From 63de55a962c7b4df56c841a101a4842a93552f96 Mon Sep 17 00:00:00 2001
From: hillarymarler <152432687+hillarymarler@users.noreply.github.com>
Date: Thu, 30 Apr 2026 07:37:10 -0400
Subject: [PATCH 1/4] Update pkgdown.yaml

---
 .github/workflows/pkgdown.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml
index c59d5a7..ba2181f 100644
--- a/.github/workflows/pkgdown.yaml
+++ b/.github/workflows/pkgdown.yaml
@@ -22,7 +22,7 @@ jobs:
     permissions:
       contents: write
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       - uses: r-lib/actions/setup-pandoc@v2
 
@@ -41,7 +41,7 @@ jobs:
 
       - name: Deploy to GitHub pages 🚀
         if: github.event_name != 'pull_request'
-        uses: JamesIves/github-pages-deploy-action@v4.5.0
+        uses: JamesIves/github-pages-deploy-action@v4.8.0
         with:
           clean: false
           branch: gh-pages

From a7b5c4f464b884f3ec05d0d630c37f3c405a0158 Mon Sep 17 00:00:00 2001
From: hillarymarler <152432687+hillarymarler@users.noreply.github.com>
Date: Thu, 30 Apr 2026 08:53:45 -0400
Subject: [PATCH 2/4] precompute getting started vignette

---
 vignettes/GettingStartedWithrExpertQuery.Rmd  |  351 +-
 .../GettingStartedWithrExpertQuery.Rmd.orig   |  509 +
 vignettes/rExpertQueryCybertownTraining.html  | 8251 -----------------
 .../MathJax.js.download                       |   19 -
 4 files changed, 783 insertions(+), 8347 deletions(-)
 create mode 100644 vignettes/GettingStartedWithrExpertQuery.Rmd.orig
 delete mode 100644 vignettes/rExpertQueryCybertownTraining.html
 delete mode 100644 vignettes/rExpertQueryCybertownTraining_files/MathJax.js.download

diff --git a/vignettes/GettingStartedWithrExpertQuery.Rmd b/vignettes/GettingStartedWithrExpertQuery.Rmd
index 40a93fe..429d77c 100644
--- a/vignettes/GettingStartedWithrExpertQuery.Rmd
+++ b/vignettes/GettingStartedWithrExpertQuery.Rmd
@@ -3,7 +3,7 @@ title: "Getting Started With rExpertQuery"
 format: html
 editor: visual
 author: "ATTAINS Team"
-date: "`r Sys.Date()`"
+date: "2026-04-30"
 output: 
   rmarkdown::html_vignette:
     toc: true
@@ -21,22 +21,9 @@ editor_options:
     wrap: 72
 ---
 
-```{r setup, include = FALSE}
-library(knitr)
-library(dplyr)
-library(DT)
-```
 
-```{css, echo = F, eval = FALSE}
-pre {
-  max-height: auto;
-  overflow-y: auto;
-}
 
-pre[class] {
-  max-height: auto;
-}
-```
+
 
 ## About Expert Query and rExpertQuery
 
@@ -81,7 +68,8 @@ You can install and/or update the [rExpertQuery
 Package](https://github.com/USEPA/rExpertQuery) and all dependencies by
 running:
 
-```{r install, eval = TRUE, echo = TRUE, results = 'hide', message = FALSE, warning = FALSE}
+
+``` r
 if (!"remotes" %in% installed.packages()) {
   install.packages("remotes")
 }
@@ -92,9 +80,7 @@ library(dplyr)
 library(data.table)
 ```
 
-```{r testkey, include=FALSE}
-testkey <- "53BVce47MQ3KXKibjx35g4ojaDQGh8qWfbdO8cE0"
-```
+
 
 ## EQ_Actions
 
@@ -103,22 +89,21 @@ ATTAINS Actions data by a variety of user supplied parameters. For
 example, you might like to run a relatively simple query return data for
 all Region 4 Actions that should not be included in Measures.
 
-```{r eq.actions.r4, echo = TRUE, results = FALSE, message = FALSE, warning = FALSE}
+
+``` r
 # query Actions from Region 4 that are not included in Measures
 R4_actions_not_meas <- rExpertQuery::EQ_Actions(api_key = testkey, region = 4, in_meas = "No")
 ```
 
 This query returns
-`r formatC(nrow(R4_actions_not_meas), big.mark = ",")` results, so we'll
+202 results, so we'll
 review only a small random subset of them in a data table just to get an
 idea of what those results look like:
 
-```{r r4.url.prep, include = FALSE}
-# Actions Documents containing "nutrient"
-R4_actions_not_meas$planSummaryLink <- paste0('<a href="', R4_actions_not_meas$planSummaryLink, '" target="_blank">', R4_actions_not_meas$planSummaryLink, "</a>")
-```
 
-```{r r4.datatable}
+
+
+``` r
 # create random subset of R4 query results
 R4_subset <- R4_actions_not_meas |>
   dplyr::slice_sample(n = 20)
@@ -127,13 +112,19 @@ R4_subset <- R4_actions_not_meas |>
 DT::datatable(R4_subset, options = list(pageLength = 2, scrollX = TRUE))
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 You might also want to create a more specific query. For example, you
 might want to find all Actions from Missouri that were issued by EPA
 with completion dates between 2000-01-01 and 2020-12-31. As this more
 detailed query returns a smaller data set, the data table shows all
 results of the query
 
-```{r eq.actions.ex2, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 # query Actions for Missouri Actions with action agency "EPA" and parameter group "PATHOGENS"
 MO_epa <- rExpertQuery::EQ_Actions(
   api_key = testkey, statecode = "MO",
@@ -144,16 +135,23 @@ MO_epa <- rExpertQuery::EQ_Actions(
 )
 ```
 
-```{r mo.url.prep, include = FALSE}
-# Actions Documents containing "nutrient"
-MO_epa$planSummaryLink <- paste0('<a href="', MO_epa$planSummaryLink, '" target="_blank">', MO_epa$planSummaryLink, "</a>")
+```
+## [1] "EQ_Actions: The current query will return 4 rows."
 ```
 
-```{r mo.data.table}
+
+
+
+``` r
 # view MO results
 DT::datatable(MO_epa, options = list(pageLength = 10, scrollX = TRUE))
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_ActionsDocuments
 
 [**EQ_ActionsDocuments()**](https://usepa.github.io/rExpertQuery/reference/EQ_ActionsDocuments.html)queries
@@ -162,7 +160,8 @@ unique features is that you can search the documents themselves by
 keyword or phrase. For example, you might want to find all Actions
 Documents which contained the keyword "nutrients".
 
-```{r nutrients, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 # Actions Documents containing "nutrient"
 Nutrient_docs <- rExpertQuery::EQ_ActionsDocuments(
   doc_query = "nutrient",
@@ -170,50 +169,65 @@ Nutrient_docs <- rExpertQuery::EQ_ActionsDocuments(
 )
 ```
 
-This query yields `r formatC(nrow(Nutrient_docs), big.mark = ",")`
+```
+## [1] "EQ_ActionDocuments: The current query will return 16,962 rows."
+```
+
+This query yields 16,962
 results. As well as providing the Action and Document Name for all
 results, *EQ_Actions()* also returns the column "actionDocumentUrl"
 containg the URL to link to the document. Becaue the query yields so
 many results, we'll take a look at a smaller subset of them in a data
 table to understand the structure of the results.
 
-```{r nutrients.url.prep, include = FALSE}
-# Actions Documents containing "nutrient"
-Nutrient_docs$actionDocumentUrl <- paste0('<a href="', Nutrient_docs$actionDocumentUrl, '" target="_blank">', Nutrient_docs$actionDocumentUrl, "</a>")
-```
 
-```{r nutrients.data.table}
+
+
+``` r
 Nutrient_docs_subset <- Nutrient_docs |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(Nutrient_docs_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 You can also query by more typical parameters like organization name
 (org_name), EPA region (region) , or action type (act_type). The example
 below demonstrates using the function to search for 4B Restoration
 Approach documents from Pennsylvania.
 
-```{r pa.4b.ex, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 PA_4B <- rExpertQuery::EQ_ActionsDocuments(
   statecode = "PA", act_type = "4B Restoration Approach",
   api = testkey
 )
 ```
 
-```{r pa.url.prep, include = FALSE}
-# Actions Documents containing "nutrient"
-PA_4B$actionDocumentUrl <- paste0('<a href="', PA_4B$actionDocumentUrl, '" target="_blank">', PA_4B$actionDocumentUrl, "</a>")
+```
+## [1] "EQ_ActionDocuments: The current query will return 14 rows."
 ```
 
-```{r pa.4b.table}
+
+
+
+``` r
 PA_4B_subset <- PA_4B |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(PA_4B_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
-As there are only `r formatC(nrow(PA_4B), big.mark = ",")` 4B
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
+As there are only 17 4B
 Restoration Approach documents from Pennsylvania, we can review them all
 in the table below. As in the other Actions Document Example, the
 actionDocumentUrl column contains a link to the document.
@@ -225,23 +239,34 @@ ATTAINS Assessments data. For many use cases, querying Assessments for a
 single organization or state is desirable. The next example shows how to
 query by a single state and use class for the latest cycle.
 
-```{r ky.assess, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 KY_assessments <- rExpertQuery::EQ_Assessments(
   statecode = "KY",
   api_key = testkey
 )
 ```
 
-There are `r formatC(nrow(KY_assessments), big.mark = ",")` results for
+```
+## [1] "EQ_Assessments: The current query will return 20,254 rows."
+```
+
+There are 20,254 results for
 the basic latest cycle Kentucky query.
 
-```{r ky.table}
+
+``` r
 KY_subset <- KY_assessments |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(KY_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 It is also possible to design more specific assessment queries. For
 example, you might want to narrow down the results to show causes for a
 use class in one region. The code below demonstrates querying for EPA
@@ -249,7 +274,8 @@ Region 3 Assessments in the ECOLOGICAL_USE group with at least one
 parameter with the status "Cause". The data table below shows a random
 sample of the results from this Region 3 Query.
 
-```{r R3.ecological, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 R3_ecological <- rExpertQuery::EQ_Assessments(
   region = 3,
   use_group = "ECOLOGICAL_USE",
@@ -258,13 +284,23 @@ R3_ecological <- rExpertQuery::EQ_Assessments(
 )
 ```
 
-```{r r3.ecological.table}
+```
+## [1] "EQ_Assessments: The current query will return 150,188 rows."
+```
+
+
+``` r
 R3_ecological_subset <- R3_ecological |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(R3_ecological_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_AssessmentUnits
 
 [**EQ_AssessmentUnits()**](https://usepa.github.io/rExpertQuery/reference/EQ_AssessmentUnits.html)queries
@@ -274,27 +310,39 @@ assessment units, but input params can be adjusted to query for
 "Active". The example below shows a simple example for querying for
 Active assessment units for a single state.
 
-```{r ri.aus, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 RI_aus <- rExpertQuery::EQ_AssessmentUnits(
   statecode = "RI",
   api_key = testkey
 )
 ```
 
+```
+## [1] "EQ_AssessmentUnits: The current query will return 1,772 rows."
+```
+
 We can take a look at a random selection of 20 of the active assessment
 units from Rhode Island.
 
-```{r ri.table}
+
+``` r
 RI_aus_subset <- RI_aus |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(RI_aus_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 It is is also possible to search fo retired assessment units, as show in
 the example from Florida below.
 
-```{r fl.retired, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 FL_retired <- rExpertQuery::EQ_AssessmentUnits(
   statecode = "FL",
   au_status = "Retired",
@@ -302,13 +350,23 @@ FL_retired <- rExpertQuery::EQ_AssessmentUnits(
 )
 ```
 
-```{r fl.table}
+```
+## [1] "EQ_AssessmentUnits: The current query will return 0 rows."
+```
+
+
+``` r
 FL_ret_subset <- FL_retired |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(FL_ret_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_AUsMLs
 
 [**EQ_AUsMLs()**](https://usepa.github.io/rExpertQuery/reference/EQ_AUsMLs.html)returns
@@ -317,20 +375,27 @@ determinations at specific assessment units. Not all organizations
 provide monitoring location data in ATTAINS. The first example uses a
 state that does supply some monitoring location data.
 
-```{r akausmls, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 AK_ausmls <- rExpertQuery::EQ_AUsMLs(
   statecode = "AK",
   api_key = testkey
 )
+```
 
+```
+## [1] "EQ_AUsMLs: The current query will return 844 rows."
+```
+
+``` r
 AK_filt <- AK_ausmls |> dplyr::filter(!is.na(monitoringLocationId))
 ```
 
 While the resulting data set from the query has
-`r formatC(nrow(AK_ausmls), big.mark = ",")` results, filtering the data
+844 results, filtering the data
 set to retain only records where a monitoring location id has been
 recorded leads to a data set with
-`r formatC(nrow(AK_filt), big.mark = ",")` results.
+208 results.
 
 ## EQ_CatchCorr
 
@@ -341,28 +406,40 @@ practice is to make your query as specific as possible. Many machines
 may not have enough memory to load an entire state's worth of catchment
 correspondence data in an R session.
 
-```{r dc.catchcorr, results = TRUE, message = TRUE, warning = FALSE}
+
+``` r
 DC_catch <- rExpertQuery::EQ_CatchCorr(
   statecode = "DC",
   api_key = testkey
 )
 ```
 
+```
+## [1] "EQ_CatchCorr: The current query will return 2,438 rows."
+```
+
 The table below shows 20 random results from the DC catchment
 correspondence query.
 
-```{r dc.table}
+
+``` r
 DC_subset <- DC_catch |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(DC_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 It is also possible to focus on a specific assessment unit in catchment
 correspondence queries. The next example queries for a single Illinois
 assessment unit by its id.
 
-```{r il.au.catch, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 IL_N99_catch <- rExpertQuery::EQ_CatchCorr(
   statecode = "IL",
   auid = "IL_N-99",
@@ -370,15 +447,25 @@ IL_N99_catch <- rExpertQuery::EQ_CatchCorr(
 )
 ```
 
+```
+## [1] "EQ_CatchCorr: The current query will return 249 rows."
+```
+
 The resulting table shows all results from this much smaller query.
 
-```{r il.table}
+
+``` r
 IL_N99_subset <- IL_N99_catch |>
   dplyr::slice_sample(n = 20)
 
 DT::datatable(IL_N99_catch, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_NationalExtract
 
 [**EQ_NationalExtract()**](https://usepa.github.io/rExpertQuery/reference/EQ_NationalExtract.html)provides
@@ -389,14 +476,24 @@ National Extracts to download. The following examples show how to
 download the TMDL and Actions extracts. The extracts are all large files
 and some may not open in R if there is not enough memory available.
 
-```{r nat.tmdls, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 Nat_tmdls <- rExpertQuery::EQ_NationalExtract("tmdl")
 ```
 
-```{r nat.actions, results = TRUE, message = FALSE, warning = FALSE}
+```
+## [1] "EQ_NationalExtract: downloading Total Maximum Daily Load Profile (Expert Query National Extract). It was last updated on April 24, 2026 at 10:28 PM EDT."
+```
+
+
+``` r
 Nat_actions <- rExpertQuery::EQ_NationalExtract("actions")
 ```
 
+```
+## [1] "EQ_NationalExtract: downloading Actions Profile (Expert Query National Extract). It was last updated on April 24, 2026 at 10:29 PM EDT."
+```
+
 ## EQ_Sources
 
 [**EQ_Sources()**](https://usepa.github.io/rExpertQuery/reference/EQ_Sources.html)queries
@@ -409,7 +506,8 @@ sources for one state by a parameter group, for example searching for
 sources related to the parameter group "HABITAT ALTERATIONS" in
 Wisconsin.
 
-```{r wi.source.hab, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 WI_habalt_sources <- rExpertQuery::EQ_Sources(
   statecode = "WI",
   param_group = "HABITAT ALTERATIONS",
@@ -417,33 +515,54 @@ WI_habalt_sources <- rExpertQuery::EQ_Sources(
 )
 ```
 
-There were `r formatC(nrow(WI_habalt_sources), big.mark = ",")` for this
+```
+## [1] "EQ_Sources: The current query will return 587 rows."
+```
+
+There were 587 for this
 query, which can be reviewed in the data table below.
 
-```{r wi.table}
+
+``` r
 DT::datatable(WI_habalt_sources, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 It is also possible to query directly be the name of the source. The
 example below queries all organizations for the source
 "LEGACY/HISTORICAL POLLUTANTS".
 
-```{r source.legacy, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 legacy_sources <- rExpertQuery::EQ_Sources(
   source = "LEGACY/HISTORICAL POLLUTANTS",
   api_key = testkey
 )
 ```
 
-There were `r formatC(nrow(WI_habalt_sources), big.mark = ",")` records
+```
+## [1] "EQ_Sources: The current query will return 188 rows."
+```
+
+There were 587 records
 for the source "LEGACY/HISTORICAL POLLUTANTS". These results can be
 reviewed in the table below to see which states, regions, etc. are
 associated with this source.
 
-```{r legacy.table}
+
+``` r
 DT::datatable(legacy_sources, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_TMDLs
 
 [**EQ_TMDLs()**](https://usepa.github.io/rExpertQuery/reference/EQ_TMDLs.html)
@@ -452,7 +571,8 @@ example below shows querying Hawaii for TMDLs with a source_type of
 "Both", which means that both point and non point sources were part of
 the TMDL.
 
-```{r hi.tmdl.both, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 HI_both_tmdls <- rExpertQuery::EQ_TMDLs(
   statecode = "HI",
   source_type = "Both",
@@ -460,18 +580,29 @@ HI_both_tmdls <- rExpertQuery::EQ_TMDLs(
 )
 ```
 
-There `r formatC(nrow(HI_both_tmdls), big.mark = ",")` can be reviewed
+```
+## [1] "EQ_TMDL: The current query will return 474 rows."
+```
+
+There 474 can be reviewed
 in the data table below.
 
-```{r hi.table}
+
+``` r
 DT::datatable(HI_both_tmdls, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 This example demonstrates using another combination of arguments in the
 query, searching for records from EPA Region 10 that pertain to the
 addressed parameter group "CAUSE UNKNOWN".
 
-```{r unknown.r10, results = TRUE, message = FALSE, warning = FALSE}
+
+``` r
 R10_unknown <- rExpertQuery::EQ_TMDLs(
   region = 10,
   ad_param_group = "CAUSE UNKNOWN",
@@ -479,13 +610,23 @@ R10_unknown <- rExpertQuery::EQ_TMDLs(
 )
 ```
 
-There `r formatC(nrow(R10_unknown), big.mark = ",")` are displayed in
+```
+## [1] "EQ_TMDL: The current query will return 588 rows."
+```
+
+There 588 are displayed in
 the table below.
 
-```{r r10.uk.table}
+
+``` r
 DT::datatable(R10_unknown, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
 
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
+
 ## EQ_DomainValues
 
 [**EQ_DomainValues()**](https://usepa.github.io/rExpertQuery/reference/EQ_DomainValues.html)
@@ -494,16 +635,72 @@ be used in the other rExpertQuery functions. If run with no argument
 supplied, it will return a list of all available domains that can be
 used as an argument in **EQ_DomainValues()**.
 
-```{r see.dom.vals, results = TRUE, message = TRUE, warning = FALSE}
+
+``` r
 rExpertQuery::EQ_DomainValues()
 ```
 
+```
+## [1] "EQ_DomainValues: getting list of available domain names. Values in the eq_param column can be used as inputs in EQ_DomainValues."
+```
+
+```
+## EQ_DomainValues: domain list retrieved from ATTAINS web services.
+```
+
+```
+##              eq_param         attains_ws_name attains_ws_field
+## 1          act_agency              AgencyCode             name
+## 2          act_agency              AgencyCode             name
+## 3          act_status        ActionStatusType             name
+## 4            act_type              ActionType             code
+## 5            ad_param           ParameterName             name
+## 6      ad_param_group  ParameterGroupCodeType             name
+## 7        assess_basis     AssessmentBasisCode             name
+## 8      assess_methods          MethodTypeCode             name
+## 9        assess_types      AssessmentTypeCode             name
+## 10          au_status         StatusIndicator             name
+## 11              cause           ParameterName             name
+## 12      delist_reason     DelistingReasonCode             name
+## 13           doc_type      ActionDocumentType             name
+## 14          file_type        DocumentFileType             name
+## 15           loc_type        LocationTypeCode             name
+## 16             org_id                 OrgName             code
+## 17           org_name                 OrgName             name
+## 18       param_attain ParameterAttainmentCode             name
+## 19        param_group  ParameterGroupCodeType             name
+## 20         param_name           ParameterName             name
+## 21 param_state_ir_cat     StateIRCategoryCode             name
+## 22       param_status         ParameterStatus             name
+## 23       source_scale     SizeSourceScaleText             name
+## 24        source_type              SourceName             name
+## 25          statecode            OrgStateCode             name
+## 26           use_name                 UseName             name
+## 27        use_support       UseAttainmentCode             name
+## 28         water_type           WaterTypeCode             name
+```
+
 The example below shows how to return allowable values for "org_id".
 
-```{r dom.vals.org, results = TRUE, message = TRUE, warning = FALSE}
+
+``` r
 Org_vals <- rExpertQuery::EQ_DomainValues(domain = "org_id")
 ```
 
