e,t){var n=t[0],r=t[1],i=t[2],a=t[3],o=n+n,s=r+r,l=i+i,c=n*o,u=r*o,f=r*s,d=i*o,h=i*s,p=i*l,m=a*o,g=a*s,v=a*l;return e[0]=1-f-p,e[1]=u+v,e[2]=d-g,e[3]=0,e[4]=u-v,e[5]=1-c-p,e[6]=h+m,e[7]=0,e[8]=d+g,e[9]=h-m,e[10]=1-c-f,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}},6743:function(e){e.exports=function(e,t,n){var r=t[0],i=t[1],a=t[2],o=t[3],s=r+r,l=i+i,c=a+a,u=r*s,f=r*l,d=r*c,h=i*l,p=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return e[0]=1-(h+m),e[1]=f+y,e[2]=d-v,e[3]=0,e[4]=f-y,e[5]=1-(u+m),e[6]=p+g,e[7]=0,e[8]=d+v,e[9]=p-g,e[10]=1-(u+h),e[11]=0,e[12]=n[0],e[13]=n[1],e[14]=n[2],e[15]=1,e}},7894:function(e){e.exports=function(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}},7608:function(e){e.exports=function(e,t){var n=t[0],r=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],c=t[7],u=t[8],f=t[9],d=t[10],h=t[11],p=t[12],m=t[13],g=t[14],v=t[15],y=n*s-r*o,b=n*l-i*o,x=n*c-a*o,_=r*l-i*s,A=r*c-a*s,w=i*c-a*l,k=u*m-f*p,E=u*g-d*p,T=u*v-h*p,M=f*g-d*m,S=f*v-h*m,O=d*v-h*g,C=y*O-b*S+x*M+_*T-A*E+w*k;if(!C)return null;return C=1/C,e[0]=(s*O-l*S+c*M)*C,e[1]=(i*S-r*O-a*M)*C,e[2]=(m*w-g*A+v*_)*C,e[3]=(d*A-f*w-h*_)*C,e[4]=(l*T-o*O-c*E)*C,e[5]=(n*O-i*T+a*E)*C,e[6]=(g*x-p*w-v*b)*C,e[7]=(u*w-d*x+h*b)*C,e[8]=(o*S-s*T+c*k)*C,e[9]=(r*T-n*S-a*k)*C,e[10]=(p*A-m*x+v*y)*C,e[11]=(f*x-u*A-h*y)*C,e[12]=(s*E-o*M-l*k)*C,e[13]=(n*M-r*E+i*k)*C,e[14]=(m*b-p*_-g*y)*C,e[15]=(u*_-f*b+d*y)*C,e}},6582:function(e,t,n){var r=n(7894);e.exports=function(e,t,n,i){var a,o,s,l,c,u,f,d,h,p,m=t[0],g=t[1],v=t[2],y=i[0],b=i[1],x=i[2],_=n[0],A=n[1],w=n[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-A)<1e-6&&Math.abs(v-w)<1e-6)return r(e);f=m-_,d=g-A,h=v-w,p=1/Math.sqrt(f*f+d*d+h*h),a=b*(h*=p)-x*(d*=p),o=x*(f*=p)-y*h,s=y*d-b*f,(p=Math.sqrt(a*a+o*o+s*s))?(a*=p=1/p,o*=p,s*=p):(a=0,o=0,s=0);l=d*s-h*o,c=h*a-f*s,u=f*o-d*a,(p=Math.sqrt(l*l+c*c+u*u))?(l*=p=1/p,c*=p,u*=p):(l=0,c=0,u=0);return e[0]=a,e[1]=l,e[2]=f,e[3]=0,e[4]=o,e[5]=c,e[6]=d,e[7]=0,e[8]=s,e[9]=u,e[10]=h,e[11]=0,e[12]=-(a*m+o*g+s*v),e[13]=-(l*m+c*g+u*v),e[14]=-(f*m+d*g+h*v),e[15]=1,e}},6760:function(e){e.exports=function(e,t,n){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],c=t[6],u=t[7],f=t[8],d=t[9],h=t[10],p=t[11],m=t[12],g=t[13],v=t[14],y=t[15],b=n[0],x=n[1],_=n[2],A=n[3];return e[0]=b*r+x*s+_*f+A*m,e[1]=b*i+x*l+_*d+A*g,e[2]=b*a+x*c+_*h+A*v,e[3]=b*o+x*u+_*p+A*y,b=n[4],x=n[5],_=n[6],A=n[7],e[4]=b*r+x*s+_*f+A*m,e[5]=b*i+x*l+_*d+A*g,e[6]=b*a+x*c+_*h+A*v,e[7]=b*o+x*u+_*p+A*y,b=n[8],x=n[9],_=n[10],A=n[11],e[8]=b*r+x*s+_*f+A*m,e[9]=b*i+x*l+_*d+A*g,e[10]=b*a+x*c+_*h+A*v,e[11]=b*o+x*u+_*p+A*y,b=n[12],x=n[13],_=n[14],A=n[15],e[12]=b*r+x*s+_*f+A*m,e[13]=b*i+x*l+_*d+A*g,e[14]=b*a+x*c+_*h+A*v,e[15]=b*o+x*u+_*p+A*y,e}},4040:function(e){e.exports=function(e,t,n,r,i,a,o){var s=1/(t-n),l=1/(r-i),c=1/(a-o);return e[0]=-2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=-2*l,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=2*c,e[11]=0,e[12]=(t+n)*s,e[13]=(i+r)*l,e[14]=(o+a)*c,e[15]=1,e}},4772:function(e){e.exports=function(e,t,n,r,i){var a=1/Math.tan(t/2),o=1/(r-i);return e[0]=a/n,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=a,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=(i+r)*o,e[11]=-1,e[12]=0,e[13]=0,e[14]=2*i*r*o,e[15]=0,e}},6079:function(e){e.exports=function(e,t,n,r){var i,a,o,s,l,c,u,f,d,h,p,m,g,v,y,b,x,_,A,w,k,E,T,M,S=r[0],O=r[1],C=r[2],N=Math.sqrt(S*S+O*O+C*C);if(Math.abs(N)<1e-6)return null;S*=N=1/N,O*=N,C*=N,i=Math.sin(n),a=Math.cos(n),o=1-a,s=t[0],l=t[1],c=t[2],u=t[3],f=t[4],d=t[5],h=t[6],p=t[7],m=t[8],g=t[9],v=t[10],y=t[11],b=S*S*o+a,x=O*S*o+C*i,_=C*S*o-O*i,A=S*O*o-C*i,w=O*O*o+a,k=C*O*o+S*i,E=S*C*o+O*i,T=O*C*o-S*i,M=C*C*o+a,e[0]=s*b+f*x+m*_,e[1]=l*b+d*x+g*_,e[2]=c*b+h*x+v*_,e[3]=u*b+p*x+y*_,e[4]=s*A+f*w+m*k,e[5]=l*A+d*w+g*k,e[6]=c*A+h*w+v*k,e[7]=u*A+p*w+y*k,e[8]=s*E+f*T+m*M,e[9]=l*E+d*T+g*M,e[10]=c*E+h*T+v*M,e[11]=u*E+p*T+y*M,t!==e&&(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]);return e}},5567:function(e){e.exports=function(e,t,n){var r=Math.sin(n),i=Math.cos(n),a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],d=t[11];t!==e&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]);return e[4]=a*i+c*r,e[5]=o*i+u*r,e[6]=s*i+f*r,e[7]=l*i+d*r,e[8]=c*i-a*r,e[9]=u*i-o*r,e[10]=f*i-s*r,e[11]=d*i-l*r,e}},2408:function(e){e.exports=function(e,t,n){var r=Math.sin(n),i=Math.cos(n),a=t[0],o=t[1],s=t[2],l=t[3],c=t[8],u=t[9],f=t[10],d=t[11];t!==e&&(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]);return e[0]=a*i-c*r,e[1]=o*i-u*r,e[2]=s*i-f*r,e[3]=l*i-d*r,e[8]=a*r+c*i,e[9]=o*r+u*i,e[10]=s*r+f*i,e[11]=l*r+d*i,e}},7089:function(e){e.exports=function(e,t,n){var r=Math.sin(n),i=Math.cos(n),a=t[0],o=t[1],s=t[2],l=t[3],c=t[4],u=t[5],f=t[6],d=t[7];t!==e&&(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]);return e[0]=a*i+c*r,e[1]=o*i+u*r,e[2]=s*i+f*r,e[3]=l*i+d*r,e[4]=c*i-a*r,e[5]=u*i-o*r,e[6]=f*i-s*r,e[7]=d*i-l*r,e}},2504:function(e){e.exports=function(e,t,n){var r=n[0],i=n[1],a=n[2];return e[0]=t[0]*r,e[1]=t[1]*r,e[2]=t[2]*r,e[3]=t[3]*r,e[4]=t[4]*i,e[5]=t[5]*i,e[6]=t[6]*i,e[7]=t[7]*i,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},7656:function(e){e.exports=function(e,t,n){var r,i,a,o,s,l,c,u,f,d,h,p,m=n[0],g=n[1],v=n[2];t===e?(e[12]=t[0]*m+t[4]*g+t[8]*v+t[12],e[13]=t[1]*m+t[5]*g+t[9]*v+t[13],e[14]=t[2]*m+t[6]*g+t[10]*v+t[14],e[15]=t[3]*m+t[7]*g+t[11]*v+t[15]):(r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],c=t[6],u=t[7],f=t[8],d=t[9],h=t[10],p=t[11],e[0]=r,e[1]=i,e[2]=a,e[3]=o,e[4]=s,e[5]=l,e[6]=c,e[7]=u,e[8]=f,e[9]=d,e[10]=h,e[11]=p,e[12]=r*m+s*g+f*v+t[12],e[13]=i*m+l*g+d*v+t[13],e[14]=a*m+c*g+h*v+t[14],e[15]=o*m+u*g+p*v+t[15]);return e}},5665:function(e){e.exports=function(e,t){if(e===t){var n=t[1],r=t[2],i=t[3],a=t[6],o=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=n,e[6]=t[9],e[7]=t[13],e[8]=r,e[9]=a,e[11]=t[14],e[12]=i,e[13]=o,e[14]=s}else e[0]=t[0],e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=t[1],e[5]=t[5],e[6]=t[9],e[7]=t[13],e[8]=t[2],e[9]=t[6],e[10]=t[10],e[11]=t[14],e[12]=t[3],e[13]=t[7],e[14]=t[11],e[15]=t[15];return e}},7626:function(e,t,n){"use strict";var r=n(2642),i=n(9346);function a(e,t){for(var n=[0,0,0,0],r=0;r<4;++r)for(var i=0;i<4;++i)n[i]+=e[4*r+i]*t[r];return n}function o(e,t,n,r,i){for(var o=a(r,a(n,a(t,[e[0],e[1],e[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(e,t){for(var n=[0,0,0],r=0;r<e.length;++r)for(var i=e[r],a=t[r],o=0;o<3;++o)n[o]+=a*i[o];return n}e.exports=function(e,t,n,a,l,c){if(1===e.length)return[0,e[0].slice()];for(var u=new Array(e.length),f=0;f<e.length;++f)u[f]=o(e[f],n,a,l,c);var d=0,h=1/0;for(f=0;f<u.length;++f){for(var p=0,m=0;m<2;++m)p+=Math.pow(u[f][m]-t[m],2);p<h&&(h=p,d=f)}var g=function(e,t){if(2===e.length){for(var n=0,a=0,o=0;o<2;++o)n+=Math.pow(t[o]-e[0][o],2),a+=Math.pow(t[o]-e[1][o],2);return(n=Math.sqrt(n))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(n+a),n/(a+n)]}if(3===e.length){var s=[0,0];return i(e[0],e[1],e[2],t,s),r(e,s)}return[]}(u,t),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[d,s(e,g),g]}},840:function(e,t,n){var r=n(3236),i=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=r(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=r(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),d=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),h=r(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),p=r(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);t.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},t.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},t.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},t.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},t.pointPickShader={vertex:d,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},t.contourShader={vertex:h,fragment:p,attributes:[{name:"position",type:"vec3"}]}},7201:function(e,t,n){"use strict";var r=n(9405),i=n(2762),a=n(8116),o=n(7766),s=n(8406),l=n(6760),c=n(7608),u=n(9618),f=n(6729),d=n(7765),h=n(1888),p=n(840),m=n(7626),g=p.meshShader,v=p.wireShader,y=p.pointShader,b=p.pickShader,x=p.pointPickShader,_=p.contourShader,A=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function w(e,t,n,r,i,a,o,s,l,c,u,f,d,h,p,m,g,v,y,b,x,_,w,k,E,T,M){this.gl=e,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=t,this.dirty=!0,this.triShader=n,this.lineShader=r,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=d,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=h,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=k,this.pointIds=x,this.pointVAO=E,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=T,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=A,this._view=A,this._projection=A,this._resolution=[1,1]}var k=w.prototype;function E(e,t){if(!t)return 1;if(!t.length)return 1;for(var n=0;n<t.length;++n){if(t.length<2)return 1;if(t[n][0]===e)return t[n][1];if(t[n][0]>e&&n>0){var r=(t[n][0]-e)/(t[n][0]-t[n-1][0]);return t[n][1]*(1-r)+r*t[n-1][1]}}return 1}function T(e){var t=r(e,y.vertex,y.fragment);return t.attributes.position.location=0,t.attributes.color.location=2,t.attributes.uv.location=3,t.attributes.pointSize.location=4,t}function M(e){var t=r(e,b.vertex,b.fragment);return t.attributes.position.location=0,t.attributes.id.location=1,t}function S(e){var t=r(e,x.vertex,x.fragment);return t.attributes.position.location=0,t.attributes.id.location=1,t.attributes.pointSize.location=4,t}function O(e){var t=r(e,_.vertex,_.fragment);return t.attributes.position.location=0,t}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(e){this.pickId=e},k.highlight=function(e){if(e&&this.contourEnable){for(var t=d(this.cells,this.intensity,e.intensity),n=t.cells,r=t.vertexIds,i=t.vertexWeights,a=n.length,o=h.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=n[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var p=r[f][0],m=r[f][1],g=i[f],v=1-g,y=this.positions[p],b=this.positions[m],x=0;x<3;++x)o[s++]=g*y[x]+v*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),h.free(o)}else this.contourCount=0},k.update=function(e){e=e||{};var t=this.gl;this.dirty=!0,"contourEnable"in e&&(this.contourEnable=e.contourEnable),"contourColor"in e&&(this.contourColor=e.contourColor),"lineWidth"in e&&(this.lineWidth=e.lineWidth),"lightPosition"in e&&(this.lightPosition=e.lightPosition),this.hasAlpha=!1,"opacity"in e&&(this.opacity=e.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in e&&(this.opacityscale=e.opacityscale,this.hasAlpha=!0),"ambient"in e&&(this.ambientLight=e.ambient),"diffuse"in e&&(this.diffuseLight=e.diffuse),"specular"in e&&(this.specularLight=e.specular),"roughness"in e&&(this.roughness=e.roughness),"fresnel"in e&&(this.fresnel=e.fresnel),e.texture?(this.texture.dispose(),this.texture=o(t,e.texture)):e.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=t.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=t.LINEAR,this.texture.setPixels(function(e,t){for(var n=f({colormap:e,nshades:256,format:"rgba"}),r=new Uint8Array(1024),i=0;i<256;++i){for(var a=n[i],o=0;o<3;++o)r[4*i+o]=a[o];r[4*i+3]=t?255*E(i/255,t):255*a[3]}return u(r,[256,256,4],[4,0,1])}(e.colormap,this.opacityscale)),this.texture.generateMipmap());var n=e.cells,r=e.positions;if(r&&n){var i=[],a=[],l=[],c=[],d=[],h=[],p=[],m=[],g=[],v=[],y=[],b=[],x=[],_=[];this.cells=n,this.positions=r;var A=e.vertexNormals,w=e.cellNormals,k=void 0===e.vertexNormalsEpsilon?1e-6:e.vertexNormalsEpsilon,T=void 0===e.faceNormalsEpsilon?1e-6:e.faceNormalsEpsilon;e.useFacetNormals&&!w&&(w=s.faceNormals(n,r,T)),w||A||(A=s.vertexNormals(n,r,k));var M=e.vertexColors,S=e.cellColors,O=e.meshColor||[1,1,1,1],C=e.vertexUVs,N=e.vertexIntensity,R=e.cellUVs,L=e.cellIntensity,P=1/0,D=-1/0;if(!C&&!R)if(N)if(e.vertexIntensityBounds)P=+e.vertexIntensityBounds[0],D=+e.vertexIntensityBounds[1];else for(var I=0;I<N.length;++I){var j=N[I];P=Math.min(P,j),D=Math.max(D,j)}else if(L)if(e.cellIntensityBounds)P=+e.cellIntensityBounds[0],D=+e.cellIntensityBounds[1];else for(I=0;I<L.length;++I){j=L[I];P=Math.min(P,j),D=Math.max(D,j)}else for(I=0;I<r.length;++I){j=r[I][2];P=Math.min(P,j),D=Math.max(D,j)}this.intensity=N||(L||function(e){for(var t=e.length,n=new Array(t),r=0;r<t;++r)n[r]=e[r][2];return n}(r)),this.pickVertex=!(L||S);var F=e.pointSizes,z=e.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(I=0;I<r.length;++I)for(var B=r[I],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var $=0,H=0,q=0;e:for(I=0;I<n.length;++I){var V=n[I];switch(V.length){case 1:for(B=r[G=V[0]],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue e;v.push(B[0],B[1],B[2]),Y=M?M[G]:S?S[I]:O,this.opacityscale&&N?a.push(Y[0],Y[1],Y[2],this.opacity*E((N[G]-P)/(D-P),this.opacityscale)):3===Y.length?y.push(Y[0],Y[1],Y[2],this.opacity):(y.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=C?C[G]:N?[(N[G]-P)/(D-P),0]:R?R[I]:L?[(L[I]-P)/(D-P),0]:[(B[2]-P)/(D-P),0],b.push(X[0],X[1]),F?x.push(F[G]):x.push(z),_.push(I),q+=1;break;case 2:for(U=0;U<2;++U){B=r[G=V[U]];for(var W=0;W<3;++W)if(isNaN(B[W])||!isFinite(B[W]))continue e}for(U=0;U<2;++U){B=r[G=V[U]];h.push(B[0],B[1],B[2]),Y=M?M[G]:S?S[I]:O,this.opacityscale&&N?a.push(Y[0],Y[1],Y[2],this.opacity*E((N[G]-P)/(D-P),this.opacityscale)):3===Y.length?p.push(Y[0],Y[1],Y[2],this.opacity):(p.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=C?C[G]:N?[(N[G]-P)/(D-P),0]:R?R[I]:L?[(L[I]-P)/(D-P),0]:[(B[2]-P)/(D-P),0],m.push(X[0],X[1]),g.push(I)}H+=1;break;case 3:for(U=0;U<3;++U)for(B=r[G=V[U]],W=0;W<3;++W)if(isNaN(B[W])||!isFinite(B[W]))continue e;for(U=0;U<3;++U){var G,Y,X,K;B=r[G=V[2-U]];i.push(B[0],B[1],B[2]),(Y=M?M[G]:S?S[I]:O)?this.opacityscale&&N?a.push(Y[0],Y[1],Y[2],this.opacity*E((N[G]-P)/(D-P),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[G]:N?[(N[G]-P)/(D-P),0]:R?R[I]:L?[(L[I]-P)/(D-P),0]:[(B[2]-P)/(D-P),0],c.push(X[0],X[1]),K=A?A[G]:w[I],l.push(K[0],K[1],K[2]),d.push(I)}$+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=$,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(b),this.pointSizes.update(x),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(h),this.edgeColors.update(p),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(d))}},k.drawTransparent=k.draw=function(e){e=e||{};for(var t=this.gl,n=e.model||A,r=e.view||A,i=e.projection||A,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:n,view:r,projection:i,inverseModel:A.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),t.disable(t.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,d=u[15];for(o=0;o<3;++o)d+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var h=u[12+o],p=0;p<3;++p)h+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=h/d}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),t.drawArrays(t.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),t.lineWidth(this.lineWidth*this.pixelRatio),t.drawArrays(t.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),t.drawArrays(t.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),t.drawArrays(t.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(e){e=e||{};for(var t=this.gl,n=e.model||A,r=e.view||A,i=e.projection||A,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(n),this._view=[].slice.call(r),this._projection=[].slice.call(i),this._resolution=[t.drawingBufferWidth,t.drawingBufferHeight];var s,l={model:n,view:r,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),t.drawArrays(t.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),t.lineWidth(this.lineWidth*this.pixelRatio),t.drawArrays(t.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),t.drawArrays(t.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(e){if(!e)return null;if(e.id!==this.pickId)return null;for(var t=e.value[0]+256*e.value[1]+65536*e.value[2],n=this.cells[t],r=this.positions,i=new Array(n.length),a=0;a<n.length;++a)i[a]=r[n[a]];var o=e.coord[0],s=e.coord[1];if(!this.pickVertex){var l=this.positions[n[0]],c=this.positions[n[1]],u=this.positions[n[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:t,cell:n,cellId:t,intensity:this.intensity[t],dataCoordinate:f}}var d=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!d)return null;var h=d[2],p=0;for(a=0;a<n.length;++a)p+=h[a]*this.intensity[n[a]];return{position:d[1],index:n[d[0]],cell:n,cellId:t,intensity:p,dataCoordinate:this.positions[n[d[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(e,t){if(1===arguments.length&&(e=(t=e).gl),!(e.getExtension("OES_standard_derivatives")||e.getExtension("MOZ_OES_standard_derivatives")||e.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var n=function(e){var t=r(e,g.vertex,g.fragment);return t.attributes.position.location=0,t.attributes.color.location=2,t.attributes.uv.location=3,t.attributes.normal.location=4,t}(e),s=function(e){var t=r(e,v.vertex,v.fragment);return t.attributes.position.location=0,t.attributes.color.location=2,t.attributes.uv.location=3,t}(e),l=T(e),c=M(e),f=S(e),d=O(e),h=o(e,u(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=e.LINEAR_MIPMAP_LINEAR,h.magFilter=e.LINEAR;var p=i(e),m=i(e),y=i(e),b=i(e),x=i(e),_=a(e,[{buffer:p,type:e.FLOAT,size:3},{buffer:x,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:e.FLOAT,size:4},{buffer:y,type:e.FLOAT,size:2},{buffer:b,type:e.FLOAT,size:3}]),A=i(e),k=i(e),E=i(e),C=i(e),N=a(e,[{buffer:A,type:e.FLOAT,size:3},{buffer:C,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:e.FLOAT,size:4},{buffer:E,type:e.FLOAT,size:2}]),R=i(e),L=i(e),P=i(e),D=i(e),I=i(e),j=a(e,[{buffer:R,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:L,type:e.FLOAT,size:4},{buffer:P,type:e.FLOAT,size:2},{buffer:D,type:e.FLOAT,size:1}]),F=i(e),z=new w(e,h,n,s,l,c,f,d,p,x,m,y,b,_,A,C,k,E,N,R,I,L,P,D,j,F,a(e,[{buffer:F,type:e.FLOAT,size:3}]));return z.update(t),z}},8120:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t,[0,0,0,1,1,0,1,1]),s=i(t,a.boxVert,a.lineFrag);return new o(e,n,s)};var r=n(2762),i=n(9405),a=n(3603);function o(e,t,n){this.plot=e,this.vbo=t,this.shader=n}var s,l,c=o.prototype;c.bind=function(){var e=this.shader;this.vbo.bind(),this.shader.bind(),e.attributes.coord.pointer(),e.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(e,t,n,r,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=e,s[1]=t,l[0]=n,l[1]=r,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t),a=i(t,o.gridVert,o.gridFrag),l=i(t,o.tickVert,o.gridFrag);return new s(e,n,a,l)};var r=n(2762),i=n(9405),a=n(2478),o=n(3603);function s(e,t,n,r){this.plot=e,this.vbo=t,this.shader=n,this.tickShader=r,this.ticks=[[],[]]}function l(e,t){return e-t}var c,u,f,d,h,p=s.prototype;p.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var e=this.plot,t=this.vbo,n=this.shader,r=this.ticks,i=e.gl,a=e._tickBounds,o=e.dataBox,s=e.viewBox,l=e.gridLineWidth,d=e.gridLineColor,h=e.gridLineEnable,p=e.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),b=o[m+2]-o[m];u[m]=2*v/b,c[m]=2*(g-y)/b}n.bind(),t.bind(),n.attributes.dataCoord.pointer(),n.uniforms.dataShift=c,n.uniforms.dataScale=u;var x=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,n.uniforms.dataAxis=f,n.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*p,n.uniforms.color=d[m];var _=6*r[m].length;h[m]&&_&&i.drawArrays(i.TRIANGLES,x,_),x+=_}}),p.drawTickMarks=function(){var e=[0,0],t=[0,0],n=[1,0],r=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,d=s.gl,h=s._tickBounds,p=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],b=v[3]-v[1],x=m[2]-m[0],_=m[3]-m[1],A=0;A<2;++A){var w=h[A],k=h[A+2]-w,E=.5*(p[A+2]+p[A]),T=p[A+2]-p[A];t[A]=2*k/T,e[A]=2*(w-E)/T}t[0]*=x/y,e[0]*=x/y,t[1]*=_/b,e[1]*=_/b,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var M=u.uniforms;M.dataShift=e,M.dataScale=t;var S=s.tickMarkLength,O=s.tickMarkWidth,C=s.tickMarkColor,N=6*f[0].length,R=Math.min(a.ge(f[0],(p[0]-h[0])/(h[2]-h[0]),l),f[0].length),L=Math.min(a.gt(f[0],(p[2]-h[0])/(h[2]-h[0]),l),f[0].length),P=0+6*R,D=6*Math.max(0,L-R),I=Math.min(a.ge(f[1],(p[1]-h[1])/(h[3]-h[1]),l),f[1].length),j=Math.min(a.gt(f[1],(p[3]-h[1])/(h[3]-h[1]),l),f[1].length),F=N+6*I,z=6*Math.max(0,j-I);i[0]=2*(m[0]-S[1])/y-1,i[1]=(m[3]+m[1])/b-1,o[0]=S[1]*g/y,o[1]=O[1]*g/b,z&&(M.color=C[1],M.tickScale=o,M.dataAxis=r,M.screenOffset=i,d.drawArrays(d.TRIANGLES,F,z)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-S[0])/b-1,o[0]=O[0]*g/y,o[1]=S[0]*g/b,D&&(M.color=C[0],M.tickScale=o,M.dataAxis=n,M.screenOffset=i,d.drawArrays(d.TRIANGLES,P,D)),i[0]=2*(m[2]+S[3])/y-1,i[1]=(m[3]+m[1])/b-1,o[0]=S[3]*g/y,o[1]=O[3]*g/b,z&&(M.color=C[3],M.tickScale=o,M.dataAxis=r,M.screenOffset=i,d.drawArrays(d.TRIANGLES,F,z)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+S[2])/b-1,o[0]=O[2]*g/y,o[1]=S[2]*g/b,D&&(M.color=C[2],M.tickScale=o,M.dataAxis=n,M.screenOffset=i,d.drawArrays(d.TRIANGLES,P,D))}}(),p.update=(d=[1,1,-1,-1,1,-1],h=[1,-1,1,1,-1,-1],function(e){for(var t=e.ticks,n=e.bounds,r=new Float32Array(18*(t[0].length+t[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=t[o],c=n[o],u=n[o+2],f=0;f<l.length;++f){var p=(l[f].x-c)/(u-c);s.push(p);for(var m=0;m<6;++m)r[i++]=p,r[i++]=d[m],r[i++]=h[m]}this.ticks=a,this.vbo.update(r)}),p.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t,[-1,-1,-1,1,1,-1,1,1]),s=i(t,a.lineVert,a.lineFrag);return new o(e,n,s)};var r=n(2762),i=n(9405),a=n(3603);function o(e,t,n){this.plot=e,this.vbo=t,this.shader=n}var s,l,c=o.prototype;c.bind=function(){var e=this.shader;this.vbo.bind(),this.shader.bind(),e.attributes.coord.pointer(),e.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(e,t,n,r,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=e,s[1]=t,l[0]=n,l[1]=r,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(e,t,n){"use strict";var r=n(3236),i=r(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:r(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},2142:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t),a=i(t,s.textVert,s.textFrag);return new l(e,n,a)};var r=n(2762),i=n(9405),a=n(529),o=n(2478),s=n(3603);function l(e,t,n){this.plot=e,this.vbo=t,this.shader=n,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,d,h,p,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(e){var t=this.plot,n=this.shader,r=this.tickX[e],i=this.tickOffset[e],a=t.gl,s=t.viewBox,l=t.dataBox,d=t.screenBox,h=t.pixelRatio,p=t.tickEnable,m=t.tickPad,g=t.tickColor,v=t.tickAngle,y=t.labelEnable,b=t.labelPad,x=t.labelColor,_=t.labelAngle,A=this.labelOffset[e],w=this.labelCount[e],k=o.lt(r,l[e]),E=o.le(r,l[e+2]);c[0]=c[1]=0,c[e]=1,u[e]=(s[2+e]+s[e])/(d[2+e]-d[e])-1;var T=2/d[2+(1^e)]-d[1^e];u[1^e]=T*s[1^e]-1,p[e]&&(u[1^e]-=T*h*m[e],k<E&&i[E]>i[k]&&(n.uniforms.dataAxis=c,n.uniforms.screenOffset=u,n.uniforms.color=g[e],n.uniforms.angle=v[e],a.drawArrays(a.TRIANGLES,i[k],i[E]-i[k]))),y[e]&&w&&(u[1^e]-=T*h*b[e],n.uniforms.dataAxis=f,n.uniforms.screenOffset=u,n.uniforms.color=x[e],n.uniforms.angle=_[e],a.drawArrays(a.TRIANGLES,A,w)),u[1^e]=T*s[2+(1^e)]-1,p[e+2]&&(u[1^e]+=T*h*m[e+2],k<E&&i[E]>i[k]&&(n.uniforms.dataAxis=c,n.uniforms.screenOffset=u,n.uniforms.color=g[e+2],n.uniforms.angle=v[e+2],a.drawArrays(a.TRIANGLES,i[k],i[E]-i[k]))),y[e+2]&&w&&(u[1^e]+=T*h*b[e+2],n.uniforms.dataAxis=f,n.uniforms.screenOffset=u,n.uniforms.color=x[e+2],n.uniforms.angle=_[e+2],a.drawArrays(a.TRIANGLES,A,w))}),m.drawTitle=function(){var e=[0,0],t=[0,0];return function(){var n=this.plot,r=this.shader,i=n.gl,a=n.screenBox,o=n.titleCenter,s=n.titleAngle,l=n.titleColor,c=n.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)t[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;r.bind(),r.uniforms.dataAxis=e,r.uniforms.screenOffset=t,r.uniforms.angle=s,r.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(d=[0,0],h=[0,0],p=[0,0],function(){var e=this.plot,t=this.shader,n=e._tickBounds,r=e.dataBox,i=e.screenBox,a=e.viewBox;t.bind();for(var o=0;o<2;++o){var s=n[o],l=n[o+2]-s,c=.5*(r[o+2]+r[o]),u=r[o+2]-r[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;h[o]=2*l/u*m/v,d[o]=2*(s-c)/u*m/v}p[1]=2*e.pixelRatio/(i[3]-i[1]),p[0]=p[1]*(i[3]-i[1])/(i[2]-i[0]),t.uniforms.dataScale=h,t.uniforms.dataShift=d,t.uniforms.textScale=p,this.vbo.bind(),t.attributes.textCoordinate.pointer()}),m.update=function(e){var t,n,r,i,o,s=[],l=e.ticks,c=e.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],d=l[o];for(t=0;t<d.length;++t){var h=d[t],p=h.x,m=h.text,g=h.font||"sans-serif";i=h.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],b=m.split("\n"),x=0;x<b.length;x++)for(r=a(g,b[x]).data,n=0;n<r.length;n+=2)s.push(r[n]*i,-r[n+1]*i-x*i*1.2,(p-y)*v);u.push(Math.floor(s.length/3)),f.push(p)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),r=a(e.labelFont[o],e.labels[o],{textAlign:"center"}).data,i=e.labelSize[o],t=0;t<r.length;t+=2)s.push(r[t]*i,-r[t+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),r=a(e.titleFont,e.title).data,i=e.titleSize,t=0;t<r.length;t+=2)s.push(r[t]*i,-r[t+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=r(t,[t.drawingBufferWidth,t.drawingBufferHeight]),c=new l(t,n);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(e),c};var r=n(3589),i=n(1913),a=n(2142),o=n(4747),s=n(8120);function l(e,t){this.gl=e,this.pickBuffer=t,this.screenBox=[0,0,e.drawingBufferWidth,e.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(e){for(var t=e.slice(),n=0;n<t.length;++n)t[n]=t[n].slice();return t}function f(e,t){return e.x-t.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var e=this.gl,t=this.screenBox,n=this.viewBox,r=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,e.bindFramebuffer(e.FRAMEBUFFER,null),e.enable(e.SCISSOR_TEST),e.disable(e.DEPTH_TEST),e.depthFunc(e.LESS),e.depthMask(!1),e.enable(e.BLEND),e.blendEquation(e.FUNC_ADD,e.FUNC_ADD),e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA),this.borderColor){e.scissor(t[0],t[1],t[2]-t[0],t[3]-t[1]);var c=this.borderColor;e.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT)}e.scissor(n[0],n[1],n[2]-n[0],n[3]-n[1]),e.viewport(n[0],n[1],n[2]-n[0],n[3]-n[1]);var u=this.backgroundColor;e.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),e.clear(e.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,d=this.zeroLineColor,h=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var p=0;p<2;++p)if(f[p]&&r[p]<=0&&r[p+2]>=0){var m=t[p]-r[p]*(t[p+2]-t[p])/(r[p+2]-r[p]);0===p?o.drawLine(m,t[1],m,t[3],h[p],d[p]):o.drawLine(t[0],m,t[2],m,h[p],d[p])}}for(p=0;p<l.length;++p)l[p].draw();e.viewport(t[0],t[1],t[2]-t[0],t[3]-t[1]),e.scissor(t[0],t[1],t[2]-t[0],t[3]-t[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(n[0],n[1]-.5*v[1]*i,n[0],n[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(n[0]-.5*v[0]*i,n[1],n[2]+.5*v[2]*i,n[1],v[0],y[0]),g[3]&&o.drawLine(n[2],n[1]-.5*v[1]*i,n[2],n[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(n[0]-.5*v[0]*i,n[3],n[2]+.5*v[2]*i,n[3],v[2],y[2]),s.bind(),p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();var b=this.overlays;for(p=0;p<b.length;++p)b[p].draw();e.disable(e.SCISSOR_TEST),e.disable(e.BLEND),e.depthMask(!0)}},c.drawPick=function(){if(!this.static){var e=this.pickBuffer;this.gl,this._pickTimeout=null,e.begin();for(var t=1,n=this.objects,r=0;r<n.length;++r)t=n[r].drawPick(t);e.end()}},c.pick=function(e,t){if(!this.static){var n=this.pixelRatio,r=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((e-i[0]/n)*r),o=0|Math.round((t-i[1]/n)*r),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(e){var t=this.screenBox,n=this.pixelRatio;t[0]=0|Math.round(e[0]*n),t[1]=0|Math.round(e[1]*n),t[2]=0|Math.round(e[2]*n),t[3]=0|Math.round(e[3]*n),this.setDirty()},c.setDataBox=function(e){var t=this.dataBox;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3])&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],this.setDirty())},c.setViewBox=function(e){var t=this.pixelRatio,n=this.viewBox;n[0]=0|Math.round(e[0]*t),n[1]=0|Math.round(e[1]*t),n[2]=0|Math.round(e[2]*t),n[3]=0|Math.round(e[3]*t);var r=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((e[2]-e[0])*r),0|Math.round((e[3]-e[1])*r)],this.setDirty()},c.update=function(e){e=e||{};var t=this.gl;this.pixelRatio=e.pixelRatio||1;var n=this.pixelRatio;this.pickPixelRatio=Math.max(n,1),this.setScreenBox(e.screenBox||[0,0,t.drawingBufferWidth/n,t.drawingBufferHeight/n]);this.screenBox;this.setViewBox(e.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/n,.125*(this.screenBox[3]-this.screenBox[1])/n,.875*(this.screenBox[2]-this.screenBox[0])/n,.875*(this.screenBox[3]-this.screenBox[1])/n]);var r=this.viewBox,i=(r[2]-r[0])/(r[3]-r[1]);this.setDataBox(e.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==e.borderColor&&(e.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(e.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(e.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(e.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(e.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(e.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(e.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(e.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(e.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(e.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(e.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(e.titleCenter||[.5*(r[0]+r[2])/n,(r[3]+120)/n]).slice(),this.titleEnable=!("titleEnable"in e)||!!e.titleEnable,this.titleAngle=e.titleAngle||0,this.titleColor=(e.titleColor||[0,0,0,1]).slice(),this.labelPad=(e.labelPad||[15,15,15,15]).slice(),this.labelAngle=(e.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(e.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(e.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(e.tickPad||[15,15,15,15]).slice(),this.tickAngle=(e.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(e.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(e.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(e.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(e.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(e.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=e.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:e.labels||["x","y"],labelSize:e.labelSize||[12,12],labelFont:e.labelFont||["sans-serif","sans-serif"],title:e.title||"",titleSize:e.titleSize||18,titleFont:e.titleFont||"sans-serif"}),this.static=!!e.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var e=this.objects.length-1;e>=0;--e)this.objects[e].dispose();this.objects.length=0;for(e=this.overlays.length-1;e>=0;--e)this.overlays[e].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(e){this.objects.indexOf(e)<0&&(this.objects.push(e),this.setDirty())},c.removeObject=function(e){for(var t=this.objects,n=0;n<t.length;++n)if(t[n]===e){t.splice(n,1),this.setDirty();break}},c.addOverlay=function(e){this.overlays.indexOf(e)<0&&(this.overlays.push(e),this.setOverlayDirty())},c.removeOverlay=function(e){for(var t=this.overlays,n=0;n<t.length;++n)if(t[n]===e){t.splice(n,1),this.setOverlayDirty();break}}},4437:function(e,t,n){"use strict";e.exports=function(e,t){e=e||document.body,t=t||{};var n=[.01,1/0];"distanceLimits"in t&&(n[0]=t.distanceLimits[0],n[1]=t.distanceLimits[1]);"zoomMin"in t&&(n[0]=t.zoomMin);"zoomMax"in t&&(n[1]=t.zoomMax);var c=i({center:t.center||[0,0,0],up:t.up||[0,1,0],eye:t.eye||[0,0,10],mode:t.mode||"orbit",distanceLimits:n}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,d=e.clientWidth,h=e.clientHeight,p={keyBindingMode:"rotate",enableWheel:!0,view:c,element:e,delay:t.delay||16,rotateSpeed:t.rotateSpeed||1,zoomSpeed:t.zoomSpeed||1,translateSpeed:t.translateSpeed||1,flipX:!!t.flipX,flipY:!!t.flipY,modes:c.modes,_ortho:t._ortho||t.projection&&"orthographic"===t.projection.type||!1,tick:function(){var t=r(),n=this.delay,i=t-2*n;c.idle(t-n),c.recalcMatrix(i),c.flush(t-(100+2*n));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=e.clientWidth===d&&e.clientHeight===h;return d=e.clientWidth,h=e.