-```{r org.id.table}
+```
+## [1] "EQ_DomainValues: For org_id the values in the 'code' column of the function output are the allowable values for rExpert Query functions."
+```
+
+```
+## EQ_DomainValues: domain list retrieved from ATTAINS web services.
+```
+
+
+``` r
 DT::datatable(Org_vals, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
 ```
+
+```
+## Error in `loadNamespace()`:
+## ! there is no package called 'webshot'
+```
diff --git a/vignettes/GettingStartedWithrExpertQuery.Rmd.orig b/vignettes/GettingStartedWithrExpertQuery.Rmd.orig
new file mode 100644
index 0000000..40a93fe
--- /dev/null
+++ b/vignettes/GettingStartedWithrExpertQuery.Rmd.orig
@@ -0,0 +1,509 @@
+---
+title: "Getting Started With rExpertQuery"
+format: html
+editor: visual
+author: "ATTAINS Team"
+date: "`r Sys.Date()`"
+output: 
+  rmarkdown::html_vignette:
+    toc: true
+    fig_caption: yes
+    fig_height: 8
+    fig_width: 8
+vignette: >
+  %\VignetteEncoding{UTF-8}
+  %\VignetteIndexEntry{Getting Started With rExpertQuery}
+  %\VignetteEngine{knitr::rmarkdown}
+description: An overview of rExpertQuery functions for querying and downloading ATTAINS data via Expert Query web services.
+editor_options:
+  chunk_output_type: console
+  markdown:
+    wrap: 72
+---
+
+```{r setup, include = FALSE}
+library(knitr)
+library(dplyr)
+library(DT)
+```
+
+```{css, echo = F, eval = FALSE}
+pre {
+  max-height: auto;
+  overflow-y: auto;
+}
+
+pre[class] {
+  max-height: auto;
+}
+```
+
+## About Expert Query and rExpertQuery
+
+[Expert Query](https://owapps.epa.gov/expertquery/attains/tmdl) empowers
+users to access surface water quality data from the [Assessment and TMDL
+Tracking and Implementation System
+(ATTAINS)](https://www.epa.gov/waterdata/upload-data-resources-registered-attains-usershttps://www.epa.gov/waterdata/upload-data-resources-registered-attains-users)
+encompassing Assessment decisions (under Clean Water Act Sections
+303(d), 305(b), and 106) and Action data like Total Maximum Daily Loads
+(TMDLs), Advance Restoration Plans (ARPs), and Protection Approaches.
+
+The tool supports querying and downloading data within and across
+organizations (states or tribes), such as querying all the data within
+an EPA region or all nutrient TMDLs nationally. It also allows users to
+download national ATTAINS data extracts.
+
+rExpertQuery takes this a step further as its functions facilitate
+querying the Expert Query web services from R functions which allow the
+user to import the resulting data sets directly in to R for more
+detailed review and analysis.
+
+It is crucial to be aware of certain complexities inherent in the data
+and querying process. Users are cautioned against direct comparisons
+between states due to differences in water quality standards and
+assessment methodologies.
+
+While Expert Query facilitates data querying, it lacks built-in summary
+capabilities. Users are encouraged to download and summarize data, but
+use caution when relying on row counts, as duplicate entries may occur.
+This complexity arises from multiple tables that have many-to-many
+relationships. Future vignettes and functions may provide examples of
+how to summarize Expert Query data.
+
+## Installation
+
+You must first have R and R Studio installed to use the rExpert Query
+(see instructions below if needed). rExpert Query is in active
+development, therefore we highly recommend that you update it and all of
+its dependency libraries each time you use the package.
+
+You can install and/or update the [rExpertQuery
+Package](https://github.com/USEPA/rExpertQuery) and all dependencies by
+running:
+
+```{r install, eval = TRUE, echo = TRUE, results = 'hide', message = FALSE, warning = FALSE}
+if (!"remotes" %in% installed.packages()) {
+  install.packages("remotes")
+}
+
+remotes::install_github("USEPA/rExpertQuery", ref = "develop", dependencies = TRUE, force = TRUE)
+
+library(dplyr)
+library(data.table)
+```
+
+```{r testkey, include=FALSE}
+testkey <- "53BVce47MQ3KXKibjx35g4ojaDQGh8qWfbdO8cE0"
+```
+
+## EQ_Actions
+
+[**EQ_Actions()**](https://usepa.github.io/rExpertQuery/reference/EQ_Actions.htmlhttps://usepa.github.io/rExpertQuery/reference/EQ_Actions.html)queries
+ATTAINS Actions data by a variety of user supplied parameters. For
+example, you might like to run a relatively simple query return data for
+all Region 4 Actions that should not be included in Measures.
+
+```{r eq.actions.r4, echo = TRUE, results = FALSE, message = FALSE, warning = FALSE}
+# query Actions from Region 4 that are not included in Measures
+R4_actions_not_meas <- rExpertQuery::EQ_Actions(api_key = testkey, region = 4, in_meas = "No")
+```
+
+This query returns
+`r formatC(nrow(R4_actions_not_meas), big.mark = ",")` results, so we'll
+review only a small random subset of them in a data table just to get an
+idea of what those results look like:
+
+```{r r4.url.prep, include = FALSE}
+# Actions Documents containing "nutrient"
+R4_actions_not_meas$planSummaryLink <- paste0('<a href="', R4_actions_not_meas$planSummaryLink, '" target="_blank">', R4_actions_not_meas$planSummaryLink, "</a>")
+```
+
+```{r r4.datatable}
+# create random subset of R4 query results
+R4_subset <- R4_actions_not_meas |>
+  dplyr::slice_sample(n = 20)
+
+# create data tab;e
+DT::datatable(R4_subset, options = list(pageLength = 2, scrollX = TRUE))
+```
+
+You might also want to create a more specific query. For example, you
+might want to find all Actions from Missouri that were issued by EPA
+with completion dates between 2000-01-01 and 2020-12-31. As this more
+detailed query returns a smaller data set, the data table shows all
+results of the query
+
+```{r eq.actions.ex2, results = TRUE, message = FALSE, warning = FALSE}
+# query Actions for Missouri Actions with action agency "EPA" and parameter group "PATHOGENS"
+MO_epa <- rExpertQuery::EQ_Actions(
+  api_key = testkey, statecode = "MO",
+  act_agency = "EPA",
+  param_group = "PATHOGENS",
+  comp_date_start = "2000-01-01",
+  comp_date_end = "2020-12-31"
+)
+```
+
+```{r mo.url.prep, include = FALSE}
+# Actions Documents containing "nutrient"
+MO_epa$planSummaryLink <- paste0('<a href="', MO_epa$planSummaryLink, '" target="_blank">', MO_epa$planSummaryLink, "</a>")
+```
+
+```{r mo.data.table}
+# view MO results
+DT::datatable(MO_epa, options = list(pageLength = 10, scrollX = TRUE))
+```
+
+## EQ_ActionsDocuments
+
+[**EQ_ActionsDocuments()**](https://usepa.github.io/rExpertQuery/reference/EQ_ActionsDocuments.html)queries
+ATTAINS Actions Documents data with user supplied parameters. One of its
+unique features is that you can search the documents themselves by
+keyword or phrase. For example, you might want to find all Actions
+Documents which contained the keyword "nutrients".
+
+```{r nutrients, results = TRUE, message = FALSE, warning = FALSE}
+# Actions Documents containing "nutrient"
+Nutrient_docs <- rExpertQuery::EQ_ActionsDocuments(
+  doc_query = "nutrient",
+  api_key = testkey
+)
+```
+
+This query yields `r formatC(nrow(Nutrient_docs), big.mark = ",")`
+results. As well as providing the Action and Document Name for all
+results, *EQ_Actions()* also returns the column "actionDocumentUrl"
+containg the URL to link to the document. Becaue the query yields so
+many results, we'll take a look at a smaller subset of them in a data
+table to understand the structure of the results.
+
+```{r nutrients.url.prep, include = FALSE}
+# Actions Documents containing "nutrient"
+Nutrient_docs$actionDocumentUrl <- paste0('<a href="', Nutrient_docs$actionDocumentUrl, '" target="_blank">', Nutrient_docs$actionDocumentUrl, "</a>")
+```
+
+```{r nutrients.data.table}
+Nutrient_docs_subset <- Nutrient_docs |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(Nutrient_docs_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+You can also query by more typical parameters like organization name
+(org_name), EPA region (region) , or action type (act_type). The example
+below demonstrates using the function to search for 4B Restoration
+Approach documents from Pennsylvania.
+
+```{r pa.4b.ex, results = TRUE, message = FALSE, warning = FALSE}
+PA_4B <- rExpertQuery::EQ_ActionsDocuments(
+  statecode = "PA", act_type = "4B Restoration Approach",
+  api = testkey
+)
+```
+
+```{r pa.url.prep, include = FALSE}
+# Actions Documents containing "nutrient"
+PA_4B$actionDocumentUrl <- paste0('<a href="', PA_4B$actionDocumentUrl, '" target="_blank">', PA_4B$actionDocumentUrl, "</a>")
+```
+
+```{r pa.4b.table}
+PA_4B_subset <- PA_4B |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(PA_4B_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+As there are only `r formatC(nrow(PA_4B), big.mark = ",")` 4B
+Restoration Approach documents from Pennsylvania, we can review them all
+in the table below. As in the other Actions Document Example, the
+actionDocumentUrl column contains a link to the document.
+
+## EQ_Assessments
+
+[**EQ_Assessments()**](https://usepa.github.io/rExpertQuery/reference/EQ_Assessments.html)queries
+ATTAINS Assessments data. For many use cases, querying Assessments for a
+single organization or state is desirable. The next example shows how to
+query by a single state and use class for the latest cycle.
+
+```{r ky.assess, results = TRUE, message = FALSE, warning = FALSE}
+KY_assessments <- rExpertQuery::EQ_Assessments(
+  statecode = "KY",
+  api_key = testkey
+)
+```
+
+There are `r formatC(nrow(KY_assessments), big.mark = ",")` results for
+the basic latest cycle Kentucky query.
+
+```{r ky.table}
+KY_subset <- KY_assessments |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(KY_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+It is also possible to design more specific assessment queries. For
+example, you might want to narrow down the results to show causes for a
+use class in one region. The code below demonstrates querying for EPA
+Region 3 Assessments in the ECOLOGICAL_USE group with at least one
+parameter with the status "Cause". The data table below shows a random
+sample of the results from this Region 3 Query.
+
+```{r R3.ecological, results = TRUE, message = FALSE, warning = FALSE}
+R3_ecological <- rExpertQuery::EQ_Assessments(
+  region = 3,
+  use_group = "ECOLOGICAL_USE",
+  param_status = "Cause",
+  api_key = testkey
+)
+```
+
+```{r r3.ecological.table}
+R3_ecological_subset <- R3_ecological |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(R3_ecological_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+## EQ_AssessmentUnits
+
+[**EQ_AssessmentUnits()**](https://usepa.github.io/rExpertQuery/reference/EQ_AssessmentUnits.html)queries
+ATTAINS Assessment Units data. The default is to only return "Active"
+assessment units, but input params can be adjusted to query for
+"Retired" or "Historical" assessment units in addition to or instead of
+"Active". The example below shows a simple example for querying for
+Active assessment units for a single state.
+
+```{r ri.aus, results = TRUE, message = FALSE, warning = FALSE}
+RI_aus <- rExpertQuery::EQ_AssessmentUnits(
+  statecode = "RI",
+  api_key = testkey
+)
+```
+
+We can take a look at a random selection of 20 of the active assessment
+units from Rhode Island.
+
+```{r ri.table}
+RI_aus_subset <- RI_aus |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(RI_aus_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+It is is also possible to search fo retired assessment units, as show in
+the example from Florida below.
+
+```{r fl.retired, results = TRUE, message = FALSE, warning = FALSE}
+FL_retired <- rExpertQuery::EQ_AssessmentUnits(
+  statecode = "FL",
+  au_status = "Retired",
+  api_key = testkey
+)
+```
+
+```{r fl.table}
+FL_ret_subset <- FL_retired |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(FL_ret_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+## EQ_AUsMLs
+
+[**EQ_AUsMLs()**](https://usepa.github.io/rExpertQuery/reference/EQ_AUsMLs.html)returns
+information on the monitoring locations used to make assessment
+determinations at specific assessment units. Not all organizations
+provide monitoring location data in ATTAINS. The first example uses a
+state that does supply some monitoring location data.
+
+```{r akausmls, results = TRUE, message = FALSE, warning = FALSE}
+AK_ausmls <- rExpertQuery::EQ_AUsMLs(
+  statecode = "AK",
+  api_key = testkey
+)
+
+AK_filt <- AK_ausmls |> dplyr::filter(!is.na(monitoringLocationId))
+```
+
+While the resulting data set from the query has
+`r formatC(nrow(AK_ausmls), big.mark = ",")` results, filtering the data
+set to retain only records where a monitoring location id has been
+recorded leads to a data set with
+`r formatC(nrow(AK_filt), big.mark = ",")` results.
+
+## EQ_CatchCorr
+
+[**EQ_CatchCorr()**](https://usepa.github.io/rExpertQuery/reference/EQ_CatchCorr.html)
+queries ATTAINS Catchment Correspondance data. These queries return
+large files, particularly if a large geospatial area is defined, so best
+practice is to make your query as specific as possible. Many machines
+may not have enough memory to load an entire state's worth of catchment
+correspondence data in an R session.
+
+```{r dc.catchcorr, results = TRUE, message = TRUE, warning = FALSE}
+DC_catch <- rExpertQuery::EQ_CatchCorr(
+  statecode = "DC",
+  api_key = testkey
+)
+```
+
+The table below shows 20 random results from the DC catchment
+correspondence query.
+
+```{r dc.table}
+DC_subset <- DC_catch |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(DC_subset, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+It is also possible to focus on a specific assessment unit in catchment
+correspondence queries. The next example queries for a single Illinois
+assessment unit by its id.
+
+```{r il.au.catch, results = TRUE, message = FALSE, warning = FALSE}
+IL_N99_catch <- rExpertQuery::EQ_CatchCorr(
+  statecode = "IL",
+  auid = "IL_N-99",
+  api_key = testkey
+)
+```
+
+The resulting table shows all results from this much smaller query.
+
+```{r il.table}
+IL_N99_subset <- IL_N99_catch |>
+  dplyr::slice_sample(n = 20)
+
+DT::datatable(IL_N99_catch, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+## EQ_NationalExtract
+
+[**EQ_NationalExtract()**](https://usepa.github.io/rExpertQuery/reference/EQ_NationalExtract.html)provides
+an efficient method for importing the [Expert Query National
+Extracts](https://owapps.epa.gov/expertquery/national-downloads). This
+function requires one argument, "extract" to specify which of the
+National Extracts to download. The following examples show how to
+download the TMDL and Actions extracts. The extracts are all large files
+and some may not open in R if there is not enough memory available.
+
+```{r nat.tmdls, results = TRUE, message = FALSE, warning = FALSE}
+Nat_tmdls <- rExpertQuery::EQ_NationalExtract("tmdl")
+```
+
+```{r nat.actions, results = TRUE, message = FALSE, warning = FALSE}
+Nat_actions <- rExpertQuery::EQ_NationalExtract("actions")
+```
+
+## EQ_Sources
+
+[**EQ_Sources()**](https://usepa.github.io/rExpertQuery/reference/EQ_Sources.html)queries
+ATTAINS Sources data. Not all organizations report sources in their
+assessments,
+
+but for those that do, querying by source can be another useful option
+for querying ATTAINS data. The next code chunk shows how to query
+sources for one state by a parameter group, for example searching for
+sources related to the parameter group "HABITAT ALTERATIONS" in
+Wisconsin.
+
+```{r wi.source.hab, results = TRUE, message = FALSE, warning = FALSE}
+WI_habalt_sources <- rExpertQuery::EQ_Sources(
+  statecode = "WI",
+  param_group = "HABITAT ALTERATIONS",
+  api_key = testkey
+)
+```
+
+There were `r formatC(nrow(WI_habalt_sources), big.mark = ",")` for this
+query, which can be reviewed in the data table below.
+
+```{r wi.table}
+DT::datatable(WI_habalt_sources, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+It is also possible to query directly be the name of the source. The
+example below queries all organizations for the source
+"LEGACY/HISTORICAL POLLUTANTS".
+
+```{r source.legacy, results = TRUE, message = FALSE, warning = FALSE}
+legacy_sources <- rExpertQuery::EQ_Sources(
+  source = "LEGACY/HISTORICAL POLLUTANTS",
+  api_key = testkey
+)
+```
+
+There were `r formatC(nrow(WI_habalt_sources), big.mark = ",")` records
+for the source "LEGACY/HISTORICAL POLLUTANTS". These results can be
+reviewed in the table below to see which states, regions, etc. are
+associated with this source.
+
+```{r legacy.table}
+DT::datatable(legacy_sources, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+## EQ_TMDLs
+
+[**EQ_TMDLs()**](https://usepa.github.io/rExpertQuery/reference/EQ_TMDLs.html)
+queries ATTAINS TMDL data and can utilize many search parameters. The
+example below shows querying Hawaii for TMDLs with a source_type of
+"Both", which means that both point and non point sources were part of
+the TMDL.
+
+```{r hi.tmdl.both, results = TRUE, message = FALSE, warning = FALSE}
+HI_both_tmdls <- rExpertQuery::EQ_TMDLs(
+  statecode = "HI",
+  source_type = "Both",
+  api_key = testkey
+)
+```
+
+There `r formatC(nrow(HI_both_tmdls), big.mark = ",")` can be reviewed
+in the data table below.
+
+```{r hi.table}
+DT::datatable(HI_both_tmdls, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+This example demonstrates using another combination of arguments in the
+query, searching for records from EPA Region 10 that pertain to the
+addressed parameter group "CAUSE UNKNOWN".
+
+```{r unknown.r10, results = TRUE, message = FALSE, warning = FALSE}
+R10_unknown <- rExpertQuery::EQ_TMDLs(
+  region = 10,
+  ad_param_group = "CAUSE UNKNOWN",
+  api_key = testkey
+)
+```
+
+There `r formatC(nrow(R10_unknown), big.mark = ",")` are displayed in
+the table below.
+
+```{r r10.uk.table}
+DT::datatable(R10_unknown, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
+
+## EQ_DomainValues
+
+[**EQ_DomainValues()**](https://usepa.github.io/rExpertQuery/reference/EQ_DomainValues.html)
+is a function to help users understand the available domain values can
+be used in the other rExpertQuery functions. If run with no argument
+supplied, it will return a list of all available domains that can be
+used as an argument in **EQ_DomainValues()**.
+
+```{r see.dom.vals, results = TRUE, message = TRUE, warning = FALSE}
+rExpertQuery::EQ_DomainValues()
+```
+
+The example below shows how to return allowable values for "org_id".
+
+```{r dom.vals.org, results = TRUE, message = TRUE, warning = FALSE}
+Org_vals <- rExpertQuery::EQ_DomainValues(domain = "org_id")
+```
+
+```{r org.id.table}
+DT::datatable(Org_vals, options = list(pageLength = 5, scrollX = TRUE), escape = FALSE)
+```
diff --git a/vignettes/rExpertQueryCybertownTraining.html b/vignettes/rExpertQueryCybertownTraining.html
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-<!-- saved from url=(0102)file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html -->
-<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-
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-<meta http-equiv="X-UA-Compatible" content="IE=EDGE">
-
-<meta name="viewport" content="width=device-width, initial-scale=1">
-
-<meta name="author" content="ATTAINS Team">
-
-<meta name="date" content="2025-05-28">
-
-<title>rExpertQuery Cybertown Training</title>
-
-<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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-.html-fill-container > :not(.html-fill-item) {
-
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-}
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-  window.HTMLWidgets = window.HTMLWidgets || {};
-
-  // See if we're running in a viewer pane. If not, we're in a web browser.
-  var viewerMode = window.HTMLWidgets.viewerMode =
-      /\bviewer_pane=1\b/.test(window.location);
-
-  // See if we're running in Shiny mode. If not, it's a static document.
-  // Note that static widgets can appear in both Shiny and static modes, but
-  // obviously, Shiny widgets can only appear in Shiny apps/documents.
-  var shinyMode = window.HTMLWidgets.shinyMode =
-      typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;
-
-  // We can't count on jQuery being available, so we implement our own
-  // version if necessary.
-  function querySelectorAll(scope, selector) {
-    if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
-      return scope.find(selector);
-    }
-    if (scope.querySelectorAll) {
-      return scope.querySelectorAll(selector);
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-
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-  // For example:
-  //
-  // var a = {
-  //   method1: function() { console.log('a1'); }
-  //   method2: function() { console.log('a2'); }
-  // };
-  // var b = {
-  //   method1: function() { console.log('b1'); }
-  // };
-  // delegateMethod(a, b, "method1");
-  // delegateMethod(a, b, "method2");
-  // a.method1();
-  // a.method2();
-  //
-  // The output would be "b1", "a2".
-  function delegateMethod(delegator, delegatee, methodName) {
-    var inherited = delegator[methodName];
-    delegator[methodName] = function() {
-      var target = delegatee;
-      var method = delegatee[methodName];
-
-      // The method doesn't exist on the delegatee. Instead,
-      // call the method on the delegator, if it exists.
-      if (!method) {
-        target = delegator;
-        method = inherited;
-      }
-
-      if (method) {
-        return method.apply(target, arguments);
-      }
-    };
-  }
-
-  // Implement a vague facsimilie of jQuery's data method
-  function elementData(el, name, value) {
-    if (arguments.length == 2) {
-      return el["htmlwidget_data_" + name];
-    } else if (arguments.length == 3) {
-      el["htmlwidget_data_" + name] = value;
-      return el;
-    } else {
-      throw new Error("Wrong number of arguments for elementData: " +
-        arguments.length);
-    }
-  }
-
-  // http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
-  function escapeRegExp(str) {
-    return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&");
-  }
-
-  function hasClass(el, className) {
-    var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
-    return re.test(el.className);
-  }
-
-  // elements - array (or array-like object) of HTML elements
-  // className - class name to test for
-  // include - if true, only return elements with given className;
-  //   if false, only return elements *without* given className
-  function filterByClass(elements, className, include) {
-    var results = [];
-    for (var i = 0; i < elements.length; i++) {
-      if (hasClass(elements[i], className) == include)
-        results.push(elements[i]);
-    }
-    return results;
-  }
-
-  function on(obj, eventName, func) {
-    if (obj.addEventListener) {
-      obj.addEventListener(eventName, func, false);
-    } else if (obj.attachEvent) {
-      obj.attachEvent(eventName, func);
-    }
-  }
-
-  function off(obj, eventName, func) {
-    if (obj.removeEventListener)
-      obj.removeEventListener(eventName, func, false);
-    else if (obj.detachEvent) {
-      obj.detachEvent(eventName, func);
-    }
-  }
-
-  // Translate array of values to top/right/bottom/left, as usual with
-  // the "padding" CSS property
-  // https://developer.mozilla.org/en-US/docs/Web/CSS/padding
-  function unpackPadding(value) {
-    if (typeof(value) === "number")
-      value = [value];
-    if (value.length === 1) {
-      return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
-    }
-    if (value.length === 2) {
-      return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
-    }
-    if (value.length === 3) {
-      return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
-    }
-    if (value.length === 4) {
-      return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
-    }
-  }
-
-  // Convert an unpacked padding object to a CSS value
-  function paddingToCss(paddingObj) {
-    return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
-  }
-
-  // Makes a number suitable for CSS
-  function px(x) {
-    if (typeof(x) === "number")
-      return x + "px";
-    else
-      return x;
-  }
-
-  // Retrieves runtime widget sizing information for an element.
-  // The return value is either null, or an object with fill, padding,
-  // defaultWidth, defaultHeight fields.
-  function sizingPolicy(el) {
-    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
-    if (!sizingEl)
-      return null;
-    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
-    if (viewerMode) {
-      return sp.viewer;
-    } else {
-      return sp.browser;
-    }
-  }
-
-  // @param tasks Array of strings (or falsy value, in which case no-op).
-  //   Each element must be a valid JavaScript expression that yields a
-  //   function. Or, can be an array of objects with "code" and "data"
-  //   properties; in this case, the "code" property should be a string
-  //   of JS that's an expr that yields a function, and "data" should be
-  //   an object that will be added as an additional argument when that
-  //   function is called.
-  // @param target The object that will be "this" for each function
-  //   execution.
-  // @param args Array of arguments to be passed to the functions. (The
-  //   same arguments will be passed to all functions.)
-  function evalAndRun(tasks, target, args) {
-    if (tasks) {
-      forEach(tasks, function(task) {
-        var theseArgs = args;
-        if (typeof(task) === "object") {
-          theseArgs = theseArgs.concat([task.data]);
-          task = task.code;
-        }
-        var taskFunc = tryEval(task);
-        if (typeof(taskFunc) !== "function") {
-          throw new Error("Task must be a function! Source:\n" + task);
-        }
-        taskFunc.apply(target, theseArgs);
-      });
-    }
-  }
-
-  // Attempt eval() both with and without enclosing in parentheses.
-  // Note that enclosing coerces a function declaration into
-  // an expression that eval() can parse
-  // (otherwise, a SyntaxError is thrown)
-  function tryEval(code) {
-    var result = null;
-    try {
-      result = eval("(" + code + ")");
-    } catch(error) {
-      if (!(error instanceof SyntaxError)) {
-        throw error;
-      }
-      try {
-        result = eval(code);
-      } catch(e) {
-        if (e instanceof SyntaxError) {
-          throw error;
-        } else {
-          throw e;
-        }
-      }
-    }
-    return result;
-  }
-
-  function initSizing(el) {
-    var sizing = sizingPolicy(el);
-    if (!sizing)
-      return;
-
-    var cel = document.getElementById("htmlwidget_container");
-    if (!cel)
-      return;
-
-    if (typeof(sizing.padding) !== "undefined") {
-      document.body.style.margin = "0";
-      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
-    }
-
-    if (sizing.fill) {
-      document.body.style.overflow = "hidden";
-      document.body.style.width = "100%";
-      document.body.style.height = "100%";
-      document.documentElement.style.width = "100%";
-      document.documentElement.style.height = "100%";
-      cel.style.position = "absolute";
-      var pad = unpackPadding(sizing.padding);
-      cel.style.top = pad.top + "px";
-      cel.style.right = pad.right + "px";
-      cel.style.bottom = pad.bottom + "px";
-      cel.style.left = pad.left + "px";
-      el.style.width = "100%";
-      el.style.height = "100%";
-
-      return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
-      };
-
-    } else {
-      el.style.width = px(sizing.width);
-      el.style.height = px(sizing.height);
-
-      return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
-      };
-    }
-  }
-
-  // Default implementations for methods
-  var defaults = {
-    find: function(scope) {
-      return querySelectorAll(scope, "." + this.name);
-    },
-    renderError: function(el, err) {
-      var $el = $(el);
-
-      this.clearError(el);
-
-      // Add all these error classes, as Shiny does
-      var errClass = "shiny-output-error";
-      if (err.type !== null) {
-        // use the classes of the error condition as CSS class names
-        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
-          return errClass + "-" + type;
-        }).join(" ");
-      }
-      errClass = errClass + " htmlwidgets-error";
-
-      // Is el inline or block? If inline or inline-block, just display:none it
-      // and add an inline error.
-      var display = $el.css("display");
-      $el.data("restore-display-mode", display);
-
-      if (display === "inline" || display === "inline-block") {
-        $el.hide();
-        if (err.message !== "") {
-          var errorSpan = $("<span>").addClass(errClass);
-          errorSpan.text(err.message);
-          $el.after(errorSpan);
-        }
-      } else if (display === "block") {
-        // If block, add an error just after the el, set visibility:none on the
-        // el, and position the error to be on top of the el.
-        // Mark it with a unique ID and CSS class so we can remove it later.
-        $el.css("visibility", "hidden");
-        if (err.message !== "") {
-          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
-            .css("top", el.offsetTop)
-            .css("left", el.offsetLeft)
-            // setting width can push out the page size, forcing otherwise
-            // unnecessary scrollbars to appear and making it impossible for
-            // the element to shrink; so use max-width instead
-            .css("maxWidth", el.offsetWidth)
-            .css("height", el.offsetHeight);
-          errorDiv.text(err.message);
-          $el.after(errorDiv);
-
-          // Really dumb way to keep the size/position of the error in sync with
-          // the parent element as the window is resized or whatever.
-          var intId = setInterval(function() {
-            if (!errorDiv[0].parentElement) {
-              clearInterval(intId);
-              return;
-            }
-            errorDiv
-              .css("top", el.offsetTop)
-              .css("left", el.offsetLeft)
-              .css("maxWidth", el.offsetWidth)
-              .css("height", el.offsetHeight);
-          }, 500);
-        }
-      }
-    },
-    clearError: function(el) {
-      var $el = $(el);
-      var display = $el.data("restore-display-mode");
-      $el.data("restore-display-mode", null);
-
-      if (display === "inline" || display === "inline-block") {
-        if (display)
-          $el.css("display", display);
-        $(el.nextSibling).filter(".htmlwidgets-error").remove();
-      } else if (display === "block"){
-        $el.css("visibility", "inherit");
-        $(el.nextSibling).filter(".htmlwidgets-error").remove();
-      }
-    },
-    sizing: {}
-  };
-
-  // Called by widget bindings to register a new type of widget. The definition
-  // object can contain the following properties:
-  // - name (required) - A string indicating the binding name, which will be
-  //   used by default as the CSS classname to look for.
-  // - initialize (optional) - A function(el) that will be called once per
-  //   widget element; if a value is returned, it will be passed as the third
-  //   value to renderValue.
-  // - renderValue (required) - A function(el, data, initValue) that will be
-  //   called with data. Static contexts will cause this to be called once per
-  //   element; Shiny apps will cause this to be called multiple times per
-  //   element, as the data changes.
-  window.HTMLWidgets.widget = function(definition) {
-    if (!definition.name) {
-      throw new Error("Widget must have a name");
-    }
-    if (!definition.type) {
-      throw new Error("Widget must have a type");
-    }
-    // Currently we only support output widgets
-    if (definition.type !== "output") {
-      throw new Error("Unrecognized widget type '" + definition.type + "'");
-    }
-    // TODO: Verify that .name is a valid CSS classname
-
-    // Support new-style instance-bound definitions. Old-style class-bound
-    // definitions have one widget "object" per widget per type/class of
-    // widget; the renderValue and resize methods on such widget objects
-    // take el and instance arguments, because the widget object can't
-    // store them. New-style instance-bound definitions have one widget
-    // object per widget instance; the definition that's passed in doesn't
-    // provide renderValue or resize methods at all, just the single method
-    //   factory(el, width, height)
-    // which returns an object that has renderValue(x) and resize(w, h).
-    // This enables a far more natural programming style for the widget
-    // author, who can store per-instance state using either OO-style
-    // instance fields or functional-style closure variables (I guess this
-    // is in contrast to what can only be called C-style pseudo-OO which is
-    // what we required before).
-    if (definition.factory) {
-      definition = createLegacyDefinitionAdapter(definition);
-    }
-
-    if (!definition.renderValue) {
-      throw new Error("Widget must have a renderValue function");
-    }
-
-    // For static rendering (non-Shiny), use a simple widget registration
-    // scheme. We also use this scheme for Shiny apps/documents that also
-    // contain static widgets.
-    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
-    // Merge defaults into the definition; don't mutate the original definition.
-    var staticBinding = extend({}, defaults, definition);
-    overrideMethod(staticBinding, "find", function(superfunc) {
-      return function(scope) {
-        var results = superfunc(scope);
-        // Filter out Shiny outputs, we only want the static kind
-        return filterByClass(results, "html-widget-output", false);
-      };
-    });
-    window.HTMLWidgets.widgets.push(staticBinding);
-
-    if (shinyMode) {
-      // Shiny is running. Register the definition with an output binding.
-      // The definition itself will not be the output binding, instead
-      // we will make an output binding object that delegates to the
-      // definition. This is because we foolishly used the same method
-      // name (renderValue) for htmlwidgets definition and Shiny bindings
-      // but they actually have quite different semantics (the Shiny
-      // bindings receive data that includes lots of metadata that it
-      // strips off before calling htmlwidgets renderValue). We can't
-      // just ignore the difference because in some widgets it's helpful
-      // to call this.renderValue() from inside of resize(), and if
-      // we're not delegating, then that call will go to the Shiny
-      // version instead of the htmlwidgets version.
-
-      // Merge defaults with definition, without mutating either.
-      var bindingDef = extend({}, defaults, definition);
-
-      // This object will be our actual Shiny binding.
-      var shinyBinding = new Shiny.OutputBinding();
-
-      // With a few exceptions, we'll want to simply use the bindingDef's
-      // version of methods if they are available, otherwise fall back to
-      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
-      // methods in the future, and we want them to be overrideable by
-      // HTMLWidget binding definitions, then we'll need to add them to this
-      // list.
-      delegateMethod(shinyBinding, bindingDef, "getId");
-      delegateMethod(shinyBinding, bindingDef, "onValueChange");
-      delegateMethod(shinyBinding, bindingDef, "onValueError");
-      delegateMethod(shinyBinding, bindingDef, "renderError");
-      delegateMethod(shinyBinding, bindingDef, "clearError");
-      delegateMethod(shinyBinding, bindingDef, "showProgress");
-
-      // The find, renderValue, and resize are handled differently, because we
-      // want to actually decorate the behavior of the bindingDef methods.
-
-      shinyBinding.find = function(scope) {
-        var results = bindingDef.find(scope);
-
-        // Only return elements that are Shiny outputs, not static ones
-        var dynamicResults = results.filter(".html-widget-output");
-
-        // It's possible that whatever caused Shiny to think there might be
-        // new dynamic outputs, also caused there to be new static outputs.
-        // Since there might be lots of different htmlwidgets bindings, we
-        // schedule execution for later--no need to staticRender multiple
-        // times.
-        if (results.length !== dynamicResults.length)
-          scheduleStaticRender();
-
-        return dynamicResults;
-      };
-
-      // Wrap renderValue to handle initialization, which unfortunately isn't
-      // supported natively by Shiny at the time of this writing.
-
-      shinyBinding.renderValue = function(el, data) {
-        Shiny.renderDependencies(data.deps);
-        // Resolve strings marked as javascript literals to objects
-        if (!(data.evals instanceof Array)) data.evals = [data.evals];
-        for (var i = 0; data.evals && i < data.evals.length; i++) {
-          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
-        }
-        if (!bindingDef.renderOnNullValue) {
-          if (data.x === null) {
-            el.style.visibility = "hidden";
-            return;
-          } else {
-            el.style.visibility = "inherit";
-          }
-        }
-        if (!elementData(el, "initialized")) {
-          initSizing(el);
-
-          elementData(el, "initialized", true);
-          if (bindingDef.initialize) {
-            var rect = el.getBoundingClientRect();
-            var result = bindingDef.initialize(el, rect.width, rect.height);
-            elementData(el, "init_result", result);
-          }
-        }
-        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
-        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
-      };
-
-      // Only override resize if bindingDef implements it
-      if (bindingDef.resize) {
-        shinyBinding.resize = function(el, width, height) {
-          // Shiny can call resize before initialize/renderValue have been
-          // called, which doesn't make sense for widgets.
-          if (elementData(el, "initialized")) {
-            bindingDef.resize(el, width, height, elementData(el, "init_result"));
-          }
-        };
-      }
-
-      Shiny.outputBindings.register(shinyBinding, bindingDef.name);
-    }
-  };
-
-  var scheduleStaticRenderTimerId = null;
-  function scheduleStaticRender() {
-    if (!scheduleStaticRenderTimerId) {
-      scheduleStaticRenderTimerId = setTimeout(function() {
-        scheduleStaticRenderTimerId = null;
-        window.HTMLWidgets.staticRender();
-      }, 1);
-    }
-  }
-
-  // Render static widgets after the document finishes loading
-  // Statically render all elements that are of this widget's class
-  window.HTMLWidgets.staticRender = function() {
-    var bindings = window.HTMLWidgets.widgets || [];
-    forEach(bindings, function(binding) {
-      var matches = binding.find(document.documentElement);
-      forEach(matches, function(el) {
-        var sizeObj = initSizing(el, binding);
-
-        var getSize = function(el) {
-          if (sizeObj) {
-            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
-          } else {
-            var rect = el.getBoundingClientRect();
-            return {w: rect.width, h: rect.height}
-          }
-        };
-
-        if (hasClass(el, "html-widget-static-bound"))
-          return;
-        el.className = el.className + " html-widget-static-bound";
-
-        var initResult;
-        if (binding.initialize) {
-          var size = getSize(el);
-          initResult = binding.initialize(el, size.w, size.h);
-          elementData(el, "init_result", initResult);
-        }
-
-        if (binding.resize) {
-          var lastSize = getSize(el);
-          var resizeHandler = function(e) {
-            var size = getSize(el);
-            if (size.w === 0 && size.h === 0)
-              return;
-            if (size.w === lastSize.w && size.h === lastSize.h)
-              return;
-            lastSize = size;
-            binding.resize(el, size.w, size.h, initResult);
-          };
-
-          on(window, "resize", resizeHandler);
-
-          // This is needed for cases where we're running in a Shiny
-          // app, but the widget itself is not a Shiny output, but
-          // rather a simple static widget. One example of this is
-          // an rmarkdown document that has runtime:shiny and widget
-          // that isn't in a render function. Shiny only knows to
-          // call resize handlers for Shiny outputs, not for static
-          // widgets, so we do it ourselves.
-          if (window.jQuery) {
-            window.jQuery(document).on(
-              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
-              resizeHandler
-            );
-            window.jQuery(document).on(
-              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
-              resizeHandler
-            );
-          }
-
-          // This is needed for the specific case of ioslides, which
-          // flips slides between display:none and display:block.
-          // Ideally we would not have to have ioslide-specific code
-          // here, but rather have ioslides raise a generic event,
-          // but the rmarkdown package just went to CRAN so the
-          // window to getting that fixed may be long.
-          if (window.addEventListener) {
-            // It's OK to limit this to window.addEventListener
-            // browsers because ioslides itself only supports
-            // such browsers.
-            on(document, "slideenter", resizeHandler);
-            on(document, "slideleave", resizeHandler);
-          }
-        }
-
-        var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
-        if (scriptData) {
-          var data = JSON.parse(scriptData.textContent || scriptData.text);
-          // Resolve strings marked as javascript literals to objects
-          if (!(data.evals instanceof Array)) data.evals = [data.evals];
-          for (var k = 0; data.evals && k < data.evals.length; k++) {
-            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
-          }
-          binding.renderValue(el, data.x, initResult);
-          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
-        }
-      });
-    });
-
-    invokePostRenderHandlers();
-  }
-
-
-  function has_jQuery3() {
-    if (!window.jQuery) {
-      return false;
-    }
-    var $version = window.jQuery.fn.jquery;
-    var $major_version = parseInt($version.split(".")[0]);
-    return $major_version >= 3;
-  }
-
-  /*
-  / Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's
-  / on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now
-  / really means $(setTimeout(fn)).
-  / https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous
-  /
-  / Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny
-  / one tick later than it did before, which means staticRender() is
-  / called renderValue() earlier than (advanced) widget authors might be expecting.
-  / https://github.com/rstudio/shiny/issues/2630
-  /
-  / For a concrete example, leaflet has some methods (e.g., updateBounds)
-  / which reference Shiny methods registered in initShiny (e.g., setInputValue).
-  / Since leaflet is privy to this life-cycle, it knows to use setTimeout() to
-  / delay execution of those methods (until Shiny methods are ready)
-  / https://github.com/rstudio/leaflet/blob/18ec981/javascript/src/index.js#L266-L268
-  /
-  / Ideally widget authors wouldn't need to use this setTimeout() hack that
-  / leaflet uses to call Shiny methods on a staticRender(). In the long run,
-  / the logic initShiny should be broken up so that method registration happens
-  / right away, but binding happens later.
-  */
-  function maybeStaticRenderLater() {
-    if (shinyMode && has_jQuery3()) {
-      window.jQuery(window.HTMLWidgets.staticRender);
-    } else {
-      window.HTMLWidgets.staticRender();
-    }
-  }
-
-  if (document.addEventListener) {
-    document.addEventListener("DOMContentLoaded", function() {
-      document.removeEventListener("DOMContentLoaded", arguments.callee, false);
-      maybeStaticRenderLater();
-    }, false);
-  } else if (document.attachEvent) {
-    document.attachEvent("onreadystatechange", function() {
-      if (document.readyState === "complete") {
-        document.detachEvent("onreadystatechange", arguments.callee);
-        maybeStaticRenderLater();
-      }
-    });
-  }
-
-
-  window.HTMLWidgets.getAttachmentUrl = function(depname, key) {
-    // If no key, default to the first item
-    if (typeof(key) === "undefined")
-      key = 1;
-
-    var link = document.getElementById(depname + "-" + key + "-attachment");
-    if (!link) {
-      throw new Error("Attachment " + depname + "/" + key + " not found in document");
-    }
-    return link.getAttribute("href");
-  };
-
-  window.HTMLWidgets.dataframeToD3 = function(df) {
-    var names = [];
-    var length;
-    for (var name in df) {
-        if (df.hasOwnProperty(name))
-            names.push(name);
-        if (typeof(df[name]) !== "object" || typeof(df[name].length) === "undefined") {
-            throw new Error("All fields must be arrays");
-        } else if (typeof(length) !== "undefined" && length !== df[name].length) {
-            throw new Error("All fields must be arrays of the same length");
-        }
-        length = df[name].length;
-    }
-    var results = [];
-    var item;
-    for (var row = 0; row < length; row++) {
-        item = {};
-        for (var col = 0; col < names.length; col++) {
-            item[names[col]] = df[names[col]][row];
-        }
-        results.push(item);
-    }
-    return results;
-  };
-
-  window.HTMLWidgets.transposeArray2D = function(array) {
-      if (array.length === 0) return array;
-      var newArray = array[0].map(function(col, i) {
-          return array.map(function(row) {
-              return row[i]
-          })
-      });
-      return newArray;
-  };
-  // Split value at splitChar, but allow splitChar to be escaped
-  // using escapeChar. Any other characters escaped by escapeChar
-  // will be included as usual (including escapeChar itself).
-  function splitWithEscape(value, splitChar, escapeChar) {
-    var results = [];
-    var escapeMode = false;
-    var currentResult = "";
-    for (var pos = 0; pos < value.length; pos++) {
-      if (!escapeMode) {
-        if (value[pos] === splitChar) {
-          results.push(currentResult);
-          currentResult = "";
-        } else if (value[pos] === escapeChar) {
-          escapeMode = true;
-        } else {
-          currentResult += value[pos];
-        }
-      } else {
-        currentResult += value[pos];
-        escapeMode = false;
-      }
-    }
-    if (currentResult !== "") {
-      results.push(currentResult);
-    }
-    return results;
-  }
-  // Function authored by Yihui/JJ Allaire
-  window.HTMLWidgets.evaluateStringMember = function(o, member) {
-    var parts = splitWithEscape(member, '.', '\\');
-    for (var i = 0, l = parts.length; i < l; i++) {
-      var part = parts[i];
-      // part may be a character or 'numeric' member name
-      if (o !== null && typeof o === "object" && part in o) {
-        if (i == (l - 1)) { // if we are at the end of the line then evalulate
-          if (typeof o[part] === "string")
-            o[part] = tryEval(o[part]);
-        } else { // otherwise continue to next embedded object
-          o = o[part];
-        }
-      }
-    }
-  };
-
-  // Retrieve the HTMLWidget instance (i.e. the return value of an
-  // HTMLWidget binding's initialize() or factory() function)
-  // associated with an element, or null if none.
-  window.HTMLWidgets.getInstance = function(el) {
-    return elementData(el, "init_result");
-  };
-
-  // Finds the first element in the scope that matches the selector,
-  // and returns the HTMLWidget instance (i.e. the return value of
-  // an HTMLWidget binding's initialize() or factory() function)
-  // associated with that element, if any. If no element matches the
-  // selector, or the first matching element has no HTMLWidget
-  // instance associated with it, then null is returned.
-  //
-  // The scope argument is optional, and defaults to window.document.
-  window.HTMLWidgets.find = function(scope, selector) {
-    if (arguments.length == 1) {
-      selector = scope;
-      scope = document;
-    }
-
-    var el = scope.querySelector(selector);
-    if (el === null) {
-      return null;
-    } else {
-      return window.HTMLWidgets.getInstance(el);
-    }
-  };
-
-  // Finds all elements in the scope that match the selector, and
-  // returns the HTMLWidget instances (i.e. the return values of
-  // an HTMLWidget binding's initialize() or factory() function)
-  // associated with the elements, in an array. If elements that
-  // match the selector don't have an associated HTMLWidget
-  // instance, the returned array will contain nulls.
-  //
-  // The scope argument is optional, and defaults to window.document.
-  window.HTMLWidgets.findAll = function(scope, selector) {
-    if (arguments.length == 1) {
-      selector = scope;
-      scope = document;
-    }
-
-    var nodes = scope.querySelectorAll(selector);
-    var results = [];
-    for (var i = 0; i < nodes.length; i++) {
-      results.push(window.HTMLWidgets.getInstance(nodes[i]));
-    }
-    return results;
-  };
-
-  var postRenderHandlers = [];
-  function invokePostRenderHandlers() {
-    while (postRenderHandlers.length) {
-      var handler = postRenderHandlers.shift();
-      if (handler) {
-        handler();
-      }
-    }
-  }
-
-  // Register the given callback function to be invoked after the
-  // next time static widgets are rendered.
-  window.HTMLWidgets.addPostRenderHandler = function(callback) {
-    postRenderHandlers.push(callback);
-  };
-
-  // Takes a new-style instance-bound definition, and returns an
-  // old-style class-bound definition. This saves us from having
-  // to rewrite all the logic in this file to accomodate both
-  // types of definitions.
-  function createLegacyDefinitionAdapter(defn) {
-    var result = {
-      name: defn.name,
-      type: defn.type,
-      initialize: function(el, width, height) {
-        return defn.factory(el, width, height);
-      },
-      renderValue: function(el, x, instance) {
-        return instance.renderValue(x);
-      },
-      resize: function(el, width, height, instance) {
-        return instance.resize(width, height);
-      }
-    };
-
-    if (defn.find)
-      result.find = defn.find;
-    if (defn.renderError)
-      result.renderError = defn.renderError;
-    if (defn.clearError)
-      result.clearError = defn.clearError;
-
-    return result;
-  }
-})();
-</script>
-<style type="text/css">.dt-crosstalk-fade {
-opacity: 0.2;
-}
-html body div.DTS div.dataTables_scrollBody {
-background: none;
-}
-
-table.dataTable {
-display: table;
-}
-
-.html-fill-container > .html-fill-item.datatables {
-flex-basis: 400px;
-}
-</style>
-<script>(function() {
-
-// some helper functions: using a global object DTWidget so that it can be used
-// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's
-// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects
-// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made
-// a global object
-var DTWidget = {};
-
-// 123456666.7890 -> 123,456,666.7890
-var markInterval = function(d, digits, interval, mark, decMark, precision) {
-  x = precision ? d.toPrecision(digits) : d.toFixed(digits);
-  if (!/^-?[\d.]+$/.test(x)) return x;
-  var xv = x.split('.');
-  if (xv.length > 2) return x;  // should have at most one decimal point
-  xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark);
-  return xv.join(decMark);
-};
-
-DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  var res = markInterval(d, digits, interval, mark, decMark);
-  res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) :
-    res + currency;
-  return res;
-};
-
-DTWidget.formatString = function(data, prefix, suffix) {
-  var d = data;
-  if (d === null) return '';
-  return prefix + d + suffix;
-};
-
-DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d * 100, digits, interval, mark, decMark) + '%';
-};
-
-DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d, digits, interval, mark, decMark);
-};
-
-DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d, digits, interval, mark, decMark, true);
-};
-
-DTWidget.formatDate = function(data, method, params) {
-  var d = data;
-  if (d === null) return '';
-  // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the
-  // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)',
-  // i.e. the date-only string is treated as UTC time instead of local time
-  if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) {
-    d = d.split(/\D/);
-    d = new Date(d[0], d[1] - 1, d[2]);
-  } else {
-    d = new Date(d);
-  }
-  return d[method].apply(d, params);
-};
-
-window.DTWidget = DTWidget;
-
-// A helper function to update the properties of existing filters
-var setFilterProps = function(td, props) {
-  // Update enabled/disabled state
-  var $input = $(td).find('input').first();
-  var searchable = $input.data('searchable');
-  $input.prop('disabled', !searchable || props.disabled);
-
-  // Based on the filter type, set its new values
-  var type = td.getAttribute('data-type');
-  if (['factor', 'logical'].includes(type)) {
-    // Reformat the new dropdown options for use with selectize
-    var new_vals = props.params.options.map(function(item) {
-      return { text: item, value: item };
-    });
-
-    // Find the selectize object
-    var dropdown = $(td).find('.selectized').eq(0)[0].selectize;
-
-    // Note the current values
-    var old_vals = dropdown.getValue();
-
-    // Remove the existing values
-    dropdown.clearOptions();
-
-    // Add the new options
-    dropdown.addOption(new_vals);
-
-    // Preserve the existing values
-    dropdown.setValue(old_vals);
-
-  } else if (['number', 'integer', 'date', 'time'].includes(type)) {
-    // Apply internal scaling to new limits. Updating scale not yet implemented.
-    var slider = $(td).find('.noUi-target').eq(0);
-    var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0));
-    var new_vals = [props.params.min * scale, props.params.max * scale];
-
-    // Note what the new limits will be just for this filter
-    var new_lims = new_vals.slice();
-
-    // Determine the current values and limits
-    var old_vals = slider.val().map(Number);
-    var old_lims = slider.noUiSlider('options').range;
-    old_lims = [old_lims.min, old_lims.max];
-
-    // Preserve the current values if filters have been applied; otherwise, apply no filtering
-    if (old_vals[0] != old_lims[0]) {
-      new_vals[0] = Math.max(old_vals[0], new_vals[0]);
-    }
-
-    if (old_vals[1] != old_lims[1]) {
-      new_vals[1] = Math.min(old_vals[1], new_vals[1]);
-    }
-
-    // Update the endpoints of the slider
-    slider.noUiSlider({
-      start: new_vals,
-      range: {'min': new_lims[0], 'max': new_lims[1]}
-    }, true);
-  }
-};
-
-var transposeArray2D = function(a) {
-  return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a);
-};
-
-var crosstalkPluginsInstalled = false;
-
-function maybeInstallCrosstalkPlugins() {
-  if (crosstalkPluginsInstalled)
-    return;
-  crosstalkPluginsInstalled = true;
-
-  $.fn.dataTable.ext.afnFiltering.push(
-    function(oSettings, aData, iDataIndex) {
-      var ctfilter = oSettings.nTable.ctfilter;
-      if (ctfilter && !ctfilter[iDataIndex])
-        return false;
-
-      var ctselect = oSettings.nTable.ctselect;
-      if (ctselect && !ctselect[iDataIndex])
-        return false;
-
-      return true;
-    }
-  );
-}
-
-HTMLWidgets.widget({
-  name: "datatables",
-  type: "output",
-  renderOnNullValue: true,
-  initialize: function(el, width, height) {
-    // in order that the type=number inputs return a number
-    $.valHooks.number = {
-      get: function(el) {
-        var value = parseFloat(el.value);
-        return isNaN(value) ? "" : value;
-      }
-    };
-    $(el).html('&nbsp;');
-    return {
-      data: null,
-      ctfilterHandle: new crosstalk.FilterHandle(),
-      ctfilterSubscription: null,
-      ctselectHandle: new crosstalk.SelectionHandle(),
-      ctselectSubscription: null
-    };
-  },
-  renderValue: function(el, data, instance) {
-    if (el.offsetWidth === 0 || el.offsetHeight === 0) {
-      instance.data = data;
-      return;
-    }
-    instance.data = null;
-    var $el = $(el);
-    $el.empty();
-
-    if (data === null) {
-      $el.append('&nbsp;');
-      // clear previous Shiny inputs (if any)
-      for (var i in instance.clearInputs) instance.clearInputs[i]();
-      instance.clearInputs = {};
-      return;
-    }
-
-    var crosstalkOptions = data.crosstalkOptions;
-    if (!crosstalkOptions) crosstalkOptions = {
-      'key': null, 'group': null
-    };
-    if (crosstalkOptions.group) {
-      maybeInstallCrosstalkPlugins();
-      instance.ctfilterHandle.setGroup(crosstalkOptions.group);
-      instance.ctselectHandle.setGroup(crosstalkOptions.group);
-    }
-
-    // if we are in the viewer then we always want to fillContainer and
-    // and autoHideNavigation (unless the user has explicitly set these)
-    if (window.HTMLWidgets.viewerMode) {
-      if (!data.hasOwnProperty("fillContainer"))
-        data.fillContainer = true;
-      if (!data.hasOwnProperty("autoHideNavigation"))
-        data.autoHideNavigation = true;
-    }
-
-    // propagate fillContainer to instance (so we have it in resize)
-    instance.fillContainer = data.fillContainer;
-
-    var cells = data.data;
-
-    if (cells instanceof Array) cells = transposeArray2D(cells);
-
-    $el.append(data.container);
-    var $table = $el.find('table');
-    if (data.class) $table.addClass(data.class);
-    if (data.caption) $table.prepend(data.caption);
-
-    if (!data.selection) data.selection = {
-      mode: 'none', selected: null, target: 'row', selectable: null
-    };
-    if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' &&
-        data.selection.target === 'row+column') {
-      if ($table.children('tfoot').length === 0) {
-        $table.append($('<tfoot>'));
-        $table.find('thead tr').clone().appendTo($table.find('tfoot'));
-      }
-    }
-
-    // column filters
-    var filterRow;
-    switch (data.filter) {
-      case 'top':
-        $table.children('thead').append(data.filterHTML);
-        filterRow = $table.find('thead tr:last td');
-        break;
-      case 'bottom':
-        if ($table.children('tfoot').length === 0) {
-          $table.append($('<tfoot>'));
-        }
-        $table.children('tfoot').prepend(data.filterHTML);
-        filterRow = $table.find('tfoot tr:first td');
-        break;
-    }
-
-    var options = { searchDelay: 1000 };
-    if (cells !== null) $.extend(options, {
-      data: cells
-    });
-
-    // options for fillContainer
-    var bootstrapActive = typeof($.fn.popover) != 'undefined';
-    if (instance.fillContainer) {
-
-      // force scrollX/scrollY and turn off autoWidth
-      options.scrollX = true;
-      options.scrollY = "100px"; // can be any value, we'll adjust below
-
-      // if we aren't paginating then move around the info/filter controls
-      // to save space at the bottom and rephrase the info callback
-      if (data.options.paging === false) {
-
-        // we know how to do this cleanly for bootstrap, not so much
-        // for other themes/layouts
-        if (bootstrapActive) {
-          options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" +
-                        "<'row'<'col-sm-12'tr>>";
-        }
-
-        options.fnInfoCallback = function(oSettings, iStart, iEnd,
-                                           iMax, iTotal, sPre) {
-          return Number(iTotal).toLocaleString() + " records";
-        };
-      }
-    }
-
-    // auto hide navigation if requested
-    // Note, this only works on client-side processing mode as on server-side,
-    // cells (data.data) is null; In addition, we require the pageLength option
-    // being provided explicitly to enable this. Despite we may be able to deduce
-    // the default value of pageLength, it may complicate things so we'd rather
-    // put this responsiblity to users and warn them on the R side.
-    if (data.autoHideNavigation === true && data.options.paging !== false) {
-      // strip all nav if length >= cells
-      if ((cells instanceof Array) && data.options.pageLength >= cells.length)
-        options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t";
-      // alternatively lean things out for flexdashboard mobile portrait
-      else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone())
-        options.dom = "<'row'<'col-sm-12'f>>" +
-                      "<'row'<'col-sm-12'tr>>"  +
-                      "<'row'<'col-sm-12'p>>";
-    }
-
-    $.extend(true, options, data.options || {});
-
-    var searchCols = options.searchCols;
-    if (searchCols) {
-      searchCols = searchCols.map(function(x) {
-        return x === null ? '' : x.search;
-      });
-      // FIXME: this means I don't respect the escapeRegex setting
-      delete options.searchCols;
-    }
-
-    // server-side processing?
-    var server = options.serverSide === true;
-
-    // use the dataSrc function to pre-process JSON data returned from R
-    var DT_rows_all = [], DT_rows_current = [];
-    if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' &&
-        /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) {
-      options.ajax.dataSrc = function(json) {
-        DT_rows_all = $.makeArray(json.DT_rows_all);
-        DT_rows_current = $.makeArray(json.DT_rows_current);
-        var data = json.data;
-        if (!colReorderEnabled()) return data;
-        var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row;
-        for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false;
-        if (flag) return data;
-        for (i = 0; i < data.length; ++i) {
-          row = data[i].slice();
-          for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]];
-        }
-        return data;
-      };
-    }
-
-    var thiz = this;
-    if (instance.fillContainer) $table.on('init.dt', function(e) {
-      thiz.fillAvailableHeight(el, $(el).innerHeight());
-    });
-    // If the page contains serveral datatables and one of which enables colReorder,
-    // the table.colReorder.order() function will exist but throws error when called.
-    // So it seems like the only way to know if colReorder is enabled or not is to
-    // check the options.
-    var colReorderEnabled = function() { return "colReorder" in options; };
-    var table = $table.DataTable(options);
-    $el.data('datatable', table);
-
-    if ('rowGroup' in options) {
-      // Maintain RowGroup dataSrc when columns are reordered (#1109)
-      table.on('column-reorder', function(e, settings, details) {
-        var oldDataSrc = table.rowGroup().dataSrc();
-        var newDataSrc = details.mapping[oldDataSrc];
-        table.rowGroup().dataSrc(newDataSrc);
-      });
-    }
-
-    // Unregister previous Crosstalk event subscriptions, if they exist
-    if (instance.ctfilterSubscription) {
-      instance.ctfilterHandle.off("change", instance.ctfilterSubscription);
-      instance.ctfilterSubscription = null;
-    }
-    if (instance.ctselectSubscription) {
-      instance.ctselectHandle.off("change", instance.ctselectSubscription);
-      instance.ctselectSubscription = null;
-    }
-
-    if (!crosstalkOptions.group) {
-      $table[0].ctfilter = null;
-      $table[0].ctselect = null;
-    } else {
-      var key = crosstalkOptions.key;
-      function keysToMatches(keys) {
-        if (!keys) {
-          return null;
-        } else {
-          var selectedKeys = {};
-          for (var i = 0; i < keys.length; i++) {
-            selectedKeys[keys[i]] = true;
-          }
-          var matches = {};
-          for (var j = 0; j < key.length; j++) {
-            if (selectedKeys[key[j]])
-              matches[j] = true;
-          }
-          return matches;
-        }
-      }
-
-      function applyCrosstalkFilter(e) {
-        $table[0].ctfilter = keysToMatches(e.value);
-        table.draw();
-      }
-      instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter);
-      applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys});
-
-      function applyCrosstalkSelection(e) {
-        if (e.sender !== instance.ctselectHandle) {
-          table
-            .rows('.' + selClass, {search: 'applied'})
-            .nodes()
-            .to$()
-            .removeClass(selClass);
-          if (selectedRows)
-            changeInput('rows_selected', selectedRows(), void 0, true);
-        }
-
-        if (e.sender !== instance.ctselectHandle && e.value && e.value.length) {