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(e,t,n){c.lookAt(c.lastT(),e,t,n)},rotate:function(e,t,n){c.rotate(c.lastT(),e,t,n)},pan:function(e,t,n){c.pan(c.lastT(),e,t,n)},translate:function(e,t,n){c.translate(c.lastT(),e,t,n)}};return Object.defineProperties(p,{matrix:{get:function(){return c.computedMatrix},set:function(e){return c.setMatrix(c.lastT(),e),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(e){var t=c.computedUp.slice(),n=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(e),"turntable"===e){var a=r();c._active.lookAt(a,n,i,t),c._active.lookAt(a+500,n,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(e){return c.lookAt(c.lastT(),null,e),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(e){return c.lookAt(c.lastT(),e),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(e){return c.lookAt(c.lastT(),null,null,e),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(e){return c.setDistance(c.lastT(),e),e},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(n)},set:function(e){return c.setDistanceLimits(e),e},enumerable:!0}}),e.addEventListener("contextmenu",(function(e){return e.preventDefault(),!1})),p._lastX=-1,p._lastY=-1,p._lastMods={shift:!1,control:!1,alt:!1,meta:!1},p.enableMouseListeners=function(){function t(t,n,i,a){var o=p.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,d=!!a.control,h=!!a.alt,m=!!a.shift,g=!!(1&t),v=!!(2&t),y=!!(4&t),b=1/e.clientHeight,x=b*(n-p._lastX),_=b*(i-p._lastY),A=p.flipX?1:-1,w=p.flipY?1:-1,k=Math.PI*p.rotateSpeed,E=r();if(-1!==p._lastX&&-1!==p._lastY&&((s&&g&&!d&&!h&&!m||g&&!d&&!h&&m)&&c.rotate(E,A*k*x,-w*k*_,0),(l&&g&&!d&&!h&&!m||v||g&&d&&!h&&!m)&&c.pan(E,-p.translateSpeed*x*f,p.translateSpeed*_*f,0),u&&g&&!d&&!h&&!m||y||g&&!d&&h&&!m)){var T=-p.zoomSpeed*_/window.innerHeight*(E-c.lastT())*100;c.pan(E,0,0,f*(Math.exp(T)-1))}return p._lastX=n,p._lastY=i,p._lastMods=a,!0}}p.mouseListener=a(e,t),e.addEventListener("touchstart",(function(n){var r=s(n.changedTouches[0],e);t(0,r[0],r[1],p._lastMods),t(1,r[0],r[1],p._lastMods)}),!!l&&{passive:!0}),e.addEventListener("touchmove",(function(n){var r=s(n.changedTouches[0],e);t(1,r[0],r[1],p._lastMods),n.preventDefault()}),!!l&&{passive:!1}),e.addEventListener("touchend",(function(e){t(0,p._lastX,p._lastY,p._lastMods)}),!!l&&{passive:!0}),p.wheelListener=o(e,(function(e,t){if(!1!==p.keyBindingMode&&p.enableWheel){var n=p.flipX?1:-1,i=p.flipY?1:-1,a=r();if(Math.abs(e)>Math.abs(t))c.rotate(a,0,0,-e*n*Math.PI*p.rotateSpeed/window.innerWidth);else if(!p._ortho){var o=-p.zoomSpeed*i*t/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},p.enableMouseListeners(),p};var r=n(3025),i=n(6296),a=n(351),o=n(8512),s=n(24),l=n(7520)},799:function(e,t,n){var r=n(3236),i=n(9405),a=r(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=r(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(e){return i(e,a,o,null,[{name:"position",type:"vec2"}])}},4100:function(e,t,n){"use strict";var r=n(4437),i=n(3837),a=n(5445),o=n(4449),s=n(3589),l=n(2260),c=n(7169),u=n(351),f=n(4772),d=n(4040),h=n(799),p=n(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(e){var t=Math.round(Math.log(Math.abs(e))/Math.log(10));if(t<0){var n=Math.round(Math.pow(10,-t));return Math.ceil(e*n)/n}if(t>0){n=Math.round(Math.pow(10,t));return Math.ceil(e/n)*n}return Math.ceil(e)}function v(e){return"boolean"!=typeof e||e}e.exports={createScene:function(e){(e=e||{}).camera=e.camera||{};var t=e.canvas;if(!t){if(t=document.createElement("canvas"),e.container)e.container.appendChild(t);else document.body.appendChild(t)}var n=e.gl;n||(e.glOptions&&(p=!!e.glOptions.preserveDrawingBuffer),n=function(e,t){var n=null;try{(n=e.getContext("webgl",t))||(n=e.getContext("experimental-webgl",t))}catch(e){return null}return n}(t,e.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:p}));if(!n)throw new Error("webgl not supported");var y=e.bounds||[[-10,-10,-10],[10,10,10]],b=new m,x=l(n,n.drawingBufferWidth,n.drawingBufferHeight,{preferFloat:!p}),_=h(n),A=e.cameraObject&&!0===e.cameraObject._ortho||e.camera.projection&&"orthographic"===e.camera.projection.type||!1,w={eye:e.camera.eye||[2,0,0],center:e.camera.center||[0,0,0],up:e.camera.up||[0,1,0],zoomMin:e.camera.zoomMax||.1,zoomMax:e.camera.zoomMin||100,mode:e.camera.mode||"turntable",_ortho:A},k=e.axes||{},E=i(n,k);E.enable=!k.disable;var T=e.spikes||{},M=o(n,T),S=[],O=[],C=[],N=[],R=!0,L=!0,P=new Array(16),D=new Array(16),I={view:null,projection:P,model:D,_ortho:!1},j=(L=!0,[n.drawingBufferWidth,n.drawingBufferHeight]),F=e.cameraObject||r(t,w),z={gl:n,contextLost:!1,pixelRatio:e.pixelRatio||1,canvas:t,selection:b,camera:F,axes:E,axesPixels:null,spikes:M,bounds:y,objects:S,shape:j,aspect:e.aspectRatio||[1,1,1],pickRadius:e.pickRadius||10,zNear:e.zNear||.01,zFar:e.zFar||1e3,fovy:e.fovy||Math.PI/4,clearColor:e.clearColor||[0,0,0,0],autoResize:v(e.autoResize),autoBounds:v(e.autoBounds),autoScale:!!e.autoScale,autoCenter:v(e.autoCenter),clipToBounds:v(e.clipToBounds),snapToData:!!e.snapToData,onselect:e.onselect||null,onrender:e.onrender||null,onclick:e.onclick||null,cameraParams:I,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(e){this.aspect[0]=e.x,this.aspect[1]=e.y,this.aspect[2]=e.z,L=!0},setBounds:function(e,t){this.bounds[0][e]=t.min,this.bounds[1][e]=t.max},setClearColor:function(e){this.clearColor=e},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[n.drawingBufferWidth/z.pixelRatio|0,n.drawingBufferHeight/z.pixelRatio|0];function U(){if(!z._stopped&&z.autoResize){var e=t.parentNode,n=1,r=1;e&&e!==document.body?(n=e.clientWidth,r=e.clientHeight):(n=window.innerWidth,r=window.innerHeight);var i=0|Math.ceil(n*z.pixelRatio),a=0|Math.ceil(r*z.pixelRatio);if(i!==t.width||a!==t.height){t.width=i,t.height=a;var o=t.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=n+"px",o.height=r+"px",R=!0}}}z.autoResize&&U();function $(){for(var e=S.length,t=N.length,r=0;r<t;++r)C[r]=0;e:for(r=0;r<e;++r){var i=S[r],a=i.pickSlots;if(a){for(var o=0;o<t;++o)if(C[o]+a<255){O[r]=o,i.setPickBase(C[o]+1),C[o]+=a;continue e}var l=s(n,j);O[r]=t,N.push(l),C.push(a),i.setPickBase(1),t+=1}else O[r]=-1}for(;t>0&&0===C[t-1];)C.pop(),N.pop().dispose()}function H(){if(z.contextLost)return!0;n.isContextLost()&&(z.contextLost=!0,z.mouseListener.enabled=!1,z.selection.object=null,z.oncontextloss&&z.oncontextloss())}window.addEventListener("resize",U),z.update=function(e){z._stopped||(e=e||{},R=!0,L=!0)},z.add=function(e){z._stopped||(e.axes=E,S.push(e),O.push(-1),R=!0,L=!0,$())},z.remove=function(e){if(!z._stopped){var t=S.indexOf(e);t<0||(S.splice(t,1),O.pop(),R=!0,L=!0,$())}},z.dispose=function(){if(!z._stopped&&(z._stopped=!0,window.removeEventListener("resize",U),t.removeEventListener("webglcontextlost",H),z.mouseListener.enabled=!1,!z.contextLost)){E.dispose(),M.dispose();for(var e=0;e<S.length;++e)S[e].dispose();x.dispose();for(e=0;e<N.length;++e)N[e].dispose();_.dispose(),n=null,E=null,M=null,S=[]}},z._mouseRotating=!1,z._prevButtons=0,z.enableMouseListeners=function(){z.mouseListener=u(t,(function(e,t,n){if(!z._stopped){var r=N.length,i=S.length,a=b.object;b.distance=1/0,b.mouse[0]=t,b.mouse[1]=n,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(e&&z._prevButtons)z._mouseRotating=!0;else{z._mouseRotating&&(L=!0),z._mouseRotating=!1;for(var s=0;s<r;++s){var l=N[s].query(t,B[1]-n-1,z.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<i;++c){var u=S[c];if(O[c]===s){var f=u.pick(l);f&&(b.buttons=e,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=f.distance,b.dataPosition=f.position,b.dataCoordinate=f.dataCoordinate,b.data=f,o=!0)}}}}}a&&a!==b.object&&(a.highlight&&a.highlight(null),R=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),R=!0),(o=o||b.object!==a)&&z.onselect&&z.onselect(b),1&e&&!(1&z._prevButtons)&&z.onclick&&z.onclick(b),z._prevButtons=e}}))},t.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],V=[q[0].slice(),q[1].slice()];function W(){if(!H()){U();var e=z.camera.tick();I.view=z.camera.matrix,R=R||e,L=L||e,E.pixelRatio=z.pixelRatio,M.pixelRatio=z.pixelRatio;var t=S.length,r=q[0],i=q[1];r[0]=r[1]=r[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<t;++o){(C=S[o]).pixelRatio=z.pixelRatio,C.axes=z.axes,R=R||!!C.dirty,L=L||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],h=0;h<3;++h)r[h]=Math.min(r[h],l[h]),i[h]=Math.max(i[h],u[h])}var p=z.bounds;if(z.autoBounds)for(h=0;h<3;++h){if(i[h]<r[h])r[h]=-1,i[h]=1;else{r[h]===i[h]&&(r[h]-=1,i[h]+=1);var m=.05*(i[h]-r[h]);r[h]=r[h]-m,i[h]=i[h]+m}p[0][h]=r[h],p[1][h]=i[h]}var v=!1;for(h=0;h<3;++h)v=v||V[0][h]!==p[0][h]||V[1][h]!==p[1][h],V[0][h]=p[0][h],V[1][h]=p[1][h];if(L=L||v,R=R||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((p[1][o]-p[0][o])/10);E.autoTicks?E.update({bounds:p,tickSpacing:y}):E.update({bounds:p})}var w=n.drawingBufferWidth,k=n.drawingBufferHeight;j[0]=w,j[1]=k,B[0]=0|Math.max(w/z.pixelRatio,1),B[1]=0|Math.max(k/z.pixelRatio,1),function(e,t){var n=e.bounds,r=e.cameraParams,i=r.projection,a=r.model,o=e.gl.drawingBufferWidth,s=e.gl.drawingBufferHeight,l=e.zNear,c=e.zFar,u=e.fovy,h=o/s;t?(d(i,-h,h,-1,1,l,c),r._ortho=!0):(f(i,u,h,l,c),r._ortho=!1);for(var p=0;p<16;++p)a[p]=0;a[15]=1;var m=0;for(p=0;p<3;++p)m=Math.max(m,n[1][p]-n[0][p]);for(p=0;p<3;++p)e.autoScale?a[5*p]=e.aspect[p]/(n[1][p]-n[0][p]):a[5*p]=1/m,e.autoCenter&&(a[12+p]=.5*-a[5*p]*(n[0][p]+n[1][p]))}(z,A);for(o=0;o<t;++o){(C=S[o]).axesBounds=p,z.clipToBounds&&(C.clipBounds=p)}b.object&&(z.snapToData?M.position=b.dataCoordinate:M.position=b.dataPosition,M.bounds=p),L&&(L=!1,function(){if(!H()){n.colorMask(!0,!0,!0,!0),n.depthMask(!0),n.disable(n.BLEND),n.enable(n.DEPTH_TEST),n.depthFunc(n.LEQUAL);for(var e=S.length,t=N.length,r=0;r<t;++r){var i=N[r];i.shape=B,i.begin();for(var a=0;a<e;++a)if(O[a]===r){var 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T=!1;E.enable&&(T=T||E.isTransparent(),E.draw(I)),M.axes=E,b.object&&M.draw(I),n.disable(n.CULL_FACE);for(o=0;o<t;++o){(C=S[o]).axes=E,C.pixelRatio=z.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(I),C.isTransparent&&C.isTransparent()&&(T=!0)}if(T){x.shape=j,x.bind(),n.clear(n.DEPTH_BUFFER_BIT),n.colorMask(!1,!1,!1,!1),n.depthMask(!0),n.depthFunc(n.LESS),E.enable&&E.isTransparent()&&E.drawTransparent(I);for(o=0;o<t;++o){(C=S[o]).isOpaque&&C.isOpaque()&&C.draw(I)}n.enable(n.BLEND),n.blendEquation(n.FUNC_ADD),n.blendFunc(n.ONE,n.ONE_MINUS_SRC_ALPHA),n.colorMask(!0,!0,!0,!0),n.depthMask(!1),n.clearColor(0,0,0,0),n.clear(n.COLOR_BUFFER_BIT),E.isTransparent()&&E.drawTransparent(I);for(o=0;o<t;++o){var C;(C=S[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(I)}n.bindFramebuffer(n.FRAMEBUFFER,null),n.blendFunc(n.ONE,n.ONE_MINUS_SRC_ALPHA),n.disable(n.DEPTH_TEST),_.bind(),x.color[0].bind(0),_.uniforms.accumBuffer=0,c(n),n.disable(n.BLEND)}R=!1;for(o=0;o<t;++o)S[o].dirty=!1}}}return z.enableMouseListeners(),function e(){if(z._stopped||z.contextLost)return;W(),requestAnimationFrame(e)}(),z.redraw=function(){z._stopped||(R=!0,W())},z},createCamera:r}},6640:function(e,t,n){var r=n(3236);t.pointVertex=r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),t.pointFragment=r(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),t.pickVertex=r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),t.pickFragment=r(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},4696:function(e,t,n){"use strict";var r=n(9405),i=n(2762),a=n(1888),o=n(6640);function s(e,t,n,r,i){this.plot=e,this.offsetBuffer=t,this.pickBuffer=n,this.shader=r,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(e,t){var n=e.gl,a=i(n),l=i(n),c=r(n,o.pointVertex,o.pointFragment),u=r(n,o.pickVertex,o.pickFragment),f=new s(e,a,l,c,u);return f.update(t),e.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(e){var t;function n(t,n){return t in e?e[t]:n}e=e||{},this.sizeMin=n("sizeMin",.5),this.sizeMax=n("sizeMax",20),this.color=n("color",[1,0,0,1]).slice(),this.areaRatio=n("areaRatio",1),this.borderColor=n("borderColor",[0,0,0,1]).slice(),this.blend=n("blend",!1);var r=e.positions.length>>>1,i=e.positions instanceof Float32Array,o=e.idToIndex instanceof Int32Array&&e.idToIndex.length>=r,s=e.positions,l=i?s:a.mallocFloat32(s.length),c=o?e.idToIndex:a.mallocInt32(r);if(i||l.set(s),!o)for(l.set(s),t=0;t<r;t++)c[t]=t;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=r,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(e){var t=void 0!==e,n=t?this.pickShader:this.shader,r=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return e;var a=i[2]-i[0],o=i[3]-i[1],s=function(e,t){var n,r=0,i=e.length>>>1;for(n=0;n<i;n++){var a=e[2*n],o=e[2*n+1];a>=t[0]&&a<=t[2]&&o>=t[1]&&o<=t[3]&&r++}return r}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),n.bind(),n.attributes.position.pointer(),n.uniforms.matrix=l,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointCloud=u<5,n.uniforms.pointSize=u,n.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),t&&(c[0]=255&e,c[1]=e>>8&255,c[2]=e>>16&255,c[3]=e>>24&255,this.pickBuffer.bind(),n.attributes.pickId.pointer(r.UNSIGNED_BYTE),n.uniforms.pickOffset=c,this.pickOffset=e);var f=r.getParameter(r.BLEND),d=r.getParameter(r.DITHER);return f&&!this.blend&&r.disable(r.BLEND),d&&r.disable(r.DITHER),r.drawArrays(r.POINTS,0,this.pointCount),f&&!this.blend&&r.enable(r.BLEND),d&&r.enable(r.DITHER),e+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(e,t,n){var r=this.pickOffset,i=this.pointCount;if(n<r||n>=r+i)return null;var a=n-r,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(e){e.exports=function(e,t,n,r){var i,a,o,s,l,c=t[0],u=t[1],f=t[2],d=t[3],h=n[0],p=n[1],m=n[2],g=n[3];(a=c*h+u*p+f*m+d*g)<0&&(a=-a,h=-h,p=-p,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-r)*i)/o,l=Math.sin(r*i)/o):(s=1-r,l=r);return e[0]=s*c+l*h,e[1]=s*u+l*p,e[2]=s*f+l*m,e[3]=s*d+l*g,e}},5964:function(e){"use strict";e.exports=function(e){return e||0===e?e.toString():""}},9366:function(e,t,n){"use strict";var r=n(4359);e.exports=function(e,t,n){var a=i[t];a||(a=i[t]={});if(e in a)return a[e];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:t,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=r(e,o);o.triangles=!1;var l,c,u=r(e,o);if(n&&1!==n){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=n;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=n}var f=[[1/0,1/0],[-1/0,-1/0]],d=u.positions.length;for(l=0;l<d;++l){var h=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],h[c]),f[1][c]=Math.max(f[1][c],h[c])}return a[e]=[s,u,f]};var i={}},1283:function(e,t,n){var r=n(9405),i=n(3236),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},d={vertex:o,fragment:l,attributes:u},h={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(e,t){var n=r(e,t),i=n.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,n}t.createPerspective=function(e){return v(e,f)},t.createOrtho=function(e){return v(e,d)},t.createProject=function(e){return v(e,h)},t.createPickPerspective=function(e){return v(e,p)},t.createPickOrtho=function(e){return v(e,m)},t.createPickProject=function(e){return v(e,g)}},8418:function(e,t,n){"use strict";var r=n(5219),i=n(2762),a=n(8116),o=n(1888),s=n(6760),l=n(1283),c=n(9366),u=n(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(e,t){var n=e[0],r=e[1],i=e[2],a=e[3];return e[0]=t[0]*n+t[4]*r+t[8]*i+t[12]*a,e[1]=t[1]*n+t[5]*r+t[9]*i+t[13]*a,e[2]=t[2]*n+t[6]*r+t[10]*i+t[14]*a,e[3]=t[3]*n+t[7]*r+t[11]*i+t[15]*a,e}function h(e,t,n,r){return d(r,r),d(r,r),d(r,r)}function p(e,t){this.index=e,this.dataCoordinate=this.position=t}function m(e){return!0===e||e>1?1:e}function g(e,t,n,r,i,a,o,s,l,c,u,f){this.gl=e,this.pixelRatio=1,this.shader=t,this.orthoShader=n,this.projectShader=r,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new p(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(e){var t=e.gl,n=l.createPerspective(t),r=l.createOrtho(t),o=l.createProject(t),s=l.createPickPerspective(t),c=l.createPickOrtho(t),u=l.createPickProject(t),f=i(t),d=i(t),h=i(t),p=i(t),m=a(t,[{buffer:f,size:3,type:t.FLOAT},{buffer:d,size:4,type:t.FLOAT},{buffer:h,size:2,type:t.FLOAT},{buffer:p,size:4,type:t.UNSIGNED_BYTE,normalized:!0}]),v=new g(t,n,r,o,f,d,h,p,m,s,c,u);return v.update(e),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(e){this.pickId=e},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var e=0;e<3;++e)if(this.axesProject[e]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var e=0;e<3;++e)if(this.axesProject[e]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],b=[0,0,0],x=[0,0,0],_=[0,0,0,1],A=[0,0,0,1],w=f.slice(),k=[0,0,0],E=[[0,0,0],[0,0,0]];function T(e){return e[0]=e[1]=e[2]=0,e}function M(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=1,e}function S(e,t,n,r){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[n]=r,e}function O(e,t,n,r){var i,a=t.axesProject,o=t.gl,l=e.uniforms,c=n.model||f,u=n.view||f,d=n.projection||f,p=t.axesBounds,m=function(e){for(var t=E,n=0;n<2;++n)for(var r=0;r<3;++r)t[n][r]=Math.max(Math.min(e[n][r],1e8),-1e8);return t}(t.clipBounds);i=t.axes&&t.axes.lastCubeProps?t.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,e.bind(),l.view=u,l.projection=d,l.screenSize=y,l.highlightId=t.highlightId,l.highlightScale=t.highlightScale,l.clipBounds=m,l.pickGroup=t.pickId/255,l.pixelRatio=r;for(var g=0;g<3;++g)if(a[g]){l.scale=t.projectScale[g],l.opacity=t.projectOpacity[g];for(var v=w,O=0;O<16;++O)v[O]=0;for(O=0;O<4;++O)v[5*O]=1;v[5*g]=0,i[g]<0?v[12+g]=p[0][g]:v[12+g]=p[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,N=(g+2)%3,R=T(b),L=T(x);R[C]=1,L[N]=1;var P=h(0,0,0,M(_,R)),D=h(0,0,0,M(A,L));if(Math.abs(P[1])>Math.abs(D[1])){var I=P;P=D,D=I,I=R,R=L,L=I;var j=C;C=N,N=j}P[0]<0&&(R[C]=-1),D[1]>0&&(L[N]=-1);var F=0,z=0;for(O=0;O<4;++O)F+=Math.pow(c[4*C+O],2),z+=Math.pow(c[4*N+O],2);R[C]/=Math.sqrt(F),L[N]/=Math.sqrt(z),l.axes[0]=R,l.axes[1]=L,l.fragClipBounds[0]=S(k,m[0],g,-1e8),l.fragClipBounds[1]=S(k,m[1],g,1e8),t.vao.bind(),t.vao.draw(o.TRIANGLES,t.vertexCount),t.lineWidth>0&&(o.lineWidth(t.lineWidth*r),t.vao.draw(o.LINES,t.lineVertexCount,t.vertexCount)),t.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function N(e,t,n,r,i,a,o){var s=n.gl;if((a===n.projectHasAlpha||o)&&O(t,n,r,i),a===n.hasAlpha||o){e.bind();var l=e.uniforms;l.model=r.model||f,l.view=r.view||f,l.projection=r.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=n.highlightId,l.highlightScale=n.highlightScale,l.fragClipBounds=C,l.clipBounds=n.axes.bounds,l.opacity=n.opacity,l.pickGroup=n.pickId/255,l.pixelRatio=i,n.vao.bind(),n.vao.draw(s.TRIANGLES,n.vertexCount),n.lineWidth>0&&(s.lineWidth(n.lineWidth*i),n.vao.draw(s.LINES,n.lineVertexCount,n.vertexCount)),n.vao.unbind()}}function R(e,t,n,i){var a;a=Array.isArray(e)?t<e.length?e[t]:void 0:e,a=u(a);var o=!0;r(a)&&(a="▼",o=!1);var s=c(a,n,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(e){N(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,e,this.pixelRatio,!1,!1)},v.drawTransparent=function(e){N(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,e,this.pixelRatio,!0,!1)},v.drawPick=function(e){N(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,e,1,!0,!0)},v.pick=function(e){if(!e)return null;if(e.id!==this.pickId)return null;var t=e.value[2]+(e.value[1]<<8)+(e.value[0]<<16);if(t>=this.pointCount||t<0)return null;var n=this.points[t],r=this._selectResult;r.index=t;for(var i=0;i<3;++i)r.position[i]=r.dataCoordinate[i]=n[i];return r},v.highlight=function(e){if(e){var t=e.index,n=255&t,r=t>>8&255,i=t>>16&255;this.highlightId=[n/255,r/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(e){if("perspective"in(e=e||{})&&(this.useOrtho=!e.perspective),"orthographic"in e&&(this.useOrtho=!!e.orthographic),"lineWidth"in e&&(this.lineWidth=e.lineWidth),"project"in e)if(Array.isArray(e.project))this.axesProject=e.project;else{var t=!!e.project;this.axesProject=[t,t,t]}if("projectScale"in e)if(Array.isArray(e.projectScale))this.projectScale=e.projectScale.slice();else{var n=+e.projectScale;this.projectScale=[n,n,n]}if(this.projectHasAlpha=!1,"projectOpacity"in e){if(Array.isArray(e.projectOpacity))this.projectOpacity=e.projectOpacity.slice();else{n=+e.projectOpacity;this.projectOpacity=[n,n,n]}for(var r=0;r<3;++r)this.projectOpacity[r]=m(this.projectOpacity[r]),this.projectOpacity[r]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in e&&(this.opacity=m(e.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=e.position,l=e.font||"normal",c=e.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(r=0;r<c.length;++r)i[r]=c[r][0],a[r]=c[r][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],d=e.glyph,h=e.color,p=e.size,g=e.angle,v=e.lineColor,y=-1,b=0,x=0,_=0;if(s.length){_=s.length;e:for(r=0;r<_;++r){for(var A=s[r],w=0;w<3;++w)if(isNaN(A[w])||!isFinite(A[w]))continue e;var k=(z=R(d,r,l,this.pixelRatio)).mesh,E=z.lines,T=z.bounds;b+=3*k.cells.length,x+=2*E.edges.length}}var M=b+x,S=o.mallocFloat(3*M),O=o.mallocFloat(4*M),C=o.mallocFloat(2*M),N=o.mallocUint32(M);if(M>0){var L=0,P=b,D=[0,0,0,1],I=[0,0,0,1],j=Array.isArray(h)&&Array.isArray(h[0]),F=Array.isArray(v)&&Array.isArray(v[0]);e:for(r=0;r<_;++r){y+=1;for(A=s[r],w=0;w<3;++w){if(isNaN(A[w])||!isFinite(A[w]))continue e;f[w]=Math.max(f[w],A[w]),u[w]=Math.min(u[w],A[w])}k=(z=R(d,r,l,this.pixelRatio)).mesh,E=z.lines,T=z.bounds;var z,B=z.visible;if(B)if(Array.isArray(h)){if(3===(U=j?r<h.length?h[r]:[0,0,0,0]:h).length){for(w=0;w<3;++w)D[w]=U[w];D[3]=1}else if(4===U.length){for(w=0;w<4;++w)D[w]=U[w];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(B)if(Array.isArray(v)){var U;if(3===(U=F?r<v.length?v[r]:[0,0,0,0]:v).length){for(w=0;w<3;++w)I[w]=U[w];I[w]=1}else if(4===U.length){for(w=0;w<4;++w)I[w]=U[w];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else I[0]=I[1]=I[2]=0,I[3]=1;else I=[1,1,1,0];var $=.5;B?Array.isArray(p)?$=r<p.length?+p[r]:12:p?$=+p:this.useOrtho&&($=12):$=0;var H=0;Array.isArray(g)?H=r<g.length?+g[r]:0:g&&(H=+g);var q=Math.cos(H),V=Math.sin(H);for(A=s[r],w=0;w<3;++w)f[w]=Math.max(f[w],A[w]),u[w]=Math.min(u[w],A[w]);var W=i,G=a;W=0;Array.isArray(i)?W=r<i.length?i[r]:0:i&&(W=i);G=0;Array.isArray(a)?G=r<a.length?a[r]:0:a&&(G=a);var Y=[W*=W>0?1-T[0][0]:W<0?1+T[1][0]:1,G*=G>0?1-T[0][1]:G<0?1+T[1][1]:1],X=k.cells||[],K=k.positions||[];for(w=0;w<X.length;++w)for(var Z=X[w],J=0;J<3;++J){for(var Q=0;Q<3;++Q)S[3*L+Q]=A[Q];for(Q=0;Q<4;++Q)O[4*L+Q]=D[Q];N[L]=y;var ee=K[Z[J]];C[2*L]=$*(q*ee[0]-V*ee[1]+Y[0]),C[2*L+1]=$*(V*ee[0]+q*ee[1]+Y[1]),L+=1}for(X=E.edges,K=E.positions,w=0;w<X.length;++w)for(Z=X[w],J=0;J<2;++J){for(Q=0;Q<3;++Q)S[3*P+Q]=A[Q];for(Q=0;Q<4;++Q)O[4*P+Q]=I[Q];N[P]=y;ee=K[Z[J]];C[2*P]=$*(q*ee[0]-V*ee[1]+Y[0]),C[2*P+1]=$*(V*ee[0]+q*ee[1]+Y[1]),P+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=b,this.lineVertexCount=x,this.pointBuffer.update(S),this.colorBuffer.update(O),this.glyphBuffer.update(C),this.idBuffer.update(N),o.free(S),o.free(O),o.free(C),o.free(N)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},4298:function(e,t,n){"use strict";var r=n(3236);t.boxVertex=r(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),t.boxFragment=r(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},3161:function(e,t,n){"use strict";var r=n(9405),i=n(2762),a=n(4298);function o(e,t,n){this.plot=e,this.boxBuffer=t,this.boxShader=n,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(e,t){var n=e.gl,s=i(n,[0,0,0,1,1,0,1,1]),l=r(n,a.boxVertex,a.boxFragment),c=new o(e,s,l);return c.update(t),e.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var e=this.plot,t=this.selectBox,n=this.borderWidth,r=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=e.box,s=e.screenBox,l=e.dataBox,c=e.viewBox,u=e.pixelRatio,f=(t[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(t[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],h=(t[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],p=(t[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),d=Math.max(d,c[1]),h=Math.min(h,c[2]),p=Math.min(p,c[3]),!(h<f||p<d)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,d,i),o.drawBox(0,d,f,p,i),o.drawBox(0,p,m,g,i),o.drawBox(h,d,m,p,i)),this.innerFill&&o.drawBox(f,d,h,p,r),n>0){var v=n*u;o.drawBox(f-v,d-v,h+v,d+v,a),o.drawBox(f-v,p-v,h+v,p+v,a),o.drawBox(f-v,d-v,f+v,p+v,a),o.drawBox(h-v,d-v,h+v,p+v,a)}}}},s.update=function(e){e=e||{},this.innerFill=!!e.innerFill,this.outerFill=!!e.outerFill,this.innerColor=(e.innerColor||[0,0,0,.5]).slice(),this.outerColor=(e.outerColor||[0,0,0,.5]).slice(),this.borderColor=(e.borderColor||[0,0,0,1]).slice(),this.borderWidth=e.borderWidth||0,this.selectBox=(e.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},3589:function(e,t,n){"use strict";e.exports=function(e,t){var n=t[0],a=t[1],o=r(e,n,a,{}),s=i.mallocUint8(n*a*4);return new l(e,o,s)};var r=n(2260),i=n(1888),a=n(9618),o=n(8828).nextPow2;function s(e,t,n,r,i){this.coord=[e,t],this.id=n,this.value=r,this.distance=i}function l(e,t,n){this.gl=e,this.fbo=t,this.buffer=n,this._readTimeout=null;var 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l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(e){},l.draw=function(e){var t=this.gl,n=this.vao,r=this.shader;n.bind(),r.bind();var i,a=e.model||o,s=e.view||o,l=e.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var d=c,h=u,p=0;p<3;++p)i&&i[p]<0?(d[p]=this.bounds[0][p],h[p]=this.bounds[1][p]):(d[p]=this.bounds[1][p],h[p]=this.bounds[0][p]);f[0]=t.drawingBufferWidth,f[1]=t.drawingBufferHeight,r.uniforms.model=a,r.uniforms.view=s,r.uniforms.projection=l,r.uniforms.coordinates=[this.position,d,h],r.uniforms.colors=this.colors,r.uniforms.screenShape=f;for(p=0;p<3;++p)r.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(n.draw(t.TRIANGLES,6,6*p),this.drawSides[p]&&n.draw(t.TRIANGLES,12,18+12*p));n.unbind()},l.update=function(e){e&&("bounds"in e&&(this.bounds=e.bounds),"position"in e&&(this.position=e.position),"lineWidth"in e&&(this.lineWidth=e.lineWidth),"colors"in e&&(this.colors=e.colors),"enabled"in e&&(this.enabled=e.enabled),"drawSides"in e&&(this.drawSides=e.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6740:function(e,t,n){var r=n(3236),i=r(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=r(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=r(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=r(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);t.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},t.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7815:function(e,t,n){"use strict";var r=n(2931),i=n(9970),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(e,t,n,a){for(var o=0,s=0;s<e.length;s++)for(var l=e[s].velocities,c=0;c<l.length;c++)o=Math.max(o,r.length(l[c]));var u=e.map((function(e){return function(e,t,n,a){for(var o=e.points,s=e.velocities,l=e.divergences,c=[],u=[],f=[],d=[],h=[],p=[],m=0,g=0,v=i.create(),y=i.create(),b=0;b<o.length;b++){var x=o[b],_=s[b],A=l[b];0===t&&(A=.05*n),g=r.length(_)/a,v=i.create(),r.copy(v,_),v[3]=A;for(var w=0;w<8;w++)h[w]=[x[0],x[1],x[2],w];if(d.length>0)for(w=0;w<8;w++){var k=(w+1)%8;c.push(d[w],h[w],h[k],h[k],d[k],d[w]),f.push(y,v,v,v,y,y),p.push(m,g,g,g,m,m);var E=c.length;u.push([E-6,E-5,E-4],[E-3,E-2,E-1])}var T=d;d=h,h=T;var M=y;y=v,v=M;var S=m;m=g,g=S}return{positions:c,cells:u,vectors:f,vertexIntensity:p}}(e,n,a,o)})),f=[],d=[],h=[],p=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),h=h.concat(m.vectors),p=p.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];d.push(y);for(var b=0;b<v.length;b++)y.push(v[b]+g)}}return{positions:f,cells:d,vectors:h,vertexIntensity:p,colormap:t}},s=function(e,t){var n,r=e.length;for(n=0;n<r;n++){var i=e[n];if(i===t)return n;if(i>t)return n-1}return n},l=function(e,t,n){return e<t?t:e>n?n:e},c=function(e){var t=1/0;e.sort((function(e,t){return e-t}));for(var n=e.length,r=1;r<n;r++){var i=Math.abs(e[r]-e[r-1]);i<t&&(t=i)}return t};e.exports=function(e,t){var n=e.startingPositions,i=e.maxLength||1e3,u=e.tubeSize||1,f=e.absoluteTubeSize,d=e.gridFill||"+x+y+z",h={};-1!==d.indexOf("-x")&&(h.reversedX=!0),-1!==d.indexOf("-y")&&(h.reversedY=!0),-1!==d.indexOf("-z")&&(h.reversedZ=!0),h.filled=a.indexOf(d.replace(/-/g,"").replace(/\+/g,""));var p=e.getVelocity||function(t){return function(e,t,n){var i=t.vectors,a=t.meshgrid,o=e[0],c=e[1],u=e[2],f=a[0].length,d=a[1].length,h=a[2].length,p=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=p+1,y=m+1,b=g+1;if(p=l(p,0,f-1),v=l(v,0,f-1),m=l(m,0,d-1),y=l(y,0,d-1),g=l(g,0,h-1),b=l(b,0,h-1),p<0||m<0||g<0||v>f-1||y>d-1||b>h-1)return r.create();var x,_,A,w,k,E,T=a[0][p],M=a[0][v],S=a[1][m],O=a[1][y],C=a[2][g],N=(o-T)/(M-T),R=(c-S)/(O-S),L=(u-C)/(a[2][b]-C);switch(isFinite(N)||(N=.5),isFinite(R)||(R=.5),isFinite(L)||(L=.5),n.reversedX&&(p=f-1-p,v=f-1-v),n.reversedY&&(m=d-1-m,y=d-1-y),n.reversedZ&&(g=h-1-g,b=h-1-b),n.filled){case 5:k=g,E=b,A=m*h,w=y*h,x=p*h*d,_=v*h*d;break;case 4:k=g,E=b,x=p*h,_=v*h,A=m*h*f,w=y*h*f;break;case 3:A=m,w=y,k=g*d,E=b*d,x=p*d*h,_=v*d*h;break;case 2:A=m,w=y,x=p*d,_=v*d,k=g*d*f,E=b*d*f;break;case 1:x=p,_=v,k=g*f,E=b*f,A=m*f*h,w=y*f*h;break;default:x=p,_=v,A=m*f,w=y*f,k=g*f*d,E=b*f*d}var P=i[x+A+k],D=i[x+A+E],I=i[x+w+k],j=i[x+w+E],F=i[_+A+k],z=i[_+A+E],B=i[_+w+k],U=i[_+w+E],$=r.create(),H=r.create(),q=r.create(),V=r.create();r.lerp($,P,F,N),r.lerp(H,D,z,N),r.lerp(q,I,B,N),r.lerp(V,j,U,N);var W=r.create(),G=r.create();r.lerp(W,$,q,R),r.lerp(G,H,V,R);var Y=r.create();return r.lerp(Y,W,G,L),Y}(t,e,h)},m=e.getDivergence||function(e,t){var n=r.create(),i=1e-4;r.add(n,e,[i,0,0]);var a=p(n);r.subtract(a,a,t),r.scale(a,a,1/i),r.add(n,e,[0,i,0]);var o=p(n);r.subtract(o,o,t),r.scale(o,o,1/i),r.add(n,e,[0,0,i]);var s=p(n);return r.subtract(s,s,t),r.scale(s,s,1/i),r.add(n,a,o),r.add(n,n,s),n},g=[],v=t[0][0],y=t[0][1],b=t[0][2],x=t[1][0],_=t[1][1],A=t[1][2],w=function(e){var t=e[0],n=e[1],r=e[2];return!(t<v||t>x||n<y||n>_||r<b||r>A)},k=10*r.distance(t[0],t[1])/i,E=k*k,T=1,M=0,S=n.length;S>1&&(T=function(e){for(var t=[],n=[],r=[],i={},a={},o={},s=e.length,l=0;l<s;l++){var u=e[l],f=u[0],d=u[1],h=u[2];i[f]||(t.push(f),i[f]=!0),a[d]||(n.push(d),a[d]=!0),o[h]||(r.push(h),o[h]=!0)}var p=c(t),m=c(n),g=c(r),v=Math.min(p,m,g);return isFinite(v)?v:1}(n));for(var O=0;O<S;O++){var C=r.create();r.copy(C,n[O]);var N=[C],R=[],L=p(C),P=C;R.push(L);var D=[],I=m(C,L),j=r.length(I);isFinite(j)&&j>M&&(M=j),D.push(j),g.push({points:N,velocities:R,divergences:D});for(var F=0;F<100*i&&N.length<i&&w(C);){F++;var z=r.clone(L),B=r.squaredLength(z);if(0===B)break;if(B>E&&r.scale(z,z,k/Math.sqrt(B)),r.add(z,z,C),L=p(z),r.squaredDistance(P,z)-E>-1e-4*E){N.push(z),P=z,R.push(L);I=m(z,L),j=r.length(I);isFinite(j)&&j>M&&(M=j),D.push(j)}C=z}}var U=o(g,e.colormap,M,T);return f?U.tubeScale=f:(0===M&&(M=1),U.tubeScale=.5*u*T/M),U};var u=n(6740),f=n(6405).createMesh;e.exports.createTubeMesh=function(e,t){return f(e,t,{shaders:u,traceType:"streamtube"})}},990:function(e,t,n){var r=n(9405),i=n(3236),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);t.createShader=function(e){var t=r(e,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return t.attributes.uv.location=0,t.attributes.f.location=1,t.attributes.normal.location=2,t},t.createPickShader=function(e){var t=r(e,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return t.attributes.uv.location=0,t.attributes.f.location=1,t.attributes.normal.location=2,t},t.createContourShader=function(e){var t=r(e,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return t.attributes.uv.location=0,t.attributes.f.location=1,t},t.createPickContourShader=function(e){var t=r(e,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return t.attributes.uv.location=0,t.attributes.f.location=1,t}},9499:function(e,t,n){"use strict";e.exports=function(e){var t=e.gl,n=y(t),r=x(t),s=b(t),l=_(t),c=i(t),u=a(t,[{buffer:c,size:4,stride:A,offset:0},{buffer:c,size:3,stride:A,offset:16},{buffer:c,size:3,stride:A,offset:28}]),f=i(t),d=a(t,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),h=i(t),p=a(t,[{buffer:h,size:2,type:t.FLOAT}]),m=o(t,1,M,t.RGBA,t.UNSIGNED_BYTE);m.minFilter=t.LINEAR,m.magFilter=t.LINEAR;var g=new S(t,[0,0],[[0,0,0],[0,0,0]],n,r,c,u,m,s,l,f,d,h,p,[0,0,0]),v={levels:[[],[],[]]};for(var w in e)v[w]=e[w];return v.colormap=v.colormap||"jet",g.update(v),g};var r=n(8828),i=n(2762),a=n(8116),o=n(7766),s=n(1888),l=n(6729),c=n(5298),u=n(9994),f=n(9618),d=n(3711),h=n(6760),p=n(7608),m=n(2478),g=n(6199),v=n(990),y=v.createShader,b=v.createContourShader,x=v.createPickShader,_=v.createPickContourShader,A=40,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],E=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function T(e,t,n,r,i){this.position=e,this.index=t,this.uv=n,this.level=r,this.dataCoordinate=i}!function(){for(var e=0;e<3;++e){var t=E[e],n=(e+2)%3;t[(e+1)%3+0]=1,t[n+3]=1,t[e+6]=1}}();var M=256;function S(e,t,n,r,i,a,o,l,c,u,d,h,p,m,g){this.gl=e,this.shape=t,this.bounds=n,this.objectOffset=g,this.intensityBounds=[],this._shader=r,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=d,this._contourVAO=h,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new T([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=p,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var O=S.prototype;O.genColormap=function(e,t){var n=!1,r=u([l({colormap:e,nshades:M,format:"rgba"}).map((function(e,r){var i=t?function(e,t){if(!t)return 1;if(!t.length)return 1;for(var n=0;n<t.length;++n){if(t.length<2)return 1;if(t[n][0]===e)return t[n][1];if(t[n][0]>e&&n>0){var r=(t[n][0]-e)/(t[n][0]-t[n-1][0]);return t[n][1]*(1-r)+r*t[n-1][1]}}return 1}(r/255,t):e[3];return i<1&&(n=!0),[e[0],e[1],e[2],255*i]}))]);return c.divseq(r,255),this.hasAlphaScale=n,r},O.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},O.isOpaque=function(){return!this.isTransparent()},O.pickSlots=1,O.setPickBase=function(e){this.pickId=e};var C=[0,0,0],N={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function R(e,t){var n,r,i,a=t.axes&&t.axes.lastCubeProps.axis||C,o=t.showSurface,s=t.showContour;for(n=0;n<3;++n)for(o=o||t.surfaceProject[n],r=0;r<3;++r)s=s||t.contourProject[n][r];for(n=0;n<3;++n){var l=N.projections[n];for(r=0;r<16;++r)l[r]=0;for(r=0;r<4;++r)l[5*r]=1;l[5*n]=0,l[12+n]=t.axesBounds[+(a[n]>0)][n],h(l,e.model,l);var c=N.clipBounds[n];for(i=0;i<2;++i)for(r=0;r<3;++r)c[i][r]=e.clipBounds[i][r];c[0][n]=-1e8,c[1][n]=1e8}return N.showSurface=o,N.showContour=s,N}var L={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},P=w.slice(),D=[1,0,0,0,1,0,0,0,1];function I(e,t){e=e||{};var n=this.gl;n.disable(n.CULL_FACE),this._colorMap.bind(0);var r=L;r.model=e.model||w,r.view=e.view||w,r.projection=e.projection||w,r.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],r.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],r.objectOffset=this.objectOffset,r.contourColor=this.contourColor[0],r.inverseModel=p(r.inverseModel,r.model);for(var i=0;i<2;++i)for(var a=r.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);r.kambient=this.ambientLight,r.kdiffuse=this.diffuseLight,r.kspecular=this.specularLight,r.roughness=this.roughness,r.fresnel=this.fresnel,r.opacity=this.opacity,r.height=0,r.permutation=D,r.vertexColor=this.vertexColor;var s=P;for(h(s,r.view,r.model),h(s,r.projection,s),p(s,s),i=0;i<3;++i)r.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];r.lightPosition[i]=c/l}var u=R(r,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=r,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(n.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(n.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;r.kambient=1,r.kdiffuse=0,r.kspecular=0,r.opacity=1,f.bind(),f.uniforms=r;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=E[i],n.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],d.draw(n.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=E[o],n.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],d.draw(n.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(d.unbind(),(d=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=r.model,f.uniforms.clipBounds=r.clipBounds,f.uniforms.permutation=E[i],n.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(n.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],d.draw(n.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}O.draw=function(e){return I.call(this,e,!1)},O.drawTransparent=function(e){return I.call(this,e,!0)};var j={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function F(e,t){return Array.isArray(e)?[t(e[0]),t(e[1]),t(e[2])]:[t(e),t(e),t(e)]}function z(e){return Array.isArray(e)?3===e.length?[e[0],e[1],e[2],1]:[e[0],e[1],e[2],e[3]]:[0,0,0,1]}function B(e){if(Array.isArray(e)){if(Array.isArray(e))return[z(e[0]),z(e[1]),z(e[2])];var t=z(e);return[t.slice(),t.slice(),t.slice()]}}O.drawPick=function(e){e=e||{};var t=this.gl;t.disable(t.CULL_FACE);var n=j;n.model=e.model||w,n.view=e.view||w,n.projection=e.projection||w,n.shape=this._field[2].shape,n.pickId=this.pickId/255,n.lowerBound=this.bounds[0],n.upperBound=this.bounds[1],n.objectOffset=this.objectOffset,n.permutation=D;for(var r=0;r<2;++r)for(var i=n.clipBounds[r],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[r][a],-1e8),1e8);var o=R(n,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=n,this._vao.bind(),this._vao.draw(t.TRIANGLES,this._vertexCount),r=0;r<3;++r)this.surfaceProject[r]&&(this._pickShader.uniforms.model=o.projections[r],this._pickShader.uniforms.clipBounds=o.clipBounds[r],this._vao.draw(t.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=n;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(t.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=E[a],r=0;r<this.contourLevels[a].length;++r)this._contourCounts[a][r]&&(s.uniforms.height=this.contourLevels[a][r],l.draw(t.LINES,this._contourCounts[a][r],this._contourOffsets[a][r]));for(r=0;r<3;++r)for(s.uniforms.model=o.projections[r],s.uniforms.clipBounds=o.clipBounds[r],a=0;a<3;++a)if(this.contourProject[r][a]){s.uniforms.permutation=E[a],t.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(t.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},O.pick=function(e){if(!e)return null;if(e.id!==this.pickId)return null;var t=this._field[2].shape,n=this._pickResult,r=t[0]*(e.value[0]+(e.value[2]>>4)/16)/255,i=Math.floor(r),a=r-i,o=t[1]*(e.value[1]+(15&e.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=n.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,d=0;d<2;++d)for(var h=i+u,p=s+d,g=f*(d?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(h,p)*g;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=m.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-c[b])>Math.abs(_-c[b])&&(y[b]+=1)}for(n.index[0]=a<.5?i:i+1,n.index[1]=l<.5?s:s+1,n.uv[0]=r/t[0],n.uv[1]=o/t[1],v=0;v<3;++v)n.dataCoordinate[v]=this._field[v].get(n.index[0],n.index[1]);return n},O.padField=function(e,t){var n=t.shape.slice(),r=e.shape.slice();c.assign(e.lo(1,1).hi(n[0],n[1]),t),c.assign(e.lo(1).hi(n[0],1),t.hi(n[0],1)),c.assign(e.lo(1,r[1]-1).hi(n[0],1),t.lo(0,n[1]-1).hi(n[0],1)),c.assign(e.lo(0,1).hi(1,n[1]),t.hi(1)),c.assign(e.lo(r[0]-1,1).hi(1,n[1]),t.lo(n[0]-1)),e.set(0,0,t.get(0,0)),e.set(0,r[1]-1,t.get(0,n[1]-1)),e.set(r[0]-1,0,t.get(n[0]-1,0)),e.set(r[0]-1,r[1]-1,t.get(n[0]-1,n[1]-1))},O.update=function(e){e=e||{},this.objectOffset=e.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in e&&(this.contourWidth=F(e.contourWidth,Number)),"showContour"in e&&(this.showContour=F(e.showContour,Boolean)),"showSurface"in e&&(this.showSurface=!!e.showSurface),"contourTint"in e&&(this.contourTint=F(e.contourTint,Boolean)),"contourColor"in e&&(this.contourColor=B(e.contourColor)),"contourProject"in e&&(this.contourProject=F(e.contourProject,(function(e){return F(e,Boolean)}))),"surfaceProject"in e&&(this.surfaceProject=e.surfaceProject),"dynamicColor"in e&&(this.dynamicColor=B(e.dynamicColor)),"dynamicTint"in e&&(this.dynamicTint=F(e.dynamicTint,Number)),"dynamicWidth"in e&&(this.dynamicWidth=F(e.dynamicWidth,Number)),"opacity"in e&&(this.opacity=e.opacity),"opacityscale"in e&&(this.opacityscale=e.opacityscale),"colorBounds"in e&&(this.colorBounds=e.colorBounds),"vertexColor"in e&&(this.vertexColor=e.vertexColor?1:0),"colormap"in e&&this._colorMap.setPixels(this.genColormap(e.colormap,this.opacityscale));var t=e.field||e.coords&&e.coords[2]||null,n=!1;if(t||(t=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in e||"coords"in e){var i=(t.shape[0]+2)*(t.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(r.nextPow2(i))),this._field[2]=f(this._field[2].data,[t.shape[0]+2,t.shape[1]+2]),this.padField(this._field[2],t),this.shape=t.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(e.coords){var l=e.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(e.ticks){var u=e.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var h=u[o];if((Array.isArray(h)||h.length)&&(h=f(h)),h.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var p=f(h.data,a);p.stride[o]=h.stride[0],p.stride[1^o]=0,this.padField(this._field[o],p)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,b=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(b.pick(o),y[o],"mirror");var x=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=b.get(0,o,v,0),A=b.get(0,o,v,1),w=b.get(1,o,v,0),E=b.get(1,o,v,1),T=b.get(2,o,v,0),M=b.get(2,o,v,1),S=w*M-E*T,O=T*A-M*_,C=_*E-A*w,N=Math.sqrt(S*S+O*O+C*C);N<1e-8?(N=Math.max(Math.abs(S),Math.abs(O),Math.abs(C)))<1e-8?(C=1,O=S=0,N=1):N=1/N:N=1/Math.sqrt(N),x.set(o,v,0,S*N),x.set(o,v,1,O*N),x.set(o,v,2,C*N)}s.free(b.data);var R=[1/0,1/0,1/0],L=[-1/0,-1/0,-1/0],P=1/0,D=-1/0,I=(a[0]-1)*(a[1]-1)*6,j=s.mallocFloat(r.nextPow2(10*I)),z=0,U=0;for(o=0;o<a[0]-1;++o)e:for(v=0;v<a[1]-1;++v){for(var $=0;$<2;++$)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var V=this._field[q].get(1+o+$,1+v+H);if(isNaN(V)||!isFinite(V))continue e}for(q=0;q<6;++q){var W=o+k[q][0],G=v+k[q][1],Y=this._field[0].get(W+1,G+1),X=this._field[1].get(W+1,G+1);V=this._field[2].get(W+1,G+1),S=x.get(W+1,G+1,0),O=x.get(W+1,G+1,1),C=x.get(W+1,G+1,2),e.intensity&&(K=e.intensity.get(W,G));var K=e.intensity?e.intensity.get(W,G):V+this.objectOffset[2];j[z++]=W,j[z++]=G,j[z++]=Y,j[z++]=X,j[z++]=V,j[z++]=0,j[z++]=K,j[z++]=S,j[z++]=O,j[z++]=C,R[0]=Math.min(R[0],Y+this.objectOffset[0]),R[1]=Math.min(R[1],X+this.objectOffset[1]),R[2]=Math.min(R[2],V+this.objectOffset[2]),P=Math.min(P,K),L[0]=Math.max(L[0],Y+this.objectOffset[0]),L[1]=Math.max(L[1],X+this.objectOffset[1]),L[2]=Math.max(L[2],V+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(e.intensityBounds&&(P=+e.intensityBounds[0],D=+e.intensityBounds[1]),o=6;o<z;o+=10)j[o]=(j[o]-P)/(D-P);this._vertexCount=U,this._coordinateBuffer.update(j.subarray(0,z)),s.freeFloat(j),s.free(x.data),this.bounds=[R,L],this.intensity=e.intensity||this._field[2],this.intensityBounds[0]===P&&this.intensityBounds[1]===D||(n=!0),this.intensityBounds=[P,D]}if("levels"in e){var Z=e.levels;for(Z=Array.isArray(Z[0])?Z.slice():[[],[],Z],o=0;o<3;++o)Z[o]=Z[o].slice(),Z[o].sort((function(e,t){return e-t}));for(o=0;o<3;++o)for(v=0;v<Z[o].length;++v)Z[o][v]-=this.objectOffset[o];e:for(o=0;o<3;++o){if(Z[o].length!==this.contourLevels[o].length){n=!0;break}for(v=0;v<Z[o].length;++v)if(Z[o][v]!==this.contourLevels[o][v]){n=!0;break e}}this.contourLevels=Z}if(n){y=this._field,a=this.shape;for(var J=[],Q=0;Q<3;++Q){var ee=this.contourLevels[Q],te=[],ne=[],re=[0,0,0];for(o=0;o<ee.length;++o){var ie=d(this._field[Q],ee[o]);te.push(J.length/5|0),U=0;e:for(v=0;v<ie.cells.length;++v){var ae=ie.cells[v];for(q=0;q<2;++q){var oe=ie.positions[ae[q]],se=oe[0],le=0|Math.floor(se),ce=se-le,ue=oe[1],fe=0|Math.floor(ue),de=ue-fe,he=!1;t:for(var pe=0;pe<3;++pe){re[pe]=0;var me=(Q+pe+1)%3;for($=0;$<2;++$){var ge=$?ce:1-ce;for(W=0|Math.min(Math.max(le+$,0),a[0]),H=0;H<2;++H){var ve=H?de:1-de;if(G=0|Math.min(Math.max(fe+H,0),a[1]),V=pe<2?this._field[me].get(W,G):(this.intensity.get(W,G)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(V)||isNaN(V)){he=!0;break t}var ye=ge*ve;re[pe]+=ye*V}}}if(he){if(q>0){for(var be=0;be<5;++be)J.pop();U-=1}continue e}J.push(re[0],re[1],oe[0],oe[1],re[2]),U+=1}}ne.push(U)}this._contourOffsets[Q]=te,this._contourCounts[Q]=ne}var xe=s.mallocFloat(J.length);for(o=0;o<J.length;++o)xe[o]=J[o];this._contourBuffer.update(xe),s.freeFloat(xe)}},O.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var e=0;e<3;++e)s.freeFloat(this._field[e].data)},O.highlight=function(e){var t,n;if(!e)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(t=0;t<3;++t)this.enableHighlight[t]?this.highlightLevel[t]=e.level[t]:this.highlightLevel[t]=-1;for(n=this.snapToData?e.dataCoordinate:e.position,t=0;t<3;++t)n[t]-=this.objectOffset[t];if(this.enableDynamic[0]&&n[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&n[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&n[2]!==this.dynamicLevel[2]){for(var r=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=n[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],h=this._field[c],p=d(u,n[o]),m=p.cells,g=p.positions;for(this._dynamicOffsets[o]=r,t=0;t<m.length;++t)for(var v=m[t],y=0;y<2;++y){var b=g[v[y]],x=+b[0],_=0|x,A=0|Math.min(_+1,i[0]),w=x-_,k=1-w,E=+b[1],T=0|E,M=0|Math.min(T+1,i[1]),S=E-T,O=1-S,C=k*O,N=k*S,R=w*O,L=w*S,P=C*f.get(_,T)+N*f.get(_,M)+R*f.get(A,T)+L*f.get(A,M),D=C*h.get(_,T)+N*h.get(_,M)+R*h.get(A,T)+L*h.get(A,M);if(isNaN(P)||isNaN(D)){y&&(r-=1);break}a[2*r+0]=P,a[2*r+1]=D,r+=1}this._dynamicCounts[o]=r-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*r)),s.freeFloat(a)}}},7766:function(e,t,n){"use strict";var r=n(9618),i=n(5298),a=n(1888);e.exports=function(e){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||function(e){o=[e.LINEAR,e.NEAREST_MIPMAP_LINEAR,e.LINEAR_MIPMAP_NEAREST,e.LINEAR_MIPMAP_NEAREST],s=[e.NEAREST,e.LINEAR,e.NEAREST_MIPMAP_NEAREST,e.NEAREST_MIPMAP_LINEAR,e.LINEAR_MIPMAP_NEAREST,e.LINEAR_MIPMAP_LINEAR],l=[e.REPEAT,e.CLAMP_TO_EDGE,e.MIRRORED_REPEAT]}(e);if("number"==typeof arguments[1])return g(e,arguments[1],arguments[2],arguments[3]||e.RGBA,arguments[4]||e.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(e,0|arguments[1][0],0|arguments[1][1],arguments[2]||e.RGBA,arguments[3]||e.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var t=arguments[1],n=c(t)?t:t.raw;if(n)return function(e,t,n,r,i,a){var o=m(e);return e.texImage2D(e.TEXTURE_2D,0,i,i,a,t),new d(e,o,n,r,i,a)}(e,n,0|t.width,0|t.height,arguments[2]||e.RGBA,arguments[3]||e.UNSIGNED_BYTE);if(t.shape&&t.data&&t.stride)return function(e,t){var n=t.dtype,o=t.shape.slice(),s=e.getParameter(e.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=p(o,t.stride.slice()),c=0;"float32"===n?c=e.FLOAT:"float64"===n?(c=e.FLOAT,l=!1,n="float32"):"uint8"===n?c=e.UNSIGNED_BYTE:(c=e.UNSIGNED_BYTE,l=!1,n="uint8");var f,h,g=0;if(2===o.length)g=e.LUMINANCE,o=[o[0],o[1],1],t=r(t.data,o,[t.stride[0],t.stride[1],1],t.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=e.ALPHA;else if(2===o[2])g=e.LUMINANCE_ALPHA;else if(3===o[2])g=e.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=e.RGBA}}c!==e.FLOAT||e.getExtension("OES_texture_float")||(c=e.UNSIGNED_BYTE,l=!1);var v=t.size;if(l)f=0===t.offset&&t.data.length===v?t.data:t.data.subarray(t.offset,t.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,n);var b=r(h,o,y,0);"float32"!==n&&"float64"!==n||c!==e.UNSIGNED_BYTE?i.assign(b,t):u(b,t),f=h.subarray(0,v)}var x=m(e);e.texImage2D(e.TEXTURE_2D,0,g,o[0],o[1],0,g,c,f),l||a.free(h);return new d(e,x,o[0],o[1],g,c)}(e,t)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(e){return"undefined"!=typeof HTMLCanvasElement&&e instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&e instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&e instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&e instanceof ImageData}var u=function(e,t){i.muls(e,t,255)};function f(e,t,n){var r=e.gl,i=r.getParameter(r.MAX_TEXTURE_SIZE);if(t<0||t>i||n<0||n>i)throw new Error("gl-texture2d: Invalid texture size");return e._shape=[t,n],e.bind(),r.texImage2D(r.TEXTURE_2D,0,e.format,t,n,0,e.format,e.type,null),e._mipLevels=[0],e}function d(e,t,n,r,i,a){this.gl=e,this.handle=t,this.format=i,this.type=a,this._shape=[n,r],this._mipLevels=[0],this._magFilter=e.NEAREST,this._minFilter=e.NEAREST,this._wrapS=e.CLAMP_TO_EDGE,this._wrapT=e.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(e){return o.wrapS=e}},{get:function(){return o._wrapT},set:function(e){return o.wrapT=e}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(e){return o.width=e}},{get:function(){return o._shape[1]},set:function(e){return o.height=e}}]),this._shapeVector=l}var h=d.prototype;function p(e,t){return 3===e.length?1===t[2]&&t[1]===e[0]*e[2]&&t[0]===e[2]:1===t[0]&&t[1]===e[0]}function m(e){var t=e.createTexture();return e.bindTexture(e.TEXTURE_2D,t),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.NEAREST),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.NEAREST),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),t}function g(e,t,n,r,i){var a=e.getParameter(e.MAX_TEXTURE_SIZE);if(t<0||t>a||n<0||n>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===e.FLOAT&&!e.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=m(e);return e.texImage2D(e.TEXTURE_2D,0,r,t,n,0,r,i,null),new d(e,o,t,n,r,i)}Object.defineProperties(h,{minFilter:{get:function(){return this._minFilter},set:function(e){this.bind();var 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MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? 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startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= 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miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:n,divisor:0,stride:8,offset:0},lineTop:{buffer:n,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},r))}catch(e){t=i}return{fill:e({primitive:"triangle",elements:function(e,t){return t.triangles},offset:0,vert:"\nprecision highp float;\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n",frag:"\nprecision highp float;\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n",uniforms:{scale:e.prop("scale"),color:e.prop("fill"),scaleFract:e.prop("scaleFract"),translateFract:e.prop("translateFract"),translate:e.prop("translate"),opacity:e.prop("opacity"),pixelRatio:e.context("pixelRatio"),id:e.prop("id"),viewport:function(e,t){return[t.viewport.x,t.viewport.y,e.viewportWidth,e.viewportHeight]}},attributes:{position:{buffer:e.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:e.prop("positionFractBuffer"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:i,miter:t}},g.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var e,t=[],n=arguments.length;n--;)t[n]=arguments[n];t.length&&(e=this).update.apply(e,t),this.draw()},g.prototype.draw=function(){for(var e=this,t=[],n=arguments.length;n--;)t[n]=arguments[n];return(t.length?t:this.passes).forEach((function(t,n){var r;if(t&&Array.isArray(t))return(r=e).draw.apply(r,t);"number"==typeof t&&(t=e.passes[t]),t&&t.count>1&&t.opacity&&(e.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&e.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>g.precisionThreshold||t.scale[1]*t.viewport.height>g.precisionThreshold||"rect"===t.join||!t.join&&(t.thickness<=2||t.count>=g.maxPoints)?e.shaders.rect(t):e.shaders.miter(t)))})),this},g.prototype.update=function(e){var t=this;if(e){null!=e.length?"number"==typeof e[0]&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);var n=this.regl,u=this.gl;if(e.forEach((function(e,h){var v=t.passes[h];if(void 0!==e)if(null!==e){if("number"==typeof e[0]&&(e={positions:e}),e=o(e,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),v||(t.passes[h]=v={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:n.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:n.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:n.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:n.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},e=a({},g.defaults,e)),null!=e.thickness&&(v.thickness=parseFloat(e.thickness)),null!=e.opacity&&(v.opacity=parseFloat(e.opacity)),null!=e.miterLimit&&(v.miterLimit=parseFloat(e.miterLimit)),null!=e.overlay&&(v.overlay=!!e.overlay,h<g.maxLines&&(v.depth=2*(g.maxLines-1-h%g.maxLines)/g.maxLines-1)),null!=e.join&&(v.join=e.join),null!=e.hole&&(v.hole=e.hole),null!=e.fill&&(v.fill=e.fill?r(e.fill,"uint8"):null),null!=e.viewport&&(v.viewport=p(e.viewport)),v.viewport||(v.viewport=p([u.drawingBufferWidth,u.drawingBufferHeight])),null!=e.close&&(v.close=e.close),null===e.positions&&(e.positions=[]),e.positions){var y,b;if(e.positions.x&&e.positions.y){var x=e.positions.x,_=e.positions.y;b=v.count=Math.max(x.length,_.length),y=new Float64Array(2*b);for(var A=0;A<b;A++)y[2*A]=x[A],y[2*A+1]=_[A]}else y=s(e.positions,"float64"),b=v.count=Math.floor(y.length/2);var w=v.bounds=i(y,2);if(v.fill){for(var k=[],E={},T=0,M=0,S=0,O=v.count;M<O;M++){var C=y[2*M],N=y[2*M+1];isNaN(C)||isNaN(N)||null==C||null==N?(C=y[2*T],N=y[2*T+1],E[M]=T):T=M,k[S++]=C,k[S++]=N}if(e.splitNull){v.count-1 in E||(E[v.count]=v.count-1);var R=Object.keys(E).map(Number).sort((function(e,t){return e-t})),L=[],P=0,D=null!=v.hole?v.hole[0]:null;if(null!=D){var I=m(R,(function(e){return e>=D}));(R=R.slice(0,I)).push(D)}for(var j=function(e){var t=k.slice(2*P,2*R[e]).concat(D?k.slice(2*D):[]),n=(v.hole||[]).map((function(t){return t-D+(R[e]-P)})),r=l(t,n);r=r.map((function(t){return t+P+(t+P<R[e]?0:D-R[e])})),L.push.apply(L,r),P=R[e]+1},F=0;F<R.length;F++)j(F);for(var z=0,B=L.length;z<B;z++)null!=E[L[z]]&&(L[z]=E[L[z]]);v.triangles=L}else{for(var U=l(k,v.hole||[]),$=0,H=U.length;$<H;$++)null!=E[U[$]]&&(U[$]=E[U[$]]);v.triangles=U}}var q=new Float64Array(y);c(q,2,w);var V=new Float64Array(2*b+6);v.close?y[0]===y[2*b-2]&&y[1]===y[2*b-1]?(V[0]=q[2*b-4],V[1]=q[2*b-3]):(V[0]=q[2*b-2],V[1]=q[2*b-1]):(V[0]=q[0],V[1]=q[1]),V.set(q,2),v.close?y[0]===y[2*b-2]&&y[1]===y[2*b-1]?(V[2*b+2]=q[2],V[2*b+3]=q[3],v.count-=1):(V[2*b+2]=q[0],V[2*b+3]=q[1],V[2*b+4]=q[2],V[2*b+5]=q[3]):(V[2*b+2]=q[2*b-2],V[2*b+3]=q[2*b-1],V[2*b+4]=q[2*b-2],V[2*b+5]=q[2*b-1]);var W=f(V);v.positionBuffer(W);var G=d(V,W);v.positionFractBuffer(G)}if(e.range?v.range=e.range:v.range||(v.range=v.bounds),(e.range||e.positions)&&v.count){var Y=v.bounds,X=Y[2]-Y[0],K=Y[3]-Y[1],Z=v.range[2]-v.range[0],J=v.range[3]-v.range[1];v.scale=[X/Z,K/J],v.translate=[-v.range[0]/Z+Y[0]/Z||0,-v.range[1]/J+Y[1]/J||0],v.scaleFract=d(v.scale),v.translateFract=d(v.translate)}if(e.dashes){var Q,ee=0;if(!e.dashes||e.dashes.length<2)ee=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{ee=0;for(var te=0;te<e.dashes.length;++te)ee+=e.dashes[te];Q=new Uint8Array(ee*g.dashMult);for(var ne=0,re=255,ie=0;ie<2;ie++)for(var ae=0;ae<e.dashes.length;++ae){for(var oe=0,se=e.dashes[ae]*g.dashMult*.5;oe<se;++oe)Q[ne++]=re;re^=255}}v.dashLength=ee,v.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:"linear",min:"linear"},0,0)}if(e.color){var le=v.count,ce=e.color;ce||(ce="transparent");var ue=new Uint8Array(4*le+4);if(Array.isArray(ce)&&"number"!=typeof ce[0]){for(var fe=0;fe<le;fe++){var de=r(ce[fe],"uint8");ue.set(de,4*fe)}ue.set(r(ce[0],"uint8"),4*le)}else for(var he=r(ce,"uint8"),pe=0;pe<le+1;pe++)ue.set(he,4*pe);v.colorBuffer({usage:"dynamic",type:"uint8",data:ue})}}else t.passes[h]=null})),e.length<this.passes.length){for(var h=e.length;h<this.passes.length;h++){var v=this.passes[h];v&&(v.colorBuffer.destroy(),v.positionBuffer.destroy(),v.dashTexture.destroy())}this.passes.length=e.length}for(var y=[],b=0;b<this.passes.length;b++)null!==this.passes[b]&&y.push(this.passes[b]);return this.passes=y,this}},g.prototype.destroy=function(){return this.passes.forEach((function(e){e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()})),this.passes.length=0,this}},61735:(e,t,n)=>{"use strict";function r(e,t){return function(e){if(Array.isArray(e))return e}(e)||function(e,t){var n=null==e?null:"undefined"!=typeof Symbol&&e[Symbol.iterator]||e["@@iterator"];if(null!=n){var r,i,a,o,s=[],l=!0,c=!1;try{if(a=(n=n.call(e)).next,0===t){if(Object(n)!==n)return;l=!1}else for(;!(l=(r=a.call(n)).done)&&(s.push(r.value),s.length!==t);l=!0);}catch(e){c=!0,i=e}finally{try{if(!l&&null!=n.return&&(o=n.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(e,t)||a(e,t)||function(){throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function i(e){return function(e){if(Array.isArray(e))return o(e)}(e)||function(e){if("undefined"!=typeof Symbol&&null!=e[Symbol.iterator]||null!=e["@@iterator"])return 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Uint8Array(1020),width:o,height:1,type:"uint8",format:"rgba",wrapS:"clamp",wrapT:"clamp",mag:"nearest",min:"nearest"}),f(this,{regl:e,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:r,maxColors:o,maxSize:100,canvas:i.canvas}),this.update(t);var s={uniforms:{constPointSize:!!t.constPointSize,opacity:e.prop("opacity"),paletteSize:function(e,t){return[n.tooManyColors?0:o,r.height]},pixelRatio:e.context("pixelRatio"),scale:e.prop("scale"),scaleFract:e.prop("scaleFract"),translate:e.prop("translate"),translateFract:e.prop("translateFract"),markerTexture:e.prop("markerTexture"),paletteTexture:r},attributes:{x:function(e,t){return t.xAttr||{buffer:t.positionBuffer,stride:8,offset:0}},y:function(e,t){return t.yAttr||{buffer:t.positionBuffer,stride:8,offset:4}},xFract:function(e,t){return t.xAttr?{constant:[0,0]}:{buffer:t.positionFractBuffer,stride:8,offset:0}},yFract:function(e,t){return t.yAttr?{constant:[0,0]}:{buffer:t.positionFractBuffer,stride:8,offset:4}},size:function(e,t){return t.size.length?{buffer:t.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*t.size/n.maxSize)]}},borderSize:function(e,t){return t.borderSize.length?{buffer:t.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*t.borderSize/n.maxSize)]}},colorId:function(e,t){return t.color.length?{buffer:t.colorBuffer,stride:n.tooManyColors?8:4,offset:0}:{constant:n.tooManyColors?a.slice(4*t.color,4*t.color+4):[t.color]}},borderColorId:function(e,t){return t.borderColor.length?{buffer:t.colorBuffer,stride:n.tooManyColors?8:4,offset:n.tooManyColors?4:2}:{constant:n.tooManyColors?a.slice(4*t.borderColor,4*t.borderColor+4):[t.borderColor]}},isActive:function(e,t){return!0===t.activation?{constant:[1]}:t.activation?t.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:e.prop("viewport")},viewport:e.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:e.prop("elements"),count:e.prop("count"),offset:e.prop("offset"),primitive:"points"},l=f({},s);l.frag=d(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),l.vert=d(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}\n"]),this.drawMarker=e(l);var c=f({},s);c.frag=d(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= 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this},x.prototype.drawItem=function(e,t){var n=this.groups,r=n[e];if("number"==typeof t&&(e=t,r=n[t],t=null),r&&r.count&&r.opacity){r.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,r,t));for(var a=[],o=1;o<r.activation.length;o++)r.activation[o]&&(!0===r.activation[o]||r.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,r,t)));a.length&&this.drawMarker(a)}},x.prototype.getMarkerDrawOptions=function(e,t,n){var i=t.range,a=t.tree,o=t.viewport,s=t.activation,l=t.selectionBuffer,c=t.count;this.regl;if(!a)return n?[f({},t,{markerTexture:this.markerTextures[e],activation:s[e],count:n.length,elements:n,offset:0})]:[f({},t,{markerTexture:this.markerTextures[e],activation:s[e],offset:0})];var u=[],d=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(n){for(var h=s[e].data,p=new Uint8Array(c),m=0;m<n.length;m++){var g=n[m];p[g]=h?h[g]:1}l.subdata(p)}for(var v=d.length;v--;){var y=r(d[v],2),b=y[0],x=y[1];u.push(f({},t,{markerTexture:this.markerTextures[e],activation:n?l:s[e],offset:b,count:x-b}))}return u},x.prototype.update=function(){for(var e=this,t=arguments.length,n=new Array(t),r=0;r<t;r++)n[r]=arguments[r];if(n.length){1===n.length&&Array.isArray(n[0])&&(n=n[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,d=this.palette;this.groups=i=n.map((function(t,n){var r=i[n];if(void 0===t)return r;null===t?t={positions:null}:"function"==typeof t?t={ondraw:t}:"number"==typeof t[0]&&(t={positions:t}),null===(t=h(t,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox 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g=0,b=0;if(p(r,t,[{snap:!0,size:function(e,t){return null==e&&(e=x.defaults.size),g+=e&&e.length?1:0,e},borderSize:function(e,t){return null==e&&(e=x.defaults.borderSize),g+=e&&e.length?1:0,e},opacity:parseFloat,color:function(t,n){return null==t&&(t=x.defaults.color),t=e.updateColor(t),b++,t},borderColor:function(t,n){return null==t&&(t=x.defaults.borderColor),t=e.updateColor(t),b++,t},bounds:function(e,t,n){return"range"in n||(n.range=null),e},positions:function(e,t,n){var r=t.snap,i=t.positionBuffer,a=t.positionFractBuffer,s=t.selectionBuffer;if(e.x||e.y)return e.x.length?t.xAttr={buffer:o.buffer(e.x),offset:0,stride:4,count:e.x.length}:t.xAttr={buffer:e.x.buffer,offset:4*e.x.offset||0,stride:4*(e.x.stride||1),count:e.x.count},e.y.length?t.yAttr={buffer:o.buffer(e.y),offset:0,stride:4,count:e.y.length}:t.yAttr={buffer:e.y.buffer,offset:4*e.y.offset||0,stride:4*(e.y.stride||1),count:e.y.count},t.count=Math.max(t.xAttr.count,t.yAttr.count),e;e=m(e,"float64");var c=t.count=Math.floor(e.length/2),f=t.bounds=c?l(e,2):null;if(n.range||t.range||(delete t.range,n.range=f),n.marker||t.marker||(delete t.marker,n.marker=null),r&&(!0===r||c>r)?t.tree=u(e,{bounds:f}):r&&r.length&&(t.tree=r),t.tree){var d={primitive:"points",usage:"static",data:t.tree,type:"uint32"};t.elements?t.elements(d):t.elements=o.elements(d)}var h=v.float32(e);return i({data:h,usage:"dynamic"}),a({data:v.fract32(e,h),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),e}},{marker:function(t,n,r){var i=n.activation;if(i.forEach((function(e){return e&&e.destroy&&e.destroy()})),i.length=0,t&&"number"!=typeof t[0]){for(var a=[],s=0,l=Math.min(t.length,n.count);s<l;s++){var c=e.addMarker(t[s]);a[c]||(a[c]=new Uint8Array(n.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[e.addMarker(t)]=!0}return t},range:function(e,t,n){var r=t.bounds;if(r)return e||(e=r),t.scale=[1/(e[2]-e[0]),1/(e[3]-e[1])],t.translate=[-e[0],-e[1]],t.scaleFract=v.fract(t.scale),t.translateFract=v.fract(t.translate),e},viewport:function(e){return y(e||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=r,A=_.count,w=_.size,k=_.borderSize,E=_.sizeBuffer,T=new Uint8Array(2*A);if(w.length||k.length)for(var M=0;M<A;M++)T[2*M]=Math.round(255*(null==w[M]?w:w[M])/s),T[2*M+1]=Math.round(255*(null==k[M]?k:k[M])/s);E({data:T,usage:"dynamic"})}if(b){var S,O=r,C=O.count,N=O.color,R=O.borderColor,L=O.colorBuffer;if(e.tooManyColors){if(N.length||R.length){S=new Uint8Array(8*C);for(var P=0;P<C;P++){var D=N[P];S[8*P]=d[4*D],S[8*P+1]=d[4*D+1],S[8*P+2]=d[4*D+2],S[8*P+3]=d[4*D+3];var I=R[P];S[8*P+4]=d[4*I],S[8*P+5]=d[4*I+1],S[8*P+6]=d[4*I+2],S[8*P+7]=d[4*I+3]}}}else if(N.length||R.length){S=new Uint8Array(4*C+2);for(var j=0;j<C;j++)null!