-          var matches = keysToMatches(e.value);
-
-          // persistent selection with plotly (& leaflet)
-          var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {};
-          if (ctOpts.persistent === true) {
-            var matches = $.extend(matches, $table[0].ctselect);
-          }
-
-          $table[0].ctselect = matches;
-          table.draw();
-        } else {
-          if ($table[0].ctselect) {
-            $table[0].ctselect = null;
-            table.draw();
-          }
-        }
-      }
-      instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection);
-      // TODO: This next line doesn't seem to work when renderDataTable is used
-      applyCrosstalkSelection({value: instance.ctselectHandle.value});
-    }
-
-    var inArray = function(val, array) {
-      return $.inArray(val, $.makeArray(array)) > -1;
-    };
-
-    // search the i-th column
-    var searchColumn = function(i, value) {
-      var regex = false, ci = true;
-      if (options.search) {
-        regex = options.search.regex,
-        ci = options.search.caseInsensitive !== false;
-      }
-      // need to transpose the column index when colReorder is enabled
-      if (table.colReorder) i = table.colReorder.transpose(i);
-      return table.column(i).search(value, regex, !regex, ci);
-    };
-
-    if (data.filter !== 'none') {
-      if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {};
-
-      filterRow.each(function(i, td) {
-
-        var $td = $(td), type = $td.data('type'), filter;
-        var $input = $td.children('div').first().children('input');
-        var disabled = $input.prop('disabled');
-        var searchable = table.settings()[0].aoColumns[i].bSearchable;
-        $input.prop('disabled', !searchable || disabled);
-        $input.data('searchable', searchable); // for updating later
-        $input.on('input blur', function() {
-          $input.next('span').toggle(Boolean($input.val()));
-        });
-        // Bootstrap sets pointer-events to none and we won't be able to click
-        // the clear button
-        $input.next('span').css('pointer-events', 'auto').hide().click(function() {
-          $(this).hide().prev('input').val('').trigger('input').focus();
-        });
-        var searchCol;  // search string for this column
-        if (searchCols && searchCols[i]) {
-          searchCol = searchCols[i];
-          $input.val(searchCol).trigger('input');
-        }
-        var $x = $td.children('div').last();
-
-        // remove the overflow: hidden attribute of the scrollHead
-        // (otherwise the scrolling table body obscures the filters)
-        // The workaround and the discussion from
-        // https://github.com/rstudio/DT/issues/554#issuecomment-518007347
-        // Otherwise the filter selection will not be anchored to the values
-        // when the columns number is many and scrollX is enabled.
-        var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot');
-        var cssOverflowHead = scrollHead.css('overflow');
-        var scrollBody = $(el).find('.dataTables_scrollBody');
-        var cssOverflowBody = scrollBody.css('overflow');
-        var scrollTable = $(el).find('.dataTables_scroll');
-        var cssOverflowTable = scrollTable.css('overflow');
-        if (cssOverflowHead === 'hidden') {
-          $x.on('show hide', function(e) {
-            if (e.type === 'show') {
-              scrollHead.css('overflow', 'visible');
-              scrollBody.css('overflow', 'visible');
-              scrollTable.css('overflow-x', 'scroll');
-            } else {
-              scrollHead.css('overflow', cssOverflowHead);
-              scrollBody.css('overflow', cssOverflowBody);
-              scrollTable.css('overflow-x', cssOverflowTable);
-            }
-          });
-          $x.css('z-index', 25);
-        }
-
-        if (inArray(type, ['factor', 'logical'])) {
-          $input.on({
-            click: function() {
-              $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus();
-            },
-            input: function() {
-              var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val();
-              if (v1 === '[]') v1 = '';
-              if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2));
-            }
-          });
-          var $input2 = $x.children('select');
-          filter = $input2.selectize($.extend({
-            options: $input2.data('options').map(function(v, i) {
-              return ({text: v, value: v});
-            }),
-            plugins: ['remove_button'],
-            hideSelected: true,
-            onChange: function(value) {
-              if (value === null) value = []; // compatibility with jQuery 3.0
-              $input.val(value.length ? JSON.stringify(value) : '');
-              if (value.length) $input.trigger('input');
-              $input.attr('title', $input.val());
-              if (server) {
-                searchColumn(i, value.length ? JSON.stringify(value) : '').draw();
-                return;
-              }
-              // turn off filter if nothing selected
-              $td.data('filter', value.length > 0);
-              table.draw();  // redraw table, and filters will be applied
-            }
-          }, data.filterSettings.select));
-          filter[0].selectize.on('blur', function() {
-            $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur');
-          });
-          filter.next('div').css('margin-bottom', 'auto');
-        } else if (type === 'character') {
-          var fun = function() {
-            searchColumn(i, $input.val()).draw();
-          };
-          // throttle searching for server-side processing
-          var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay);
-          $input.on('input', function(e, immediate) {
-            // always bypass throttling when immediate = true (via the updateSearch method)
-            (immediate || !server) ? fun() : throttledFun();
-          });
-        } else if (inArray(type, ['number', 'integer', 'date', 'time'])) {
-          var $x0 = $x;
-          $x = $x0.children('div').first();
-          $x0.css({
-            'background-color': '#fff',
-            'border': '1px #ddd solid',
-            'border-radius': '4px',
-            'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px'
-          });
-          var $spans = $x0.children('span').css({
-            'margin-top': data.vertical ? '0' : '10px',
-            'white-space': 'nowrap'
-          });
-          var $span1 = $spans.first(), $span2 = $spans.last();
-          var r1 = +$x.data('min'), r2 = +$x.data('max');
-          // when the numbers are too small or have many decimal places, the
-          // slider may have numeric precision problems (#150)
-          var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0));
-          r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale);
-          var scaleBack = function(x, scale) {
-            if (scale === 1) return x;
-            var d = Math.round(Math.log(scale) / Math.log(10));
-            // to avoid problems like 3.423/100 -> 0.034230000000000003
-            return (x / scale).toFixed(d);
-          };
-          var slider_min = function() {
-            return filter.noUiSlider('options').range.min;
-          };
-          var slider_max = function() {
-            return filter.noUiSlider('options').range.max;
-          };
-          $input.on({
-            focus: function() {
-              $x0.show().trigger('show');
-              // first, make sure the slider div leaves at least 20px between
-              // the two (slider value) span's
-              $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20));
-              // then, if the input is really wide or slider is vertical,
-              // make the slider the same width as the input
-              if ($x0.outerWidth() < $input.outerWidth() || data.vertical) {
-                $x0.outerWidth($input.outerWidth());
-              }
-              // make sure the slider div does not reach beyond the right margin
-              if ($(window).width() < $x0.offset().left + $x0.width()) {
-                $x0.offset({
-                  'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth()
-                });
-              }
-            },
-            blur: function() {
-              $x0.hide().trigger('hide');
-            },
-            input: function() {
-              if ($input.val() === '') filter.val([slider_min(), slider_max()]);
-            },
-            change: function() {
-              var v = $input.val().replace(/\s/g, '');
-              if (v === '') return;
-              v = v.split('...');
-              if (v.length !== 2) {
-                $input.parent().addClass('has-error');
-                return;
-              }
-              if (v[0] === '') v[0] = slider_min();
-              if (v[1] === '') v[1] = slider_max();
-              $input.parent().removeClass('has-error');
-              // treat date as UTC time at midnight
-              var strTime = function(x) {
-                var s = type === 'date' ? 'T00:00:00Z' : '';
-                var t = new Date(x + s).getTime();
-                // add 10 minutes to date since it does not hurt the date, and
-                // it helps avoid the tricky floating point arithmetic problems,
-                // e.g. sometimes the date may be a few milliseconds earlier
-                // than the midnight due to precision problems in noUiSlider
-                return type === 'date' ? t + 3600000 : t;
-              };
-              if (inArray(type, ['date', 'time'])) {
-                v[0] = strTime(v[0]);
-                v[1] = strTime(v[1]);
-              }
-              if (v[0] != slider_min()) v[0] *= scale;
-              if (v[1] != slider_max()) v[1] *= scale;
-              filter.val(v);
-            }
-          });
-          var formatDate = function(d) {
-            d = scaleBack(d, scale);
-            if (type === 'number') return d;
-            if (type === 'integer') return parseInt(d);
-            var x = new Date(+d);
-            if (type === 'date') {
-              var pad0 = function(x) {
-                return ('0' + x).substr(-2, 2);
-              };
-              return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth())
-                      + '-' + pad0(x.getUTCDate());
-            } else {
-              return x.toISOString();
-            }
-          };
-          var opts = type === 'date' ? { step: 60 * 60 * 1000 } :
-                     type === 'integer' ? { step: 1 } : {};
-
-          opts.orientation = data.vertical ? 'vertical': 'horizontal';
-          opts.direction = data.vertical ? 'rtl': 'ltr';
-
-          filter = $x.noUiSlider($.extend({
-            start: [r1, r2],
-            range: {min: r1, max: r2},
-            connect: true
-          }, opts, data.filterSettings.slider));
-          if (scale > 1) (function() {
-            var t1 = r1, t2 = r2;
-            var val = filter.val();
-            while (val[0] > r1 || val[1] < r2) {
-              if (val[0] > r1) {
-                t1 -= val[0] - r1;
-              }
-              if (val[1] < r2) {
-                t2 += r2 - val[1];
-              }
-              filter = $x.noUiSlider($.extend({
-                start: [t1, t2],
-                range: {min: t1, max: t2},
-                connect: true
-              }, opts, data.filterSettings.slider), true);
-              val = filter.val();
-            }
-            r1  = t1; r2 = t2;
-          })();
-          // format with active column renderer, if defined
-          var colDef = data.options.columnDefs.find(function(def) {
-            return (def.targets === i || inArray(i, def.targets)) && 'render' in def;
-          });
-          var updateSliderText = function(v1, v2) {
-            // we only know how to use function renderers
-            if (colDef && typeof colDef.render === 'function') {
-              var restore = function(v) {
-                v = scaleBack(v, scale);
-                return inArray(type, ['date', 'time']) ? new Date(+v) : v;
-              }
-              $span1.text(colDef.render(restore(v1), 'display'));
-              $span2.text(colDef.render(restore(v2), 'display'));
-            } else {
-              $span1.text(formatDate(v1));
-              $span2.text(formatDate(v2));
-            }
-          };
-          updateSliderText(r1, r2);
-          var updateSlider = function(e) {
-            var val = filter.val();
-            // turn off filter if in full range
-            $td.data('filter', val[0] > slider_min() || val[1] < slider_max());
-            var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival;
-            if ($td.data('filter')) {
-              ival = v1 + ' ... ' + v2;
-              $input.attr('title', ival).val(ival).trigger('input');
-            } else {
-              $input.attr('title', '').val('');
-            }
-            updateSliderText(val[0], val[1]);
-            if (e.type === 'slide') return;  // no searching when sliding only
-            if (server) {
-              searchColumn(i, $td.data('filter') ? ival : '').draw();
-              return;
-            }
-            table.draw();
-          };
-          filter.on({
-            set: updateSlider,
-            slide: updateSlider
-          });
-        }
-
-        // server-side processing will be handled by R (or whatever server
-        // language you use); the following code is only needed for client-side
-        // processing
-        if (server) {
-          // if a search string has been pre-set, search now
-          if (searchCol) $input.trigger('input').trigger('change');
-          return;
-        }
-
-        var customFilter = function(settings, data, dataIndex) {
-          // there is no way to attach a search function to a specific table,
-          // and we need to make sure a global search function is not applied to
-          // all tables (i.e. a range filter in a previous table should not be
-          // applied to the current table); we use the settings object to
-          // determine if we want to perform searching on the current table,
-          // since settings.sTableId will be different to different tables
-          if (table.settings()[0] !== settings) return true;
-          // no filter on this column or no need to filter this column
-          if (typeof filter === 'undefined' || !$td.data('filter')) return true;
-
-          var r = filter.val(), v, r0, r1;
-          var i_data = function(i) {
-            if (!colReorderEnabled()) return i;
-            var order = table.colReorder.order(), k;
-            for (k = 0; k < order.length; ++k) if (order[k] === i) return k;
-            return i; // in theory it will never be here...
-          }
-          v = data[i_data(i)];
-          if (type === 'number' || type === 'integer') {
-            v = parseFloat(v);
-            // how to handle NaN? currently exclude these rows
-            if (isNaN(v)) return(false);
-            r0 = parseFloat(scaleBack(r[0], scale))
-            r1 = parseFloat(scaleBack(r[1], scale));
-            if (v >= r0 && v <= r1) return true;
-          } else if (type === 'date' || type === 'time') {
-            v = new Date(v);
-            r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale);
-            if (v >= r0 && v <= r1) return true;
-          } else if (type === 'factor') {
-            if (r.length === 0 || inArray(v, r)) return true;
-          } else if (type === 'logical') {
-            if (r.length === 0) return true;
-            if (inArray(v === '' ? 'na' : v, r)) return true;
-          }
-          return false;
-        };
-
-        $.fn.dataTable.ext.search.push(customFilter);
-
-        // search for the preset search strings if it is non-empty
-        if (searchCol) $input.trigger('input').trigger('change');
-
-      });
-
-    }
-
-    // highlight search keywords
-    var highlight = function() {
-      var body = $(table.table().body());
-      // removing the old highlighting first
-      body.unhighlight();
-
-      // don't highlight the "not found" row, so we get the rows using the api
-      if (table.rows({ filter: 'applied' }).data().length === 0) return;
-      // highlight global search keywords
-      body.highlight($.trim(table.search()).split(/\s+/));
-      // then highlight keywords from individual column filters
-      if (filterRow) filterRow.each(function(i, td) {
-        var $td = $(td), type = $td.data('type');
-        if (type !== 'character') return;
-        var $input = $td.children('div').first().children('input');
-        var column = table.column(i).nodes().to$(),
-            val = $.trim($input.val());
-        if (type !== 'character' || val === '') return;
-        column.highlight(val.split(/\s+/));
-      });
-    };
-
-    if (options.searchHighlight) {
-      table
-      .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight)
-      .on('destroy', function() {
-        // remove event handler
-        table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth');
-      });
-
-      // Set the option for escaping regex characters in our search string.  This will be used
-      // for all future matching.
-      jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex);
-
-      // initial highlight for state saved conditions and initial states
-      highlight();
-    }
-
-    // run the callback function on the table instance
-    if (typeof data.callback === 'function') data.callback(table);
-
-    // double click to edit the cell, row, column, or all cells
-    if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) {
-      // only bring up the editor when the cell itself is dbclicked, and ignore
-      // other dbclick events bubbled up (e.g. from the <input>)
-      if (e.target !== this) return;
-      var target = [], immediate = false;
-      switch (data.editable.target) {
-        case 'cell':
-          target = [this];
-          immediate = true;  // edit will take effect immediately
-          break;
-        case 'row':
-          target = table.cells(table.cell(this).index().row, '*').nodes();
-          break;
-        case 'column':
-          target = table.cells('*', table.cell(this).index().column).nodes();
-          break;
-        case 'all':
-          target = table.cells().nodes();
-          break;
-        default:
-          throw 'The editable parameter must be "cell", "row", "column", or "all"';
-      }
-      var disableCols = data.editable.disable ? data.editable.disable.columns : null;
-      var numericCols = data.editable.numeric;
-      var areaCols = data.editable.area;
-      var dateCols = data.editable.date;
-      for (var i = 0; i < target.length; i++) {
-        (function(cell, current) {
-          var $cell = $(cell), html = $cell.html();
-          var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column;
-          var $input;
-          if (inArray(index, numericCols)) {
-            $input = $('<input type="number">');
-          } else if (inArray(index, areaCols)) {
-            $input = $('<textarea></textarea>');
-          } else if (inArray(index, dateCols)) {
-            $input = $('<input type="date">');
-          } else {
-            $input = $('<input type="text">');
-          }
-          if (!immediate) {
-            $cell.data('input', $input).data('html', html);
-            $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel');
-          }
-          $input.val(value);
-          if (inArray(index, disableCols)) {
-            $input.attr('readonly', '').css('filter', 'invert(25%)');
-          }
-          $cell.empty().append($input);
-          if (cell === current) $input.focus();
-          $input.css('width', '100%');
-
-          if (immediate) $input.on('blur', function(e) {
-            var valueNew = $input.val();
-            if (valueNew !== value) {
-              _cell.data(valueNew);
-              if (HTMLWidgets.shinyMode) {
-                changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'});
-              }
-              // for server-side processing, users have to call replaceData() to update the table
-              if (!server) table.draw(false);
-            } else {
-              $cell.html(html);
-            }
-          }).on('keyup', function(e) {
-            // hit Escape to cancel editing
-            if (e.keyCode === 27) $input.trigger('blur');
-          });
-
-          // bulk edit (row, column, or all)
-          if (!immediate) $input.on('keyup', function(e) {
-            var removeInput = function($cell, restore) {
-              $cell.data('input').remove();
-              if (restore) $cell.html($cell.data('html'));
-            }
-            if (e.keyCode === 27) {
-              for (var i = 0; i < target.length; i++) {
-                removeInput($(target[i]), true);
-              }
-            } else if (e.keyCode === 13 && e.ctrlKey) {
-              // Ctrl + Enter
-              var cell, $cell, _cell, cellData = [];
-              for (var i = 0; i < target.length; i++) {
-                cell = target[i]; $cell = $(cell); _cell = table.cell(cell);
-                _cell.data($cell.data('input').val());
-                HTMLWidgets.shinyMode && cellData.push(cellInfo(cell));
-                removeInput($cell, false);
-              }
-              if (HTMLWidgets.shinyMode) {
-                changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"});
-              }
-              if (!server) table.draw(false);
-            }
-          });
-        })(target[i], this);
-      }
-    });
-
-    // interaction with shiny
-    if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return;
-
-    var methods = {};
-    var shinyData = {};
-
-    methods.updateCaption = function(caption) {
-      if (!caption) return;
-      $table.children('caption').replaceWith(caption);
-    }
-
-    // register clear functions to remove input values when the table is removed
-    instance.clearInputs = {};
-
-    var changeInput = function(id, value, type, noCrosstalk, opts) {
-      var event = id;
-      id = el.id + '_' + id;
-      if (type) id = id + ':' + type;
-      // do not update if the new value is the same as old value
-      if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value))
-        return;
-      shinyData[id] = JSON.stringify(value);
-      if (HTMLWidgets.shinyMode && Shiny.setInputValue) {
-        Shiny.setInputValue(id, value, opts);
-        if (!instance.clearInputs[id]) instance.clearInputs[id] = function() {
-          Shiny.setInputValue(id, null);
-        }
-      }
-
-      // HACK
-      if (event === "rows_selected" && !noCrosstalk) {
-        if (crosstalkOptions.group) {
-          var keys = crosstalkOptions.key;
-          var selectedKeys = null;
-          if (value) {
-            selectedKeys = [];
-            for (var i = 0; i < value.length; i++) {
-              // The value array's contents use 1-based row numbers, so we must
-              // convert to 0-based before indexing into the keys array.
-              selectedKeys.push(keys[value[i] - 1]);
-            }
-          }
-          instance.ctselectHandle.set(selectedKeys);
-        }
-      }
-    };
-
-    var addOne = function(x) {
-      return x.map(function(i) { return 1 + i; });
-    };
-
-    var unique = function(x) {
-      var ux = [];
-      $.each(x, function(i, el){
-        if ($.inArray(el, ux) === -1) ux.push(el);
-      });
-      return ux;
-    }
-
-    // change the row index of a cell
-    var tweakCellIndex = function(cell) {
-      var info = cell.index();
-      // some cell may not be valid. e.g, #759
-      // when using the RowGroup extension, datatables will
-      // generate the row label and the cells are not part of
-      // the data thus contain no row/col info
-      if (info === undefined)
-        return {row: null, col: null};
-      if (server) {
-        info.row = DT_rows_current[info.row];
-      } else {
-        info.row += 1;
-      }
-      return {row: info.row, col: info.column};
-    }
-
-    var cleanSelectedValues = function() {
-      changeInput('rows_selected', []);
-      changeInput('columns_selected', []);
-      changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix');
-    }
-    // #828 we should clean the selection on the server-side when the table reloads
-    cleanSelectedValues();
-
-    // a flag to indicates if select extension is initialized or not
-    var flagSelectExt = table.settings()[0]._select !== undefined;
-    // the Select extension should only be used in the client mode and
-    // when the selection.mode is set to none
-    if (data.selection.mode === 'none' && !server && flagSelectExt) {
-      var updateRowsSelected = function() {
-        var rows = table.rows({selected: true});
-        var selected = [];
-        $.each(rows.indexes().toArray(), function(i, v) {
-          selected.push(v + 1);
-        });
-        changeInput('rows_selected', selected);
-      }
-      var updateColsSelected = function() {
-        var columns = table.columns({selected: true});
-        changeInput('columns_selected', columns.indexes().toArray());
-      }
-      var updateCellsSelected = function() {
-        var cells = table.cells({selected: true});
-        var selected = [];
-        cells.every(function() {
-          var row = this.index().row;
-          var col = this.index().column;
-          selected = selected.concat([[row + 1, col]]);
-        });
-        changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix');
-      }
-      table.on('select deselect', function(e, dt, type, indexes) {
-        updateRowsSelected();
-        updateColsSelected();
-        updateCellsSelected();
-      })
-      updateRowsSelected();
-      updateColsSelected();
-      updateCellsSelected();
-    }
-
-    var selMode = data.selection.mode, selTarget = data.selection.target;
-    var selDisable = data.selection.selectable === false;
-    if (inArray(selMode, ['single', 'multiple'])) {
-      var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected';
-      // selected1: row indices; selected2: column indices
-      var initSel = function(x) {
-        if (x === null || typeof x === 'boolean' || selTarget === 'cell') {
-          return {rows: [], cols: []};
-        } else if (selTarget === 'row') {
-          return {rows: $.makeArray(x), cols: []};
-        } else if (selTarget === 'column') {
-          return {rows: [], cols: $.makeArray(x)};
-        } else if (selTarget === 'row+column') {
-          return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)};
-        }
-      }
-      var selected = data.selection.selected;
-      var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols;
-      // selectable should contain either all positive or all non-positive values, not both
-      // positive values indicate "selectable" while non-positive values means "nonselectable"
-      // the assertion is performed on R side. (only column indicides could be zero which indicates
-      // the row name)
-      var selectable = data.selection.selectable;
-      var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols;
-
-      // After users reorder the rows or filter the table, we cannot use the table index
-      // directly. Instead, we need this function to find out the rows between the two clicks.
-      // If user filter the table again between the start click and the end click, the behavior
-      // would be undefined, but it should not be a problem.
-      var shiftSelRowsIndex = function(start, end) {
-        var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray();
-        start = indexes.indexOf(start); end = indexes.indexOf(end);
-        // if start is larger than end, we need to swap
-        if (start > end) {
-          var tmp = end; end = start; start = tmp;
-        }
-        return indexes.slice(start, end + 1);
-      }
-
-      var serverRowIndex = function(clientRowIndex) {
-        return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1;
-      }
-
-      // row, column, or cell selection
-      var lastClickedRow;
-      if (inArray(selTarget, ['row', 'row+column'])) {
-        // Get the current selected rows. It will also
-        // update the selected1's value based on the current row selection state
-        // Note we can't put this function inside selectRows() directly,
-        // the reason is method.selectRows() will override selected1's value but this
-        // function will add rows to selected1 (keep the existing selection), which is
-        // inconsistent with column and cell selection.
-        var selectedRows = function() {
-          var rows = table.rows('.' + selClass);
-          var idx = rows.indexes().toArray();
-          if (!server) {
-            selected1 = addOne(idx);
-            return selected1;
-          }
-          idx = idx.map(function(i) {
-            return DT_rows_current[i];
-          });
-          selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx;
-          return selected1;
-        }
-        // Change selected1's value based on selectable1, then refresh the row state
-        var onlyKeepSelectableRows = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected1 = [];
-            return;
-          }
-          if (selectable1.length === 0) return;
-          var nonselectable = selectable1[0] <= 0;
-          if (nonselectable) {
-            // should make selectable1 positive
-            selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get();
-          } else {
-            selected1 = $(selected1).filter(selectable1).get();
-          }
-        }
-        // Change selected1's value based on selectable1, then
-        // refresh the row selection state according to values in selected1
-        var selectRows = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableRows();
-          table.$('tr.' + selClass).removeClass(selClass);
-          if (selected1.length === 0) return;
-          if (server) {
-            table.rows({page: 'current'}).every(function() {
-              if (inArray(DT_rows_current[this.index()], selected1)) {
-                $(this.node()).addClass(selClass);
-              }
-            });
-          } else {
-            var selected0 = selected1.map(function(i) { return i - 1; });
-            $(table.rows(selected0).nodes()).addClass(selClass);
-          }
-        }
-        table.on('mousedown.dt', 'tbody tr', function(e) {
-          var $this = $(this), thisRow = table.row(this);
-          if (selMode === 'multiple') {
-            if (e.shiftKey && lastClickedRow !== undefined) {
-              // select or de-select depends on the last clicked row's status
-              var flagSel = !$this.hasClass(selClass);
-              var crtClickedRow = serverRowIndex(thisRow.index());
-              if (server) {
-                var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow);
-                // update current page's selClass
-                rowsIndex.map(function(i) {
-                  var rowIndex = DT_rows_current.indexOf(i);
-                  if (rowIndex >= 0) {
-                    var row = table.row(rowIndex).nodes().to$();
-                    var flagRowSel = !row.hasClass(selClass);
-                    if (flagSel === flagRowSel) row.toggleClass(selClass);
-                  }
-                });
-                // update selected1
-                if (flagSel) {
-                  selected1 = unique(selected1.concat(rowsIndex));
-                } else {
-                  selected1 = selected1.filter(function(index) {
-                    return !inArray(index, rowsIndex);
-                  });
-                }
-              } else {
-                // js starts from 0
-                shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) {
-                  var row = table.row(value).nodes().to$();
-                  var flagRowSel = !row.hasClass(selClass);
-                  if (flagSel === flagRowSel) row.toggleClass(selClass);
-                });
-              }
-              e.preventDefault();
-            } else {
-              $this.toggleClass(selClass);
-            }
-          } else {
-            if ($this.hasClass(selClass)) {
-              $this.removeClass(selClass);
-            } else {
-              table.$('tr.' + selClass).removeClass(selClass);
-              $this.addClass(selClass);
-            }
-          }
-          if (server && !$this.hasClass(selClass)) {
-            var id = DT_rows_current[thisRow.index()];
-            // remove id from selected1 since its class .selected has been removed
-            if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1);
-          }
-          selectedRows(); // update selected1's value based on selClass
-          selectRows(false); // only keep the selectable rows
-          changeInput('rows_selected', selected1);
-          changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'});
-          lastClickedRow = serverRowIndex(thisRow.index());
-        });
-        selectRows(false);  // in case users have specified pre-selected rows
-        // restore selected rows after the table is redrawn (e.g. sort/search/page);
-        // client-side tables will preserve the selections automatically; for
-        // server-side tables, we have to *real* row indices are in `selected1`
-        changeInput('rows_selected', selected1);
-        if (server) table.on('draw.dt', function(e) { selectRows(false); });
-        methods.selectRows = function(selected, ignoreSelectable) {
-          selected1 = $.makeArray(selected);
-          selectRows(ignoreSelectable);
-          changeInput('rows_selected', selected1);
-        }
-      }
-
-      if (inArray(selTarget, ['column', 'row+column'])) {
-        if (selTarget === 'row+column') {
-          $(table.columns().footer()).css('cursor', 'pointer');
-        }
-        // update selected2's value based on selectable2
-        var onlyKeepSelectableCols = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected2 = [];
-            return;
-          }
-          if (selectable2.length === 0) return;
-          var nonselectable = selectable2[0] <= 0;
-          if (nonselectable) {
-            // need to make selectable2 positive
-            selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get();
-          } else {
-            selected2 = $(selected2).filter(selectable2).get();
-          }
-        }
-        // update selected2 and then
-        // refresh the col selection state according to values in selected2
-        var selectCols = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableCols();
-          // if selected2 is not a valide index (e.g., larger than the column number)
-          // table.columns(selected2) will fail and result in a blank table
-          // this is different from the table.rows(), where the out-of-range indexes
-          // doesn't affect at all
-          selected2 = $(selected2).filter(table.columns().indexes()).get();
-          table.columns().nodes().flatten().to$().removeClass(selClass);
-          if (selected2.length > 0)
-            table.columns(selected2).nodes().flatten().to$().addClass(selClass);
-        }
-        var callback = function() {
-          var colIdx = selTarget === 'column' ? table.cell(this).index().column :
-              $.inArray(this, table.columns().footer()),
-              thisCol = $(table.column(colIdx).nodes());
-          if (colIdx === -1) return;
-          if (thisCol.hasClass(selClass)) {
-            thisCol.removeClass(selClass);
-            selected2.splice($.inArray(colIdx, selected2), 1);
-          } else {
-            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
-            thisCol.addClass(selClass);
-            selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx]));
-          }
-          selectCols(false); // update selected2 based on selectable
-          changeInput('columns_selected', selected2);
-        }
-        if (selTarget === 'column') {
-          $(table.table().body()).on('click.dt', 'td', callback);
-        } else {
-          $(table.table().footer()).on('click.dt', 'tr th', callback);
-        }
-        selectCols(false);  // in case users have specified pre-selected columns
-        changeInput('columns_selected', selected2);
-        if (server) table.on('draw.dt', function(e) { selectCols(false); });
-        methods.selectColumns = function(selected, ignoreSelectable) {
-          selected2 = $.makeArray(selected);
-          selectCols(ignoreSelectable);
-          changeInput('columns_selected', selected2);
-        }
-      }
-
-      if (selTarget === 'cell') {
-        var selected3 = [], selectable3 = [];
-        if (selected !== null) selected3 = selected;
-        if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable;
-        var findIndex = function(ij, sel) {
-          for (var i = 0; i < sel.length; i++) {
-            if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i;
-          }
-          return -1;
-        }
-         // Change selected3's value based on selectable3, then refresh the cell state
-        var onlyKeepSelectableCells = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected3 = [];
-            return;
-          }
-          if (selectable3.length === 0) return;
-          var nonselectable = selectable3[0][0] <= 0;
-          var out = [];
-          if (nonselectable) {
-            selected3.map(function(ij) {
-              // should make selectable3 positive
-              if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); }
-            });
-          } else {
-            selected3.map(function(ij) {
-              if (findIndex(ij, selectable3) > -1) { out.push(ij); }
-            });
-          }
-          selected3 = out;
-        }
-        // Change selected3's value based on selectable3, then
-        // refresh the cell selection state according to values in selected3
-        var selectCells = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableCells();
-          table.$('td.' + selClass).removeClass(selClass);
-          if (selected3.length === 0) return;
-          if (server) {
-            table.cells({page: 'current'}).every(function() {
-              var info = tweakCellIndex(this);
-              if (findIndex([info.row, info.col], selected3) > -1)
-                $(this.node()).addClass(selClass);
-            });
-          } else {
-            selected3.map(function(ij) {
-              $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass);
-            });
-          }
-        };
-        table.on('click.dt', 'tbody td', function() {
-          var $this = $(this), info = tweakCellIndex(table.cell(this));
-          if ($this.hasClass(selClass)) {
-            $this.removeClass(selClass);
-            selected3.splice(findIndex([info.row, info.col], selected3), 1);
-          } else {
-            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
-            $this.addClass(selClass);
-            selected3 = selMode === 'single' ? [[info.row, info.col]] :
-              unique(selected3.concat([[info.row, info.col]]));
-          }
-          selectCells(false); // must call this to update selected3 based on selectable3
-          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-        });
-        selectCells(false);  // in case users have specified pre-selected columns
-        changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-
-        if (server) table.on('draw.dt', function(e) { selectCells(false); });
-        methods.selectCells = function(selected, ignoreSelectable) {
-          selected3 = selected ? selected : [];
-          selectCells(ignoreSelectable);
-          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-        }
-      }
-    }
-
-    // expose some table info to Shiny
-    var updateTableInfo = function(e, settings) {
-      // TODO: is anyone interested in the page info?
-      // changeInput('page_info', table.page.info());
-      var updateRowInfo = function(id, modifier) {
-        var idx;
-        if (server) {
-          idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all;
-        } else {
-          var rows = table.rows($.extend({
-            search: 'applied',
-            page: 'all'
-          }, modifier));
-          idx = addOne(rows.indexes().toArray());
-        }
-        changeInput('rows' + '_' + id, idx);
-      };
-      updateRowInfo('current', {page: 'current'});
-      updateRowInfo('all', {});
-    }
-    table.on('draw.dt', updateTableInfo);
-    updateTableInfo();
-
-    // state info
-    table.on('draw.dt column-visibility.dt', function() {
-      changeInput('state', table.state());
-    });
-    changeInput('state', table.state());
-
-    // search info
-    var updateSearchInfo = function() {
-      changeInput('search', table.search());
-      if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) {
-        return $(td).find('input').first().val();
-      }));
-    }
-    table.on('draw.dt', updateSearchInfo);
-    updateSearchInfo();
-
-    var cellInfo = function(thiz) {
-      var info = tweakCellIndex(table.cell(thiz));
-      info.value = table.cell(thiz).data();
-      return info;
-    }
-    // the current cell clicked on
-    table.on('click.dt', 'tbody td', function() {
-      changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'});
-    })
-    changeInput('cell_clicked', {});
-
-    // do not trigger table selection when clicking on links unless they have classes
-    table.on('mousedown.dt', 'tbody td a', function(e) {
-      if (this.className === '') e.stopPropagation();
-    });
-
-    methods.addRow = function(data, rowname, resetPaging) {
-      var n = table.columns().indexes().length, d = n - data.length;
-      if (d === 1) {
-        data = rowname.concat(data)
-      } else if (d !== 0) {
-        console.log(data);
-        console.log(table.columns().indexes());
-        throw 'New data must be of the same length as current data (' + n + ')';
-      };
-      table.row.add(data).draw(resetPaging);
-    }
-
-    methods.updateSearch = function(keywords) {
-      if (keywords.global !== null)
-        $(table.table().container()).find('input[type=search]').first()
-             .val(keywords.global).trigger('input');
-      var columns = keywords.columns;
-      if (!filterRow || columns === null) return;
-      filterRow.toArray().map(function(td, i) {
-        var v = typeof columns === 'string' ? columns : columns[i];
-        if (typeof v === 'undefined') {
-          console.log('The search keyword for column ' + i + ' is undefined')
-          return;
-        }
-        // Update column search string and values on linked filter widgets.
-        // 'input' for factor and char filters, 'change' for numeric filters.
-        $(td).find('input').first().val(v).trigger('input', [true]).trigger('change');
-      });
-      table.draw();
-    }
-
-    methods.hideCols = function(hide, reset) {
-      if (reset) table.columns().visible(true, false);
-      table.columns(hide).visible(false);
-    }
-
-    methods.showCols = function(show, reset) {
-      if (reset) table.columns().visible(false, false);
-      table.columns(show).visible(true);
-    }
-
-    methods.colReorder = function(order, origOrder) {
-      table.colReorder.order(order, origOrder);
-    }
-
-    methods.selectPage = function(page) {
-      if (table.page.info().pages < page || page < 1) {
-        throw 'Selected page is out of range';
-      };
-      table.page(page - 1).draw(false);
-    }
-
-    methods.reloadData = function(resetPaging, clearSelection) {
-      // empty selections first if necessary
-      if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]);
-      if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]);
-      if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]);
-      table.ajax.reload(null, resetPaging);
-    }
-
-    // update table filters (set new limits of sliders)
-    methods.updateFilters = function(newProps) {
-      // loop through each filter in the filter row
-      filterRow.each(function(i, td) {
-        var k = i;
-        if (filterRow.length > newProps.length) {
-          if (i === 0) return;  // first column is row names
-          k = i - 1;
-        }
-        // Update the filters to reflect the updated data.
-        // Allow "falsy" (e.g. NULL) to signify a no-op.
-        if (newProps[k]) {
-          setFilterProps(td, newProps[k]);
-        }
-      });
-    };
-
-    table.shinyMethods = methods;
-  },
-  resize: function(el, width, height, instance) {
-    if (instance.data) this.renderValue(el, instance.data, instance);
-
-    // dynamically adjust height if fillContainer = TRUE
-    if (instance.fillContainer)
-      this.fillAvailableHeight(el, height);
-
-    this.adjustWidth(el);
-  },
-
-  // dynamically set the scroll body to fill available height
-  // (used with fillContainer = TRUE)
-  fillAvailableHeight: function(el, availableHeight) {
-
-    // see how much of the table is occupied by header/footer elements
-    // and use that to compute a target scroll body height
-    var dtWrapper = $(el).find('div.dataTables_wrapper');
-    var dtScrollBody = $(el).find($('div.dataTables_scrollBody'));
-    var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight();
-    var scrollBodyHeight = availableHeight - framingHeight;
-
-    // we need to set `max-height` to none as datatables library now sets this
-    // to a fixed height, disabling the ability to resize to fill the window,
-    // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE,
-    // or FlexDashboard
-    // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509
-    dtScrollBody.css('max-height', 'none');
-    // set the height
-    dtScrollBody.height(scrollBodyHeight + 'px');
-  },
-
-  // adjust the width of columns; remove the hard-coded widths on table and the
-  // scroll header when scrollX/Y are enabled
-  adjustWidth: function(el) {
-    var $el = $(el), table = $el.data('datatable');
-    if (table) table.columns.adjust();
-    $el.find('.dataTables_scrollHeadInner').css('width', '')
-        .children('table').css('margin-left', '');
-  }
-});
-
-  if (!HTMLWidgets.shinyMode) return;
-
-  Shiny.addCustomMessageHandler('datatable-calls', function(data) {
-    var id = data.id;
-    var el = document.getElementById(id);
-    var table = el ? $(el).data('datatable') : null;
-    if (!table) {
-      console.log("Couldn't find table with id " + id);
-      return;
-    }
-
-    var methods = table.shinyMethods, call = data.call;
-    if (methods[call.method]) {
-      methods[call.method].apply(table, call.args);
-    } else {
-      console.log("Unknown method " + call.method);
-    }
-  });
-
-})();
-</script>
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-      // https://github.com/ropensci/plotly/issues/956
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-        pickerDiv.appendChild(pickerLabel);
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-          container.style = "width: 80%; height: 10%";
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-          var selectDiv = document.createElement("div");
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-          selectDiv.appendChild(select);
-          container.appendChild(label);
-          container.appendChild(selectDiv);
-          flex.appendChild(container);
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-      
-      // finally, insert the flexbox inside the htmlwidget container,
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-      if (x.highlight.dynamic) {
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-        // TODO: let users specify options?
-        var opts = {
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-          showColour: "both",
-          palette: "limited",
-          allowedCols: colors.join(" "),
-          width: "20%",
-          height: "10%"
-        };
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-        picker.colourpicker("settings", opts);
-        picker.colourpicker("value", opts.value);
-        // inform crosstalk about a change in the current selection colour
-        var grps = x.highlight.ctGroups || [];
-        for (var i = 0; i < grps.length; i++) {
-          crosstalk.group(grps[i]).var('plotlySelectionColour')
-            .set(picker.colourpicker('value'));
-        }
-        picker.on("change", function() {
-          for (var i = 0; i < grps.length; i++) {
-            crosstalk.group(grps[i]).var('plotlySelectionColour')
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-    
-    } else {
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-      // TODO: restore crosstalk selections?
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-    // Trigger plotly.js calls defined via `plotlyProxy()`
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-            return;
-          }
-          if (!Plotly[msg.method]) {
-            throw new Error("Unknown method " + msg.method);
-          }
-          var args = [gd].concat(msg.args);
-          Plotly[msg.method].apply(null, args);
-        });
-      }
-      
-      // plotly's mapbox API doesn't currently support setting bounding boxes
-      // https://www.mapbox.com/mapbox-gl-js/example/fitbounds/
-      // so we do this manually...
-      // TODO: make sure this triggers on a redraw and relayout as well as on initial draw
-      var mapboxIDs = graphDiv._fullLayout._subplots.mapbox || [];
-      for (var i = 0; i < mapboxIDs.length; i++) {
-        var id = mapboxIDs[i];
-        var mapOpts = x.layout[id] || {};
-        var args = mapOpts._fitBounds || {};
-        if (!args) {
-          continue;
-        }
-        var mapObj = graphDiv._fullLayout[id]._subplot.map;
-        mapObj.fitBounds(args.bounds, args.options);
-      }
-      
-    });
-    
-    // Attach attributes (e.g., "key", "z") to plotly event data
-    function eventDataWithKey(eventData) {
-      if (eventData === undefined || !eventData.hasOwnProperty("points")) {
-        return null;
-      }
-      return eventData.points.map(function(pt) {
-        var obj = {
-          curveNumber: pt.curveNumber, 
-          pointNumber: pt.pointNumber, 
-          x: pt.x,
-          y: pt.y
-        };
-        
-        // If 'z' is reported with the event data, then use it!
-        if (pt.hasOwnProperty("z")) {
-          obj.z = pt.z;
-        }
-        
-        if (pt.hasOwnProperty("customdata")) {
-          obj.customdata = pt.customdata;
-        }
-        
-        /* 
-          TL;DR: (I think) we have to select the graph div (again) to attach keys...
-          
-          Why? Remember that crosstalk will dynamically add/delete traces 
-          (see traceManager.prototype.updateSelection() below)
-          For this reason, we can't simply grab keys from x.data (like we did previously)
-          Moreover, we can't use _fullData, since that doesn't include 
-          unofficial attributes. It's true that click/hover events fire with 
-          pt.data, but drag events don't...
-        */
-        var gd = document.getElementById(el.id);
-        var trace = gd.data[pt.curveNumber];
-        
-        if (!trace._isSimpleKey) {
-          var attrsToAttach = ["key"];
-        } else {
-          // simple keys fire the whole key
-          obj.key = trace.key;
-          var attrsToAttach = [];
-        }
-        
-        for (var i = 0; i < attrsToAttach.length; i++) {
-          var attr = trace[attrsToAttach[i]];
-          if (Array.isArray(attr)) {
-            if (typeof pt.pointNumber === "number") {
-              obj[attrsToAttach[i]] = attr[pt.pointNumber];
-            } else if (Array.isArray(pt.pointNumber)) {
-              obj[attrsToAttach[i]] = attr[pt.pointNumber[0]][pt.pointNumber[1]];
-            } else if (Array.isArray(pt.pointNumbers)) {
-              obj[attrsToAttach[i]] = pt.pointNumbers.map(function(idx) { return attr[idx]; });
-            }
-          }
-        }
-        return obj;
-      });
-    }
-    
-    
-    var legendEventData = function(d) {
-      // if legendgroup is not relevant just return the trace
-      var trace = d.data[d.curveNumber];
-      if (!trace.legendgroup) return trace;
-      
-      // if legendgroup was specified, return all traces that match the group
-      var legendgrps = d.data.map(function(trace){ return trace.legendgroup; });
-      var traces = [];
-      for (i = 0; i < legendgrps.length; i++) {
-        if (legendgrps[i] == trace.legendgroup) {
-          traces.push(d.data[i]);
-        }
-      }
-      
-      return traces;
-    };
-
-    
-    // send user input event data to shiny
-    if (HTMLWidgets.shinyMode && Shiny.setInputValue) {
-      
-      // Some events clear other input values
-      // TODO: always register these?
-      var eventClearMap = {
-        plotly_deselect: ["plotly_selected", "plotly_selecting", "plotly_brushed", "plotly_brushing", "plotly_click"],
-        plotly_unhover: ["plotly_hover"],
-        plotly_doubleclick: ["plotly_click"]
-      };
-    
-      Object.keys(eventClearMap).map(function(evt) {
-        graphDiv.on(evt, function() {
-          var inputsToClear = eventClearMap[evt];
-          inputsToClear.map(function(input) {
-            Shiny.setInputValue(input + "-" + x.source, null, {priority: "event"});
-          });
-        });
-      });
-      
-      var eventDataFunctionMap = {
-        plotly_click: eventDataWithKey,
-        plotly_sunburstclick: eventDataWithKey,
-        plotly_hover: eventDataWithKey,
-        plotly_unhover: eventDataWithKey,
-        // If 'plotly_selected' has already been fired, and you click
-        // on the plot afterwards, this event fires `undefined`?!?
-        // That might be considered a plotly.js bug, but it doesn't make 
-        // sense for this input change to occur if `d` is falsy because,
-        // even in the empty selection case, `d` is truthy (an object),
-        // and the 'plotly_deselect' event will reset this input
-        plotly_selected: function(d) { if (d) { return eventDataWithKey(d); } },
-        plotly_selecting: function(d) { if (d) { return eventDataWithKey(d); } },
-        plotly_brushed: function(d) {
-          if (d) { return d.range ? d.range : d.lassoPoints; }
-        },
-        plotly_brushing: function(d) {
-          if (d) { return d.range ? d.range : d.lassoPoints; }
-        },
-        plotly_legendclick: legendEventData,
-        plotly_legenddoubleclick: legendEventData,
-        plotly_clickannotation: function(d) { return d.fullAnnotation }
-      };
-      
-      var registerShinyValue = function(event) {
-        var eventDataPreProcessor = eventDataFunctionMap[event] || function(d) { return d ? d : el.id };
-        // some events are unique to the R package
-        var plotlyJSevent = (event == "plotly_brushed") ? "plotly_selected" : (event == "plotly_brushing") ? "plotly_selecting" : event;
-        // register the event
-        graphDiv.on(plotlyJSevent, function(d) {
-          Shiny.setInputValue(
-            event + "-" + x.source,
-            JSON.stringify(eventDataPreProcessor(d)),
-            {priority: "event"}
-          );
-        });
-      }
-    
-      var shinyEvents = x.shinyEvents || [];
-      shinyEvents.map(registerShinyValue);
-    }
-    
-    // Given an array of {curveNumber: x, pointNumber: y} objects,
-    // return a hash of {
-    //   set1: {value: [key1, key2, ...], _isSimpleKey: false}, 
-    //   set2: {value: [key3, key4, ...], _isSimpleKey: false}
-    // }
-    function pointsToKeys(points) {
-      var keysBySet = {};
-      for (var i = 0; i < points.length; i++) {
-        
-        var trace = graphDiv.data[points[i].curveNumber];
-        if (!trace.key || !trace.set) {
-          continue;
-        }
-        
-        // set defaults for this keySet
-        // note that we don't track the nested property (yet) since we always 
-        // emit the union -- http://cpsievert.github.io/talks/20161212b/#21
-        keysBySet[trace.set] = keysBySet[trace.set] || {
-          value: [],
-          _isSimpleKey: trace._isSimpleKey
-        };
-        
-        // Use pointNumber by default, but aggregated traces should emit pointNumbers
-        var ptNum = points[i].pointNumber;
-        var hasPtNum = typeof ptNum === "number";
-        var ptNum = hasPtNum ? ptNum : points[i].pointNumbers;
-        
-        // selecting a point of a "simple" trace means: select the 
-        // entire key attached to this trace, which is useful for,
-        // say clicking on a fitted line to select corresponding observations 
-        var key = trace._isSimpleKey ? trace.key : Array.isArray(ptNum) ? ptNum.map(function(idx) { return trace.key[idx]; }) : trace.key[ptNum];
-        // http://stackoverflow.com/questions/10865025/merge-flatten-an-array-of-arrays-in-javascript
-        var keyFlat = trace._isNestedKey ? [].concat.apply([], key) : key;
-        
-        // TODO: better to only add new values?
-        keysBySet[trace.set].value = keysBySet[trace.set].value.concat(keyFlat);
-      }
-      
-      return keysBySet;
-    }
-    
-    
-    x.highlight.color = x.highlight.color || [];
-    // make sure highlight color is an array
-    if (!Array.isArray(x.highlight.color)) {
-      x.highlight.color = [x.highlight.color];
-    }
-
-    var traceManager = new TraceManager(graphDiv, x.highlight);
-
-    // Gather all *unique* sets.
-    var allSets = [];
-    for (var curveIdx = 0; curveIdx < x.data.length; curveIdx++) {
-      var newSet = x.data[curveIdx].set;
-      if (newSet) {
-        if (allSets.indexOf(newSet) === -1) {
-          allSets.push(newSet);
-        }
-      }
-    }
-
-    // register event listeners for all sets
-    for (var i = 0; i < allSets.length; i++) {
-      
-      var set = allSets[i];
-      var selection = new crosstalk.SelectionHandle(set);
-      var filter = new crosstalk.FilterHandle(set);
-      
-      var filterChange = function(e) {
-        removeBrush(el);
-        traceManager.updateFilter(set, e.value);
-      };
-      filter.on("change", filterChange);
-      
-      
-      var selectionChange = function(e) {
-        
-        // Workaround for 'plotly_selected' now firing previously selected
-        // points (in addition to new ones) when holding shift key. In our case,
-        // we just want the new keys 
-        if (x.highlight.on === "plotly_selected" && x.highlight.persistentShift) {
-          // https://stackoverflow.com/questions/1187518/how-to-get-the-difference-between-two-arrays-in-javascript
-          Array.prototype.diff = function(a) {
-              return this.filter(function(i) {return a.indexOf(i) < 0;});
-          };
-          e.value = e.value.diff(e.oldValue);
-        }
-        
-        // array of "event objects" tracking the selection history
-        // this is used to avoid adding redundant selections
-        var selectionHistory = crosstalk.var("plotlySelectionHistory").get() || [];
-        
-        // Construct an event object "defining" the current event. 
-        var event = {
-          receiverID: traceManager.gd.id,
-          plotlySelectionColour: crosstalk.group(set).var("plotlySelectionColour").get()
-        };
-        event[set] = e.value;
-        // TODO: is there a smarter way to check object equality?
-        if (selectionHistory.length > 0) {
-          var ev = JSON.stringify(event);
-          for (var i = 0; i < selectionHistory.length; i++) {
-            var sel = JSON.stringify(selectionHistory[i]);
-            if (sel == ev) {
-              return;
-            }
-          }
-        }
-        
-        // accumulate history for persistent selection
-        if (!x.highlight.persistent) {
-          selectionHistory = [event];
-        } else {
-          selectionHistory.push(event);
-        }
-        crosstalk.var("plotlySelectionHistory").set(selectionHistory);
-        
-        // do the actual updating of traces, frames, and the selectize widget
-        traceManager.updateSelection(set, e.value);
-        // https://github.com/selectize/selectize.js/blob/master/docs/api.md#methods_items
-        if (x.selectize) {
-          if (!x.highlight.persistent || e.value === null) {
-            selectize.clear(true);
-          }
-          selectize.addItems(e.value, true);
-          selectize.close();
-        }
-      }
-      selection.on("change", selectionChange);
-      
-      // Set a crosstalk variable selection value, triggering an update
-      var turnOn = function(e) {
-        if (e) {
-          var selectedKeys = pointsToKeys(e.points);
-          // Keys are group names, values are array of selected keys from group.
-          for (var set in selectedKeys) {
-            if (selectedKeys.hasOwnProperty(set)) {
-              selection.set(selectedKeys[set].value, {sender: el});
-            }
-          }
-        }
-      };
-      if (x.highlight.debounce > 0) {
-        turnOn = debounce(turnOn, x.highlight.debounce);
-      }
-      graphDiv.on(x.highlight.on, turnOn);
-      
-      graphDiv.on(x.highlight.off, function turnOff(e) {
-        // remove any visual clues
-        removeBrush(el);
-        // remove any selection history
-        crosstalk.var("plotlySelectionHistory").set(null);
-        // trigger the actual removal of selection traces
-        selection.set(null, {sender: el});
-      });
-          
-      // register a callback for selectize so that there is bi-directional
-      // communication between the widget and direct manipulation events
-      if (x.selectize) {
-        var selectizeID = Object.keys(x.selectize)[i];
-        var options = x.selectize[selectizeID];
-        var first = [{value: "", label: "(All)"}];
-        var opts = $.extend({
-            options: first.concat(options.items),
-            searchField: "label",
-            valueField: "value",
-            labelField: "label",
-            maxItems: 50
-          }, 
-          options
-        );
-        var select = $("#" + selectizeID).find("select")[0];
-        var selectize = $(select).selectize(opts)[0].selectize;
-        // NOTE: this callback is triggered when *directly* altering 
-        // dropdown items
-        selectize.on("change", function() {
-          var currentItems = traceManager.groupSelections[set] || [];
-          if (!x.highlight.persistent) {
-            removeBrush(el);
-            for (var i = 0; i < currentItems.length; i++) {
-              selectize.removeItem(currentItems[i], true);
-            }
-          }
-          var newItems = selectize.items.filter(function(idx) { 
-            return currentItems.indexOf(idx) < 0;
-          });
-          if (newItems.length > 0) {
-            traceManager.updateSelection(set, newItems);
-          } else {
-            // Item has been removed...
-            // TODO: this logic won't work for dynamically changing palette 
-            traceManager.updateSelection(set, null);
-            traceManager.updateSelection(set, selectize.items);
-          }
-        });
-      }
-    } // end of selectionChange
-    
-  } // end of renderValue
-}); // end of widget definition
-
-/**
- * @param graphDiv The Plotly graph div
- * @param highlight An object with options for updating selection(s)
- */
-function TraceManager(graphDiv, highlight) {
-  // The Plotly graph div
-  this.gd = graphDiv;
-
-  // Preserve the original data.
-  // TODO: try using Lib.extendFlat() as done in  
-  // https://github.com/plotly/plotly.js/pull/1136 
-  this.origData = JSON.parse(JSON.stringify(graphDiv.data));
-  
-  // avoid doing this over and over
-  this.origOpacity = [];
-  for (var i = 0; i < this.origData.length; i++) {
-    this.origOpacity[i] = this.origData[i].opacity === 0 ? 0 : (this.origData[i].opacity || 1);
-  }
-
-  // key: group name, value: null or array of keys representing the
-  // most recently received selection for that group.
-  this.groupSelections = {};
-  
-  // selection parameters (e.g., transient versus persistent selection)
-  this.highlight = highlight;
-}
-
-TraceManager.prototype.close = function() {
-  // TODO: Unhook all event handlers
-};
-
-TraceManager.prototype.updateFilter = function(group, keys) {
-
-  if (typeof(keys) === "undefined" || keys === null) {
-    
-    this.gd.data = JSON.parse(JSON.stringify(this.origData));
-    
-  } else {
-  
-    var traces = [];
-    for (var i = 0; i < this.origData.length; i++) {
-      var trace = this.origData[i];
-      if (!trace.key || trace.set !== group) {
-        continue;
-      }
-      var matchFunc = getMatchFunc(trace);
-      var matches = matchFunc(trace.key, keys);
-      
-      if (matches.length > 0) {
-        if (!trace._isSimpleKey) {
-          // subsetArrayAttrs doesn't mutate trace (it makes a modified clone)
-          trace = subsetArrayAttrs(trace, matches);
-        }
-        traces.push(trace);
-      }
-    }
-    this.gd.data = traces;
-  }
-  
-  Plotly.redraw(this.gd);
-  
-  // NOTE: we purposely do _not_ restore selection(s), since on filter,
-  // axis likely will update, changing the pixel -> data mapping, leading 
-  // to a likely mismatch in the brush outline and highlighted marks
-  
-};
-
-TraceManager.prototype.updateSelection = function(group, keys) {
-  
-  if (keys !== null && !Array.isArray(keys)) {
-    throw new Error("Invalid keys argument; null or array expected");
-  }
-  
-  // if selection has been cleared, or if this is transient
-  // selection, delete the "selection traces"
-  var nNewTraces = this.gd.data.length - this.origData.length;
-  if (keys === null || !this.highlight.persistent && nNewTraces > 0) {
-    var tracesToRemove = [];
-    for (var i = 0; i < this.gd.data.length; i++) {
-      if (this.gd.data[i]._isCrosstalkTrace) tracesToRemove.push(i);
-    }
-    Plotly.deleteTraces(this.gd, tracesToRemove);
-    this.groupSelections[group] = keys;
-  } else {
-    // add to the groupSelection, rather than overwriting it
-    // TODO: can this be removed?
-    this.groupSelections[group] = this.groupSelections[group] || [];
-    for (var i = 0; i < keys.length; i++) {
-      var k = keys[i];
-      if (this.groupSelections[group].indexOf(k) < 0) {
-        this.groupSelections[group].push(k);
-      }
-    }
-  }
-  
-  if (keys === null) {
-    
-    Plotly.restyle(this.gd, {"opacity": this.origOpacity});
-    
-  } else if (keys.length >= 1) {
-    
-    // placeholder for new "selection traces"
-    var traces = [];
-    // this variable is set in R/highlight.R
-    var selectionColour = crosstalk.group(group).var("plotlySelectionColour").get() || 
-      this.highlight.color[0];
-
-    for (var i = 0; i < this.origData.length; i++) {
-      // TODO: try using Lib.extendFlat() as done in  
-      // https://github.com/plotly/plotly.js/pull/1136 
-      var trace = JSON.parse(JSON.stringify(this.gd.data[i]));
-      if (!trace.key || trace.set !== group) {
-        continue;
-      }
-      // Get sorted array of matching indices in trace.key
-      var matchFunc = getMatchFunc(trace);
-      var matches = matchFunc(trace.key, keys);
-      
-      if (matches.length > 0) {
-        // If this is a "simple" key, that means select the entire trace
-        if (!trace._isSimpleKey) {
-          trace = subsetArrayAttrs(trace, matches);
-        }
-        // reach into the full trace object so we can properly reflect the 
-        // selection attributes in every view
-        var d = this.gd._fullData[i];
-        
-        /* 
-        / Recursively inherit selection attributes from various sources, 
-        / in order of preference:
-        /  (1) official plotly.js selected attribute
-        /  (2) highlight(selected = attrs_selected(...))
-        */
-        // TODO: it would be neat to have a dropdown to dynamically specify these!
-        $.extend(true, trace, this.highlight.selected);
-        
-        // if it is defined, override color with the "dynamic brush color""
-        if (d.marker) {
-          trace.marker = trace.marker || {};
-          trace.marker.color =  selectionColour || trace.marker.color || d.marker.color;
-        }
-        if (d.line) {
-          trace.line = trace.line || {};
-          trace.line.color =  selectionColour || trace.line.color || d.line.color;
-        }
-        if (d.textfont) {
-          trace.textfont = trace.textfont || {};
-          trace.textfont.color =  selectionColour || trace.textfont.color || d.textfont.color;
-        }
-        if (d.fillcolor) {
-          // TODO: should selectionColour inherit alpha from the existing fillcolor?
-          trace.fillcolor = selectionColour || trace.fillcolor || d.fillcolor;
-        }
-        // attach a sensible name/legendgroup
-        trace.name = trace.name || keys.join("<br />");
-        trace.legendgroup = trace.legendgroup || keys.join("<br />");
-        
-        // keep track of mapping between this new trace and the trace it targets
-        // (necessary for updating frames to reflect the selection traces)
-        trace._originalIndex = i;
-        trace._newIndex = this.gd._fullData.length + traces.length;
-        trace._isCrosstalkTrace = true;
-        traces.push(trace);
-      }
-    }
-    
-    if (traces.length > 0) {
-      
-      Plotly.addTraces(this.gd, traces).then(function(gd) {
-        // incrementally add selection traces to frames
-        // (this is heavily inspired by Plotly.Plots.modifyFrames() 
-        // in src/plots/plots.js)
-        var _hash = gd._transitionData._frameHash;
-        var _frames = gd._transitionData._frames || [];
-        
-        for (var i = 0; i < _frames.length; i++) {
-          
-          // add to _frames[i].traces *if* this frame references selected trace(s)
-          var newIndices = [];
-          for (var j = 0; j < traces.length; j++) {
-            var tr = traces[j];
-            if (_frames[i].traces.indexOf(tr._originalIndex) > -1) {
-              newIndices.push(tr._newIndex);
-              _frames[i].traces.push(tr._newIndex);
-            }
-          }
-          
-          // nothing to do...
-          if (newIndices.length === 0) {
-            continue;
-          }
-          
-          var ctr = 0;
-          var nFrameTraces = _frames[i].data.length;
-          
-          for (var j = 0; j < nFrameTraces; j++) {
-            var frameTrace = _frames[i].data[j];
-            if (!frameTrace.key || frameTrace.set !== group) {
-              continue;
-            }
-            
-            var matchFunc = getMatchFunc(frameTrace);
-            var matches = matchFunc(frameTrace.key, keys);
-            
-            if (matches.length > 0) {
-              if (!trace._isSimpleKey) {
-                frameTrace = subsetArrayAttrs(frameTrace, matches);
-              }
-              var d = gd._fullData[newIndices[ctr]];
-              if (d.marker) {
-                frameTrace.marker = d.marker;
-              }
-              if (d.line) {
-                frameTrace.line = d.line;
-              }
-              if (d.textfont) {
-                frameTrace.textfont = d.textfont;
-              }
-              ctr = ctr + 1;
-              _frames[i].data.push(frameTrace);
-            }
-          }
-          
-          // update gd._transitionData._frameHash
-          _hash[_frames[i].name] = _frames[i];
-        }
-      
-      });
-      
-      // dim traces that have a set matching the set of selection sets
-      var tracesToDim = [],
-          opacities = [],
-          sets = Object.keys(this.groupSelections),
-          n = this.origData.length;
-          
-      for (var i = 0; i < n; i++) {
-        var opacity = this.origOpacity[i] || 1;
-        // have we already dimmed this trace? Or is this even worth doing?
-        if (opacity !== this.gd._fullData[i].opacity || this.highlight.opacityDim === 1) {
-          continue;
-        }
-        // is this set an element of the set of selection sets?
-        var matches = findMatches(sets, [this.gd.data[i].set]);
-        if (matches.length) {
-          tracesToDim.push(i);
-          opacities.push(opacity * this.highlight.opacityDim);
-        }
-      }
-      
-      if (tracesToDim.length > 0) {
-        Plotly.restyle(this.gd, {"opacity": opacities}, tracesToDim);
-        // turn off the selected/unselected API
-        Plotly.restyle(this.gd, {"selectedpoints": null});
-      }
-      
-    }
-    
-  }
-};
-
-/* 
-Note: in all of these match functions, we assume needleSet (i.e. the selected keys)
-is a 1D (or flat) array. The real difference is the meaning of haystack.
-findMatches() does the usual thing you'd expect for 
-linked brushing on a scatterplot matrix. findSimpleMatches() returns a match iff 
-haystack is a subset of the needleSet. findNestedMatches() returns 
-*/
-
-function getMatchFunc(trace) {
-  return (trace._isNestedKey) ? findNestedMatches : 
-    (trace._isSimpleKey) ? findSimpleMatches : findMatches;
-}
-
-// find matches for "flat" keys
-function findMatches(haystack, needleSet) {
-  var matches = [];
-  haystack.forEach(function(obj, i) {
-    if (obj === null || needleSet.indexOf(obj) >= 0) {
-      matches.push(i);
-    }
-  });
-  return matches;
-}
-
-// find matches for "simple" keys
-function findSimpleMatches(haystack, needleSet) {
-  var match = haystack.every(function(val) {
-    return val === null || needleSet.indexOf(val) >= 0;
-  });
-  // yes, this doesn't make much sense other than conforming 
-  // to the output type of the other match functions
-  return (match) ? [0] : []
-}
-
-// find matches for a "nested" haystack (2D arrays)
-function findNestedMatches(haystack, needleSet) {
-  var matches = [];
-  for (var i = 0; i < haystack.length; i++) {
-    var hay = haystack[i];
-    var match = hay.every(function(val) { 
-      return val === null || needleSet.indexOf(val) >= 0; 
-    });
-    if (match) {
-      matches.push(i);
-    }
-  }
-  return matches;
-}
-
-function isPlainObject(obj) {
-  return (
-    Object.prototype.toString.call(obj) === '[object Object]' &&
-    Object.getPrototypeOf(obj) === Object.prototype
-  );
-}
-
-function subsetArrayAttrs(obj, indices) {
-  var newObj = {};
-  Object.keys(obj).forEach(function(k) {
-    var val = obj[k];
-
-    if (k.charAt(0) === "_") {
-      newObj[k] = val;
-    } else if (k === "transforms" && Array.isArray(val)) {
-      newObj[k] = val.map(function(transform) {
-        return subsetArrayAttrs(transform, indices);
-      });
-    } else if (k === "colorscale" && Array.isArray(val)) {
-      newObj[k] = val;
-    } else if (isPlainObject(val)) {
-      newObj[k] = subsetArrayAttrs(val, indices);
-    } else if (Array.isArray(val)) {
-      newObj[k] = subsetArray(val, indices);
-    } else {
-      newObj[k] = val;
-    }
-  });
-  return newObj;
-}
-
-function subsetArray(arr, indices) {
-  var result = [];
-  for (var i = 0; i < indices.length; i++) {
-    result.push(arr[indices[i]]);
-  }
-  return result;
-}
-
-// Convenience function for removing plotly's brush 
-function removeBrush(el) {
-  var outlines = el.querySelectorAll(".select-outline");
-  for (var i = 0; i < outlines.length; i++) {
-    outlines[i].remove();
-  }
-}
-
-
-// https://davidwalsh.name/javascript-debounce-function
-
-// Returns a function, that, as long as it continues to be invoked, will not
-// be triggered. The function will be called after it stops being called for
-// N milliseconds. If `immediate` is passed, trigger the function on the
-// leading edge, instead of the trailing.
-function debounce(func, wait, immediate) {
-	var timeout;
-	return function() {
-		var context = this, args = arguments;
-		var later = function() {
-			timeout = null;
-			if (!immediate) func.apply(context, args);
-		};
-		var callNow = immediate && !timeout;
-		clearTimeout(timeout);
-		timeout = setTimeout(later, wait);
-		if (callNow) func.apply(context, args);
-	};
-};
-</script>
-<script>(function(global){"use strict";var undefined=void 0;var MAX_ARRAY_LENGTH=1e5;function Type(v){switch(typeof v){case"undefined":return"undefined";case"boolean":return"boolean";case"number":return"number";case"string":return"string";default:return v===null?"null":"object"}}function Class(v){return Object.prototype.toString.call(v).replace(/^\[object *|\]$/g,"")}function IsCallable(o){return typeof o==="function"}function ToObject(v){if(v===null||v===undefined)throw TypeError();return Object(v)}function ToInt32(v){return v>>0}function ToUint32(v){return v>>>0}var LN2=Math.LN2,abs=Math.abs,floor=Math.floor,log=Math.log,max=Math.max,min=Math.min,pow=Math.pow,round=Math.round;(function(){var orig=Object.defineProperty;var dom_only=!function(){try{return Object.defineProperty({},"x",{})}catch(_){return false}}();if(!orig||dom_only){Object.defineProperty=function(o,prop,desc){if(orig)try{return orig(o,prop,desc)}catch(_){}if(o!==Object(o))throw TypeError("Object.defineProperty called 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packU8Clamped(n){n=round(Number(n));return[n<0?0:n>255?255:n&255]}function packI16(n){return[n>>8&255,n&255]}function unpackI16(bytes){return as_signed(bytes[0]<<8|bytes[1],16)}function packU16(n){return[n>>8&255,n&255]}function unpackU16(bytes){return as_unsigned(bytes[0]<<8|bytes[1],16)}function packI32(n){return[n>>24&255,n>>16&255,n>>8&255,n&255]}function unpackI32(bytes){return as_signed(bytes[0]<<24|bytes[1]<<16|bytes[2]<<8|bytes[3],32)}function packU32(n){return[n>>24&255,n>>16&255,n>>8&255,n&255]}function unpackU32(bytes){return as_unsigned(bytes[0]<<24|bytes[1]<<16|bytes[2]<<8|bytes[3],32)}function packIEEE754(v,ebits,fbits){var bias=(1<<ebits-1)-1,s,e,f,ln,i,bits,str,bytes;function roundToEven(n){var w=floor(n),f=n-w;if(f<.5)return w;if(f>.5)return w+1;return w%2?w+1:w}if(v!==v){e=(1<<ebits)-1;f=pow(2,fbits-1);s=0}else if(v===Infinity||v===-Infinity){e=(1<<ebits)-1;f=0;s=v<0?1:0}else if(v===0){e=0;f=0;s=1/v===-Infinity?1:0}else{s=v<0;v=abs(v);if(v>=pow(2,1-bias)){e=min(floor(log(v)/LN2),1023);f=roundToEven(v/pow(2,e)*pow(2,fbits));if(f/pow(2,fbits)>=2){e=e+1;f=1}if(e>bias){e=(1<<ebits)-1;f=0}else{e=e+bias;f=f-pow(2,fbits)}}else{e=0;f=roundToEven(v/pow(2,1-bias-fbits))}}bits=[];for(i=fbits;i;i-=1){bits.push(f%2?1:0);f=floor(f/2)}for(i=ebits;i;i-=1){bits.push(e%2?1:0);e=floor(e/2)}bits.push(s?1:0);bits.reverse();str=bits.join("");bytes=[];while(str.length){bytes.push(parseInt(str.substring(0,8),2));str=str.substring(8)}return bytes}function unpackIEEE754(bytes,ebits,fbits){var bits=[],i,j,b,str,bias,s,e,f;for(i=bytes.length;i;i-=1){b=bytes[i-1];for(j=8;j;j-=1){bits.push(b%2?1:0);b=b>>1}}bits.reverse();str=bits.join("");bias=(1<<ebits-1)-1;s=parseInt(str.substring(0,1),2)?-1:1;e=parseInt(str.substring(1,1+ebits),2);f=parseInt(str.substring(1+ebits),2);if(e===(1<<ebits)-1){return f!==0?NaN:s*Infinity}else if(e>0){return s*pow(2,e-bias)*(1+f/pow(2,fbits))}else 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ArrayBuffer||Class(arguments[0])==="ArrayBuffer")){return function(array){var byteLength=array.length*this.BYTES_PER_ELEMENT;Object.defineProperty(this,"buffer",{value:new ArrayBuffer(byteLength)});Object.defineProperty(this,"byteLength",{value:byteLength});Object.defineProperty(this,"byteOffset",{value:0});Object.defineProperty(this,"length",{value:array.length});for(var i=0;i<this.length;i+=1){var s=array[i];this._setter(i,Number(s))}}.apply(this,arguments)}if(arguments.length>=1&&Type(arguments[0])==="object"&&(arguments[0]instanceof ArrayBuffer||Class(arguments[0])==="ArrayBuffer")){return function(buffer,byteOffset,length){byteOffset=ToUint32(byteOffset);if(byteOffset>buffer.byteLength)throw RangeError("byteOffset out of range");if(byteOffset%this.BYTES_PER_ELEMENT)throw RangeError("buffer length minus the byteOffset is not a multiple of the element size.");if(length===undefined){var byteLength=buffer.byteLength-byteOffset;if(byteLength%this.BYTES_PER_ELEMENT)throw RangeError("length of buffer minus byteOffset not a multiple of the element size");length=byteLength/this.BYTES_PER_ELEMENT}else{length=ToUint32(length);byteLength=length*this.BYTES_PER_ELEMENT}if(byteOffset+byteLength>buffer.byteLength)throw RangeError("byteOffset and length reference an area beyond the end of the buffer");Object.defineProperty(this,"buffer",{value:buffer});Object.defineProperty(this,"byteLength",{value:byteLength});Object.defineProperty(this,"byteOffset",{value:byteOffset});Object.defineProperty(this,"length",{value:length})}.apply(this,arguments)}throw TypeError()}Object.defineProperty($TypedArray$,"from",{value:function(iterable){return new this(iterable)}});Object.defineProperty($TypedArray$,"of",{value:function(){return new this(arguments)}});var $TypedArrayPrototype$={};$TypedArray$.prototype=$TypedArrayPrototype$;Object.defineProperty($TypedArray$.prototype,"_getter",{value:function(index){if(arguments.length<1)throw SyntaxError("Not enough 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true}});Object.defineProperty($TypedArray$.prototype,"fill",{value:function(value){var start=arguments[1],end=arguments[2];var o=ToObject(this);var lenVal=o.length;var len=ToUint32(lenVal);len=max(len,0);var relativeStart=ToInt32(start);var k;if(relativeStart<0)k=max(len+relativeStart,0);else k=min(relativeStart,len);var relativeEnd;if(end===undefined)relativeEnd=len;else relativeEnd=ToInt32(end);var final;if(relativeEnd<0)final=max(len+relativeEnd,0);else final=min(relativeEnd,len);while(k<final){o._setter(k,value);k+=1}return o}});Object.defineProperty($TypedArray$.prototype,"filter",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var res=[];var thisp=arguments[1];for(var i=0;i<len;i++){var val=t._getter(i);if(callbackfn.call(thisp,val,i,t))res.push(val)}return new this.constructor(res)}});Object.defineProperty($TypedArray$.prototype,"find",{value:function(predicate){var o=ToObject(this);var lenValue=o.length;var len=ToUint32(lenValue);if(!IsCallable(predicate))throw TypeError();var t=arguments.length>1?arguments[1]:undefined;var k=0;while(k<len){var kValue=o._getter(k);var testResult=predicate.call(t,kValue,k,o);if(Boolean(testResult))return kValue;++k}return undefined}});Object.defineProperty($TypedArray$.prototype,"findIndex",{value:function(predicate){var o=ToObject(this);var lenValue=o.length;var len=ToUint32(lenValue);if(!IsCallable(predicate))throw TypeError();var t=arguments.length>1?arguments[1]:undefined;var k=0;while(k<len){var kValue=o._getter(k);var testResult=predicate.call(t,kValue,k,o);if(Boolean(testResult))return k;++k}return-1}});Object.defineProperty($TypedArray$.prototype,"forEach",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var thisp=arguments[1];for(var i=0;i<len;i++)callbackfn.call(thisp,t._getter(i),i,t)}});Object.defineProperty($TypedArray$.prototype,"indexOf",{value:function(searchElement){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(len===0)return-1;var n=0;if(arguments.length>0){n=Number(arguments[1]);if(n!==n){n=0}else if(n!==0&&n!==1/0&&n!==-(1/0)){n=(n>0||-1)*floor(abs(n))}}if(n>=len)return-1;var k=n>=0?n:max(len-abs(n),0);for(;k<len;k++){if(t._getter(k)===searchElement){return k}}return-1}});Object.defineProperty($TypedArray$.prototype,"join",{value:function(separator){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var tmp=Array(len);for(var i=0;i<len;++i)tmp[i]=t._getter(i);return tmp.join(separator===undefined?",":separator)}});Object.defineProperty($TypedArray$.prototype,"lastIndexOf",{value:function(searchElement){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(len===0)return-1;var n=len;if(arguments.length>1){n=Number(arguments[1]);if(n!==n){n=0}else if(n!==0&&n!==1/0&&n!==-(1/0)){n=(n>0||-1)*floor(abs(n))}}var k=n>=0?min(n,len-1):len-abs(n);for(;k>=0;k--){if(t._getter(k)===searchElement)return k}return-1}});Object.defineProperty($TypedArray$.prototype,"map",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var res=[];res.length=len;var thisp=arguments[1];for(var i=0;i<len;i++)res[i]=callbackfn.call(thisp,t._getter(i),i,t);return new this.constructor(res)}});Object.defineProperty($TypedArray$.prototype,"reduce",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();if(len===0&&arguments.length===1)throw TypeError();var k=0;var accumulator;if(arguments.length>=2){accumulator=arguments[1]}else{accumulator=t._getter(k++)}while(k<len){accumulator=callbackfn.call(undefined,accumulator,t._getter(k),k,t);k++}return accumulator}});Object.defineProperty($TypedArray$.prototype,"reduceRight",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();if(len===0&&arguments.length===1)throw TypeError();var k=len-1;var accumulator;if(arguments.length>=2){accumulator=arguments[1]}else{accumulator=t._getter(k--)}while(k>=0){accumulator=callbackfn.call(undefined,accumulator,t._getter(k),k,t);k--}return accumulator}});Object.defineProperty($TypedArray$.prototype,"reverse",{value:function(){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var half=floor(len/2);for(var i=0,j=len-1;i<half;++i,--j){var tmp=t._getter(i);t._setter(i,t._getter(j));t._setter(j,tmp)}return t}});Object.defineProperty($TypedArray$.prototype,"set",{value:function(index,value){if(arguments.length<1)throw SyntaxError("Not enough arguments");var array,sequence,offset,len,i,s,d,byteOffset,byteLength,tmp;if(typeof arguments[0]==="object"&&arguments[0].constructor===this.constructor){array=arguments[0];offset=ToUint32(arguments[1]);if(offset+array.length>this.length){throw RangeError("Offset plus length of array is out of range")}byteOffset=this.byteOffset+offset*this.BYTES_PER_ELEMENT;byteLength=array.length*this.BYTES_PER_ELEMENT;if(array.buffer===this.buffer){tmp=[];for(i=0,s=array.byteOffset;i<byteLength;i+=1,s+=1){tmp[i]=array.buffer._bytes[s]}for(i=0,d=byteOffset;i<byteLength;i+=1,d+=1){this.buffer._bytes[d]=tmp[i]}}else{for(i=0,s=array.byteOffset,d=byteOffset;i<byteLength;i+=1,s+=1,d+=1){this.buffer._bytes[d]=array.buffer._bytes[s]}}}else if(typeof arguments[0]==="object"&&typeof arguments[0].length!=="undefined"){sequence=arguments[0];len=ToUint32(sequence.length);offset=ToUint32(arguments[1]);if(offset+len>this.length){throw RangeError("Offset plus length of array is out of range")}for(i=0;i<len;i+=1){s=sequence[i];this._setter(offset+i,Number(s))}}else{throw TypeError("Unexpected argument type(s)")}}});Object.defineProperty($TypedArray$.prototype,"slice",{value:function(start,end){var o=ToObject(this);var lenVal=o.length;var len=ToUint32(lenVal);var relativeStart=ToInt32(start);var k=relativeStart<0?max(len+relativeStart,0):min(relativeStart,len);var relativeEnd=end===undefined?len:ToInt32(end);var final=relativeEnd<0?max(len+relativeEnd,0):min(relativeEnd,len);var count=final-k;var c=o.constructor;var a=new c(count);var n=0;while(k<final){var kValue=o._getter(k);a._setter(n,kValue);++k;++n}return a}});Object.defineProperty($TypedArray$.prototype,"some",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var thisp=arguments[1];for(var i=0;i<len;i++){if(callbackfn.call(thisp,t._getter(i),i,t)){return true}}return false}});Object.defineProperty($TypedArray$.prototype,"sort",{value:function(comparefn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var tmp=Array(len);for(var i=0;i<len;++i)tmp[i]=t._getter(i);if(comparefn)tmp.sort(comparefn);else tmp.sort();for(i=0;i<len;++i)t._setter(i,tmp[i]);return t}});Object.defineProperty($TypedArray$.prototype,"subarray",{value:function(start,end){function clamp(v,min,max){return v<min?min:v>max?max:v}start=ToInt32(start);end=ToInt32(end);if(arguments.length<1){start=0}if(arguments.length<2){end=this.length}if(start<0){start=this.length+start}if(end<0){end=this.length+end}start=clamp(start,0,this.length);end=clamp(end,0,this.length);var len=end-start;if(len<0){len=0}return new this.constructor(this.buffer,this.byteOffset+start*this.BYTES_PER_ELEMENT,len)}});function makeTypedArray(elementSize,pack,unpack){var TypedArray=function(){Object.defineProperty(this,"constructor",{value:TypedArray});$TypedArray$.apply(this,arguments);makeArrayAccessors(this)};if("__proto__"in TypedArray){TypedArray.__proto__=$TypedArray$}else{TypedArray.from=$TypedArray$.from;TypedArray.of=$TypedArray$.of}TypedArray.BYTES_PER_ELEMENT=elementSize;var TypedArrayPrototype=function(){};TypedArrayPrototype.prototype=$TypedArrayPrototype$;TypedArray.prototype=new 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i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-m(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=g(t);function r(t,r){return[t,(t?t/m(t):1)*(m(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=m(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*g(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*m(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,m(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*g(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function mt(t,e){var r=L(4-3*m(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function gt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*m(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+m(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*m(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*m(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+m(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),X=G*Y-W*q;if(!X)break;var 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b=g*g,_=t+b*(e+b*(r+b*i)),w=g*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*g,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=m(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=g*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,g-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,g]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],198:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],199:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],200:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],201:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":204}],208:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],209:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],210:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],211:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],212:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],213:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(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]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],217:[function(t,e,r){e.exports=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,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]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],219:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],220:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),f=t("parse-rect"),h=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),m=t("detect-kerning"),g=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform sampler2D atlas;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= 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:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{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 shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:"top",fontSize:T.baseFontSize,fontStyle:u.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][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:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.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 J=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(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{"bit-twiddle":77,"color-normalize":84,"css-font":94,"detect-kerning":119,"es6-weak-map":177,"flatten-vertex-data":186,"font-atlas":187,"font-measure":188,"gl-util/context":221,"is-plain-obj":231,"object-assign":242,"parse-rect":244,"parse-unit":246,"pick-by-alias":248,regl:278,"to-px":309,"typedarray-pool":322}],221:[function(t,e,r){(function(r){(function(){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function 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0===s?jr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Qr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Fr(r);if("object"!==l)return[new Ct(e,r,"object expected, "+l+" found")];for(var c in r){var u=c.split(".")[0],f=n[u]||n["*"],h=void 0;if(i[u])h=i[u];else if(n[u])h=kn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Ct(e,r[c],'unknown property "'+c+'"'));continue}h=kn}s=s.concat(h({key:(e?e+".":e)+c,value:r[c],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Ct(e,r,'missing required property "'+p+'"'));return s}function $r(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||kn;if("array"!==Fr(e))return[new Ct(a,e,"array expected, "+Fr(e)+" found")];if(r.length&&e.length!==r.length)return[new Ct(a,e,"array length "+r.length+" expected, length 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0===t.value.property,l=!s,c="array"===Fr(t.value.stops)&&"array"===Fr(t.value.stops[0])&&"object"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new Ct(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,"array must have at least one stop"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,"property functions not supported")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'"property" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Fr(a))return[new Ct(s,a,"array expected, "+Fr(a)+" found")];if(2!==a.length)return[new Ct(s,a,"array length 2 expected, length "+a.length+" found")];if(c){if("object"!==Fr(a[0]))return[new Ct(s,a,"object expected, "+Fr(a[0])+" found")];if(void 0===a[0].zoom)return[new Ct(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Ct(s,a,"object stop key must have value")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(kn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Ct(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var u="number expected, "+s+" found";return zr(i)&&void 0===a&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Ct(t.key,c,u)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Ct(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Ct(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new Ct(t.key,c,"integer expected, found "+l)]}}function rn(t){var e=("property"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Ct(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ne(r,["zoom","feature-state"]))return[new Ct(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" found")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+Object.keys(n.values).join(", ")+"], "+JSON.stringify(r)+" found")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case"has":return t.length>=2&&"$id"!==t[1]&&"$type"!==t[1];case"in":return t.length>=3&&("string"!=typeof t[1]||Array.isArray(t[2]));case"!in":case"!has":case"none":return!1;case"==":case"!=":case">":case">=":case"<":case"<=":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case"any":case"all":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&"boolean"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:"boolean",default:!1,transition:!1,"property-type":"data-driven",expression:{interpolated:!1,parameters:["zoom","feature"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?un(t[1],t[2],"=="):"!="===r?pn(un(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?un(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(cn))):"all"===r?["all"].concat(t.slice(1).map(cn)):"none"===r?["all"].concat(t.slice(1).map(cn).map(pn)):"in"===r?fn(t[1],t.slice(2)):"!in"===r?pn(fn(t[1],t.slice(2))):"has"===r?hn(t[1]):"!has"===r?pn(hn(t[1])):"within"!==r||t}function un(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(ln)]]:["filter-in-small",t,["literal",e]]}}function hn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function pn(t){return["!",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):function t(e){var r=e.value,n=e.key;if("array"!==Fr(r))return[new Ct(n,r,"array expected, "+Fr(r)+" found")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,"filter array must have at least 1 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Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Br(zt(a))&&"identity"===Ot(a.type)&&f.push(new Ct(r,a,'"text-font" does not support identity functions'))),f.concat(kn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function gn(t){return mn(t,"paint")}function vn(t){return mn(t,"layout")}function yn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Ct(n,r,'either "type" or "ref" is required'));var o,s=Ot(r.type),l=Ot(r.ref);if(r.id)for(var c=Ot(r.id),u=0;u<t.arrayIndex;u++){var f=i.layers[u];Ot(f.id)===c&&e.push(new Ct(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Ct(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'"type" is required')];var a,o=Ot(e.type);switch(o){case"vector":case"raster":case"raster-dem":return a=Qr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:bn});case"geojson":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,rn({key:r+"."+s+".map",value:u,expressionContext:"cluster-map"})),a.push.apply(a,rn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new Ct(r,null,"Please use runtime APIs to add canvas sources, rather 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vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return"constant"===this.value.kind},bi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new bi(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:"constant",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:"constant",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn("DataDrivenProperty",Ti),Nn("DataConstantProperty",wi),Nn("CrossFadedDataDrivenProperty",ki),Nn("CrossFadedProperty",Ai),Nn("ColorRampProperty",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(In,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,"-transition")?this._transitionablePaint.getTransition(t.slice(0,-"-transition".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,"-transition"))return this._transitionablePaint.setTransition(t.slice(0,-"-transition".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&(("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn("StructArrayLayout2i4",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn("StructArrayLayout4i8",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn("StructArrayLayout2i4i12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn("StructArrayLayout2i4ub8",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn("StructArrayLayout8ui2ub18",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn("StructArrayLayout4i4ui4i24",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn("StructArrayLayout3f12",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn("StructArrayLayout1ul4",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn("StructArrayLayout6i1ul2ui20",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn("StructArrayLayout2ub2f12",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn("StructArrayLayout3ui6",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn("StructArrayLayout8i15ui1ul4f68",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn("StructArrayLayout1f4",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn("StructArrayLayout3i6",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn("StructArrayLayout1ul2ui8",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn("StructArrayLayout2ui4",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn("StructArrayLayout1ui2",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn("StructArrayLayout2f8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn("StructArrayLayout4f16",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn("CollisionBoxArray",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn("PlacedSymbolArray",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn("SymbolInstanceArray",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn("GlyphOffsetArray",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn("SymbolLineVertexArray",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ua(this,t)},e}(Ki);Nn("FeatureIndexArray",fa);var ha=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+pa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||h){var p=Ha(a,c,"source");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push("/a_"+a)}else{var d=Ha(a,c,"composite");this.binders[a]=new Ba(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var h={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillExtrusionBucket",Os,{omit:["layers","features"]});var Rs={paint:new Si({"fill-extrusion-opacity":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new ki(Lt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("line",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,u),"miter"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if("flipbevel"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),"fakeround"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn("LineBucket",qs,{omit:["layers","patternFeatures"]});var Gs=new Si({"line-cap":new wi(Lt.layout_line["line-cap"]),"line-join":new Ti(Lt.layout_line["line-join"]),"line-miter-limit":new wi(Lt.layout_line["line-miter-limit"]),"line-round-limit":new wi(Lt.layout_line["line-round-limit"]),"line-sort-key":new Ti(Lt.layout_line["line-sort-key"])}),Ys={paint:new Si({"line-opacity":new Ti(Lt.paint_line["line-opacity"]),"line-color":new Ti(Lt.paint_line["line-color"]),"line-translate":new wi(Lt.paint_line["line-translate"]),"line-translate-anchor":new wi(Lt.paint_line["line-translate-anchor"]),"line-width":new Ti(Lt.paint_line["line-width"]),"line-gap-width":new Ti(Lt.paint_line["line-gap-width"]),"line-offset":new Ti(Lt.paint_line["line-offset"]),"line-blur":new Ti(Lt.paint_line["line-blur"]),"line-dasharray":new Ai(Lt.paint_line["line-dasharray"]),"line-pattern":new ki(Lt.paint_line["line-pattern"]),"line-gradient":new Mi(Lt.paint_line["line-gradient"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties["line-width"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in 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e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of 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l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var 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F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var 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0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new 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mc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. 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Reduce your "text-size".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn("SymbolBuffers",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn("CollisionBuffers",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e["text-size"]),this.iconSizeData=Gl(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn("SymbolBucket",Mc,{omit:["layers","collisionBoxArray","features","compareText"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({"symbol-placement":new wi(Lt.layout_symbol["symbol-placement"]),"symbol-spacing":new wi(Lt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new wi(Lt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ti(Lt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new wi(Lt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new wi(Lt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new wi(Lt.layout_symbol["icon-ignore-placement"]),"icon-optional":new wi(Lt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new wi(Lt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ti(Lt.layout_symbol["icon-size"]),"icon-text-fit":new wi(Lt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new wi(Lt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ti(Lt.layout_symbol["icon-image"]),"icon-rotate":new Ti(Lt.layout_symbol["icon-rotate"]),"icon-padding":new wi(Lt.layout_symbol["icon-padding"]),"icon-keep-upright":new wi(Lt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ti(Lt.layout_symbol["icon-offset"]),"icon-anchor":new Ti(Lt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new wi(Lt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new wi(Lt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new wi(Lt.layout_symbol["text-rotation-alignment"]),"text-field":new Ti(Lt.layout_symbol["text-field"]),"text-font":new Ti(Lt.layout_symbol["text-font"]),"text-size":new Ti(Lt.layout_symbol["text-size"]),"text-max-width":new Ti(Lt.layout_symbol["text-max-width"]),"text-line-height":new wi(Lt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ti(Lt.layout_symbol["text-letter-spacing"]),"text-justify":new Ti(Lt.layout_symbol["text-justify"]),"text-radial-offset":new Ti(Lt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new wi(Lt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ti(Lt.layout_symbol["text-anchor"]),"text-max-angle":new wi(Lt.layout_symbol["text-max-angle"]),"text-writing-mode":new wi(Lt.layout_symbol["text-writing-mode"]),"text-rotate":new Ti(Lt.layout_symbol["text-rotate"]),"text-padding":new wi(Lt.layout_symbol["text-padding"]),"text-keep-upright":new wi(Lt.layout_symbol["text-keep-upright"]),"text-transform":new Ti(Lt.layout_symbol["text-transform"]),"text-offset":new Ti(Lt.layout_symbol["text-offset"]),"text-allow-overlap":new wi(Lt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new wi(Lt.layout_symbol["text-ignore-placement"]),"text-optional":new wi(Lt.layout_symbol["text-optional"])}),Ec={paint:new Si({"icon-opacity":new Ti(Lt.paint_symbol["icon-opacity"]),"icon-color":new Ti(Lt.paint_symbol["icon-color"]),"icon-halo-color":new Ti(Lt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ti(Lt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ti(Lt.paint_symbol["icon-halo-blur"]),"icon-translate":new wi(Lt.paint_symbol["icon-translate"]),"icon-translate-anchor":new wi(Lt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ti(Lt.paint_symbol["text-opacity"]),"text-color":new Ti(Lt.paint_symbol["text-color"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ti(Lt.paint_symbol["text-halo-color"]),"text-halo-width":new Ti(Lt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ti(Lt.paint_symbol["text-halo-blur"]),"text-translate":new wi(Lt.paint_symbol["text-translate"]),"text-translate-anchor":new wi(Lt.paint_symbol["text-translate-anchor"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn("FormatSectionOverride",Lc,{omit:["defaultValue"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s="constant"===i.value.kind||"source"===i.value.kind?new Xr("source",o):new Zr("composite",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({"background-color":new wi(Lt.paint_background["background-color"]),"background-pattern":new Ai(Lt.paint_background["background-pattern"]),"background-opacity":new wi(Lt.paint_background["background-opacity"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({"raster-opacity":new wi(Lt.paint_raster["raster-opacity"]),"raster-hue-rotate":new wi(Lt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new wi(Lt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new wi(Lt.paint_raster["raster-brightness-max"]),"raster-saturation":new wi(Lt.paint_raster["raster-saturation"]),"raster-contrast":new wi(Lt.paint_raster["raster-contrast"]),"raster-resampling":new wi(Lt.paint_raster["raster-resampling"]),"raster-fade-duration":new wi(Lt.paint_raster["raster-fade-duration"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,"fill-extrusion":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Hc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Wc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn("CanonicalTileID",eu),Nn("OverscaledTileID",nu,{omit:["posMatrix"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn("DEMData",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn("FeatureIndex",uu,{omit:["rawTileData","sourceLayerCoder"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||"deferred"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],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],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return 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vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else"Feature"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time("creation"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time("clipping");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,f),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var 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At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},Ue=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ve=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,"sources."+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];"symbol"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ye=yr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),We=yr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=yr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ze=yr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Je=yr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=yr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Qe=yr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),$e=yr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),tr=yr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),er=yr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),rr=yr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),nr=yr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=yr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ar=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),or=yr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),sr=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),lr=yr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),cr=yr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),ur=yr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),fr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=yr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),pr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),dr=yr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=yr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=yr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),vr=yr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function yr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ye.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else 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o=e.transform,s=e.lineAtlas,l=jr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g="map"===l,v="map"===c,y=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Kr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),f=u.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":c?"lineSDF":h?"lineGradient":"line",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):"translucent"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,"opaque"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o="3d"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass="offscreen";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+u):t})).filter((function(t){return t}));return h||p.push(f+"="+u),"#"+p.join("&")}return"#"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add("boxZoom",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new fi;this._add("tapDragZoom",o);var s=e.touchPitch=new ii;this._add("touchPitch",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add("mousePan",u),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new li(e,this);this._add("scrollZoom",d,["mousePan"]);var m=e.keyboard=new oi;this._add("keyboard",m),this._add("blockableMapEvent",new jn(e));for(var g=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+"end"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};bi.prototype.getDefaultPosition=function(){return"bottom-right"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},bi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var _i=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return"bottom-left"},_i.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ai))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<f.length;u+=1){var h=f[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var m=r.createNS("http://www.w3.org/2000/svg","path");m.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(m);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Ri="denied"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ni--,ji=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:"metric"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString("ScaleControl.Miles"));else Gi(e,n,l,t._getUIString("ScaleControl.Feet"))}else if(r&&"nautical"===r.unit){Gi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Gi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(""+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+" translate("+f.x+"px,"+f.y+"px)"),Di(this._container,o,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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-/*
- * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
- * @license MIT
- * @preserve Project Home: https://github.com/voidqk/polybooljs
- */
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t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:280,"stream-parser":295}],258:[function(t,e,r){"use strict";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw n("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n("unexpected EOF","EBADDATA");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],259:[function(t,e,r){"use strict";var n=t("./common").readUInt16BE,i=t("./common").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),c="",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&u(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return"avif"===e||"avis"===e||"avio"===e?{type:"avif",mime:"image/avif"}:"heic"===e||"heix"===e?{type:"heic",mime:"image/heic"}:"hevc"===e||"hevx"===e?{type:"heic",mime:"image/heic-sequence"}:r.avif||r.avis?{type:"avif",mime:"image/avif"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:"heif",mime:"image/heif-sequence"}:{type:"heif",mime:"image/heif"}:{type:"avif",mime:"image/avif"}}},{"./common":257}],260:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=t("../miaf_utils"),s=t("../exif_utils"),l=n("ftyp");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,"mdat"===u.boxtype)return;if("meta"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:"px",hUnits:"px"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{"../common":257,"../exif_utils":258,"../miaf_utils":259}],261:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("BM");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:"bmp",mime:"image/bmp",wUnits:"px",hUnits:"px"}}},{"../common":257}],262:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("GIF87a"),s=n("GIF89a");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:"gif",mime:"image/gif",wUnits:"px",hUnits:"px"}}},{"../common":257}],263:[function(t,e,r){"use strict";var n=t("../common").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":257}],264:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":257,"../exif_utils":258}],265:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":257}],266:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":257}],267:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var 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thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\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:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\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\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * 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) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 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:o(["precision highp float;\n#define GLSLIFY 1\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:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\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:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.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},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{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"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var X=d.bounds,Z=X[2]-X[0],J=X[3]-X[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[Z/K,J/Q],d.translate=[-d.range[0]/K+X[0]/K||0,-d.range[1]/Q+X[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct="transparent");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&"number"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],"uint8");ut.set(ht,4*ft)}ut.set(n(ct[0],"uint8"),4*lt)}else for(var pt=n(ct,"uint8"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.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:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["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"]),s.vert=h(["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\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}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["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 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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 = (size + borderSize) * pointSizeScale;\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  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{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 databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,"float64");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:"dynamic"}),a({data:v.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.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[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return 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n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":341,"object-assign":242}],331:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Hebrew",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{"":{name:"Hebrew",epochs:["BAM","AM"],monthNames:["Nisan","Iyar","Sivan","Tammuz","Av","Elul","Tishrei","Cheshvan","Kislev","Tevet","Shevat","Adar","Adar II"],monthNamesShort:["Nis","Iya","Siv","Tam","Av","Elu","Tis","Che","Kis","Tev","She","Ada","Ad2"],dayNames:["Yom Rishon","Yom Sheni","Yom Shlishi","Yom Revi'i","Yom Chamishi","Yom Shishi","Yom Shabbat"],dayNamesShort:["Ris","She","Shl","Rev","Cha","Shi","Sha"],dayNamesMin:["Ri","She","Shl","Re","Ch","Shi","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?"embolismic":"common")+" "+["deficient","regular","complete"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":341,"object-assign":242}],332:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":341,"object-assign":242}],333:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":341,"object-assign":242}],334:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":341,"object-assign":242}],335:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":341,"object-assign":242}],336:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,h,p=a("arrowside");-1!==p.indexOf("end")&&(f=a("arrowhead"),h=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",h)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),m=r.hoverlabel||{};if(d){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));n.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!d)}},{"../../lib":498,"../color":361}],348:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":526,"fast-isnumeric":185}],349:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,"","paper");if("paper"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=e[v]="pixel");var x="pixel"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+"anchor"),a(m+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":344,"./common_defaults":347}],350:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../../plots/cartesian/axes"),c=t("../color"),u=t("../drawing"),f=t("../fx"),h=t("../../lib/svg_text_utils"),p=t("../../lib/setcursor"),d=t("../dragelement"),m=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+"ref"],s=-1!==r.indexOf("y"),c="domain"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b="annotation-"+a,_=a+".annotations"):(b="annotation",_="annotations");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll("."+b+'[data-index="'+r+'"]').remove();var L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),O=I.append("g").classed("annotation-text-g",!0),z=k[e.showarrow?"annotationTail":"annotationPosition"],D=e.captureevents||k.annotationText||z,R=O.append("g").style("pointer-events",D?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",Y(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on("edit",(function(r){e.text=r,this.call(W),S("text",r),v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(W)}else n.selectAll("#"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=["x","y"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt="domain"===ht;"x"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):"paper"===gt?"y"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e["_"+et+"padplus"]=lt/2+K,e["_"+et+"padminus"]=lt/2-K,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(W)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(D-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select("rect").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){I.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),z=+j.attr("height"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),Y=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-X),transform:s(W,X)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":498,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/cartesian/axes":549,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../fx":401,"./draw_arrow_head":351,"@plotly/d3":58}],351:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{"../../lib":498,"../color":361,"./arrow_paths":343,"@plotly/d3":58}],352:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":562,"./attributes":344,"./calc_autorange":345,"./click":346,"./convert_coords":348,"./defaults":349,"./draw":350}],353:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../annotations/attributes":344}],354:[function(t,e,r){"use 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V,H,q,G,Y,W,X,Z,J,K,Q,$,tt,et=[],rt=[],nt={hLinePoint:null,vLinePoint:null},it=!1;if(Array.isArray(e))for(P="array",q=0;q<e.length;q++)(Y=t.calcdata[e[q].curveNumber||0])&&(W=Y[0].trace,"skip"!==Y[0].trace.hoverinfo&&(rt.push(Y),"h"===W.orientation&&(it=!0)));else{for(G=0;G<t.calcdata.length;G++)Y=t.calcdata[G],"skip"!==(W=Y[0].trace).hoverinfo&&v.isTraceInSubplots(W,l)&&(rt.push(Y),"h"===W.orientation&&(it=!0));var at,ot;if(!s)at="xpx"in e?e.xpx:_[0]._length/2,ot="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===c.triggerHandler(t,"plotly_beforehover",e))return;var st=s.getBoundingClientRect();at=e.clientX-st.left,ot=e.clientY-st.top,u._calcInverseTransform(t);var lt=o.apply3DTransform(u._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V="xval"in e?v.flat(l,e.xval):v.p2c(_,at),H="yval"in e?v.flat(l,e.yval):v.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn("Fx.hover 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var 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n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":467,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556}],407:[function(t,e,r){"use 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r=t[0].trace,o=n.select(this).select("g.legendpoints").selectAll("path.legendbox").data(r.visible&&i.traceIs(r,"box-violin")?[t]:[]);o.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),o.exit().remove(),o.each((function(){var t=n.select(this);if("all"!==r.boxpoints&&"all"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 0,r.line,5,2);t.style("stroke-width",i+"px").call(l.fill,r.fillcolor),i&&l.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:y?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});o.call(s.pointStyle,c,e)}}))})).each((function(t){k(t,this,"funnelarea")})).each((function(t){k(t,this,"pie")})).each((function(t){var 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p,d="in"===l?.5:2,m=(1+d)/2,g=(1-d)/2;for(i=0;i<f.length;i++)if(!(r=f[i]).fixedrange)if(p=r._name,"auto"===l)u[p+".autorange"]=!0;else if("reset"===l){if(void 0===r._rangeInitial)u[p+".autorange"]=!0;else{var v=r._rangeInitial.slice();u[p+".range[0]"]=v[0],u[p+".range[1]"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+".showspikes"]=r._showSpikeInitial,"on"!==h||r._showSpikeInitial||(h="off"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[m*y[0]+g*y[1],m*y[1]+g*y[0]];u[p+".range[0]"]=r.l2r(x[0]),u[p+".range[1]"]=r.l2r(x[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,u)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._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,n.call("_guiRelayout",t,s)}function p(t,e){for(var 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r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._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,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,c+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function v(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function y(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===r?1.05*c:c/1.05;o[l+".zoom"]=u}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}u.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return c(t,"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(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(t){return c(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":477,"../../lib":498,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../shapes/draw":445}],422:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b="ns"===at?-e[1]*a._length/O._length:Zt(a,y,{n:"top",s:"bottom"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/I._length:Zt(o,x,{e:"right",w:"left"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{"../../components/color":361,"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../constants/alignment":466,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/subroutines":539,"../../registry":633,"../plots":614,"./axes":549,"./axis_ids":553,"./constants":556,"./scale_zoom":569,"./select":570,"@plotly/d3":58,"has-passive-events":224,tinycolor2:307}],559:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/fx"),a=t("../../components/dragelement"),o=t("../../lib/setcursor"),s=t("./dragbox").makeDragBox,l=t("./constants").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(".drag").remove();else if(e._has("cartesian")||e._has("splom")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split("y"),i=r.split("y");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,"ns","ew");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,"n","w"),s(t,n,o._offset+o._length,c._offset-l,l,l,"n","e"),s(t,n,o._offset-l,c._offset+c._length,l,l,"s","w"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,"s","e"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;"top"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,"","ew"),s(t,n,o._offset,f,.1*o._length,l,"","w"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,"","e")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._drawing=!1}}},{}],561:[function(t,e,r){"use strict";var n=t("../../lib").strTranslate;function i(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{"../../lib":498}],562:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./axis_ids");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has("cartesian")||r._has("gl2d"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var 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n=t("polybooljs"),i=t("../../registry"),a=t("../../components/drawing").dashStyle,o=t("../../components/color"),s=t("../../components/fx"),l=t("../../components/fx/helpers").makeEventData,c=t("../../components/dragelement/helpers"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t("../../components/shapes/draw_newshape/display_outlines"),g=t("../../components/shapes/draw_newshape/helpers").handleEllipse,v=t("../../components/shapes/draw_newshape/newshapes"),y=t("../../lib"),x=t("../../lib/polygon"),b=t("../../lib/throttle"),_=t("./axis_ids").getFromId,w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("./constants"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t("./handle_outline").clearSelect,L=t("./helpers"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return 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d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,"regl")&&(d=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function H(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T="drawcircle"===l,E="drawline"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),q=i.plotinfo,G=I(q),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var 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v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},{"../../lib":498,"../../registry":633,"@plotly/d3":58}],588:[function(t,e,r){"use strict";var n=t("../registry"),i=t("./cartesian/constants").