=N[j]&&(S[4*j]=N[j]%c,S[4*j+1]=Math.floor(N[j]/c)),null!=R[j]&&(S[4*j+2]=R[j]%c,S[4*j+3]=Math.floor(R[j]/c))}L({data:S||new 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_=e[2*p],A=e[2*p+1];if(x===1/0){for(let t=0;t<a;t++)this._dists[t]=e[2*t]-e[0]||e[2*t+1]-e[1];AC(this._ids,this._dists,0,a-1);const t=new Uint32Array(a);let n=0;for(let e=0,r=-1/0;e<a;e++){const i=this._ids[e];this._dists[i]>r&&(t[n++]=i,r=this._dists[i])}return this.hull=t.subarray(0,n),this.triangles=new Uint32Array(0),void(this.halfedges=new Uint32Array(0))}if(mC(g,v,y,b,_,A)<0){const e=h,t=y,n=b;h=p,y=_,b=A,p=e,_=t,A=n}const w=function(e,t,n,r,i,a){const o=n-e,s=r-t,l=i-e,c=a-t,u=o*o+s*s,f=l*l+c*c,d=.5/(o*c-s*l),h=e+(c*u-s*f)*d,p=t+(o*f-l*u)*d;return{x:h,y:p}}(g,v,y,b,_,A);this._cx=w.x,this._cy=w.y;for(let t=0;t<a;t++)this._dists[t]=bC(e[2*t],e[2*t+1],w.x,w.y);AC(this._ids,this._dists,0,a-1),this._hullStart=d;let k=3;n[d]=t[p]=h,n[h]=t[d]=p,n[p]=t[h]=d,r[d]=0,r[h]=1,r[p]=2,i.fill(-1),i[this._hashKey(g,v)]=d,i[this._hashKey(y,b)]=h,i[this._hashKey(_,A)]=p,this.trianglesLen=0,this._addTriangle(d,h,p,-1,-1,-1);for(let a,o,s=0;s<this._ids.length;s++){const l=this._ids[s],c=e[2*l],u=e[2*l+1];if(s>0&&Math.abs(c-a)<=gC&&Math.abs(u-o)<=gC)continue;if(a=c,o=u,l===d||l===h||l===p)continue;let f=0;for(let e=0,t=this._hashKey(c,u);e<this._hashSize&&(f=i[(t+e)%this._hashSize],-1===f||f===n[f]);e++);f=t[f];let m,g=f;for(;m=n[g],mC(c,u,e[2*g],e[2*g+1],e[2*m],e[2*m+1])>=0;)if(g=m,g===f){g=-1;break}if(-1===g)continue;let v=this._addTriangle(g,l,n[g],-1,-1,r[g]);r[l]=this._legalize(v+2),r[g]=v,k++;let y=n[g];for(;m=n[y],mC(c,u,e[2*y],e[2*y+1],e[2*m],e[2*m+1])<0;)v=this._addTriangle(y,l,m,r[l],-1,r[y]),r[l]=this._legalize(v+2),n[y]=y,k--,y=m;if(g===f)for(;m=t[g],mC(c,u,e[2*m],e[2*m+1],e[2*g],e[2*g+1])<0;)v=this._addTriangle(m,l,g,-1,r[g],r[m]),this._legalize(v+2),r[m]=v,n[g]=g,k--,g=m;this._hullStart=t[l]=g,n[g]=t[y]=l,n[l]=y,i[this._hashKey(c,u)]=l,i[this._hashKey(e[2*g],e[2*g+1])]=g}this.hull=new Uint32Array(k);for(let e=0,t=this._hullStart;e<k;e++)this.hull[e]=t,t=n[t];this.triangles=this._triangles.subarray(0,this.trianglesLen),this.halfedges=this._halfedges.subarray(0,this.trianglesLen)}_hashKey(e,t){return Math.floor(function(e,t){const n=e/(Math.abs(e)+Math.abs(t));return(t>0?3-n:1+n)/4}(e-this._cx,t-this._cy)*this._hashSize)%this._hashSize}_legalize(e){const{_triangles:t,_halfedges:n,coords:r}=this;let i=0,a=0;for(;;){const o=n[e],s=e-e%3;if(a=s+(e+2)%3,-1===o){if(0===i)break;e=vC[--i];continue}const l=o-o%3,c=s+(e+1)%3,u=l+(o+2)%3,f=t[a],d=t[e],h=t[c],p=t[u];if(xC(r[2*f],r[2*f+1],r[2*d],r[2*d+1],r[2*h],r[2*h+1],r[2*p],r[2*p+1])){t[e]=p,t[o]=f;const r=n[u];if(-1===r){let t=this._hullStart;do{if(this._hullTri[t]===u){this._hullTri[t]=e;break}t=this._hullPrev[t]}while(t!==this._hullStart)}this._link(e,r),this._link(o,n[a]),this._link(a,u);const s=l+(o+1)%3;i<vC.length&&(vC[i++]=s)}else{if(0===i)break;e=vC[--i]}}return a}_link(e,t){this._halfedges[e]=t,-1!==t&&(this._halfedges[t]=e)}_addTriangle(e,t,n,r,i,a){const o=this.trianglesLen;return this._triangles[o]=e,this._triangles[o+1]=t,this._triangles[o+2]=n,this._link(o,r),this._link(o+1,i),this._link(o+2,a),this.trianglesLen+=3,o}}function bC(e,t,n,r){const i=e-n,a=t-r;return i*i+a*a}function xC(e,t,n,r,i,a,o,s){const l=e-o,c=t-s,u=n-o,f=r-s,d=i-o,h=a-s,p=u*u+f*f,m=d*d+h*h;return l*(f*m-p*h)-c*(u*m-p*d)+(l*l+c*c)*(u*h-f*d)<0}function _C(e,t,n,r,i,a){const o=n-e,s=r-t,l=i-e,c=a-t,u=o*o+s*s,f=l*l+c*c,d=.5/(o*c-s*l),h=(c*u-s*f)*d,p=(o*f-l*u)*d;return h*h+p*p}function AC(e,t,n,r){if(r-n<=20)for(let i=n+1;i<=r;i++){const r=e[i],a=t[r];let o=i-1;for(;o>=n&&t[e[o]]>a;)e[o+1]=e[o--];e[o+1]=r}else{let i=n+1,a=r;wC(e,n+r>>1,i),t[e[n]]>t[e[r]]&&wC(e,n,r),t[e[i]]>t[e[r]]&&wC(e,i,r),t[e[n]]>t[e[i]]&&wC(e,n,i);const o=e[i],s=t[o];for(;;){do{i++}while(t[e[i]]<s);do{a--}while(t[e[a]]>s);if(a<i)break;wC(e,i,a)}e[n+1]=e[a],e[a]=o,r-i+1>=a-n?(AC(e,t,i,r),AC(e,t,n,a-1)):(AC(e,t,n,a-1),AC(e,t,i,r))}}function wC(e,t,n){const r=e[t];e[t]=e[n],e[n]=r}function kC(e){return e[0]}function EC(e){return e[1]}const TC=1e-6;class MC{constructor(){this._x0=this._y0=this._x1=this._y1=null,this._=""}moveTo(e,t){this._+=`M${this._x0=this._x1=+e},${this._y0=this._y1=+t}`}closePath(){null!==this._x1&&(this._x1=this._x0,this._y1=this._y0,this._+="Z")}lineTo(e,t){this._+=`L${this._x1=+e},${this._y1=+t}`}arc(e,t,n){const r=(e=+e)+(n=+n),i=t=+t;if(n<0)throw new Error("negative radius");null===this._x1?this._+=`M${r},${i}`:(Math.abs(this._x1-r)>TC||Math.abs(this._y1-i)>TC)&&(this._+="L"+r+","+i),n&&(this._+=`A${n},${n},0,1,1,${e-n},${t}A${n},${n},0,1,1,${this._x1=r},${this._y1=i}`)}rect(e,t,n,r){this._+=`M${this._x0=this._x1=+e},${this._y0=this._y1=+t}h${+n}v${+r}h${-n}Z`}value(){return this._||null}}class SC{constructor(){this._=[]}moveTo(e,t){this._.push([e,t])}closePath(){this._.push(this._[0].slice())}lineTo(e,t){this._.push([e,t])}value(){return this._.length?this._:null}}class OC{constructor(e,[t,n,r,i]=[0,0,960,500]){if(!((r=+r)>=(t=+t)&&(i=+i)>=(n=+n)))throw new Error("invalid bounds");this.delaunay=e,this._circumcenters=new Float64Array(2*e.points.length),this.vectors=new Float64Array(2*e.points.length),this.xmax=r,this.xmin=t,this.ymax=i,this.ymin=n,this._init()}update(){return this.delaunay.update(),this._init(),this}_init(){const{delaunay:{points:e,hull:t,triangles:n},vectors:r}=this,i=this.circumcenters=this._circumcenters.subarray(0,n.length/3*2);for(let t,r,a=0,o=0,s=n.length;a<s;a+=3,o+=2){const s=2*n[a],l=2*n[a+1],c=2*n[a+2],u=e[s],f=e[s+1],d=e[l],h=e[l+1],p=e[c],m=e[c+1],g=d-u,v=h-f,y=p-u,b=m-f,x=2*(g*b-v*y);if(Math.abs(x)<1e-9){let i=1e9;const a=2*n[0];i*=Math.sign((e[a]-u)*b-(e[a+1]-f)*y),t=(u+p)/2-i*b,r=(f+m)/2+i*y}else{const e=1/x,n=g*g+v*v,i=y*y+b*b;t=u+(b*n-v*i)*e,r=f+(g*i-y*n)*e}i[o]=t,i[o+1]=r}let a,o,s,l=t[t.length-1],c=4*l,u=e[2*l],f=e[2*l+1];r.fill(0);for(let n=0;n<t.length;++n)l=t[n],a=c,o=u,s=f,c=4*l,u=e[2*l],f=e[2*l+1],r[a+2]=r[c]=s-f,r[a+3]=r[c+1]=u-o}render(e){const t=null==e?e=new MC:void 0,{delaunay:{halfedges:n,inedges:r,hull:i},circumcenters:a,vectors:o}=this;if(i.length<=1)return null;for(let t=0,r=n.length;t<r;++t){const r=n[t];if(r<t)continue;const i=2*Math.floor(t/3),o=2*Math.floor(r/3),s=a[i],l=a[i+1],c=a[o],u=a[o+1];this._renderSegment(s,l,c,u,e)}let s,l=i[i.length-1];for(let t=0;t<i.length;++t){s=l,l=i[t];const n=2*Math.floor(r[l]/3),c=a[n],u=a[n+1],f=4*s,d=this._project(c,u,o[f+2],o[f+3]);d&&this._renderSegment(c,u,d[0],d[1],e)}return t&&t.value()}renderBounds(e){const t=null==e?e=new MC:void 0;return e.rect(this.xmin,this.ymin,this.xmax-this.xmin,this.ymax-this.ymin),t&&t.value()}renderCell(e,t){const n=null==t?t=new MC:void 0,r=this._clip(e);if(null===r||!r.length)return;t.moveTo(r[0],r[1]);let i=r.length;for(;r[0]===r[i-2]&&r[1]===r[i-1]&&i>1;)i-=2;for(let e=2;e<i;e+=2)r[e]===r[e-2]&&r[e+1]===r[e-1]||t.lineTo(r[e],r[e+1]);return t.closePath(),n&&n.value()}*cellPolygons(){const{delaunay:{points:e}}=this;for(let t=0,n=e.length/2;t<n;++t){const e=this.cellPolygon(t);e&&(e.index=t,yield e)}}cellPolygon(e){const t=new SC;return this.renderCell(e,t),t.value()}_renderSegment(e,t,n,r,i){let a;const o=this._regioncode(e,t),s=this._regioncode(n,r);0===o&&0===s?(i.moveTo(e,t),i.lineTo(n,r)):(a=this._clipSegment(e,t,n,r,o,s))&&(i.moveTo(a[0],a[1]),i.lineTo(a[2],a[3]))}contains(e,t,n){return(t=+t)==t&&(n=+n)==n&&this.delaunay._step(e,t,n)===e}*neighbors(e){const t=this._clip(e);if(t)for(const n of this.delaunay.neighbors(e)){const e=this._clip(n);if(e)e:for(let r=0,i=t.length;r<i;r+=2)for(let a=0,o=e.length;a<o;a+=2)if(t[r]==e[a]&&t[r+1]==e[a+1]&&t[(r+2)%i]==e[(a+o-2)%o]&&t[(r+3)%i]==e[(a+o-1)%o]){yield n;break e}}}_cell(e){const{circumcenters:t,delaunay:{inedges:n,halfedges:r,triangles:i}}=this,a=n[e];if(-1===a)return null;const o=[];let s=a;do{const n=Math.floor(s/3);if(o.push(t[2*n],t[2*n+1]),s=s%3==2?s-2:s+1,i[s]!==e)break;s=r[s]}while(s!==a&&-1!==s);return o}_clip(e){if(0===e&&1===this.delaunay.hull.length)return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];const t=this._cell(e);if(null===t)return null;const{vectors:n}=this,r=4*e;return n[r]||n[r+1]?this._clipInfinite(e,t,n[r],n[r+1],n[r+2],n[r+3]):this._clipFinite(e,t)}_clipFinite(e,t){const n=t.length;let r,i,a,o,s=null,l=t[n-2],c=t[n-1],u=this._regioncode(l,c),f=0;for(let d=0;d<n;d+=2)if(r=l,i=c,l=t[d],c=t[d+1],a=u,u=this._regioncode(l,c),0===a&&0===u)o=f,f=0,s?s.push(l,c):s=[l,c];else{let t,n,d,h,p;if(0===a){if(null===(t=this._clipSegment(r,i,l,c,a,u)))continue;[n,d,h,p]=t}else{if(null===(t=this._clipSegment(l,c,r,i,u,a)))continue;[h,p,n,d]=t,o=f,f=this._edgecode(n,d),o&&f&&this._edge(e,o,f,s,s.length),s?s.push(n,d):s=[n,d]}o=f,f=this._edgecode(h,p),o&&f&&this._edge(e,o,f,s,s.length),s?s.push(h,p):s=[h,p]}if(s)o=f,f=this._edgecode(s[0],s[1]),o&&f&&this._edge(e,o,f,s,s.length);else if(this.contains(e,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2))return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];return s}_clipSegment(e,t,n,r,i,a){for(;;){if(0===i&&0===a)return[e,t,n,r];if(i&a)return null;let o,s,l=i||a;8&l?(o=e+(n-e)*(this.ymax-t)/(r-t),s=this.ymax):4&l?(o=e+(n-e)*(this.ymin-t)/(r-t),s=this.ymin):2&l?(s=t+(r-t)*(this.xmax-e)/(n-e),o=this.xmax):(s=t+(r-t)*(this.xmin-e)/(n-e),o=this.xmin),i?(e=o,t=s,i=this._regioncode(e,t)):(n=o,r=s,a=this._regioncode(n,r))}}_clipInfinite(e,t,n,r,i,a){let o,s=Array.from(t);if((o=this._project(s[0],s[1],n,r))&&s.unshift(o[0],o[1]),(o=this._project(s[s.length-2],s[s.length-1],i,a))&&s.push(o[0],o[1]),s=this._clipFinite(e,s))for(let t,n=0,r=s.length,i=this._edgecode(s[r-2],s[r-1]);n<r;n+=2)t=i,i=this._edgecode(s[n],s[n+1]),t&&i&&(n=this._edge(e,t,i,s,n),r=s.length);else this.contains(e,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2)&&(s=[this.xmin,this.ymin,this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax]);return s}_edge(e,t,n,r,i){for(;t!==n;){let n,a;switch(t){case 5:t=4;continue;case 4:t=6,n=this.xmax,a=this.ymin;break;case 6:t=2;continue;case 2:t=10,n=this.xmax,a=this.ymax;break;case 10:t=8;continue;case 8:t=9,n=this.xmin,a=this.ymax;break;case 9:t=1;continue;case 1:t=5,n=this.xmin,a=this.ymin}r[i]===n&&r[i+1]===a||!this.contains(e,n,a)||(r.splice(i,0,n,a),i+=2)}if(r.length>4)for(let e=0;e<r.length;e+=2){const t=(e+2)%r.length,n=(e+4)%r.length;(r[e]===r[t]&&r[t]===r[n]||r[e+1]===r[t+1]&&r[t+1]===r[n+1])&&(r.splice(t,2),e-=2)}return i}_project(e,t,n,r){let i,a,o,s=1/0;if(r<0){if(t<=this.ymin)return null;(i=(this.ymin-t)/r)<s&&(o=this.ymin,a=e+(s=i)*n)}else if(r>0){if(t>=this.ymax)return null;(i=(this.ymax-t)/r)<s&&(o=this.ymax,a=e+(s=i)*n)}if(n>0){if(e>=this.xmax)return null;(i=(this.xmax-e)/n)<s&&(a=this.xmax,o=t+(s=i)*r)}else if(n<0){if(e<=this.xmin)return null;(i=(this.xmin-e)/n)<s&&(a=this.xmin,o=t+(s=i)*r)}return[a,o]}_edgecode(e,t){return(e===this.xmin?1:e===this.xmax?2:0)|(t===this.ymin?4:t===this.ymax?8:0)}_regioncode(e,t){return(e<this.xmin?1:e>this.xmax?2:0)|(t<this.ymin?4:t>this.ymax?8:0)}}const CC=2*Math.PI,NC=Math.pow;function RC(e){return e[0]}function LC(e){return e[1]}function PC(e,t,n){return[e+Math.sin(e+t)*n,t+Math.cos(e-t)*n]}class DC{static from(e,t=RC,n=LC,r){return new DC("length"in e?function(e,t,n,r){const i=e.length,a=new Float64Array(2*i);for(let o=0;o<i;++o){const i=e[o];a[2*o]=t.call(r,i,o,e),a[2*o+1]=n.call(r,i,o,e)}return a}(e,t,n,r):Float64Array.from(function*(e,t,n,r){let i=0;for(const a of e)yield t.call(r,a,i,e),yield n.call(r,a,i,e),++i}(e,t,n,r)))}constructor(e){this._delaunator=new yC(e),this.inedges=new Int32Array(e.length/2),this._hullIndex=new Int32Array(e.length/2),this.points=this._delaunator.coords,this._init()}update(){return this._delaunator.update(),this._init(),this}_init(){const e=this._delaunator,t=this.points;if(e.hull&&e.hull.length>2&&function(e){const{triangles:t,coords:n}=e;for(let e=0;e<t.length;e+=3){const r=2*t[e],i=2*t[e+1],a=2*t[e+2];if((n[a]-n[r])*(n[i+1]-n[r+1])-(n[i]-n[r])*(n[a+1]-n[r+1])>1e-10)return!1}return!0}(e)){this.collinear=Int32Array.from({length:t.length/2},((e,t)=>t)).sort(((e,n)=>t[2*e]-t[2*n]||t[2*e+1]-t[2*n+1]));const e=this.collinear[0],n=this.collinear[this.collinear.length-1],r=[t[2*e],t[2*e+1],t[2*n],t[2*n+1]],i=1e-8*Math.hypot(r[3]-r[1],r[2]-r[0]);for(let e=0,n=t.length/2;e<n;++e){const n=PC(t[2*e],t[2*e+1],i);t[2*e]=n[0],t[2*e+1]=n[1]}this._delaunator=new yC(t)}else delete this.collinear;const n=this.halfedges=this._delaunator.halfedges,r=this.hull=this._delaunator.hull,i=this.triangles=this._delaunator.triangles,a=this.inedges.fill(-1),o=this._hullIndex.fill(-1);for(let e=0,t=n.length;e<t;++e){const t=i[e%3==2?e-2:e+1];-1!==n[e]&&-1!==a[t]||(a[t]=e)}for(let e=0,t=r.length;e<t;++e)o[r[e]]=e;r.length<=2&&r.length>0&&(this.triangles=new Int32Array(3).fill(-1),this.halfedges=new Int32Array(3).fill(-1),this.triangles[0]=r[0],a[r[0]]=1,2===r.length&&(a[r[1]]=0,this.triangles[1]=r[1],this.triangles[2]=r[1]))}voronoi(e){return new OC(this,e)}*neighbors(e){const{inedges:t,hull:n,_hullIndex:r,halfedges:i,triangles:a,collinear:o}=this;if(o){const t=o.indexOf(e);return t>0&&(yield o[t-1]),void(t<o.length-1&&(yield o[t+1]))}const s=t[e];if(-1===s)return;let l=s,c=-1;do{if(yield c=a[l],l=l%3==2?l-2:l+1,a[l]!==e)return;if(l=i[l],-1===l){const t=n[(r[e]+1)%n.length];return void(t!==c&&(yield t))}}while(l!==s)}find(e,t,n=0){if((e=+e)!=e||(t=+t)!=t)return-1;const r=n;let i;for(;(i=this._step(n,e,t))>=0&&i!==n&&i!==r;)n=i;return i}_step(e,t,n){const{inedges:r,hull:i,_hullIndex:a,halfedges:o,triangles:s,points:l}=this;if(-1===r[e]||!l.length)return(e+1)%(l.length>>1);let c=e,u=NC(t-l[2*e],2)+NC(n-l[2*e+1],2);const f=r[e];let d=f;do{let r=s[d];const f=NC(t-l[2*r],2)+NC(n-l[2*r+1],2);if(f<u&&(u=f,c=r),d=d%3==2?d-2:d+1,s[d]!==e)break;if(d=o[d],-1===d){if(d=i[(a[e]+1)%i.length],d!==r&&NC(t-l[2*d],2)+NC(n-l[2*d+1],2)<u)return d;break}}while(d!==f);return c}render(e){const t=null==e?e=new MC:void 0,{points:n,halfedges:r,triangles:i}=this;for(let t=0,a=r.length;t<a;++t){const a=r[t];if(a<t)continue;const o=2*i[t],s=2*i[a];e.moveTo(n[o],n[o+1]),e.lineTo(n[s],n[s+1])}return this.renderHull(e),t&&t.value()}renderPoints(e,t){void 0!==t||e&&"function"==typeof e.moveTo||(t=e,e=null),t=null==t?2:+t;const n=null==e?e=new MC:void 0,{points:r}=this;for(let n=0,i=r.length;n<i;n+=2){const i=r[n],a=r[n+1];e.moveTo(i+t,a),e.arc(i,a,t,0,CC)}return n&&n.value()}renderHull(e){const t=null==e?e=new MC:void 0,{hull:n,points:r}=this,i=2*n[0],a=n.length;e.moveTo(r[i],r[i+1]);for(let t=1;t<a;++t){const i=2*n[t];e.lineTo(r[i],r[i+1])}return e.closePath(),t&&t.value()}hullPolygon(){const e=new SC;return this.renderHull(e),e.value()}renderTriangle(e,t){const n=null==t?t=new MC:void 0,{points:r,triangles:i}=this,a=2*i[e*=3],o=2*i[e+1],s=2*i[e+2];return t.moveTo(r[a],r[a+1]),t.lineTo(r[o],r[o+1]),t.lineTo(r[s],r[s+1]),t.closePath(),n&&n.value()}*trianglePolygons(){const{triangles:e}=this;for(let t=0,n=e.length/3;t<n;++t)yield this.trianglePolygon(t)}trianglePolygon(e){const t=new SC;return this.renderTriangle(e,t),t.value()}}function IC(e){nd.call(this,null,e)}IC.Definition={type:"Voronoi",metadata:{modifies:!0},params:[{name:"x",type:"field",required:!0},{name:"y",type:"field",required:!0},{name:"size",type:"number",array:!0,length:2},{name:"extent",type:"array",array:!0,length:2,default:[[-1e5,-1e5],[1e5,1e5]],content:{type:"number",array:!0,length:2}},{name:"as",type:"string",default:"path"}]};const jC=[-1e5,-1e5,1e5,1e5];function FC(e){const t=e[0][0],n=e[0][1];let r=e.length-1;for(;e[r][0]===t&&e[r][1]===n;--r);return"M"+e.slice(0,r+1).join("L")+"Z"}hl(IC,nd,{transform(e,t){const n=e.as||"path",r=t.source;if(!r||!r.length)return t;let i=e.size;i=i?[0,0,i[0],i[1]]:(i=e.extent)?[i[0][0],i[0][1],i[1][0],i[1][1]]:jC;const a=this.value=DC.from(r,e.x,e.y).voronoi(i);for(let e=0,t=r.length;e<t;++e){const t=a.cellPolygon(e);r[e][n]=t?FC(t):null}return t.reflow(e.modified()).modifies(n)}});var zC=Math.PI/180,BC=64,UC=2048;function $C(){var e,t,n,r,i,a,o,s=[256,256],l=GC,c=[],u=Math.random,f={};function d(e,t,n){for(var r,i,a,o=t.x,c=t.y,f=Math.sqrt(s[0]*s[0]+s[1]*s[1]),d=l(s),h=u()<.5?1:-1,p=-h;(r=d(p+=h))&&(i=~~r[0],a=~~r[1],!(Math.min(Math.abs(i),Math.abs(a))>=f));)if(t.x=o+i,t.y=c+a,!(t.x+t.x0<0||t.y+t.y0<0||t.x+t.x1>s[0]||t.y+t.y1>s[1])&&(!n||!qC(t,e,s[0]))&&(!n||WC(t,n))){for(var m,g=t.sprite,v=t.width>>5,y=s[0]>>5,b=t.x-(v<<4),x=127&b,_=32-x,A=t.y1-t.y0,w=(t.y+t.y0)*y+(b>>5),k=0;k<A;k++){m=0;for(var E=0;E<=v;E++)e[w+E]|=m<<_|(E<v?(m=g[k*v+E])>>>x:0);w+=y}return t.sprite=null,!0}return!1}return f.layout=function(){for(var l=function(e){e.width=e.height=1;var t=Math.sqrt(e.getContext("2d").getImageData(0,0,1,1).data.length>>2);e.width=(BC<<5)/t,e.height=UC/t;var n=e.getContext("2d");return n.fillStyle=n.strokeStyle="red",n.textAlign="center",{context:n,ratio:t}}(Wm()),f=function(e){var t=[],n=-1;for(;++n<e;)t[n]=0;return t}((s[0]>>5)*s[1]),h=null,p=c.length,m=-1,g=[],v=c.map((s=>({text:e(s),font:t(s),style:r(s),weight:i(s),rotate:a(s),size:~~(n(s)+1e-14),padding:o(s),xoff:0,yoff:0,x1:0,y1:0,x0:0,y0:0,hasText:!1,sprite:null,datum:s}))).sort(((e,t)=>t.size-e.size));++m<p;){var y=v[m];y.x=s[0]*(u()+.5)>>1,y.y=s[1]*(u()+.5)>>1,HC(l,y,v,m),y.hasText&&d(f,y,h)&&(g.push(y),h?VC(h,y):h=[{x:y.x+y.x0,y:y.y+y.y0},{x:y.x+y.x1,y:y.y+y.y1}],y.x-=s[0]>>1,y.y-=s[1]>>1)}return g},f.words=function(e){return arguments.length?(c=e,f):c},f.size=function(e){return arguments.length?(s=[+e[0],+e[1]],f):s},f.font=function(e){return arguments.length?(t=YC(e),f):t},f.fontStyle=function(e){return arguments.length?(r=YC(e),f):r},f.fontWeight=function(e){return arguments.length?(i=YC(e),f):i},f.rotate=function(e){return arguments.length?(a=YC(e),f):a},f.text=function(t){return arguments.length?(e=YC(t),f):e},f.spiral=function(e){return arguments.length?(l=XC[e]||e,f):l},f.fontSize=function(e){return arguments.length?(n=YC(e),f):n},f.padding=function(e){return arguments.length?(o=YC(e),f):o},f.random=function(e){return arguments.length?(u=e,f):u},f}function HC(e,t,n,r){if(!t.sprite){var i=e.context,a=e.ratio;i.clearRect(0,0,(BC<<5)/a,UC/a);var o,s,l,c,u,f=0,d=0,h=0,p=n.length;for(--r;++r<p;){if(t=n[r],i.save(),i.font=t.style+" "+t.weight+" "+~~((t.size+1)/a)+"px "+t.font,o=i.measureText(t.text+"m").width*a,l=t.size<<1,t.rotate){var m=Math.sin(t.rotate*zC),g=Math.cos(t.rotate*zC),v=o*g,y=o*m,b=l*g,x=l*m;o=Math.max(Math.abs(v+x),Math.abs(v-x))+31>>5<<5,l=~~Math.max(Math.abs(y+b),Math.abs(y-b))}else o=o+31>>5<<5;if(l>h&&(h=l),f+o>=BC<<5&&(f=0,d+=h,h=0),d+l>=UC)break;i.translate((f+(o>>1))/a,(d+(l>>1))/a),t.rotate&&i.rotate(t.rotate*zC),i.fillText(t.text,0,0),t.padding&&(i.lineWidth=2*t.padding,i.strokeText(t.text,0,0)),i.restore(),t.width=o,t.height=l,t.xoff=f,t.yoff=d,t.x1=o>>1,t.y1=l>>1,t.x0=-t.x1,t.y0=-t.y1,t.hasText=!0,f+=o}for(var _=i.getImageData(0,0,(BC<<5)/a,UC/a).data,A=[];--r>=0;)if((t=n[r]).hasText){for(s=(o=t.width)>>5,l=t.y1-t.y0,c=0;c<l*s;c++)A[c]=0;if(null==(f=t.xoff))return;d=t.yoff;var w=0,k=-1;for(u=0;u<l;u++){for(c=0;c<o;c++){var E=s*u+(c>>5),T=_[(d+u)*(BC<<5)+(f+c)<<2]?1<<31-c%32:0;A[E]|=T,w|=T}w?k=u:(t.y0++,l--,u--,d++)}t.y1=t.y0+k,t.sprite=A.slice(0,(t.y1-t.y0)*s)}}}function qC(e,t,n){n>>=5;for(var r,i=e.sprite,a=e.width>>5,o=e.x-(a<<4),s=127&o,l=32-s,c=e.y1-e.y0,u=(e.y+e.y0)*n+(o>>5),f=0;f<c;f++){r=0;for(var d=0;d<=a;d++)if((r<<l|(d<a?(r=i[f*a+d])>>>s:0))&t[u+d])return!0;u+=n}return!1}function VC(e,t){var n=e[0],r=e[1];t.x+t.x0<n.x&&(n.x=t.x+t.x0),t.y+t.y0<n.y&&(n.y=t.y+t.y0),t.x+t.x1>r.x&&(r.x=t.x+t.x1),t.y+t.y1>r.y&&(r.y=t.y+t.y1)}function WC(e,t){return e.x+e.x1>t[0].x&&e.x+e.x0<t[1].x&&e.y+e.y1>t[0].y&&e.y+e.y0<t[1].y}function GC(e){var t=e[0]/e[1];return function(e){return[t*(e*=.1)*Math.cos(e),e*Math.sin(e)]}}function YC(e){return"function"==typeof e?e:function(){return e}}var XC={archimedean:GC,rectangular:function(e){var t=4*e[0]/e[1],n=0,r=0;return function(e){var i=e<0?-1:1;switch(Math.sqrt(1+4*i*e)-i&3){case 0:n+=t;break;case 1:r+=4;break;case 2:n-=t;break;default:r-=4}return[n,r]}}};const KC=["x","y","font","fontSize","fontStyle","fontWeight","angle"],ZC=["text","font","rotate","fontSize","fontStyle","fontWeight"];function JC(e){nd.call(this,$C(),e)}JC.Definition={type:"Wordcloud",metadata:{modifies:!0},params:[{name:"size",type:"number",array:!0,length:2},{name:"font",type:"string",expr:!0,default:"sans-serif"},{name:"fontStyle",type:"string",expr:!0,default:"normal"},{name:"fontWeight",type:"string",expr:!0,default:"normal"},{name:"fontSize",type:"number",expr:!0,default:14},{name:"fontSizeRange",type:"number",array:"nullable",default:[10,50]},{name:"rotate",type:"number",expr:!0,default:0},{name:"text",type:"field"},{name:"spiral",type:"string",values:["archimedean","rectangular"]},{name:"padding",type:"number",expr:!0},{name:"as",type:"string",array:!0,length:7,default:KC}]},hl(JC,nd,{transform(e,t){!e.size||e.size[0]&&e.size[1]||ss("Wordcloud size dimensions must be non-zero.");const n=e.modified();if(!(n||t.changed(t.ADD_REM)||ZC.some((function(n){const r=e[n];return Ks(r)&&t.modified(r.fields)}))))return;const r=t.materialize(t.SOURCE).source,i=this.value,a=e.as||KC;let 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n=this,i=n.bisect(n.range,e.value),a=e.index,o=i[0],s=i[1],l=a.length;let c;for(c=0;c<o;++c)t[a[c]]|=r;for(c=s;c<l;++c)t[a[c]]|=r;return n}}}function iN(){let e=tN(0),t=[],n=0;return{insert:function(r,i,a){if(!i.length)return[];const o=n,s=i.length,l=tN(s);let c,u,f,d=Array(s);for(f=0;f<s;++f)d[f]=r(i[f]),l[f]=f;if(d=function(e,t){return e.sort.call(t,((t,n)=>{const r=e[t],i=e[n];return r<i?-1:r>i?1:0})),function(e,t){return Array.from(t,(t=>e[t]))}(e,t)}(d,l),o)c=t,u=e,t=Array(o+s),e=tN(o+s),function(e,t,n,r,i,a,o,s,l){let c,u=0,f=0;for(c=0;u<r&&f<o;++c)t[u]<i[f]?(s[c]=t[u],l[c]=n[u++]):(s[c]=i[f],l[c]=a[f++]+e);for(;u<r;++u,++c)s[c]=t[u],l[c]=n[u];for(;f<o;++f,++c)s[c]=i[f],l[c]=a[f]+e}(a,c,u,o,d,l,s,t,e);else{if(a>0)for(f=0;f<s;++f)l[f]+=a;t=d,e=l}return n=o+s,{index:l,value:d}},remove:function(r,i){const a=n;let o,s,l;for(s=0;!i[e[s]]&&s<a;++s);for(l=s;s<a;++s)i[o=e[s]]||(e[l]=o,t[l]=t[s],++l);n=a-r},bisect:function(e,r){let i;return 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i=(e,t)=>null!=e?(n.update[t]=LB(BI(e),n.update[t]),!1):!qI(t,r),a=i(e("titleX"),"x"),o=i(e("titleY"),"y");n.enter.auto=o===a?BI(o):yB(t,BI(o),BI(a))}(i,a,c,n),c.update.align=LB(c.update.align,s.align),c.update.angle=LB(c.update.angle,s.angle),c.update.baseline=LB(c.update.baseline,s.baseline),Az({type:mz,role:QI,style:ez,from:r,encode:c},n)}function BB(e,t){const n=function(e,t){var n,r,i,a=t.config,o=a.style,s=a.axis,l="band"===t.scaleType(e.scale)&&a.axisBand,c=e.orient;if(Dj(c)){const e=DB([a.axisX,a.axisY]),t=DB([a.axisTop,a.axisBottom,a.axisLeft,a.axisRight]);for(i of(n={},e))n[i]=yB(c,PB(i,a.axisX,s,o),PB(i,a.axisY,s,o));for(i of(r={},t))r[i]=CB(c.signal,PB(i,a.axisTop,s,o),PB(i,a.axisBottom,s,o),PB(i,a.axisLeft,s,o),PB(i,a.axisRight,s,o))}else n=c===zF||c===$F?a.axisX:a.axisY,r=a["axis"+c[0].toUpperCase()+c.slice(1)];return n||r||l?al({},s,n,r,l):s}(e,t),r=e.encode||{},i=r.axis||{},a=i.name||void 0,o=i.interactive,s=i.style,l=vz(e,n),c=function(e){const t=e("tickBand");let n,r,i=e("tickOffset");return t?t.signal?(n={signal:`(${t.signal}) === 'extent' ? 1 : 0.5`},r={signal:`(${t.signal}) === 'extent'`},ks(i)||(i={signal:`(${t.signal}) === 'extent' ? 0 : ${i}`})):"extent"===t?(n=1,r=!0,i=0):(n=.5,r=!1):(n=e("bandPosition"),r=e("tickExtra")),{extra:r,band:n,offset:i}}(l),u={scale:e.scale,ticks:!!l("ticks"),labels:!!l("labels"),grid:!!l("grid"),domain:!!l("domain"),title:null!=e.title},f=Mj(t.add(Jj({},[u]))),d=Mj(t.add(Kj({scale:t.scaleRef(e.scale),extra:t.property(c.extra),count:t.objectProperty(e.tickCount),values:t.objectProperty(e.values),minstep:t.property(e.tickMinStep),formatType:t.property(e.formatType),formatSpecifier:t.property(e.format)}))),h=[];let p;return u.grid&&h.push(jB(e,n,r.grid,d,c)),u.ticks&&(p=l("tickSize"),h.push(function(e,t,n,r,i,a){const o=vz(e,t),s=e.orient,l=vB(s,-1,1);let c,u,f;const d={enter:c={opacity:cz},update:f={opacity:uz},exit:u={opacity:cz}};$I(d,{stroke:o("tickColor"),strokeCap:o("tickCap"),strokeDash:o("tickDash"),strokeDashOffset:o("tickDashOffset"),strokeOpacity:o("tickOpacity"),strokeWidth:o("tickWidth")});const h=BI(i);h.mult=l;const p={scale:e.scale,field:JF,band:a.band,extra:a.extra,offset:a.offset,round:o("tickRound")};return f.y=c.y=yB(s,cz,p),f.y2=c.y2=yB(s,h),u.x=yB(s,p),f.x=c.x=bB(s,cz,p),f.x2=c.x2=bB(s,h),u.y=bB(s,p),Az({type:hz,role:JI,key:JF,from:r,encode:d},n)}(e,n,r.ticks,d,p,c))),u.labels&&(p=u.ticks?p:0,h.push(function(e,t,n,r,i,a){const o=vz(e,t),s=e.orient,l=e.scale,c=vB(s,-1,1),u=Fj(o("labelFlush")),f=Fj(o("labelFlushOffset")),d=o("labelAlign"),h=o("labelBaseline");let p,m=0===u||!!u;const g=BI(i);g.mult=c,g.offset=BI(o("labelPadding")||0),g.offset.mult=c;const v={scale:l,field:JF,band:.5,offset:_z(a.offset,o("labelOffset"))},y=yB(s,m?FB(l,u,'"left"','"right"','"center"'):{value:"center"},_B(s,"left","right")),b=yB(s,xB(s,"bottom","top"),m?FB(l,u,'"top"','"bottom"','"middle"'):{value:"middle"}),x=FB(l,u,`-(${f})`,f,0);m=m&&f;const _={opacity:cz,x:yB(s,v,g),y:bB(s,v,g)},A={enter:_,update:p={opacity:uz,text:{field:YF},x:_.x,y:_.y,align:y,baseline:b},exit:{opacity:cz,x:_.x,y:_.y}};$I(A,{dx:!d&&m?yB(s,x):null,dy:!h&&m?bB(s,x):null}),$I(A,{angle:o("labelAngle"),fill:o("labelColor"),fillOpacity:o("labelOpacity"),font:o("labelFont"),fontSize:o("labelFontSize"),fontWeight:o("labelFontWeight"),fontStyle:o("labelFontStyle"),limit:o("labelLimit"),lineHeight:o("labelLineHeight")},{align:d,baseline:h});const w=o("labelBound");let k=o("labelOverlap");return k=k||w?{separation:o("labelSeparation"),method:k,order:"datum.index",bound:w?{scale:l,orient:s,tolerance:w}:null}:void 0,p.align!==y&&(p.align=LB(p.align,y)),p.baseline!==b&&(p.baseline=LB(p.baseline,b)),Az({type:mz,role:ZI,style:QF,key:JF,from:r,encode:A,overlap:k},n)}(e,n,r.labels,d,p,c))),u.domain&&h.push(function(e,t,n,r){const i=vz(e,t),a=e.orient;let o,s;const l={enter:o={opacity:cz},update:s={opacity:uz},exit:{opacity:cz}};$I(l,{stroke:i("domainColor"),strokeCap:i("domainCap"),strokeDash:i("domainDash"),strokeDashOffset:i("domainDashOffset"),strokeWidth:i("domainWidth"),strokeOpacity:i("domainOpacity")});const c=IB(e,0),u=IB(e,1);return o.x=s.x=yB(a,c,cz),o.x2=s.x2=yB(a,u),o.y=s.y=bB(a,c,cz),o.y2=s.y2=bB(a,u),Az({type:hz,role:XI,from:r,encode:l},n)}(e,n,r.domain,f)),u.title&&h.push(zB(e,n,r.title,f)),oB(gz({role:YI,from:f,encode:HI(UB(l,e),i,lz),marks:h,aria:l("aria"),description:l("description"),zindex:l("zindex"),name:a,interactive:o,style:s}),t)}function UB(e,t){const n={enter:{},update:{}};return $I(n,{orient:e("orient"),offset:e("offset")||0,position:jj(t.position,0),titlePadding:e("titlePadding"),minExtent:e("minExtent"),maxExtent:e("maxExtent"),range:{signal:`abs(span(range("${t.scale}")))`},translate:e("translate"),format:t.format,formatType:t.formatType}),n}function $B(e,t,n){const r=Ys(e.signals),i=Ys(e.scales);return n||r.forEach((e=>wj(e,t))),Ys(e.projections).forEach((e=>function(e,t){const n=t.config.projection||{},r={};for(const n in e)"name"!==n&&(r[n]=FF(e[n],n,t));for(const e in n)null==r[e]&&(r[e]=FF(n[e],e,t));t.addProjection(e.name,r)}(e,t))),i.forEach((e=>function(e,t){const n=e.type||"linear";Tv(n)||ss("Unrecognized scale type: "+Ol(n)),t.addScale(e.name,{type:n,domain:void 0})}(e,t))),Ys(e.data).forEach((e=>hB(e,t))),i.forEach((e=>EF(e,t))),(n||r).forEach((e=>function(e,t){const n=t.getSignal(e.name);let r=e.update;e.init&&(r?ss("Signals can not include both init and update expressions."):(r=e.init,n.initonly=!0)),r&&(r=uD(r,t),n.update=r.$expr,n.params=r.$params),e.on&&e.on.forEach((e=>Wj(e,t,n.id)))}(e,t))),Ys(e.axes).forEach((e=>BB(e,t))),Ys(e.marks).forEach((e=>oB(e,t))),Ys(e.legends).forEach((e=>sB(e,t))),e.title&&fB(e.title,t),t.parseLambdas(),t}const HB=e=>HI({enter:{x:{value:0},y:{value:0}},update:{width:{signal:"width"},height:{signal:"height"}}},e);function qB(e,t){const n=t.config,r=Mj(t.root=t.add(Tj())),i=function(e,t){const n=n=>jj(e[n],t[n]),r=[VB("background",n("background")),VB("autosize",II(n("autosize"))),VB("padding",zI(n("padding"))),VB("width",n("width")||0),VB("height",n("height")||0)],i=r.reduce(((e,t)=>(e[t.name]=t,e)),{}),a={};return Ys(e.signals).forEach((e=>{cl(i,e.name)?e=al(i[e.name],e):r.push(e),a[e.name]=e})),Ys(t.signals).forEach((e=>{cl(a,e.name)||cl(i,e.name)||r.push(e)})),r}(e,n);i.forEach((e=>wj(e,t))),t.description=e.description||n.description,t.eventConfig=n.events,t.legends=t.objectProperty(n.legend&&n.legend.layout),t.locale=n.locale;const a=t.add(Jj()),o=t.add(tF(vj(HB(e.encode),fz,WI,e.style,t,{pulse:Mj(a)}))),s=t.add(_F({layout:t.objectProperty(e.layout),legends:t.legends,autosize:t.signalRef("autosize"),mark:r,pulse:Mj(o)}));t.operators.pop(),t.pushState(Mj(o),Mj(s),null),$B(e,t,i),t.operators.push(s);let l=t.add(Zj({mark:r,pulse:Mj(s)}));return l=t.add(vF({pulse:Mj(l)})),l=t.add(bF({pulse:Mj(l)})),t.addData("root",new tB(t,a,a,l)),t}function VB(e,t){return t&&t.signal?{name:e,update:t.signal}:{name:e,value:t}}function WB(e,t){this.config=e||{},this.options=t||{},this.bindings=[],this.field={},this.signals={},this.lambdas={},this.scales={},this.events={},this.data={},this.streams=[],this.updates=[],this.operators=[],this.eventConfig=null,this.locale=null,this._id=0,this._subid=0,this._nextsub=[0],this._parent=[],this._encode=[],this._lookup=[],this._markpath=[]}function GB(e){this.config=e.config,this.options=e.options,this.legends=e.legends,this.field=Object.create(e.field),this.signals=Object.create(e.signals),this.lambdas=Object.create(e.lambdas),this.scales=Object.create(e.scales),this.events=Object.create(e.events),this.data=Object.create(e.data),this.streams=[],this.updates=[],this.operators=[],this._id=0,this._subid=++e._nextsub[0],this._nextsub=e._nextsub,this._parent=e._parent.slice(),this._encode=e._encode.slice(),this._lookup=e._lookup.slice(),this._markpath=e._markpath}function YB(e){return(ws(e)?XB:KB)(e)}function XB(e){const t=e.length;let n="[";for(let r=0;r<t;++r){const t=e[r];n+=(r>0?",":"")+(ks(t)?t.signal||YB(t):Ol(t))}return n+"]"}function KB(e){let t,n,r="{",i=0;for(t in e)n=e[t],r+=(++i>1?",":"")+Ol(t)+":"+(ks(n)?n.signal||YB(n):Ol(n));return r+"}"}function ZB(e,t,n){return ks(e)||ss("Input Vega specification must be an object."),t=Ts(function(){const e="sans-serif",t="#4c78a8",n="#000",r="#888",i="#ddd";return{description:"Vega visualization",padding:0,autosize:"pad",background:null,events:{defaults:{allow:["wheel"]}},group:null,mark:null,arc:{fill:t},area:{fill:t},image:null,line:{stroke:t,strokeWidth:2},path:{stroke:t},rect:{fill:t},rule:{stroke:n},shape:{stroke:t},symbol:{fill:t,size:64},text:{fill:n,font:e,fontSize:11},trail:{fill:t,size:2},style:{"guide-label":{fill:n,font:e,fontSize:10},"guide-title":{fill:n,font:e,fontSize:11,fontWeight:"bold"},"group-title":{fill:n,font:e,fontSize:13,fontWeight:"bold"},"group-subtitle":{fill:n,font:e,fontSize:12},point:{size:30,strokeWidth:2,shape:"circle"},circle:{size:30,strokeWidth:2},square:{size:30,strokeWidth:2,shape:"square"},cell:{fill:"transparent",stroke:i},view:{fill:"transparent"}},title:{orient:"top",anchor:"middle",offset:4,subtitlePadding:3},axis:{minExtent:0,maxExtent:200,bandPosition:.5,domain:!0,domainWidth:1,domainColor:r,grid:!1,gridWidth:1,gridColor:i,labels:!0,labelAngle:0,labelLimit:180,labelOffset:0,labelPadding:2,ticks:!0,tickColor:r,tickOffset:0,tickRound:!0,tickSize:5,tickWidth:1,titlePadding:4},axisBand:{tickOffset:-.5},projection:{type:"mercator"},legend:{orient:"right",padding:0,gridAlign:"each",columnPadding:10,rowPadding:2,symbolDirection:"vertical",gradientDirection:"vertical",gradientLength:200,gradientThickness:16,gradientStrokeColor:i,gradientStrokeWidth:0,gradientLabelOffset:2,labelAlign:"left",labelBaseline:"middle",labelLimit:160,labelOffset:4,labelOverlap:!0,symbolLimit:30,symbolType:"circle",symbolSize:100,symbolOffset:0,symbolStrokeWidth:1.5,symbolBaseFillColor:"transparent",symbolBaseStrokeColor:r,titleLimit:180,titleOrient:"top",titlePadding:5,layout:{offset:18,direction:"horizontal",left:{direction:"vertical"},right:{direction:"vertical"}}},range:{category:{scheme:"tableau10"},ordinal:{scheme:"blues"},heatmap:{scheme:"yellowgreenblue"},ramp:{scheme:"blues"},diverging:{scheme:"blueorange",extent:[1,0]},symbol:["circle","square","triangle-up","cross","diamond","triangle-right","triangle-down","triangle-left"]}}}(),t,e.config),qB(e,new WB(t,n)).toRuntime()}WB.prototype=GB.prototype={parse(e){return $B(e,this)},fork(){return new GB(this)},isSubscope(){return this._subid>0},toRuntime(){return this.finish(),{description:this.description,operators:this.operators,streams:this.streams,updates:this.updates,bindings:this.bindings,eventConfig:this.eventConfig,locale:this.locale}},id(){return(this._subid?this._subid+":":0)+this._id++},add(e){return this.operators.push(e),e.id=this.id(),e.refs&&(e.refs.forEach((t=>{t.$ref=e.id})),e.refs=null),e},proxy(e){const t=e instanceof kj?Mj(e):e;return this.add(mF({value:t}))},addStream(e){return this.streams.push(e),e.id=this.id(),e},addUpdate(e){return this.updates.push(e),e},finish(){let e,t;for(e in this.root&&(this.root.root=!0),this.signals)this.signals[e].signal=e;for(e in this.scales)this.scales[e].scale=e;function n(e,t,n){let r,i;e&&(r=e.data||(e.data={}),i=r[t]||(r[t]=[]),i.push(n))}for(e in this.data){t=this.data[e],n(t.input,e,"input"),n(t.output,e,"output"),n(t.values,e,"values");for(const r in t.index)n(t.index[r],e,"index:"+r)}return this},pushState(e,t,n){this._encode.push(Mj(this.add(bF({pulse:e})))),this._parent.push(t),this._lookup.push(n?Mj(this.proxy(n)):null),this._markpath.push(-1)},popState(){this._encode.pop(),this._parent.pop(),this._lookup.pop(),this._markpath.pop()},parent(){return Os(this._parent)},encode(){return Os(this._encode)},lookup(){return Os(this._lookup)},markpath(){const e=this._markpath;return++e[e.length-1]},fieldRef(e,t){if(xl(e))return Sj(e,t);e.signal||ss("Unsupported field reference: "+Ol(e));const n=e.signal;let r=this.field[n];if(!r){const e={name:this.signalRef(n)};t&&(e.as=t),this.field[n]=r=Mj(this.add(iF(e)))}return r},compareRef(e){let t=!1;const n=e=>Dj(e)?(t=!0,this.signalRef(e.signal)):function(e){return e&&e.expr}(e)?(t=!0,this.exprRef(e.expr)):e,r=Ys(e.field).map(n),i=Ys(e.order).map(n);return t?Mj(this.add(Qj({fields:r,orders:i}))):Cj(r,i)},keyRef(e,t){let n=!1;const r=this.signals;return e=Ys(e).map((e=>Dj(e)?(n=!0,Mj(r[e.signal])):e)),n?Mj(this.add(aF({fields:e,flat:t}))):function(e,t){const n={$key:e};return t&&(n.$flat=!0),n}(e,t)},sortRef(e){if(!e)return e;const t=Rj(e.op,e.field),n=e.order||"ascending";return n.signal?Mj(this.add(Qj({fields:t,orders:this.signalRef(n.signal)}))):Cj(t,n)},event(e,t){const n=e+":"+t;if(!this.events[n]){const r=this.id();this.streams.push({id:r,source:e,type:t}),this.events[n]=r}return this.events[n]},hasOwnSignal(e){return cl(this.signals,e)},addSignal(e,t){this.hasOwnSignal(e)&&ss("Duplicate signal name: "+Ol(e));const n=t instanceof kj?t:this.add(Tj(t));return this.signals[e]=n},getSignal(e){return this.signals[e]||ss("Unrecognized signal name: "+Ol(e)),this.signals[e]},signalRef(e){return this.signals[e]?Mj(this.signals[e]):(cl(this.lambdas,e)||(this.lambdas[e]=this.add(Tj(null))),Mj(this.lambdas[e]))},parseLambdas(){const e=Object.keys(this.lambdas);for(let t=0,n=e.length;t<n;++t){const n=e[t],r=uD(n,this),i=this.lambdas[n];i.params=r.$params,i.update=r.$expr}},property(e){return e&&e.signal?this.signalRef(e.signal):e},objectProperty(e){return e&&ks(e)?this.signalRef(e.signal||YB(e)):e},exprRef(e,t){const n={expr:uD(e,this)};return t&&(n.expr.$name=t),Mj(this.add(nF(n)))},addBinding(e,t){this.bindings||ss("Nested signals do not support binding: "+Ol(e)),this.bindings.push(al({signal:e},t))},addScaleProj(e,t){cl(this.scales,e)&&ss("Duplicate scale or projection name: "+Ol(e)),this.scales[e]=this.add(t)},addScale(e,t){this.addScaleProj(e,yF(t))},addProjection(e,t){this.addScaleProj(e,pF(t))},getScale(e){return this.scales[e]||ss("Unrecognized scale name: "+Ol(e)),this.scales[e]},scaleRef(e){return Mj(this.getScale(e))},scaleType(e){return this.getScale(e).params.type},projectionRef(e){return this.scaleRef(e)},projectionType(e){return this.scaleType(e)},addData(e,t){return cl(this.data,e)&&ss("Duplicate 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0)),o=g0(a,e.field),{signal:s,extentSignal:l}=function(e,t){return{signal:e.getName(`${t}_bins`),extentSignal:e.getName(`${t}_extent`)}}(n,o);if(_q(a.extent)){const e=a.extent;i=oQ(n,e.param,e),delete a.extent}return{key:o,binComponent:Object.assign(Object.assign(Object.assign({bin:a,field:e.field,as:[r]},s?{signal:s}:{}),l?{extentSignal:l}:{}),i?{span:i}:{})}}class b0 extends IZ{clone(){return new b0(null,_U(this.bins))}constructor(e,t){super(e),this.bins=t}static makeFromEncoding(e,t){const n=t.reduceFieldDef(((e,n,r)=>{if(oY(n)&&yq(n.bin)){const{key:i,binComponent:a}=y0(n,n.bin,t);e[i]=Object.assign(Object.assign(Object.assign({},a),e[i]),function(e,t,n,r){var i,a;if(RY(t,n)){const o=U1(e)&&null!==(a=null!==(i=e.axis(n))&&void 0!==i?i:e.legend(n))&&void 0!==a?a:{},s=hY(t,{expr:"datum"}),l=hY(t,{expr:"datum",binSuffix:"end"});return{formulaAs:hY(t,{binSuffix:"range",forAs:!0}),formula:DG(s,l,o.format,o.formatType,r)}}return{}}(t,n,r,t.config))}return e}),{});return zU(n)?null:new b0(e,n)}static makeFromTransform(e,t,n){const{key:r,binComponent:i}=y0(t,t.bin,n);return new b0(e,{[r]:i})}merge(e,t){for(const n of BU(e.bins))n in this.bins?(t(e.bins[n].signal,this.bins[n].signal),this.bins[n].as=LU([...this.bins[n].as,...e.bins[n].as],TU)):this.bins[n]=e.bins[n];for(const t of e.children)e.removeChild(t),t.parent=this;e.remove()}producedFields(){return new Set(UU(this.bins).map((e=>e.as)).flat(2))}dependentFields(){return new Set(UU(this.bins).map((e=>e.field)))}hash(){return`Bin ${TU(this.bins)}`}assemble(){return UU(this.bins).flatMap((e=>{const t=[],[n,...r]=e.as,i=e.bin,{extent:a}=i,o=m0(i,["extent"]),s=Object.assign(Object.assign(Object.assign({type:"bin",field:ZU(e.field),as:n,signal:e.signal},_q(a)?{extent:null}:{extent:a}),e.span?{span:{signal:`span(${e.span})`}}:{}),o);!a&&e.extentSignal&&(t.push({type:"extent",field:ZU(e.field),signal:e.extentSignal}),s.extent={signal:e.extentSignal}),t.push(s);for(const e of r)for(let 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n?(t.forEachFieldDef(((e,n)=>{var a,o,s,l;const{aggregate:c,field:u}=e;if(c)if("count"===c)null!==(a=r["*"])&&void 0!==a||(r["*"]={}),r["*"].count=new Set([hY(e,{forAs:!0})]);else{if(uq(c)||fq(c)){const e=uq(c)?"argmin":"argmax",t=c[e];null!==(o=r[t])&&void 0!==o||(r[t]={}),r[t][e]=new Set([hY({op:e,field:t},{forAs:!0})])}else null!==(s=r[u])&&void 0!==s||(r[u]={}),r[u][c]=new Set([hY(e,{forAs:!0})]);nq(n)&&"unaggregated"===t.scaleDomain(n)&&(null!==(l=r[u])&&void 0!==l||(r[u]={}),r[u].min=new Set([hY({field:u,aggregate:"min"},{forAs:!0})]),r[u].max=new Set([hY({field:u,aggregate:"max"},{forAs:!0})]))}else x0(i,n,e,t)})),i.size+BU(r).length===0?null:new _0(e,i,r)):null}static makeFromTransform(e,t){var n,r,i;const a=new Set,o={};for(const e of t.aggregate){const{op:t,field:i,as:a}=e;t&&("count"===t?(null!==(n=o["*"])&&void 0!==n||(o["*"]={}),o["*"].count=new Set([a||hY(e,{forAs:!0})])):(null!==(r=o[i])&&void 0!==r||(o[i]={}),o[i][t]=new Set([a||hY(e,{forAs:!0})])))}for(const e of null!==(i=t.groupby)&&void 0!==i?i:[])a.add(e);return a.size+BU(o).length===0?null:new _0(e,a,o)}merge(e){return DU(this.dimensions,e.dimensions)?(function(e,t){var n;for(const r of BU(t)){const i=t[r];for(const t of BU(i))r in e?e[r][t]=new Set([...null!==(n=e[r][t])&&void 0!==n?n:[],...i[t]]):e[r]={[t]:i[t]}}}(this.measures,e.measures),!0):(function(...e){NV.debug(...e)}("different dimensions, cannot merge"),!1)}addDimensions(e){e.forEach(this.dimensions.add,this.dimensions)}dependentFields(){return new Set([...this.dimensions,...BU(this.measures)])}producedFields(){const e=new Set;for(const t of BU(this.measures))for(const n of BU(this.measures[t])){const r=this.measures[t][n];0===r.size?e.add(`${n}_${t}`):r.forEach(e.add,e)}return e}hash(){return`Aggregate ${TU({dimensions:this.dimensions,measures:this.measures})}`}assemble(){const e=[],t=[],n=[];for(const r of BU(this.measures))for(const i of BU(this.measures[r]))for(const a of this.measures[r][i])n.push(a),e.push(i),t.push("*"===r?null:ZU(r));return{type:"aggregate",groupby:[...this.dimensions].map(ZU),ops:e,fields:t,as:n}}}class A0 extends IZ{constructor(e,t,n,r){super(e),this.model=t,this.name=n,this.data=r;for(const e of Q$){const n=t.facet[e];if(n){const{bin:r,sort:i}=n;this[e]=Object.assign({name:t.getName(`${e}_domain`),fields:[hY(n),...yq(r)?[hY(n,{binSuffix:"end"})]:[]]},BG(i)?{sortField:i}:ws(i)?{sortIndexField:_Q(n,e)}:{})}}this.childModel=t.child}hash(){let e="Facet";for(const t of Q$)this[t]&&(e+=` ${t.charAt(0)}:${TU(this[t])}`);return e}get fields(){var e;const t=[];for(const n of Q$)(null===(e=this[n])||void 0===e?void 0:e.fields)&&t.push(...this[n].fields);return t}dependentFields(){const e=new Set(this.fields);for(const t of Q$)this[t]&&(this[t].sortField&&e.add(this[t].sortField.field),this[t].sortIndexField&&e.add(this[t].sortIndexField));return e}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const e={};for(const t of jH){const n=this.childModel.component.scales[t];if(n&&!n.merged){const r=n.get("type"),i=n.get("range");if(OW(r)&&Oq(i)){const n=g1(v1(this.childModel,t));n?e[t]=n:LV(nV(t))}}}return e}assembleRowColumnHeaderData(e,t,n){const r={row:"y",column:"x",facet:void 0}[e],i=[],a=[],o=[];r&&n&&n[r]&&(t?(i.push(`distinct_${n[r]}`),a.push("max")):(i.push(n[r]),a.push("distinct")),o.push(`distinct_${n[r]}`));const{sortField:s,sortIndexField:l}=this[e];if(s){const{op:e=IG,field:t}=s;i.push(t),a.push(e),o.push(hY(s,{forAs:!0}))}else l&&(i.push(l),a.push("max"),o.push(l));return{name:this[e].name,source:null!=t?t:this.data,transform:[Object.assign({type:"aggregate",groupby:this[e].fields},i.length?{fields:i,ops:a,as:o}:{})]}}assembleFacetHeaderData(e){var t,n;const{columns:r}=this.model.layout,{layoutHeaders:i}=this.model.component,a=[],o={};for(const e of EQ){for(const r of TQ){const a=null!==(t=i[e]&&i[e][r])&&void 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this._parse}merge(e){this._parse=Object.assign(Object.assign({},this._parse),e.parse),e.remove()}assembleFormatParse(){const e={};for(const t of BU(this._parse)){const n=this._parse[t];1===e$(t)&&(e[t]=n)}return e}producedFields(){return new Set(BU(this._parse))}dependentFields(){return new Set(BU(this._parse))}assembleTransforms(e=!1){return BU(this._parse).filter((t=>!e||e$(t)>1)).map((e=>{const t=function(e,t){const n=YU(e);if("number"===t)return`toNumber(${n})`;if("boolean"===t)return`toBoolean(${n})`;if("string"===t)return`toString(${n})`;if("date"===t)return`toDate(${n})`;if("flatten"===t)return n;if(t.startsWith("date:"))return`timeParse(${n},'${w0(t.slice(5,t.length))}')`;if(t.startsWith("utc:"))return`utcParse(${n},'${w0(t.slice(4,t.length))}')`;return LV(`Unrecognized parse "${t}".`),null}(e,this._parse[e]);if(!t)return null;return{type:"formula",expr:t,as:QU(e)}})).filter((e=>null!==e))}}class M0 extends IZ{clone(){return new M0(null)}constructor(e){super(e)}dependentFields(){return new Set}producedFields(){return new Set([LX])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:LX}}}class S0 extends IZ{clone(){return new S0(null,this.params)}constructor(e,t){super(e),this.params=t}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${TU(this.params)}`}assemble(){return Object.assign({type:"graticule"},!0===this.params?{}:this.params)}}class O0 extends IZ{clone(){return new O0(null,this.params)}constructor(e,t){super(e),this.params=t}dependentFields(){return new Set}producedFields(){var e;return new Set([null!==(e=this.params.as)&&void 0!==e?e:"data"])}hash(){return`Hash ${TU(this.params)}`}assemble(){return Object.assign({type:"sequence"},this.params)}}class C0 extends IZ{constructor(e){let t;if(super(null),null!=e||(e={name:"source"}),TZ(e)||(t=e.format?Object.assign({},kU(e.format,["parse"])):{}),kZ(e))this._data={values:e.values};else if(wZ(e)){if(this._data={url:e.url},!t.type){let n=/(?:\.([^.]+))?$/.exec(e.url)[1];SU(["json","csv","tsv","dsv","topojson"],n)||(n="json"),t.type=n}}else SZ(e)?this._data={values:[{type:"Sphere"}]}:(EZ(e)||TZ(e))&&(this._data={});this._generator=TZ(e),e.name&&(this._name=e.name),t&&!zU(t)&&(this._data.format=t)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(e){this._name=e}set parent(e){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return Object.assign(Object.assign({name:this._name},this._data),{transform:[]})}}var N0,R0=function(e,t,n,r,i){if("m"===r)throw new TypeError("Private method is not writable");if("a"===r&&!i)throw new TypeError("Private accessor was defined without a setter");if("function"==typeof t?e!==t||!i:!t.has(e))throw new TypeError("Cannot write private member to an object whose class did not declare it");return"a"===r?i.call(e,n):i?i.value=n:t.set(e,n),n},L0=function(e,t,n,r){if("a"===n&&!r)throw new TypeError("Private accessor was defined without a getter");if("function"==typeof t?e!==t||!r:!t.has(e))throw new TypeError("Cannot read private member from an object whose class did not declare it");return"m"===n?r:"a"===n?r.call(e):r?r.value:t.get(e)};function P0(e){return e instanceof C0||e instanceof S0||e instanceof O0}class D0{constructor(){N0.set(this,void 0),R0(this,N0,!1,"f")}setModified(){R0(this,N0,!0,"f")}get modifiedFlag(){return L0(this,N0,"f")}}N0=new WeakMap;class I0 extends D0{getNodeDepths(e,t,n){n.set(e,t);for(const r of e.children)this.getNodeDepths(r,t+1,n);return n}optimize(e){const t=[...this.getNodeDepths(e,0,new Map).entries()].sort(((e,t)=>t[1]-e[1]));for(const e of t)this.run(e[0]);return this.modifiedFlag}}class j0 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j0{constructor(){super()}run(e){e instanceof jZ&&!e.isRequired()&&(this.setModified(),e.remove())}}class $0 extends I0{run(e){if(!(P0(e)||e.numChildren()>1))for(const t of e.children)if(t instanceof T0)if(e instanceof T0)this.setModified(),e.merge(t);else{if(FU(e.producedFields(),t.dependentFields()))continue;this.setModified(),t.swapWithParent()}}}class H0 extends I0{run(e){const t=[...e.children],n=e.children.filter((e=>e instanceof T0));if(e.numChildren()>1&&n.length>=1){const r={},i=new Set;for(const e of n){const t=e.parse;for(const e of BU(t))e in r?r[e]!==t[e]&&i.add(e):r[e]=t[e]}for(const e of i)delete r[e];if(!zU(r)){this.setModified();const n=new T0(e,r);for(const i of t){if(i instanceof T0)for(const e of BU(r))delete i.parse[e];e.removeChild(i),i.parent=n,i instanceof T0&&0===BU(i.parse).length&&i.remove()}}}}}class q0 extends I0{run(e){e instanceof jZ||e.numChildren()>0||e instanceof A0||e instanceof C0||(this.setModified(),e.remove())}}class V0 extends I0{run(e){const t=e.children.filter((e=>e instanceof zZ)),n=t.pop();for(const e of t)this.setModified(),n.merge(e)}}class W0 extends I0{run(e){const t=e.children.filter((e=>e instanceof _0)),n={};for(const e of t){const t=TU(e.groupBy);t in n||(n[t]=[]),n[t].push(e)}for(const t of BU(n)){const r=n[t];if(r.length>1){const t=r.pop();for(const n of r)t.merge(n)&&(e.removeChild(n),n.parent=t,n.remove(),this.setModified())}}}}class G0 extends I0{constructor(e){super(),this.model=e}run(e){const t=!(P0(e)||e instanceof iQ||e instanceof T0||e instanceof M0),n=[],r=[];for(const i of e.children)i instanceof b0&&(t&&!FU(e.producedFields(),i.dependentFields())?n.push(i):r.push(i));if(n.length>0){const t=n.pop();for(const e of n)t.merge(e,this.model.renameSignal.bind(this.model));this.setModified(),e instanceof b0?e.merge(t,this.model.renameSignal.bind(this.model)):t.swapWithParent()}if(r.length>1){const e=r.pop();for(const t of r)e.merge(t,this.model.renameSignal.bind(this.model));this.setModified()}}}class Y0 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null;const{groupbyChannels:i,fieldChannel:a,offset:o,impute:s}=n,l=i.map((e=>AY(r[e]))).filter((e=>!!e)),c=function(e){return e.stack.stackBy.reduce(((e,t)=>{const n=hY(t.fieldDef);return n&&e.push(n),e}),[])}(t),u=t.encoding.order;let f;return f=ws(u)||eY(u)?Gq(u):c.reduce(((e,t)=>(e.field.push(t),e.order.push("y"===a?"descending":"ascending"),e)),{field:[],order:[]}),new K0(e,{dimensionFieldDefs:l,stackField:t.vgField(a),facetby:[],stackby:c,sort:f,offset:o,impute:s,as:[t.vgField(a,{suffix:"start",forAs:!0}),t.vgField(a,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(e){this._stack.facetby.push(...e)}dependentFields(){const e=new Set;return e.add(this._stack.stackField),this.getGroupbyFields().forEach(e.add,e),this._stack.facetby.forEach(e.add,e),this._stack.sort.field.forEach(e.add,e),e}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${TU(this._stack)}`}getGroupbyFields(){const{dimensionFieldDefs:e,impute:t,groupby:n}=this._stack;return 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n[t]=(n[t]||0)+1,t}getSizeSignalRef(e){if($1(this.parent)){const t=UH(UQ(e)),n=this.component.scales[t];if(n&&!n.merged){const e=n.get("type"),r=n.get("range");if(OW(e)&&Oq(r)){const e=n.get("name"),r=g1(v1(this,t));if(r){return{signal:BQ(e,n,hY({aggregate:"distinct",field:r},{expr:"datum"}))}}return LV(nV(t)),null}}}return{signal:this.signalNameMap.get(this.getName(e))}}lookupDataSource(e){const t=this.component.data.outputNodes[e];return t?t.getSource():e}getSignalName(e){return this.signalNameMap.get(e)}renameSignal(e,t){this.signalNameMap.rename(e,t)}renameScale(e,t){this.scaleNameMap.rename(e,t)}renameProjection(e,t){this.projectionNameMap.rename(e,t)}scaleName(e,t){return t?this.getName(e):uH(e)&&nq(e)&&this.component.scales[e]||this.scaleNameMap.has(this.getName(e))?this.scaleNameMap.get(this.getName(e)):void 0}projectionName(e){return e?this.getName("projection"):this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection"))?this.projectionNameMap.get(this.getName("projection")):void 0}getScaleComponent(e){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const t=this.component.scales[e];return t&&!t.merged?t:this.parent?this.parent.getScaleComponent(e):void 0}getSelectionComponent(e,t){let n=this.component.selection[e];if(!n&&this.parent&&(n=this.parent.getSelectionComponent(e,t)),!n)throw new Error(function(e){return`Cannot find a selection named "${e}".`}(t));return n}hasAxisOrientSignalRef(){var e,t;return(null===(e=this.component.axes.x)||void 0===e?void 0:e.some((e=>e.hasOrientSignalRef())))||(null===(t=this.component.axes.y)||void 0===t?void 0:t.some((e=>e.hasOrientSignalRef())))}}class W1 extends V1{vgField(e,t={}){const n=this.fieldDef(e);if(n)return hY(n,t)}reduceFieldDef(e,t){return function(e,t,n,r){return e?BU(e).reduce(((n,i)=>{const a=e[i];return ws(a)?a.reduce(((e,n)=>t.call(r,e,n,i)),n):t.call(r,n,a,i)}),n):n}(this.getMapping(),((t,n,r)=>{const i=AY(n);return i?e(t,i,r):t}),t)}forEachFieldDef(e,t){ZY(this.getMapping(),((t,n)=>{const r=AY(t);r&&e(r,n)}),t)}}var G1=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var i=0;for(r=Object.getOwnPropertySymbols(e);i<r.length;i++)t.indexOf(r[i])<0&&Object.prototype.propertyIsEnumerable.call(e,r[i])&&(n[r[i]]=e[r[i]])}return n};class Y1 extends IZ{clone(){return new Y1(null,_U(this.transform))}constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=_U(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"value",null!==(i=a[1])&&void 0!==i?i:"density"],t.groupby&&null==t.minsteps&&null==t.maxsteps&&null==t.steps&&(this.transform.steps=200)}dependentFields(){var e;return new Set([this.transform.density,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${TU(this.transform)}`}assemble(){const e=this.transform,{density:t}=e,n=G1(e,["density"]);return Object.assign({type:"kde",field:t},n)}}class X1 extends IZ{clone(){return new X1(null,Object.assign({},this.filter))}constructor(e,t){super(e),this.filter=t}static make(e,t){const{config:n,mark:r,markDef:i}=t;if("filter"!==Hq("invalid",i,n))return null;const a=t.reduceFieldDef(((e,n,i)=>{const a=nq(i)&&t.getScaleComponent(i);if(a){CW(a.get("type"))&&"count"!==n.aggregate&&!oG(r)&&(e[n.field]=n)}return e}),{});return BU(a).length?new X1(e,a):null}dependentFields(){return new Set(BU(this.filter))}producedFields(){return new Set}hash(){return`FilterInvalid ${TU(this.filter)}`}assemble(){const e=BU(this.filter).reduce(((e,t)=>{const n=this.filter[t],r=hY(n,{expr:"datum"});return null!==n&&("temporal"===n.type?e.push(`(isDate(${r}) || (isValid(${r}) && isFinite(+${r})))`):"quantitative"===n.type&&(e.push(`isValid(${r})`),e.push(`isFinite(+${r})`))),e}),[]);return e.length>0?{type:"filter",expr:e.join(" && ")}:null}}class K1 extends IZ{clone(){return new K1(this.parent,_U(this.transform))}constructor(e,t){super(e),this.transform=t,this.transform=_U(t);const{flatten:n,as:r=[]}=this.transform;this.transform.as=n.map(((e,t)=>{var n;return null!==(n=r[t])&&void 0!==n?n:e}))}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${TU(this.transform)}`}assemble(){const{flatten:e,as:t}=this.transform;return{type:"flatten",fields:e,as:t}}}class Z1 extends IZ{clone(){return new Z1(null,_U(this.transform))}constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=_U(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"key",null!==(i=a[1])&&void 0!==i?i:"value"]}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${TU(this.transform)}`}assemble(){const{fold:e,as:t}=this.transform;return{type:"fold",fields:e,as:t}}}class J1 extends IZ{clone(){return new J1(null,_U(this.fields),this.geojson,this.signal)}static parseAll(e,t){if(t.component.projection&&!t.component.projection.isFit)return e;let n=0;for(const r of[[k$,w$],[T$,E$]]){const i=r.map((e=>{const n=wY(t.encoding[e]);return eY(n)?n.field:nY(n)?{expr:`${n.datum}`}:sY(n)?{expr:`${n.value}`}:void 0}));(i[0]||i[1])&&(e=new J1(e,i,null,t.getName("geojson_"+n++)))}if(t.channelHasField(C$)){const r=t.typedFieldDef(C$);r.type===gW&&(e=new J1(e,null,r.field,t.getName("geojson_"+n++)))}return e}constructor(e,t,n,r){super(e),this.fields=t,this.geojson=n,this.signal=r}dependentFields(){var e;const t=(null!==(e=this.fields)&&void 0!==e?e:[]).filter(xl);return new Set([...this.geojson?[this.geojson]:[],...t])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${TU(this.fields)}`}assemble(){return[...this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[],Object.assign(Object.assign(Object.assign({type:"geojson"},this.fields?{fields:this.fields}:{}),this.geojson?{geojson:this.geojson}:{}),{signal:this.signal})]}}class Q1 extends IZ{clone(){return new Q1(null,this.projection,_U(this.fields),_U(this.as))}constructor(e,t,n,r){super(e),this.projection=t,this.fields=n,this.as=r}static parseAll(e,t){if(!t.projectionName())return e;for(const n of[[k$,w$],[T$,E$]]){const r=n.map((e=>{const n=wY(t.encoding[e]);return eY(n)?n.field:nY(n)?{expr:`${n.datum}`}:sY(n)?{expr:`${n.value}`}:void 0})),i=n[0]===T$?"2":"";(r[0]||r[1])&&(e=new Q1(e,t.projectionName(),r,[t.getName(`x${i}`),t.getName(`y${i}`)]))}return e}dependentFields(){return new Set(this.fields.filter(xl))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${TU(this.fields)} ${TU(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class e2 extends IZ{clone(){return new e2(null,_U(this.transform))}constructor(e,t){super(e),this.transform=t}dependentFields(){var e;return new Set([this.transform.impute,this.transform.key,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set([this.transform.impute])}processSequence(e){const{start:t=0,stop:n,step:r}=e;return{signal:`sequence(${[t,n,...r?[r]:[]].join(",")})`}}static makeFromTransform(e,t){return new e2(e,t)}static makeFromEncoding(e,t){const n=t.encoding,r=n.x,i=n.y;if(eY(r)&&eY(i)){const a=r.impute?r:i.impute?i:void 0;if(void 0===a)return;const o=r.impute?i:i.impute?r:void 0,{method:s,value:l,frame:c,keyvals:u}=a.impute,f=JY(t.mark,n);return new e2(e,Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({impute:a.field,key:o.field},s?{method:s}:{}),void 0!==l?{value:l}:{}),c?{frame:c}:{}),void 0!==u?{keyvals:u}:{}),f.length?{groupby:f}:{}))}return null}hash(){return`Impute ${TU(this.transform)}`}assemble(){const{impute:e,key:t,keyvals:n,method:r,groupby:i,value:a,frame:o=[null,null]}=this.transform,s=Object.assign(Object.assign(Object.assign(Object.assign({type:"impute",field:e,key:t},n?{keyvals:FK(n)?this.processSequence(n):n}:{}),{method:"value"}),i?{groupby:i}:{}),{value:r&&"value"!==r?null:a});if(r&&"value"!==r){return[s,Object.assign({type:"window",as:[`imputed_${e}_value`],ops:[r],fields:[e],frame:o,ignorePeers:!1},i?{groupby:i}:{}),{type:"formula",expr:`datum.${e} === null ? datum.imputed_${e}_value : datum.${e}`,as:e}]}return[s]}}var t2=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var i=0;for(r=Object.getOwnPropertySymbols(e);i<r.length;i++)t.indexOf(r[i])<0&&Object.prototype.propertyIsEnumerable.call(e,r[i])&&(n[r[i]]=e[r[i]])}return n};class n2 extends IZ{clone(){return new n2(null,_U(this.transform))}constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=_U(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:t.on,null!==(i=a[1])&&void 0!==i?i:t.loess]}dependentFields(){var e;return new Set([this.transform.loess,this.transform.on,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${TU(this.transform)}`}assemble(){const e=this.transform,{loess:t,on:n}=e,r=t2(e,["loess","on"]);return Object.assign({type:"loess",x:n,y:t},r)}}class r2 extends IZ{clone(){return new r2(null,_U(this.transform),this.secondary)}constructor(e,t,n){super(e),this.transform=t,this.secondary=n}static make(e,t,n,r){const i=t.component.data.sources,{from:a}=n;let o=null;if(function(e){return"data"in e}(a)){let e=x2(a.data,i);e||(e=new C0(a.data),i.push(e));const n=t.getName(`lookup_${r}`);o=new jZ(e,n,CZ.Lookup,t.component.data.outputNodeRefCounts),t.component.data.outputNodes[n]=o}else if(function(e){return"param"in e}(a)){const e=a.param;let r;n=Object.assign({as:e},n);try{r=t.getSelectionComponent(qU(e),e)}catch(t){throw new Error(function(e){return`Lookups can only be performed on selection parameters. "${e}" is a variable parameter.`}(e))}if(o=r.materialized,!o)throw new Error(function(e){return`Cannot define and lookup the "${e}" selection in the same view. Try moving the lookup into a second, layered view?`}(e))}return new r2(e,n,o.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?Ys(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${TU({transform:this.transform,secondary:this.secondary})}`}assemble(){let e;if(this.transform.from.fields)e=Object.assign({values:this.transform.from.fields},this.transform.as?{as:Ys(this.transform.as)}:{});else{let t=this.transform.as;xl(t)||(LV('If "from.fields" is not specified, "as" has to be a string that specifies the key to be used for the data from the secondary source.'),t="_lookup"),e={as:[t]}}return Object.assign(Object.assign({type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup]},e),this.transform.default?{default:this.transform.default}:{})}}var i2=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var i=0;for(r=Object.getOwnPropertySymbols(e);i<r.length;i++)t.indexOf(r[i])<0&&Object.prototype.propertyIsEnumerable.call(e,r[i])&&(n[r[i]]=e[r[i]])}return n};class a2 extends IZ{clone(){return new a2(null,_U(this.transform))}constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=_U(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"prob",null!==(i=a[1])&&void 0!==i?i:"value"]}dependentFields(){var e;return new Set([this.transform.quantile,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${TU(this.transform)}`}assemble(){const e=this.transform,{quantile:t}=e,n=i2(e,["quantile"]);return Object.assign({type:"quantile",field:t},n)}}var o2=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var i=0;for(r=Object.getOwnPropertySymbols(e);i<r.length;i++)t.indexOf(r[i])<0&&Object.prototype.propertyIsEnumerable.call(e,r[i])&&(n[r[i]]=e[r[i]])}return n};class s2 extends IZ{clone(){return new s2(null,_U(this.transform))}constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=_U(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:t.on,null!==(i=a[1])&&void 0!==i?i:t.regression]}dependentFields(){var e;return new Set([this.transform.regression,this.transform.on,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform ${TU(this.transform)}`}assemble(){const e=this.transform,{regression:t,on:n}=e,r=o2(e,["regression","on"]);return Object.assign({type:"regression",x:n,y:t},r)}}class l2 extends IZ{clone(){return new l2(null,_U(this.transform))}constructor(e,t){super(e),this.transform=t}addDimensions(e){var t;this.transform.groupby=LU((null!==(t=this.transform.groupby)&&void 0!==t?t:[]).concat(e),(e=>e))}producedFields(){}dependentFields(){var e;return new Set([this.transform.pivot,this.transform.value,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}hash(){return`PivotTransform ${TU(this.transform)}`}assemble(){const{pivot:e,value:t,groupby:n,limit:r,op:i}=this.transform;return Object.assign(Object.assign(Object.assign({type:"pivot",field:e,value:t},void 0!==r?{limit:r}:{}),void 0!==i?{op:i}:{}),void 0!==n?{groupby:n}:{})}}class c2 extends IZ{clone(){return new c2(null,_U(this.transform))}constructor(e,t){super(e),this.transform=t}dependentFields(){return new Set}producedFields(){return new Set}hash(){return`SampleTransform ${TU(this.transform)}`}assemble(){return{type:"sample",size:this.transform.sample}}}function u2(e){let t=0;return function n(r,i){var a;if(r instanceof C0&&!r.isGenerator&&!wZ(r.data)){e.push(i);i={name:null,source:i.name,transform:[]}}if(r instanceof T0&&(r.parent instanceof C0&&!i.source?(i.format=Object.assign(Object.assign({},null!==(a=i.format)&&void 0!==a?a:{}),{parse:r.assembleFormatParse()}),i.transform.push(...r.assembleTransforms(!0))):i.transform.push(...r.assembleTransforms())),r instanceof A0)return i.name||(i.name="data_"+t++),!i.source||i.transform.length>0?