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":633,"./cartesian/constants":556}],589:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":556,"has-passive-events":224,"mouse-change":236,"mouse-event-offset":237,"mouse-wheel":239}],590:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],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.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,f=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":523,"../cartesian/axes":549}],591:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../plot_api/edit_types":531,"../cartesian":563,"../cartesian/attributes":547,"../cartesian/constants":556,"../get_data":588,"../layout_attributes":605,"./scene2d":592}],592:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").gl_select_box,f=t("webgl-context"),h=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),m=t("../cartesian/constraints"),g=m.enforce,v=m.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(m.traceCoord[0]=void 0),-1===x.indexOf("y")&&(m.traceCoord[1]=void 0),-1===x.indexOf("z")&&(m.traceCoord[2]=void 0),-1===x.indexOf("text")&&(m.textLabel=void 0),-1===x.indexOf("name")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,"bgcolor")||m.color,borderColor:s.castHoverOption(g,v,"bordercolor"),fontFamily:s.castHoverOption(g,v,"font.family"),fontSize:s.castHoverOption(g,v,"font.size"),fontColor:s.castHoverOption(g,v,"font.color"),nameLength:s.castHoverOption(g,v,"namelength"),textAlign:s.castHoverOption(g,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../../stackgl_modules":1119,"../../components/dragelement/helpers":379,"../../components/fx":401,"../../lib/show_no_webgl_msg":520,"../../plots/cartesian/axes":549,"../../registry":633,"../cartesian/autorange":548,"../cartesian/constants":556,"../cartesian/constraints":557,"./camera":589,"./convert":590,"webgl-context":326}],593:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../plot_api/edit_types":531,"../get_data":588,"./layout/attributes":594,"./layout/defaults":598,"./layout/layout_attributes":599,"./scene":603}],594:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],595:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},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,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.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,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")},{"../../../components/color":361,"../../../lib/extend":488,"../../../plot_api/edit_types":531,"../../cartesian/layout_attributes":564}],596:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,13600/187).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},{"../../../lib":498,"../../../plot_api/plot_template":538,"../../cartesian/axis_defaults":551,"../../cartesian/type_defaults":577,"./axis_attributes":595,tinycolor2:307}],597:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),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 Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":498,"../../../lib/str2rgbarray":523}],598:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],f=0;f<u.length;f++)r("camera."+u[f]+".x"),r("camera."+u[f]+".y"),r("camera."+u[f]+".z");r("camera.projection.type");var h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",h?"manual":"auto");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var m=n.getDfltFromLayout("dragmode");if(!1!==m&&!m)if(m="orbit",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m="turntable"):m="turntable")}else m="turntable";r("dragmode",m),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":361,"../../../lib":498,"../../../registry":633,"../../get_data":588,"../../subplot_defaults":627,"./axis_defaults":596,"./layout_attributes":599}],599:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,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),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},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}},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"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":498,"../../../lib/extend":488,"../../domain":579,"./axis_attributes":595}],600:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),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(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":523}],601:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[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 h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":498,"../../cartesian/axes":549}],602:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],603:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").gl_plot3d,o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),f=t("../../lib"),h=f.preserveDrawingBuffer(),p=t("../../plots/cartesian/axes"),d=t("../../components/fx"),m=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),y=t("./layout/convert"),x=t("./layout/spikes"),b=t("./layout/tick_marks");function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.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",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!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{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.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:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)"skip"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if("cube"===I)d=[1,1,1];else if("manual"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d="data"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1119,"../../components/fx":401,"../../lib":498,"../../lib/show_no_webgl_msg":520,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549,"../../registry":633,"./layout/convert":597,"./layout/spikes":600,"./layout/tick_marks":601,"./project":602,"has-passive-events":224,"webgl-context":326}],604:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],605:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("./pad_attributes"),l=t("../lib/extend").extendFlat,c=n({editType:"calc"});c.family.dflt='"Open Sans", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:l(s({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:l({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":360,"../components/shapes/draw_newshape/attributes":446,"../lib/extend":488,"./animation_attributes":543,"./font_attributes":580,"./pad_attributes":613}],606:[function(t,e,r){"use strict";var n=t("../../lib/sort_object_keys"),i='\xa9 <a target="_blank" href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',a=['\xa9 <a target="_blank" href="https://carto.com/">Carto</a>',i].join(" "),o=['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://www.openstreetmap.org/copyright">ODbL</a>'].join(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",l.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,"numbersScale",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,"numbersTranslate",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll("g.angular").data(D?e:[]);Y.exit().remove();var W=O.selectAll("g.angularaxis").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return 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U=j.select("path");w(M)?(U.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll("g.threshold-arc").data(F);Y.enter().append("g").classed("threshold-arc",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove();var W=_.selectAll("g.gauge-outline").data([x]);W.enter().append("g").classed("gauge-outline",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=O.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(v.l,v.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var I=f.selectAll("g.value-bullet").data([u.gauge.bar]);I.enter().append("g").classed("value-bullet",!0).append("rect"),I.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?I.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(u.gauge.threshold.value)).attr("x2",i.c2p(u.gauge.threshold.value)).attr("y1",(1-u.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style("stroke-width",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll("g.gauge-outline").data([g]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":361,"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_defaults":551,"../../plots/cartesian/layout_attributes":564,"../../plots/cartesian/position_defaults":567,"./constants":853,"@plotly/d3":58,"d3-interpolate":111}],857:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;var u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369,"../streamtube/calc":1040}],859:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=["xyz","xzy","yxz","yzx","zxy","zyx"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":361,"../../components/drawing":383,"@plotly/d3":58}],876:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":588,"./plot":882}],878:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../components/drawing":383,"../../lib":498,"../../lib/filter_unique.js":489,"../../lib/gup":495,"fast-isnumeric":185}],879:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",g)}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/domain":579,"../parcoords/merge_length":893,"./attributes":876}],880:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":876,"./base_plot":877,"./calc":878,"./defaults":879,"./plot":882}],881:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolateNumber,a=t("../../plot_api/plot_api"),o=t("../../components/fx"),s=t("../../lib"),l=s.strTranslate,c=t("../../components/drawing"),u=t("tinycolor2"),f=t("../../lib/svg_text_utils");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll("g.parcatslayer").data([null]);o.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=o.selectAll("g.trace.parcats").data(a,p),h=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return l(t.x,t.y)})),h.append("g").attr("class","paths");var y=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);y.attr("fill",(function(t){return t.model.color}));var x=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(x),y.attr("d",(function(t){return t.svgD})),x.empty()||y.sort(m),y.exit().remove(),y.on("mouseover",g).on("mouseout",v).on("click",b),h.append("g").attr("class","dimensions");var w=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);w.enter().append("g").attr("class","dimension"),w.attr("transform",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll("g.category").data((function(t){return t.categories}),p),M=A.enter().append("g").attr("class","category");A.attr("transform",(function(t){return l(0,t.y)})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),A.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(M);var S=A.selectAll("rect.bandrect").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var E=S.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);S.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(E),S.exit().remove(),M.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;A.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append("text").attr("class","dimlabel"),A.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",I).on("dragend",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return u.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),S(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=E(r,a,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color \u2229 "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=u.mostReadable(c.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return 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strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":883,"./base_plot":886,"./calc":887,"./defaults":889}],886:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":475,"../../plots/get_data":588,"./plot":895,"@plotly/d3":58}],887:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495}],888:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],889:[function(t,e,r){"use 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s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:m[0].slice(0,16),dim0B:m[0].slice(16,32),dim0C:m[0].slice(32,48),dim0D:m[0].slice(48,64),dim1A:m[1].slice(0,16),dim1B:m[1].slice(16,32),dim1C:m[1].slice(32,48),dim1D:m[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[m]||C[m][0]!==k||C[m][1]!==M){C[m]=[k,M];var L=y(r,a,o,i,m,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:g;h(T,P,S,I,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{"../../lib":498,"./constants":888,glslify:222}],893:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],894:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("color-rgba"),s=t("../../plots/cartesian/axes"),l=i.strRotate,c=i.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../components/drawing"),h=t("../../components/colorscale"),p=t("../../lib/gup"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t("./helpers"),y=t("./constants"),x=t("./axisbrush"),b=t("./lines");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function 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0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":361,"fast-isnumeric":185,tinycolor2:307}],899:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var m=c("textposition");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||"auto"===m||"outside"===m)&&c("automargin"),("inside"===m||"auto"===m||Array.isArray(m))&&c("insidetextorientation")}o(e,n,c);var g=c("hole");if(c("title.text")){var v=c("title.position",g?"middle center":"top center");g||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"./attributes":896,"fast-isnumeric":185}],900:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":397}],901:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":498}],902:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":896,"./base_plot":897,"./calc":898,"./defaults":899,"./layout_attributes":903,"./layout_defaults":904,"./plot":905,"./style":906,"./style_one":907}],903:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],904:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":498,"./layout_attributes":903}],905:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=l.strScale,u=l.strTranslate,f=t("../../lib/svg_text_utils"),h=t("../bar/uniform_text"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t("../bar/constants").TEXTPAD,g=t("./helpers"),v=t("./event_data"),y=t("../../lib").isValidTextValue;function x(t,e,r){var i=r[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),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f="horizontal"===u,h="tangential"===u,p="radial"===u,d="auto"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){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||p){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||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.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+=t.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-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},f=u("label"),h=u("text"),p=u("value"),d=u("percent"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d("pie",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[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(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr("stroke-linejoin","round"),h.each((function(){var v=n.select(this).selectAll("g.slice").data(e);v.enter().append("g").classed("slice",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll("path.surface").data([i]);if(h.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k="M"+(o+i.px0[0])+","+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+"Z";T?h.attr("d","M"+(o+T*i.px0[0])+","+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+"Z"+k):h.attr("d",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr("d","M"+(o+T*i.px1[0])+","+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+"l"+M*i.px0[0]+","+M*i.px0[1]+A+"Z")}else h.attr("d","M"+o+","+c+"l"+i.px0[0]+","+i.px0[1]+A+"Z")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);E.enter().append("g").classed("slicetext",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if("outside"===S)v=L(y,i);else if(v=w(y,i,d),"auto"===S&&v.scale<1){var 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n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,h=t("../../lib/extend").extendFlat,p=t("../../plot_api/edit_types").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 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h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{"../../components/dragelement":380,"../../components/fx/layout_attributes":402,"../../lib":498,"../../lib/setcursor":519,"../../plot_api/edit_types":531,"../../plots/cartesian/select":570,"../../plots/get_data":588,"../../registry":633,"./plot":918}],914:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:"c"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],A=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=A}}var M={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C="";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495,"strongly-connected-components":301}],915:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeLabel:"node-label"}}},{}],916:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,"node");function v(t,e){return n.coerce(m,g,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(m,g,v,d),v("hovertemplate");var y=h.colorway;v("color",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return 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function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,"source:")+" ",T=u(t,"target:")+" ",k=u(t,"concentration:")+" ",A=u(t,"incoming flow count:")+" ",M=u(t,"outgoing flow count:")+" ";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||"",w+m.source.label,T+m.target.label,m.concentrationscale?k+a("%0.2f")(m.flow.labelConcentration):""].filter(f).join("<br>"),color:_(o,"bgcolor")||l.addOpacity(m.color,1),borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var l=n.select(e).select("."+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join("<br>"),color:_(o,"bgcolor")||i.tinyColorHue,borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"./constants":915,"./render":919,"@plotly/d3":58}],919:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,m=t("../../lib/gup"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if("snap"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=m(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function m(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var 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n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,u)){f("text"),f("hovertext"),f("hovertemplate"),f("xhoverformat"),f("yhoverformat"),f("zhoverformat"),f("mode"),a.hasLines(e)&&(f("connectgaps"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f("texttemplate"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f("surfaceaxis")>=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],m=0;m<3;++m){var g="projection."+d[m];f(g+".show")&&(f(g+".opacity"),f(g+".scale"))}var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),m=p("b"),g=Math.min(d.length,m.length);if(g){e._length=g,p("text"),p("texttemplate"),p("hovertext"),p("mode",g<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),g.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,g),s.extraText=g.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,g.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":498,"../scatter/hover":933}],962:[function(t,e,r){"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":383,"../../plots/cartesian/axes":549,"../scatter/plot":943}],964:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{"../../components/drawing":383,"../../components/fx/helpers":397,"../../constants/interactions":473,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/cartesian/axis_ids":553,"../../registry":633,"../scatter/make_bubble_size_func":939,"../scatter/subtypes":947,"./constants":977,"./helpers":982,"color-normalize":84,"fast-isnumeric":185,"svg-path-sdf":305}],979:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),f=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g("xhoverformat"),g("yhoverformat");var b=x<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",b),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,m,g),g("line.shape")),l.hasMarkers(e)&&(f(t,e,r,m,g),g("marker.line.width",v||y?1:0)),l.hasText(e)&&(g("texttemplate"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g("fill"),"none"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{"../../lib":498,"../../registry":633,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/period_defaults":942,"../scatter/subtypes":947,"../scatter/text_defaults":948,"../scatter/xy_defaults":949,"./attributes":974,"./helpers":982}],980:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{"../../components/color":361,"../../constants/interactions":473,"../../lib":498}],981:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":931}],982:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":977}],983:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&"none"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i="x"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if("x"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{"../../lib":498,"../../registry":633,"../scatter/get_trace_color":932}],984:[function(t,e,r){arguments[4][891][0].apply(r,arguments)},{"./base_index":975,"./plot":985,dup:891}],985:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../components/dragelement/helpers").selectMode,c=t("../../lib/prepare_regl"),u=t("../scatter/subtypes"),f=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var m,g,v=t._fullLayout,y=e._scene,x=e.xaxis,b=e.yaxis;if(y)if(c(t,["ANGLE_instanced_arrays","OES_element_index_uint"],p)){var _=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.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(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);m.matrix.update(j,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":379,"../../lib":498,"../../plots/cartesian/axis_ids":553,"regl-splom":277}],1037:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return 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T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{"../../lib":498,"../scatter/subtypes":947,"./helpers":1033}],1039:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w 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e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A="";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,A+="x"),s||g[e]===f||(s=!0,A+="y"),l||v[e]===p||(l=!0,A+="z");a||(A+="x"),s||(A+="y"),l||(A+="z");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace("x",(c>u?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?m:"y"===t?g:v},P=function(t){return"x"===t?M:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":369,"../../lib":498}],1041:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(m),L=p(g),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/gl3d/zip3":604}],1042:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":1039}],1043:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":593,"./attributes":1039,"./calc":1040,"./convert":1041,"./defaults":1042}],1044:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current 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c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr("d",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,k);var p=s.ensureSingle(c,"g","slicetext"),_=s.ensureSingle(p,"text","",(function(t){t.attr("data-notex",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=m(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween("transform",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),m=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,g=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return g(Math.pow(t,m))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr("transform",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split("+"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=" of "+t),y.push(m)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(m=s.castOption(r,u.i,"text"),s.isValidTextValue(m)&&y.push(m)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../bar/style":657,"../bar/uniform_text":659,"../pie/helpers":901,"../pie/plot":905,"./constants":1047,"./fx":1049,"./helpers":1050,"./style":1055,"@plotly/d3":58,"d3-hierarchy":110,"d3-interpolate":111}],1055:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"@plotly/d3":58}],1056:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":361,"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628}],1057:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],1058:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").ndarray_linear_interpolate.d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),m=h("z");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],c),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),v=["x","y","z"];for(u=0;u<3;++u){var y="contours."+v[u],x=h(y+".show"),b=h(y+".highlight");if(x||b)for(f=0;f<3;++f)h(y+".project."+v[f]);x&&(h(y+".color"),h(y+".width"),h(y+".usecolormap")),b&&(h(y+".highlightcolor"),h(y+".highlightwidth")),h(y+".start"),h(y+".end"),h(y+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,c,h,{prefix:"",cLetter:"c"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":1056}],1060:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),moduleType:"trace",name:"surface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","2dMap","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":1056,"./calc":1057,"./convert":1058,"./defaults":1059}],1061:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell 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e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":488,"./constants":1064,"fast-isnumeric":185}],1066:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var 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(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-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(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(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=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- 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this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;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(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var 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=n(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 p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[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(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}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}},{"./lib/background.js":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,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:t,view:e,projection:r,bounds:n,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()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],72:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var 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e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{"bit-twiddle":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[function(t,e,r){"use strict";e.exports=function(t,e,r){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 h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].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]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[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]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],74:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["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=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["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) ? 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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=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["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=n(["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}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*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}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];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}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),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(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}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]},{"./lib/cube.js":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}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(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.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(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.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=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];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),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":80,"./lib/shaders":81,"gl-vec3":169}],80:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,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 p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.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:r,view:n,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),e.disable(e.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 h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.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(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,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(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.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(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[function(t,e,r){var n=t("glslify"),i=n(["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=n(["#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=n(["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=n(["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}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){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"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,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(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.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;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["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=n(["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(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.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>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;"depth"in n&&(m=!!n.depth);var g=!1;"stencil"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){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 h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":146}],87:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var m=parseInt(d.split(":")[2]);if(isNaN(m))throw new Error(n("Could not parse error: %s",d));h[m]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,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,h=[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 t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.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),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,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(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},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)}},{"./lib/shaders":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["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:n(["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:n(["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:n(["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"])}},{glslify:231}],90:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["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=n(["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=n(["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"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":132,glslify:231}],91:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);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=n(e),l=i(e,[{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]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,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(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.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]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,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),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{"./lib/shaders":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],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],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],96:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=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],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(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]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,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]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[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(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),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[h,s(t,g),g]}},{barycentric:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[function(t,e,r){var n=t("glslify"),i=n(["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=n(["#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=n(["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=n(["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=n(["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=n(["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=n(["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=n(["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}"]),h=n(["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}"]),p=n(["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}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:231}],112:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),f=t("colormap"),h=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),m=t("./lib/closest-point"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,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=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),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(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,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:r,view:n,projection:i,inverseModel:w.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),e.disable(e.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,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.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(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,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(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[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:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[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(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,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()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],114:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,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()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],116:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["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:n(["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:n(["#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:n(["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:n(["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:n(["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"])}},{glslify:231}],117:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+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()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.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(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.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 t=this.gl,e=this.screenBox,r=this.viewBox,n=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,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),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(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.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:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["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=n(["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(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":132,glslify:231}],121:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),f=t("gl-mat4/perspective"),h=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({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(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},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)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["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}"]),r.pointFragment=n(["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"]),r.pickVertex=n(["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"]),r.pickFragment=n(["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"])},{glslify:231}],123:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,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(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.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(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(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(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{"vectorize-text":311}],127:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),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},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{"gl-shader":132,glslify:231}],128:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,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 d(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(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!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(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},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()}},{"./lib/get-simple-string":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["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"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:231}],130:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,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(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":129,"gl-buffer":78,"gl-shader":132}],131:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var 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t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":78,"gl-vao":150}],142:[function(t,e,r){var n=t("glslify"),i=n(["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=n(["#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=n(["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=n(["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}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:231}],143:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t("./lib/shaders"),f=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),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 \u2014 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"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":132,glslify:231}],145:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",g.update(v),g};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),f=t("ndarray"),h=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),m=t("binary-search-bounds"),g=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[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 A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,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 S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={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 C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={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},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.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];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.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(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.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],h.draw(r.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=k[o],r.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],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.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],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={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 R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.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(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=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 t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.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(t.coords){var l=t.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(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}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,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],"mirror");var b=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 _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.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 t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new 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c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":68,"gl-mat4/invert":98,"gl-mat4/rotate":103,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/normalize":179}],306:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){"use strict";var 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i=this._southWest,e=this._northEast,n=Math.abs(i.lat-e.lat)*t,o=Math.abs(i.lng-e.lng)*t;return new T(new M(i.lat-n,i.lng-o),new M(e.lat+n,e.lng+o))},getCenter:function(){return new M((this._southWest.lat+this._northEast.lat)/2,(this._southWest.lng+this._northEast.lng)/2)},getSouthWest:function(){return this._southWest},getNorthEast:function(){return this._northEast},getNorthWest:function(){return new M(this.getNorth(),this.getWest())},getSouthEast:function(){return new M(this.getSouth(),this.getEast())},getWest:function(){return this._southWest.lng},getSouth:function(){return this._southWest.lat},getEast:function(){return this._northEast.lng},getNorth:function(){return this._northEast.lat},contains:function(t){t="number"==typeof t[0]||t instanceof M||"lat"in t?C(t):z(t);var i,e,n=this._southWest,o=this._northEast;return t instanceof T?(i=t.getSouthWest(),e=t.getNorthEast()):i=e=t,i.lat>=n.lat&&e.lat<=o.lat&&i.lng>=n.lng&&e.lng<=o.lng},intersects:function(t){t=z(t);var i=this._southWest,e=this._northEast,n=t.getSouthWest(),o=t.getNorthEast(),s=o.lat>=i.lat&&n.lat<=e.lat,r=o.lng>=i.lng&&n.lng<=e.lng;return s&&r},overlaps:function(t){t=z(t);var i=this._southWest,e=this._northEast,n=t.getSouthWest(),o=t.getNorthEast(),s=o.lat>i.lat&&n.lat<e.lat,r=o.lng>i.lng&&n.lng<e.lng;return s&&r},toBBoxString:function(){return[this.getWest(),this.getSouth(),this.getEast(),this.getNorth()].join(",")},equals:function(t,i){return!!t&&(t=z(t),this._southWest.equals(t.getSouthWest(),i)&&this._northEast.equals(t.getNorthEast(),i))},isValid:function(){return!(!this._southWest||!this._northEast)}},M.prototype={equals:function(t,i){return!!t&&(t=C(t),Math.max(Math.abs(this.lat-t.lat),Math.abs(this.lng-t.lng))<=(void 0===i?1e-9:i))},toString:function(t){return"LatLng("+a(this.lat,t)+", "+a(this.lng,t)+")"},distanceTo:function(t){return _i.distance(this,C(t))},wrap:function(){return _i.wrapLatLng(this)},toBounds:function(t){var i=180*t/40075017,e=i/Math.cos(Math.PI/180*this.lat);return z([this.lat-i,this.lng-e],[this.lat+i,this.lng+e])},clone:function(){return new M(this.lat,this.lng,this.alt)}};var ci={latLngToPoint:function(t,i){var e=this.projection.project(t),n=this.scale(i);return this.transformation._transform(e,n)},pointToLatLng:function(t,i){var e=this.scale(i),n=this.transformation.untransform(t,e);return this.projection.unproject(n)},project:function(t){return this.projection.project(t)},unproject:function(t){return this.projection.unproject(t)},scale:function(t){return 256*Math.pow(2,t)},zoom:function(t){return Math.log(t/256)/Math.LN2},getProjectedBounds:function(t){if(this.infinite)return null;var i=this.projection.bounds,e=this.scale(t);return new P(this.transformation.transform(i.min,e),this.transformation.transform(i.max,e))},infinite:!1,wrapLatLng:function(t){var i=this.wrapLng?s(t.lng,this.wrapLng,!0):t.lng;return new 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document)mi=function(){V(window,"selectstart",$)},fi=function(){q(window,"selectstart",$)};else{var ge=xt(["userSelect","WebkitUserSelect","OUserSelect","MozUserSelect","msUserSelect"]);mi=function(){if(ge){var t=document.documentElement.style;gi=t[ge],t[ge]="none"}},fi=function(){ge&&(document.documentElement.style[ge]=gi,gi=void 0)}}var ve,ye,xe=(Object.freeze||Object)({TRANSFORM:pe,TRANSITION:me,TRANSITION_END:fe,get:rt,getStyle:at,create:ht,remove:ut,empty:lt,toFront:ct,toBack:_t,hasClass:dt,addClass:pt,removeClass:mt,setClass:ft,getClass:gt,setOpacity:vt,testProp:xt,setTransform:wt,setPosition:Lt,getPosition:Pt,disableTextSelection:mi,enableTextSelection:fi,disableImageDrag:bt,enableImageDrag:Tt,preventOutline:zt,restoreOutline:Mt}),we=ui.extend({run:function(t,i,e,n){this.stop(),this._el=t,this._inProgress=!0,this._duration=e||.25,this._easeOutPower=1/Math.max(n||.5,.2),this._startPos=Pt(t),this._offset=i.subtract(this._startPos),this._startTime=+new Date,this.fire("start"),this._animate()},stop:function(){this._inProgress&&(this._step(!0),this._complete())},_animate:function(){this._animId=f(this._animate,this),this._step()},_step:function(t){var i=+new Date-this._startTime,e=1e3*this._duration;i<e?this._runFrame(this._easeOut(i/e),t):(this._runFrame(1),this._complete())},_runFrame:function(t,i){var e=this._startPos.add(this._offset.multiplyBy(t));i&&e._round(),Lt(this._el,e),this.fire("step")},_complete:function(){g(this._animId),this._inProgress=!1,this.fire("end")},_easeOut:function(t){return 1-Math.pow(1-t,this._easeOutPower)}}),Le=ui.extend({options:{crs:vi,center:void 0,zoom:void 0,minZoom:void 0,maxZoom:void 0,layers:[],maxBounds:void 0,renderer:void 0,zoomAnimation:!0,zoomAnimationThreshold:4,fadeAnimation:!0,markerZoomAnimation:!0,transform3DLimit:8388608,zoomSnap:1,zoomDelta:1,trackResize:!0},initialize:function(t,i){i=l(this,i),this._initContainer(t),this._initLayout(),this._onResize=e(this._onResize,this),this._initEvents(),i.maxBounds&&this.setMaxBounds(i.maxBounds),void 0!==i.zoom&&(this._zoom=this._limitZoom(i.zoom)),i.center&&void 0!==i.zoom&&this.setView(C(i.center),i.zoom,{reset:!0}),this._handlers=[],this._layers={},this._zoomBoundLayers={},this._sizeChanged=!0,this.callInitHooks(),this._zoomAnimated=me&&Ni&&!qi&&this.options.zoomAnimation,this._zoomAnimated&&(this._createAnimProxy(),V(this._proxy,fe,this._catchTransitionEnd,this)),this._addLayers(this.options.layers)},setView:function(t,e,n){return e=void 0===e?this._zoom:this._limitZoom(e),t=this._limitCenter(C(t),e,this.options.maxBounds),n=n||{},this._stop(),this._loaded&&!n.reset&&!0!==n&&(void 0!==n.animate&&(n.zoom=i({animate:n.animate},n.zoom),n.pan=i({animate:n.animate,duration:n.duration},n.pan)),this._zoom!==e?this._tryAnimatedZoom&&this._tryAnimatedZoom(t,e,n.zoom):this._tryAnimatedPan(t,n.pan))?(clearTimeout(this._sizeTimer),this):(this._resetView(t,e),this)},setZoom:function(t,i){return this._loaded?this.setView(this.getCenter(),t,{zoom:i}):(this._zoom=t,this)},zoomIn:function(t,i){return t=t||(Ni?this.options.zoomDelta:1),this.setZoom(this._zoom+t,i)},zoomOut:function(t,i){return t=t||(Ni?this.options.zoomDelta:1),this.setZoom(this._zoom-t,i)},setZoomAround:function(t,i,e){var n=this.getZoomScale(i),o=this.getSize().divideBy(2),s=(t instanceof x?t:this.latLngToContainerPoint(t)).subtract(o).multiplyBy(1-1/n),r=this.containerPointToLatLng(o.add(s));return this.setView(r,i,{zoom:e})},_getBoundsCenterZoom:function(t,i){i=i||{},t=t.getBounds?t.getBounds():z(t);var e=w(i.paddingTopLeft||i.padding||[0,0]),n=w(i.paddingBottomRight||i.padding||[0,0]),o=this.getBoundsZoom(t,!1,e.add(n));if((o="number"==typeof i.maxZoom?Math.min(i.maxZoom,o):o)===1/0)return{center:t.getCenter(),zoom:o};var s=n.subtract(e).divideBy(2),r=this.project(t.getSouthWest(),o),a=this.project(t.getNorthEast(),o);return{center:this.unproject(r.add(a).divideBy(2).add(s),o),zoom:o}},fitBounds:function(t,i){if(!(t=z(t)).isValid())throw new Error("Bounds are not valid.");var e=this._getBoundsCenterZoom(t,i);return this.setView(e.center,e.zoom,i)},fitWorld:function(t){return this.fitBounds([[-90,-180],[90,180]],t)},panTo:function(t,i){return this.setView(t,this._zoom,{pan:i})},panBy:function(t,i){if(t=w(t).round(),i=i||{},!t.x&&!t.y)return this.fire("moveend");if(!0!==i.animate&&!this.getSize().contains(t))return this._resetView(this.unproject(this.project(this.getCenter()).add(t)),this.getZoom()),this;if(this._panAnim||(this._panAnim=new we,this._panAnim.on({step:this._onPanTransitionStep,end:this._onPanTransitionEnd},this)),i.noMoveStart||this.fire("movestart"),!1!==i.animate){pt(this._mapPane,"leaflet-pan-anim");var e=this._getMapPanePos().subtract(t).round();this._panAnim.run(this._mapPane,e,i.duration||.25,i.easeLinearity)}else this._rawPanBy(t),this.fire("move").fire("moveend");return this},flyTo:function(t,i,e){function n(t){var i=(g*g-m*m+(t?-1:1)*x*x*v*v)/(2*(t?g:m)*x*v),e=Math.sqrt(i*i+1)-i;return e<1e-9?-18:Math.log(e)}function o(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function r(t){return o(t)/s(t)}function a(t){return m*(s(w)/s(w+y*t))}function h(t){return m*(s(w)*r(w+y*t)-o(w))/x}function u(t){return 1-Math.pow(1-t,1.5)}function l(){var e=(Date.now()-L)/b,n=u(e)*P;e<=1?(this._flyToFrame=f(l,this),this._move(this.unproject(c.add(_.subtract(c).multiplyBy(h(n)/v)),p),this.getScaleZoom(m/a(n),p),{flyTo:!0})):this._move(t,i)._moveEnd(!0)}if(!1===(e=e||{}).animate||!Ni)return this.setView(t,i,e);this._stop();var c=this.project(this.getCenter()),_=this.project(t),d=this.getSize(),p=this._zoom;t=C(t),i=void 0===i?p:i;var m=Math.max(d.x,d.y),g=m*this.getZoomScale(p,i),v=_.distanceTo(c)||1,y=1.42,x=y*y,w=n(0),L=Date.now(),P=(n(1)-w)/y,b=e.duration?1e3*e.duration:1e3*P*.8;return this._moveStart(!0,e.noMoveStart),l.call(this),this},flyToBounds:function(t,i){var e=this._getBoundsCenterZoom(t,i);return this.flyTo(e.center,e.zoom,i)},setMaxBounds:function(t){return(t=z(t)).isValid()?(this.options.maxBounds&&this.off("moveend",this._panInsideMaxBounds),this.options.maxBounds=t,this._loaded&&this._panInsideMaxBounds(),this.on("moveend",this._panInsideMaxBounds)):(this.options.maxBounds=null,this.off("moveend",this._panInsideMaxBounds))},setMinZoom:function(t){var i=this.options.minZoom;return this.options.minZoom=t,this._loaded&&i!==t&&(this.fire("zoomlevelschange"),this.getZoom()<this.options.minZoom)?this.setZoom(t):this},setMaxZoom:function(t){var i=this.options.maxZoom;return this.options.maxZoom=t,this._loaded&&i!==t&&(this.fire("zoomlevelschange"),this.getZoom()>this.options.maxZoom)?this.setZoom(t):this},panInsideBounds:function(t,i){this._enforcingBounds=!0;var e=this.getCenter(),n=this._limitCenter(e,this._zoom,z(t));return e.equals(n)||this.panTo(n,i),this._enforcingBounds=!1,this},invalidateSize:function(t){if(!this._loaded)return this;t=i({animate:!1,pan:!0},!0===t?{animate:!0}:t);var n=this.getSize();this._sizeChanged=!0,this._lastCenter=null;var o=this.getSize(),s=n.divideBy(2).round(),r=o.divideBy(2).round(),a=s.subtract(r);return a.x||a.y?(t.animate&&t.pan?this.panBy(a):(t.pan&&this._rawPanBy(a),this.fire("move"),t.debounceMoveend?(clearTimeout(this._sizeTimer),this._sizeTimer=setTimeout(e(this.fire,this,"moveend"),200)):this.fire("moveend")),this.fire("resize",{oldSize:n,newSize:o})):this},stop:function(){return this.setZoom(this._limitZoom(this._zoom)),this.options.zoomSnap||this.fire("viewreset"),this._stop()},locate:function(t){if(t=this._locateOptions=i({timeout:1e4,watch:!1},t),!("geolocation"in navigator))return this._handleGeolocationError({code:0,message:"Geolocation not supported."}),this;var n=e(this._handleGeolocationResponse,this),o=e(this._handleGeolocationError,this);return t.watch?this._locationWatchId=navigator.geolocation.watchPosition(n,o,t):navigator.geolocation.getCurrentPosition(n,o,t),this},stopLocate:function(){return navigator.geolocation&&navigator.geolocation.clearWatch&&navigator.geolocation.clearWatch(this._locationWatchId),this._locateOptions&&(this._locateOptions.setView=!1),this},_handleGeolocationError:function(t){var i=t.code,e=t.message||(1===i?"permission denied":2===i?"position unavailable":"timeout");this._locateOptions.setView&&!this._loaded&&this.fitWorld(),this.fire("locationerror",{code:i,message:"Geolocation error: "+e+"."})},_handleGeolocationResponse:function(t){var i=new M(t.coords.latitude,t.coords.longitude),e=i.toBounds(t.coords.accuracy),n=this._locateOptions;if(n.setView){var o=this.getBoundsZoom(e);this.setView(i,n.maxZoom?Math.min(o,n.maxZoom):o)}var s={latlng:i,bounds:e,timestamp:t.timestamp};for(var r in t.coords)"number"==typeof t.coords[r]&&(s[r]=t.coords[r]);this.fire("locationfound",s)},addHandler:function(t,i){if(!i)return this;var e=this[t]=new i(this);return this._handlers.push(e),this.options[t]&&e.enable(),this},remove:function(){if(this._initEvents(!0),this._containerId!==this._container._leaflet_id)throw new Error("Map container is being reused by another instance");try{delete this._container._leaflet_id,delete this._containerId}catch(t){this._container._leaflet_id=void 0,this._containerId=void 0}void 0!==this._locationWatchId&&this.stopLocate(),this._stop(),ut(this._mapPane),this._clearControlPos&&this._clearControlPos(),this._clearHandlers(),this._loaded&&this.fire("unload");var t;for(t in this._layers)this._layers[t].remove();for(t in this._panes)ut(this._panes[t]);return this._layers=[],this._panes=[],delete this._mapPane,delete this._renderer,this},createPane:function(t,i){var e=ht("div","leaflet-pane"+(t?" leaflet-"+t.replace("Pane","")+"-pane":""),i||this._mapPane);return t&&(this._panes[t]=e),e},getCenter:function(){return this._checkIfLoaded(),this._lastCenter&&!this._moved()?this._lastCenter:this.layerPointToLatLng(this._getCenterLayerPoint())},getZoom:function(){return this._zoom},getBounds:function(){var t=this.getPixelBounds();return new T(this.unproject(t.getBottomLeft()),this.unproject(t.getTopRight()))},getMinZoom:function(){return void 0===this.options.minZoom?this._layersMinZoom||0:this.options.minZoom},getMaxZoom:function(){return void 0===this.options.maxZoom?void 0===this._layersMaxZoom?1/0:this._layersMaxZoom:this.options.maxZoom},getBoundsZoom:function(t,i,e){t=z(t),e=w(e||[0,0]);var n=this.getZoom()||0,o=this.getMinZoom(),s=this.getMaxZoom(),r=t.getNorthWest(),a=t.getSouthEast(),h=this.getSize().subtract(e),u=b(this.project(a,n),this.project(r,n)).getSize(),l=Ni?this.options.zoomSnap:1,c=h.x/u.x,_=h.y/u.y,d=i?Math.max(c,_):Math.min(c,_);return n=this.getScaleZoom(d,n),l&&(n=Math.round(n/(l/100))*(l/100),n=i?Math.ceil(n/l)*l:Math.floor(n/l)*l),Math.max(o,Math.min(s,n))},getSize:function(){return this._size&&!this._sizeChanged||(this._size=new x(this._container.clientWidth||0,this._container.clientHeight||0),this._sizeChanged=!1),this._size.clone()},getPixelBounds:function(t,i){var e=this._getTopLeftPoint(t,i);return new P(e,e.add(this.getSize()))},getPixelOrigin:function(){return this._checkIfLoaded(),this._pixelOrigin},getPixelWorldBounds:function(t){return this.options.crs.getProjectedBounds(void 0===t?this.getZoom():t)},getPane:function(t){return"string"==typeof t?this._panes[t]:t},getPanes:function(){return this._panes},getContainer:function(){return this._container},getZoomScale:function(t,i){var e=this.options.crs;return i=void 0===i?this._zoom:i,e.scale(t)/e.scale(i)},getScaleZoom:function(t,i){var e=this.options.crs;i=void 0===i?this._zoom:i;var n=e.zoom(t*e.scale(i));return isNaN(n)?1/0:n},project:function(t,i){return i=void 0===i?this._zoom:i,this.options.crs.latLngToPoint(C(t),i)},unproject:function(t,i){return i=void 0===i?this._zoom:i,this.options.crs.pointToLatLng(w(t),i)},layerPointToLatLng:function(t){var i=w(t).add(this.getPixelOrigin());return this.unproject(i)},latLngToLayerPoint:function(t){return this.project(C(t))._round()._subtract(this.getPixelOrigin())},wrapLatLng:function(t){return this.options.crs.wrapLatLng(C(t))},wrapLatLngBounds:function(t){return this.options.crs.wrapLatLngBounds(z(t))},distance:function(t,i){return this.options.crs.distance(C(t),C(i))},containerPointToLayerPoint:function(t){return w(t).subtract(this._getMapPanePos())},layerPointToContainerPoint:function(t){return w(t).add(this._getMapPanePos())},containerPointToLatLng:function(t){var i=this.containerPointToLayerPoint(w(t));return this.layerPointToLatLng(i)},latLngToContainerPoint:function(t){return this.layerPointToContainerPoint(this.latLngToLayerPoint(C(t)))},mouseEventToContainerPoint:function(t){return tt(t,this._container)},mouseEventToLayerPoint:function(t){return this.containerPointToLayerPoint(this.mouseEventToContainerPoint(t))},mouseEventToLatLng:function(t){return this.layerPointToLatLng(this.mouseEventToLayerPoint(t))},_initContainer:function(t){var i=this._container=rt(t);if(!i)throw new Error("Map container not found.");if(i._leaflet_id)throw new Error("Map container is already initialized.");V(i,"scroll",this._onScroll,this),this._containerId=n(i)},_initLayout:function(){var t=this._container;this._fadeAnimated=this.options.fadeAnimation&&Ni,pt(t,"leaflet-container"+(Vi?" leaflet-touch":"")+(Ki?" leaflet-retina":"")+(Li?" leaflet-oldie":"")+(ki?" leaflet-safari":"")+(this._fadeAnimated?" leaflet-fade-anim":""));var i=at(t,"position");"absolute"!==i&&"relative"!==i&&"fixed"!==i&&(t.style.position="relative"),this._initPanes(),this._initControlPos&&this._initControlPos()},_initPanes:function(){var t=this._panes={};this._paneRenderers={},this._mapPane=this.createPane("mapPane",this._container),Lt(this._mapPane,new x(0,0)),this.createPane("tilePane"),this.createPane("shadowPane"),this.createPane("overlayPane"),this.createPane("markerPane"),this.createPane("tooltipPane"),this.createPane("popupPane"),this.options.markerZoomAnimation||(pt(t.markerPane,"leaflet-zoom-hide"),pt(t.shadowPane,"leaflet-zoom-hide"))},_resetView:function(t,i){Lt(this._mapPane,new x(0,0));var e=!this._loaded;this._loaded=!0,i=this._limitZoom(i),this.fire("viewprereset");var n=this._zoom!==i;this._moveStart(n,!1)._move(t,i)._moveEnd(n),this.fire("viewreset"),e&&this.fire("load")},_moveStart:function(t,i){return t&&this.fire("zoomstart"),i||this.fire("movestart"),this},_move:function(t,i,e){void 0===i&&(i=this._zoom);var n=this._zoom!==i;return this._zoom=i,this._lastCenter=t,this._pixelOrigin=this._getNewPixelOrigin(t),(n||e&&e.pinch)&&this.fire("zoom",e),this.fire("move",e)},_moveEnd:function(t){return t&&this.fire("zoomend"),this.fire("moveend")},_stop:function(){return g(this._flyToFrame),this._panAnim&&this._panAnim.stop(),this},_rawPanBy:function(t){Lt(this._mapPane,this._getMapPanePos().subtract(t))},_getZoomSpan:function(){return this.getMaxZoom()-this.getMinZoom()},_panInsideMaxBounds:function(){this._enforcingBounds||this.panInsideBounds(this.options.maxBounds)},_checkIfLoaded:function(){if(!this._loaded)throw new Error("Set map center and zoom first.")},_initEvents:function(t){this._targets={},this._targets[n(this._container)]=this;var i=t?q:V;i(this._container,"click dblclick mousedown mouseup mouseover mouseout mousemove contextmenu keypress",this._handleDOMEvent,this),this.options.trackResize&&i(window,"resize",this._onResize,this),Ni&&this.options.transform3DLimit&&(t?this.off:this.on).call(this,"moveend",this._onMoveEnd)},_onResize:function(){g(this._resizeRequest),this._resizeRequest=f(function(){this.invalidateSize({debounceMoveend:!0})},this)},_onScroll:function(){this._container.scrollTop=0,this._container.scrollLeft=0},_onMoveEnd:function(){var t=this._getMapPanePos();Math.max(Math.abs(t.x),Math.abs(t.y))>=this.options.transform3DLimit&&this._resetView(this.getCenter(),this.getZoom())},_findEventTargets:function(t,i){for(var e,o=[],s="mouseout"===i||"mouseover"===i,r=t.target||t.srcElement,a=!1;r;){if((e=this._targets[n(r)])&&("click"===i||"preclick"===i)&&!t._simulated&&this._draggableMoved(e)){a=!0;break}if(e&&e.listens(i,!0)){if(s&&!ot(r,t))break;if(o.push(e),s)break}if(r===this._container)break;r=r.parentNode}return o.length||a||s||!ot(r,t)||(o=[this]),o},_handleDOMEvent:function(t){if(this._loaded&&!nt(t)){var i=t.type;"mousedown"!==i&&"keypress"!==i||zt(t.target||t.srcElement),this._fireDOMEvent(t,i)}},_mouseEvents:["click","dblclick","mouseover","mouseout","contextmenu"],_fireDOMEvent:function(t,e,n){if("click"===t.type){var o=i({},t);o.type="preclick",this._fireDOMEvent(o,o.type,n)}if(!t._stopped&&(n=(n||[]).concat(this._findEventTargets(t,e))).length){var s=n[0];"contextmenu"===e&&s.listens(e,!0)&&$(t);var r={originalEvent:t};if("keypress"!==t.type){var a=s.getLatLng&&(!s._radius||s._radius<=10);r.containerPoint=a?this.latLngToContainerPoint(s.getLatLng()):this.mouseEventToContainerPoint(t),r.layerPoint=this.containerPointToLayerPoint(r.containerPoint),r.latlng=a?s.getLatLng():this.layerPointToLatLng(r.layerPoint)}for(var h=0;h<n.length;h++)if(n[h].fire(e,r,!0),r.originalEvent._stopped||!1===n[h].options.bubblingMouseEvents&&-1!==d(this._mouseEvents,e))return}},_draggableMoved:function(t){return(t=t.dragging&&t.dragging.enabled()?t:this).dragging&&t.dragging.moved()||this.boxZoom&&this.boxZoom.moved()},_clearHandlers:function(){for(var t=0,i=this._handlers.length;t<i;t++)this._handlers[t].disable()},whenReady:function(t,i){return this._loaded?t.call(i||this,{target:this}):this.on("load",t,i),this},_getMapPanePos:function(){return Pt(this._mapPane)||new x(0,0)},_moved:function(){var t=this._getMapPanePos();return t&&!t.equals([0,0])},_getTopLeftPoint:function(t,i){return(t&&void 0!==i?this._getNewPixelOrigin(t,i):this.getPixelOrigin()).subtract(this._getMapPanePos())},_getNewPixelOrigin:function(t,i){var e=this.getSize()._divideBy(2);return this.project(t,i)._subtract(e)._add(this._getMapPanePos())._round()},_latLngToNewLayerPoint:function(t,i,e){var n=this._getNewPixelOrigin(e,i);return this.project(t,i)._subtract(n)},_latLngBoundsToNewLayerBounds:function(t,i,e){var n=this._getNewPixelOrigin(e,i);return b([this.project(t.getSouthWest(),i)._subtract(n),this.project(t.getNorthWest(),i)._subtract(n),this.project(t.getSouthEast(),i)._subtract(n),this.project(t.getNorthEast(),i)._subtract(n)])},_getCenterLayerPoint:function(){return this.containerPointToLayerPoint(this.getSize()._divideBy(2))},_getCenterOffset:function(t){return this.latLngToLayerPoint(t).subtract(this._getCenterLayerPoint())},_limitCenter:function(t,i,e){if(!e)return t;var n=this.project(t,i),o=this.getSize().divideBy(2),s=new P(n.subtract(o),n.add(o)),r=this._getBoundsOffset(s,e,i);return r.round().equals([0,0])?t:this.unproject(n.add(r),i)},_limitOffset:function(t,i){if(!i)return t;var e=this.getPixelBounds(),n=new P(e.min.add(t),e.max.add(t));return t.add(this._getBoundsOffset(n,i))},_getBoundsOffset:function(t,i,e){var n=b(this.project(i.getNorthEast(),e),this.project(i.getSouthWest(),e)),o=n.min.subtract(t.min),s=n.max.subtract(t.max);return new x(this._rebound(o.x,-s.x),this._rebound(o.y,-s.y))},_rebound:function(t,i){return t+i>0?Math.round(t-i)/2:Math.max(0,Math.ceil(t))-Math.max(0,Math.floor(i))},_limitZoom:function(t){var i=this.getMinZoom(),e=this.getMaxZoom(),n=Ni?this.options.zoomSnap:1;return n&&(t=Math.round(t/n)*n),Math.max(i,Math.min(e,t))},_onPanTransitionStep:function(){this.fire("move")},_onPanTransitionEnd:function(){mt(this._mapPane,"leaflet-pan-anim"),this.fire("moveend")},_tryAnimatedPan:function(t,i){var e=this._getCenterOffset(t)._trunc();return!(!0!==(i&&i.animate)&&!this.getSize().contains(e))&&(this.panBy(e,i),!0)},_createAnimProxy:function(){var t=this._proxy=ht("div","leaflet-proxy leaflet-zoom-animated");this._panes.mapPane.appendChild(t),this.on("zoomanim",function(t){var i=pe,e=this._proxy.style[i];wt(this._proxy,this.project(t.center,t.zoom),this.getZoomScale(t.zoom,1)),e===this._proxy.style[i]&&this._animatingZoom&&this._onZoomTransitionEnd()},this),this.on("load moveend",function(){var t=this.getCenter(),i=this.getZoom();wt(this._proxy,this.project(t,i),this.getZoomScale(i,1))},this),this._on("unload",this._destroyAnimProxy,this)},_destroyAnimProxy:function(){ut(this._proxy),delete this._proxy},_catchTransitionEnd:function(t){this._animatingZoom&&t.propertyName.indexOf("transform")>=0&&this._onZoomTransitionEnd()},_nothingToAnimate:function(){return!this._container.getElementsByClassName("leaflet-zoom-animated").length},_tryAnimatedZoom:function(t,i,e){if(this._animatingZoom)return!0;if(e=e||{},!this._zoomAnimated||!1===e.animate||this._nothingToAnimate()||Math.abs(i-this._zoom)>this.options.zoomAnimationThreshold)return!1;var n=this.getZoomScale(i),o=this._getCenterOffset(t)._divideBy(1-1/n);return!(!0!==e.animate&&!this.getSize().contains(o))&&(f(function(){this._moveStart(!0,!1)._animateZoom(t,i,!0)},this),!0)},_animateZoom:function(t,i,n,o){this._mapPane&&(n&&(this._animatingZoom=!0,this._animateToCenter=t,this._animateToZoom=i,pt(this._mapPane,"leaflet-zoom-anim")),this.fire("zoomanim",{center:t,zoom:i,noUpdate:o}),setTimeout(e(this._onZoomTransitionEnd,this),250))},_onZoomTransitionEnd:function(){this._animatingZoom&&(this._mapPane&&mt(this._mapPane,"leaflet-zoom-anim"),this._animatingZoom=!1,this._move(this._animateToCenter,this._animateToZoom),f(function(){this._moveEnd(!0)},this))}}),Pe=v.extend({options:{position:"topright"},initialize:function(t){l(this,t)},getPosition:function(){return this.options.position},setPosition:function(t){var i=this._map;return i&&i.removeControl(this),this.options.position=t,i&&i.addControl(this),this},getContainer:function(){return this._container},addTo:function(t){this.remove(),this._map=t;var i=this._container=this.onAdd(t),e=this.getPosition(),n=t._controlCorners[e];return pt(i,"leaflet-control"),-1!==e.indexOf("bottom")?n.insertBefore(i,n.firstChild):n.appendChild(i),this},remove:function(){return this._map?(ut(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this):this},_refocusOnMap:function(t){this._map&&t&&t.screenX>0&&t.screenY>0&&this._map.getContainer().focus()}}),be=function(t){return new Pe(t)};Le.include({addControl:function(t){return t.addTo(this),this},removeControl:function(t){return t.remove(),this},_initControlPos:function(){function t(t,o){var s=e+t+" "+e+o;i[t+o]=ht("div",s,n)}var i=this._controlCorners={},e="leaflet-",n=this._controlContainer=ht("div",e+"control-container",this._container);t("top","left"),t("top","right"),t("bottom","left"),t("bottom","right")},_clearControlPos:function(){for(var t in this._controlCorners)ut(this._controlCorners[t]);ut(this._controlContainer),delete this._controlCorners,delete this._controlContainer}});var Te=Pe.extend({options:{collapsed:!0,position:"topright",autoZIndex:!0,hideSingleBase:!1,sortLayers:!1,sortFunction:function(t,i,e,n){return e<n?-1:n<e?1:0}},initialize:function(t,i,e){l(this,e),this._layerControlInputs=[],this._layers=[],this._lastZIndex=0,this._handlingClick=!1;for(var n in t)this._addLayer(t[n],n);for(n in i)this._addLayer(i[n],n,!0)},onAdd:function(t){this._initLayout(),this._update(),this._map=t,t.on("zoomend",this._checkDisabledLayers,this);for(var i=0;i<this._layers.length;i++)this._layers[i].layer.on("add remove",this._onLayerChange,this);return this._container},addTo:function(t){return Pe.prototype.addTo.call(this,t),this._expandIfNotCollapsed()},onRemove:function(){this._map.off("zoomend",this._checkDisabledLayers,this);for(var t=0;t<this._layers.length;t++)this._layers[t].layer.off("add remove",this._onLayerChange,this)},addBaseLayer:function(t,i){return this._addLayer(t,i),this._map?this._update():this},addOverlay:function(t,i){return this._addLayer(t,i,!0),this._map?this._update():this},removeLayer:function(t){t.off("add remove",this._onLayerChange,this);var i=this._getLayer(n(t));return i&&this._layers.splice(this._layers.indexOf(i),1),this._map?this._update():this},expand:function(){pt(this._container,"leaflet-control-layers-expanded"),this._form.style.height=null;var t=this._map.getSize().y-(this._container.offsetTop+50);return t<this._form.clientHeight?(pt(this._form,"leaflet-control-layers-scrollbar"),this._form.style.height=t+"px"):mt(this._form,"leaflet-control-layers-scrollbar"),this._checkDisabledLayers(),this},collapse:function(){return mt(this._container,"leaflet-control-layers-expanded"),this},_initLayout:function(){var t="leaflet-control-layers",i=this._container=ht("div",t),e=this.options.collapsed;i.setAttribute("aria-haspopup",!0),J(i),X(i);var n=this._form=ht("form",t+"-list");e&&(this._map.on("click",this.collapse,this),Ti||V(i,{mouseenter:this.expand,mouseleave:this.collapse},this));var o=this._layersLink=ht("a",t+"-toggle",i);o.href="#",o.title="Layers",Vi?(V(o,"click",Q),V(o,"click",this.expand,this)):V(o,"focus",this.expand,this),e||this.expand(),this._baseLayersList=ht("div",t+"-base",n),this._separator=ht("div",t+"-separator",n),this._overlaysList=ht("div",t+"-overlays",n),i.appendChild(n)},_getLayer:function(t){for(var i=0;i<this._layers.length;i++)if(this._layers[i]&&n(this._layers[i].layer)===t)return this._layers[i]},_addLayer:function(t,i,n){this._map&&t.on("add remove",this._onLayerChange,this),this._layers.push({layer:t,name:i,overlay:n}),this.options.sortLayers&&this._layers.sort(e(function(t,i){return this.options.sortFunction(t.layer,i.layer,t.name,i.name)},this)),this.options.autoZIndex&&t.setZIndex&&(this._lastZIndex++,t.setZIndex(this._lastZIndex)),this._expandIfNotCollapsed()},_update:function(){if(!this._container)return this;lt(this._baseLayersList),lt(this._overlaysList),this._layerControlInputs=[];var t,i,e,n,o=0;for(e=0;e<this._layers.length;e++)n=this._layers[e],this._addItem(n),i=i||n.overlay,t=t||!n.overlay,o+=n.overlay?0:1;return this.options.hideSingleBase&&(t=t&&o>1,this._baseLayersList.style.display=t?"":"none"),this._separator.style.display=i&&t?"":"none",this},_onLayerChange:function(t){this._handlingClick||this._update();var i=this._getLayer(n(t.target)),e=i.overlay?"add"===t.type?"overlayadd":"overlayremove":"add"===t.type?"baselayerchange":null;e&&this._map.fire(e,i)},_createRadioElement:function(t,i){var e='<input type="radio" class="leaflet-control-layers-selector" name="'+t+'"'+(i?' checked="checked"':"")+"/>",n=document.createElement("div");return n.innerHTML=e,n.firstChild},_addItem:function(t){var i,e=document.createElement("label"),o=this._map.hasLayer(t.layer);t.overlay?((i=document.createElement("input")).type="checkbox",i.className="leaflet-control-layers-selector",i.defaultChecked=o):i=this._createRadioElement("leaflet-base-layers",o),this._layerControlInputs.push(i),i.layerId=n(t.layer),V(i,"click",this._onInputClick,this);var s=document.createElement("span");s.innerHTML=" "+t.name;var r=document.createElement("div");return e.appendChild(r),r.appendChild(i),r.appendChild(s),(t.overlay?this._overlaysList:this._baseLayersList).appendChild(e),this._checkDisabledLayers(),e},_onInputClick:function(){var t,i,e=this._layerControlInputs,n=[],o=[];this._handlingClick=!0;for(var s=e.length-1;s>=0;s--)t=e[s],i=this._getLayer(t.layerId).layer,t.checked?n.push(i):t.checked||o.push(i);for(s=0;s<o.length;s++)this._map.hasLayer(o[s])&&this._map.removeLayer(o[s]);for(s=0;s<n.length;s++)this._map.hasLayer(n[s])||this._map.addLayer(n[s]);this._handlingClick=!1,this._refocusOnMap()},_checkDisabledLayers:function(){for(var t,i,e=this._layerControlInputs,n=this._map.getZoom(),o=e.length-1;o>=0;o--)t=e[o],i=this._getLayer(t.layerId).layer,t.disabled=void 0!==i.options.minZoom&&n<i.options.minZoom||void 0!==i.options.maxZoom&&n>i.options.maxZoom},_expandIfNotCollapsed:function(){return this._map&&!this.options.collapsed&&this.expand(),this},_expand:function(){return this.expand()},_collapse:function(){return this.collapse()}}),ze=Pe.extend({options:{position:"topleft",zoomInText:"+",zoomInTitle:"Zoom in",zoomOutText:"&#x2212;",zoomOutTitle:"Zoom out"},onAdd:function(t){var i="leaflet-control-zoom",e=ht("div",i+" leaflet-bar"),n=this.options;return this._zoomInButton=this._createButton(n.zoomInText,n.zoomInTitle,i+"-in",e,this._zoomIn),this._zoomOutButton=this._createButton(n.zoomOutText,n.zoomOutTitle,i+"-out",e,this._zoomOut),this._updateDisabled(),t.on("zoomend zoomlevelschange",this._updateDisabled,this),e},onRemove:function(t){t.off("zoomend zoomlevelschange",this._updateDisabled,this)},disable:function(){return this._disabled=!0,this._updateDisabled(),this},enable:function(){return this._disabled=!1,this._updateDisabled(),this},_zoomIn:function(t){!this._disabled&&this._map._zoom<this._map.getMaxZoom()&&this._map.zoomIn(this._map.options.zoomDelta*(t.shiftKey?3:1))},_zoomOut:function(t){!this._disabled&&this._map._zoom>this._map.getMinZoom()&&this._map.zoomOut(this._map.options.zoomDelta*(t.shiftKey?3:1))},_createButton:function(t,i,e,n,o){var s=ht("a",e,n);return s.innerHTML=t,s.href="#",s.title=i,s.setAttribute("role","button"),s.setAttribute("aria-label",i),J(s),V(s,"click",Q),V(s,"click",o,this),V(s,"click",this._refocusOnMap,this),s},_updateDisabled:function(){var t=this._map,i="leaflet-disabled";mt(this._zoomInButton,i),mt(this._zoomOutButton,i),(this._disabled||t._zoom===t.getMinZoom())&&pt(this._zoomOutButton,i),(this._disabled||t._zoom===t.getMaxZoom())&&pt(this._zoomInButton,i)}});Le.mergeOptions({zoomControl:!0}),Le.addInitHook(function(){this.options.zoomControl&&(this.zoomControl=new ze,this.addControl(this.zoomControl))});var Me=Pe.extend({options:{position:"bottomleft",maxWidth:100,metric:!0,imperial:!0},onAdd:function(t){var i=ht("div","leaflet-control-scale"),e=this.options;return this._addScales(e,"leaflet-control-scale-line",i),t.on(e.updateWhenIdle?"moveend":"move",this._update,this),t.whenReady(this._update,this),i},onRemove:function(t){t.off(this.options.updateWhenIdle?"moveend":"move",this._update,this)},_addScales:function(t,i,e){t.metric&&(this._mScale=ht("div",i,e)),t.imperial&&(this._iScale=ht("div",i,e))},_update:function(){var t=this._map,i=t.getSize().y/2,e=t.distance(t.containerPointToLatLng([0,i]),t.containerPointToLatLng([this.options.maxWidth,i]));this._updateScales(e)},_updateScales:function(t){this.options.metric&&t&&this._updateMetric(t),this.options.imperial&&t&&this._updateImperial(t)},_updateMetric:function(t){var i=this._getRoundNum(t),e=i<1e3?i+" m":i/1e3+" km";this._updateScale(this._mScale,e,i/t)},_updateImperial:function(t){var i,e,n,o=3.2808399*t;o>5280?(i=o/5280,e=this._getRoundNum(i),this._updateScale(this._iScale,e+" mi",e/i)):(n=this._getRoundNum(o),this._updateScale(this._iScale,n+" ft",n/o))},_updateScale:function(t,i,e){t.style.width=Math.round(this.options.maxWidth*e)+"px",t.innerHTML=i},_getRoundNum:function(t){var i=Math.pow(10,(Math.floor(t)+"").length-1),e=t/i;return e=e>=10?10:e>=5?5:e>=3?3:e>=2?2:1,i*e}}),Ce=Pe.extend({options:{position:"bottomright",prefix:'<a href="https://leafletjs.com" title="A JS library for interactive maps">Leaflet</a>'},initialize:function(t){l(this,t),this._attributions={}},onAdd:function(t){t.attributionControl=this,this._container=ht("div","leaflet-control-attribution"),J(this._container);for(var i in t._layers)t._layers[i].getAttribution&&this.addAttribution(t._layers[i].getAttribution());return this._update(),this._container},setPrefix:function(t){return this.options.prefix=t,this._update(),this},addAttribution:function(t){return t?(this._attributions[t]||(this._attributions[t]=0),this._attributions[t]++,this._update(),this):this},removeAttribution:function(t){return t?(this._attributions[t]&&(this._attributions[t]--,this._update()),this):this},_update:function(){if(this._map){var t=[];for(var i in this._attributions)this._attributions[i]&&t.push(i);var e=[];this.options.prefix&&e.push(this.options.prefix),t.length&&e.push(t.join(", ")),this._container.innerHTML=e.join(" | ")}}});Le.mergeOptions({attributionControl:!0}),Le.addInitHook(function(){this.options.attributionControl&&(new Ce).addTo(this)});Pe.Layers=Te,Pe.Zoom=ze,Pe.Scale=Me,Pe.Attribution=Ce,be.layers=function(t,i,e){return new Te(t,i,e)},be.zoom=function(t){return new ze(t)},be.scale=function(t){return new Me(t)},be.attribution=function(t){return new Ce(t)};var Ze=v.extend({initialize:function(t){this._map=t},enable:function(){return this._enabled?this:(this._enabled=!0,this.addHooks(),this)},disable:function(){return this._enabled?(this._enabled=!1,this.removeHooks(),this):this},enabled:function(){return!!this._enabled}});Ze.addTo=function(t,i){return t.addHandler(i,this),this};var Se,Ee={Events:hi},ke=Vi?"touchstart mousedown":"mousedown",Ae={mousedown:"mouseup",touchstart:"touchend",pointerdown:"touchend",MSPointerDown:"touchend"},Ie={mousedown:"mousemove",touchstart:"touchmove",pointerdown:"touchmove",MSPointerDown:"touchmove"},Be=ui.extend({options:{clickTolerance:3},initialize:function(t,i,e,n){l(this,n),this._element=t,this._dragStartTarget=i||t,this._preventOutline=e},enable:function(){this._enabled||(V(this._dragStartTarget,ke,this._onDown,this),this._enabled=!0)},disable:function(){this._enabled&&(Be._dragging===this&&this.finishDrag(),q(this._dragStartTarget,ke,this._onDown,this),this._enabled=!1,this._moved=!1)},_onDown:function(t){if(!t._simulated&&this._enabled&&(this._moved=!1,!dt(this._element,"leaflet-zoom-anim")&&!(Be._dragging||t.shiftKey||1!==t.which&&1!==t.button&&!t.touches||(Be._dragging=this,this._preventOutline&&zt(this._element),bt(),mi(),this._moving)))){this.fire("down");var i=t.touches?t.touches[0]:t;this._startPoint=new x(i.clientX,i.clientY),V(document,Ie[t.type],this._onMove,this),V(document,Ae[t.type],this._onUp,this)}},_onMove:function(t){if(!t._simulated&&this._enabled)if(t.touches&&t.touches.length>1)this._moved=!0;else{var i=t.touches&&1===t.touches.length?t.touches[0]:t,e=new x(i.clientX,i.clientY).subtract(this._startPoint);(e.x||e.y)&&(Math.abs(e.x)+Math.abs(e.y)<this.options.clickTolerance||($(t),this._moved||(this.fire("dragstart"),this._moved=!0,this._startPos=Pt(this._element).subtract(e),pt(document.body,"leaflet-dragging"),this._lastTarget=t.target||t.srcElement,window.SVGElementInstance&&this._lastTarget instanceof SVGElementInstance&&(this._lastTarget=this._lastTarget.correspondingUseElement),pt(this._lastTarget,"leaflet-drag-target")),this._newPos=this._startPos.add(e),this._moving=!0,g(this._animRequest),this._lastEvent=t,this._animRequest=f(this._updatePosition,this,!0)))}},_updatePosition:function(){var t={originalEvent:this._lastEvent};this.fire("predrag",t),Lt(this._element,this._newPos),this.fire("drag",t)},_onUp:function(t){!t._simulated&&this._enabled&&this.finishDrag()},finishDrag:function(){mt(document.body,"leaflet-dragging"),this._lastTarget&&(mt(this._lastTarget,"leaflet-drag-target"),this._lastTarget=null);for(var t in Ie)q(document,Ie[t],this._onMove,this),q(document,Ae[t],this._onUp,this);Tt(),fi(),this._moved&&this._moving&&(g(this._animRequest),this.fire("dragend",{distance:this._newPos.distanceTo(this._startPos)})),this._moving=!1,Be._dragging=!1}}),Oe=(Object.freeze||Object)({simplify:Ct,pointToSegmentDistance:Zt,closestPointOnSegment:function(t,i,e){return Rt(t,i,e)},clipSegment:At,_getEdgeIntersection:It,_getBitCode:Bt,_sqClosestPointOnSegment:Rt,isFlat:Dt,_flat:Nt}),Re=(Object.freeze||Object)({clipPolygon:jt}),De={project:function(t){return new x(t.lng,t.lat)},unproject:function(t){return new M(t.y,t.x)},bounds:new P([-180,-90],[180,90])},Ne={R:6378137,R_MINOR:6356752.314245179,bounds:new P([-20037508.34279,-15496570.73972],[20037508.34279,18764656.23138]),project:function(t){var i=Math.PI/180,e=this.R,n=t.lat*i,o=this.R_MINOR/e,s=Math.sqrt(1-o*o),r=s*Math.sin(n),a=Math.tan(Math.PI/4-n/2)/Math.pow((1-r)/(1+r),s/2);return n=-e*Math.log(Math.max(a,1e-10)),new x(t.lng*i*e,n)},unproject:function(t){for(var i,e=180/Math.PI,n=this.R,o=this.R_MINOR/n,s=Math.sqrt(1-o*o),r=Math.exp(-t.y/n),a=Math.PI/2-2*Math.atan(r),h=0,u=.1;h<15&&Math.abs(u)>1e-7;h++)i=s*Math.sin(a),i=Math.pow((1-i)/(1+i),s/2),a+=u=Math.PI/2-2*Math.atan(r*i)-a;return new M(a*e,t.x*e/n)}},je=(Object.freeze||Object)({LonLat:De,Mercator:Ne,SphericalMercator:di}),We=i({},_i,{code:"EPSG:3395",projection:Ne,transformation:function(){var t=.5/(Math.PI*Ne.R);return S(t,.5,-t,.5)}()}),He=i({},_i,{code:"EPSG:4326",projection:De,transformation:S(1/180,1,-1/180,.5)}),Fe=i({},ci,{projection:De,transformation:S(1,0,-1,0),scale:function(t){return Math.pow(2,t)},zoom:function(t){return Math.log(t)/Math.LN2},distance:function(t,i){var e=i.lng-t.lng,n=i.lat-t.lat;return Math.sqrt(e*e+n*n)},infinite:!0});ci.Earth=_i,ci.EPSG3395=We,ci.EPSG3857=vi,ci.EPSG900913=yi,ci.EPSG4326=He,ci.Simple=Fe;var Ue=ui.extend({options:{pane:"overlayPane",attribution:null,bubblingMouseEvents:!0},addTo:function(t){return t.addLayer(this),this},remove:function(){return this.removeFrom(this._map||this._mapToAdd)},removeFrom:function(t){return t&&t.removeLayer(this),this},getPane:function(t){return this._map.getPane(t?this.options[t]||t:this.options.pane)},addInteractiveTarget:function(t){return this._map._targets[n(t)]=this,this},removeInteractiveTarget:function(t){return delete this._map._targets[n(t)],this},getAttribution:function(){return this.options.attribution},_layerAdd:function(t){var i=t.target;if(i.hasLayer(this)){if(this._map=i,this._zoomAnimated=i._zoomAnimated,this.getEvents){var e=this.getEvents();i.on(e,this),this.once("remove",function(){i.off(e,this)},this)}this.onAdd(i),this.getAttribution&&i.attributionControl&&i.attributionControl.addAttribution(this.getAttribution()),this.fire("add"),i.fire("layeradd",{layer:this})}}});Le.include({addLayer:function(t){if(!t._layerAdd)throw new Error("The provided object is not a Layer.");var i=n(t);return this._layers[i]?this:(this._layers[i]=t,t._mapToAdd=this,t.beforeAdd&&t.beforeAdd(this),this.whenReady(t._layerAdd,t),this)},removeLayer:function(t){var i=n(t);return this._layers[i]?(this._loaded&&t.onRemove(this),t.getAttribution&&this.attributionControl&&this.attributionControl.removeAttribution(t.getAttribution()),delete this._layers[i],this._loaded&&(this.fire("layerremove",{layer:t}),t.fire("remove")),t._map=t._mapToAdd=null,this):this},hasLayer:function(t){return!!t&&n(t)in this._layers},eachLayer:function(t,i){for(var e in this._layers)t.call(i,this._layers[e]);return this},_addLayers:function(t){for(var i=0,e=(t=t?ei(t)?t:[t]:[]).length;i<e;i++)this.addLayer(t[i])},_addZoomLimit:function(t){!isNaN(t.options.maxZoom)&&isNaN(t.options.minZoom)||(this._zoomBoundLayers[n(t)]=t,this._updateZoomLevels())},_removeZoomLimit:function(t){var i=n(t);this._zoomBoundLayers[i]&&(delete this._zoomBoundLayers[i],this._updateZoomLevels())},_updateZoomLevels:function(){var t=1/0,i=-1/0,e=this._getZoomSpan();for(var n in this._zoomBoundLayers){var o=this._zoomBoundLayers[n].options;t=void 0===o.minZoom?t:Math.min(t,o.minZoom),i=void 0===o.maxZoom?i:Math.max(i,o.maxZoom)}this._layersMaxZoom=i===-1/0?void 0:i,this._layersMinZoom=t===1/0?void 0:t,e!==this._getZoomSpan()&&this.fire("zoomlevelschange"),void 0===this.options.maxZoom&&this._layersMaxZoom&&this.getZoom()>this._layersMaxZoom&&this.setZoom(this._layersMaxZoom),void 0===this.options.minZoom&&this._layersMinZoom&&this.getZoom()<this._layersMinZoom&&this.setZoom(this._layersMinZoom)}});var Ve=Ue.extend({initialize:function(t,i){l(this,i),this._layers={};var e,n;if(t)for(e=0,n=t.length;e<n;e++)this.addLayer(t[e])},addLayer:function(t){var i=this.getLayerId(t);return this._layers[i]=t,this._map&&this._map.addLayer(t),this},removeLayer:function(t){var i=t in this._layers?t:this.getLayerId(t);return this._map&&this._layers[i]&&this._map.removeLayer(this._layers[i]),delete this._layers[i],this},hasLayer:function(t){return!!t&&(t in this._layers||this.getLayerId(t)in this._layers)},clearLayers:function(){return this.eachLayer(this.removeLayer,this)},invoke:function(t){var i,e,n=Array.prototype.slice.call(arguments,1);for(i in this._layers)(e=this._layers[i])[t]&&e[t].apply(e,n);return this},onAdd:function(t){this.eachLayer(t.addLayer,t)},onRemove:function(t){this.eachLayer(t.removeLayer,t)},eachLayer:function(t,i){for(var e in this._layers)t.call(i,this._layers[e]);return this},getLayer:function(t){return this._layers[t]},getLayers:function(){var t=[];return this.eachLayer(t.push,t),t},setZIndex:function(t){return this.invoke("setZIndex",t)},getLayerId:function(t){return n(t)}}),qe=Ve.extend({addLayer:function(t){return this.hasLayer(t)?this:(t.addEventParent(this),Ve.prototype.addLayer.call(this,t),this.fire("layeradd",{layer:t}))},removeLayer:function(t){return this.hasLayer(t)?(t in this._layers&&(t=this._layers[t]),t.removeEventParent(this),Ve.prototype.removeLayer.call(this,t),this.fire("layerremove",{layer:t})):this},setStyle:function(t){return this.invoke("setStyle",t)},bringToFront:function(){return this.invoke("bringToFront")},bringToBack:function(){return this.invoke("bringToBack")},getBounds:function(){var t=new T;for(var i in this._layers){var e=this._layers[i];t.extend(e.getBounds?e.getBounds():e.getLatLng())}return t}}),Ge=v.extend({options:{popupAnchor:[0,0],tooltipAnchor:[0,0]},initialize:function(t){l(this,t)},createIcon:function(t){return this._createIcon("icon",t)},createShadow:function(t){return this._createIcon("shadow",t)},_createIcon:function(t,i){var e=this._getIconUrl(t);if(!e){if("icon"===t)throw new Error("iconUrl not set in Icon options (see the docs).");return null}var n=this._createImg(e,i&&"IMG"===i.tagName?i:null);return this._setIconStyles(n,t),n},_setIconStyles:function(t,i){var e=this.options,n=e[i+"Size"];"number"==typeof n&&(n=[n,n]);var o=w(n),s=w("shadow"===i&&e.shadowAnchor||e.iconAnchor||o&&o.divideBy(2,!0));t.className="leaflet-marker-"+i+" "+(e.className||""),s&&(t.style.marginLeft=-s.x+"px",t.style.marginTop=-s.y+"px"),o&&(t.style.width=o.x+"px",t.style.height=o.y+"px")},_createImg:function(t,i){return i=i||document.createElement("img"),i.src=t,i},_getIconUrl:function(t){return Ki&&this.options[t+"RetinaUrl"]||this.options[t+"Url"]}}),Ke=Ge.extend({options:{iconUrl:"marker-icon.png",iconRetinaUrl:"marker-icon-2x.png",shadowUrl:"marker-shadow.png",iconSize:[25,41],iconAnchor:[12,41],popupAnchor:[1,-34],tooltipAnchor:[16,-28],shadowSize:[41,41]},_getIconUrl:function(t){return Ke.imagePath||(Ke.imagePath=this._detectIconPath()),(this.options.imagePath||Ke.imagePath)+Ge.prototype._getIconUrl.call(this,t)},_detectIconPath:function(){var t=ht("div","leaflet-default-icon-path",document.body),i=at(t,"background-image")||at(t,"backgroundImage");return document.body.removeChild(t),i=null===i||0!==i.indexOf("url")?"":i.replace(/^url\(["']?/,"").replace(/marker-icon\.png["']?\)$/,"")}}),Ye=Ze.extend({initialize:function(t){this._marker=t},addHooks:function(){var t=this._marker._icon;this._draggable||(this._draggable=new Be(t,t,!0)),this._draggable.on({dragstart:this._onDragStart,predrag:this._onPreDrag,drag:this._onDrag,dragend:this._onDragEnd},this).enable(),pt(t,"leaflet-marker-draggable")},removeHooks:function(){this._draggable.off({dragstart:this._onDragStart,predrag:this._onPreDrag,drag:this._onDrag,dragend:this._onDragEnd},this).disable(),this._marker._icon&&mt(this._marker._icon,"leaflet-marker-draggable")},moved:function(){return this._draggable&&this._draggable._moved},_adjustPan:function(t){var i=this._marker,e=i._map,n=this._marker.options.autoPanSpeed,o=this._marker.options.autoPanPadding,s=L.DomUtil.getPosition(i._icon),r=e.getPixelBounds(),a=e.getPixelOrigin(),h=b(r.min._subtract(a).add(o),r.max._subtract(a).subtract(o));if(!h.contains(s)){var u=w((Math.max(h.max.x,s.x)-h.max.x)/(r.max.x-h.max.x)-(Math.min(h.min.x,s.x)-h.min.x)/(r.min.x-h.min.x),(Math.max(h.max.y,s.y)-h.max.y)/(r.max.y-h.max.y)-(Math.min(h.min.y,s.y)-h.min.y)/(r.min.y-h.min.y)).multiplyBy(n);e.panBy(u,{animate:!1}),this._draggable._newPos._add(u),this._draggable._startPos._add(u),L.DomUtil.setPosition(i._icon,this._draggable._newPos),this._onDrag(t),this._panRequest=f(this._adjustPan.bind(this,t))}},_onDragStart:function(){this._oldLatLng=this._marker.getLatLng(),this._marker.closePopup().fire("movestart").fire("dragstart")},_onPreDrag:function(t){this._marker.options.autoPan&&(g(this._panRequest),this._panRequest=f(this._adjustPan.bind(this,t)))},_onDrag:function(t){var i=this._marker,e=i._shadow,n=Pt(i._icon),o=i._map.layerPointToLatLng(n);e&&Lt(e,n),i._latlng=o,t.latlng=o,t.oldLatLng=this._oldLatLng,i.fire("move",t).fire("drag",t)},_onDragEnd:function(t){g(this._panRequest),delete this._oldLatLng,this._marker.fire("moveend").fire("dragend",t)}}),Xe=Ue.extend({options:{icon:new Ke,interactive:!0,draggable:!1,autoPan:!1,autoPanPadding:[50,50],autoPanSpeed:10,keyboard:!0,title:"",alt:"",zIndexOffset:0,opacity:1,riseOnHover:!1,riseOffset:250,pane:"markerPane",bubblingMouseEvents:!1},initialize:function(t,i){l(this,i),this._latlng=C(t)},onAdd:function(t){this._zoomAnimated=this._zoomAnimated&&t.options.markerZoomAnimation,this._zoomAnimated&&t.on("zoomanim",this._animateZoom,this),this._initIcon(),this.update()},onRemove:function(t){this.dragging&&this.dragging.enabled()&&(this.options.draggable=!0,this.dragging.removeHooks()),delete this.dragging,this._zoomAnimated&&t.off("zoomanim",this._animateZoom,this),this._removeIcon(),this._removeShadow()},getEvents:function(){return{zoom:this.update,viewreset:this.update}},getLatLng:function(){return this._latlng},setLatLng:function(t){var i=this._latlng;return this._latlng=C(t),this.update(),this.fire("move",{oldLatLng:i,latlng:this._latlng})},setZIndexOffset:function(t){return this.options.zIndexOffset=t,this.update()},setIcon:function(t){return this.options.icon=t,this._map&&(this._initIcon(),this.update()),this._popup&&this.bindPopup(this._popup,this._popup.options),this},getElement:function(){return this._icon},update:function(){if(this._icon&&this._map){var t=this._map.latLngToLayerPoint(this._latlng).round();this._setPos(t)}return this},_initIcon:function(){var t=this.options,i="leaflet-zoom-"+(this._zoomAnimated?"animated":"hide"),e=t.icon.createIcon(this._icon),n=!1;e!==this._icon&&(this._icon&&this._removeIcon(),n=!0,t.title&&(e.title=t.title),"IMG"===e.tagName&&(e.alt=t.alt||"")),pt(e,i),t.keyboard&&(e.tabIndex="0"),this._icon=e,t.riseOnHover&&this.on({mouseover:this._bringToFront,mouseout:this._resetZIndex});var o=t.icon.createShadow(this._shadow),s=!1;o!==this._shadow&&(this._removeShadow(),s=!0),o&&(pt(o,i),o.alt=""),this._shadow=o,t.opacity<1&&this._updateOpacity(),n&&this.getPane().appendChild(this._icon),this._initInteraction(),o&&s&&this.getPane("shadowPane").appendChild(this._shadow)},_removeIcon:function(){this.options.riseOnHover&&this.off({mouseover:this._bringToFront,mouseout:this._resetZIndex}),ut(this._icon),this.removeInteractiveTarget(this._icon),this._icon=null},_removeShadow:function(){this._shadow&&ut(this._shadow),this._shadow=null},_setPos:function(t){Lt(this._icon,t),this._shadow&&Lt(this._shadow,t),this._zIndex=t.y+this.options.zIndexOffset,this._resetZIndex()},_updateZIndex:function(t){this._icon.style.zIndex=this._zIndex+t},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center).round();this._setPos(i)},_initInteraction:function(){if(this.options.interactive&&(pt(this._icon,"leaflet-interactive"),this.addInteractiveTarget(this._icon),Ye)){var t=this.options.draggable;this.dragging&&(t=this.dragging.enabled(),this.dragging.disable()),this.dragging=new Ye(this),t&&this.dragging.enable()}},setOpacity:function(t){return this.options.opacity=t,this._map&&this._updateOpacity(),this},_updateOpacity:function(){var t=this.options.opacity;vt(this._icon,t),this._shadow&&vt(this._shadow,t)},_bringToFront:function(){this._updateZIndex(this.options.riseOffset)},_resetZIndex:function(){this._updateZIndex(0)},_getPopupAnchor:function(){return this.options.icon.options.popupAnchor},_getTooltipAnchor:function(){return this.options.icon.options.tooltipAnchor}}),Je=Ue.extend({options:{stroke:!0,color:"#3388ff",weight:3,opacity:1,lineCap:"round",lineJoin:"round",dashArray:null,dashOffset:null,fill:!1,fillColor:null,fillOpacity:.2,fillRule:"evenodd",interactive:!0,bubblingMouseEvents:!0},beforeAdd:function(t){this._renderer=t.getRenderer(this)},onAdd:function(){this._renderer._initPath(this),this._reset(),this._renderer._addPath(this)},onRemove:function(){this._renderer._removePath(this)},redraw:function(){return this._map&&this._renderer._updatePath(this),this},setStyle:function(t){return l(this,t),this._renderer&&this._renderer._updateStyle(this),this},bringToFront:function(){return this._renderer&&this._renderer._bringToFront(this),this},bringToBack:function(){return this._renderer&&this._renderer._bringToBack(this),this},getElement:function(){return this._path},_reset:function(){this._project(),this._update()},_clickTolerance:function(){return(this.options.stroke?this.options.weight/2:0)+this._renderer.options.tolerance}}),$e=Je.extend({options:{fill:!0,radius:10},initialize:function(t,i){l(this,i),this._latlng=C(t),this._radius=this.options.radius},setLatLng:function(t){return this._latlng=C(t),this.redraw(),this.fire("move",{latlng:this._latlng})},getLatLng:function(){return this._latlng},setRadius:function(t){return this.options.radius=this._radius=t,this.redraw()},getRadius:function(){return this._radius},setStyle:function(t){var i=t&&t.radius||this._radius;return Je.prototype.setStyle.call(this,t),this.setRadius(i),this},_project:function(){this._point=this._map.latLngToLayerPoint(this._latlng),this._updateBounds()},_updateBounds:function(){var t=this._radius,i=this._radiusY||t,e=this._clickTolerance(),n=[t+e,i+e];this._pxBounds=new P(this._point.subtract(n),this._point.add(n))},_update:function(){this._map&&this._updatePath()},_updatePath:function(){this._renderer._updateCircle(this)},_empty:function(){return this._radius&&!this._renderer._bounds.intersects(this._pxBounds)},_containsPoint:function(t){return t.distanceTo(this._point)<=this._radius+this._clickTolerance()}}),Qe=$e.extend({initialize:function(t,e,n){if("number"==typeof e&&(e=i({},n,{radius:e})),l(this,e),this._latlng=C(t),isNaN(this.options.radius))throw new Error("Circle radius cannot be NaN");this._mRadius=this.options.radius},setRadius:function(t){return this._mRadius=t,this.redraw()},getRadius:function(){return this._mRadius},getBounds:function(){var t=[this._radius,this._radiusY||this._radius];return new T(this._map.layerPointToLatLng(this._point.subtract(t)),this._map.layerPointToLatLng(this._point.add(t)))},setStyle:Je.prototype.setStyle,_project:function(){var t=this._latlng.lng,i=this._latlng.lat,e=this._map,n=e.options.crs;if(n.distance===_i.distance){var o=Math.PI/180,s=this._mRadius/_i.R/o,r=e.project([i+s,t]),a=e.project([i-s,t]),h=r.add(a).divideBy(2),u=e.unproject(h).lat,l=Math.acos((Math.cos(s*o)-Math.sin(i*o)*Math.sin(u*o))/(Math.cos(i*o)*Math.cos(u*o)))/o;(isNaN(l)||0===l)&&(l=s/Math.cos(Math.PI/180*i)),this._point=h.subtract(e.getPixelOrigin()),this._radius=isNaN(l)?0:h.x-e.project([u,t-l]).x,this._radiusY=h.y-r.y}else{var c=n.unproject(n.project(this._latlng).subtract([this._mRadius,0]));this._point=e.latLngToLayerPoint(this._latlng),this._radius=this._point.x-e.latLngToLayerPoint(c).x}this._updateBounds()}}),tn=Je.extend({options:{smoothFactor:1,noClip:!1},initialize:function(t,i){l(this,i),this._setLatLngs(t)},getLatLngs:function(){return this._latlngs},setLatLngs:function(t){return this._setLatLngs(t),this.redraw()},isEmpty:function(){return!this._latlngs.length},closestLayerPoint:function(t){for(var i,e,n=1/0,o=null,s=Rt,r=0,a=this._parts.length;r<a;r++)for(var h=this._parts[r],u=1,l=h.length;u<l;u++){var c=s(t,i=h[u-1],e=h[u],!0);c<n&&(n=c,o=s(t,i,e))}return o&&(o.distance=Math.sqrt(n)),o},getCenter:function(){if(!this._map)throw new Error("Must add layer to map before using getCenter()");var t,i,e,n,o,s,r,a=this._rings[0],h=a.length;if(!h)return null;for(t=0,i=0;t<h-1;t++)i+=a[t].distanceTo(a[t+1])/2;if(0===i)return this._map.layerPointToLatLng(a[0]);for(t=0,n=0;t<h-1;t++)if(o=a[t],s=a[t+1],e=o.distanceTo(s),(n+=e)>i)return r=(n-i)/e,this._map.layerPointToLatLng([s.x-r*(s.x-o.x),s.y-r*(s.y-o.y)])},getBounds:function(){return this._bounds},addLatLng:function(t,i){return i=i||this._defaultShape(),t=C(t),i.push(t),this._bounds.extend(t),this.redraw()},_setLatLngs:function(t){this._bounds=new T,this._latlngs=this._convertLatLngs(t)},_defaultShape:function(){return Dt(this._latlngs)?this._latlngs:this._latlngs[0]},_convertLatLngs:function(t){for(var i=[],e=Dt(t),n=0,o=t.length;n<o;n++)e?(i[n]=C(t[n]),this._bounds.extend(i[n])):i[n]=this._convertLatLngs(t[n]);return i},_project:function(){var t=new P;this._rings=[],this._projectLatlngs(this._latlngs,this._rings,t);var i=this._clickTolerance(),e=new x(i,i);this._bounds.isValid()&&t.isValid()&&(t.min._subtract(e),t.max._add(e),this._pxBounds=t)},_projectLatlngs:function(t,i,e){var n,o,s=t[0]instanceof M,r=t.length;if(s){for(o=[],n=0;n<r;n++)o[n]=this._map.latLngToLayerPoint(t[n]),e.extend(o[n]);i.push(o)}else for(n=0;n<r;n++)this._projectLatlngs(t[n],i,e)},_clipPoints:function(){var t=this._renderer._bounds;if(this._parts=[],this._pxBounds&&this._pxBounds.intersects(t))if(this.options.noClip)this._parts=this._rings;else{var i,e,n,o,s,r,a,h=this._parts;for(i=0,n=0,o=this._rings.length;i<o;i++)for(e=0,s=(a=this._rings[i]).length;e<s-1;e++)(r=At(a[e],a[e+1],t,e,!0))&&(h[n]=h[n]||[],h[n].push(r[0]),r[1]===a[e+1]&&e!==s-2||(h[n].push(r[1]),n++))}},_simplifyPoints:function(){for(var t=this._parts,i=this.options.smoothFactor,e=0,n=t.length;e<n;e++)t[e]=Ct(t[e],i)},_update:function(){this._map&&(this._clipPoints(),this._simplifyPoints(),this._updatePath())},_updatePath:function(){this._renderer._updatePoly(this)},_containsPoint:function(t,i){var e,n,o,s,r,a,h=this._clickTolerance();if(!this._pxBounds||!this._pxBounds.contains(t))return!1;for(e=0,s=this._parts.length;e<s;e++)for(n=0,o=(r=(a=this._parts[e]).length)-1;n<r;o=n++)if((i||0!==n)&&Zt(t,a[o],a[n])<=h)return!0;return!1}});tn._flat=Nt;var en=tn.extend({options:{fill:!0},isEmpty:function(){return!this._latlngs.length||!this._latlngs[0].length},getCenter:function(){if(!this._map)throw new Error("Must add layer to map before using getCenter()");var t,i,e,n,o,s,r,a,h,u=this._rings[0],l=u.length;if(!l)return null;for(s=r=a=0,t=0,i=l-1;t<l;i=t++)e=u[t],n=u[i],o=e.y*n.x-n.y*e.x,r+=(e.x+n.x)*o,a+=(e.y+n.y)*o,s+=3*o;return h=0===s?u[0]:[r/s,a/s],this._map.layerPointToLatLng(h)},_convertLatLngs:function(t){var i=tn.prototype._convertLatLngs.call(this,t),e=i.length;return e>=2&&i[0]instanceof M&&i[0].equals(i[e-1])&&i.pop(),i},_setLatLngs:function(t){tn.prototype._setLatLngs.call(this,t),Dt(this._latlngs)&&(this._latlngs=[this._latlngs])},_defaultShape:function(){return Dt(this._latlngs[0])?this._latlngs[0]:this._latlngs[0][0]},_clipPoints:function(){var t=this._renderer._bounds,i=this.options.weight,e=new x(i,i);if(t=new P(t.min.subtract(e),t.max.add(e)),this._parts=[],this._pxBounds&&this._pxBounds.intersects(t))if(this.options.noClip)this._parts=this._rings;else for(var n,o=0,s=this._rings.length;o<s;o++)(n=jt(this._rings[o],t,!0)).length&&this._parts.push(n)},_updatePath:function(){this._renderer._updatePoly(this,!0)},_containsPoint:function(t){var i,e,n,o,s,r,a,h,u=!1;if(!this._pxBounds.contains(t))return!1;for(o=0,a=this._parts.length;o<a;o++)for(s=0,r=(h=(i=this._parts[o]).length)-1;s<h;r=s++)e=i[s],n=i[r],e.y>t.y!=n.y>t.y&&t.x<(n.x-e.x)*(t.y-e.y)/(n.y-e.y)+e.x&&(u=!u);return u||tn.prototype._containsPoint.call(this,t,!0)}}),nn=qe.extend({initialize:function(t,i){l(this,i),this._layers={},t&&this.addData(t)},addData:function(t){var i,e,n,o=ei(t)?t:t.features;if(o){for(i=0,e=o.length;i<e;i++)((n=o[i]).geometries||n.geometry||n.features||n.coordinates)&&this.addData(n);return this}var s=this.options;if(s.filter&&!s.filter(t))return this;var r=Wt(t,s);return r?(r.feature=Gt(t),r.defaultOptions=r.options,this.resetStyle(r),s.onEachFeature&&s.onEachFeature(t,r),this.addLayer(r)):this},resetStyle:function(t){return t.options=i({},t.defaultOptions),this._setLayerStyle(t,this.options.style),this},setStyle:function(t){return this.eachLayer(function(i){this._setLayerStyle(i,t)},this)},_setLayerStyle:function(t,i){"function"==typeof i&&(i=i(t.feature)),t.setStyle&&t.setStyle(i)}}),on={toGeoJSON:function(t){return qt(this,{type:"Point",coordinates:Ut(this.getLatLng(),t)})}};Xe.include(on),Qe.include(on),$e.include(on),tn.include({toGeoJSON:function(t){var i=!Dt(this._latlngs),e=Vt(this._latlngs,i?1:0,!1,t);return qt(this,{type:(i?"Multi":"")+"LineString",coordinates:e})}}),en.include({toGeoJSON:function(t){var i=!Dt(this._latlngs),e=i&&!Dt(this._latlngs[0]),n=Vt(this._latlngs,e?2:i?1:0,!0,t);return i||(n=[n]),qt(this,{type:(e?"Multi":"")+"Polygon",coordinates:n})}}),Ve.include({toMultiPoint:function(t){var i=[];return this.eachLayer(function(e){i.push(e.toGeoJSON(t).geometry.coordinates)}),qt(this,{type:"MultiPoint",coordinates:i})},toGeoJSON:function(t){var i=this.feature&&this.feature.geometry&&this.feature.geometry.type;if("MultiPoint"===i)return this.toMultiPoint(t);var e="GeometryCollection"===i,n=[];return this.eachLayer(function(i){if(i.toGeoJSON){var o=i.toGeoJSON(t);if(e)n.push(o.geometry);else{var s=Gt(o);"FeatureCollection"===s.type?n.push.apply(n,s.features):n.push(s)}}}),e?qt(this,{geometries:n,type:"GeometryCollection"}):{type:"FeatureCollection",features:n}}});var sn=Kt,rn=Ue.extend({options:{opacity:1,alt:"",interactive:!1,crossOrigin:!1,errorOverlayUrl:"",zIndex:1,className:""},initialize:function(t,i,e){this._url=t,this._bounds=z(i),l(this,e)},onAdd:function(){this._image||(this._initImage(),this.options.opacity<1&&this._updateOpacity()),this.options.interactive&&(pt(this._image,"leaflet-interactive"),this.addInteractiveTarget(this._image)),this.getPane().appendChild(this._image),this._reset()},onRemove:function(){ut(this._image),this.options.interactive&&this.removeInteractiveTarget(this._image)},setOpacity:function(t){return this.options.opacity=t,this._image&&this._updateOpacity(),this},setStyle:function(t){return t.opacity&&this.setOpacity(t.opacity),this},bringToFront:function(){return this._map&&ct(this._image),this},bringToBack:function(){return this._map&&_t(this._image),this},setUrl:function(t){return this._url=t,this._image&&(this._image.src=t),this},setBounds:function(t){return this._bounds=z(t),this._map&&this._reset(),this},getEvents:function(){var t={zoom:this._reset,viewreset:this._reset};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},getBounds:function(){return this._bounds},getElement:function(){return this._image},_initImage:function(){var t="IMG"===this._url.tagName,i=this._image=t?this._url:ht("img");pt(i,"leaflet-image-layer"),this._zoomAnimated&&pt(i,"leaflet-zoom-animated"),this.options.className&&pt(i,this.options.className),i.onselectstart=r,i.onmousemove=r,i.onload=e(this.fire,this,"load"),i.onerror=e(this._overlayOnError,this,"error"),this.options.crossOrigin&&(i.crossOrigin=""),this.options.zIndex&&this._updateZIndex(),t?this._url=i.src:(i.src=this._url,i.alt=this.options.alt)},_animateZoom:function(t){var i=this._map.getZoomScale(t.zoom),e=this._map._latLngBoundsToNewLayerBounds(this._bounds,t.zoom,t.center).min;wt(this._image,e,i)},_reset:function(){var t=this._image,i=new P(this._map.latLngToLayerPoint(this._bounds.getNorthWest()),this._map.latLngToLayerPoint(this._bounds.getSouthEast())),e=i.getSize();Lt(t,i.min),t.style.width=e.x+"px",t.style.height=e.y+"px"},_updateOpacity:function(){vt(this._image,this.options.opacity)},_updateZIndex:function(){this._image&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._image.style.zIndex=this.options.zIndex)},_overlayOnError:function(){this.fire("error");var t=this.options.errorOverlayUrl;t&&this._url!==t&&(this._url=t,this._image.src=t)}}),an=rn.extend({options:{autoplay:!0,loop:!0},_initImage:function(){var t="VIDEO"===this._url.tagName,i=this._image=t?this._url:ht("video");if(pt(i,"leaflet-image-layer"),this._zoomAnimated&&pt(i,"leaflet-zoom-animated"),i.onselectstart=r,i.onmousemove=r,i.onloadeddata=e(this.fire,this,"load"),t){for(var n=i.getElementsByTagName("source"),o=[],s=0;s<n.length;s++)o.push(n[s].src);this._url=n.length>0?o:[i.src]}else{ei(this._url)||(this._url=[this._url]),i.autoplay=!!this.options.autoplay,i.loop=!!this.options.loop;for(var a=0;a<this._url.length;a++){var h=ht("source");h.src=this._url[a],i.appendChild(h)}}}}),hn=Ue.extend({options:{offset:[0,7],className:"",pane:"popupPane"},initialize:function(t,i){l(this,t),this._source=i},onAdd:function(t){this._zoomAnimated=t._zoomAnimated,this._container||this._initLayout(),t._fadeAnimated&&vt(this._container,0),clearTimeout(this._removeTimeout),this.getPane().appendChild(this._container),this.update(),t._fadeAnimated&&vt(this._container,1),this.bringToFront()},onRemove:function(t){t._fadeAnimated?(vt(this._container,0),this._removeTimeout=setTimeout(e(ut,void 0,this._container),200)):ut(this._container)},getLatLng:function(){return this._latlng},setLatLng:function(t){return this._latlng=C(t),this._map&&(this._updatePosition(),this._adjustPan()),this},getContent:function(){return this._content},setContent:function(t){return this._content=t,this.update(),this},getElement:function(){return this._container},update:function(){this._map&&(this._container.style.visibility="hidden",this._updateContent(),this._updateLayout(),this._updatePosition(),this._container.style.visibility="",this._adjustPan())},getEvents:function(){var t={zoom:this._updatePosition,viewreset:this._updatePosition};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},isOpen:function(){return!!this._map&&this._map.hasLayer(this)},bringToFront:function(){return this._map&&ct(this._container),this},bringToBack:function(){return this._map&&_t(this._container),this},_updateContent:function(){if(this._content){var t=this._contentNode,i="function"==typeof this._content?this._content(this._source||this):this._content;if("string"==typeof i)t.innerHTML=i;else{for(;t.hasChildNodes();)t.removeChild(t.firstChild);t.appendChild(i)}this.fire("contentupdate")}},_updatePosition:function(){if(this._map){var t=this._map.latLngToLayerPoint(this._latlng),i=w(this.options.offset),e=this._getAnchor();this._zoomAnimated?Lt(this._container,t.add(e)):i=i.add(t).add(e);var n=this._containerBottom=-i.y,o=this._containerLeft=-Math.round(this._containerWidth/2)+i.x;this._container.style.bottom=n+"px",this._container.style.left=o+"px"}},_getAnchor:function(){return[0,0]}}),un=hn.extend({options:{maxWidth:300,minWidth:50,maxHeight:null,autoPan:!0,autoPanPaddingTopLeft:null,autoPanPaddingBottomRight:null,autoPanPadding:[5,5],keepInView:!1,closeButton:!0,autoClose:!0,closeOnEscapeKey:!0,className:""},openOn:function(t){return t.openPopup(this),this},onAdd:function(t){hn.prototype.onAdd.call(this,t),t.fire("popupopen",{popup:this}),this._source&&(this._source.fire("popupopen",{popup:this},!0),this._source instanceof Je||this._source.on("preclick",Y))},onRemove:function(t){hn.prototype.onRemove.call(this,t),t.fire("popupclose",{popup:this}),this._source&&(this._source.fire("popupclose",{popup:this},!0),this._source instanceof Je||this._source.off("preclick",Y))},getEvents:function(){var t=hn.prototype.getEvents.call(this);return(void 0!==this.options.closeOnClick?this.options.closeOnClick:this._map.options.closePopupOnClick)&&(t.preclick=this._close),this.options.keepInView&&(t.moveend=this._adjustPan),t},_close:function(){this._map&&this._map.closePopup(this)},_initLayout:function(){var t="leaflet-popup",i=this._container=ht("div",t+" "+(this.options.className||"")+" leaflet-zoom-animated"),e=this._wrapper=ht("div",t+"-content-wrapper",i);if(this._contentNode=ht("div",t+"-content",e),J(e),X(this._contentNode),V(e,"contextmenu",Y),this._tipContainer=ht("div",t+"-tip-container",i),this._tip=ht("div",t+"-tip",this._tipContainer),this.options.closeButton){var n=this._closeButton=ht("a",t+"-close-button",i);n.href="#close",n.innerHTML="&#215;",V(n,"click",this._onCloseButtonClick,this)}},_updateLayout:function(){var t=this._contentNode,i=t.style;i.width="",i.whiteSpace="nowrap";var e=t.offsetWidth;e=Math.min(e,this.options.maxWidth),e=Math.max(e,this.options.minWidth),i.width=e+1+"px",i.whiteSpace="",i.height="";var n=t.offsetHeight,o=this.options.maxHeight;o&&n>o?(i.height=o+"px",pt(t,"leaflet-popup-scrolled")):mt(t,"leaflet-popup-scrolled"),this._containerWidth=this._container.offsetWidth},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center),e=this._getAnchor();Lt(this._container,i.add(e))},_adjustPan:function(){if(!(!this.options.autoPan||this._map._panAnim&&this._map._panAnim._inProgress)){var t=this._map,i=parseInt(at(this._container,"marginBottom"),10)||0,e=this._container.offsetHeight+i,n=this._containerWidth,o=new x(this._containerLeft,-e-this._containerBottom);o._add(Pt(this._container));var s=t.layerPointToContainerPoint(o),r=w(this.options.autoPanPadding),a=w(this.options.autoPanPaddingTopLeft||r),h=w(this.options.autoPanPaddingBottomRight||r),u=t.getSize(),l=0,c=0;s.x+n+h.x>u.x&&(l=s.x+n-u.x+h.x),s.x-l-a.x<0&&(l=s.x-a.x),s.y+e+h.y>u.y&&(c=s.y+e-u.y+h.y),s.y-c-a.y<0&&(c=s.y-a.y),(l||c)&&t.fire("autopanstart").panBy([l,c])}},_onCloseButtonClick:function(t){this._close(),Q(t)},_getAnchor:function(){return w(this._source&&this._source._getPopupAnchor?this._source._getPopupAnchor():[0,0])}});Le.mergeOptions({closePopupOnClick:!0}),Le.include({openPopup:function(t,i,e){return t instanceof un||(t=new un(e).setContent(t)),i&&t.setLatLng(i),this.hasLayer(t)?this:(this._popup&&this._popup.options.autoClose&&this.closePopup(),this._popup=t,this.addLayer(t))},closePopup:function(t){return t&&t!==this._popup||(t=this._popup,this._popup=null),t&&this.removeLayer(t),this}}),Ue.include({bindPopup:function(t,i){return t instanceof un?(l(t,i),this._popup=t,t._source=this):(this._popup&&!i||(this._popup=new un(i,this)),this._popup.setContent(t)),this._popupHandlersAdded||(this.on({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!0),this},unbindPopup:function(){return this._popup&&(this.off({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!1,this._popup=null),this},openPopup:function(t,i){if(t instanceof Ue||(i=t,t=this),t instanceof qe)for(var e in this._layers){t=this._layers[e];break}return i||(i=t.getCenter?t.getCenter():t.getLatLng()),this._popup&&this._map&&(this._popup._source=t,this._popup.update(),this._map.openPopup(this._popup,i)),this},closePopup:function(){return this._popup&&this._popup._close(),this},togglePopup:function(t){return this._popup&&(this._popup._map?this.closePopup():this.openPopup(t)),this},isPopupOpen:function(){return!!this._popup&&this._popup.isOpen()},setPopupContent:function(t){return this._popup&&this._popup.setContent(t),this},getPopup:function(){return this._popup},_openPopup:function(t){var i=t.layer||t.target;this._popup&&this._map&&(Q(t),i instanceof Je?this.openPopup(t.layer||t.target,t.latlng):this._map.hasLayer(this._popup)&&this._popup._source===i?this.closePopup():this.openPopup(i,t.latlng))},_movePopup:function(t){this._popup.setLatLng(t.latlng)},_onKeyPress:function(t){13===t.originalEvent.keyCode&&this._openPopup(t)}});var ln=hn.extend({options:{pane:"tooltipPane",offset:[0,0],direction:"auto",permanent:!1,sticky:!1,interactive:!1,opacity:.9},onAdd:function(t){hn.prototype.onAdd.call(this,t),this.setOpacity(this.options.opacity),t.fire("tooltipopen",{tooltip:this}),this._source&&this._source.fire("tooltipopen",{tooltip:this},!0)},onRemove:function(t){hn.prototype.onRemove.call(this,t),t.fire("tooltipclose",{tooltip:this}),this._source&&this._source.fire("tooltipclose",{tooltip:this},!0)},getEvents:function(){var t=hn.prototype.getEvents.call(this);return Vi&&!this.options.permanent&&(t.preclick=this._close),t},_close:function(){this._map&&this._map.closeTooltip(this)},_initLayout:function(){var t="leaflet-tooltip "+(this.options.className||"")+" leaflet-zoom-"+(this._zoomAnimated?"animated":"hide");this._contentNode=this._container=ht("div",t)},_updateLayout:function(){},_adjustPan:function(){},_setPosition:function(t){var i=this._map,e=this._container,n=i.latLngToContainerPoint(i.getCenter()),o=i.layerPointToContainerPoint(t),s=this.options.direction,r=e.offsetWidth,a=e.offsetHeight,h=w(this.options.offset),u=this._getAnchor();"top"===s?t=t.add(w(-r/2+h.x,-a+h.y+u.y,!0)):"bottom"===s?t=t.subtract(w(r/2-h.x,-h.y,!0)):"center"===s?t=t.subtract(w(r/2+h.x,a/2-u.y+h.y,!0)):"right"===s||"auto"===s&&o.x<n.x?(s="right",t=t.add(w(h.x+u.x,u.y-a/2+h.y,!0))):(s="left",t=t.subtract(w(r+u.x-h.x,a/2-u.y-h.y,!0))),mt(e,"leaflet-tooltip-right"),mt(e,"leaflet-tooltip-left"),mt(e,"leaflet-tooltip-top"),mt(e,"leaflet-tooltip-bottom"),pt(e,"leaflet-tooltip-"+s),Lt(e,t)},_updatePosition:function(){var t=this._map.latLngToLayerPoint(this._latlng);this._setPosition(t)},setOpacity:function(t){this.options.opacity=t,this._container&&vt(this._container,t)},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center);this._setPosition(i)},_getAnchor:function(){return w(this._source&&this._source._getTooltipAnchor&&!this.options.sticky?this._source._getTooltipAnchor():[0,0])}});Le.include({openTooltip:function(t,i,e){return t instanceof ln||(t=new ln(e).setContent(t)),i&&t.setLatLng(i),this.hasLayer(t)?this:this.addLayer(t)},closeTooltip:function(t){return t&&this.removeLayer(t),this}}),Ue.include({bindTooltip:function(t,i){return t instanceof ln?(l(t,i),this._tooltip=t,t._source=this):(this._tooltip&&!i||(this._tooltip=new ln(i,this)),this._tooltip.setContent(t)),this._initTooltipInteractions(),this._tooltip.options.permanent&&this._map&&this._map.hasLayer(this)&&this.openTooltip(),this},unbindTooltip:function(){return this._tooltip&&(this._initTooltipInteractions(!0),this.closeTooltip(),this._tooltip=null),this},_initTooltipInteractions:function(t){if(t||!this._tooltipHandlersAdded){var i=t?"off":"on",e={remove:this.closeTooltip,move:this._moveTooltip};this._tooltip.options.permanent?e.add=this._openTooltip:(e.mouseover=this._openTooltip,e.mouseout=this.closeTooltip,this._tooltip.options.sticky&&(e.mousemove=this._moveTooltip),Vi&&(e.click=this._openTooltip)),this[i](e),this._tooltipHandlersAdded=!t}},openTooltip:function(t,i){if(t instanceof Ue||(i=t,t=this),t instanceof qe)for(var e in this._layers){t=this._layers[e];break}return i||(i=t.getCenter?t.getCenter():t.getLatLng()),this._tooltip&&this._map&&(this._tooltip._source=t,this._tooltip.update(),this._map.openTooltip(this._tooltip,i),this._tooltip.options.interactive&&this._tooltip._container&&(pt(this._tooltip._container,"leaflet-clickable"),this.addInteractiveTarget(this._tooltip._container))),this},closeTooltip:function(){return this._tooltip&&(this._tooltip._close(),this._tooltip.options.interactive&&this._tooltip._container&&(mt(this._tooltip._container,"leaflet-clickable"),this.removeInteractiveTarget(this._tooltip._container))),this},toggleTooltip:function(t){return this._tooltip&&(this._tooltip._map?this.closeTooltip():this.openTooltip(t)),this},isTooltipOpen:function(){return this._tooltip.isOpen()},setTooltipContent:function(t){return this._tooltip&&this._tooltip.setContent(t),this},getTooltip:function(){return this._tooltip},_openTooltip:function(t){var i=t.layer||t.target;this._tooltip&&this._map&&this.openTooltip(i,this._tooltip.options.sticky?t.latlng:void 0)},_moveTooltip:function(t){var i,e,n=t.latlng;this._tooltip.options.sticky&&t.originalEvent&&(i=this._map.mouseEventToContainerPoint(t.originalEvent),e=this._map.containerPointToLayerPoint(i),n=this._map.layerPointToLatLng(e)),this._tooltip.setLatLng(n)}});var cn=Ge.extend({options:{iconSize:[12,12],html:!1,bgPos:null,className:"leaflet-div-icon"},createIcon:function(t){var i=t&&"DIV"===t.tagName?t:document.createElement("div"),e=this.options;if(i.innerHTML=!1!==e.html?e.html:"",e.bgPos){var n=w(e.bgPos);i.style.backgroundPosition=-n.x+"px "+-n.y+"px"}return this._setIconStyles(i,"icon"),i},createShadow:function(){return null}});Ge.Default=Ke;var _n=Ue.extend({options:{tileSize:256,opacity:1,updateWhenIdle:ji,updateWhenZooming:!0,updateInterval:200,zIndex:1,bounds:null,minZoom:0,maxZoom:void 0,maxNativeZoom:void 0,minNativeZoom:void 0,noWrap:!1,pane:"tilePane",className:"",keepBuffer:2},initialize:function(t){l(this,t)},onAdd:function(){this._initContainer(),this._levels={},this._tiles={},this._resetView(),this._update()},beforeAdd:function(t){t._addZoomLimit(this)},onRemove:function(t){this._removeAllTiles(),ut(this._container),t._removeZoomLimit(this),this._container=null,this._tileZoom=void 0},bringToFront:function(){return this._map&&(ct(this._container),this._setAutoZIndex(Math.max)),this},bringToBack:function(){return this._map&&(_t(this._container),this._setAutoZIndex(Math.min)),this},getContainer:function(){return this._container},setOpacity:function(t){return this.options.opacity=t,this._updateOpacity(),this},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},isLoading:function(){return this._loading},redraw:function(){return this._map&&(this._removeAllTiles(),this._update()),this},getEvents:function(){var t={viewprereset:this._invalidateAll,viewreset:this._resetView,zoom:this._resetView,moveend:this._onMoveEnd};return this.options.updateWhenIdle||(this._onMove||(this._onMove=o(this._onMoveEnd,this.options.updateInterval,this)),t.move=this._onMove),this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},createTile:function(){return document.createElement("div")},getTileSize:function(){var t=this.options.tileSize;return t instanceof x?t:new x(t,t)},_updateZIndex:function(){this._container&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._container.style.zIndex=this.options.zIndex)},_setAutoZIndex:function(t){for(var i,e=this.getPane().children,n=-t(-1/0,1/0),o=0,s=e.length;o<s;o++)i=e[o].style.zIndex,e[o]!==this._container&&i&&(n=t(n,+i));isFinite(n)&&(this.options.zIndex=n+t(-1,1),this._updateZIndex())},_updateOpacity:function(){if(this._map&&!Li){vt(this._container,this.options.opacity);var t=+new Date,i=!1,e=!1;for(var n in this._tiles){var o=this._tiles[n];if(o.current&&o.loaded){var s=Math.min(1,(t-o.loaded)/200);vt(o.el,s),s<1?i=!0:(o.active?e=!0:this._onOpaqueTile(o),o.active=!0)}}e&&!this._noPrune&&this._pruneTiles(),i&&(g(this._fadeFrame),this._fadeFrame=f(this._updateOpacity,this))}},_onOpaqueTile:r,_initContainer:function(){this._container||(this._container=ht("div","leaflet-layer "+(this.options.className||"")),this._updateZIndex(),this.options.opacity<1&&this._updateOpacity(),this.getPane().appendChild(this._container))},_updateLevels:function(){var t=this._tileZoom,i=this.options.maxZoom;if(void 0!==t){for(var e in this._levels)this._levels[e].el.children.length||e===t?(this._levels[e].el.style.zIndex=i-Math.abs(t-e),this._onUpdateLevel(e)):(ut(this._levels[e].el),this._removeTilesAtZoom(e),this._onRemoveLevel(e),delete this._levels[e]);var n=this._levels[t],o=this._map;return n||((n=this._levels[t]={}).el=ht("div","leaflet-tile-container leaflet-zoom-animated",this._container),n.el.style.zIndex=i,n.origin=o.project(o.unproject(o.getPixelOrigin()),t).round(),n.zoom=t,this._setZoomTransform(n,o.getCenter(),o.getZoom()),n.el.offsetWidth,this._onCreateLevel(n)),this._level=n,n}},_onUpdateLevel:r,_onRemoveLevel:r,_onCreateLevel:r,_pruneTiles:function(){if(this._map){var t,i,e=this._map.getZoom();if(e>this.options.maxZoom||e<this.options.minZoom)this._removeAllTiles();else{for(t in this._tiles)(i=this._tiles[t]).retain=i.current;for(t in this._tiles)if((i=this._tiles[t]).current&&!i.active){var n=i.coords;this._retainParent(n.x,n.y,n.z,n.z-5)||this._retainChildren(n.x,n.y,n.z,n.z+2)}for(t in this._tiles)this._tiles[t].retain||this._removeTile(t)}}},_removeTilesAtZoom:function(t){for(var i in this._tiles)this._tiles[i].coords.z===t&&this._removeTile(i)},_removeAllTiles:function(){for(var t in this._tiles)this._removeTile(t)},_invalidateAll:function(){for(var t in this._levels)ut(this._levels[t].el),this._onRemoveLevel(t),delete this._levels[t];this._removeAllTiles(),this._tileZoom=void 0},_retainParent:function(t,i,e,n){var o=Math.floor(t/2),s=Math.floor(i/2),r=e-1,a=new x(+o,+s);a.z=+r;var h=this._tileCoordsToKey(a),u=this._tiles[h];return u&&u.active?(u.retain=!0,!0):(u&&u.loaded&&(u.retain=!0),r>n&&this._retainParent(o,s,r,n))},_retainChildren:function(t,i,e,n){for(var o=2*t;o<2*t+2;o++)for(var s=2*i;s<2*i+2;s++){var r=new x(o,s);r.z=e+1;var a=this._tileCoordsToKey(r),h=this._tiles[a];h&&h.active?h.retain=!0:(h&&h.loaded&&(h.retain=!0),e+1<n&&this._retainChildren(o,s,e+1,n))}},_resetView:function(t){var i=t&&(t.pinch||t.flyTo);this._setView(this._map.getCenter(),this._map.getZoom(),i,i)},_animateZoom:function(t){this._setView(t.center,t.zoom,!0,t.noUpdate)},_clampZoom:function(t){var i=this.options;return void 0!==i.minNativeZoom&&t<i.minNativeZoom?i.minNativeZoom:void 0!==i.maxNativeZoom&&i.maxNativeZoom<t?i.maxNativeZoom:t},_setView:function(t,i,e,n){var o=this._clampZoom(Math.round(i));(void 0!==this.options.maxZoom&&o>this.options.maxZoom||void 0!==this.options.minZoom&&o<this.options.minZoom)&&(o=void 0);var s=this.options.updateWhenZooming&&o!==this._tileZoom;n&&!s||(this._tileZoom=o,this._abortLoading&&this._abortLoading(),this._updateLevels(),this._resetGrid(),void 0!==o&&this._update(t),e||this._pruneTiles(),this._noPrune=!!e),this._setZoomTransforms(t,i)},_setZoomTransforms:function(t,i){for(var e in this._levels)this._setZoomTransform(this._levels[e],t,i)},_setZoomTransform:function(t,i,e){var n=this._map.getZoomScale(e,t.zoom),o=t.origin.multiplyBy(n).subtract(this._map._getNewPixelOrigin(i,e)).round();Ni?wt(t.el,o,n):Lt(t.el,o)},_resetGrid:function(){var t=this._map,i=t.options.crs,e=this._tileSize=this.getTileSize(),n=this._tileZoom,o=this._map.getPixelWorldBounds(this._tileZoom);o&&(this._globalTileRange=this._pxBoundsToTileRange(o)),this._wrapX=i.wrapLng&&!this.options.noWrap&&[Math.floor(t.project([0,i.wrapLng[0]],n).x/e.x),Math.ceil(t.project([0,i.wrapLng[1]],n).x/e.y)],this._wrapY=i.wrapLat&&!this.options.noWrap&&[Math.floor(t.project([i.wrapLat[0],0],n).y/e.x),Math.ceil(t.project([i.wrapLat[1],0],n).y/e.y)]},_onMoveEnd:function(){this._map&&!this._map._animatingZoom&&this._update()},_getTiledPixelBounds:function(t){var i=this._map,e=i._animatingZoom?Math.max(i._animateToZoom,i.getZoom()):i.getZoom(),n=i.getZoomScale(e,this._tileZoom),o=i.project(t,this._tileZoom).floor(),s=i.getSize().divideBy(2*n);return new P(o.subtract(s),o.add(s))},_update:function(t){var i=this._map;if(i){var e=this._clampZoom(i.getZoom());if(void 0===t&&(t=i.getCenter()),void 0!==this._tileZoom){var n=this._getTiledPixelBounds(t),o=this._pxBoundsToTileRange(n),s=o.getCenter(),r=[],a=this.options.keepBuffer,h=new P(o.getBottomLeft().subtract([a,-a]),o.getTopRight().add([a,-a]));if(!(isFinite(o.min.x)&&isFinite(o.min.y)&&isFinite(o.max.x)&&isFinite(o.max.y)))throw new Error("Attempted to load an infinite number of tiles");for(var u in this._tiles){var l=this._tiles[u].coords;l.z===this._tileZoom&&h.contains(new x(l.x,l.y))||(this._tiles[u].current=!1)}if(Math.abs(e-this._tileZoom)>1)this._setView(t,e);else{for(var c=o.min.y;c<=o.max.y;c++)for(var _=o.min.x;_<=o.max.x;_++){var d=new x(_,c);if(d.z=this._tileZoom,this._isValidTile(d)){var p=this._tiles[this._tileCoordsToKey(d)];p?p.current=!0:r.push(d)}}if(r.sort(function(t,i){return t.distanceTo(s)-i.distanceTo(s)}),0!==r.length){this._loading||(this._loading=!0,this.fire("loading"));var m=document.createDocumentFragment();for(_=0;_<r.length;_++)this._addTile(r[_],m);this._level.el.appendChild(m)}}}}},_isValidTile:function(t){var i=this._map.options.crs;if(!i.infinite){var e=this._globalTileRange;if(!i.wrapLng&&(t.x<e.min.x||t.x>e.max.x)||!i.wrapLat&&(t.y<e.min.y||t.y>e.max.y))return!1}if(!this.options.bounds)return!0;var n=this._tileCoordsToBounds(t);return z(this.options.bounds).overlaps(n)},_keyToBounds:function(t){return this._tileCoordsToBounds(this._keyToTileCoords(t))},_tileCoordsToNwSe:function(t){var i=this._map,e=this.getTileSize(),n=t.scaleBy(e),o=n.add(e);return[i.unproject(n,t.z),i.unproject(o,t.z)]},_tileCoordsToBounds:function(t){var i=this._tileCoordsToNwSe(t),e=new T(i[0],i[1]);return this.options.noWrap||(e=this._map.wrapLatLngBounds(e)),e},_tileCoordsToKey:function(t){return t.x+":"+t.y+":"+t.z},_keyToTileCoords:function(t){var i=t.split(":"),e=new x(+i[0],+i[1]);return e.z=+i[2],e},_removeTile:function(t){var i=this._tiles[t];i&&(Ci||i.el.setAttribute("src",ni),ut(i.el),delete this._tiles[t],this.fire("tileunload",{tile:i.el,coords:this._keyToTileCoords(t)}))},_initTile:function(t){pt(t,"leaflet-tile");var i=this.getTileSize();t.style.width=i.x+"px",t.style.height=i.y+"px",t.onselectstart=r,t.onmousemove=r,Li&&this.options.opacity<1&&vt(t,this.options.opacity),Ti&&!zi&&(t.style.WebkitBackfaceVisibility="hidden")},_addTile:function(t,i){var n=this._getTilePos(t),o=this._tileCoordsToKey(t),s=this.createTile(this._wrapCoords(t),e(this._tileReady,this,t));this._initTile(s),this.createTile.length<2&&f(e(this._tileReady,this,t,null,s)),Lt(s,n),this._tiles[o]={el:s,coords:t,current:!0},i.appendChild(s),this.fire("tileloadstart",{tile:s,coords:t})},_tileReady:function(t,i,n){if(this._map){i&&this.fire("tileerror",{error:i,tile:n,coords:t});var o=this._tileCoordsToKey(t);(n=this._tiles[o])&&(n.loaded=+new Date,this._map._fadeAnimated?(vt(n.el,0),g(this._fadeFrame),this._fadeFrame=f(this._updateOpacity,this)):(n.active=!0,this._pruneTiles()),i||(pt(n.el,"leaflet-tile-loaded"),this.fire("tileload",{tile:n.el,coords:t})),this._noTilesToLoad()&&(this._loading=!1,this.fire("load"),Li||!this._map._fadeAnimated?f(this._pruneTiles,this):setTimeout(e(this._pruneTiles,this),250)))}},_getTilePos:function(t){return t.scaleBy(this.getTileSize()).subtract(this._level.origin)},_wrapCoords:function(t){var i=new x(this._wrapX?s(t.x,this._wrapX):t.x,this._wrapY?s(t.y,this._wrapY):t.y);return i.z=t.z,i},_pxBoundsToTileRange:function(t){var i=this.getTileSize();return new P(t.min.unscaleBy(i).floor(),t.max.unscaleBy(i).ceil().subtract([1,1]))},_noTilesToLoad:function(){for(var t in this._tiles)if(!this._tiles[t].loaded)return!1;return!0}}),dn=_n.extend({options:{minZoom:0,maxZoom:18,subdomains:"abc",errorTileUrl:"",zoomOffset:0,tms:!1,zoomReverse:!1,detectRetina:!1,crossOrigin:!1},initialize:function(t,i){this._url=t,(i=l(this,i)).detectRetina&&Ki&&i.maxZoom>0&&(i.tileSize=Math.floor(i.tileSize/2),i.zoomReverse?(i.zoomOffset--,i.minZoom++):(i.zoomOffset++,i.maxZoom--),i.minZoom=Math.max(0,i.minZoom)),"string"==typeof i.subdomains&&(i.subdomains=i.subdomains.split("")),Ti||this.on("tileunload",this._onTileRemove)},setUrl:function(t,i){return this._url=t,i||this.redraw(),this},createTile:function(t,i){var n=document.createElement("img");return V(n,"load",e(this._tileOnLoad,this,i,n)),V(n,"error",e(this._tileOnError,this,i,n)),this.options.crossOrigin&&(n.crossOrigin=""),n.alt="",n.setAttribute("role","presentation"),n.src=this.getTileUrl(t),n},getTileUrl:function(t){var e={r:Ki?"@2x":"",s:this._getSubdomain(t),x:t.x,y:t.y,z:this._getZoomForUrl()};if(this._map&&!this._map.options.crs.infinite){var n=this._globalTileRange.max.y-t.y;this.options.tms&&(e.y=n),e["-y"]=n}return _(this._url,i(e,this.options))},_tileOnLoad:function(t,i){Li?setTimeout(e(t,this,null,i),0):t(null,i)},_tileOnError:function(t,i,e){var n=this.options.errorTileUrl;n&&i.getAttribute("src")!==n&&(i.src=n),t(e,i)},_onTileRemove:function(t){t.tile.onload=null},_getZoomForUrl:function(){var t=this._tileZoom,i=this.options.maxZoom,e=this.options.zoomReverse,n=this.options.zoomOffset;return e&&(t=i-t),t+n},_getSubdomain:function(t){var i=Math.abs(t.x+t.y)%this.options.subdomains.length;return this.options.subdomains[i]},_abortLoading:function(){var t,i;for(t in this._tiles)this._tiles[t].coords.z!==this._tileZoom&&((i=this._tiles[t].el).onload=r,i.onerror=r,i.complete||(i.src=ni,ut(i),delete this._tiles[t]))}}),pn=dn.extend({defaultWmsParams:{service:"WMS",request:"GetMap",layers:"",styles:"",format:"image/jpeg",transparent:!1,version:"1.1.1"},options:{crs:null,uppercase:!1},initialize:function(t,e){this._url=t;var n=i({},this.defaultWmsParams);for(var o in e)o in this.options||(n[o]=e[o]);var s=(e=l(this,e)).detectRetina&&Ki?2:1,r=this.getTileSize();n.width=r.x*s,n.height=r.y*s,this.wmsParams=n},onAdd:function(t){this._crs=this.options.crs||t.options.crs,this._wmsVersion=parseFloat(this.wmsParams.version);var i=this._wmsVersion>=1.3?"crs":"srs";this.wmsParams[i]=this._crs.code,dn.prototype.onAdd.call(this,t)},getTileUrl:function(t){var i=this._tileCoordsToNwSe(t),e=this._crs,n=b(e.project(i[0]),e.project(i[1])),o=n.min,s=n.max,r=(this._wmsVersion>=1.3&&this._crs===He?[o.y,o.x,s.y,s.x]:[o.x,o.y,s.x,s.y]).join(","),a=L.TileLayer.prototype.getTileUrl.call(this,t);return a+c(this.wmsParams,a,this.options.uppercase)+(this.options.uppercase?"