(e.push(i),r.data=i.name):r.data=i.source,void e.push(...r.assemble());if((r instanceof S0||r instanceof O0||r instanceof X1||r instanceof iQ||r instanceof xQ||r instanceof Q1||r instanceof _0||r instanceof r2||r instanceof Z0||r instanceof X0||r instanceof Z1||r instanceof K1||r instanceof Y1||r instanceof n2||r instanceof a2||r instanceof s2||r instanceof M0||r instanceof c2||r instanceof l2)&&i.transform.push(r.assemble()),(r instanceof b0||r instanceof zZ||r instanceof e2||r instanceof K0||r instanceof J1)&&i.transform.push(...r.assemble()),r instanceof jZ)if(i.source&&0===i.transform.length)r.setSource(i.source);else if(r.parent instanceof jZ)r.setSource(i.name);else if(i.name||(i.name="data_"+t++),r.setSource(i.name),1===r.numChildren()){e.push(i);i={name:null,source:i.name,transform:[]}}switch(r.numChildren()){case 0:r instanceof jZ&&(!i.source||i.transform.length>0)&&e.push(i);break;case 1:n(r.children[0],i);break;default:{i.name||(i.name="data_"+t++);let a=i.name;!i.source||i.transform.length>0?e.push(i):a=i.source;for(const e of r.children){n(e,{name:null,source:a,transform:[]})}break}}}}function f2(e){return"top"===e||"left"===e||Sq(e)?"header":"footer"}function d2(e,t){var n;const{facet:r,config:i,child:a,component:o}=e;if(e.channelHasField(t)){const s=r[t],l=wQ("title",null,i,t);let c=yY(s,i,{allowDisabling:!0,includeDefault:void 0===l||!!l});a.component.layoutHeaders[t].title&&(c=ws(c)?c.join(", "):c,c+=` / ${a.component.layoutHeaders[t].title}`,a.component.layoutHeaders[t].title=null);const 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YW:if(eY(r)&&(bq(r.bin)||eY(i)&&i.aggregate&&!r.aggregate))return"vertical";if(eY(i)&&(bq(i.bin)||eY(r)&&r.aggregate&&!i.aggregate))return"horizontal";if(o||a){if(n)return n;if(!a)return(eY(r)&&r.type===dW&&!yq(r.bin)||iY(r))&&eY(i)&&bq(i.bin)?"horizontal":"vertical";if(!o)return(eY(i)&&i.type===dW&&!yq(i.bin)||iY(i))&&eY(r)&&bq(r.bin)?"vertical":"horizontal"}case QW:if(a&&(!eY(r)||!bq(r.bin))&&o&&(!eY(i)||!bq(i.bin)))return;case GW:if(o)return eY(i)&&bq(i.bin)?"horizontal":"vertical";if(a)return eY(r)&&bq(r.bin)?"vertical":"horizontal";if(e===QW){if(r&&!i)return"vertical";if(i&&!r)return"horizontal"}case KW:case tG:{const t=rY(r),a=rY(i);if(n)return n;if(t&&!a)return"tick"!==e?"horizontal":"vertical";if(!t&&a)return"tick"!==e?"vertical":"horizontal";if(t&&a){const t=r,n=i,a=t.type===pW,o=n.type===pW;return a&&!o?"tick"!==e?"vertical":"horizontal":!a&&o?"tick"!==e?"horizontal":"vertical":!t.aggregate&&n.aggregate?"tick"!==e?"vertical":"horizontal":t.aggregate&&!n.aggregate&&"tick"!==e?"horizontal":"vertical"}return}}return"vertical"}(r.type,t,i),void 0!==i&&i!==r.orient&&LV(`Specified orient "${r.orient}" overridden with "${i}".`),"bar"===r.type&&r.orient){const e=Hq("cornerRadiusEnd",r,n);if(void 0!==e){const n="horizontal"===r.orient&&t.x2||"vertical"===r.orient&&t.y2?["cornerRadius"]:pG[r.orient];for(const t of n)r[t]=e;void 0!==r.cornerRadiusEnd&&delete r.cornerRadiusEnd}}void 0===Hq("opacity",r,n)&&(r.opacity=function(e,t){if(SU([ZW,tG,rG,iG],e)&&!GY(t))return.7;return}(r.type,t));return void 0===Hq("cursor",r,n)&&(r.cursor=function(e,t,n){if(t.href||e.href||Hq("href",e,n))return"pointer";return e.cursor}(r,t,n)),r}function L2(e,t){const{config:n}=e;return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"})),hJ("x",e,{defaultPos:"mid"})),hJ("y",e,{defaultPos:"mid"})),uJ("size",e)),uJ("angle",e)),function(e,t,n){if(n)return{shape:{value:n}};return uJ("shape",e)}(e,0,t))}const P2={vgMark:"rule",encodeEntry:e=>{const{markDef:t}=e,n=t.orient;return e.encoding.x||e.encoding.y||e.encoding.latitude||e.encoding.longitude?Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),yJ("x",e,{defaultPos:"horizontal"===n?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"vertical"!==n})),yJ("y",e,{defaultPos:"vertical"===n?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"horizontal"!==n})),uJ("size",e,{vgChannel:"strokeWidth"})):{}}},D2={vgMark:"text",encodeEntry:e=>{const{config:t,encoding:n}=e;return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"include",baseline:"include",color:"include",size:"ignore",orient:"ignore",theta:"include"})),hJ("x",e,{defaultPos:"mid"})),hJ("y",e,{defaultPos:"mid"})),iJ(e)),uJ("size",e,{vgChannel:"fontSize"})),uJ("angle",e)),OJ("align",function(e,t,n){const r=Hq("align",e,n);if(void 0===r)return"center";return}(e.markDef,0,t))),OJ("baseline",function(e,t,n){const r=Hq("baseline",e,n);if(void 0===r)return"middle";return}(e.markDef,0,t))),hJ("radius",e,{defaultPos:null})),hJ("theta",e,{defaultPos:null}))}};const I2={vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,r=n.orient,i="horizontal"===r?"width":"height",a="horizontal"===r?"height":"width";return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),hJ("x",e,{defaultPos:"mid",vgChannel:"xc"})),hJ("y",e,{defaultPos:"mid",vgChannel:"yc"})),uJ("size",e,{defaultValue:j2(e),vgChannel:i})),{[a]:Fq(Hq("thickness",n,t))})}};function j2(e){var t;const{config:n,markDef:r}=e,{orient:i}=r,a="horizontal"===i?"width":"height",o=e.getScaleComponent("horizontal"===i?"x":"y"),s=null!==(t=Hq("size",r,n,{vgChannel:a}))&&void 0!==t?t:n.tick.bandSize;if(void 0!==s)return s;{const e=o?o.get("range"):void 0;if(e&&Oq(e)&&yl(e.step))return 3*e.step/4;return 3*XX(n.view,a)/4}}const F2={arc:{vgMark:"arc",encodeEntry:e=>Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})),hJ("x",e,{defaultPos:"mid"})),hJ("y",e,{defaultPos:"mid"})),_J(e,"radius")),_J(e,"theta"))},area:{vgMark:"area",encodeEntry:e=>Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",orient:"include",size:"ignore",theta:"ignore"})),yJ("x",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:"horizontal"===e.markDef.orient})),yJ("y",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:"vertical"===e.markDef.orient})),SJ(e))},bar:{vgMark:"rect",encodeEntry:e=>Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),_J(e,"x")),_J(e,"y"))},circle:{vgMark:"symbol",encodeEntry:e=>L2(e,"circle")},geoshape:{vgMark:"shape",encodeEntry:e=>Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})),postEncodingTransform:e=>{const{encoding:t}=e,n=t.shape;return[Object.assign({type:"geoshape",projection:e.projectionName()},n&&eY(n)&&n.type===gW?{field:hY(n,{expr:"datum"})}:{})]}},image:{vgMark:"image",encodeEntry:e=>Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"ignore",orient:"ignore",size:"ignore",theta:"ignore"})),_J(e,"x")),_J(e,"y")),iJ(e,"url"))},line:{vgMark:"line",encodeEntry:e=>Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})),hJ("x",e,{defaultPos:"mid"})),hJ("y",e,{defaultPos:"mid"})),uJ("size",e,{vgChannel:"strokeWidth"})),SJ(e))},point:{vgMark:"symbol",encodeEntry:e=>L2(e)},rect:{vgMark:"rect",encodeEntry:e=>Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),_J(e,"x")),_J(e,"y"))},rule:P2,square:{vgMark:"symbol",encodeEntry:e=>L2(e,"square")},text:D2,tick:I2,trail:{vgMark:"trail",encodeEntry:e=>Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},TJ(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"})),hJ("x",e,{defaultPos:"mid"})),hJ("y",e,{defaultPos:"mid"})),uJ("size",e)),SJ(e))}};function z2(e){if(SU([KW,GW,nG],e.mark)){const t=JY(e.mark,e.encoding);if(t.length>0)return function(e,t){return[{name:e.getName("pathgroup"),type:"group",from:{facet:{name:B2+e.requestDataName(CZ.Main),data:e.requestDataName(CZ.Main),groupby:t}},encode:{update:{width:{field:{group:"width"}},height:{field:{group:"height"}}}},marks:$2(e,{fromPrefix:B2})}]}(e,t)}else if(e.mark===YW){const t=Lq.some((t=>Hq(t,e.markDef,e.config)));if(e.stack&&!e.fieldDef("size")&&t)return function(e){var t;const[n]=$2(e,{fromPrefix:U2}),r=e.scaleName(e.stack.fieldChannel),i=(t={})=>e.vgField(e.stack.fieldChannel,t),a=(e,t)=>`${e}(${[i({prefix:"min",suffix:"start",expr:t}),i({prefix:"max",suffix:"start",expr:t}),i({prefix:"min",suffix:"end",expr:t}),i({prefix:"max",suffix:"end",expr:t})].map((e=>`scale('${r}',${e})`)).join(",")})`;let o,s;"x"===e.stack.fieldChannel?(o=Object.assign(Object.assign({},wU(n.encode.update,["y","yc","y2","height",...Lq])),{x:{signal:a("min","datum")},x2:{signal:a("max","datum")},clip:{value:!0}}),s={x:{field:{group:"x"},mult:-1},height:{field:{group:"height"}}},n.encode.update=Object.assign(Object.assign({},kU(n.encode.update,["y","yc","y2"])),{height:{field:{group:"height"}}})):(o=Object.assign(Object.assign({},wU(n.encode.update,["x","xc","x2","width"])),{y:{signal:a("min","datum")},y2:{signal:a("max","datum")},clip:{value:!0}}),s={y:{field:{group:"y"},mult:-1},width:{field:{group:"width"}}},n.encode.update=Object.assign(Object.assign({},kU(n.encode.update,["x","xc","x2"])),{width:{field:{group:"width"}}}));for(const t of Lq){const r=qq(t,e.markDef,e.config);n.encode.update[t]?(o[t]=n.encode.update[t],delete n.encode.update[t]):r&&(o[t]=Fq(r)),r&&(n.encode.update[t]={value:0})}const l=[];if((null===(t=e.stack.groupbyChannels)||void 0===t?void 0:t.length)>0)for(const t of e.stack.groupbyChannels){const n=e.fieldDef(t),r=hY(n);r&&l.push(r),((null==n?void 0:n.bin)||(null==n?void 0:n.timeUnit))&&l.push(hY(n,{binSuffix:"end"}))}o=["stroke","strokeWidth","strokeJoin","strokeCap","strokeDash","strokeDashOffset","strokeMiterLimit","strokeOpacity"].reduce(((t,r)=>{if(n.encode.update[r])return Object.assign(Object.assign({},t),{[r]:n.encode.update[r]});{const n=qq(r,e.markDef,e.config);return void 0!==n?Object.assign(Object.assign({},t),{[r]:Fq(n)}):t}}),o),o.stroke&&(o.strokeForeground={value:!0},o.strokeOffset={value:0});return[{type:"group",from:{facet:{data:e.requestDataName(CZ.Main),name:U2+e.requestDataName(CZ.Main),groupby:l,aggregate:{fields:[i({suffix:"start"}),i({suffix:"start"}),i({suffix:"end"}),i({suffix:"end"})],ops:["min","max","min","max"]}}},encode:{update:o},marks:[{type:"group",encode:{update:s},marks:[n]}]}]}(e)}return $2(e)}const B2="faceted_path_";const U2="stack_group_";function $2(e,t={fromPrefix:""}){const{mark:n,markDef:r,encoding:i,config:a}=e,o=t$(r.clip,function(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return!(!(null==t?void 0:t.get("selectionExtent"))&&!(null==n?void 0:n.get("selectionExtent")))||void 0}(e),function(e){const t=e.component.projection;return!(!t||t.isFit)||void 0}(e)),s=$q(r),l=i.key,c=function(e){var t;const{encoding:n,stack:r,mark:i,markDef:a,config:o}=e,s=n.order;if(!(!ws(s)&&sY(s)&&MU(s.value)||!s&&MU(Hq("order",a,o)))){if((ws(s)||eY(s))&&!r)return Gq(s,{expr:"datum"});if(oG(i)){const r="horizontal"===a.orient?"y":"x",i=n[r];if(eY(i)){const n=i.sort;return ws(n)?{field:hY(i,{prefix:r,suffix:"sort_index",expr:"datum"})}:BG(n)?{field:hY({aggregate:GY(e.encoding)?n.op:void 0,field:n.field},{expr:"datum"})}:zG(n)?{field:hY(e.fieldDef(n.encoding),{expr:"datum"}),order:n.order}:null===n?void 0:{field:hY(i,{binSuffix:(null===(t=e.stack)||void 0===t?void 0:t.impute)?"mid":void 0,expr:"datum"})}}}}}(e),u=function(e){if(!e.component.selection)return null;const t=BU(e.component.selection).length;let n=t,r=e.parent;for(;r&&0===n;)n=BU(r.component.selection).length,r=r.parent;return n?{interactive:t>0||!!e.encoding.tooltip}:null}(e),f=Hq("aria",r,a),d=F2[n].postEncodingTransform?F2[n].postEncodingTransform(e):null;return[Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({name:e.getName("marks"),type:F2[n].vgMark},o?{clip:!0}:{}),s?{style:s}:{}),l?{key:l.field}:{}),c?{sort:c}:{}),u||{}),!1===f?{aria:f}:{}),{from:{data:t.fromPrefix+e.requestDataName(CZ.Main)},encode:{update:F2[n].encodeEntry(e)}}),d?{transform:d}:{})]}class H2 extends W1{constructor(e,t,n,r={},i){var a;super(e,"unit",t,n,i,void 0,VX(e)?e.view:void 0),this.specifiedScales={},this.specifiedAxes={},this.specifiedLegends={},this.specifiedProjection={},this.selection=[],this.children=[];const o=cG(e.mark)?Object.assign({},e.mark):{type:e.mark},s=o.type;void 0===o.filled&&(o.filled=function(e,t,{graticule:n}){if(n)return!1;const r=qq("filled",e,t),i=e.type;return t$(r,i!==ZW&&i!==KW&&i!==QW)}(o,i,{graticule:e.data&&OZ(e.data)}));const l=this.encoding=function(e,t,n,r){const i={};for(const t of BU(e))uH(t)||LV(`${a=t}-encoding is dropped as ${a} is not a valid encoding channel.`);var a;for(let a of bH){if(!e[a])continue;const o=e[a];if(HH(a)){const e=yH(a),t=i[e];if(eY(t)){if(uW(t.type)&&eY(o)){LV(fV(e));continue}}else a=e,LV(dV(e))}if("angle"!==a||"arc"!==t||e.theta||(LV("Arc marks uses theta channel rather than angle, replacing angle with theta."),a=_$),XY(e,a,t)){if(a===N$&&"line"===t){const t=AY(e[a]);if(null==t?void 0:t.aggregate){LV("Line marks cannot encode size with a non-groupby field. 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hasProjection(){const{encoding:e}=this,t=this.mark===aG,n=e&&X$.some((t=>aY(e[t])));return t||n}scaleDomain(e){const t=this.specifiedScales[e];return t?t.domain:void 0}axis(e){return this.specifiedAxes[e]}legend(e){return this.specifiedLegends[e]}initScales(e,t){return tq.reduce(((e,n)=>{var r;const i=wY(t[n]);return i&&(e[n]=this.initScale(null!==(r=i.scale)&&void 0!==r?r:{})),e}),{})}initScale(e){const{domain:t,range:n}=e,r=kq(e);return ws(t)&&(r.domain=t.map(Iq)),ws(n)&&(r.range=n.map(Iq)),r}initAxes(e){return jH.reduce(((t,n)=>{const r=e[n];if(aY(r)||n===h$&&aY(e.x2)||n===p$&&aY(e.y2)){const e=aY(r)?r.axis:void 0;t[n]=e?this.initAxis(Object.assign({},e)):e}return t}),{})}initAxis(e){const t=BU(e),n={};for(const r of t){const t=e[r];n[r]=PY(t)?Dq(t):Iq(t)}return n}initLegends(e){return QH.reduce(((t,n)=>{const r=wY(e[n]);if(r&&function(e){switch(e){case M$:case S$:case O$:case N$:case C$:case L$:case I$:case j$:return!0;case P$:case D$:case R$:return!1}}(n)){const e=r.legend;t[n]=e?kq(e):e}return t}),{})}parseData(){this.component.data=_2(this)}parseLayoutSize(){!function(e){const{size:t,component:n}=e;for(const r of jH){const i=gH(r);if(t[i]){const e=t[i];n.layoutSize.set(i,qX(e)?"step":e,!0)}else{const t=v2(e,i);n.layoutSize.set(i,t,!1)}}}(this)}parseSelections(){this.component.selection=function(e,t){var n;const r={},i=e.config.selection;if(!t||!t.length)return r;for(const a of t){const t=qU(a.name),o=a.select,s=xl(o)?o:o.type,l=ks(o)?_U(o):{type:s},c=i[s];for(const e in c)"fields"!==e&&"encodings"!==e&&("mark"===e&&(l[e]=Object.assign(Object.assign({},c[e]),l[e])),void 0!==l[e]&&!0!==l[e]||(l[e]=null!==(n=c[e])&&void 0!==n?n:l[e]));const u=r[t]=Object.assign(Object.assign({},l),{name:t,type:s,init:a.value,bind:a.bind,events:xl(l.on)?RI(l.on,"scope"):Ys(_U(l.on))});for(const t of ZJ)t.defined(u)&&t.parse&&t.parse(e,u,a)}return r}(this,this.selection)}parseMarkGroup(){this.component.mark=z2(this)}parseAxesAndHeaders(){var 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e=this.props,t=e.containerStyle,n=e.containerDimensions,r=e.fadeDurationInMs,i=e.isPortalRendered,a=e.isInPlaceMode;return q8({containerDimensions:n,containerStyle:t,fadeDurationInMs:r,isTransitionActive:this.state.isTransitionActive,isInPlaceMode:a,isPortalRendered:i})}},{key:"imageStyle",get:function(){var e=this.props,t=e.imageStyle,n=e.largeImage;return function(e){var t=e.imageCoordinates,n=e.imageStyle,r=e.largeImage,i="translate("+t.x+"px, "+t.y+"px)",a={width:r.width,height:r.height,transform:i,WebkitTransform:i,msTransform:i,pointerEvents:"none"};return a8()({},n,a)}({imageCoordinates:this.getImageCoordinates(),imageStyle:t,largeImage:n})}}]),t}(v.Component);W8.displayName="EnlargedImage",W8.defaultProps={fadeDurationInMs:0,isLazyLoaded:!0},W8.propTypes={containerClassName:le().string,containerStyle:le().object,cursorOffset:B8,position:B8,fadeDurationInMs:le().number,imageClassName:le().string,imageStyle:le().object,isActive:le().bool,isLazyLoaded:le().bool,largeImage:C8,containerDimensions:F8,isPortalRendered:le().bool,isInPlaceMode:le().bool};const G8=W8;var Y8=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}();function X8(e,t){if(!e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return!t||"object"!=typeof t&&"function"!=typeof t?e:t}var K8=function(e){function t(){var e,n,r;!function(e,t){if(!(e 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this.isPortalRendered?Xe.createPortal(v.createElement(G8,e),this.portalElement):v.createElement(G8,e)}},{key:"isPortalIdImplemented",get:function(){return!!this.props.portalId}},{key:"isPortalRendered",get:function(){var e=this.props,t=e.isPortalEnabledForTouch,n=e.isTouchDetected;return!!this.isPortalIdImplemented&&(!n||!!t)}},{key:"isMounted",get:function(){return this.state.isMounted}},{key:"compositProps",get:function(){return a8()({},this.props,{isPortalRendered:this.isPortalRendered})}}]),t}(v.Component);K8.propTypes={isPortalEnabledForTouch:le().bool.isRequired,isTouchDetected:le().bool.isRequired,portalId:le().string};const Z8=K8;var J8=function(e){var t=e.fadeDurationInMs,n=e.isActive,r=e.isPositionOutside,i=e.style,a={position:"absolute",opacity:n&&!r?1:0,transition:"opacity "+t+"ms ease-in"},o=a8()({},{width:"auto",height:"auto",top:"auto",right:"auto",bottom:"auto",left:"auto",display:"block"},i,a);return v.createElement("div",{style:o})};J8.propTypes={style:le().object,fadeDurationInMs:le().number,isActive:le().bool,translateX:le().number,translateY:le().number,userStyle:le().object},J8.defaultProps={isActive:!1,fadeDurationInMs:0,translateX:0,translateY:0};const Q8=J8,e9={cursorOffset:B8,fadeDurationInMs:le().number,isActive:le().bool,isPositionOutside:le().bool,position:B8,smallImage:N8,style:le().object};var t9=function(e){var t=e.cursorOffset,n=e.position,r=e.fadeDurationInMs,i=e.isActive,a=e.isPositionOutside,o=e.smallImage,s=e.style,l=2*t.y,c=o.height-l,u={height:_8()(n.y-t.y,0,c)+"px",width:"100%",top:"0px"};return v.createElement(Q8,{fadeDurationInMs:r,isActive:i,isPositionOutside:a,style:a8()({},s,u)})};t9.propTypes=e9;const n9=t9;var r9=function(e){var t=e.cursorOffset,n=e.position,r=e.fadeDurationInMs,i=e.isActive,a=e.isPositionOutside,o=e.smallImage,s=e.style,l=2*t.y,c=2*t.x,u=o.height-l,f=o.width-c,d={height:l+"px",width:_8()(n.x-t.x,0,f)+"px",top:_8()(n.y-t.y,0,u)+"px",left:"0px"};return v.createElement(Q8,{fadeDurationInMs:r,isActive:i,isPositionOutside:a,style:a8()({},s,d)})};r9.propTypes=e9;const i9=r9;var a9=function(e){var t=e.cursorOffset,n=e.position,r=e.fadeDurationInMs,i=e.isActive,a=e.isPositionOutside,o=e.smallImage,s=e.style,l=2*t.y,c=2*t.x,u=o.height-l,f=o.width-c,d={height:l+"px",width:_8()(o.width-n.x-t.x,0,f)+"px",top:_8()(n.y-t.y,0,u)+"px",right:"0px"};return v.createElement(Q8,{fadeDurationInMs:r,isActive:i,isPositionOutside:a,style:a8()({},s,d)})};a9.propTypes=e9;const o9=a9;var s9=function(e){var t=e.cursorOffset,n=e.position,r=e.fadeDurationInMs,i=e.isActive,a=e.isPositionOutside,o=e.smallImage,s=e.style,l=2*t.y,c=o.height-n.y-t.y,u=o.height-l,f=_8()(c,0,u),d=n.y+t.y,h={height:f+"px",width:"100%",top:Math.max(d,l)+"px"};return v.createElement(Q8,{fadeDurationInMs:r,isActive:i,isPositionOutside:a,style:a8()({},s,h)})};s9.propTypes=e9;const l9=s9;function c9(e){var t=e.style,n=a8()({backgroundColor:"rgba(0,0,0,.4)"},t),r=a8()({},e,{style:n});return v.createElement("div",null,v.createElement(n9,r),v.createElement(i9,r),v.createElement(o9,r),v.createElement(l9,r))}c9.propTypes=e9;var u9=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}();var f9=function(e){function t(){return function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a 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e=this.props,t=e.cursorOffset,n=t.x,r=t.y,i=e.position,a=i.x,o=i.y,s=e.smallImage,l=s.height,c=s.width,u=this.dimensions,f=u.width,d=o-r,h=a-n,p=l-u.height,m=c-f;return{top:_8()(d,0,p),left:_8()(h,0,m)}}},{key:"defaultStyle",get:function(){return{transition:"opacity "+this.props.fadeDurationInMs+"ms ease-in",backgroundImage:"url(data:image/gif;base64,R0lGODlhZABkAPABAHOf4fj48yH5BAEAAAEALAAAAABkAGQAAAL+jI+py+0PowOB2oqvznz7Dn5iSI7SiabqWrbj68bwTLL2jUv0Lvf8X8sJhzmg0Yc8mojM5kmZjEKPzqp1MZVqs7Cr98rdisOXr7lJHquz57YwDV8j3XRb/C7v1vcovD8PwicY8VcISDGY2GDIKKf4mNAoKQZZeXg5aQk5yRml+dgZ2vOpKGraQpp4uhqYKsgKi+H6iln7N8sXG4u7p2s7ykvnyxos/DuMWtyGfKq8fAwd5nzGHN067VUtiv2lbV3GDfY9DhQu7p1pXoU+rr5ODk/j7sSePk9Ub33PlN+4jx8v4JJ/RQQa3EDwzcGFiBLi6AfN4UOGCyXegGjIoh0fisQ0rsD4y+NHjgZFqgB5y2Qfks1UPmEZ0OVLlIcKAAA7)"}}},{key:"userSpecifiedStyle",get:function(){return this.props.style}},{key:"isVisible",get:function(){var e=this.props,t=e.isActive,n=e.isPositionOutside;return t&&!n}},{key:"priorityStyle",get:function(){var e=this.dimensions,t=e.width,n=e.height,r=this.positionOffset;return{position:"absolute",top:r.top+"px",left:r.left+"px",width:t+"px",height:n+"px",opacity:this.isVisible?1:0}}},{key:"compositStyle",get:function(){return a8()(this.defaultStyle,this.userSpecifiedStyle,this.priorityStyle)}}]),t}(v.Component);f9.propTypes=e9,f9.defaultProps={style:{}};const d9=f9;var h9=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}();var p9=function(e){function t(e){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,t);var n=function(e,t){if(!e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return!t||"object"!=typeof t&&"function"!=typeof t?e:t}(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e));return 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e=this,t=this.props,n=t.className,r=t.style,i=t.hoverDelayInMs,a=t.hoverOffDelayInMs,o=t.isActivatedOnTouch,s=t.pressDuration,l=t.pressMoveThreshold,c=t.smallImage.onError,u=void 0===c?z8:c,f=t.imageClassName,d=t.imageStyle,h=t.lensStyle,p=t.largeImage,m=t.enlargedImageContainerClassName,g=t.enlargedImageContainerStyle,y=t.enlargedImageClassName,b=t.enlargedImageStyle,x=t.enlargedImagePortalId,_=t.isEnlargedImagePortalEnabledForTouch,A=t.fadeDurationInMs,w=t.hintComponent,k=t.isHintEnabled,E=t.hintTextMouse,T=t.hintTextTouch,M=t.shouldHideHintAfterFirstActivation,S=this.smallImage,O=this.state.detectedInputType.isTouchDetected,C=function(e,t,n){var r=function(e,t){return{x:e.width/t.width,y:e.height/t.height}}(e,t);return{x:y9(n.width,r.x),y:y9(n.height,r.y)}}(S,p,this.enlargedImageContainerDimensions),N=this.lensComponent;return v.createElement(b8,{className:n,hoverDelayInMs:i,hoverOffDelayInMs:a,isActivatedOnTouch:o,onDetectedInputTypeChanged:this.onDetectedInputTypeChanged,pressDuration:s,pressMoveThreshold:l,shouldStopTouchMovePropagation:!0,style:U8(S,r)},v.createElement("img",{src:S.src,srcSet:S.srcSet,sizes:S.sizes,alt:S.alt,className:f,style:$8(S,d),ref:function(t){return e.smallImageEl=t},onLoad:this.onSmallImageLoad,onError:u}),k&&v.createElement(m9,{shouldHideAfterFirstActivation:M},v.createElement(w,{isTouchDetected:O,hintTextMouse:E,hintTextTouch:T})),this.shouldShowLens&&v.createElement(N,{cursorOffset:C,fadeDurationInMs:A,smallImage:S,style:h}),v.createElement(Z8,{containerClassName:m,containerDimensions:this.enlargedImageContainerDimensions,containerStyle:g,cursorOffset:C,fadeDurationInMs:A,imageClassName:y,imageStyle:b,largeImage:p,smallImage:S,portalId:x,isPortalEnabledForTouch:_,isTouchDetected:this.isTouchDetected,isInPlaceMode:this.isInPlaceMode}))}},{key:"smallImage",get:function(){var e=this.props,t=e.smallImage;if(!e.smallImage.isFluidWidth)return t;var n=this.state,r=n.smallImageWidth,i=n.smallImageHeight;return a8()({},t,{width:r,height:i})}},{key:"enlargedImagePlacement",get:function(){var e=this.props.enlargedImagePosition,t=this.state.detectedInputType.isTouchDetected;return e||(t?P8:D8)}},{key:"isInPlaceMode",get:function(){var e=P8;return this.enlargedImagePlacement===e}},{key:"enlargedImageContainerDimensions",get:function(){var e=this.props.enlargedImageContainerDimensions,t=e.width,n=e.height,r=this.smallImage,i=r.width,a=r.height,o=this.isInPlaceMode;return{width:b9({containerDimension:t,smallImageDimension:i,isInPlaceMode:o}),height:b9({containerDimension:n,smallImageDimension:a,isInPlaceMode:o})}}},{key:"isTouchDetected",get:function(){return this.state.detectedInputType.isTouchDetected}},{key:"shouldShowLens",get:function(){return!this.isInPlaceMode&&!this.isTouchDetected}},{key:"lensComponent",get:function(){var 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15:return[2]}}))},e.prototype.traverseBFSBackwards=function(){var e,t,n,r,i,a,o,s,l,c,u,f,d,h;return iae(this,(function(p){switch(p.label){case 0:e=hoe.from([]),t=[];try{for(n=aae(this),r=n.next();!r.done;r=n.next())i=oae(r.value,2),a=i[0],0===i[1].size&&(e=e.add(a),t.push(a))}catch(e){u={error:e}}finally{try{r&&!r.done&&(f=n.return)&&f.call(n)}finally{if(u)throw u.error}}p.label=1;case 1:return t.length>0?(a=t.shift())?[4,a]:[3,1]:[3,3];case 2:if(p.sent(),0===(o=this.getBackwards(a)).size)return[3,1];try{for(d=void 0,s=aae(o),l=s.next();!l.done;l=s.next())c=l.value,e.has(c)||0!==this.get(c).difference(e).size||(t.push(c),e=e.add(c))}catch(e){d={error:e}}finally{try{l&&!l.done&&(h=s.return)&&h.call(s)}finally{if(d)throw d.error}}return[3,1];case 3:return[2]}}))},e}(),Aoe=function(e,t,n,r){this.createFormulaParser=e,this.data=t,this.referenceGraph=n||function(e){var t,n,r=[];try{for(var i=aae(Dae(e)),a=i.next();!a.done;a=i.next()){var o=oae(a.value,2),s=o[0],l=o[1];if(l&&moe(l.value)){var c=boe(goe(l.value),s,e);r.push([s,c])}}}catch(e){t={error:e}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return _oe.from(r)}(t),this.evaluatedData=r||function(e,t,n){var r,i,a=e,o=n(a);try{for(var s=aae(t.traverseBFSBackwards()),l=s.next();!l.done;l=s.next()){var c=l.value,u=Cae(c,e);if(u&&moe(u.value)){var f=koe(u.value,c,o);o=n(a=Rae(c,rae(rae({},u),{value:f}),a))}}}catch(e){r={error:e}}finally{try{l&&!l.done&&(i=s.return)&&i.call(s)}finally{if(r)throw r.error}}return a}(t,this.referenceGraph,this.createFormulaParser)};function woe(e,t,n){var r=Rae(t,n,e.data),i=moe(n.value)?function(e,t,n,r){var i=boe(goe(n.value),t,r),a=e.set(t,i);return a}(e.referenceGraph,t,n,r):e.referenceGraph,a=e.createFormulaParser(r),o=function(e,t,n,r,i,a){var o,s,l,c;if(n.hasCircularDependency(r)){var u=hoe.from([r]),f=Rae(r,rae(rae({},i),{value:Gie.FormulaError.REF}),e);try{for(var d=aae(n.getBackwardsRecursive(r)),h=d.next();!h.done;h=d.next()){var p=h.value;if(u.has(p))break;u=u.add(p),(x=Cae(p,t))&&(f=Rae(p,rae(rae({},x),{value:Gie.FormulaError.REF}),f))}}catch(e){o={error:e}}finally{try{h&&!h.done&&(s=d.return)&&s.call(d)}finally{if(o)throw o.error}}return f}var m=e,g=moe(i.value)?koe(i.value,r,a):i.value,v=rae(rae({},i),{value:g});m=Rae(r,v,m);try{for(var y=aae(n.getBackwardsRecursive(r)),b=y.next();!b.done;b=y.next()){var x;if(x=Cae(p=b.value,t)){var _=moe(x.value)?koe(x.value,r,a):x.value;m=Rae(p,rae(rae({},x),{value:_}),m)}}}catch(e){l={error:e}}finally{try{b&&!b.done&&(c=y.return)&&c.call(y)}finally{if(l)throw l.error}}return m}(e.evaluatedData,r,i,t,n,a);return new Aoe(e.createFormulaParser,r,i,o)}function koe(e,t,n){var r=goe(e);try{return function(e,t,n){try{var r=xoe(t),i=n.parse(e,r);return i instanceof Gie.FormulaError?i.toString():i}catch(e){if(e instanceof Gie.FormulaError)return e.toString();throw e}}(r,t,n)}catch(e){return Gie.FormulaError.REF}}var Eoe={active:null,mode:"view",rowDimensions:{},columnDimensions:{},lastChanged:null,hasPasted:!1,cut:!1,dragging:!1,model:new Aoe(voe,[]),selected:new qae,copied:null,lastCommit:null};function Toe(e,t){var n,r,i,a,o,s;switch(t.type){case lae:var l=t.payload.data,c=e.active&&Iae(e.active,l)?e.active:null,u=e.selected.normalizeTo(l);return rae(rae({},e),{model:new Aoe(e.model.createFormulaParser,l),active:c,selected:u});case cae:var f=t.payload.createFormulaParser;return rae(rae({},e),{model:new Aoe(f,e.model.data)});case uae:var d=t.payload,h=d.row,p=d.extend,m=e.active;return rae(rae({},e),{selected:new Xae(p&&m?m.row:h,h),active:p&&m?m:rae(rae({},$ae),{row:h}),mode:"view"});case fae:var g=t.payload,v=g.column;p=g.extend,m=e.active;return rae(rae({},e),{selected:new Kae(p&&m?m.column:v,v),active:p&&m?m:rae(rae({},$ae),{column:v}),mode:"view"});case dae:return rae(rae({},e),{selected:new Gae,active:$ae,mode:"view"});case hae:var y=t.payload.selection,b=y.toRange(e.model.data);m=e.active&&y.has(e.model.data,e.active)?e.active:null==b?void 0:b.start;return rae(rae({},e),{selected:y,active:m||null,mode:"view"});case pae:var x=t.payload.point;return e.active&&!roe(e.active,x)?rae(rae({},e),{selected:new Vae(new Uae(x,e.active)),mode:"view"}):e;case mae:x=t.payload.point;return rae(rae({},e),{selected:new Vae(new Uae(x,x)),active:x,mode:roe(e.active,x)?"edit":"view"});case gae:var _=t.payload,A=(m=_.active,_.data);return Uoe(e)?e:rae(rae({},e),{model:woe(e.model,m,A),lastChanged:m});case vae:var w=t.payload,k=(x=w.point,w.dimensions),E=e.rowDimensions[x.row],T=e.columnDimensions[x.column];return E&&T&&E.top===k.top&&E.height===k.height&&T.left===k.left&&T.width===k.width?e:rae(rae({},e),{rowDimensions:rae(rae({},e.rowDimensions),(n={},n[x.row]={top:k.top,height:k.height},n)),columnDimensions:rae(rae({},e.columnDimensions),(r={},r[x.column]={left:k.left,width:k.width},r))});case yae:case bae:var M=e.selected.toRange(e.model.data);return rae(rae({},e),{copied:M,cut:t.type===bae,hasPasted:!1});case xae:var S=t.payload.data;if(!(m=e.active))return e;var O=function(e,t,n,r){return void 0===n&&(n="\t"),void 0===r&&(r=/\r\n|\n|\r/),e.replace(/"([^"]*?)"/g,(function(e,t){return t.replace(/\n/g,"\\n")})).split(r).map((function(e){return e.split(n).map((function(e){return e.replace(/\\n/g,"\n")})).map(t)}))}(S,(function(e){return{value:e}})),C=jae(O);if((M=e.selected.toRange(e.model.data))&&1===C.rows&&1===C.columns){var N=Cae({row:0,column:0},O),R=e.cut&&e.copied?Pae(e.copied.start,e.model.data):e.model.data,L=[];try{for(var P=aae(M||[]),D=P.next();!D.done;D=P.next()){var I=Cae(x=D.value,e.model.data);L.push({prevCell:I||null,nextCell:N||null}),R=Rae(x,N,R)}}catch(e){i={error:e}}finally{try{D&&!D.done&&(a=P.return)&&a.call(P)}finally{if(i)throw i.error}}return rae(rae({},e),{model:new Aoe(voe,R),copied:null,cut:!1,hasPasted:!0,mode:"view",lastCommit:L})}var j={rows:m.row+C.rows,columns:m.column+C.columns},F=function(e,t){var n=jae(e),r=n.rows,i=n.columns;if(r>=t.rows&&i>=t.columns)return e;var a={rows:t.rows>r?t.rows:r,columns:t.columns>i?t.columns:i},o=sae([],oae(e),!1);if(a.columns>i){var s=a.columns-i;o=o.map((function(e){return sae(sae([],oae(e),!1),oae(Array(s).fill(void 0)),!1)}))}if(a.rows>r){var l=a.rows-r,c=Array(a.columns).fill(void 0);o=sae(sae([],oae(o),!1),oae(Array(l).fill(c)),!1)}return o}(e.model.data,j),z={data:F,commit:[]};try{for(var B=aae(Dae(O)),U=B.next();!U.done;U=B.next()){var $=oae(U.value,2),H=(x=$[0],N=$[1],z.commit||[]),q={row:x.row+m.row,column:x.column+m.column},V=z.data;if(e.cut){if(e.copied)V=Pae({row:x.row+e.copied.start.row,column:x.column+e.copied.start.column},z.data);H=sae(sae([],oae(H),!1),[{prevCell:N||null,nextCell:null}],!1)}Iae(q,F)||(z={data:V,commit:H});I=Cae(q,V)||null;H=sae(sae([],oae(H),!1),[{prevCell:I,nextCell:N||null}],!1),z.data=Rae(q,rae(rae({value:void 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t=e.active&&Cae(e.active,e.model.data);return t||null}(e);return Boolean(null==t?void 0:t.readOnly)}function $oe(e,t,n,r){if(!t)return e;if(e instanceof Vae){var i=function(e,t,n,r){var i,a=r===Roe.Left||r===Roe.Right?"column":"row",o=r===Roe.Left||r===Roe.Top?"start":"end",s="start"===o?-1:1,l=e.range.has(rae(rae({},t),((i={})[a]=t[a]+-1*s,i))),c=l?"start"===o?"end":"start":o,u=new Uae(e.range.start,e.range.end);u[c][a]+=s;var f=new Vae(u).normalizeTo(n);return f}(e,t,n,r);return i}return e instanceof Kae?function(e,t,n,r){if(r===Roe.Top||r===Roe.Bottom)return e;var i=r===Roe.Left?-1:1,a=r===Roe.Left?"start":"end",o="start"===a?"end":"start",s=rae({},e);(r===Roe.Left?e.end>t.row:e.start<t.row)?s[o]=e[o]+i:s[a]=e[a]+i;var l=new Kae(Math.max(s.start,0),Math.max(s.end,0));return l.normalizeTo(n)}(e,t,n,r):e instanceof Xae?function(e,t,n,r){if(r===Roe.Left||r===Roe.Right)return e;var i=r===Roe.Top?