&BBOX=":"&bbox=")+r},setParams:function(t,e){return i(this.wmsParams,t),e||this.redraw(),this}});dn.WMS=pn,Yt.wms=function(t,i){return new pn(t,i)};var mn=Ue.extend({options:{padding:.1,tolerance:0},initialize:function(t){l(this,t),n(this),this._layers=this._layers||{}},onAdd:function(){this._container||(this._initContainer(),this._zoomAnimated&&pt(this._container,"leaflet-zoom-animated")),this.getPane().appendChild(this._container),this._update(),this.on("update",this._updatePaths,this)},onRemove:function(){this.off("update",this._updatePaths,this),this._destroyContainer()},getEvents:function(){var t={viewreset:this._reset,zoom:this._onZoom,moveend:this._update,zoomend:this._onZoomEnd};return this._zoomAnimated&&(t.zoomanim=this._onAnimZoom),t},_onAnimZoom:function(t){this._updateTransform(t.center,t.zoom)},_onZoom:function(){this._updateTransform(this._map.getCenter(),this._map.getZoom())},_updateTransform:function(t,i){var e=this._map.getZoomScale(i,this._zoom),n=Pt(this._container),o=this._map.getSize().multiplyBy(.5+this.options.padding),s=this._map.project(this._center,i),r=this._map.project(t,i).subtract(s),a=o.multiplyBy(-e).add(n).add(o).subtract(r);Ni?wt(this._container,a,e):Lt(this._container,a)},_reset:function(){this._update(),this._updateTransform(this._center,this._zoom);for(var t in this._layers)this._layers[t]._reset()},_onZoomEnd:function(){for(var t in this._layers)this._layers[t]._project()},_updatePaths:function(){for(var t in this._layers)this._layers[t]._update()},_update:function(){var t=this.options.padding,i=this._map.getSize(),e=this._map.containerPointToLayerPoint(i.multiplyBy(-t)).round();this._bounds=new P(e,e.add(i.multiplyBy(1+2*t)).round()),this._center=this._map.getCenter(),this._zoom=this._map.getZoom()}}),fn=mn.extend({getEvents:function(){var t=mn.prototype.getEvents.call(this);return t.viewprereset=this._onViewPreReset,t},_onViewPreReset:function(){this._postponeUpdatePaths=!0},onAdd:function(){mn.prototype.onAdd.call(this),this._draw()},_initContainer:function(){var t=this._container=document.createElement("canvas");V(t,"mousemove",o(this._onMouseMove,32,this),this),V(t,"click dblclick mousedown mouseup contextmenu",this._onClick,this),V(t,"mouseout",this._handleMouseOut,this),this._ctx=t.getContext("2d")},_destroyContainer:function(){delete this._ctx,ut(this._container),q(this._container),delete this._container},_updatePaths:function(){if(!this._postponeUpdatePaths){this._redrawBounds=null;for(var t in this._layers)this._layers[t]._update();this._redraw()}},_update:function(){if(!this._map._animatingZoom||!this._bounds){this._drawnLayers={},mn.prototype._update.call(this);var t=this._bounds,i=this._container,e=t.getSize(),n=Ki?2:1;Lt(i,t.min),i.width=n*e.x,i.height=n*e.y,i.style.width=e.x+"px",i.style.height=e.y+"px",Ki&&this._ctx.scale(2,2),this._ctx.translate(-t.min.x,-t.min.y),this.fire("update")}},_reset:function(){mn.prototype._reset.call(this),this._postponeUpdatePaths&&(this._postponeUpdatePaths=!1,this._updatePaths())},_initPath:function(t){this._updateDashArray(t),this._layers[n(t)]=t;var i=t._order={layer:t,prev:this._drawLast,next:null};this._drawLast&&(this._drawLast.next=i),this._drawLast=i,this._drawFirst=this._drawFirst||this._drawLast},_addPath:function(t){this._requestRedraw(t)},_removePath:function(t){var i=t._order,e=i.next,n=i.prev;e?e.prev=n:this._drawLast=n,n?n.next=e:this._drawFirst=e,delete t._order,delete this._layers[L.stamp(t)],this._requestRedraw(t)},_updatePath:function(t){this._extendRedrawBounds(t),t._project(),t._update(),this._requestRedraw(t)},_updateStyle:function(t){this._updateDashArray(t),this._requestRedraw(t)},_updateDashArray:function(t){if(t.options.dashArray){var i,e=t.options.dashArray.split(","),n=[];for(i=0;i<e.length;i++)n.push(Number(e[i]));t.options._dashArray=n}},_requestRedraw:function(t){this._map&&(this._extendRedrawBounds(t),this._redrawRequest=this._redrawRequest||f(this._redraw,this))},_extendRedrawBounds:function(t){if(t._pxBounds){var i=(t.options.weight||0)+1;this._redrawBounds=this._redrawBounds||new P,this._redrawBounds.extend(t._pxBounds.min.subtract([i,i])),this._redrawBounds.extend(t._pxBounds.max.add([i,i]))}},_redraw:function(){this._redrawRequest=null,this._redrawBounds&&(this._redrawBounds.min._floor(),this._redrawBounds.max._ceil()),this._clear(),this._draw(),this._redrawBounds=null},_clear:function(){var t=this._redrawBounds;if(t){var i=t.getSize();this._ctx.clearRect(t.min.x,t.min.y,i.x,i.y)}else this._ctx.clearRect(0,0,this._container.width,this._container.height)},_draw:function(){var t,i=this._redrawBounds;if(this._ctx.save(),i){var e=i.getSize();this._ctx.beginPath(),this._ctx.rect(i.min.x,i.min.y,e.x,e.y),this._ctx.clip()}this._drawing=!0;for(var n=this._drawFirst;n;n=n.next)t=n.layer,(!i||t._pxBounds&&t._pxBounds.intersects(i))&&t._updatePath();this._drawing=!1,this._ctx.restore()},_updatePoly:function(t,i){if(this._drawing){var e,n,o,s,r=t._parts,a=r.length,h=this._ctx;if(a){for(this._drawnLayers[t._leaflet_id]=t,h.beginPath(),e=0;e<a;e++){for(n=0,o=r[e].length;n<o;n++)s=r[e][n],h[n?"lineTo":"moveTo"](s.x,s.y);i&&h.closePath()}this._fillStroke(h,t)}}},_updateCircle:function(t){if(this._drawing&&!t._empty()){var i=t._point,e=this._ctx,n=Math.max(Math.round(t._radius),1),o=(Math.max(Math.round(t._radiusY),1)||n)/n;this._drawnLayers[t._leaflet_id]=t,1!==o&&(e.save(),e.scale(1,o)),e.beginPath(),e.arc(i.x,i.y/o,n,0,2*Math.PI,!1),1!==o&&e.restore(),this._fillStroke(e,t)}},_fillStroke:function(t,i){var e=i.options;e.fill&&(t.globalAlpha=e.fillOpacity,t.fillStyle=e.fillColor||e.color,t.fill(e.fillRule||"evenodd")),e.stroke&&0!==e.weight&&(t.setLineDash&&t.setLineDash(i.options&&i.options._dashArray||[]),t.globalAlpha=e.opacity,t.lineWidth=e.weight,t.strokeStyle=e.color,t.lineCap=e.lineCap,t.lineJoin=e.lineJoin,t.stroke())},_onClick:function(t){for(var i,e,n=this._map.mouseEventToLayerPoint(t),o=this._drawFirst;o;o=o.next)(i=o.layer).options.interactive&&i._containsPoint(n)&&!this._map._draggableMoved(i)&&(e=i);e&&(et(t),this._fireEvent([e],t))},_onMouseMove:function(t){if(this._map&&!this._map.dragging.moving()&&!this._map._animatingZoom){var i=this._map.mouseEventToLayerPoint(t);this._handleMouseHover(t,i)}},_handleMouseOut:function(t){var i=this._hoveredLayer;i&&(mt(this._container,"leaflet-interactive"),this._fireEvent([i],t,"mouseout"),this._hoveredLayer=null)},_handleMouseHover:function(t,i){for(var e,n,o=this._drawFirst;o;o=o.next)(e=o.layer).options.interactive&&e._containsPoint(i)&&(n=e);n!==this._hoveredLayer&&(this._handleMouseOut(t),n&&(pt(this._container,"leaflet-interactive"),this._fireEvent([n],t,"mouseover"),this._hoveredLayer=n)),this._hoveredLayer&&this._fireEvent([this._hoveredLayer],t)},_fireEvent:function(t,i,e){this._map._fireDOMEvent(i,e||i.type,t)},_bringToFront:function(t){var i=t._order,e=i.next,n=i.prev;e&&(e.prev=n,n?n.next=e:e&&(this._drawFirst=e),i.prev=this._drawLast,this._drawLast.next=i,i.next=null,this._drawLast=i,this._requestRedraw(t))},_bringToBack:function(t){var i=t._order,e=i.next,n=i.prev;n&&(n.next=e,e?e.prev=n:n&&(this._drawLast=n),i.prev=null,i.next=this._drawFirst,this._drawFirst.prev=i,this._drawFirst=i,this._requestRedraw(t))}}),gn=function(){try{return document.namespaces.add("lvml","urn:schemas-microsoft-com:vml"),function(t){return document.createElement("<lvml:"+t+' class="lvml">')}}catch(t){return function(t){return document.createElement("<"+t+' xmlns="urn:schemas-microsoft.com:vml" class="lvml">')}}}(),vn={_initContainer:function(){this._container=ht("div","leaflet-vml-container")},_update:function(){this._map._animatingZoom||(mn.prototype._update.call(this),this.fire("update"))},_initPath:function(t){var i=t._container=gn("shape");pt(i,"leaflet-vml-shape "+(this.options.className||"")),i.coordsize="1 1",t._path=gn("path"),i.appendChild(t._path),this._updateStyle(t),this._layers[n(t)]=t},_addPath:function(t){var i=t._container;this._container.appendChild(i),t.options.interactive&&t.addInteractiveTarget(i)},_removePath:function(t){var i=t._container;ut(i),t.removeInteractiveTarget(i),delete this._layers[n(t)]},_updateStyle:function(t){var i=t._stroke,e=t._fill,n=t.options,o=t._container;o.stroked=!!n.stroke,o.filled=!!n.fill,n.stroke?(i||(i=t._stroke=gn("stroke")),o.appendChild(i),i.weight=n.weight+"px",i.color=n.color,i.opacity=n.opacity,n.dashArray?i.dashStyle=ei(n.dashArray)?n.dashArray.join(" "):n.dashArray.replace(/( *, *)/g," "):i.dashStyle="",i.endcap=n.lineCap.replace("butt","flat"),i.joinstyle=n.lineJoin):i&&(o.removeChild(i),t._stroke=null),n.fill?(e||(e=t._fill=gn("fill")),o.appendChild(e),e.color=n.fillColor||n.color,e.opacity=n.fillOpacity):e&&(o.removeChild(e),t._fill=null)},_updateCircle:function(t){var i=t._point.round(),e=Math.round(t._radius),n=Math.round(t._radiusY||e);this._setPath(t,t._empty()?"M0 0":"AL "+i.x+","+i.y+" "+e+","+n+" 0,23592600")},_setPath:function(t,i){t._path.v=i},_bringToFront:function(t){ct(t._container)},_bringToBack:function(t){_t(t._container)}},yn=Ji?gn:E,xn=mn.extend({getEvents:function(){var t=mn.prototype.getEvents.call(this);return t.zoomstart=this._onZoomStart,t},_initContainer:function(){this._container=yn("svg"),this._container.setAttribute("pointer-events","none"),this._rootGroup=yn("g"),this._container.appendChild(this._rootGroup)},_destroyContainer:function(){ut(this._container),q(this._container),delete this._container,delete this._rootGroup,delete this._svgSize},_onZoomStart:function(){this._update()},_update:function(){if(!this._map._animatingZoom||!this._bounds){mn.prototype._update.call(this);var t=this._bounds,i=t.getSize(),e=this._container;this._svgSize&&this._svgSize.equals(i)||(this._svgSize=i,e.setAttribute("width",i.x),e.setAttribute("height",i.y)),Lt(e,t.min),e.setAttribute("viewBox",[t.min.x,t.min.y,i.x,i.y].join(" ")),this.fire("update")}},_initPath:function(t){var i=t._path=yn("path");t.options.className&&pt(i,t.options.className),t.options.interactive&&pt(i,"leaflet-interactive"),this._updateStyle(t),this._layers[n(t)]=t},_addPath:function(t){this._rootGroup||this._initContainer(),this._rootGroup.appendChild(t._path),t.addInteractiveTarget(t._path)},_removePath:function(t){ut(t._path),t.removeInteractiveTarget(t._path),delete this._layers[n(t)]},_updatePath:function(t){t._project(),t._update()},_updateStyle:function(t){var i=t._path,e=t.options;i&&(e.stroke?(i.setAttribute("stroke",e.color),i.setAttribute("stroke-opacity",e.opacity),i.setAttribute("stroke-width",e.weight),i.setAttribute("stroke-linecap",e.lineCap),i.setAttribute("stroke-linejoin",e.lineJoin),e.dashArray?i.setAttribute("stroke-dasharray",e.dashArray):i.removeAttribute("stroke-dasharray"),e.dashOffset?i.setAttribute("stroke-dashoffset",e.dashOffset):i.removeAttribute("stroke-dashoffset")):i.setAttribute("stroke","none"),e.fill?(i.setAttribute("fill",e.fillColor||e.color),i.setAttribute("fill-opacity",e.fillOpacity),i.setAttribute("fill-rule",e.fillRule||"evenodd")):i.setAttribute("fill","none"))},_updatePoly:function(t,i){this._setPath(t,k(t._parts,i))},_updateCircle:function(t){var i=t._point,e=Math.max(Math.round(t._radius),1),n="a"+e+","+(Math.max(Math.round(t._radiusY),1)||e)+" 0 1,0 ",o=t._empty()?"M0 0":"M"+(i.x-e)+","+i.y+n+2*e+",0 "+n+2*-e+",0 ";this._setPath(t,o)},_setPath:function(t,i){t._path.setAttribute("d",i)},_bringToFront:function(t){ct(t._path)},_bringToBack:function(t){_t(t._path)}});Ji&&xn.include(vn),Le.include({getRenderer:function(t){var i=t.options.renderer||this._getPaneRenderer(t.options.pane)||this.options.renderer||this._renderer;return i||(i=this._renderer=this.options.preferCanvas&&Xt()||Jt()),this.hasLayer(i)||this.addLayer(i),i},_getPaneRenderer:function(t){if("overlayPane"===t||void 0===t)return!1;var i=this._paneRenderers[t];return void 0===i&&(i=xn&&Jt({pane:t})||fn&&Xt({pane:t}),this._paneRenderers[t]=i),i}});var wn=en.extend({initialize:function(t,i){en.prototype.initialize.call(this,this._boundsToLatLngs(t),i)},setBounds:function(t){return this.setLatLngs(this._boundsToLatLngs(t))},_boundsToLatLngs:function(t){return t=z(t),[t.getSouthWest(),t.getNorthWest(),t.getNorthEast(),t.getSouthEast()]}});xn.create=yn,xn.pointsToPath=k,nn.geometryToLayer=Wt,nn.coordsToLatLng=Ht,nn.coordsToLatLngs=Ft,nn.latLngToCoords=Ut,nn.latLngsToCoords=Vt,nn.getFeature=qt,nn.asFeature=Gt,Le.mergeOptions({boxZoom:!0});var Ln=Ze.extend({initialize:function(t){this._map=t,this._container=t._container,this._pane=t._panes.overlayPane,this._resetStateTimeout=0,t.on("unload",this._destroy,this)},addHooks:function(){V(this._container,"mousedown",this._onMouseDown,this)},removeHooks:function(){q(this._container,"mousedown",this._onMouseDown,this)},moved:function(){return this._moved},_destroy:function(){ut(this._pane),delete this._pane},_resetState:function(){this._resetStateTimeout=0,this._moved=!1},_clearDeferredResetState:function(){0!==this._resetStateTimeout&&(clearTimeout(this._resetStateTimeout),this._resetStateTimeout=0)},_onMouseDown:function(t){if(!t.shiftKey||1!==t.which&&1!==t.button)return!1;this._clearDeferredResetState(),this._resetState(),mi(),bt(),this._startPoint=this._map.mouseEventToContainerPoint(t),V(document,{contextmenu:Q,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseMove:function(t){this._moved||(this._moved=!0,this._box=ht("div","leaflet-zoom-box",this._container),pt(this._container,"leaflet-crosshair"),this._map.fire("boxzoomstart")),this._point=this._map.mouseEventToContainerPoint(t);var i=new P(this._point,this._startPoint),e=i.getSize();Lt(this._box,i.min),this._box.style.width=e.x+"px",this._box.style.height=e.y+"px"},_finish:function(){this._moved&&(ut(this._box),mt(this._container,"leaflet-crosshair")),fi(),Tt(),q(document,{contextmenu:Q,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseUp:function(t){if((1===t.which||1===t.button)&&(this._finish(),this._moved)){this._clearDeferredResetState(),this._resetStateTimeout=setTimeout(e(this._resetState,this),0);var i=new T(this._map.containerPointToLatLng(this._startPoint),this._map.containerPointToLatLng(this._point));this._map.fitBounds(i).fire("boxzoomend",{boxZoomBounds:i})}},_onKeyDown:function(t){27===t.keyCode&&this._finish()}});Le.addInitHook("addHandler","boxZoom",Ln),Le.mergeOptions({doubleClickZoom:!0});var Pn=Ze.extend({addHooks:function(){this._map.on("dblclick",this._onDoubleClick,this)},removeHooks:function(){this._map.off("dblclick",this._onDoubleClick,this)},_onDoubleClick:function(t){var i=this._map,e=i.getZoom(),n=i.options.zoomDelta,o=t.originalEvent.shiftKey?e-n:e+n;"center"===i.options.doubleClickZoom?i.setZoom(o):i.setZoomAround(t.containerPoint,o)}});Le.addInitHook("addHandler","doubleClickZoom",Pn),Le.mergeOptions({dragging:!0,inertia:!zi,inertiaDeceleration:3400,inertiaMaxSpeed:1/0,easeLinearity:.2,worldCopyJump:!1,maxBoundsViscosity:0});var bn=Ze.extend({addHooks:function(){if(!this._draggable){var t=this._map;this._draggable=new Be(t._mapPane,t._container),this._draggable.on({dragstart:this._onDragStart,drag:this._onDrag,dragend:this._onDragEnd},this),this._draggable.on("predrag",this._onPreDragLimit,this),t.options.worldCopyJump&&(this._draggable.on("predrag",this._onPreDragWrap,this),t.on("zoomend",this._onZoomEnd,this),t.whenReady(this._onZoomEnd,this))}pt(this._map._container,"leaflet-grab leaflet-touch-drag"),this._draggable.enable(),this._positions=[],this._times=[]},removeHooks:function(){mt(this._map._container,"leaflet-grab"),mt(this._map._container,"leaflet-touch-drag"),this._draggable.disable()},moved:function(){return this._draggable&&this._draggable._moved},moving:function(){return this._draggable&&this._draggable._moving},_onDragStart:function(){var t=this._map;if(t._stop(),this._map.options.maxBounds&&this._map.options.maxBoundsViscosity){var i=z(this._map.options.maxBounds);this._offsetLimit=b(this._map.latLngToContainerPoint(i.getNorthWest()).multiplyBy(-1),this._map.latLngToContainerPoint(i.getSouthEast()).multiplyBy(-1).add(this._map.getSize())),this._viscosity=Math.min(1,Math.max(0,this._map.options.maxBoundsViscosity))}else this._offsetLimit=null;t.fire("movestart").fire("dragstart"),t.options.inertia&&(this._positions=[],this._times=[])},_onDrag:function(t){if(this._map.options.inertia){var i=this._lastTime=+new Date,e=this._lastPos=this._draggable._absPos||this._draggable._newPos;this._positions.push(e),this._times.push(i),this._prunePositions(i)}this._map.fire("move",t).fire("drag",t)},_prunePositions:function(t){for(;this._positions.length>1&&t-this._times[0]>50;)this._positions.shift(),this._times.shift()},_onZoomEnd:function(){var t=this._map.getSize().divideBy(2),i=this._map.latLngToLayerPoint([0,0]);this._initialWorldOffset=i.subtract(t).x,this._worldWidth=this._map.getPixelWorldBounds().getSize().x},_viscousLimit:function(t,i){return t-(t-i)*this._viscosity},_onPreDragLimit:function(){if(this._viscosity&&this._offsetLimit){var t=this._draggable._newPos.subtract(this._draggable._startPos),i=this._offsetLimit;t.x<i.min.x&&(t.x=this._viscousLimit(t.x,i.min.x)),t.y<i.min.y&&(t.y=this._viscousLimit(t.y,i.min.y)),t.x>i.max.x&&(t.x=this._viscousLimit(t.x,i.max.x)),t.y>i.max.y&&(t.y=this._viscousLimit(t.y,i.max.y)),this._draggable._newPos=this._draggable._startPos.add(t)}},_onPreDragWrap:function(){var t=this._worldWidth,i=Math.round(t/2),e=this._initialWorldOffset,n=this._draggable._newPos.x,o=(n-i+e)%t+i-e,s=(n+i+e)%t-i-e,r=Math.abs(o+e)<Math.abs(s+e)?o:s;this._draggable._absPos=this._draggable._newPos.clone(),this._draggable._newPos.x=r},_onDragEnd:function(t){var i=this._map,e=i.options,n=!e.inertia||this._times.length<2;if(i.fire("dragend",t),n)i.fire("moveend");else{this._prunePositions(+new Date);var o=this._lastPos.subtract(this._positions[0]),s=(this._lastTime-this._times[0])/1e3,r=e.easeLinearity,a=o.multiplyBy(r/s),h=a.distanceTo([0,0]),u=Math.min(e.inertiaMaxSpeed,h),l=a.multiplyBy(u/h),c=u/(e.inertiaDeceleration*r),_=l.multiplyBy(-c/2).round();_.x||_.y?(_=i._limitOffset(_,i.options.maxBounds),f(function(){i.panBy(_,{duration:c,easeLinearity:r,noMoveStart:!0,animate:!0})})):i.fire("moveend")}}});Le.addInitHook("addHandler","dragging",bn),Le.mergeOptions({keyboard:!0,keyboardPanDelta:80});var Tn=Ze.extend({keyCodes:{left:[37],right:[39],down:[40],up:[38],zoomIn:[187,107,61,171],zoomOut:[189,109,54,173]},initialize:function(t){this._map=t,this._setPanDelta(t.options.keyboardPanDelta),this._setZoomDelta(t.options.zoomDelta)},addHooks:function(){var t=this._map._container;t.tabIndex<=0&&(t.tabIndex="0"),V(t,{focus:this._onFocus,blur:this._onBlur,mousedown:this._onMouseDown},this),this._map.on({focus:this._addHooks,blur:this._removeHooks},this)},removeHooks:function(){this._removeHooks(),q(this._map._container,{focus:this._onFocus,blur:this._onBlur,mousedown:this._onMouseDown},this),this._map.off({focus:this._addHooks,blur:this._removeHooks},this)},_onMouseDown:function(){if(!this._focused){var t=document.body,i=document.documentElement,e=t.scrollTop||i.scrollTop,n=t.scrollLeft||i.scrollLeft;this._map._container.focus(),window.scrollTo(n,e)}},_onFocus:function(){this._focused=!0,this._map.fire("focus")},_onBlur:function(){this._focused=!1,this._map.fire("blur")},_setPanDelta:function(t){var i,e,n=this._panKeys={},o=this.keyCodes;for(i=0,e=o.left.length;i<e;i++)n[o.left[i]]=[-1*t,0];for(i=0,e=o.right.length;i<e;i++)n[o.right[i]]=[t,0];for(i=0,e=o.down.length;i<e;i++)n[o.down[i]]=[0,t];for(i=0,e=o.up.length;i<e;i++)n[o.up[i]]=[0,-1*t]},_setZoomDelta:function(t){var i,e,n=this._zoomKeys={},o=this.keyCodes;for(i=0,e=o.zoomIn.length;i<e;i++)n[o.zoomIn[i]]=t;for(i=0,e=o.zoomOut.length;i<e;i++)n[o.zoomOut[i]]=-t},_addHooks:function(){V(document,"keydown",this._onKeyDown,this)},_removeHooks:function(){q(document,"keydown",this._onKeyDown,this)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var i,e=t.keyCode,n=this._map;if(e in this._panKeys){if(n._panAnim&&n._panAnim._inProgress)return;i=this._panKeys[e],t.shiftKey&&(i=w(i).multiplyBy(3)),n.panBy(i),n.options.maxBounds&&n.panInsideBounds(n.options.maxBounds)}else if(e in 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e=i.mouseEventToContainerPoint(t.touches[0]),n=i.mouseEventToContainerPoint(t.touches[1]);this._centerPoint=i.getSize()._divideBy(2),this._startLatLng=i.containerPointToLatLng(this._centerPoint),"center"!==i.options.touchZoom&&(this._pinchStartLatLng=i.containerPointToLatLng(e.add(n)._divideBy(2))),this._startDist=e.distanceTo(n),this._startZoom=i.getZoom(),this._moved=!1,this._zooming=!0,i._stop(),V(document,"touchmove",this._onTouchMove,this),V(document,"touchend",this._onTouchEnd,this),$(t)}},_onTouchMove:function(t){if(t.touches&&2===t.touches.length&&this._zooming){var i=this._map,n=i.mouseEventToContainerPoint(t.touches[0]),o=i.mouseEventToContainerPoint(t.touches[1]),s=n.distanceTo(o)/this._startDist;if(this._zoom=i.getScaleZoom(s,this._startZoom),!i.options.bounceAtZoomLimits&&(this._zoom<i.getMinZoom()&&s<1||this._zoom>i.getMaxZoom()&&s>1)&&(this._zoom=i._limitZoom(this._zoom)),"center"===i.options.touchZoom){if(this._center=this._startLatLng,1===s)return}else{var 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h,e,n,r,o,l,M,c,u,f,m,p,d,y=t.x,_=t.y,x=t.z?t.z:0,g=Math.sqrt(y*y+_*_),b=Math.sqrt(y*y+_*_+x*x);if(g/i<1e-12){if(p=0,b/i<1e-12)return d=-a,{x:t.x,y:t.y,z:t.z}}else p=Math.atan2(_,y);for(h=x/b,l=(e=g/b)*(1-s)*(n=1/Math.sqrt(1-s*(2-s)*e*e)),M=h*n,m=0;m++,r=s*(o=i/Math.sqrt(1-s*M*M))/(o+(d=g*l+x*M-o*(1-s*M*M))),f=(u=h*(n=1/Math.sqrt(1-r*(2-r)*e*e)))*l-(c=e*(1-r)*n)*M,l=c,M=u,1e-24<f*f&&m<30;);return{x:p,y:Math.atan(u/Math.abs(c)),z:d}}function u(t){return t===I||t===O}function i(t){if("function"==typeof Number.isFinite){if(Number.isFinite(t))return;throw new TypeError("coordinates must be finite numbers")}if("number"!=typeof t||t!=t||!isFinite(t))throw new TypeError("coordinates must be finite numbers")}function f(t,s,i){var a,h,e;if(Array.isArray(i)&&(i=bt(i)),vt(i),t.datum&&s.datum&&(e=s,((h=t).datum.datum_type===I||h.datum.datum_type===O)&&"WGS84"!==e.datumCode||(e.datum.datum_type===I||e.datum.datum_type===O)&&"WGS84"!==h.datumCode)&&(i=f(t,a=new q("WGS84"),i),t=a),"enu"!==t.axis&&(i=gt(t,!1,i)),"longlat"===t.projName)i={x:i.x*N,y:i.y*N,z:i.z||0};else if(t.to_meter&&(i={x:i.x*t.to_meter,y:i.y*t.to_meter,z:i.z||0}),!(i=t.inverse(i)))return;return t.from_greenwich&&(i.x+=t.from_greenwich),i=xt(t.datum,s.datum,i),s.from_greenwich&&(i={x:i.x-s.from_greenwich,y:i.y,z:i.z||0}),"longlat"===s.projName?i={x:i.x*B,y:i.y*B,z:i.z||0}:(i=s.forward(i),s.to_meter&&(i={x:i.x/s.to_meter,y:i.y/s.to_meter,z:i.z||0})),"enu"!==s.axis?gt(s,!0,i):i}function m(s,i,a){var t,h,e;return Array.isArray(a)?(t=f(s,i,a)||{x:NaN,y:NaN},2<a.length?void 0!==s.name&&"geocent"===s.name||void 0!==i.name&&"geocent"===i.name?"number"==typeof t.z?[t.x,t.y,t.z].concat(a.splice(3)):[t.x,t.y,a[2]].concat(a.splice(3)):[t.x,t.y].concat(a.splice(2)):[t.x,t.y]):(h=f(s,i,a),2===(e=Object.keys(a)).length||e.forEach(function(t){if(void 0!==s.name&&"geocent"===s.name||void 0!==i.name&&"geocent"===i.name){if("x"===t||"y"===t||"z"===t)return}else if("x"===t||"y"===t)return;h[t]=a[t]}),h)}function p(t){return t instanceof q?t:t.oProj?t.oProj:q(t)}function a(s,i,t){s=p(s);var a,h=!1;return void 0===i?(i=s,s=wt,h=!0):void 0===i.x&&!Array.isArray(i)||(t=i,i=s,s=wt,h=!0),i=p(i),t?m(s,i,t):(a={forward:function(t){return m(s,i,t)},inverse:function(t){return m(i,s,t)}},h&&(a.oProj=i),a)}function d(t,s){return s=s||5,i=function(t){var s,i,a,h,e,n,r=t.lat,o=t.lon,l=_(r),M=_(o);n=Math.floor((o+180)/6)+1,180===o&&(n=60),56<=r&&r<64&&3<=o&&o<12&&(n=32),72<=r&&r<84&&(0<=o&&o<9?n=31:9<=o&&o<21?n=33:21<=o&&o<33?n=35:33<=o&&o<42&&(n=37)),e=_(6*(n-1)-180+3),s=6378137/Math.sqrt(1-.00669438*Math.sin(l)*Math.sin(l)),i=Math.tan(l)*Math.tan(l),a=.006739496752268451*Math.cos(l)*Math.cos(l);var c=.9996*s*((h=Math.cos(l)*(M-e))+(1-i+a)*h*h*h/6+(5-18*i+i*i+72*a-.39089081163157013)*h*h*h*h*h/120)+5e5,u=.9996*(6378137*(.9983242984503243*l-.002514607064228144*Math.sin(2*l)+2639046602129982e-21*Math.sin(4*l)-3.418046101696858e-9*Math.sin(6*l))+s*Math.tan(l)*(h*h/2+(5-i+9*a+4*a*a)*h*h*h*h/24+(61-58*i+i*i+600*a-2.2240339282485886)*h*h*h*h*h*h/720));return r<0&&(u+=1e7),{northing:Math.round(u),easting:Math.round(c),zoneNumber:n,zoneLetter:function(t){var s="Z";return t<=84&&72<=t?s="X":t<72&&64<=t?s="W":t<64&&56<=t?s="V":t<56&&48<=t?s="U":t<48&&40<=t?s="T":t<40&&32<=t?s="S":t<32&&24<=t?s="R":t<24&&16<=t?s="Q":t<16&&8<=t?s="P":t<8&&0<=t?s="N":t<0&&-8<=t?s="M":t<-8&&-16<=t?s="L":t<-16&&-24<=t?s="K":t<-24&&-32<=t?s="J":t<-32&&-40<=t?s="H":t<-40&&-48<=t?s="G":t<-48&&-56<=t?s="F":t<-56&&-64<=t?s="E":t<-64&&-72<=t?s="D":t<-72&&-80<=t&&(s="C"),s}(r)}}({lat:t[1],lon:t[0]}),a=s,h="00000"+i.easting,e="00000"+i.northing,i.zoneNumber+i.zoneLetter+function(t,s,i){var a=b(i);return function(t,s,i){var a=i-1,h=Pt.charCodeAt(a),e=St.charCodeAt(a),n=h+t-1,r=e+s,o=!1;return It<n&&(n=n-It+Nt-1,o=!0),(n===kt||h<kt&&kt<n||(kt<n||h<kt)&&o)&&n++,(n===Et||h<Et&&Et<n||(Et<n||h<Et)&&o)&&++n===kt&&n++,It<n&&(n=n-It+Nt-1),o=qt<r&&(r=r-qt+Nt-1,!0),(r===kt||e<kt&&kt<r||(kt<r||e<kt)&&o)&&r++,(r===Et||e<Et&&Et<r||(Et<r||e<Et)&&o)&&++r===kt&&r++,qt<r&&(r=r-qt+Nt-1),String.fromCharCode(n)+String.fromCharCode(r)}(Math.floor(t/1e5),Math.floor(s/1e5)%20,a)}(i.easting,i.northing,i.zoneNumber)+h.substr(h.length-5,a)+e.substr(e.length-5,a);var i,a,h,e}function y(t){var s=g(v(t.toUpperCase()));return s.lat&&s.lon?[s.lon,s.lat]:[(s.left+s.right)/2,(s.top+s.bottom)/2]}function _(t){return t*(Math.PI/180)}function x(t){return t/Math.PI*180}function g(t){var s=t.northing,i=t.easting,a=t.zoneLetter,h=t.zoneNumber;if(h<0||60<h)return null;var e,n,r,o,l,M,c,u,f=(1-Math.sqrt(.99330562))/(1+Math.sqrt(.99330562)),m=i-5e5,p=s;a<"N"&&(p-=1e7),M=6*(h-1)-180+3,u=(c=p/.9996/6367449.145945056)+(3*f/2-27*f*f*f/32)*Math.sin(2*c)+(21*f*f/16-55*f*f*f*f/32)*Math.sin(4*c)+151*f*f*f/96*Math.sin(6*c),e=6378137/Math.sqrt(1-.00669438*Math.sin(u)*Math.sin(u)),n=Math.tan(u)*Math.tan(u),r=.006739496752268451*Math.cos(u)*Math.cos(u),o=6335439.32722994/Math.pow(1-.00669438*Math.sin(u)*Math.sin(u),1.5),l=m/(.9996*e);var d,y=x(y=u-e*Math.tan(u)/o*(l*l/2-(5+3*n+10*r-4*r*r-.06065547077041606)*l*l*l*l/24+(61+90*n+298*r+45*n*n-1.6983531815716497-3*r*r)*l*l*l*l*l*l/720)),_=M+x(_=(l-(1+2*n+r)*l*l*l/6+(5-2*r+28*n-3*r*r+.05391597401814761+24*n*n)*l*l*l*l*l/120)/Math.cos(u));return t.accuracy?{top:(d=g({northing:t.northing+t.accuracy,easting:t.easting+t.accuracy,zoneLetter:t.zoneLetter,zoneNumber:t.zoneNumber})).lat,right:d.lon,bottom:y,left:_}:{lat:y,lon:_}}function b(t){var s=t%Ct;return 0===s&&(s=Ct),s}function v(t){if(t&&0===t.length)throw"MGRSPoint coverting from nothing";for(var s,i=t.length,a=null,h="",e=0;!/[A-Z]/.test(s=t.charAt(e));){if(2<=e)throw"MGRSPoint bad conversion from: "+t;h+=s,e++}var n=parseInt(h,10);if(0===e||i<e+3)throw"MGRSPoint bad conversion from: "+t;var r=t.charAt(e++);if(r<="A"||"B"===r||"Y"===r||"Z"<=r||"I"===r||"O"===r)throw"MGRSPoint zone letter "+r+" not handled: "+t;a=t.substring(e,e+=2);for(var o=b(n),l=function(t,s){for(var i=Pt.charCodeAt(s-1),a=1e5,h=!1;i!==t.charCodeAt(0);){if(++i===kt&&i++,i===Et&&i++,It<i){if(h)throw"Bad character: "+t;i=Nt,h=!0}a+=1e5}return a}(a.charAt(0),o),M=function(t,s){if("V"<t)throw"MGRSPoint given invalid Northing "+t;for(var i=St.charCodeAt(s-1),a=0,h=!1;i!==t.charCodeAt(0);){if(++i===kt&&i++,i===Et&&i++,qt<i){if(h)throw"Bad character: "+t;i=Nt,h=!0}a+=1e5}return a}(a.charAt(1),o);M<w(r);)M+=2e6;var c=i-e;if(c%2!=0)throw"MGRSPoint has to have an even number \nof digits after the zone letter and two 100km letters - front \nhalf for easting meters, second half for \nnorthing meters"+t;var u,f,m,p=c/2,d=0,y=0;return 0<p&&(u=1e5/Math.pow(10,p),f=t.substring(e,e+p),d=parseFloat(f)*u,m=t.substring(e+p),y=parseFloat(m)*u),{easting:d+l,northing:y+M,zoneLetter:r,zoneNumber:n,accuracy:u}}function w(t){var s;switch(t){case"C":s=11e5;break;case"D":s=2e6;break;case"E":s=28e5;break;case"F":s=37e5;break;case"G":s=46e5;break;case"H":s=55e5;break;case"J":s=64e5;break;case"K":s=73e5;break;case"L":s=82e5;break;case"M":s=91e5;break;case"N":s=0;break;case"P":s=8e5;break;case"Q":s=17e5;break;case"R":s=26e5;break;case"S":s=35e5;break;case"T":s=44e5;break;case"U":s=53e5;break;case"V":s=62e5;break;case"W":s=7e6;break;case"X":s=79e5;break;default:s=-1}if(0<=s)return s;throw"Invalid zone letter: "+t}function C(t,s,i){if(!(this instanceof C))return new C(t,s,i);var a;Array.isArray(t)?(this.x=t[0],this.y=t[1],this.z=t[2]||0):"object"==typeof t?(this.x=t.x,this.y=t.y,this.z=t.z||0):"string"==typeof t&&void 0===s?(a=t.split(","),this.x=parseFloat(a[0],10),this.y=parseFloat(a[1],10),this.z=parseFloat(a[2],10)||0):(this.x=t,this.y=s,this.z=i||0),console.warn("proj4.Point will be removed in version 3, use proj4.toPoint")}function P(t,s,i,a){var h;return t<D?(a.value=Os,h=0):(h=Math.atan2(s,i),Math.abs(h)<=U?a.value=Os:U<h&&h<=z+U?(a.value=As,h-=z):z+U<h||h<=-(z+U)?(a.value=Gs,h=0<=h?h-Q:h+Q):(a.value=js,h+=z)),h}function S(t,s){var i=t+s;return i<-Q?i+=F:+Q<i&&(i-=F),i}var 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s=k(W,t);h.from_greenwich=(s||parseFloat(t))*N},nadgrids:function(t){"@null"===t?h.datumCode="none":h.nadgrids=t},axis:function(t){3===t.length&&-1!=="ewnsud".indexOf(t.substr(0,1))&&-1!=="ewnsud".indexOf(t.substr(1,1))&&-1!=="ewnsud".indexOf(t.substr(2,1))&&(h.axis=t)}};for(s in e)i=e[s],s in n?"function"==typeof(a=n[s])?a(i):h[a]=i:h[s]=i;return"string"==typeof h.datumCode&&"WGS84"!==h.datumCode&&(h.datumCode=h.datumCode.toLowerCase()),h},K=1,V=/\s/,Z=/[A-Za-z]/,Y=/[A-Za-z84]/,$=/[,\]]/,tt=/[\d\.E\-\+]/;e.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;V.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case K:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},e.prototype.afterquote=function(t){if('"'===t)return this.word+='"',void(this.state=4);if($.test(t))return 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f=this.es?(l=this.ml0+x/this.k0,s=jt(l,this.es,this.en),Math.abs(s)<z?(i=Math.sin(s),a=Math.cos(s),h=Math.abs(a)>D?Math.tan(s):0,e=this.ep2*Math.pow(a,2),n=Math.pow(e,2),r=Math.pow(h,2),o=Math.pow(r,2),l=1-this.es*Math.pow(i,2),M=_*Math.sqrt(l)/this.k0,u=s-(l*=h)*(c=Math.pow(M,2))/(1-this.es)*.5*(1-c/12*(5+3*r-9*e*r+e-4*n-c/30*(61+90*r-252*e*r+45*o+46*e-c/56*(1385+3633*r+4095*o+1574*o*r)))),nt(this.long0+M*(1-c/6*(1+2*r+e-c/20*(5+28*r+24*o+8*e*r+6*e-c/42*(61+662*r+1320*o+720*o*r))))/a)):(u=z*et(x),0)):(p=.5*((m=Math.exp(_/this.k0))-1/m),d=this.lat0+x/this.k0,y=Math.cos(d),l=Math.sqrt((1-Math.pow(y,2))/(1+Math.pow(p,2))),u=Math.asin(l),x<0&&(u=-u),0==p&&0===y?0:nt(Math.atan2(p,y)+this.long0)),t.x=f,t.y=u,t},names:["Transverse_Mercator","Transverse Mercator","tmerc"]},is={init:function(){if(void 0===this.es||this.es<=0)throw new Error("incorrect elliptical usage");this.x0=void 0!==this.x0?this.x0:0,this.y0=void 0!==this.y0?this.y0:0,this.long0=void 0!==this.long0?this.long0:0,this.lat0=void 0!==this.lat0?this.lat0:0,this.cgb=[],this.cbg=[],this.utg=[],this.gtu=[];var t=this.es/(1+Math.sqrt(1-this.es)),s=t/(2-t),i=s;this.cgb[0]=s*(2+s*(-2/3+s*(s*(116/45+s*(26/45+-2854/675*s))-2))),this.cbg[0]=s*(s*(2/3+s*(4/3+s*(-82/45+s*(32/45+4642/4725*s))))-2),i*=s,this.cgb[1]=i*(7/3+s*(s*(-227/45+s*(2704/315+2323/945*s))-1.6)),this.cbg[1]=i*(5/3+s*(-16/15+s*(-13/9+s*(904/315+-1522/945*s)))),i*=s,this.cgb[2]=i*(56/15+s*(-136/35+s*(-1262/105+73814/2835*s))),this.cbg[2]=i*(-26/15+s*(34/21+s*(1.6+-12686/2835*s))),i*=s,this.cgb[3]=i*(4279/630+s*(-332/35+-399572/14175*s)),this.cbg[3]=i*(1237/630+s*(-24832/14175*s-2.4)),i*=s,this.cgb[4]=i*(4174/315+-144838/6237*s),this.cbg[4]=i*(-734/315+109598/31185*s),i*=s,this.cgb[5]=i*(601676/22275),this.cbg[5]=i*(444337/155925),i=Math.pow(s,2),this.Qn=this.k0/(1+s)*(1+i*(.25+i*(1/64+i/256))),this.utg[0]=s*(s*(2/3+s*(-37/96+s*(1/360+s*(81/512+-96199/604800*s))))-.5),this.gtu[0]=s*(.5+s*(-2/3+s*(5/16+s*(41/180+s*(-127/288+7891/37800*s))))),this.utg[1]=i*(-1/48+s*(-1/15+s*(437/1440+s*(-46/105+1118711/3870720*s)))),this.gtu[1]=i*(13/48+s*(s*(557/1440+s*(281/630+-1983433/1935360*s))-.6)),i*=s,this.utg[2]=i*(-17/480+s*(37/840+s*(209/4480+-5569/90720*s))),this.gtu[2]=i*(61/240+s*(-103/140+s*(15061/26880+167603/181440*s))),i*=s,this.utg[3]=i*(-4397/161280+s*(11/504+830251/7257600*s)),this.gtu[3]=i*(49561/161280+s*(-179/168+6601661/7257600*s)),i*=s,this.utg[4]=i*(-4583/161280+108847/3991680*s),this.gtu[4]=i*(34729/80640+-3418889/1995840*s),i*=s,this.utg[5]=-.03233083094085698*i,this.gtu[5]=.6650675310896665*i;var a=Tt(this.cbg,this.lat0);this.Zb=-this.Qn*(a+function(t,s){for(var i,a=2*Math.cos(s),h=t.length-1,e=t[h],n=0;0<=--h;)i=a*e-n+t[h],n=e,e=i;return Math.sin(s)*i}(this.gtu,2*a))},forward:function(t){var s=nt(t.x-this.long0),i=t.y,i=Tt(this.cbg,i),a=Math.sin(i),h=Math.cos(i),e=Math.sin(s),n=Math.cos(s);i=Math.atan2(a,n*h),s=Math.atan2(e*h,Rt(a,h*n)),s=Lt(Math.tan(s));var r,o,l=Dt(this.gtu,2*i,2*s);return i+=l[0],s+=l[1],o=Math.abs(s)<=2.623395162778?(r=this.a*(this.Qn*s)+this.x0,this.a*(this.Qn*i+this.Zb)+this.y0):r=1/0,t.x=r,t.y=o,t},inverse:function(t){var s,i,a,h,e,n,r,o=(t.x-this.x0)*(1/this.a),l=(t.y-this.y0)*(1/this.a);return l=(l-this.Zb)/this.Qn,o/=this.Qn,r=Math.abs(o)<=2.623395162778?(l+=(s=Dt(this.utg,2*l,2*o))[0],o+=s[1],o=Math.atan(zt(o)),i=Math.sin(l),a=Math.cos(l),h=Math.sin(o),e=Math.cos(o),l=Math.atan2(i*e,Rt(h,e*a)),o=Math.atan2(h,e*a),n=nt(o+this.long0),Tt(this.cgb,l)):n=1/0,t.x=n,t.y=r,t},names:["Extended_Transverse_Mercator","Extended Transverse Mercator","etmerc"]},as={init:function(){var t=function(t,s){if(void 0===t){if((t=Math.floor(30*(nt(s)+Math.PI)/Math.PI)+1)<0)return 0;if(60<t)return 60}return t}(this.zone,this.long0);if(void 0===t)throw new Error("unknown utm zone");this.lat0=0,this.long0=(6*Math.abs(t)-183)*N,this.x0=5e5,this.y0=this.utmSouth?1e7:0,this.k0=.9996,is.init.apply(this),this.forward=is.forward,this.inverse=is.inverse},names:["Universal Transverse Mercator System","utm"],dependsOn:"etmerc"},hs={init:function(){var t=Math.sin(this.lat0),s=Math.cos(this.lat0);s*=s,this.rc=Math.sqrt(1-this.es)/(1-this.es*t*t),this.C=Math.sqrt(1+this.es*s*s/(1-this.es)),this.phic0=Math.asin(t/this.C),this.ratexp=.5*this.C*this.e,this.K=Math.tan(.5*this.phic0+U)/(Math.pow(Math.tan(.5*this.lat0+U),this.C)*Bt(this.e*t,this.ratexp))},forward:function(t){var s=t.x,i=t.y;return t.y=2*Math.atan(this.K*Math.pow(Math.tan(.5*i+U),this.C)*Bt(this.e*Math.sin(i),this.ratexp))-z,t.x=this.C*s,t},inverse:function(t){for(var s=t.x/this.C,i=t.y,a=Math.pow(Math.tan(.5*i+U)/this.K,1/this.C),h=20;0<h&&(i=2*Math.atan(a*Bt(this.e*Math.sin(t.y),-.5*this.e))-z,!(Math.abs(i-t.y)<1e-14));--h)t.y=i;return h?(t.x=s,t.y=i,t):null},names:["gauss"]},es={init:function(){hs.init.apply(this),this.rc&&(this.sinc0=Math.sin(this.phic0),this.cosc0=Math.cos(this.phic0),this.R2=2*this.rc,this.title||(this.title="Oblique Stereographic Alternative"))},forward:function(t){var s,i,a,h;return t.x=nt(t.x-this.long0),hs.forward.apply(this,[t]),s=Math.sin(t.y),i=Math.cos(t.y),a=Math.cos(t.x),h=this.k0*this.R2/(1+this.sinc0*s+this.cosc0*i*a),t.x=h*i*Math.sin(t.x),t.y=h*(this.cosc0*s-this.sinc0*i*a),t.x=this.a*t.x+this.x0,t.y=this.a*t.y+this.y0,t},inverse:function(t){var s,i,a,h,e,n;return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,t.x/=this.k0,t.y/=this.k0,n=(s=Math.sqrt(t.x*t.x+t.y*t.y))?(i=2*Math.atan2(s,this.R2),a=Math.sin(i),h=Math.cos(i),e=Math.asin(h*this.sinc0+t.y*a*this.cosc0/s),Math.atan2(t.x*a,s*this.cosc0*h-t.y*this.sinc0*a)):(e=this.phic0,0),t.x=n,t.y=e,hs.inverse.apply(this,[t]),t.x=nt(t.x+this.long0),t},names:["Stereographic_North_Pole","Oblique_Stereographic","Polar_Stereographic","sterea","Oblique Stereographic Alternative","Double_Stereographic"]},ns={init:function(){this.coslat0=Math.cos(this.lat0),this.sinlat0=Math.sin(this.lat0),this.sphere?1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=D&&(this.k0=.5*(1+et(this.lat0)*Math.sin(this.lat_ts))):(Math.abs(this.coslat0)<=D&&(0<this.lat0?this.con=1:this.con=-1),this.cons=Math.sqrt(Math.pow(1+this.e,1+this.e)*Math.pow(1-this.e,1-this.e)),1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=D&&(this.k0=.5*this.cons*ht(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts))/rt(this.e,this.con*this.lat_ts,this.con*Math.sin(this.lat_ts))),this.ms1=ht(this.e,this.sinlat0,this.coslat0),this.X0=2*Math.atan(this.ssfn_(this.lat0,this.sinlat0,this.e))-z,this.cosX0=Math.cos(this.X0),this.sinX0=Math.sin(this.X0))},forward:function(t){var s,i,a,h,e,n,r=t.x,o=t.y,l=Math.sin(o),M=Math.cos(o),c=nt(r-this.long0);return Math.abs(Math.abs(r-this.long0)-Math.PI)<=D&&Math.abs(o+this.lat0)<=D?(t.x=NaN,t.y=NaN):this.sphere?(s=2*this.k0/(1+this.sinlat0*l+this.coslat0*M*Math.cos(c)),t.x=this.a*s*M*Math.sin(c)+this.x0,t.y=this.a*s*(this.coslat0*l-this.sinlat0*M*Math.cos(c))+this.y0):(i=2*Math.atan(this.ssfn_(o,l,this.e))-z,h=Math.cos(i),a=Math.sin(i),Math.abs(this.coslat0)<=D?(e=rt(this.e,o*this.con,this.con*l),n=2*this.a*this.k0*e/this.cons,t.x=this.x0+n*Math.sin(r-this.long0),t.y=this.y0-this.con*n*Math.cos(r-this.long0)):(Math.abs(this.sinlat0)<D?(s=2*this.a*this.k0/(1+h*Math.cos(c)),t.y=s*a):(s=2*this.a*this.k0*this.ms1/(this.cosX0*(1+this.sinX0*a+this.cosX0*h*Math.cos(c))),t.y=s*(this.cosX0*a-this.sinX0*h*Math.cos(c))+this.y0),t.x=s*h*Math.sin(c)+this.x0)),t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s,i,a,h=Math.sqrt(t.x*t.x+t.y*t.y);if(this.sphere){var e=2*Math.atan(h/(2*this.a*this.k0)),n=this.long0,r=this.lat0;return h<=D||(r=Math.asin(Math.cos(e)*this.sinlat0+t.y*Math.sin(e)*this.coslat0/h),n=nt(Math.abs(this.coslat0)<D?0<this.lat0?this.long0+Math.atan2(t.x,-1*t.y):this.long0+Math.atan2(t.x,t.y):this.long0+Math.atan2(t.x*Math.sin(e),h*this.coslat0*Math.cos(e)-t.y*this.sinlat0*Math.sin(e)))),t.x=n,t.y=r,t}if(Math.abs(this.coslat0)<=D){if(h<=D)return r=this.lat0,n=this.long0,t.x=n,t.y=r,t;t.x*=this.con,t.y*=this.con,s=h*this.cons/(2*this.a*this.k0),r=this.con*ot(this.e,s),n=this.con*nt(this.con*this.long0+Math.atan2(t.x,-1*t.y))}else i=2*Math.atan(h*this.cosX0/(2*this.a*this.k0*this.ms1)),n=this.long0,h<=D?a=this.X0:(a=Math.asin(Math.cos(i)*this.sinX0+t.y*Math.sin(i)*this.cosX0/h),n=nt(this.long0+Math.atan2(t.x*Math.sin(i),h*this.cosX0*Math.cos(i)-t.y*this.sinX0*Math.sin(i)))),r=-1*ot(this.e,Math.tan(.5*(z+a)));return t.x=n,t.y=r,t},names:["stere","Stereographic_South_Pole","Polar Stereographic (variant B)"],ssfn_:function(t,s,i){return s*=i,Math.tan(.5*(z+t))*Math.pow((1-s)/(1+s),.5*i)}},rs={init:function(){var t=this.lat0;this.lambda0=this.long0;var s=Math.sin(t),i=this.a,a=1/this.rf,h=2*a-Math.pow(a,2),e=this.e=Math.sqrt(h);this.R=this.k0*i*Math.sqrt(1-h)/(1-h*Math.pow(s,2)),this.alpha=Math.sqrt(1+h/(1-h)*Math.pow(Math.cos(t),4)),this.b0=Math.asin(s/this.alpha);var n=Math.log(Math.tan(Math.PI/4+this.b0/2)),r=Math.log(Math.tan(Math.PI/4+t/2)),o=Math.log((1+e*s)/(1-e*s));this.K=n-this.alpha*r+this.alpha*e/2*o},forward:function(t){var s=Math.log(Math.tan(Math.PI/4-t.y/2)),i=this.e/2*Math.log((1+this.e*Math.sin(t.y))/(1-this.e*Math.sin(t.y))),a=-this.alpha*(s+i)+this.K,h=2*(Math.atan(Math.exp(a))-Math.PI/4),e=this.alpha*(t.x-this.lambda0),n=Math.atan(Math.sin(e)/(Math.sin(this.b0)*Math.tan(h)+Math.cos(this.b0)*Math.cos(e))),r=Math.asin(Math.cos(this.b0)*Math.sin(h)-Math.sin(this.b0)*Math.cos(h)*Math.cos(e));return t.y=this.R/2*Math.log((1+Math.sin(r))/(1-Math.sin(r)))+this.y0,t.x=this.R*n+this.x0,t},inverse:function(t){for(var s=t.x-this.x0,i=t.y-this.y0,a=s/this.R,h=2*(Math.atan(Math.exp(i/this.R))-Math.PI/4),e=Math.asin(Math.cos(this.b0)*Math.sin(h)+Math.sin(this.b0)*Math.cos(h)*Math.cos(a)),n=Math.atan(Math.sin(a)/(Math.cos(this.b0)*Math.cos(a)-Math.sin(this.b0)*Math.tan(h))),r=this.lambda0+n/this.alpha,o=0,l=e,M=-1e3,c=0;1e-7<Math.abs(l-M);){if(20<++c)return;o=1/this.alpha*(Math.log(Math.tan(Math.PI/4+e/2))-this.K)+this.e*Math.log(Math.tan(Math.PI/4+Math.asin(this.e*Math.sin(l))/2)),M=l,l=2*Math.atan(Math.exp(o))-Math.PI/2}return t.x=r,t.y=l,t},names:["somerc"]},os={init:function(){this.no_off=this.no_off||!1,this.no_rot=this.no_rot||!1,isNaN(this.k0)&&(this.k0=1);var t=Math.sin(this.lat0),s=Math.cos(this.lat0),i=this.e*t;this.bl=Math.sqrt(1+this.es/(1-this.es)*Math.pow(s,4)),this.al=this.a*this.bl*this.k0*Math.sqrt(1-this.es)/(1-i*i);var a,h,e,n,r,o,l,M,c,u,f=rt(this.e,this.lat0,t),m=this.bl/s*Math.sqrt((1-this.es)/(1-i*i));m*m<1&&(m=1),isNaN(this.longc)?(h=rt(this.e,this.lat1,Math.sin(this.lat1)),e=rt(this.e,this.lat2,Math.sin(this.lat2)),0<=this.lat0?this.el=(m+Math.sqrt(m*m-1))*Math.pow(f,this.bl):this.el=(m-Math.sqrt(m*m-1))*Math.pow(f,this.bl),n=Math.pow(h,this.bl),r=Math.pow(e,this.bl),o=.5*((a=this.el/n)-1/a),l=(this.el*this.el-r*n)/(this.el*this.el+r*n),M=(r-n)/(r+n),c=nt(this.long1-this.long2),this.long0=.5*(this.long1+this.long2)-Math.atan(l*Math.tan(.5*this.bl*c)/M)/this.bl,this.long0=nt(this.long0),u=nt(this.long1-this.long0),this.gamma0=Math.atan(Math.sin(this.bl*u)/o),this.alpha=Math.asin(m*Math.sin(this.gamma0))):(a=0<=this.lat0?m+Math.sqrt(m*m-1):m-Math.sqrt(m*m-1),this.el=a*Math.pow(f,this.bl),o=.5*(a-1/a),this.gamma0=Math.asin(Math.sin(this.alpha)/m),this.long0=this.longc-Math.asin(o*Math.tan(this.gamma0))/this.bl),this.no_off?this.uc=0:0<=this.lat0?this.uc=this.al/this.bl*Math.atan2(Math.sqrt(m*m-1),Math.cos(this.alpha)):this.uc=-1*this.al/this.bl*Math.atan2(Math.sqrt(m*m-1),Math.cos(this.alpha))},forward:function(t){var s,i,a,h,e,n,r,o,l,M=t.x,c=t.y,u=nt(M-this.long0);return l=Math.abs(Math.abs(c)-z)<=D?(s=0<c?-1:1,o=this.al/this.bl*Math.log(Math.tan(U+s*this.gamma0*.5)),-1*s*z*this.al/this.bl):(i=rt(this.e,c,Math.sin(c)),h=.5*((a=this.el/Math.pow(i,this.bl))-1/a),e=.5*(a+1/a),n=Math.sin(this.bl*u),r=(h*Math.sin(this.gamma0)-n*Math.cos(this.gamma0))/e,o=Math.abs(Math.abs(r)-1)<=D?Number.POSITIVE_INFINITY:.5*this.al*Math.log((1-r)/(1+r))/this.bl,Math.abs(Math.cos(this.bl*u))<=D?this.al*this.bl*u:this.al*Math.atan2(h*Math.cos(this.gamma0)+n*Math.sin(this.gamma0),Math.cos(this.bl*u))/this.bl),this.no_rot?(t.x=this.x0+l,t.y=this.y0+o):(l-=this.uc,t.x=this.x0+o*Math.cos(this.alpha)+l*Math.sin(this.alpha),t.y=this.y0+l*Math.cos(this.alpha)-o*Math.sin(this.alpha)),t},inverse:function(t){var s,i;this.no_rot?(i=t.y-this.y0,s=t.x-this.x0):(i=(t.x-this.x0)*Math.cos(this.alpha)-(t.y-this.y0)*Math.sin(this.alpha),s=(t.y-this.y0)*Math.cos(this.alpha)+(t.x-this.x0)*Math.sin(this.alpha),s+=this.uc);var a=Math.exp(-1*this.bl*i/this.al),h=.5*(a-1/a),e=.5*(a+1/a),n=Math.sin(this.bl*s/this.al),r=(n*Math.cos(this.gamma0)+h*Math.sin(this.gamma0))/e,o=Math.pow(this.el/Math.sqrt((1+r)/(1-r)),1/this.bl);return Math.abs(r-1)<D?(t.x=this.long0,t.y=z):Math.abs(1+r)<D?(t.x=this.long0,t.y=-1*z):(t.y=ot(this.e,o),t.x=nt(this.long0-Math.atan2(h*Math.cos(this.gamma0)-n*Math.sin(this.gamma0),Math.cos(this.bl*s/this.al))/this.bl)),t},names:["Hotine_Oblique_Mercator","Hotine Oblique Mercator","Hotine_Oblique_Mercator_Azimuth_Natural_Origin","Hotine_Oblique_Mercator_Azimuth_Center","omerc"]},ls={init:function(){var t,s,i,a,h,e,n,r,o,l;this.lat2||(this.lat2=this.lat1),this.k0||(this.k0=1),this.x0=this.x0||0,this.y0=this.y0||0,Math.abs(this.lat1+this.lat2)<D||(t=this.b/this.a,this.e=Math.sqrt(1-t*t),s=Math.sin(this.lat1),i=Math.cos(this.lat1),a=ht(this.e,s,i),h=rt(this.e,this.lat1,s),e=Math.sin(this.lat2),n=Math.cos(this.lat2),r=ht(this.e,e,n),o=rt(this.e,this.lat2,e),l=rt(this.e,this.lat0,Math.sin(this.lat0)),Math.abs(this.lat1-this.lat2)>D?this.ns=Math.log(a/r)/Math.log(h/o):this.ns=s,isNaN(this.ns)&&(this.ns=s),this.f0=a/(this.ns*Math.pow(h,this.ns)),this.rh=this.a*this.f0*Math.pow(l,this.ns),this.title||(this.title="Lambert Conformal Conic"))},forward:function(t){var s=t.x,i=t.y;Math.abs(2*Math.abs(i)-Math.PI)<=D&&(i=et(i)*(z-2*D));var a,h,e=Math.abs(Math.abs(i)-z);if(D<e)a=rt(this.e,i,Math.sin(i)),h=this.a*this.f0*Math.pow(a,this.ns);else{if((e=i*this.ns)<=0)return null;h=0}var n=this.ns*nt(s-this.long0);return t.x=this.k0*(h*Math.sin(n))+this.x0,t.y=this.k0*(this.rh-h*Math.cos(n))+this.y0,t},inverse:function(t){var s,i,a,h,e=(t.x-this.x0)/this.k0,n=this.rh-(t.y-this.y0)/this.k0,r=0<this.ns?(s=Math.sqrt(e*e+n*n),1):(s=-Math.sqrt(e*e+n*n),-1),o=0;if(0!==s&&(o=Math.atan2(r*e,r*n)),0!==s||0<this.ns){if(r=1/this.ns,i=Math.pow(s/(this.a*this.f0),r),-9999===(a=ot(this.e,i)))return null}else a=-z;return h=nt(o/this.ns+this.long0),t.x=h,t.y=a,t},names:["Lambert Tangential Conformal Conic Projection","Lambert_Conformal_Conic","Lambert_Conformal_Conic_2SP","lcc"]},Ms={init:function(){this.a=6377397.155,this.es=.006674372230614,this.e=Math.sqrt(this.es),this.lat0||(this.lat0=.863937979737193),this.long0||(this.long0=.4334234309119251),this.k0||(this.k0=.9999),this.s45=.785398163397448,this.s90=2*this.s45,this.fi0=this.lat0,this.e2=this.es,this.e=Math.sqrt(this.e2),this.alfa=Math.sqrt(1+this.e2*Math.pow(Math.cos(this.fi0),4)/(1-this.e2)),this.uq=1.04216856380474,this.u0=Math.asin(Math.sin(this.fi0)/this.alfa),this.g=Math.pow((1+this.e*Math.sin(this.fi0))/(1-this.e*Math.sin(this.fi0)),this.alfa*this.e/2),this.k=Math.tan(this.u0/2+this.s45)/Math.pow(Math.tan(this.fi0/2+this.s45),this.alfa)*this.g,this.k1=this.k0,this.n0=this.a*Math.sqrt(1-this.e2)/(1-this.e2*Math.pow(Math.sin(this.fi0),2)),this.s0=1.37008346281555,this.n=Math.sin(this.s0),this.ro0=this.k1*this.n0/Math.tan(this.s0),this.ad=this.s90-this.uq},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=Math.pow((1+this.e*Math.sin(i))/(1-this.e*Math.sin(i)),this.alfa*this.e/2),e=2*(Math.atan(this.k*Math.pow(Math.tan(i/2+this.s45),this.alfa)/h)-this.s45),n=-a*this.alfa,r=Math.asin(Math.cos(this.ad)*Math.sin(e)+Math.sin(this.ad)*Math.cos(e)*Math.cos(n)),o=Math.asin(Math.cos(e)*Math.sin(n)/Math.cos(r)),l=this.n*o,M=this.ro0*Math.pow(Math.tan(this.s0/2+this.s45),this.n)/Math.pow(Math.tan(r/2+this.s45),this.n);return t.y=M*Math.cos(l),t.x=M*Math.sin(l),this.czech||(t.y*=-1,t.x*=-1),t},inverse:function(t){var s,i,a,h,e,n,r,o=t.x;t.x=t.y,t.y=o,this.czech||(t.y*=-1,t.x*=-1),e=Math.sqrt(t.x*t.x+t.y*t.y),h=Math.atan2(t.y,t.x)/Math.sin(this.s0),a=2*(Math.atan(Math.pow(this.ro0/e,1/this.n)*Math.tan(this.s0/2+this.s45))-this.s45),s=Math.asin(Math.cos(this.ad)*Math.sin(a)-Math.sin(this.ad)*Math.cos(a)*Math.cos(h)),i=Math.asin(Math.cos(a)*Math.sin(h)/Math.cos(s)),t.x=this.long0-i/this.alfa,n=s;for(var l=r=0;t.y=2*(Math.atan(Math.pow(this.k,-1/this.alfa)*Math.pow(Math.tan(s/2+this.s45),1/this.alfa)*Math.pow((1+this.e*Math.sin(n))/(1-this.e*Math.sin(n)),this.e/2))-this.s45),Math.abs(n-t.y)<1e-10&&(r=1),n=t.y,l+=1,0===r&&l<15;);return 15<=l?null:t},names:["Krovak","krovak"]},cs={init:function(){this.sphere||(this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.ml0=this.a*Ut(this.e0,this.e1,this.e2,this.e3,this.lat0))},forward:function(t){var s,i,a,h,e,n,r,o,l,M=t.x,c=t.y,M=nt(M-this.long0);return l=this.sphere?(o=this.a*Math.asin(Math.cos(c)*Math.sin(M)),this.a*(Math.atan2(Math.tan(c),Math.cos(M))-this.lat0)):(s=Math.sin(c),i=Math.cos(c),a=Ht(this.a,this.e,s),h=Math.tan(c)*Math.tan(c),o=a*(e=M*Math.cos(c))*(1-(n=e*e)*h*(1/6-(8-h+8*(r=this.es*i*i/(1-this.es)))*n/120)),this.a*Ut(this.e0,this.e1,this.e2,this.e3,c)-this.ml0+a*s/i*n*(.5+(5-h+6*r)*n/24)),t.x=o+this.x0,t.y=l+this.y0,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s=t.x/this.a,i=t.y/this.a;if(this.sphere)var a=i+this.lat0,h=Math.asin(Math.sin(a)*Math.cos(s)),e=Math.atan2(Math.tan(s),Math.cos(a));else{var n=this.ml0/this.a+i,r=Kt(n,this.e0,this.e1,this.e2,this.e3);if(Math.abs(Math.abs(r)-z)<=D)return t.x=this.long0,t.y=z,i<0&&(t.y*=-1),t;var o=Ht(this.a,this.e,Math.sin(r)),l=o*o*o/this.a/this.a*(1-this.es),M=Math.pow(Math.tan(r),2),c=s*this.a/o,u=c*c;h=r-o*Math.tan(r)/l*c*c*(.5-(1+3*M)*c*c/24),e=c*(1-u*(M/3+(1+3*M)*M*u/15))/Math.cos(r)}return t.x=nt(e+this.long0),t.y=Jt(h),t},names:["Cassini","Cassini_Soldner","cass"]},us={init:function(){var t,s,i,a,h=Math.abs(this.lat0);if(Math.abs(h-z)<D?this.mode=this.lat0<0?this.S_POLE:this.N_POLE:Math.abs(h)<D?this.mode=this.EQUIT:this.mode=this.OBLIQ,0<this.es)switch(this.qp=Vt(this.e,1),this.mmf=.5/(1-this.es),this.apa=(s=this.es,(a=[])[0]=.3333333333333333*s,i=s*s,a[0]+=.17222222222222222*i,a[1]=.06388888888888888*i,i*=s,a[0]+=.10257936507936508*i,a[1]+=.0664021164021164*i,a[2]=.016415012942191543*i,a),this.mode){case this.N_POLE:case this.S_POLE:this.dd=1;break;case this.EQUIT:this.rq=Math.sqrt(.5*this.qp),this.dd=1/this.rq,this.xmf=1,this.ymf=.5*this.qp;break;case this.OBLIQ:this.rq=Math.sqrt(.5*this.qp),t=Math.sin(this.lat0),this.sinb1=Vt(this.e,t)/this.qp,this.cosb1=Math.sqrt(1-this.sinb1*this.sinb1),this.dd=Math.cos(this.lat0)/(Math.sqrt(1-this.es*t*t)*this.rq*this.cosb1),this.ymf=(this.xmf=this.rq)/this.dd,this.xmf*=this.dd}else this.mode===this.OBLIQ&&(this.sinph0=Math.sin(this.lat0),this.cosph0=Math.cos(this.lat0))},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c=t.x,u=t.y,c=nt(c-this.long0);if(this.sphere){if(e=Math.sin(u),M=Math.cos(u),a=Math.cos(c),this.mode===this.OBLIQ||this.mode===this.EQUIT){if((i=this.mode===this.EQUIT?1+M*a:1+this.sinph0*e+this.cosph0*M*a)<=D)return null;s=(i=Math.sqrt(2/i))*M*Math.sin(c),i*=this.mode===this.EQUIT?e:this.cosph0*e-this.sinph0*M*a}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(a=-a),Math.abs(u+this.lat0)<D)return null;i=U-.5*u,s=(i=2*(this.mode===this.S_POLE?Math.cos(i):Math.sin(i)))*Math.sin(c),i*=a}}else{switch(l=o=r=0,a=Math.cos(c),h=Math.sin(c),e=Math.sin(u),n=Vt(this.e,e),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(r=n/this.qp,o=Math.sqrt(1-r*r)),this.mode){case this.OBLIQ:l=1+this.sinb1*r+this.cosb1*o*a;break;case this.EQUIT:l=1+o*a;break;case this.N_POLE:l=z+u,n=this.qp-n;break;case this.S_POLE:l=u-z,n=this.qp+n}if(Math.abs(l)<D)return null;switch(this.mode){case this.OBLIQ:case this.EQUIT:l=Math.sqrt(2/l),i=this.mode===this.OBLIQ?this.ymf*l*(this.cosb1*r-this.sinb1*o*a):(l=Math.sqrt(2/(1+o*a)))*r*this.ymf,s=this.xmf*l*o*h;break;case this.N_POLE:case this.S_POLE:0<=n?(s=(l=Math.sqrt(n))*h,i=a*(this.mode===this.S_POLE?l:-l)):s=i=0}}return t.x=this.a*s+this.x0,t.y=this.a*i+this.y0,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s,i,a,h,e,n,r,o,l,M,c=t.x/this.a,u=t.y/this.a;if(this.sphere){var f=0,m=0,p=Math.sqrt(c*c+u*u);if(1<(i=.5*p))return null;switch(i=2*Math.asin(i),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(m=Math.sin(i),f=Math.cos(i)),this.mode){case this.EQUIT:i=Math.abs(p)<=D?0:Math.asin(u*m/p),c*=m,u=f*p;break;case this.OBLIQ:i=Math.abs(p)<=D?this.lat0:Math.asin(f*this.sinph0+u*m*this.cosph0/p),c*=m*this.cosph0,u=(f-Math.sin(i)*this.sinph0)*p;break;case this.N_POLE:u=-u,i=z-i;break;case this.S_POLE:i-=z}s=0!==u||this.mode!==this.EQUIT&&this.mode!==this.OBLIQ?Math.atan2(c,u):0}else{if(r=0,this.mode===this.OBLIQ||this.mode===this.EQUIT){if(c/=this.dd,u*=this.dd,(n=Math.sqrt(c*c+u*u))<D)return t.x=this.long0,t.y=this.lat0,t;h=2*Math.asin(.5*n/this.rq),a=Math.cos(h),c*=h=Math.sin(h),u=this.mode===this.OBLIQ?(r=a*this.sinb1+u*h*this.cosb1/n,e=this.qp*r,n*this.cosb1*a-u*this.sinb1*h):(r=u*h/n,e=this.qp*r,n*a)}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(u=-u),!(e=c*c+u*u))return t.x=this.long0,t.y=this.lat0,t;r=1-e/this.qp,this.mode===this.S_POLE&&(r=-r)}s=Math.atan2(c,u),o=Math.asin(r),l=this.apa,M=o+o,i=o+l[0]*Math.sin(M)+l[1]*Math.sin(M+M)+l[2]*Math.sin(M+M+M)}return t.x=nt(this.long0+s),t.y=i,t},names:["Lambert Azimuthal Equal Area","Lambert_Azimuthal_Equal_Area","laea"],S_POLE:1,N_POLE:2,EQUIT:3,OBLIQ:4},fs={init:function(){Math.abs(this.lat1+this.lat2)<D||(this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e3=Math.sqrt(this.es),this.sin_po=Math.sin(this.lat1),this.cos_po=Math.cos(this.lat1),this.t1=this.sin_po,this.con=this.sin_po,this.ms1=ht(this.e3,this.sin_po,this.cos_po),this.qs1=Vt(this.e3,this.sin_po,this.cos_po),this.sin_po=Math.sin(this.lat2),this.cos_po=Math.cos(this.lat2),this.t2=this.sin_po,this.ms2=ht(this.e3,this.sin_po,this.cos_po),this.qs2=Vt(this.e3,this.sin_po,this.cos_po),this.sin_po=Math.sin(this.lat0),this.cos_po=Math.cos(this.lat0),this.t3=this.sin_po,this.qs0=Vt(this.e3,this.sin_po,this.cos_po),Math.abs(this.lat1-this.lat2)>D?this.ns0=(this.ms1*this.ms1-this.ms2*this.ms2)/(this.qs2-this.qs1):this.ns0=this.con,this.c=this.ms1*this.ms1+this.ns0*this.qs1,this.rh=this.a*Math.sqrt(this.c-this.ns0*this.qs0)/this.ns0)},forward:function(t){var s=t.x,i=t.y;this.sin_phi=Math.sin(i),this.cos_phi=Math.cos(i);var a=Vt(this.e3,this.sin_phi,this.cos_phi),h=this.a*Math.sqrt(this.c-this.ns0*a)/this.ns0,e=this.ns0*nt(s-this.long0),n=h*Math.sin(e)+this.x0,r=this.rh-h*Math.cos(e)+this.y0;return t.x=n,t.y=r,t},inverse:function(t){var s,i,a,h,e,n;return t.x-=this.x0,t.y=this.rh-t.y+this.y0,a=0<=this.ns0?(s=Math.sqrt(t.x*t.x+t.y*t.y),1):(s=-Math.sqrt(t.x*t.x+t.y*t.y),-1),(h=0)!==s&&(h=Math.atan2(a*t.x,a*t.y)),a=s*this.ns0/this.a,n=this.sphere?Math.asin((this.c-a*a)/(2*this.ns0)):(i=(this.c-a*a)/this.ns0,this.phi1z(this.e3,i)),e=nt(h/this.ns0+this.long0),t.x=e,t.y=n,t},names:["Albers_Conic_Equal_Area","Albers","aea"],phi1z:function(t,s){var i,a,h,e,n=Zt(.5*s);if(t<D)return n;for(var r=t*t,o=1;o<=25;o++)if(n+=e=.5*(h=1-(a=t*(i=Math.sin(n)))*a)*h/Math.cos(n)*(s/(1-r)-i/h+.5/t*Math.log((1-a)/(1+a))),Math.abs(e)<=1e-7)return n;return null}},ms={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0),this.infinity_dist=1e3*this.a,this.rc=1},forward:function(t){var s,i,a=t.x,h=t.y,e=nt(a-this.long0),n=Math.sin(h),r=Math.cos(h),o=Math.cos(e),l=0<(s=this.sin_p14*n+this.cos_p14*r*o)||Math.abs(s)<=D?(i=this.x0+this.a*r*Math.sin(e)/s,this.y0+this.a*(this.cos_p14*n-this.sin_p14*r*o)/s):(i=this.x0+this.infinity_dist*r*Math.sin(e),this.y0+this.infinity_dist*(this.cos_p14*n-this.sin_p14*r*o));return t.x=i,t.y=l,t},inverse:function(t){var s,i,a,h,e,n;return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,t.x/=this.k0,t.y/=this.k0,e=(s=Math.sqrt(t.x*t.x+t.y*t.y))?(h=Math.atan2(s,this.rc),i=Math.sin(h),a=Math.cos(h),n=Zt(a*this.sin_p14+t.y*i*this.cos_p14/s),e=Math.atan2(t.x*i,s*this.cos_p14*a-t.y*this.sin_p14*i),nt(this.long0+e)):(n=this.phic0,0),t.x=e,t.y=n,t},names:["gnom"]},ps={init:function(){this.sphere||(this.k0=ht(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)))},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0);return a=this.sphere?(i=this.x0+this.a*n*Math.cos(this.lat_ts),this.y0+this.a*Math.sin(e)/Math.cos(this.lat_ts)):(s=Vt(this.e,Math.sin(e)),i=this.x0+this.a*this.k0*n,this.y0+this.a*s*.5/this.k0),t.x=i,t.y=a,t},inverse:function(t){var s,i;return t.x-=this.x0,t.y-=this.y0,this.sphere?(s=nt(this.long0+t.x/this.a/Math.cos(this.lat_ts)),i=Math.asin(t.y/this.a*Math.cos(this.lat_ts))):(i=function(t,s){var i=1-(1-t*t)/(2*t)*Math.log((1-t)/(1+t));if(Math.abs(Math.abs(s)-i)<1e-6)return s<0?-1*z:z;for(var a,h,e,n,r=Math.asin(.5*s),o=0;o<30;o++)if(h=Math.sin(r),e=Math.cos(r),n=t*h,r+=a=Math.pow(1-n*n,2)/(2*e)*(s/(1-t*t)-h/(1-n*n)+.5/t*Math.log((1-n)/(1+n))),Math.abs(a)<=1e-10)return r;return NaN}(this.e,2*t.y*this.k0/this.a),s=nt(this.long0+t.x/(this.a*this.k0))),t.x=s,t.y=i,t},names:["cea"]},ds={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Equidistant Cylindrical (Plate Carre)",this.rc=Math.cos(this.lat_ts)},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=Jt(i-this.lat0);return t.x=this.x0+this.a*a*this.rc,t.y=this.y0+this.a*h,t},inverse:function(t){var s=t.x,i=t.y;return t.x=nt(this.long0+(s-this.x0)/(this.a*this.rc)),t.y=Jt(this.lat0+(i-this.y0)/this.a),t},names:["Equirectangular","Equidistant_Cylindrical","eqc"]},ys={init:function(){this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.ml0=this.a*Ut(this.e0,this.e1,this.e2,this.e3,this.lat0)},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0),r=n*Math.sin(e);return a=this.sphere?Math.abs(e)<=D?(i=this.a*n,-1*this.a*this.lat0):(i=this.a*Math.sin(r)/Math.tan(e),this.a*(Jt(e-this.lat0)+(1-Math.cos(r))/Math.tan(e))):Math.abs(e)<=D?(i=this.a*n,-1*this.ml0):(i=(s=Ht(this.a,this.e,Math.sin(e))/Math.tan(e))*Math.sin(r),this.a*Ut(this.e0,this.e1,this.e2,this.e3,e)-this.ml0+s*(1-Math.cos(r))),t.x=i+this.x0,t.y=a+this.y0,t},inverse:function(t){var s,i,a,h,e,n,r,o,l=t.x-this.x0,M=t.y-this.y0;if(this.sphere)if(Math.abs(M+this.a*this.lat0)<=D)s=nt(l/this.a+this.long0),i=0;else{for(var c,u=this.lat0+M/this.a,f=l*l/this.a/this.a+u*u,m=u,p=20;p;--p)if(m+=a=-1*(u*(m*(c=Math.tan(m))+1)-m-.5*(m*m+f)*c)/((m-u)/c-1),Math.abs(a)<=D){i=m;break}s=nt(this.long0+Math.asin(l*Math.tan(m)/this.a)/Math.sin(i))}else if(Math.abs(M+this.ml0)<=D)i=0,s=nt(this.long0+l/this.a);else{for(u=(this.ml0+M)/this.a,f=l*l/this.a/this.a+u*u,m=u,p=20;p;--p)if(o=this.e*Math.sin(m),h=Math.sqrt(1-o*o)*Math.tan(m),e=this.a*Ut(this.e0,this.e1,this.e2,this.e3,m),n=this.e0-2*this.e1*Math.cos(2*m)+4*this.e2*Math.cos(4*m)-6*this.e3*Math.cos(6*m),m-=a=(u*(h*(r=e/this.a)+1)-r-.5*h*(r*r+f))/(this.es*Math.sin(2*m)*(r*r+f-2*u*r)/(4*h)+(u-r)*(h*n-2/Math.sin(2*m))-n),Math.abs(a)<=D){i=m;break}h=Math.sqrt(1-this.es*Math.pow(Math.sin(i),2))*Math.tan(i),s=nt(this.long0+Math.asin(l*h/this.a)/Math.sin(i))}return t.x=s,t.y=i,t},names:["Polyconic","poly"]},_s={init:function(){this.A=[],this.A[1]=.6399175073,this.A[2]=-.1358797613,this.A[3]=.063294409,this.A[4]=-.02526853,this.A[5]=.0117879,this.A[6]=-.0055161,this.A[7]=.0026906,this.A[8]=-.001333,this.A[9]=67e-5,this.A[10]=-34e-5,this.B_re=[],this.B_im=[],this.B_re[1]=.7557853228,this.B_im[1]=0,this.B_re[2]=.249204646,this.B_im[2]=.003371507,this.B_re[3]=-.001541739,this.B_im[3]=.04105856,this.B_re[4]=-.10162907,this.B_im[4]=.01727609,this.B_re[5]=-.26623489,this.B_im[5]=-.36249218,this.B_re[6]=-.6870983,this.B_im[6]=-1.1651967,this.C_re=[],this.C_im=[],this.C_re[1]=1.3231270439,this.C_im[1]=0,this.C_re[2]=-.577245789,this.C_im[2]=-.007809598,this.C_re[3]=.508307513,this.C_im[3]=-.112208952,this.C_re[4]=-.15094762,this.C_im[4]=.18200602,this.C_re[5]=1.01418179,this.C_im[5]=1.64497696,this.C_re[6]=1.9660549,this.C_im[6]=2.5127645,this.D=[],this.D[1]=1.5627014243,this.D[2]=.5185406398,this.D[3]=-.03333098,this.D[4]=-.1052906,this.D[5]=-.0368594,this.D[6]=.007317,this.D[7]=.0122,this.D[8]=.00394,this.D[9]=-.0013},forward:function(t){for(var s=t.x,i=t.y-this.lat0,a=s-this.long0,h=i/j*1e-5,e=a,n=1,r=0,o=1;o<=10;o++)n*=h,r+=this.A[o]*n;var l,M=r,c=e,u=1,f=0,m=0,p=0;for(o=1;o<=6;o++)l=f*M+u*c,u=u*M-f*c,f=l,m=m+this.B_re[o]*u-this.B_im[o]*f,p=p+this.B_im[o]*u+this.B_re[o]*f;return t.x=p*this.a+this.x0,t.y=m*this.a+this.y0,t},inverse:function(t){var s,i=t.x,a=t.y,h=i-this.x0,e=(a-this.y0)/this.a,n=h/this.a,r=1,o=0,l=0,M=0;for(y=1;y<=6;y++)s=o*e+r*n,r=r*e-o*n,o=s,l=l+this.C_re[y]*r-this.C_im[y]*o,M=M+this.C_im[y]*r+this.C_re[y]*o;for(var c=0;c<this.iterations;c++){for(var u,f=l,m=M,p=e,d=n,y=2;y<=6;y++)u=m*l+f*M,f=f*l-m*M,m=u,p+=(y-1)*(this.B_re[y]*f-this.B_im[y]*m),d+=(y-1)*(this.B_im[y]*f+this.B_re[y]*m);f=1,m=0;var _=this.B_re[1],x=this.B_im[1];for(y=2;y<=6;y++)u=m*l+f*M,f=f*l-m*M,m=u,_+=y*(this.B_re[y]*f-this.B_im[y]*m),x+=y*(this.B_im[y]*f+this.B_re[y]*m);var g=_*_+x*x,l=(p*_+d*x)/g,M=(d*_-p*x)/g}var b=l,v=M,w=1,C=0;for(y=1;y<=9;y++)w*=b,C+=this.D[y]*w;var P=this.lat0+C*j*1e5,S=this.long0+v;return t.x=S,t.y=P,t},names:["New_Zealand_Map_Grid","nzmg"]},xs={init:function(){},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=this.x0+this.a*a,e=this.y0+this.a*Math.log(Math.tan(Math.PI/4+i/2.5))*1.25;return t.x=h,t.y=e,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s=nt(this.long0+t.x/this.a),i=2.5*(Math.atan(Math.exp(.8*t.y/this.a))-Math.PI/4);return t.x=s,t.y=i,t},names:["Miller_Cylindrical","mill"]},gs={init:function(){this.sphere?(this.n=1,this.m=0,this.es=0,this.C_y=Math.sqrt((this.m+1)/this.n),this.C_x=this.C_y/(this.m+1)):this.en=At(this.es)},forward:function(t){var s=t.x,i=t.y,s=nt(s-this.long0);if(this.sphere){if(this.m)for(var a=this.n*Math.sin(i),h=20;h;--h){var e=(this.m*i+Math.sin(i)-a)/(this.m+Math.cos(i));if(i-=e,Math.abs(e)<D)break}else i=1!==this.n?Math.asin(this.n*Math.sin(i)):i;l=this.a*this.C_x*s*(this.m+Math.cos(i)),o=this.a*this.C_y*i}else var n=Math.sin(i),r=Math.cos(i),o=this.a*Gt(i,n,r,this.en),l=this.a*s*r/Math.sqrt(1-this.es*n*n);return t.x=l,t.y=o,t},inverse:function(t){var s,i,a,h;return t.x-=this.x0,a=t.x/this.a,t.y-=this.y0,s=t.y/this.a,this.sphere?(s/=this.C_y,a/=this.C_x*(this.m+Math.cos(s)),this.m?s=Zt((this.m*s+Math.sin(s))/this.n):1!==this.n&&(s=Zt(Math.sin(s)/this.n)),a=nt(a+this.long0),s=Jt(s)):(s=jt(t.y/this.a,this.es,this.en),(h=Math.abs(s))<z?(h=Math.sin(s),i=this.long0+t.x*Math.sqrt(1-this.es*h*h)/(this.a*Math.cos(s)),a=nt(i)):h-D<z&&(a=this.long0)),t.x=a,t.y=s,t},names:["Sinusoidal","sinu"]},bs={init:function(){},forward:function(t){for(var s=t.x,i=t.y,a=nt(s-this.long0),h=i,e=Math.PI*Math.sin(i);;){var n=-(h+Math.sin(h)-e)/(1+Math.cos(h));if(h+=n,Math.abs(n)<D)break}h/=2,Math.PI/2-Math.abs(i)<D&&(a=0);var r=.900316316158*this.a*a*Math.cos(h)+this.x0,o=1.4142135623731*this.a*Math.sin(h)+this.y0;return t.x=r,t.y=o,t},inverse:function(t){var s,i;t.x-=this.x0,t.y-=this.y0,i=t.y/(1.4142135623731*this.a),.999999999999<Math.abs(i)&&(i=.999999999999),s=Math.asin(i);var a=nt(this.long0+t.x/(.900316316158*this.a*Math.cos(s)));a<-Math.PI&&(a=-Math.PI),a>Math.PI&&(a=Math.PI),i=(2*s+Math.sin(2*s))/Math.PI,1<Math.abs(i)&&(i=1);var h=Math.asin(i);return t.x=a,t.y=h,t},names:["Mollweide","moll"]},vs={init:function(){Math.abs(this.lat1+this.lat2)<D||(this.lat2=this.lat2||this.lat1,this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.sinphi=Math.sin(this.lat1),this.cosphi=Math.cos(this.lat1),this.ms1=ht(this.e,this.sinphi,this.cosphi),this.ml1=Ut(this.e0,this.e1,this.e2,this.e3,this.lat1),Math.abs(this.lat1-this.lat2)<D?this.ns=this.sinphi:(this.sinphi=Math.sin(this.lat2),this.cosphi=Math.cos(this.lat2),this.ms2=ht(this.e,this.sinphi,this.cosphi),this.ml2=Ut(this.e0,this.e1,this.e2,this.e3,this.lat2),this.ns=(this.ms1-this.ms2)/(this.ml2-this.ml1)),this.g=this.ml1+this.ms1/this.ns,this.ml0=Ut(this.e0,this.e1,this.e2,this.e3,this.lat0),this.rh=this.a*(this.g-this.ml0))},forward:function(t){var s,i,a=t.x,h=t.y;i=this.sphere?this.a*(this.g-h):(s=Ut(this.e0,this.e1,this.e2,this.e3,h),this.a*(this.g-s));var e=this.ns*nt(a-this.long0),n=this.x0+i*Math.sin(e),r=this.y0+this.rh-i*Math.cos(e);return t.x=n,t.y=r,t},inverse:function(t){var s,i;t.x-=this.x0,t.y=this.rh-t.y+this.y0,s=0<=this.ns?(i=Math.sqrt(t.x*t.x+t.y*t.y),1):(i=-Math.sqrt(t.x*t.x+t.y*t.y),-1);var a=0;if(0!==i&&(a=Math.atan2(s*t.x,s*t.y)),this.sphere)return n=nt(this.long0+a/this.ns),e=Jt(this.g-i/this.a),t.x=n,t.y=e,t;var h=this.g-i/this.a,e=Kt(h,this.e0,this.e1,this.e2,this.e3),n=nt(this.long0+a/this.ns);return t.x=n,t.y=e,t},names:["Equidistant_Conic","eqdc"]},ws={init:function(){this.R=this.a},forward:function(t){var s,i=t.x,a=t.y,h=nt(i-this.long0);Math.abs(a)<=D&&(s=this.x0+this.R*h,d=this.y0);var e=Zt(2*Math.abs(a/Math.PI));(Math.abs(h)<=D||Math.abs(Math.abs(a)-z)<=D)&&(s=this.x0,d=0<=a?this.y0+Math.PI*this.R*Math.tan(.5*e):this.y0+Math.PI*this.R*-Math.tan(.5*e));var n=.5*Math.abs(Math.PI/h-h/Math.PI),r=n*n,o=Math.sin(e),l=Math.cos(e),M=l/(o+l-1),c=M*M,u=M*(2/o-1),f=u*u,m=Math.PI*this.R*(n*(M-f)+Math.sqrt(r*(M-f)*(M-f)-(f+r)*(c-f)))/(f+r);h<0&&(m=-m),s=this.x0+m;var p=r+M,m=Math.PI*this.R*(u*p-n*Math.sqrt((f+r)*(1+r)-p*p))/(f+r),d=0<=a?this.y0+m:this.y0-m;return t.x=s,t.y=d,t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u;return t.x-=this.x0,t.y-=this.y0,c=Math.PI*this.R,e=(a=t.x/c)*a+(h=t.y/c)*h,c=3*(h*h/(o=-2*(n=-Math.abs(h)*(1+e))+1+2*h*h+e*e)+(2*(r=n-2*h*h+a*a)*r*r/o/o/o-9*n*r/o/o)/27)/(l=(n-r*r/3/o)/o)/(M=2*Math.sqrt(-l/3)),1<Math.abs(c)&&(c=0<=c?1:-1),u=Math.acos(c)/3,i=0<=t.y?(-M*Math.cos(u+Math.PI/3)-r/3/o)*Math.PI:-(-M*Math.cos(u+Math.PI/3)-r/3/o)*Math.PI,s=Math.abs(a)<D?this.long0:nt(this.long0+Math.PI*(e-1+Math.sqrt(1+2*(a*a-h*h)+e*e))/2/a),t.x=s,t.y=i,t},names:["Van_der_Grinten_I","VanDerGrinten","vandg"]},Cs={init:function(){this.sin_p12=Math.sin(this.lat0),this.cos_p12=Math.cos(this.lat0)},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d,y,_,x,g,b,v,w=t.x,C=t.y,P=Math.sin(t.y),S=Math.cos(t.y),N=nt(w-this.long0);return this.sphere?Math.abs(this.sin_p12-1)<=D?(t.x=this.x0+this.a*(z-C)*Math.sin(N),t.y=this.y0-this.a*(z-C)*Math.cos(N)):Math.abs(this.sin_p12+1)<=D?(t.x=this.x0+this.a*(z+C)*Math.sin(N),t.y=this.y0+this.a*(z+C)*Math.cos(N)):(_=this.sin_p12*P+this.cos_p12*S*Math.cos(N),y=(d=Math.acos(_))?d/Math.sin(d):1,t.x=this.x0+this.a*y*S*Math.sin(N),t.y=this.y0+this.a*y*(this.cos_p12*P-this.sin_p12*S*Math.cos(N))):(s=Ft(this.es),i=Qt(this.es),a=Wt(this.es),h=Xt(this.es),Math.abs(this.sin_p12-1)<=D?(e=this.a*Ut(s,i,a,h,z),n=this.a*Ut(s,i,a,h,C),t.x=this.x0+(e-n)*Math.sin(N),t.y=this.y0-(e-n)*Math.cos(N)):Math.abs(this.sin_p12+1)<=D?(e=this.a*Ut(s,i,a,h,z),n=this.a*Ut(s,i,a,h,C),t.x=this.x0+(e+n)*Math.sin(N),t.y=this.y0+(e+n)*Math.cos(N)):(r=P/S,o=Ht(this.a,this.e,this.sin_p12),l=Ht(this.a,this.e,P),M=Math.atan((1-this.es)*r+this.es*o*this.sin_p12/(l*S)),x=0===(c=Math.atan2(Math.sin(N),this.cos_p12*Math.tan(M)-this.sin_p12*Math.cos(N)))?Math.asin(this.cos_p12*Math.sin(M)-this.sin_p12*Math.cos(M)):Math.abs(Math.abs(c)-Math.PI)<=D?-Math.asin(this.cos_p12*Math.sin(M)-this.sin_p12*Math.cos(M)):Math.asin(Math.sin(N)*Math.cos(M)/Math.sin(c)),u=this.e*this.sin_p12/Math.sqrt(1-this.es),d=o*x*(1-(g=x*x)*(p=(f=this.e*this.cos_p12*Math.cos(c)/Math.sqrt(1-this.es))*f)*(1-p)/6+(b=g*x)/8*(m=u*f)*(1-2*p)+(v=b*x)/120*(p*(4-7*p)-3*u*u*(1-7*p))-v*x/48*m),t.x=this.x0+d*Math.sin(c),t.y=this.y0+d*Math.cos(c))),t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d,y,_,x,g,b,v,w;if(t.x-=this.x0,t.y-=this.y0,this.sphere){if((s=Math.sqrt(t.x*t.x+t.y*t.y))>2*z*this.a)return;return i=s/this.a,a=Math.sin(i),h=Math.cos(i),e=this.long0,Math.abs(s)<=D?n=this.lat0:(n=Zt(h*this.sin_p12+t.y*a*this.cos_p12/s),r=Math.abs(this.lat0)-z,e=nt(Math.abs(r)<=D?0<=this.lat0?this.long0+Math.atan2(t.x,-t.y):this.long0-Math.atan2(-t.x,t.y):this.long0+Math.atan2(t.x*a,s*this.cos_p12*h-t.y*this.sin_p12*a))),t.x=e,t.y=n,t}return o=Ft(this.es),l=Qt(this.es),M=Wt(this.es),c=Xt(this.es),Math.abs(this.sin_p12-1)<=D?(u=this.a*Ut(o,l,M,c,z),s=Math.sqrt(t.x*t.x+t.y*t.y),n=Kt((u-s)/this.a,o,l,M,c),e=nt(this.long0+Math.atan2(t.x,-1*t.y))):Math.abs(this.sin_p12+1)<=D?(u=this.a*Ut(o,l,M,c,z),s=Math.sqrt(t.x*t.x+t.y*t.y),n=Kt((s-u)/this.a,o,l,M,c),e=nt(this.long0+Math.atan2(t.x,t.y))):(s=Math.sqrt(t.x*t.x+t.y*t.y),p=Math.atan2(t.x,t.y),f=Ht(this.a,this.e,this.sin_p12),d=Math.cos(p),_=-(y=this.e*this.cos_p12*d)*y/(1-this.es),x=3*this.es*(1-_)*this.sin_p12*this.cos_p12*d/(1-this.es),v=1-_*(b=(g=s/f)-_*(1+_)*Math.pow(g,3)/6-x*(1+3*_)*Math.pow(g,4)/24)*b/2-g*b*b*b/6,m=Math.asin(this.sin_p12*Math.cos(b)+this.cos_p12*Math.sin(b)*d),e=nt(this.long0+Math.asin(Math.sin(p)*Math.sin(b)/Math.cos(m))),w=Math.sin(m),n=Math.atan2((w-this.es*v*this.sin_p12)*Math.tan(m),w*(1-this.es))),t.x=e,t.y=n,t},names:["Azimuthal_Equidistant","aeqd"]},Ps={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0)},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0),r=Math.sin(e),o=Math.cos(e),l=Math.cos(n);return(0<(s=this.sin_p14*r+this.cos_p14*o*l)||Math.abs(s)<=D)&&(i=this.a*o*Math.sin(n),a=this.y0+this.a*(this.cos_p14*r-this.sin_p14*o*l)),t.x=i,t.y=a,t},inverse:function(t){var s,i,a,h,e,n,r;return t.x-=this.x0,t.y-=this.y0,s=Math.sqrt(t.x*t.x+t.y*t.y),i=Zt(s/this.a),a=Math.sin(i),h=Math.cos(i),n=this.long0,Math.abs(s)<=D?r=this.lat0:(r=Zt(h*this.sin_p14+t.y*a*this.cos_p14/s),e=Math.abs(this.lat0)-z,n=Math.abs(e)<=D?nt(0<=this.lat0?this.long0+Math.atan2(t.x,-t.y):this.long0-Math.atan2(-t.x,t.y)):nt(this.long0+Math.atan2(t.x*a,s*this.cos_p14*h-t.y*this.sin_p14*a))),t.x=n,t.y=r,t},names:["ortho"]},Ss=1,Ns=2,ks=3,Es=4,qs=5,Is=6,Os=1,As=2,Gs=3,js=4,zs={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Quadrilateralized Spherical Cube",this.lat0>=z-U/2?this.face=qs:this.lat0<=-(z-U/2)?this.face=Is:Math.abs(this.long0)<=U?this.face=Ss:Math.abs(this.long0)<=z+U?this.face=0<this.long0?Ns:Es:this.face=ks,0!==this.es&&(this.one_minus_f=1-(this.a-this.b)/this.a,this.one_minus_f_squared=this.one_minus_f*this.one_minus_f)},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f={x:0,y:0},m={value:0};return t.x-=this.long0,s=0!==this.es?Math.atan(this.one_minus_f_squared*Math.tan(t.y)):t.y,i=t.x,this.face===qs?(h=z-s,a=U<=i&&i<=z+U?(m.value=Os,i-z):z+U<i||i<=-(z+U)?(m.value=As,0<i?i-Q:i+Q):-(z+U)<i&&i<=-U?(m.value=Gs,i+z):(m.value=js,i)):this.face===Is?(h=z+s,a=U<=i&&i<=z+U?(m.value=Os,z-i):i<U&&-U<=i?(m.value=As,-i):i<-U&&-(z+U)<=i?(m.value=Gs,-i-z):(m.value=js,0<i?Q-i:-i-Q)):(this.face===Ns?i=S(i,+z):this.face===ks?i=S(i,+Q):this.face===Es&&(i=S(i,-z)),M=Math.sin(s),c=Math.cos(s),u=Math.sin(i),r=c*Math.cos(i),o=c*u,l=M,this.face===Ss?a=P(h=Math.acos(r),l,o,m):this.face===Ns?a=P(h=Math.acos(o),l,-r,m):this.face===ks?a=P(h=Math.acos(-r),l,-o,m):this.face===Es?a=P(h=Math.acos(-o),l,r,m):(h=a=0,m.value=Os)),n=Math.atan(12/Q*(a+Math.acos(Math.sin(a)*Math.cos(U))-z)),e=Math.sqrt((1-Math.cos(h))/(Math.cos(n)*Math.cos(n))/(1-Math.cos(Math.atan(1/Math.cos(a))))),m.value===As?n+=z:m.value===Gs?n+=Q:m.value===js&&(n+=1.5*Q),f.x=e*Math.cos(n),f.y=e*Math.sin(n),f.x=f.x*this.a+this.x0,f.y=f.y*this.a+this.y0,t.x=f.x,t.y=f.y,t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d={lam:0,phi:0},y={value:0};return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,i=Math.atan(Math.sqrt(t.x*t.x+t.y*t.y)),s=Math.atan2(t.y,t.x),0<=t.x&&t.x>=Math.abs(t.y)?y.value=Os:0<=t.y&&t.y>=Math.abs(t.x)?(y.value=As,s-=z):t.x<0&&-t.x>=Math.abs(t.y)?(y.value=Gs,s=s<0?s+Q:s-Q):(y.value=js,s+=z),c=Q/12*Math.tan(s),e=Math.sin(c)/(Math.cos(c)-1/Math.sqrt(2)),n=Math.atan(e),(r=1-(a=Math.cos(s))*a*(h=Math.tan(i))*h*(1-Math.cos(Math.atan(1/Math.cos(n)))))<-1?r=-1:1<r&&(r=1),this.face===qs?(o=Math.acos(r),d.phi=z-o,y.value===Os?d.lam=n+z:y.value===As?d.lam=n<0?n+Q:n-Q:y.value===Gs?d.lam=n-z:d.lam=n):this.face===Is?(o=Math.acos(r),d.phi=o-z,y.value===Os?d.lam=z-n:y.value===As?d.lam=-n:y.value===Gs?d.lam=-n-z:d.lam=n<0?-n-Q:Q-n):(c=(l=r)*l,u=1<=(c+=(M=1<=c?0:Math.sqrt(1-c)*Math.sin(n))*M)?0:Math.sqrt(1-c),y.value===As?(c=u,u=-M,M=c):y.value===Gs?(u=-u,M=-M):y.value===js&&(c=u,u=M,M=-c),this.face===Ns?(c=l,l=-u,u=c):this.face===ks?(l=-l,u=-u):this.face===Es&&(c=l,l=u,u=-c),d.phi=Math.acos(-M)-z,d.lam=Math.atan2(u,l),this.face===Ns?d.lam=S(d.lam,-z):this.face===ks?d.lam=S(d.lam,-Q):this.face===Es&&(d.lam=S(d.lam,+z))),0!==this.es&&(f=d.phi<0?1:0,m=Math.tan(d.phi),p=this.b/Math.sqrt(m*m+this.one_minus_f_squared),d.phi=Math.atan(Math.sqrt(this.a*this.a-p*p)/(this.one_minus_f*p)),f&&(d.phi=-d.phi)),d.lam+=this.long0,t.x=d.lam,t.y=d.phi,t},names:["Quadrilateralized Spherical 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s=nt(t.x-this.long0),i=Math.abs(t.y),a=Math.floor(i*Ts);a<0?a=0:18<=a&&(a=17);var h={x:Yt(Rs[a],i=B*(i-Ds*a))*s,y:Yt(Ls[a],i)};return t.y<0&&(h.y=-h.y),h.x=h.x*this.a*.8487+this.x0,h.y=h.y*this.a*1.3523+this.y0,h},inverse:function(t){var a={x:(t.x-this.x0)/(.8487*this.a),y:Math.abs(t.y-this.y0)/(1.3523*this.a)};if(1<=a.y)a.x/=Rs[18][0],a.y=t.y<0?-z:z;else{var s=Math.floor(18*a.y);for(s<0?s=0:18<=s&&(s=17);;)if(Ls[s][0]>a.y)--s;else{if(!(Ls[s+1][0]<=a.y))break;++s}var h=Ls[s],i=function(t,s,i,a){for(var h=s;a;--a){var e=t(h);if(h-=e,Math.abs(e)<i)break}return h}(function(t){return(Yt(h,t)-a.y)/(i=t,(s=h)[1]+i*(2*s[2]+3*i*s[3]));var s,i},i=5*(a.y-h[0])/(Ls[s+1][0]-h[0]),D,100);a.x/=Yt(Rs[s],i),a.y=(5*s+i)*N,t.y<0&&(a.y=-a.y)}return a.x=nt(a.x+this.long0),a},names:["Robinson","robin"]},Us={init:function(){this.name="geocent"},forward:function(t){return M(t,this.es,this.a)},inverse:function(t){return c(t,this.es,this.a,this.b)},names:["Geocentric","geocentric","geocent","Geocent"]};return a.defaultDatum="WGS84",a.Proj=q,a.WGS84=new a.Proj("WGS84"),a.Point=C,a.toPoint=bt,a.defs=l,a.transform=f,a.mgrs=Ot,a.version="2.6.2",($t=a).Proj.projections.add(ss),$t.Proj.projections.add(is),$t.Proj.projections.add(as),$t.Proj.projections.add(es),$t.Proj.projections.add(ns),$t.Proj.projections.add(rs),$t.Proj.projections.add(os),$t.Proj.projections.add(ls),$t.Proj.projections.add(Ms),$t.Proj.projections.add(cs),$t.Proj.projections.add(us),$t.Proj.projections.add(fs),$t.Proj.projections.add(ms),$t.Proj.projections.add(ps),$t.Proj.projections.add(ds),$t.Proj.projections.add(ys),$t.Proj.projections.add(_s),$t.Proj.projections.add(xs),$t.Proj.projections.add(gs),$t.Proj.projections.add(bs),$t.Proj.projections.add(vs),$t.Proj.projections.add(ws),$t.Proj.projections.add(Cs),$t.Proj.projections.add(Ps),$t.Proj.projections.add(zs),$t.Proj.projections.add(Bs),$t.Proj.projections.add(Us),a});</script>