-1:1,a=r===Roe.Top?"start":"end",o="start"===a?"end":"start",s=rae({},e);(r===Roe.Top?e.end>t.row:e.start<t.row)?s[o]=e[o]+i:s[a]=e[a]+i;var l=new Xae(Math.max(s.start,0),Math.max(s.end,0));return l.normalizeTo(n)}(e,t,n,r):e}var Hoe=function(e){const t=(0,v.createContext)({[Kie]:{v:{current:e},n:{current:-1},l:new Set,u:e=>e()}});var n;return t[Zie]=t.Provider,t.Provider=(n=t.Provider,({value:e,children:t})=>{const r=(0,v.useRef)(e),i=(0,v.useRef)(0),[a,o]=(0,v.useState)(null);a&&(a(e),o(null));const s=(0,v.useRef)();if(!s.current){const e=new Set,t=(t,n)=>{(0,Xe.unstable_batchedUpdates)((()=>{i.current+=1;const r={n:i.current};null!=n&&n.suspense&&(r.n*=-1,r.p=new Promise((e=>{o((()=>t=>{r.v=t,delete r.p,e(t)}))}))),e.forEach((e=>e(r))),t()}))};s.current={[Kie]:{v:r,n:i,l:e,u:t}}}return Jie((()=>{r.current=e,i.current+=1,Qie((()=>{s.current[Kie].l.forEach((t=>{t({n:i.current,v:e})}))}))}),[e]),(0,v.createElement)(n,{value:s.current},t)}),delete 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v.createElement(e,rae({},t,{selected:i,onSelect:r}))}},Zoe=function(e){var t=e.column,n=e.label,r=e.selected,i=e.onSelect,a=v.useCallback((function(e){i(t,e.shiftKey)}),[i,t]);return v.createElement("th",{className:Ge()("Spreadsheet__header",{"Spreadsheet__header--selected":r}),onClick:a,tabIndex:0},void 0!==n?n:function(e){var t="",n=e;for(;n>=0;)t=String.fromCharCode(65+n%26)+t,n=Math.floor(n/26)-1;return t}(t))},Joe=function(e){return function(t){var n=Goe(),r=v.useCallback((function(e,t){return n(function(e,t){return{type:fae,payload:{column:e,extend:t}}}(e,t))}),[n]),i=Yoe((function(e){return e.selected.hasEntireColumn(t.column)}));return v.createElement(e,rae({},t,{selected:i,onSelect:r}))}};var Qoe=function(e){var t=e.row,n=e.label,r=e.selected,i=e.onSelect,a=v.useCallback((function(e){i(t,e.shiftKey)}),[i,t]);return v.createElement("th",{className:Ge()("Spreadsheet__header",{"Spreadsheet__header--selected":r}),onClick:a,tabIndex:0},void 0!==n?n:t+1)},ese=function(e){return 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16px;border-radius:3px;font-size:90%;width:max-content}.styles-module_arrow__K0L3T{width:8px;height:8px}[class*='react-tooltip__place-top']>.styles-module_arrow__K0L3T{transform:rotate(45deg)}[class*='react-tooltip__place-right']>.styles-module_arrow__K0L3T{transform:rotate(135deg)}[class*='react-tooltip__place-bottom']>.styles-module_arrow__K0L3T{transform:rotate(225deg)}[class*='react-tooltip__place-left']>.styles-module_arrow__K0L3T{transform:rotate(315deg)}.styles-module_dark__xNqje{background:var(--rt-color-dark);color:var(--rt-color-white)}.styles-module_light__Z6W-X{background-color:var(--rt-color-white);color:var(--rt-color-dark)}.styles-module_success__A2AKt{background-color:var(--rt-color-success);color:var(--rt-color-white)}.styles-module_warning__SCK0X{background-color:var(--rt-color-warning);color:var(--rt-color-white)}.styles-module_error__JvumD{background-color:var(--rt-color-error);color:var(--rt-color-white)}.styles-module_info__BWdHW{background-color:var(--rt-color-info);color:var(--rt-color-white)}",type:"base"})}));var qle=n(36734),Vle=n.n(qle),Wle=n(98980),Gle=n.n(Wle);function Yle(e){let t=e.length;for(;--t>=0;)e[t]=0}const Xle=256,Kle=286,Zle=30,Jle=15,Qle=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),ece=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),tce=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),nce=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),rce=new Array(576);Yle(rce);const ice=new Array(60);Yle(ice);const ace=new Array(512);Yle(ace);const oce=new Array(256);Yle(oce);const sce=new Array(29);Yle(sce);const lce=new Array(Zle);function cce(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let uce,fce,dce;function hce(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}Yle(lce);const pce=e=>e<256?ace[e]:ace[256+(e>>>7)],mce=(e,t)=>{e.pending_buf[e.pending++]=255&t,e.pending_buf[e.pending++]=t>>>8&255},gce=(e,t,n)=>{e.bi_valid>16-n?(e.bi_buf|=t<<e.bi_valid&65535,mce(e,e.bi_buf),e.bi_buf=t>>16-e.bi_valid,e.bi_valid+=n-16):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},vce=(e,t,n)=>{gce(e,n[2*t],n[2*t+1])},yce=(e,t)=>{let n=0;do{n|=1&e,e>>>=1,n<<=1}while(--t>0);return n>>>1},bce=(e,t,n)=>{const r=new Array(16);let i,a,o=0;for(i=1;i<=Jle;i++)o=o+n[i-1]<<1,r[i]=o;for(a=0;a<=t;a++){let t=e[2*a+1];0!==t&&(e[2*a]=yce(r[t]++,t))}},xce=e=>{let t;for(t=0;t<Kle;t++)e.dyn_ltree[2*t]=0;for(t=0;t<Zle;t++)e.dyn_dtree[2*t]=0;for(t=0;t<19;t++)e.bl_tree[2*t]=0;e.dyn_ltree[512]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},_ce=e=>{e.bi_valid>8?mce(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},Ace=(e,t,n,r)=>{const i=2*t,a=2*n;return e[i]<e[a]||e[i]===e[a]&&r[t]<=r[n]},wce=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&Ace(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!Ace(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},kce=(e,t,n)=>{let r,i,a,o,s=0;if(0!==e.sym_next)do{r=255&e.pending_buf[e.sym_buf+s++],r+=(255&e.pending_buf[e.sym_buf+s++])<<8,i=e.pending_buf[e.sym_buf+s++],0===r?vce(e,i,t):(a=oce[i],vce(e,a+Xle+1,t),o=Qle[a],0!==o&&(i-=sce[a],gce(e,i,o)),r--,a=pce(r),vce(e,a,n),o=ece[a],0!==o&&(r-=lce[a],gce(e,r,o)))}while(s<e.sym_next);vce(e,256,t)},Ece=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,a=t.stat_desc.elems;let o,s,l,c=-1;for(e.heap_len=0,e.heap_max=573,o=0;o<a;o++)0!==n[2*o]?(e.heap[++e.heap_len]=c=o,e.depth[o]=0):n[2*o+1]=0;for(;e.heap_len<2;)l=e.heap[++e.heap_len]=c<2?++c:0,n[2*l]=1,e.depth[l]=0,e.opt_len--,i&&(e.static_len-=r[2*l+1]);for(t.max_code=c,o=e.heap_len>>1;o>=1;o--)wce(e,n,o);l=a;do{o=e.heap[1],e.heap[1]=e.heap[e.heap_len--],wce(e,n,1),s=e.heap[1],e.heap[--e.heap_max]=o,e.heap[--e.heap_max]=s,n[2*l]=n[2*o]+n[2*s],e.depth[l]=(e.depth[o]>=e.depth[s]?e.depth[o]:e.depth[s])+1,n[2*o+1]=n[2*s+1]=l,e.heap[1]=l++,wce(e,n,1)}while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],((e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,a=t.stat_desc.has_stree,o=t.stat_desc.extra_bits,s=t.stat_desc.extra_base,l=t.stat_desc.max_length;let c,u,f,d,h,p,m=0;for(d=0;d<=Jle;d++)e.bl_count[d]=0;for(n[2*e.heap[e.heap_max]+1]=0,c=e.heap_max+1;c<573;c++)u=e.heap[c],d=n[2*n[2*u+1]+1]+1,d>l&&(d=l,m++),n[2*u+1]=d,u>r||(e.bl_count[d]++,h=0,u>=s&&(h=o[u-s]),p=n[2*u],e.opt_len+=p*(d+h),a&&(e.static_len+=p*(i[2*u+1]+h)));if(0!==m){do{for(d=l-1;0===e.bl_count[d];)d--;e.bl_count[d]--,e.bl_count[d+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(d=l;0!==d;d--)for(u=e.bl_count[d];0!==u;)f=e.heap[--c],f>r||(n[2*f+1]!==d&&(e.opt_len+=(d-n[2*f+1])*n[2*f],n[2*f+1]=d),u--)}})(e,t),bce(n,c,e.bl_count)},Tce=(e,t,n)=>{let r,i,a=-1,o=t[1],s=0,l=7,c=4;for(0===o&&(l=138,c=3),t[2*(n+1)+1]=65535,r=0;r<=n;r++)i=o,o=t[2*(r+1)+1],++s<l&&i===o||(s<c?e.bl_tree[2*i]+=s:0!==i?(i!==a&&e.bl_tree[2*i]++,e.bl_tree[32]++):s<=10?e.bl_tree[34]++:e.bl_tree[36]++,s=0,a=i,0===o?(l=138,c=3):i===o?(l=6,c=3):(l=7,c=4))},Mce=(e,t,n)=>{let r,i,a=-1,o=t[1],s=0,l=7,c=4;for(0===o&&(l=138,c=3),r=0;r<=n;r++)if(i=o,o=t[2*(r+1)+1],!(++s<l&&i===o)){if(s<c)do{vce(e,i,e.bl_tree)}while(0!=--s);else 0!==i?(i!==a&&(vce(e,i,e.bl_tree),s--),vce(e,16,e.bl_tree),gce(e,s-3,2)):s<=10?(vce(e,17,e.bl_tree),gce(e,s-3,3)):(vce(e,18,e.bl_tree),gce(e,s-11,7));s=0,a=i,0===o?(l=138,c=3):i===o?(l=6,c=3):(l=7,c=4)}};let Sce=!1;const Oce=(e,t,n,r)=>{gce(e,0+(r?1:0),3),_ce(e),mce(e,n),mce(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n};var Cce=e=>{Sce||((()=>{let e,t,n,r,i;const a=new Array(16);for(n=0,r=0;r<28;r++)for(sce[r]=n,e=0;e<1<<Qle[r];e++)oce[n++]=r;for(oce[n-1]=r,i=0,r=0;r<16;r++)for(lce[r]=i,e=0;e<1<<ece[r];e++)ace[i++]=r;for(i>>=7;r<Zle;r++)for(lce[r]=i<<7,e=0;e<1<<ece[r]-7;e++)ace[256+i++]=r;for(t=0;t<=Jle;t++)a[t]=0;for(e=0;e<=143;)rce[2*e+1]=8,e++,a[8]++;for(;e<=255;)rce[2*e+1]=9,e++,a[9]++;for(;e<=279;)rce[2*e+1]=7,e++,a[7]++;for(;e<=287;)rce[2*e+1]=8,e++,a[8]++;for(bce(rce,287,a),e=0;e<Zle;e++)ice[2*e+1]=5,ice[2*e]=yce(e,5);uce=new cce(rce,Qle,257,Kle,Jle),fce=new cce(ice,ece,0,Zle,Jle),dce=new cce(new Array(0),tce,0,19,7)})(),Sce=!0),e.l_desc=new hce(e.dyn_ltree,uce),e.d_desc=new hce(e.dyn_dtree,fce),e.bl_desc=new hce(e.bl_tree,dce),e.bi_buf=0,e.bi_valid=0,xce(e)},Nce=(e,t,n,r)=>{let i,a,o=0;e.level>0?(2===e.strm.data_type&&(e.strm.data_type=(e=>{let t,n=4093624447;for(t=0;t<=31;t++,n>>>=1)if(1&n&&0!==e.dyn_ltree[2*t])return 0;if(0!==e.dyn_ltree[18]||0!==e.dyn_ltree[20]||0!==e.dyn_ltree[26])return 1;for(t=32;t<Xle;t++)if(0!==e.dyn_ltree[2*t])return 1;return 0})(e)),Ece(e,e.l_desc),Ece(e,e.d_desc),o=(e=>{let t;for(Tce(e,e.dyn_ltree,e.l_desc.max_code),Tce(e,e.dyn_dtree,e.d_desc.max_code),Ece(e,e.bl_desc),t=18;t>=3&&0===e.bl_tree[2*nce[t]+1];t--);return e.opt_len+=3*(t+1)+5+5+4,t})(e),i=e.opt_len+3+7>>>3,a=e.static_len+3+7>>>3,a<=i&&(i=a)):i=a=n+5,n+4<=i&&-1!==t?Oce(e,t,n,r):4===e.strategy||a===i?(gce(e,2+(r?1:0),3),kce(e,rce,ice)):(gce(e,4+(r?1:0),3),((e,t,n,r)=>{let i;for(gce(e,t-257,5),gce(e,n-1,5),gce(e,r-4,4),i=0;i<r;i++)gce(e,e.bl_tree[2*nce[i]+1],3);Mce(e,e.dyn_ltree,t-1),Mce(e,e.dyn_dtree,n-1)})(e,e.l_desc.max_code+1,e.d_desc.max_code+1,o+1),kce(e,e.dyn_ltree,e.dyn_dtree)),xce(e),r&&_ce(e)},Rce=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,0===t?e.dyn_ltree[2*n]++:(e.matches++,t--,e.dyn_ltree[2*(oce[n]+Xle+1)]++,e.dyn_dtree[2*pce(t)]++),e.sym_next===e.sym_end),Lce={_tr_init:Cce,_tr_stored_block:Oce,_tr_flush_block:Nce,_tr_tally:Rce,_tr_align:e=>{gce(e,2,3),vce(e,256,rce),(e=>{16===e.bi_valid?(mce(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=255&e.bi_buf,e.bi_buf>>=8,e.bi_valid-=8)})(e)}};var Pce=(e,t,n,r)=>{let i=65535&e,a=e>>>16&65535,o=0;for(;0!==n;){o=n>2e3?2e3:n,n-=o;do{i=i+t[r++]|0,a=a+i|0}while(--o);i%=65521,a%=65521}return i|a<<16};const Dce=new Uint32Array((()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=1&e?3988292384^e>>>1:e>>>1;t[n]=e}return t})());var Ice=(e,t,n,r)=>{const i=Dce,a=r+n;e^=-1;for(let n=r;n<a;n++)e=e>>>8^i[255&(e^t[n])];return~e},jce={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible 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t,n,r,i=e.w_size;t=e.hash_size,r=t;do{n=e.head[--r],e.head[r]=n>=i?n-i:0}while(--t);t=i,r=t;do{n=e.prev[--r],e.prev[r]=n>=i?n-i:0}while(--t)};let vue=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask;const yue=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),0!==n&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,0===t.pending&&(t.pending_out=0))},bue=(e,t)=>{Uce(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,yue(e.strm)},xue=(e,t)=>{e.pending_buf[e.pending++]=t},_ue=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=255&t},Aue=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),0===i?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),1===e.state.wrap?e.adler=Pce(e.adler,t,i,n):2===e.state.wrap&&(e.adler=Ice(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},wue=(e,t)=>{let n,r,i=e.max_chain_length,a=e.strstart,o=e.prev_length,s=e.nice_match;const l=e.strstart>e.w_size-cue?e.strstart-(e.w_size-cue):0,c=e.window,u=e.w_mask,f=e.prev,d=e.strstart+lue;let h=c[a+o-1],p=c[a+o];e.prev_length>=e.good_match&&(i>>=2),s>e.lookahead&&(s=e.lookahead);do{if(n=t,c[n+o]===p&&c[n+o-1]===h&&c[n]===c[a]&&c[++n]===c[a+1]){a+=2,n++;do{}while(c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&c[++a]===c[++n]&&a<d);if(r=lue-(d-a),a=d-lue,r>o){if(e.match_start=t,o=r,r>=s)break;h=c[a+o-1],p=c[a+o]}}}while((t=f[t&u])>l&&0!=--i);return o<=e.lookahead?o:e.lookahead},kue=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-cue)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),gue(e),r+=t),0===e.strm.avail_in)break;if(n=Aue(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=3)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=vue(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=vue(e,e.ins_h,e.window[i+3-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<3)););}while(e.lookahead<cue&&0!==e.strm.avail_in)},Eue=(e,t)=>{let n,r,i,a=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,o=0,s=e.strm.avail_in;do{if(n=65535,i=e.bi_valid+42>>3,e.strm.avail_out<i)break;if(i=e.strm.avail_out-i,r=e.strstart-e.block_start,n>r+e.strm.avail_in&&(n=r+e.strm.avail_in),n>i&&(n=i),n<a&&(0===n&&t!==Gce||t===qce||n!==r+e.strm.avail_in))break;o=t===Gce&&n===r+e.strm.avail_in?1:0,Bce(e,0,0,o),e.pending_buf[e.pending-4]=n,e.pending_buf[e.pending-3]=n>>8,e.pending_buf[e.pending-2]=~n,e.pending_buf[e.pending-1]=~n>>8,yue(e.strm),r&&(r>n&&(r=n),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+r),e.strm.next_out),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r,e.block_start+=r,n-=r),n&&(Aue(e.strm,e.strm.output,e.strm.next_out,n),e.strm.next_out+=n,e.strm.avail_out-=n,e.strm.total_out+=n)}while(0===o);return s-=e.strm.avail_in,s&&(s>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=s&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-s,e.strm.next_in),e.strstart),e.strstart+=s,e.insert+=s>e.w_size-e.insert?e.w_size-e.insert:s),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),o?4:t!==qce&&t!==Gce&&0===e.strm.avail_in&&e.strstart===e.block_start?2:(i=e.window_size-e.strstart,e.strm.avail_in>i&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,i+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),i>e.strm.avail_in&&(i=e.strm.avail_in),i&&(Aue(e.strm,e.window,e.strstart,i),e.strstart+=i,e.insert+=i>e.w_size-e.insert?e.w_size-e.insert:i),e.high_water<e.strstart&&(e.high_water=e.strstart),i=e.bi_valid+42>>3,i=e.pending_buf_size-i>65535?65535:e.pending_buf_size-i,a=i>e.w_size?e.w_size:i,r=e.strstart-e.block_start,(r>=a||(r||t===Gce)&&t!==qce&&0===e.strm.avail_in&&r<=i)&&(n=r>i?i:r,o=t===Gce&&0===e.strm.avail_in&&n===r?1:0,Bce(e,e.block_start,n,o),e.block_start+=n,yue(e.strm)),o?3:1)},Tue=(e,t)=>{let n,r;for(;;){if(e.lookahead<cue){if(kue(e),e.lookahead<cue&&t===qce)return 1;if(0===e.lookahead)break}if(n=0,e.lookahead>=3&&(e.ins_h=vue(e,e.ins_h,e.window[e.strstart+3-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),0!==n&&e.strstart-n<=e.w_size-cue&&(e.match_length=wue(e,n)),e.match_length>=3)if(r=$ce(e,e.strstart-e.match_start,e.match_length-3),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=3){e.match_length--;do{e.strstart++,e.ins_h=vue(e,e.ins_h,e.window[e.strstart+3-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart}while(0!=--e.match_length);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=vue(e,e.ins_h,e.window[e.strstart+1]);else r=$ce(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(bue(e,!1),0===e.strm.avail_out))return 1}return e.insert=e.strstart<2?e.strstart:2,t===Gce?(bue(e,!0),0===e.strm.avail_out?3:4):e.sym_next&&(bue(e,!1),0===e.strm.avail_out)?1:2},Mue=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<cue){if(kue(e),e.lookahead<cue&&t===qce)return 1;if(0===e.lookahead)break}if(n=0,e.lookahead>=3&&(e.ins_h=vue(e,e.ins_h,e.window[e.strstart+3-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=2,0!==n&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-cue&&(e.match_length=wue(e,n),e.match_length<=5&&(e.strategy===tue||3===e.match_length&&e.strstart-e.match_start>4096)&&(e.match_length=2)),e.prev_length>=3&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-3,r=$ce(e,e.strstart-1-e.prev_match,e.prev_length-3),e.lookahead-=e.prev_length-1,e.prev_length-=2;do{++e.strstart<=i&&(e.ins_h=vue(e,e.ins_h,e.window[e.strstart+3-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart)}while(0!=--e.prev_length);if(e.match_available=0,e.match_length=2,e.strstart++,r&&(bue(e,!1),0===e.strm.avail_out))return 1}else if(e.match_available){if(r=$ce(e,0,e.window[e.strstart-1]),r&&bue(e,!1),e.strstart++,e.lookahead--,0===e.strm.avail_out)return 1}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=$ce(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<2?e.strstart:2,t===Gce?(bue(e,!0),0===e.strm.avail_out?3:4):e.sym_next&&(bue(e,!1),0===e.strm.avail_out)?1:2};function Sue(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Oue=[new Sue(0,0,0,0,Eue),new Sue(4,4,8,4,Tue),new Sue(4,5,16,8,Tue),new Sue(4,6,32,32,Tue),new Sue(4,4,16,16,Mue),new Sue(8,16,32,32,Mue),new Sue(8,16,128,128,Mue),new Sue(8,32,128,256,Mue),new Sue(32,128,258,1024,Mue),new Sue(32,258,258,4096,Mue)];function Cue(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=sue,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(1146),this.dyn_dtree=new Uint16Array(122),this.bl_tree=new Uint16Array(78),mue(this.dyn_ltree),mue(this.dyn_dtree),mue(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(16),this.heap=new Uint16Array(573),mue(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(573),mue(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Nue=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==uue&&57!==t.status&&69!==t.status&&73!==t.status&&91!==t.status&&103!==t.status&&t.status!==fue&&t.status!==due?1:0},Rue=e=>{if(Nue(e))return hue(e,Zce);e.total_in=e.total_out=0,e.data_type=oue;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=2===t.wrap?57:t.wrap?uue:fue,e.adler=2===t.wrap?0:1,t.last_flush=-2,zce(t),Xce},Lue=e=>{const t=Rue(e);return t===Xce&&(e=>{e.window_size=2*e.w_size,mue(e.head),e.max_lazy_match=Oue[e.level].max_lazy,e.good_match=Oue[e.level].good_length,e.nice_match=Oue[e.level].nice_length,e.max_chain_length=Oue[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=2,e.match_available=0,e.ins_h=0})(e.state),t},Pue=(e,t,n,r,i,a)=>{if(!e)return Zce;let o=1;if(t===eue&&(t=6),r<0?(o=0,r=-r):r>15&&(o=2,r-=16),i<1||i>9||n!==sue||r<8||r>15||t<0||t>9||a<0||a>iue||8===r&&1!==o)return hue(e,Zce);8===r&&(r=9);const s=new Cue;return e.state=s,s.strm=e,s.status=uue,s.wrap=o,s.gzhead=null,s.w_bits=r,s.w_size=1<<s.w_bits,s.w_mask=s.w_size-1,s.hash_bits=i+7,s.hash_size=1<<s.hash_bits,s.hash_mask=s.hash_size-1,s.hash_shift=~~((s.hash_bits+3-1)/3),s.window=new Uint8Array(2*s.w_size),s.head=new Uint16Array(s.hash_size),s.prev=new Uint16Array(s.w_size),s.lit_bufsize=1<<i+6,s.pending_buf_size=4*s.lit_bufsize,s.pending_buf=new Uint8Array(s.pending_buf_size),s.sym_buf=s.lit_bufsize,s.sym_end=3*(s.lit_bufsize-1),s.level=t,s.strategy=a,s.method=n,Lue(e)};var Due=(e,t)=>{if(Nue(e)||t>Yce||t<0)return e?hue(e,Zce):Zce;const n=e.state;if(!e.output||0!==e.avail_in&&!e.input||n.status===due&&t!==Gce)return hue(e,0===e.avail_out?Qce:Zce);const r=n.last_flush;if(n.last_flush=t,0!==n.pending){if(yue(e),0===e.avail_out)return n.last_flush=-1,Xce}else if(0===e.avail_in&&pue(t)<=pue(r)&&t!==Gce)return hue(e,Qce);if(n.status===due&&0!==e.avail_in)return hue(e,Qce);if(n.status===uue&&0===n.wrap&&(n.status=fue),n.status===uue){let t=sue+(n.w_bits-8<<4)<<8,r=-1;if(r=n.strategy>=nue||n.level<2?0:n.level<6?1:6===n.level?2:3,t|=r<<6,0!==n.strstart&&(t|=32),t+=31-t%31,_ue(n,t),0!==n.strstart&&(_ue(n,e.adler>>>16),_ue(n,65535&e.adler)),e.adler=1,n.status=fue,yue(e),0!==n.pending)return n.last_flush=-1,Xce}if(57===n.status)if(e.adler=0,xue(n,31),xue(n,139),xue(n,8),n.gzhead)xue(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),xue(n,255&n.gzhead.time),xue(n,n.gzhead.time>>8&255),xue(n,n.gzhead.time>>16&255),xue(n,n.gzhead.time>>24&255),xue(n,9===n.level?2:n.strategy>=nue||n.level<2?4:0),xue(n,255&n.gzhead.os),n.gzhead.extra&&n.gzhead.extra.length&&(xue(n,255&n.gzhead.extra.length),xue(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Ice(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=69;else if(xue(n,0),xue(n,0),xue(n,0),xue(n,0),xue(n,0),xue(n,9===n.level?2:n.strategy>=nue||n.level<2?4:0),xue(n,3),n.status=fue,yue(e),0!==n.pending)return n.last_flush=-1,Xce;if(69===n.status){if(n.gzhead.extra){let t=n.pending,r=(65535&n.gzhead.extra.length)-n.gzindex;for(;n.pending+r>n.pending_buf_size;){let i=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+i),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>t&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-t,t)),n.gzindex+=i,yue(e),0!==n.pending)return n.last_flush=-1,Xce;t=0,r-=i}let i=new Uint8Array(n.gzhead.extra);n.pending_buf.set(i.subarray(n.gzindex,n.gzindex+r),n.pending),n.pending+=r,n.gzhead.hcrc&&n.pending>t&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-t,t)),n.gzindex=0}n.status=73}if(73===n.status){if(n.gzhead.name){let t,r=n.pending;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>r&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-r,r)),yue(e),0!==n.pending)return n.last_flush=-1,Xce;r=0}t=n.gzindex<n.gzhead.name.length?255&n.gzhead.name.charCodeAt(n.gzindex++):0,xue(n,t)}while(0!==t);n.gzhead.hcrc&&n.pending>r&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-r,r)),n.gzindex=0}n.status=91}if(91===n.status){if(n.gzhead.comment){let t,r=n.pending;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>r&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-r,r)),yue(e),0!==n.pending)return n.last_flush=-1,Xce;r=0}t=n.gzindex<n.gzhead.comment.length?255&n.gzhead.comment.charCodeAt(n.gzindex++):0,xue(n,t)}while(0!==t);n.gzhead.hcrc&&n.pending>r&&(e.adler=Ice(e.adler,n.pending_buf,n.pending-r,r))}n.status=103}if(103===n.status){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(yue(e),0!==n.pending))return n.last_flush=-1,Xce;xue(n,255&e.adler),xue(n,e.adler>>8&255),e.adler=0}if(n.status=fue,yue(e),0!==n.pending)return n.last_flush=-1,Xce}if(0!==e.avail_in||0!==n.lookahead||t!==qce&&n.status!==due){let r=0===n.level?Eue(n,t):n.strategy===nue?((e,t)=>{let n;for(;;){if(0===e.lookahead&&(kue(e),0===e.lookahead)){if(t===qce)return 1;break}if(e.match_length=0,n=$ce(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(bue(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,t===Gce?(bue(e,!0),0===e.strm.avail_out?3:4):e.sym_next&&(bue(e,!1),0===e.strm.avail_out)?1:2})(n,t):n.strategy===rue?((e,t)=>{let n,r,i,a;const o=e.window;for(;;){if(e.lookahead<=lue){if(kue(e),e.lookahead<=lue&&t===qce)return 1;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=3&&e.strstart>0&&(i=e.strstart-1,r=o[i],r===o[++i]&&r===o[++i]&&r===o[++i])){a=e.strstart+lue;do{}while(r===o[++i]&&r===o[++i]&&r===o[++i]&&r===o[++i]&&r===o[++i]&&r===o[++i]&&r===o[++i]&&r===o[++i]&&i<a);e.match_length=lue-(a-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=3?(n=$ce(e,1,e.match_length-3),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=$ce(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(bue(e,!1),0===e.strm.avail_out))return 1}return e.insert=0,t===Gce?(bue(e,!0),0===e.strm.avail_out?3:4):e.sym_next&&(bue(e,!1),0===e.strm.avail_out)?1:2})(n,t):Oue[n.level].func(n,t);if(3!==r&&4!==r||(n.status=due),1===r||3===r)return 0===e.avail_out&&(n.last_flush=-1),Xce;if(2===r&&(t===Vce?Hce(n):t!==Yce&&(Bce(n,0,0,!1),t===Wce&&(mue(n.head),0===n.lookahead&&(n.strstart=0,n.block_start=0,n.insert=0))),yue(e),0===e.avail_out))return n.last_flush=-1,Xce}return t!==Gce?Xce:n.wrap<=0?Kce:(2===n.wrap?(xue(n,255&e.adler),xue(n,e.adler>>8&255),xue(n,e.adler>>16&255),xue(n,e.adler>>24&255),xue(n,255&e.total_in),xue(n,e.total_in>>8&255),xue(n,e.total_in>>16&255),xue(n,e.total_in>>24&255)):(_ue(n,e.adler>>>16),_ue(n,65535&e.adler)),yue(e),n.wrap>0&&(n.wrap=-n.wrap),0!==n.pending?Xce:Kce)},Iue=(e,t)=>{let n=t.length;if(Nue(e))return Zce;const r=e.state,i=r.wrap;if(2===i||1===i&&r.status!==uue||r.lookahead)return Zce;if(1===i&&(e.adler=Pce(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){0===i&&(mue(r.head),r.strstart=0,r.block_start=0,r.insert=0);let e=new Uint8Array(r.w_size);e.set(t.subarray(n-r.w_size,n),0),t=e,n=r.w_size}const a=e.avail_in,o=e.next_in,s=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,kue(r);r.lookahead>=3;){let e=r.strstart,t=r.lookahead-2;do{r.ins_h=vue(r,r.ins_h,r.window[e+3-1]),r.prev[e&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=e,e++}while(--t);r.strstart=e,r.lookahead=2,kue(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=2,r.match_available=0,e.next_in=o,e.input=s,e.avail_in=a,r.wrap=i,Xce},jue={deflateInit:(e,t)=>Pue(e,t,sue,15,8,aue),deflateInit2:Pue,deflateReset:Lue,deflateResetKeep:Rue,deflateSetHeader:(e,t)=>Nue(e)||2!==e.state.wrap?Zce:(e.state.gzhead=t,Xce),deflate:Due,deflateEnd:e=>{if(Nue(e))return Zce;const t=e.state.status;return e.state=null,t===fue?hue(e,Jce):Xce},deflateSetDictionary:Iue,deflateInfo:"pako deflate (from Nodeca project)"};const Fue=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var 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new Error(jce[n]);if(t.header&&jue.deflateSetHeader(this.strm,t.header),t.dictionary){let e;if(e="string"==typeof t.dictionary?$ue.string2buf(t.dictionary):"[object ArrayBuffer]"===que.call(t.dictionary)?new Uint8Array(t.dictionary):t.dictionary,n=jue.deflateSetDictionary(this.strm,e),n!==Xue)throw new Error(jce[n]);this._dict_set=!0}}function tfe(e,t){const n=new efe(t);if(n.push(e,!0),n.err)throw n.msg||jce[n.err];return n.result}efe.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,a;if(this.ended)return!1;for(a=t===~~t?t:!0===t?Yue:Vue,"string"==typeof e?n.input=$ue.string2buf(e):"[object ArrayBuffer]"===que.call(e)?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;)if(0===n.avail_out&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(a===Wue||a===Gue)&&n.avail_out<=6)this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;else{if(i=jue.deflate(n,a),i===Kue)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=jue.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===Xue;if(0!==n.avail_out){if(a>0&&n.next_out>0)this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;else if(0===n.avail_in)break}else this.onData(n.output)}return!0},efe.prototype.onData=function(e){this.chunks.push(e)},efe.prototype.onEnd=function(e){e===Xue&&(this.result=zue.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};var nfe=function(e,t){return(t=t||{}).raw=!0,tfe(e,t)},rfe=function(e,t){return(t=t||{}).gzip=!0,tfe(e,t)},ife={Deflate:efe,deflate:tfe,deflateRaw:nfe,gzip:rfe,constants:Fce};const afe=16209;var ofe=function(e,t){let n,r,i,a,o,s,l,c,u,f,d,h,p,m,g,v,y,b,x,_,A,w,k,E;const T=e.state;n=e.next_in,k=e.input,r=n+(e.avail_in-5),i=e.next_out,E=e.output,a=i-(t-e.avail_out),o=i+(e.avail_out-257),s=T.dmax,l=T.wsize,c=T.whave,u=T.wnext,f=T.window,d=T.hold,h=T.bits,p=T.lencode,m=T.distcode,g=(1<<T.lenbits)-1,v=(1<<T.distbits)-1;e:do{h<15&&(d+=k[n++]<<h,h+=8,d+=k[n++]<<h,h+=8),y=p[d&g];t:for(;;){if(b=y>>>24,d>>>=b,h-=b,b=y>>>16&255,0===b)E[i++]=65535&y;else{if(!(16&b)){if(64&b){if(32&b){T.mode=16191;break e}e.msg="invalid literal/length code",T.mode=afe;break e}y=p[(65535&y)+(d&(1<<b)-1)];continue t}for(x=65535&y,b&=15,b&&(h<b&&(d+=k[n++]<<h,h+=8),x+=d&(1<<b)-1,d>>>=b,h-=b),h<15&&(d+=k[n++]<<h,h+=8,d+=k[n++]<<h,h+=8),y=m[d&v];;){if(b=y>>>24,d>>>=b,h-=b,b=y>>>16&255,16&b){if(_=65535&y,b&=15,h<b&&(d+=k[n++]<<h,h+=8,h<b&&(d+=k[n++]<<h,h+=8)),_+=d&(1<<b)-1,_>s){e.msg="invalid distance too far back",T.mode=afe;break e}if(d>>>=b,h-=b,b=i-a,_>b){if(b=_-b,b>c&&T.sane){e.msg="invalid distance too far back",T.mode=afe;break e}if(A=0,w=f,0===u){if(A+=l-b,b<x){x-=b;do{E[i++]=f[A++]}while(--b);A=i-_,w=E}}else if(u<b){if(A+=l+u-b,b-=u,b<x){x-=b;do{E[i++]=f[A++]}while(--b);if(A=0,u<x){b=u,x-=b;do{E[i++]=f[A++]}while(--b);A=i-_,w=E}}}else if(A+=u-b,b<x){x-=b;do{E[i++]=f[A++]}while(--b);A=i-_,w=E}for(;x>2;)E[i++]=w[A++],E[i++]=w[A++],E[i++]=w[A++],x-=3;x&&(E[i++]=w[A++],x>1&&(E[i++]=w[A++]))}else{A=i-_;do{E[i++]=E[A++],E[i++]=E[A++],E[i++]=E[A++],x-=3}while(x>2);x&&(E[i++]=E[A++],x>1&&(E[i++]=E[A++]))}break}if(64&b){e.msg="invalid distance code",T.mode=afe;break e}y=m[(65535&y)+(d&(1<<b)-1)]}}break}}while(n<r&&i<o);x=h>>3,n-=x,h-=x<<3,d&=(1<<h)-1,e.next_in=n,e.next_out=i,e.avail_in=n<r?r-n+5:5-(n-r),e.avail_out=i<o?o-i+257:257-(i-o),T.hold=d,T.bits=h};const sfe=15,lfe=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),cfe=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),ufe=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),ffe=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]);var dfe=(e,t,n,r,i,a,o,s)=>{const l=s.bits;let c,u,f,d,h,p,m=0,g=0,v=0,y=0,b=0,x=0,_=0,A=0,w=0,k=0,E=null;const T=new Uint16Array(16),M=new Uint16Array(16);let S,O,C,N=null;for(m=0;m<=sfe;m++)T[m]=0;for(g=0;g<r;g++)T[t[n+g]]++;for(b=l,y=sfe;y>=1&&0===T[y];y--);if(b>y&&(b=y),0===y)return i[a++]=20971520,i[a++]=20971520,s.bits=1,0;for(v=1;v<y&&0===T[v];v++);for(b<v&&(b=v),A=1,m=1;m<=sfe;m++)if(A<<=1,A-=T[m],A<0)return-1;if(A>0&&(0===e||1!==y))return-1;for(M[1]=0,m=1;m<sfe;m++)M[m+1]=M[m]+T[m];for(g=0;g<r;g++)0!==t[n+g]&&(o[M[t[n+g]]++]=g);if(0===e?(E=N=o,p=20):1===e?(E=lfe,N=cfe,p=257):(E=ufe,N=ffe,p=0),k=0,g=0,m=v,h=a,x=b,_=0,f=-1,w=1<<b,d=w-1,1===e&&w>852||2===e&&w>592)return 1;for(;;){S=m-_,o[g]+1<p?(O=0,C=o[g]):o[g]>=p?(O=N[o[g]-p],C=E[o[g]-p]):(O=96,C=0),c=1<<m-_,u=1<<x,v=u;do{u-=c,i[h+(k>>_)+u]=S<<24|O<<16|C}while(0!==u);for(c=1<<m-1;k&c;)c>>=1;if(0!==c?(k&=c-1,k+=c):k=0,g++,0==--T[m]){if(m===y)break;m=t[n+o[g]]}if(m>b&&(k&d)!==f){for(0===_&&(_=b),h+=v,x=m-_,A=1<<x;x+_<y&&(A-=T[x+_],!(A<=0));)x++,A<<=1;if(w+=1<<x,1===e&&w>852||2===e&&w>592)return 1;f=k&d,i[f]=b<<24|x<<16|h-a}}return 0!==k&&(i[h+k]=m-_<<24|64<<16),s.bits=b,0};const{Z_FINISH:hfe,Z_BLOCK:pfe,Z_TREES:mfe,Z_OK:gfe,Z_STREAM_END:vfe,Z_NEED_DICT:yfe,Z_STREAM_ERROR:bfe,Z_DATA_ERROR:xfe,Z_MEM_ERROR:_fe,Z_BUF_ERROR:Afe,Z_DEFLATED:wfe}=Fce,kfe=16180,Efe=16190,Tfe=16191,Mfe=16192,Sfe=16194,Ofe=16199,Cfe=16200,Nfe=16206,Rfe=16209,Lfe=e=>(e>>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24);function Pfe(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Dfe=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<kfe||t.mode>16211?1:0},Ife=e=>{if(Dfe(e))return bfe;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=1&t.wrap),t.mode=kfe,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(852),t.distcode=t.distdyn=new Int32Array(592),t.sane=1,t.back=-1,gfe},jfe=e=>{if(Dfe(e))return bfe;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,Ife(e)},Ffe=(e,t)=>{let n;if(Dfe(e))return bfe;const r=e.state;return t<0?(n=0,t=-t):(n=5+(t>>4),t<48&&(t&=15)),t&&(t<8||t>15)?bfe:(null!==r.window&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,jfe(e))},zfe=(e,t)=>{if(!e)return bfe;const n=new Pfe;e.state=n,n.strm=e,n.window=null,n.mode=kfe;const r=Ffe(e,t);return r!==gfe&&(e.state=null),r};let Bfe,Ufe,$fe=!0;const Hfe=e=>{if($fe){Bfe=new Int32Array(512),Ufe=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(dfe(1,e.lens,0,288,Bfe,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;dfe(2,e.lens,0,32,Ufe,0,e.work,{bits:5}),$fe=!1}e.lencode=Bfe,e.lenbits=9,e.distcode=Ufe,e.distbits=5},qfe=(e,t,n,r)=>{let i;const a=e.state;return null===a.window&&(a.wsize=1<<a.wbits,a.wnext=0,a.whave=0,a.window=new Uint8Array(a.wsize)),r>=a.wsize?(a.window.set(t.subarray(n-a.wsize,n),0),a.wnext=0,a.whave=a.wsize):(i=a.wsize-a.wnext,i>r&&(i=r),a.window.set(t.subarray(n-r,n-r+i),a.wnext),(r-=i)?(a.window.set(t.subarray(n-r,n),0),a.wnext=r,a.whave=a.wsize):(a.wnext+=i,a.wnext===a.wsize&&(a.wnext=0),a.whave<a.wsize&&(a.whave+=i))),0};var Vfe=(e,t)=>{let n,r,i,a,o,s,l,c,u,f,d,h,p,m,g,v,y,b,x,_,A,w,k=0;const E=new Uint8Array(4);let T,M;const S=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Dfe(e)||!e.output||!e.input&&0!==e.avail_in)return bfe;n=e.state,n.mode===Tfe&&(n.mode=Mfe),o=e.next_out,i=e.output,l=e.avail_out,a=e.next_in,r=e.input,s=e.avail_in,c=n.hold,u=n.bits,f=s,d=l,w=gfe;e:for(;;)switch(n.mode){case kfe:if(0===n.wrap){n.mode=Mfe;break}for(;u<16;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(2&n.wrap&&35615===c){0===n.wbits&&(n.wbits=15),n.check=0,E[0]=255&c,E[1]=c>>>8&255,n.check=Ice(n.check,E,2,0),c=0,u=0,n.mode=16181;break}if(n.head&&(n.head.done=!1),!(1&n.wrap)||(((255&c)<<8)+(c>>8))%31){e.msg="incorrect header check",n.mode=Rfe;break}if((15&c)!==wfe){e.msg="unknown compression method",n.mode=Rfe;break}if(c>>>=4,u-=4,A=8+(15&c),0===n.wbits&&(n.wbits=A),A>15||A>n.wbits){e.msg="invalid window size",n.mode=Rfe;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=512&c?16189:Tfe,c=0,u=0;break;case 16181:for(;u<16;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(n.flags=c,(255&n.flags)!==wfe){e.msg="unknown compression method",n.mode=Rfe;break}if(57344&n.flags){e.msg="unknown header flags set",n.mode=Rfe;break}n.head&&(n.head.text=c>>8&1),512&n.flags&&4&n.wrap&&(E[0]=255&c,E[1]=c>>>8&255,n.check=Ice(n.check,E,2,0)),c=0,u=0,n.mode=16182;case 16182:for(;u<32;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.head&&(n.head.time=c),512&n.flags&&4&n.wrap&&(E[0]=255&c,E[1]=c>>>8&255,E[2]=c>>>16&255,E[3]=c>>>24&255,n.check=Ice(n.check,E,4,0)),c=0,u=0,n.mode=16183;case 16183:for(;u<16;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.head&&(n.head.xflags=255&c,n.head.os=c>>8),512&n.flags&&4&n.wrap&&(E[0]=255&c,E[1]=c>>>8&255,n.check=Ice(n.check,E,2,0)),c=0,u=0,n.mode=16184;case 16184:if(1024&n.flags){for(;u<16;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.length=c,n.head&&(n.head.extra_len=c),512&n.flags&&4&n.wrap&&(E[0]=255&c,E[1]=c>>>8&255,n.check=Ice(n.check,E,2,0)),c=0,u=0}else n.head&&(n.head.extra=null);n.mode=16185;case 16185:if(1024&n.flags&&(h=n.length,h>s&&(h=s),h&&(n.head&&(A=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(a,a+h),A)),512&n.flags&&4&n.wrap&&(n.check=Ice(n.check,r,h,a)),s-=h,a+=h,n.length-=h),n.length))break e;n.length=0,n.mode=16186;case 16186:if(2048&n.flags){if(0===s)break e;h=0;do{A=r[a+h++],n.head&&A&&n.length<65536&&(n.head.name+=String.fromCharCode(A))}while(A&&h<s);if(512&n.flags&&4&n.wrap&&(n.check=Ice(n.check,r,h,a)),s-=h,a+=h,A)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=16187;case 16187:if(4096&n.flags){if(0===s)break e;h=0;do{A=r[a+h++],n.head&&A&&n.length<65536&&(n.head.comment+=String.fromCharCode(A))}while(A&&h<s);if(512&n.flags&&4&n.wrap&&(n.check=Ice(n.check,r,h,a)),s-=h,a+=h,A)break e}else n.head&&(n.head.comment=null);n.mode=16188;case 16188:if(512&n.flags){for(;u<16;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(4&n.wrap&&c!==(65535&n.check)){e.msg="header crc mismatch",n.mode=Rfe;break}c=0,u=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Tfe;break;case 16189:for(;u<32;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}e.adler=n.check=Lfe(c),c=0,u=0,n.mode=Efe;case Efe:if(0===n.havedict)return e.next_out=o,e.avail_out=l,e.next_in=a,e.avail_in=s,n.hold=c,n.bits=u,yfe;e.adler=n.check=1,n.mode=Tfe;case Tfe:if(t===pfe||t===mfe)break e;case Mfe:if(n.last){c>>>=7&u,u-=7&u,n.mode=Nfe;break}for(;u<3;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}switch(n.last=1&c,c>>>=1,u-=1,3&c){case 0:n.mode=16193;break;case 1:if(Hfe(n),n.mode=Ofe,t===mfe){c>>>=2,u-=2;break e}break;case 2:n.mode=16196;break;case 3:e.msg="invalid block type",n.mode=Rfe}c>>>=2,u-=2;break;case 16193:for(c>>>=7&u,u-=7&u;u<32;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if((65535&c)!=(c>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Rfe;break}if(n.length=65535&c,c=0,u=0,n.mode=Sfe,t===mfe)break e;case Sfe:n.mode=16195;case 16195:if(h=n.length,h){if(h>s&&(h=s),h>l&&(h=l),0===h)break e;i.set(r.subarray(a,a+h),o),s-=h,a+=h,l-=h,o+=h,n.length-=h;break}n.mode=Tfe;break;case 16196:for(;u<14;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(n.nlen=257+(31&c),c>>>=5,u-=5,n.ndist=1+(31&c),c>>>=5,u-=5,n.ncode=4+(15&c),c>>>=4,u-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Rfe;break}n.have=0,n.mode=16197;case 16197:for(;n.have<n.ncode;){for(;u<3;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.lens[S[n.have++]]=7&c,c>>>=3,u-=3}for(;n.have<19;)n.lens[S[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},w=dfe(0,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,w){e.msg="invalid code lengths set",n.mode=Rfe;break}n.have=0,n.mode=16198;case 16198:for(;n.have<n.nlen+n.ndist;){for(;k=n.lencode[c&(1<<n.lenbits)-1],g=k>>>24,v=k>>>16&255,y=65535&k,!(g<=u);){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(y<16)c>>>=g,u-=g,n.lens[n.have++]=y;else{if(16===y){for(M=g+2;u<M;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(c>>>=g,u-=g,0===n.have){e.msg="invalid bit length repeat",n.mode=Rfe;break}A=n.lens[n.have-1],h=3+(3&c),c>>>=2,u-=2}else if(17===y){for(M=g+3;u<M;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}c>>>=g,u-=g,A=0,h=3+(7&c),c>>>=3,u-=3}else{for(M=g+7;u<M;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}c>>>=g,u-=g,A=0,h=11+(127&c),c>>>=7,u-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Rfe;break}for(;h--;)n.lens[n.have++]=A}}if(n.mode===Rfe)break;if(0===n.lens[256]){e.msg="invalid code -- missing end-of-block",n.mode=Rfe;break}if(n.lenbits=9,T={bits:n.lenbits},w=dfe(1,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,w){e.msg="invalid literal/lengths set",n.mode=Rfe;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},w=dfe(2,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,w){e.msg="invalid distances set",n.mode=Rfe;break}if(n.mode=Ofe,t===mfe)break e;case Ofe:n.mode=Cfe;case Cfe:if(s>=6&&l>=258){e.next_out=o,e.avail_out=l,e.next_in=a,e.avail_in=s,n.hold=c,n.bits=u,ofe(e,d),o=e.next_out,i=e.output,l=e.avail_out,a=e.next_in,r=e.input,s=e.avail_in,c=n.hold,u=n.bits,n.mode===Tfe&&(n.back=-1);break}for(n.back=0;k=n.lencode[c&(1<<n.lenbits)-1],g=k>>>24,v=k>>>16&255,y=65535&k,!(g<=u);){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(v&&!(240&v)){for(b=g,x=v,_=y;k=n.lencode[_+((c&(1<<b+x)-1)>>b)],g=k>>>24,v=k>>>16&255,y=65535&k,!(b+g<=u);){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}c>>>=b,u-=b,n.back+=b}if(c>>>=g,u-=g,n.back+=g,n.length=y,0===v){n.mode=16205;break}if(32&v){n.back=-1,n.mode=Tfe;break}if(64&v){e.msg="invalid literal/length code",n.mode=Rfe;break}n.extra=15&v,n.mode=16201;case 16201:if(n.extra){for(M=n.extra;u<M;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.length+=c&(1<<n.extra)-1,c>>>=n.extra,u-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=16202;case 16202:for(;k=n.distcode[c&(1<<n.distbits)-1],g=k>>>24,v=k>>>16&255,y=65535&k,!(g<=u);){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(!(240&v)){for(b=g,x=v,_=y;k=n.distcode[_+((c&(1<<b+x)-1)>>b)],g=k>>>24,v=k>>>16&255,y=65535&k,!(b+g<=u);){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}c>>>=b,u-=b,n.back+=b}if(c>>>=g,u-=g,n.back+=g,64&v){e.msg="invalid distance code",n.mode=Rfe;break}n.offset=y,n.extra=15&v,n.mode=16203;case 16203:if(n.extra){for(M=n.extra;u<M;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}n.offset+=c&(1<<n.extra)-1,c>>>=n.extra,u-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Rfe;break}n.mode=16204;case 16204:if(0===l)break e;if(h=d-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Rfe;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=o-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do{i[o++]=m[p++]}while(--h);0===n.length&&(n.mode=Cfe);break;case 16205:if(0===l)break e;i[o++]=n.length,l--,n.mode=Cfe;break;case Nfe:if(n.wrap){for(;u<32;){if(0===s)break e;s--,c|=r[a++]<<u,u+=8}if(d-=l,e.total_out+=d,n.total+=d,4&n.wrap&&d&&(e.adler=n.check=n.flags?Ice(n.check,i,d,o-d):Pce(n.check,i,d,o-d)),d=l,4&n.wrap&&(n.flags?c:Lfe(c))!==n.check){e.msg="incorrect data check",n.mode=Rfe;break}c=0,u=0}n.mode=16207;case 16207:if(n.wrap&&n.flags){for(;u<32;){if(0===s)break e;s--,c+=r[a++]<<u,u+=8}if(4&n.wrap&&c!==(4294967295&n.total)){e.msg="incorrect length check",n.mode=Rfe;break}c=0,u=0}n.mode=16208;case 16208:w=vfe;break e;case Rfe:w=xfe;break e;case 16210:return _fe;default:return bfe}return e.next_out=o,e.avail_out=l,e.next_in=a,e.avail_in=s,n.hold=c,n.bits=u,(n.wsize||d!==e.avail_out&&n.mode<Rfe&&(n.mode<Nfe||t!==hfe))&&qfe(e,e.output,e.next_out,d-e.avail_out),f-=e.avail_in,d-=e.avail_out,e.total_in+=f,e.total_out+=d,n.total+=d,4&n.wrap&&d&&(e.adler=n.check=n.flags?Ice(n.check,i,d,e.next_out-d):Pce(n.check,i,d,e.next_out-d)),e.data_type=n.bits+(n.last?64:0)+(n.mode===Tfe?128:0)+(n.mode===Ofe||n.mode===Sfe?256:0),(0===f&&0===d||t===hfe)&&w===gfe&&(w=Afe),w},Wfe={inflateReset:jfe,inflateReset2:Ffe,inflateResetKeep:Ife,inflateInit:e=>zfe(e,15),inflateInit2:zfe,inflate:Vfe,inflateEnd:e=>{if(Dfe(e))return bfe;let t=e.state;return t.window&&(t.window=null),e.state=null,gfe},inflateGetHeader:(e,t)=>{if(Dfe(e))return bfe;const n=e.state;return 2&n.wrap?(n.head=t,t.done=!1,gfe):bfe},inflateSetDictionary:(e,t)=>{const n=t.length;let r,i,a;return Dfe(e)?bfe:(r=e.state,0!==r.wrap&&r.mode!==Efe?bfe:r.mode===Efe&&(i=1,i=Pce(i,t,n,0),i!==r.check)?xfe:(a=qfe(e,t,n,n),a?(r.mode=16210,_fe):(r.havedict=1,gfe)))},inflateInfo:"pako inflate (from Nodeca project)"};var Gfe=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1};const Yfe=Object.prototype.toString,{Z_NO_FLUSH:Xfe,Z_FINISH:Kfe,Z_OK:Zfe,Z_STREAM_END:Jfe,Z_NEED_DICT:Qfe,Z_STREAM_ERROR:ede,Z_DATA_ERROR:tde,Z_MEM_ERROR:nde}=Fce;function rde(e){this.options=zue.assign({chunkSize:65536,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,0===t.windowBits&&(t.windowBits=-15)),!(t.windowBits>=0&&t.windowBits<16)||e&&e.windowBits||(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(15&t.windowBits||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new Hue,this.strm.avail_out=0;let n=Wfe.inflateInit2(this.strm,t.windowBits);if(n!==Zfe)throw new Error(jce[n]);if(this.header=new Gfe,Wfe.inflateGetHeader(this.strm,this.header),t.dictionary&&("string"==typeof t.dictionary?t.dictionary=$ue.string2buf(t.dictionary):"[object ArrayBuffer]"===Yfe.call(t.dictionary)&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=Wfe.inflateSetDictionary(this.strm,t.dictionary),n!==Zfe)))throw new Error(jce[n])}function ide(e,t){const n=new rde(t);if(n.push(e),n.err)throw n.msg||jce[n.err];return n.result}rde.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let a,o,s;if(this.ended)return!1;for(o=t===~~t?t:!0===t?Kfe:Xfe,"[object ArrayBuffer]"===Yfe.call(e)?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){for(0===n.avail_out&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),a=Wfe.inflate(n,o),a===Qfe&&i&&(a=Wfe.inflateSetDictionary(n,i),a===Zfe?a=Wfe.inflate(n,o):a===tde&&(a=Qfe));n.avail_in>0&&a===Jfe&&n.state.wrap>0&&0!==e[n.next_in];)Wfe.inflateReset(n),a=Wfe.inflate(n,o);switch(a){case ede:case tde:case Qfe:case nde:return this.onEnd(a),this.ended=!0,!1}if(s=n.avail_out,n.next_out&&(0===n.avail_out||a===Jfe))if("string"===this.options.to){let e=$ue.utf8border(n.output,n.next_out),t=n.next_out-e,i=$ue.buf2string(n.output,e);n.next_out=t,n.avail_out=r-t,t&&n.output.set(n.output.subarray(e,e+t),0),this.onData(i)}else this.onData(n.output.length===n.next_out?n.output:n.output.subarray(0,n.next_out));if(a!==Zfe||0!==s){if(a===Jfe)return a=Wfe.inflateEnd(this.strm),this.onEnd(a),this.ended=!0,!0;if(0===n.avail_in)break}}return!0},rde.prototype.onData=function(e){this.chunks.push(e)},rde.prototype.onEnd=function(e){e===Zfe&&("string"===this.options.to?this.result=this.chunks.join(""):this.result=zue.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};var ade=function(e,t){return(t=t||{}).raw=!0,ide(e,t)},ode={Inflate:rde,inflate:ide,inflateRaw:ade,ungzip:ide,constants:Fce};const{Deflate:sde,deflate:lde,deflateRaw:cde,gzip:ude}=ife,{Inflate:fde,inflate:dde,inflateRaw:hde,ungzip:pde}=ode;var mde={Deflate:sde,deflate:lde,deflateRaw:cde,gzip:ude,Inflate:fde,inflate:dde,inflateRaw:hde,ungzip:pde,constants:Fce};const gde="data:float32;base64,",vde="data:uint16;base64,",yde="data:uint32;base64,",bde="data:float32/zip;base64,",xde="data:uint16/zip;base64,",_de="data:uint32/zip;base64,",Ade="_resources";function wde(e){return"string"==typeof e&&(e.startsWith(gde)||e.startsWith(vde)||e.startsWith(yde))}function kde(e){return"string"==typeof e&&(e.startsWith(bde)||e.startsWith(_de)||e.startsWith(xde))}function Ede(e,t){if("string"!=typeof e)throw Error("'convertBase64toArray' only accepts string arguments. 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END_PAYLOAD-->
\ No newline at end of file
diff --git a/testdata/aux_outputs.tar.gz b/testdata/aux_outputs.tar.gz
new file mode 100644
index 0000000000000000000000000000000000000000..bc60bec39b01ca313bb06dc95701649ee7b3b29a
GIT binary patch
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diff --git a/testdata/cell_feature_matrix.h5 b/testdata/cell_feature_matrix.h5
new file mode 100644
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diff --git a/testdata/experiment.xenium b/testdata/experiment.xenium
new file mode 100644
index 000000000..8a79b4569
--- /dev/null
+++ b/testdata/experiment.xenium
@@ -0,0 +1,56 @@
+{
+    "major_version": 5,
+    "minor_version": 0,
+    "patch_version": 0,
+    "run_name": "run",
+    "run_start_time": "2024-05-29T00:14:01Z",
+    "region_name": "region",
+    "preservation_method": "fresh_frozen",
+    "num_cells": 36,
+    "transcripts_per_cell": 18,
+    "transcripts_per_100um": 19.666651647839945,
+    "region_area": 3958.2614062499997,
+    "total_cell_area": 2359.3238356411457,
+    "thickness_of_high_quality_decoded_transcripts": 9.126507181720186,
+    "nuclear_transcripts_per_100um": 28.29280705028081,
+    "fraction_transcripts_assigned": 0.8738229755178908,
+    "segmented_cell_stain_frac": 0.9166666666666666,
+    "segmented_cell_boundary_frac": 0.4166666666666667,
+    "segmented_cell_interior_frac": 0.5,
+    "segmented_cell_nuc_expansion_frac": 0.08333333333333333,
+    "imported_cell_frac": 0.0,
+    "cassette_name": "cassette",
+    "slide_id": "slide",
+    "panel_type": "predesigned",
+    "panel_design_id": "mAtlas_v1",
+    "panel_predesigned_id": "",
+    "panel_name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+    "panel_organism": "Mouse",
+    "panel_tissue_type": "Multi",
+    "panel_num_targets_predesigned": 5006,
+    "panel_num_targets_custom": 0,
+    "chemistry_version": "v2",
+    "pixel_size": 0.2125,
+    "instrument_sn": "R&D",
+    "instrument_sw_version": "R&D",
+    "analysis_sw_version": "xenium-3.0.0.15",
+    "analysis_uuid": "555b2f80-53d3-421f-80c3-77197a148685",
+    "experiment_uuid": "4f477cff-ec43-4e64-a723-b0017e7494c9",
+    "cassette_uuid": "d14dede1-b15e-42e9-84b7-f98798afaf24",
+    "roi_uuid": "d4c2d423-83ed-4e44-8dfd-a0072bcc3afc",
+    "z_step_size": 3.0,
+    "well_uuid": "def_a31d7c1d_rec_24e100ee",
+    "calibration_uuid": "b6842711-475f-473d-9b2c-13cf2a034535",
+    "images": {
+        "morphology_filepath": "morphology.ome.tif",
+        "morphology_focus_filepath": "morphology_focus/morphology_focus_0000.ome.tif"
+    },
+    "xenium_explorer_files": {
+        "transcripts_zarr_filepath": "transcripts.zarr.zip",
+        "cells_zarr_filepath": "cells.zarr.zip",
+        "cell_features_zarr_filepath": "cell_feature_matrix.zarr.zip",
+        "analysis_zarr_filepath": "analysis.zarr.zip",
+        "analysis_summary_filepath": "analysis_summary.html"
+    },
+    "segmentation_stain": "Xenium Multi-Tissue Stain"
+}
\ No newline at end of file
diff --git a/testdata/gene_panel.json b/testdata/gene_panel.json
new file mode 100644
index 000000000..48dfe013c
--- /dev/null
+++ b/testdata/gene_panel.json
@@ -0,0 +1,122178 @@
+{
+  "metadata": {
+    "sha256_checksum": "e838203fcdc270fa746258a46f1bf2d628cee6977e28313c6caf3188c70d6082",
+    "ui_props": {
+      "visible": true
+    }
+  },
+  "payload": {
+    "chemistry": {
+      "decoder": "xenium_decoding_v2",
+      "version": "v2"
+    },
+    "customer": {
+      "email": null,
+      "name": null
+    },
+    "designer": {
+      "date_created": "2024-02-26T17:00:00",
+      "designed_by": {
+        "email": null,
+        "name": "10x Genomics"
+      },
+      "version": "1.0.0"
+    },
+    "panel": {
+      "description": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+      "identity": {
+        "design_id": "mAtlas_v1",
+        "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+        "version": "1.0.0"
+      },
+      "num_gene_targets": 5006,
+      "species": "Mouse",
+      "tissue": "Multi",
+      "type": {
+        "descriptor": "predesigned"
+      }
+    },
+    "spec_version": "0.1.0",
+    "targets": [
+      {
+        "codewords": [
+          3773,
+          4982
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000052595",
+            "name": "A1cf"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          15150,
+          16219
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000030111",
+            "name": "A2m"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          6462,
+          487
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
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+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000018697",
+            "name": "Aatf"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          12880,
+          13244
+        ],
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+        },
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+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000015243",
+            "name": "Abca1"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          12338,
+          17315
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000004668",
+            "name": "Abca13"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          2085,
+          7698
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000024130",
+            "name": "Abca3"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          5774,
+          13036
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000028125",
+            "name": "Abca4"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          18257,
+          7256,
+          9678
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000035722",
+            "name": "Abca7"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          10315,
+          14587
+        ],
+        "info": {
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+        },
+        "source": {
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+          "identity": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000041828",
+            "name": "Abca8a"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          13834,
+          7566
+        ],
+        "info": {
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+        },
+        "source": {
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+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000020620",
+            "name": "Abca8b"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          13443,
+          7664
+        ],
+        "info": {
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+        },
+        "source": {
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+          "identity": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000040584",
+            "name": "Abcb1a"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          17219,
+          5469
+        ],
+        "info": {
+          "gene_coverage": 2
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000028970",
+            "name": "Abcb1b"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          15577,
+          17913
+        ],
+        "info": {
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+        },
+        "source": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000042476",
+            "name": "Abcb4"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          10518,
+          14534
+        ],
+        "info": {
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+        },
+        "source": {
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+          "identity": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000028973",
+            "name": "Abcb8"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          11277,
+          6593
+        ],
+        "info": {
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+        },
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+          }
+        },
+        "type": {
+          "data": {
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+            "name": "Abcc1"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
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+          3568,
+          9933
+        ],
+        "info": {
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+        },
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
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+            "name": "Abcc6"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
+          16086,
+          8414
+        ],
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+        },
+        "source": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000040136",
+            "name": "Abcc8"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
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+          4485
+        ],
+        "info": {
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+        },
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
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+            "name": "Abcc9"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
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+          86
+        ],
+        "info": {
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+        },
+        "source": {
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+          "identity": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "id": "ENSMUSG00000055782",
+            "name": "Abcd2"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
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+          8395,
+          4835,
+          5100
+        ],
+        "info": {
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+        },
+        "source": {
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+          }
+        },
+        "type": {
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+            "name": "Abcd3"
+          },
+          "descriptor": "gene"
+        }
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+          1188
+        ],
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+          }
+        },
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+          "data": {
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+            "name": "Abcf1"
+          },
+          "descriptor": "gene"
+        }
+      },
+      {
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+          9848
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+          }
+        },
+        "type": {
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+          },
+          "descriptor": "gene"
+        }
+      },
+      {
+        "codewords": [
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+            "version": "1.0.0"
+          }
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+          "descriptor": "genomic_control"
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+      },
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+          6976,
+          532
+        ],
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+        },
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10038_part_59"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          3016,
+          11059,
+          13578
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
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+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10059_part_31"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          14057,
+          4540,
+          6447
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_1019_part_13"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          16116,
+          11150,
+          9695
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10249_part_17"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          448,
+          2534,
+          10569
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_35"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          17351,
+          16699,
+          12470
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_38"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          7453,
+          7692,
+          864
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_39"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          14800,
+          17672,
+          10224
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_50"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          5099,
+          6399,
+          4029
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_51"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          5079,
+          2154,
+          11586
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_52"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          11264,
+          14971,
+          5209
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_105_part_73"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          16986,
+          9856,
+          7106
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10757_part_21"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          1905,
+          15334,
+          8297
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10757_part_30"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          11886,
+          7173,
+          1545
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10758_part_34"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          105,
+          8456,
+          16259
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10901_part_12"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          11685,
+          11235,
+          7092
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10945_part_15"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          9336,
+          1622,
+          4270
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
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+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10945_part_21"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          8585,
+          2939,
+          1969
+        ],
+        "info": {
+          "gene_coverage": 3
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10945_part_33"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
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+          5412
+        ],
+        "info": {
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+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "Intergenic_Region_10945_part_36"
+          },
+          "descriptor": "genomic_control"
+        }
+      },
+      {
+        "codewords": [
+          18533
+        ],
+        "info": {
+          "gene_coverage": 0
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "DeprecatedCodeword_18533"
+          },
+          "descriptor": "deprecated_codeword"
+        }
+      },
+      {
+        "codewords": [
+          8370
+        ],
+        "info": {
+          "gene_coverage": 0
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "DeprecatedCodeword_8370"
+          },
+          "descriptor": "deprecated_codeword"
+        }
+      },
+      {
+        "codewords": [
+          13397
+        ],
+        "info": {
+          "gene_coverage": 0
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "DeprecatedCodeword_13397"
+          },
+          "descriptor": "deprecated_codeword"
+        }
+      },
+      {
+        "codewords": [
+          6781
+        ],
+        "info": {
+          "gene_coverage": 0
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "DeprecatedCodeword_6781"
+          },
+          "descriptor": "deprecated_codeword"
+        }
+      },
+      {
+        "codewords": [
+          9904
+        ],
+        "info": {
+          "gene_coverage": 0
+        },
+        "source": {
+          "category": "current",
+          "identity": {
+            "design_id": "mAtlas_v1",
+            "name": "Xenium Mouse 5K Pan Tissue & Pathways Panel",
+            "version": "1.0.0"
+          }
+        },
+        "type": {
+          "data": {
+            "name": "DeprecatedCodeword_9904"
+          },
+          "descriptor": "deprecated_codeword"
+        }
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/testdata/metrics_summary.csv b/testdata/metrics_summary.csv
new file mode 100644
index 000000000..840ba9261
--- /dev/null
+++ b/testdata/metrics_summary.csv
@@ -0,0 +1,2 @@
+run_name,cassette_name,region_name,panel_name,panel_design_id,predesigned_panel_id,region_area,total_cell_area,total_high_quality_decoded_transcripts,fraction_transcripts_decoded_q20,fraction_predesigned_transcripts_decoded_q20,fraction_custom_transcripts_decoded_q20,nuclear_transcripts_per_100um2,decoded_transcripts_per_100um2,adjusted_negative_control_probe_rate,adjusted_negative_control_codeword_rate,adjusted_genomic_control_probe_rate,negative_control_probe_counts_per_control_per_cell,genomic_control_probe_counts_per_control_per_cell,estimated_number_of_false_positive_transcripts_per_cell,estimated_number_of_false_positive_transcripts_per_cell_including_genomic_counts,num_cells_detected,fraction_empty_cells,cells_per_100um2,fraction_transcripts_assigned,median_genes_per_cell,median_predesigned_genes_per_cell,median_custom_genes_per_cell,median_transcripts_per_cell,median_predesigned_transcripts_per_cell,median_custom_transcripts_per_cell,thickness_transcripts_high_quality,stain_definition,segmented_cell_stain_frac,segmented_cell_boundary_frac,segmented_cell_interior_frac,segmented_cell_nuc_expansion_frac,segmented_cell_boundary_count,segmented_cell_interior_count,segmented_cell_nuc_expansion_count,fraction_of_ambiguous_nucleus_mask_pixels,fraction_of_ambiguous_cell_mask_pixels,fraction_of_nucleus_polygons_removed,fraction_of_cell_polygons_removed,fraction_of_nuclei_without_cell,number_of_cell_non_simple_polygons,number_of_cell_multi_polygons,number_of_nucleus_non_simple_polygons,number_of_nucleus_multi_polygons,segmented_cell_imported_frac,segmented_cell_imported_count
+run,cassette,region,Xenium Mouse 5K Pan Tissue & Pathways Panel,mAtlas_v1,,3958.2614062499997,2359.3238356411457,531,0.35305851063829785,,,28.29280705028081,19.666651647839945,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36,0.41666666666666663,0.9094902106050111,0.8738229755178908,1,,,18,,,9.126507181720186,xenium_cell_segmentation_stains_v1,0.9166666666666666,0.4166666666666667,0.5,0.08333333333333333,15,18,3,,,,,,,,,,,
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diff --git a/testdata/nucleus_boundaries.csv.gz b/testdata/nucleus_boundaries.csv.gz
new file mode 100644
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