-<script>(function (factory) {
-	var L, proj4;
-	if (typeof define === 'function' && define.amd) {
-		// AMD
-		define(['leaflet', 'proj4'], factory);
-	} else if (typeof module === 'object' && typeof module.exports === "object") {
-		// Node/CommonJS
-		L = require('leaflet');
-		proj4 = require('proj4');
-		module.exports = factory(L, proj4);
-	} else {
-		// Browser globals
-		if (typeof window.L === 'undefined' || typeof window.proj4 === 'undefined')
-			throw 'Leaflet and proj4 must be loaded first';
-		factory(window.L, window.proj4);
-	}
-}(function (L, proj4) {
-	if (proj4.__esModule && proj4.default) {
-		// If proj4 was bundled as an ES6 module, unwrap it to get
-		// to the actual main proj4 object.
-		// See discussion in https://github.com/kartena/Proj4Leaflet/pull/147
-		proj4 = proj4.default;
-	}
- 
-	L.Proj = {};
-
-	L.Proj._isProj4Obj = function(a) {
-		return (typeof a.inverse !== 'undefined' &&
-			typeof a.forward !== 'undefined');
-	};
-
-	L.Proj.Projection = L.Class.extend({
-		initialize: function(code, def, bounds) {
-			var isP4 = L.Proj._isProj4Obj(code);
-			this._proj = isP4 ? code : this._projFromCodeDef(code, def);
-			this.bounds = isP4 ? def : bounds;
-		},
-
-		project: function (latlng) {
-			var point = this._proj.forward([latlng.lng, latlng.lat]);
-			return new L.Point(point[0], point[1]);
-		},
-
-		unproject: function (point, unbounded) {
-			var point2 = this._proj.inverse([point.x, point.y]);
-			return new L.LatLng(point2[1], point2[0], unbounded);
-		},
-
-		_projFromCodeDef: function(code, def) {
-			if (def) {
-				proj4.defs(code, def);
-			} else if (proj4.defs[code] === undefined) {
-				var urn = code.split(':');
-				if (urn.length > 3) {
-					code = urn[urn.length - 3] + ':' + urn[urn.length - 1];
-				}
-				if (proj4.defs[code] === undefined) {
-					throw 'No projection definition for code ' + code;
-				}
-			}
-
-			return proj4(code);
-		}
-	});
-
-	L.Proj.CRS = L.Class.extend({
-		includes: L.CRS,
-
-		options: {
-			transformation: new L.Transformation(1, 0, -1, 0)
-		},
-
-		initialize: function(a, b, c) {
-			var code,
-			    proj,
-			    def,
-			    options;
-
-			if (L.Proj._isProj4Obj(a)) {
-				proj = a;
-				code = proj.srsCode;
-				options = b || {};
-
-				this.projection = new L.Proj.Projection(proj, options.bounds);
-			} else {
-				code = a;
-				def = b;
-				options = c || {};
-				this.projection = new L.Proj.Projection(code, def, options.bounds);
-			}
-
-			L.Util.setOptions(this, options);
-			this.code = code;
-			this.transformation = this.options.transformation;
-
-			if (this.options.origin) {
-				this.transformation =
-					new L.Transformation(1, -this.options.origin[0],
-						-1, this.options.origin[1]);
-			}
-
-			if (this.options.scales) {
-				this._scales = this.options.scales;
-			} else if (this.options.resolutions) {
-				this._scales = [];
-				for (var i = this.options.resolutions.length - 1; i >= 0; i--) {
-					if (this.options.resolutions[i]) {
-						this._scales[i] = 1 / this.options.resolutions[i];
-					}
-				}
-			}
-
-			this.infinite = !this.options.bounds;
-
-		},
-
-		scale: function(zoom) {
-			var iZoom = Math.floor(zoom),
-				baseScale,
-				nextScale,
-				scaleDiff,
-				zDiff;
-			if (zoom === iZoom) {
-				return this._scales[zoom];
-			} else {
-				// Non-integer zoom, interpolate
-				baseScale = this._scales[iZoom];
-				nextScale = this._scales[iZoom + 1];
-				scaleDiff = nextScale - baseScale;
-				zDiff = (zoom - iZoom);
-				return baseScale + scaleDiff * zDiff;
-			}
-		},
-
-		zoom: function(scale) {
-			// Find closest number in this._scales, down
-			var downScale = this._closestElement(this._scales, scale),
-				downZoom = this._scales.indexOf(downScale),
-				nextScale,
-				nextZoom,
-				scaleDiff;
-			// Check if scale is downScale => return array index
-			if (scale === downScale) {
-				return downZoom;
-			}
-			if (downScale === undefined) {
-				return -Infinity;
-			}
-			// Interpolate
-			nextZoom = downZoom + 1;
-			nextScale = this._scales[nextZoom];
-			if (nextScale === undefined) {
-				return Infinity;
-			}
-			scaleDiff = nextScale - downScale;
-			return (scale - downScale) / scaleDiff + downZoom;
-		},
-
-		distance: L.CRS.Earth.distance,
-
-		R: L.CRS.Earth.R,
-
-		/* Get the closest lowest element in an array */
-		_closestElement: function(array, element) {
-			var low;
-			for (var i = array.length; i--;) {
-				if (array[i] <= element && (low === undefined || low < array[i])) {
-					low = array[i];
-				}
-			}
-			return low;
-		}
-	});
-
-	L.Proj.GeoJSON = L.GeoJSON.extend({
-		initialize: function(geojson, options) {
-			this._callLevel = 0;
-			L.GeoJSON.prototype.initialize.call(this, geojson, options);
-		},
-
-		addData: function(geojson) {
-			var crs;
-
-			if (geojson) {
-				if (geojson.crs && geojson.crs.type === 'name') {
-					crs = new L.Proj.CRS(geojson.crs.properties.name);
-				} else if (geojson.crs && geojson.crs.type) {
-					crs = new L.Proj.CRS(geojson.crs.type + ':' + geojson.crs.properties.code);
-				}
-
-				if (crs !== undefined) {
-					this.options.coordsToLatLng = function(coords) {
-						var point = L.point(coords[0], coords[1]);
-						return crs.projection.unproject(point);
-					};
-				}
-			}
-
-			// Base class' addData might call us recursively, but
-			// CRS shouldn't be cleared in that case, since CRS applies
-			// to the whole GeoJSON, inluding sub-features.
-			this._callLevel++;
-			try {
-				L.GeoJSON.prototype.addData.call(this, geojson);
-			} finally {
-				this._callLevel--;
-				if (this._callLevel === 0) {
-					delete this.options.coordsToLatLng;
-				}
-			}
-		}
-	});
-
-	L.Proj.geoJson = function(geojson, options) {
-		return new L.Proj.GeoJSON(geojson, options);
-	};
-
-	L.Proj.ImageOverlay = L.ImageOverlay.extend({
-		initialize: function (url, bounds, options) {
-			L.ImageOverlay.prototype.initialize.call(this, url, null, options);
-			this._projectedBounds = bounds;
-		},
-
-		// Danger ahead: Overriding internal methods in Leaflet.
-		// Decided to do this rather than making a copy of L.ImageOverlay
-		// and doing very tiny modifications to it.
-		// Future will tell if this was wise or not.
-		_animateZoom: function (event) {
-			var scale = this._map.getZoomScale(event.zoom);
-			var northWest = L.point(this._projectedBounds.min.x, this._projectedBounds.max.y);
-			var offset = this._projectedToNewLayerPoint(northWest, event.zoom, event.center);
-
-			L.DomUtil.setTransform(this._image, offset, scale);
-		},
-
-		_reset: function () {
-			var zoom = this._map.getZoom();
-			var pixelOrigin = this._map.getPixelOrigin();
-			var bounds = L.bounds(
-				this._transform(this._projectedBounds.min, zoom)._subtract(pixelOrigin),
-				this._transform(this._projectedBounds.max, zoom)._subtract(pixelOrigin)
-			);
-			var size = bounds.getSize();
-
-			L.DomUtil.setPosition(this._image, bounds.min);
-			this._image.style.width = size.x + 'px';
-			this._image.style.height = size.y + 'px';
-		},
-
-		_projectedToNewLayerPoint: function (point, zoom, center) {
-			var viewHalf = this._map.getSize()._divideBy(2);
-			var newTopLeft = this._map.project(center, zoom)._subtract(viewHalf)._round();
-			var topLeft = newTopLeft.add(this._map._getMapPanePos());
-
-			return this._transform(point, zoom)._subtract(topLeft);
-		},
-
-		_transform: function (point, zoom) {
-			var crs = this._map.options.crs;
-			var transformation = crs.transformation;
-			var scale = crs.scale(zoom);
-
-			return transformation.transform(point, scale);
-		}
-	});
-
-	L.Proj.imageOverlay = function (url, bounds, options) {
-		return new L.Proj.ImageOverlay(url, bounds, options);
-	};
-
-	return L.Proj;
-}));
-</script>
-<style type="text/css">.leaflet-tooltip.leaflet-tooltip-text-only,
-.leaflet-tooltip.leaflet-tooltip-text-only:before,
-.leaflet-tooltip.leaflet-tooltip-text-only:after {
-background: none;
-border: none;
-box-shadow: none;
-}
-.leaflet-tooltip.leaflet-tooltip-text-only.leaflet-tooltip-left {
-margin-left: 5px;
-}
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-margin-left: -5px;
-}
-.leaflet-tooltip:after {
-border-right: 6px solid transparent;
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-.leaflet-popup-pane .leaflet-popup-tip-container {
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-pointer-events: all;
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-cursor: pointer;
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-.leaflet-map-pane {
-z-index: auto;
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-.leaflet-container .leaflet-right-pane img,
-.leaflet-container .leaflet-left-pane img {
-max-width: none !important;
-max-height: none !important;
-}
-</style>
-<script>(function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = undefined;
-
-var _util = require("./util");
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
-
-function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
-
-var ClusterLayerStore = /*#__PURE__*/function () {
-  function ClusterLayerStore(group) {
-    _classCallCheck(this, ClusterLayerStore);
-
-    this._layers = {};
-    this._group = group;
-  }
-
-  _createClass(ClusterLayerStore, [{
-    key: "add",
-    value: function add(layer, id) {
-      if (typeof id !== "undefined" && id !== null) {
-        if (this._layers[id]) {
-          this._group.removeLayer(this._layers[id]);
-        }
-
-        this._layers[id] = layer;
-      }
-
-      this._group.addLayer(layer);
-    }
-  }, {
-    key: "remove",
-    value: function remove(id) {
-      if (typeof id === "undefined" || id === null) {
-        return;
-      }
-
-      id = (0, _util.asArray)(id);
-
-      for (var i = 0; i < id.length; i++) {
-        if (this._layers[id[i]]) {
-          this._group.removeLayer(this._layers[id[i]]);
-
-          delete this._layers[id[i]];
-        }
-      }
-    }
-  }, {
-    key: "clear",
-    value: function clear() {
-      this._layers = {};
-
-      this._group.clearLayers();
-    }
-  }]);
-
-  return ClusterLayerStore;
-}();
-
-exports["default"] = ClusterLayerStore;
-
-
-},{"./util":17}],2:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
-
-function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
-
-var ControlStore = /*#__PURE__*/function () {
-  function ControlStore(map) {
-    _classCallCheck(this, ControlStore);
-
-    this._controlsNoId = [];
-    this._controlsById = {};
-    this._map = map;
-  }
-
-  _createClass(ControlStore, [{
-    key: "add",
-    value: function add(control, id, html) {
-      if (typeof id !== "undefined" && id !== null) {
-        if (this._controlsById[id]) {
-          this._map.removeControl(this._controlsById[id]);
-        }
-
-        this._controlsById[id] = control;
-      } else {
-        this._controlsNoId.push(control);
-      }
-
-      this._map.addControl(control);
-    }
-  }, {
-    key: "get",
-    value: function get(id) {
-      var control = null;
-
-      if (this._controlsById[id]) {
-        control = this._controlsById[id];
-      }
-
-      return control;
-    }
-  }, {
-    key: "remove",
-    value: function remove(id) {
-      if (this._controlsById[id]) {
-        var control = this._controlsById[id];
-
-        this._map.removeControl(control);
-
-        delete this._controlsById[id];
-      }
-    }
-  }, {
-    key: "clear",
-    value: function clear() {
-      for (var i = 0; i < this._controlsNoId.length; i++) {
-        var control = this._controlsNoId[i];
-
-        this._map.removeControl(control);
-      }
-
-      this._controlsNoId = [];
-
-      for (var key in this._controlsById) {
-        var _control = this._controlsById[key];
-
-        this._map.removeControl(_control);
-      }
-
-      this._controlsById = {};
-    }
-  }]);
-
-  return ControlStore;
-}();
-
-exports["default"] = ControlStore;
-
-
-},{}],3:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports.getCRS = getCRS;
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-var _proj4leaflet = require("./global/proj4leaflet");
-
-var _proj4leaflet2 = _interopRequireDefault(_proj4leaflet);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-// Helper function to instanciate a ICRS instance.
-function getCRS(crsOptions) {
-  var crs = _leaflet2["default"].CRS.EPSG3857; // Default Spherical Mercator
-
-  switch (crsOptions.crsClass) {
-    case "L.CRS.EPSG3857":
-      crs = _leaflet2["default"].CRS.EPSG3857;
-      break;
-
-    case "L.CRS.EPSG4326":
-      crs = _leaflet2["default"].CRS.EPSG4326;
-      break;
-
-    case "L.CRS.EPSG3395":
-      crs = _leaflet2["default"].CRS.EPSG3395;
-      break;
-
-    case "L.CRS.Simple":
-      crs = _leaflet2["default"].CRS.Simple;
-      break;
-
-    case "L.Proj.CRS":
-      if (crsOptions.options && crsOptions.options.bounds) {
-        crsOptions.options.bounds = _leaflet2["default"].bounds(crsOptions.options.bounds);
-      }
-
-      if (crsOptions.options && crsOptions.options.transformation) {
-        crsOptions.options.transformation = new _leaflet2["default"].Transformation(crsOptions.options.transformation[0], crsOptions.options.transformation[1], crsOptions.options.transformation[2], crsOptions.options.transformation[3]);
-      }
-
-      crs = new _proj4leaflet2["default"].CRS(crsOptions.code, crsOptions.proj4def, crsOptions.options);
-      break;
-
-    case "L.Proj.CRS.TMS":
-      if (crsOptions.options && crsOptions.options.bounds) {
-        crsOptions.options.bounds = _leaflet2["default"].bounds(crsOptions.options.bounds);
-      }
-
-      if (crsOptions.options && crsOptions.options.transformation) {
-        crsOptions.options.transformation = _leaflet2["default"].Transformation(crsOptions.options.transformation[0], crsOptions.options.transformation[1], crsOptions.options.transformation[2], crsOptions.options.transformation[3]);
-      } // L.Proj.CRS.TMS is deprecated as of Leaflet 1.x, fall back to L.Proj.CRS
-      //crs = new Proj4Leaflet.CRS.TMS(crsOptions.code, crsOptions.proj4def, crsOptions.projectedBounds, crsOptions.options);
-
-
-      crs = new _proj4leaflet2["default"].CRS(crsOptions.code, crsOptions.proj4def, crsOptions.options);
-      break;
-  }
-
-  return crs;
-}
-
-
-},{"./global/leaflet":10,"./global/proj4leaflet":11}],4:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = undefined;
-
-var _util = require("./util");
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
-
-function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
-
-var DataFrame = /*#__PURE__*/function () {
-  function DataFrame() {
-    _classCallCheck(this, DataFrame);
-
-    this.columns = [];
-    this.colnames = [];
-    this.colstrict = [];
-    this.effectiveLength = 0;
-    this.colindices = {};
-  }
-
-  _createClass(DataFrame, [{
-    key: "_updateCachedProperties",
-    value: function _updateCachedProperties() {
-      var _this = this;
-
-      this.effectiveLength = 0;
-      this.colindices = {};
-      this.columns.forEach(function (column, i) {
-        _this.effectiveLength = Math.max(_this.effectiveLength, column.length);
-        _this.colindices[_this.colnames[i]] = i;
-      });
-    }
-  }, {
-    key: "_colIndex",
-    value: function _colIndex(colname) {
-      var index = this.colindices[colname];
-      if (typeof index === "undefined") return -1;
-      return index;
-    }
-  }, {
-    key: "col",
-    value: function col(name, values, strict) {
-      if (typeof name !== "string") throw new Error("Invalid column name \"" + name + "\"");
-
-      var index = this._colIndex(name);
-
-      if (arguments.length === 1) {
-        if (index < 0) return null;else return (0, _util.recycle)(this.columns[index], this.effectiveLength);
-      }
-
-      if (index < 0) {
-        index = this.colnames.length;
-        this.colnames.push(name);
-      }
-
-      this.columns[index] = (0, _util.asArray)(values);
-      this.colstrict[index] = !!strict; // TODO: Validate strictness (ensure lengths match up with other stricts)
-
-      this._updateCachedProperties();
-
-      return this;
-    }
-  }, {
-    key: "cbind",
-    value: function cbind(obj, strict) {
-      var _this2 = this;
-
-      Object.keys(obj).forEach(function (name) {
-        var coldata = obj[name];
-
-        _this2.col(name, coldata);
-      });
-      return this;
-    }
-  }, {
-    key: "get",
-    value: function get(row, col, missingOK) {
-      var _this3 = this;
-
-      if (row > this.effectiveLength) throw new Error("Row argument was out of bounds: " + row + " > " + this.effectiveLength);
-      var colIndex = -1;
-
-      if (typeof col === "undefined") {
-        var rowData = {};
-        this.colnames.forEach(function (name, i) {
-          rowData[name] = _this3.columns[i][row % _this3.columns[i].length];
-        });
-        return rowData;
-      } else if (typeof col === "string") {
-        colIndex = this._colIndex(col);
-      } else if (typeof col === "number") {
-        colIndex = col;
-      }
-
-      if (colIndex < 0 || colIndex > this.columns.length) {
-        if (missingOK) return void 0;else throw new Error("Unknown column index: " + col);
-      }
-
-      return this.columns[colIndex][row % this.columns[colIndex].length];
-    }
-  }, {
-    key: "nrow",
-    value: function nrow() {
-      return this.effectiveLength;
-    }
-  }]);
-
-  return DataFrame;
-}();
-
-exports["default"] = DataFrame;
-
-
-},{"./util":17}],5:[function(require,module,exports){
-"use strict";
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-// In RMarkdown's self-contained mode, we don't have a way to carry around the
-// images that Leaflet needs but doesn't load into the page. Instead, we'll use
-// the unpkg CDN.
-if (typeof _leaflet2["default"].Icon.Default.imagePath === "undefined") {
-  _leaflet2["default"].Icon.Default.imagePath = "https://unpkg.com/leaflet@1.3.1/dist/images/";
-}
-
-
-},{"./global/leaflet":10}],6:[function(require,module,exports){
-"use strict";
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-// add texxtsize, textOnly, and style
-_leaflet2["default"].Tooltip.prototype.options.textsize = "10px";
-_leaflet2["default"].Tooltip.prototype.options.textOnly = false;
-_leaflet2["default"].Tooltip.prototype.options.style = null; // copy original layout to not completely stomp it.
-
-var initLayoutOriginal = _leaflet2["default"].Tooltip.prototype._initLayout;
-
-_leaflet2["default"].Tooltip.prototype._initLayout = function () {
-  initLayoutOriginal.call(this);
-  this._container.style.fontSize = this.options.textsize;
-
-  if (this.options.textOnly) {
-    _leaflet2["default"].DomUtil.addClass(this._container, "leaflet-tooltip-text-only");
-  }
-
-  if (this.options.style) {
-    for (var property in this.options.style) {
-      this._container.style[property] = this.options.style[property];
-    }
-  }
-};
-
-
-},{"./global/leaflet":10}],7:[function(require,module,exports){
-"use strict";
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-var protocolRegex = /^\/\//;
-
-var upgrade_protocol = function upgrade_protocol(urlTemplate) {
-  if (protocolRegex.test(urlTemplate)) {
-    if (window.location.protocol === "file:") {
-      // if in a local file, support http
-      // http should auto upgrade if necessary
-      urlTemplate = "http:" + urlTemplate;
-    }
-  }
-
-  return urlTemplate;
-};
-
-var originalLTileLayerInitialize = _leaflet2["default"].TileLayer.prototype.initialize;
-
-_leaflet2["default"].TileLayer.prototype.initialize = function (urlTemplate, options) {
-  urlTemplate = upgrade_protocol(urlTemplate);
-  originalLTileLayerInitialize.call(this, urlTemplate, options);
-};
-
-var originalLTileLayerWMSInitialize = _leaflet2["default"].TileLayer.WMS.prototype.initialize;
-
-_leaflet2["default"].TileLayer.WMS.prototype.initialize = function (urlTemplate, options) {
-  urlTemplate = upgrade_protocol(urlTemplate);
-  originalLTileLayerWMSInitialize.call(this, urlTemplate, options);
-};
-
-
-},{"./global/leaflet":10}],8:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = global.HTMLWidgets;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{}],9:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = global.jQuery;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{}],10:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = global.L;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{}],11:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = global.L.Proj;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{}],12:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = global.Shiny;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{}],13:[function(require,module,exports){
-"use strict";
-
-var _jquery = require("./global/jquery");
-
-var _jquery2 = _interopRequireDefault(_jquery);
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-var _shiny = require("./global/shiny");
-
-var _shiny2 = _interopRequireDefault(_shiny);
-
-var _htmlwidgets = require("./global/htmlwidgets");
-
-var _htmlwidgets2 = _interopRequireDefault(_htmlwidgets);
-
-var _util = require("./util");
-
-var _crs_utils = require("./crs_utils");
-
-var _controlStore = require("./control-store");
-
-var _controlStore2 = _interopRequireDefault(_controlStore);
-
-var _layerManager = require("./layer-manager");
-
-var _layerManager2 = _interopRequireDefault(_layerManager);
-
-var _methods = require("./methods");
-
-var _methods2 = _interopRequireDefault(_methods);
-
-require("./fixup-default-icon");
-
-require("./fixup-default-tooltip");
-
-require("./fixup-url-protocol");
-
-var _dataframe = require("./dataframe");
-
-var _dataframe2 = _interopRequireDefault(_dataframe);
-
-var _clusterLayerStore = require("./cluster-layer-store");
-
-var _clusterLayerStore2 = _interopRequireDefault(_clusterLayerStore);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-window.LeafletWidget = {};
-window.LeafletWidget.utils = {};
-
-var methods = window.LeafletWidget.methods = _jquery2["default"].extend({}, _methods2["default"]);
-
-window.LeafletWidget.DataFrame = _dataframe2["default"];
-window.LeafletWidget.ClusterLayerStore = _clusterLayerStore2["default"];
-window.LeafletWidget.utils.getCRS = _crs_utils.getCRS; // Send updated bounds back to app. Takes a leaflet event object as input.
-
-function updateBounds(map) {
-  var id = map.getContainer().id;
-  var bounds = map.getBounds();
-
-  _shiny2["default"].onInputChange(id + "_bounds", {
-    north: bounds.getNorthEast().lat,
-    east: bounds.getNorthEast().lng,
-    south: bounds.getSouthWest().lat,
-    west: bounds.getSouthWest().lng
-  });
-
-  _shiny2["default"].onInputChange(id + "_center", {
-    lng: map.getCenter().lng,
-    lat: map.getCenter().lat
-  });
-
-  _shiny2["default"].onInputChange(id + "_zoom", map.getZoom());
-}
-
-function preventUnintendedZoomOnScroll(map) {
-  // Prevent unwanted scroll capturing. Similar in purpose to
-  // https://github.com/CliffCloud/Leaflet.Sleep but with a
-  // different set of heuristics.
-  // The basic idea is that when a mousewheel/DOMMouseScroll
-  // event is seen, we disable scroll wheel zooming until the
-  // user moves their mouse cursor or clicks on the map. This
-  // is slightly trickier than just listening for mousemove,
-  // because mousemove is fired when the page is scrolled,
-  // even if the user did not physically move the mouse. We
-  // handle this by examining the mousemove event's screenX
-  // and screenY properties; if they change, we know it's a
-  // "true" move.
-  // lastScreen can never be null, but its x and y can.
-  var lastScreen = {
-    x: null,
-    y: null
-  };
-  (0, _jquery2["default"])(document).on("mousewheel DOMMouseScroll", "*", function (e) {
-    // Disable zooming (until the mouse moves or click)
-    map.scrollWheelZoom.disable(); // Any mousemove events at this screen position will be ignored.
-
-    lastScreen = {
-      x: e.originalEvent.screenX,
-      y: e.originalEvent.screenY
-    };
-  });
-  (0, _jquery2["default"])(document).on("mousemove", "*", function (e) {
-    // Did the mouse really move?
-    if (map.options.scrollWheelZoom) {
-      if (lastScreen.x !== null && e.screenX !== lastScreen.x || e.screenY !== lastScreen.y) {
-        // It really moved. Enable zooming.
-        map.scrollWheelZoom.enable();
-        lastScreen = {
-          x: null,
-          y: null
-        };
-      }
-    }
-  });
-  (0, _jquery2["default"])(document).on("mousedown", ".leaflet", function (e) {
-    // Clicking always enables zooming.
-    if (map.options.scrollWheelZoom) {
-      map.scrollWheelZoom.enable();
-      lastScreen = {
-        x: null,
-        y: null
-      };
-    }
-  });
-}
-
-_htmlwidgets2["default"].widget({
-  name: "leaflet",
-  type: "output",
-  factory: function factory(el, width, height) {
-    var map = null;
-    return {
-      // we need to store our map in our returned object.
-      getMap: function getMap() {
-        return map;
-      },
-      renderValue: function renderValue(data) {
-        // Create an appropriate CRS Object if specified
-        if (data && data.options && data.options.crs) {
-          data.options.crs = (0, _crs_utils.getCRS)(data.options.crs);
-        } // As per https://github.com/rstudio/leaflet/pull/294#discussion_r79584810
-
-
-        if (map) {
-          map.remove();
-
-          map = function () {
-            return;
-          }(); // undefine map
-
-        }
-
-        if (data.options.mapFactory && typeof data.options.mapFactory === "function") {
-          map = data.options.mapFactory(el, data.options);
-        } else {
-          map = _leaflet2["default"].map(el, data.options);
-        }
-
-        preventUnintendedZoomOnScroll(map); // Store some state in the map object
-
-        map.leafletr = {
-          // Has the map ever rendered successfully?
-          hasRendered: false,
-          // Data to be rendered when resize is called with area != 0
-          pendingRenderData: null
-        }; // Check if the map is rendered statically (no output binding)
-
-        if (_htmlwidgets2["default"].shinyMode && /\bshiny-bound-output\b/.test(el.className)) {
-          map.id = el.id; // Store the map on the element so we can find it later by ID
-
-          (0, _jquery2["default"])(el).data("leaflet-map", map); // When the map is clicked, send the coordinates back to the app
-
-          map.on("click", function (e) {
-            _shiny2["default"].onInputChange(map.id + "_click", {
-              lat: e.latlng.lat,
-              lng: e.latlng.lng,
-              ".nonce": Math.random() // Force reactivity if lat/lng hasn't changed
-
-            });
-          });
-          var groupTimerId = null;
-          map.on("moveend", function (e) {
-            updateBounds(e.target);
-          }).on("layeradd layerremove", function (e) {
-            // If the layer that's coming or going is a group we created, tell
-            // the server.
-            if (map.layerManager.getGroupNameFromLayerGroup(e.layer)) {
-              // But to avoid chattiness, coalesce events
-              if (groupTimerId) {
-                clearTimeout(groupTimerId);
-                groupTimerId = null;
-              }
-
-              groupTimerId = setTimeout(function () {
-                groupTimerId = null;
-
-                _shiny2["default"].onInputChange(map.id + "_groups", map.layerManager.getVisibleGroups());
-              }, 100);
-            }
-          });
-        }
-
-        this.doRenderValue(data, map);
-      },
-      doRenderValue: function doRenderValue(data, map) {
-        // Leaflet does not behave well when you set up a bunch of layers when
-        // the map is not visible (width/height == 0). Popups get misaligned
-        // relative to their owning markers, and the fitBounds calculations
-        // are off. Therefore we wait until the map is actually showing to
-        // render the value (we rely on the resize() callback being invoked
-        // at the appropriate time).
-        if (el.offsetWidth === 0 || el.offsetHeight === 0) {
-          map.leafletr.pendingRenderData = data;
-          return;
-        }
-
-        map.leafletr.pendingRenderData = null; // Merge data options into defaults
-
-        var options = _jquery2["default"].extend({
-          zoomToLimits: "always"
-        }, data.options);
-
-        if (!map.layerManager) {
-          map.controls = new _controlStore2["default"](map);
-          map.layerManager = new _layerManager2["default"](map);
-        } else {
-          map.controls.clear();
-          map.layerManager.clear();
-        }
-
-        var explicitView = false;
-
-        if (data.setView) {
-          explicitView = true;
-          map.setView.apply(map, data.setView);
-        }
-
-        if (data.fitBounds) {
-          explicitView = true;
-          methods.fitBounds.apply(map, data.fitBounds);
-        }
-
-        if (data.flyTo) {
-          if (!explicitView && !map.leafletr.hasRendered) {
-            // must be done to give a initial starting point
-            map.fitWorld();
-          }
-
-          explicitView = true;
-          map.flyTo.apply(map, data.flyTo);
-        }
-
-        if (data.flyToBounds) {
-          if (!explicitView && !map.leafletr.hasRendered) {
-            // must be done to give a initial starting point
-            map.fitWorld();
-          }
-
-          explicitView = true;
-          methods.flyToBounds.apply(map, data.flyToBounds);
-        }
-
-        if (data.options.center) {
-          explicitView = true;
-        } // Returns true if the zoomToLimits option says that the map should be
-        // zoomed to map elements.
-
-
-        function needsZoom() {
-          return options.zoomToLimits === "always" || options.zoomToLimits === "first" && !map.leafletr.hasRendered;
-        }
-
-        if (!explicitView && needsZoom() && !map.getZoom()) {
-          if (data.limits && !_jquery2["default"].isEmptyObject(data.limits)) {
-            // Use the natural limits of what's being drawn on the map
-            // If the size of the bounding box is 0, leaflet gets all weird
-            var pad = 0.006;
-
-            if (data.limits.lat[0] === data.limits.lat[1]) {
-              data.limits.lat[0] = data.limits.lat[0] - pad;
-              data.limits.lat[1] = data.limits.lat[1] + pad;
-            }
-
-            if (data.limits.lng[0] === data.limits.lng[1]) {
-              data.limits.lng[0] = data.limits.lng[0] - pad;
-              data.limits.lng[1] = data.limits.lng[1] + pad;
-            }
-
-            map.fitBounds([[data.limits.lat[0], data.limits.lng[0]], [data.limits.lat[1], data.limits.lng[1]]]);
-          } else {
-            map.fitWorld();
-          }
-        }
-
-        for (var i = 0; data.calls && i < data.calls.length; i++) {
-          var call = data.calls[i];
-          if (methods[call.method]) methods[call.method].apply(map, call.args);else (0, _util.log)("Unknown method " + call.method);
-        }
-
-        map.leafletr.hasRendered = true;
-
-        if (_htmlwidgets2["default"].shinyMode) {
-          setTimeout(function () {
-            updateBounds(map);
-          }, 1);
-        }
-      },
-      resize: function resize(width, height) {
-        if (map) {
-          map.invalidateSize();
-
-          if (map.leafletr.pendingRenderData) {
-            this.doRenderValue(map.leafletr.pendingRenderData, map);
-          }
-        }
-      }
-    };
-  }
-});
-
-if (_htmlwidgets2["default"].shinyMode) {
-  _shiny2["default"].addCustomMessageHandler("leaflet-calls", function (data) {
-    var id = data.id;
-    var el = document.getElementById(id);
-    var map = el ? (0, _jquery2["default"])(el).data("leaflet-map") : null;
-
-    if (!map) {
-      (0, _util.log)("Couldn't find map with id " + id);
-      return;
-    } // If the map has not rendered, stash the proposed `leafletProxy()` calls
-    // in `pendingRenderData.calls` to be run on display via `doRenderValue()`.
-    // This is necessary if the map has not been rendered.
-    // If new pendingRenderData is set via a new `leaflet()`, the previous calls will be discarded.
-
-
-    if (!map.leafletr.hasRendered) {
-      map.leafletr.pendingRenderData.calls = map.leafletr.pendingRenderData.calls.concat(data.calls);
-      return;
-    }
-
-    for (var i = 0; i < data.calls.length; i++) {
-      var call = data.calls[i];
-      var args = call.args;
-
-      for (var _i = 0; _i < call.evals.length; _i++) {
-        window.HTMLWidgets.evaluateStringMember(args, call.evals[_i]);
-      }
-
-      if (call.dependencies) {
-        _shiny2["default"].renderDependencies(call.dependencies);
-      }
-
-      if (methods[call.method]) methods[call.method].apply(map, args);else (0, _util.log)("Unknown method " + call.method);
-    }
-  });
-}
-
-
-},{"./cluster-layer-store":1,"./control-store":2,"./crs_utils":3,"./dataframe":4,"./fixup-default-icon":5,"./fixup-default-tooltip":6,"./fixup-url-protocol":7,"./global/htmlwidgets":8,"./global/jquery":9,"./global/leaflet":10,"./global/shiny":12,"./layer-manager":14,"./methods":15,"./util":17}],14:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports["default"] = undefined;
-
-var _jquery = require("./global/jquery");
-
-var _jquery2 = _interopRequireDefault(_jquery);
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-var _util = require("./util");
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
-
-function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
-
-var LayerManager = /*#__PURE__*/function () {
-  function LayerManager(map) {
-    _classCallCheck(this, LayerManager);
-
-    this._map = map; // BEGIN layer indices
-    // {<groupname>: {<stamp>: layer}}
-
-    this._byGroup = {}; // {<categoryName>: {<stamp>: layer}}
-
-    this._byCategory = {}; // {<categoryName_layerId>: layer}
-
-    this._byLayerId = {}; // {<stamp>: {
-    //             "group": <groupname>,
-    //             "layerId": <layerId>,
-    //             "category": <category>,
-    //             "container": <container>
-    //           }
-    // }
-
-    this._byStamp = {}; // {<crosstalkGroupName>: {<key>: [<stamp>, <stamp>, ...], ...}}
-
-    this._byCrosstalkGroup = {}; // END layer indices
-    // {<categoryName>: L.layerGroup}
-
-    this._categoryContainers = {}; // {<groupName>: L.layerGroup}
-
-    this._groupContainers = {};
-  }
-
-  _createClass(LayerManager, [{
-    key: "addLayer",
-    value: function addLayer(layer, category, layerId, group, ctGroup, ctKey) {
-      var _this = this;
-
-      // Was a group provided?
-      var hasId = typeof layerId === "string";
-      var grouped = typeof group === "string";
-      var stamp = _leaflet2["default"].Util.stamp(layer) + ""; // This will be the default layer group to add the layer to.
-      // We may overwrite this let before using it (i.e. if a group is assigned).
-      // This one liner creates the _categoryContainers[category] entry if it
-      // doesn't already exist.
-
-      var container = this._categoryContainers[category] = this._categoryContainers[category] || _leaflet2["default"].layerGroup().addTo(this._map);
-
-      var oldLayer = null;
-
-      if (hasId) {
-        // First, remove any layer with the same category and layerId
-        var prefixedLayerId = this._layerIdKey(category, layerId);
-
-        oldLayer = this._byLayerId[prefixedLayerId];
-
-        if (oldLayer) {
-          this._removeLayer(oldLayer);
-        } // Update layerId index
-
-
-        this._byLayerId[prefixedLayerId] = layer;
-      } // Update group index
-
-
-      if (grouped) {
-        this._byGroup[group] = this._byGroup[group] || {};
-        this._byGroup[group][stamp] = layer; // Since a group is assigned, don't add the layer to the category's layer
-        // group; instead, use the group's layer group.
-        // This one liner creates the _groupContainers[group] entry if it doesn't
-        // already exist.
-
-        container = this.getLayerGroup(group, true);
-      } // Update category index
-
-
-      this._byCategory[category] = this._byCategory[category] || {};
-      this._byCategory[category][stamp] = layer; // Update stamp index
-
-      var layerInfo = this._byStamp[stamp] = {
-        layer: layer,
-        group: group,
-        ctGroup: ctGroup,
-        ctKey: ctKey,
-        layerId: layerId,
-        category: category,
-        container: container,
-        hidden: false
-      }; // Update crosstalk group index
-
-      if (ctGroup) {
-        if (layer.setStyle) {
-          // Need to save this info so we know what to set opacity to later
-          layer.options.origOpacity = typeof layer.options.opacity !== "undefined" ? layer.options.opacity : 0.5;
-          layer.options.origFillOpacity = typeof layer.options.fillOpacity !== "undefined" ? layer.options.fillOpacity : 0.2;
-        }
-
-        var ctg = this._byCrosstalkGroup[ctGroup];
-
-        if (!ctg) {
-          ctg = this._byCrosstalkGroup[ctGroup] = {};
-          var crosstalk = global.crosstalk;
-
-          var handleFilter = function handleFilter(e) {
-            if (!e.value) {
-              var groupKeys = Object.keys(ctg);
-
-              for (var i = 0; i < groupKeys.length; i++) {
-                var key = groupKeys[i];
-                var _layerInfo = _this._byStamp[ctg[key]];
-
-                _this._setVisibility(_layerInfo, true);
-              }
-            } else {
-              var selectedKeys = {};
-
-              for (var _i = 0; _i < e.value.length; _i++) {
-                selectedKeys[e.value[_i]] = true;
-              }
-
-              var _groupKeys = Object.keys(ctg);
-
-              for (var _i2 = 0; _i2 < _groupKeys.length; _i2++) {
-                var _key = _groupKeys[_i2];
-                var _layerInfo2 = _this._byStamp[ctg[_key]];
-
-                _this._setVisibility(_layerInfo2, selectedKeys[_groupKeys[_i2]]);
-              }
-            }
-          };
-
-          var filterHandle = new crosstalk.FilterHandle(ctGroup);
-          filterHandle.on("change", handleFilter);
-
-          var handleSelection = function handleSelection(e) {
-            if (!e.value || !e.value.length) {
-              var groupKeys = Object.keys(ctg);
-
-              for (var i = 0; i < groupKeys.length; i++) {
-                var key = groupKeys[i];
-                var _layerInfo3 = _this._byStamp[ctg[key]];
-
-                _this._setOpacity(_layerInfo3, 1.0);
-              }
-            } else {
-              var selectedKeys = {};
-
-              for (var _i3 = 0; _i3 < e.value.length; _i3++) {
-                selectedKeys[e.value[_i3]] = true;
-              }
-
-              var _groupKeys2 = Object.keys(ctg);
-
-              for (var _i4 = 0; _i4 < _groupKeys2.length; _i4++) {
-                var _key2 = _groupKeys2[_i4];
-                var _layerInfo4 = _this._byStamp[ctg[_key2]];
-
-                _this._setOpacity(_layerInfo4, selectedKeys[_groupKeys2[_i4]] ? 1.0 : 0.2);
-              }
-            }
-          };
-
-          var selHandle = new crosstalk.SelectionHandle(ctGroup);
-          selHandle.on("change", handleSelection);
-          setTimeout(function () {
-            handleFilter({
-              value: filterHandle.filteredKeys
-            });
-            handleSelection({
-              value: selHandle.value
-            });
-          }, 100);
-        }
-
-        if (!ctg[ctKey]) ctg[ctKey] = [];
-        ctg[ctKey].push(stamp);
-      } // Add to container
-
-
-      if (!layerInfo.hidden) container.addLayer(layer);
-      return oldLayer;
-    }
-  }, {
-    key: "brush",
-    value: function brush(bounds, extraInfo) {
-      var _this2 = this;
-
-      /* eslint-disable no-console */
-      // For each Crosstalk group...
-      Object.keys(this._byCrosstalkGroup).forEach(function (ctGroupName) {
-        var ctg = _this2._byCrosstalkGroup[ctGroupName];
-        var selection = []; // ...iterate over each Crosstalk key (each of which may have multiple
-        // layers)...
-
-        Object.keys(ctg).forEach(function (ctKey) {
-          // ...and for each layer...
-          ctg[ctKey].forEach(function (stamp) {
-            var layerInfo = _this2._byStamp[stamp]; // ...if it's something with a point...
-
-            if (layerInfo.layer.getLatLng) {
-              // ... and it's inside the selection bounds...
-              // TODO: Use pixel containment, not lat/lng containment
-              if (bounds.contains(layerInfo.layer.getLatLng())) {
-                // ...add the key to the selection.
-                selection.push(ctKey);
-              }
-            }
-          });
-        });
-        new global.crosstalk.SelectionHandle(ctGroupName).set(selection, extraInfo);
-      });
-    }
-  }, {
-    key: "unbrush",
-    value: function unbrush(extraInfo) {
-      Object.keys(this._byCrosstalkGroup).forEach(function (ctGroupName) {
-        new global.crosstalk.SelectionHandle(ctGroupName).clear(extraInfo);
-      });
-    }
-  }, {
-    key: "_setVisibility",
-    value: function _setVisibility(layerInfo, visible) {
-      if (layerInfo.hidden ^ visible) {
-        return;
-      } else if (visible) {
-        layerInfo.container.addLayer(layerInfo.layer);
-        layerInfo.hidden = false;
-      } else {
-        layerInfo.container.removeLayer(layerInfo.layer);
-        layerInfo.hidden = true;
-      }
-    }
-  }, {
-    key: "_setOpacity",
-    value: function _setOpacity(layerInfo, opacity) {
-      if (layerInfo.layer.setOpacity) {
-        layerInfo.layer.setOpacity(opacity);
-      } else if (layerInfo.layer.setStyle) {
-        layerInfo.layer.setStyle({
-          opacity: opacity * layerInfo.layer.options.origOpacity,
-          fillOpacity: opacity * layerInfo.layer.options.origFillOpacity
-        });
-      }
-    }
-  }, {
-    key: "getLayer",
-    value: function getLayer(category, layerId) {
-      return this._byLayerId[this._layerIdKey(category, layerId)];
-    }
-  }, {
-    key: "removeLayer",
-    value: function removeLayer(category, layerIds) {
-      var _this3 = this;
-
-      // Find layer info
-      _jquery2["default"].each((0, _util.asArray)(layerIds), function (i, layerId) {
-        var layer = _this3._byLayerId[_this3._layerIdKey(category, layerId)];
-
-        if (layer) {
-          _this3._removeLayer(layer);
-        }
-      });
-    }
-  }, {
-    key: "clearLayers",
-    value: function clearLayers(category) {
-      var _this4 = this;
-
-      // Find all layers in _byCategory[category]
-      var catTable = this._byCategory[category];
-
-      if (!catTable) {
-        return false;
-      } // Remove all layers. Make copy of keys to avoid mutating the collection
-      // behind the iterator you're accessing.
-
-
-      var stamps = [];
-
-      _jquery2["default"].each(catTable, function (k, v) {
-        stamps.push(k);
-      });
-
-      _jquery2["default"].each(stamps, function (i, stamp) {
-        _this4._removeLayer(stamp);
-      });
-    }
-  }, {
-    key: "getLayerGroup",
-    value: function getLayerGroup(group, ensureExists) {
-      var g = this._groupContainers[group];
-
-      if (ensureExists && !g) {
-        this._byGroup[group] = this._byGroup[group] || {};
-        g = this._groupContainers[group] = _leaflet2["default"].featureGroup();
-        g.groupname = group;
-        g.addTo(this._map);
-      }
-
-      return g;
-    }
-  }, {
-    key: "getGroupNameFromLayerGroup",
-    value: function getGroupNameFromLayerGroup(layerGroup) {
-      return layerGroup.groupname;
-    }
-  }, {
-    key: "getVisibleGroups",
-    value: function getVisibleGroups() {
-      var _this5 = this;
-
-      var result = [];
-
-      _jquery2["default"].each(this._groupContainers, function (k, v) {
-        if (_this5._map.hasLayer(v)) {
-          result.push(k);
-        }
-      });
-
-      return result;
-    }
-  }, {
-    key: "getAllGroupNames",
-    value: function getAllGroupNames() {
-      var result = [];
-
-      _jquery2["default"].each(this._groupContainers, function (k, v) {
-        result.push(k);
-      });
-
-      return result;
-    }
-  }, {
-    key: "clearGroup",
-    value: function clearGroup(group) {
-      var _this6 = this;
-
-      // Find all layers in _byGroup[group]
-      var groupTable = this._byGroup[group];
-
-      if (!groupTable) {
-        return false;
-      } // Remove all layers. Make copy of keys to avoid mutating the collection
-      // behind the iterator you're accessing.
-
-
-      var stamps = [];
-
-      _jquery2["default"].each(groupTable, function (k, v) {
-        stamps.push(k);
-      });
-
-      _jquery2["default"].each(stamps, function (i, stamp) {
-        _this6._removeLayer(stamp);
-      });
-    }
-  }, {
-    key: "clear",
-    value: function clear() {
-      function clearLayerGroup(key, layerGroup) {
-        layerGroup.clearLayers();
-      } // Clear all indices and layerGroups
-
-
-      this._byGroup = {};
-      this._byCategory = {};
-      this._byLayerId = {};
-      this._byStamp = {};
-      this._byCrosstalkGroup = {};
-
-      _jquery2["default"].each(this._categoryContainers, clearLayerGroup);
-
-      this._categoryContainers = {};
-
-      _jquery2["default"].each(this._groupContainers, clearLayerGroup);
-
-      this._groupContainers = {};
-    }
-  }, {
-    key: "_removeLayer",
-    value: function _removeLayer(layer) {
-      var stamp;
-
-      if (typeof layer === "string") {
-        stamp = layer;
-      } else {
-        stamp = _leaflet2["default"].Util.stamp(layer);
-      }
-
-      var layerInfo = this._byStamp[stamp];
-
-      if (!layerInfo) {
-        return false;
-      }
-
-      layerInfo.container.removeLayer(stamp);
-
-      if (typeof layerInfo.group === "string") {
-        delete this._byGroup[layerInfo.group][stamp];
-      }
-
-      if (typeof layerInfo.layerId === "string") {
-        delete this._byLayerId[this._layerIdKey(layerInfo.category, layerInfo.layerId)];
-      }
-
-      delete this._byCategory[layerInfo.category][stamp];
-      delete this._byStamp[stamp];
-
-      if (layerInfo.ctGroup) {
-        var ctGroup = this._byCrosstalkGroup[layerInfo.ctGroup];
-        var layersForKey = ctGroup[layerInfo.ctKey];
-        var idx = layersForKey ? layersForKey.indexOf(stamp) : -1;
-
-        if (idx >= 0) {
-          if (layersForKey.length === 1) {
-            delete ctGroup[layerInfo.ctKey];
-          } else {
-            layersForKey.splice(idx, 1);
-          }
-        }
-      }
-    }
-  }, {
-    key: "_layerIdKey",
-    value: function _layerIdKey(category, layerId) {
-      return category + "\n" + layerId;
-    }
-  }]);
-
-  return LayerManager;
-}();
-
-exports["default"] = LayerManager;
-
-
-}).call(this)}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{"./global/jquery":9,"./global/leaflet":10,"./util":17}],15:[function(require,module,exports){
-(function (global){(function (){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _jquery = require("./global/jquery");
-
-var _jquery2 = _interopRequireDefault(_jquery);
-
-var _leaflet = require("./global/leaflet");
-
-var _leaflet2 = _interopRequireDefault(_leaflet);
-
-var _shiny = require("./global/shiny");
-
-var _shiny2 = _interopRequireDefault(_shiny);
-
-var _htmlwidgets = require("./global/htmlwidgets");
-
-var _htmlwidgets2 = _interopRequireDefault(_htmlwidgets);
-
-var _util = require("./util");
-
-var _crs_utils = require("./crs_utils");
-
-var _dataframe = require("./dataframe");
-
-var _dataframe2 = _interopRequireDefault(_dataframe);
-
-var _clusterLayerStore = require("./cluster-layer-store");
-
-var _clusterLayerStore2 = _interopRequireDefault(_clusterLayerStore);
-
-var _mipmapper = require("./mipmapper");
-
-var _mipmapper2 = _interopRequireDefault(_mipmapper);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
-
-var methods = {};
-exports["default"] = methods;
-
-function mouseHandler(mapId, layerId, group, eventName, extraInfo) {
-  return function (e) {
-    if (!_htmlwidgets2["default"].shinyMode) return;
-    var latLng = e.target.getLatLng ? e.target.getLatLng() : e.latlng;
-
-    if (latLng) {
-      // retrieve only lat, lon values to remove prototype
-      //   and extra parameters added by 3rd party modules
-      // these objects are for json serialization, not javascript
-      var latLngVal = _leaflet2["default"].latLng(latLng); // make sure it has consistent shape
-
-
-      latLng = {
-        lat: latLngVal.lat,
-        lng: latLngVal.lng
-      };
-    }
-
-    var eventInfo = _jquery2["default"].extend({
-      id: layerId,
-      ".nonce": Math.random() // force reactivity
-
-    }, group !== null ? {
-      group: group
-    } : null, latLng, extraInfo);
-
-    _shiny2["default"].onInputChange(mapId + "_" + eventName, eventInfo);
-  };
-}
-
-methods.mouseHandler = mouseHandler;
-
-methods.clearGroup = function (group) {
-  var _this = this;
-
-  _jquery2["default"].each((0, _util.asArray)(group), function (i, v) {
-    _this.layerManager.clearGroup(v);
-  });
-};
-
-methods.setView = function (center, zoom, options) {
-  this.setView(center, zoom, options);
-};
-
-methods.fitBounds = function (lat1, lng1, lat2, lng2, options) {
-  this.fitBounds([[lat1, lng1], [lat2, lng2]], options);
-};
-
-methods.flyTo = function (center, zoom, options) {
-  this.flyTo(center, zoom, options);
-};
-
-methods.flyToBounds = function (lat1, lng1, lat2, lng2, options) {
-  this.flyToBounds([[lat1, lng1], [lat2, lng2]], options);
-};
-
-methods.setMaxBounds = function (lat1, lng1, lat2, lng2) {
-  this.setMaxBounds([[lat1, lng1], [lat2, lng2]]);
-};
-
-methods.addPopups = function (lat, lng, popup, layerId, group, options) {
-  var _this2 = this;
-
-  var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("popup", popup).col("layerId", layerId).col("group", group).cbind(options);
-
-  var _loop = function _loop(i) {
-    if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng"))) {
-      (function () {
-        var popup = _leaflet2["default"].popup(df.get(i)).setLatLng([df.get(i, "lat"), df.get(i, "lng")]).setContent(df.get(i, "popup"));
-
-        var thisId = df.get(i, "layerId");
-        var thisGroup = df.get(i, "group");
-        this.layerManager.addLayer(popup, "popup", thisId, thisGroup);
-      }).call(_this2);
-    }
-  };
-
-  for (var i = 0; i < df.nrow(); i++) {
-    _loop(i);
-  }
-};
-
-methods.removePopup = function (layerId) {
-  this.layerManager.removeLayer("popup", layerId);
-};
-
-methods.clearPopups = function () {
-  this.layerManager.clearLayers("popup");
-};
-
-methods.addTiles = function (urlTemplate, layerId, group, options) {
-  this.layerManager.addLayer(_leaflet2["default"].tileLayer(urlTemplate, options), "tile", layerId, group);
-};
-
-methods.removeTiles = function (layerId) {
-  this.layerManager.removeLayer("tile", layerId);
-};
-
-methods.clearTiles = function () {
-  this.layerManager.clearLayers("tile");
-};
-
-methods.addWMSTiles = function (baseUrl, layerId, group, options) {
-  if (options && options.crs) {
-    options.crs = (0, _crs_utils.getCRS)(options.crs);
-  }
-
-  this.layerManager.addLayer(_leaflet2["default"].tileLayer.wms(baseUrl, options), "tile", layerId, group);
-}; // Given:
-//   {data: ["a", "b", "c"], index: [0, 1, 0, 2]}
-// returns:
-//   ["a", "b", "a", "c"]
-
-
-function unpackStrings(iconset) {
-  if (!iconset) {
-    return iconset;
-  }
-
-  if (typeof iconset.index === "undefined") {
-    return iconset;
-  }
-
-  iconset.data = (0, _util.asArray)(iconset.data);
-  iconset.index = (0, _util.asArray)(iconset.index);
-  return _jquery2["default"].map(iconset.index, function (e, i) {
-    return iconset.data[e];
-  });
-}
-
-function addMarkers(map, df, group, clusterOptions, clusterId, markerFunc) {
-  (function () {
-    var _this3 = this;
-
-    var clusterGroup = this.layerManager.getLayer("cluster", clusterId),
-        cluster = clusterOptions !== null;
-
-    if (cluster && !clusterGroup) {
-      clusterGroup = _leaflet2["default"].markerClusterGroup.layerSupport(clusterOptions);
-
-      if (clusterOptions.freezeAtZoom) {
-        var freezeAtZoom = clusterOptions.freezeAtZoom;
-        delete clusterOptions.freezeAtZoom;
-        clusterGroup.freezeAtZoom(freezeAtZoom);
-      }
-
-      clusterGroup.clusterLayerStore = new _clusterLayerStore2["default"](clusterGroup);
-    }
-
-    var extraInfo = cluster ? {
-      clusterId: clusterId
-    } : {};
-
-    var _loop2 = function _loop2(i) {
-      if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng"))) {
-        (function () {
-          var marker = markerFunc(df, i);
-          var thisId = df.get(i, "layerId");
-          var thisGroup = cluster ? null : df.get(i, "group");
-
-          if (cluster) {
-            clusterGroup.clusterLayerStore.add(marker, thisId);
-          } else {
-            this.layerManager.addLayer(marker, "marker", thisId, thisGroup, df.get(i, "ctGroup", true), df.get(i, "ctKey", true));
-          }
-
-          var popup = df.get(i, "popup");
-          var popupOptions = df.get(i, "popupOptions");
-
-          if (popup !== null) {
-            if (popupOptions !== null) {
-              marker.bindPopup(popup, popupOptions);
-            } else {
-              marker.bindPopup(popup);
-            }
-          }
-
-          var label = df.get(i, "label");
-          var labelOptions = df.get(i, "labelOptions");
-
-          if (label !== null) {
-            if (labelOptions !== null) {
-              if (labelOptions.permanent) {
-                marker.bindTooltip(label, labelOptions).openTooltip();
-              } else {
-                marker.bindTooltip(label, labelOptions);
-              }
-            } else {
-              marker.bindTooltip(label);
-            }
-          }
-
-          marker.on("click", mouseHandler(this.id, thisId, thisGroup, "marker_click", extraInfo), this);
-          marker.on("mouseover", mouseHandler(this.id, thisId, thisGroup, "marker_mouseover", extraInfo), this);
-          marker.on("mouseout", mouseHandler(this.id, thisId, thisGroup, "marker_mouseout", extraInfo), this);
-          marker.on("dragend", mouseHandler(this.id, thisId, thisGroup, "marker_dragend", extraInfo), this);
-        }).call(_this3);
-      }
-    };
-
-    for (var i = 0; i < df.nrow(); i++) {
-      _loop2(i);
-    }
-
-    if (cluster) {
-      this.layerManager.addLayer(clusterGroup, "cluster", clusterId, group);
-    }
-  }).call(map);
-}
-
-methods.addGenericMarkers = addMarkers;
-
-methods.addMarkers = function (lat, lng, icon, layerId, group, options, popup, popupOptions, clusterOptions, clusterId, label, labelOptions, crosstalkOptions) {
-  var icondf;
-  var getIcon;
-
-  if (icon) {
-    // Unpack icons
-    icon.iconUrl = unpackStrings(icon.iconUrl);
-    icon.iconRetinaUrl = unpackStrings(icon.iconRetinaUrl);
-    icon.shadowUrl = unpackStrings(icon.shadowUrl);
-    icon.shadowRetinaUrl = unpackStrings(icon.shadowRetinaUrl); // This cbinds the icon URLs and any other icon options; they're all
-    // present on the icon object.
-
-    icondf = new _dataframe2["default"]().cbind(icon); // Constructs an icon from a specified row of the icon dataframe.
-
-    getIcon = function getIcon(i) {
-      var opts = icondf.get(i);
-
-      if (!opts.iconUrl) {
-        return new _leaflet2["default"].Icon.Default();
-      } // Composite options (like points or sizes) are passed from R with each
-      // individual component as its own option. We need to combine them now
-      // into their composite form.
-
-
-      if (opts.iconWidth) {
-        opts.iconSize = [opts.iconWidth, opts.iconHeight];
-      }
-
-      if (opts.shadowWidth) {
-        opts.shadowSize = [opts.shadowWidth, opts.shadowHeight];
-      }
-
-      if (opts.iconAnchorX) {
-        opts.iconAnchor = [opts.iconAnchorX, opts.iconAnchorY];
-      }
-
-      if (opts.shadowAnchorX) {
-        opts.shadowAnchor = [opts.shadowAnchorX, opts.shadowAnchorY];
-      }
-
-      if (opts.popupAnchorX) {
-        opts.popupAnchor = [opts.popupAnchorX, opts.popupAnchorY];
-      }
-
-      return new _leaflet2["default"].Icon(opts);
-    };
-  }
-
-  if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
-    var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(options).cbind(crosstalkOptions || {});
-    if (icon) icondf.effectiveLength = df.nrow();
-    addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
-      var options = df.get(i);
-      if (icon) options.icon = getIcon(i);
-      return _leaflet2["default"].marker([df.get(i, "lat"), df.get(i, "lng")], options);
-    });
-  }
-};
-
-methods.addAwesomeMarkers = function (lat, lng, icon, layerId, group, options, popup, popupOptions, clusterOptions, clusterId, label, labelOptions, crosstalkOptions) {
-  var icondf;
-  var getIcon;
-
-  if (icon) {
-    // This cbinds the icon URLs and any other icon options; they're all
-    // present on the icon object.
-    icondf = new _dataframe2["default"]().cbind(icon); // Constructs an icon from a specified row of the icon dataframe.
-
-    getIcon = function getIcon(i) {
-      var opts = icondf.get(i);
-
-      if (!opts) {
-        return new _leaflet2["default"].AwesomeMarkers.icon();
-      }
-
-      if (opts.squareMarker) {
-        opts.className = "awesome-marker awesome-marker-square";
-      }
-
-      return new _leaflet2["default"].AwesomeMarkers.icon(opts);
-    };
-  }
-
-  if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
-    var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(options).cbind(crosstalkOptions || {});
-    if (icon) icondf.effectiveLength = df.nrow();
-    addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
-      var options = df.get(i);
-      if (icon) options.icon = getIcon(i);
-      return _leaflet2["default"].marker([df.get(i, "lat"), df.get(i, "lng")], options);
-    });
-  }
-};
-
-function addLayers(map, category, df, layerFunc) {
-  var _loop3 = function _loop3(i) {
-    (function () {
-      var layer = layerFunc(df, i);
-
-      if (!_jquery2["default"].isEmptyObject(layer)) {
-        var thisId = df.get(i, "layerId");
-        var thisGroup = df.get(i, "group");
-        this.layerManager.addLayer(layer, category, thisId, thisGroup, df.get(i, "ctGroup", true), df.get(i, "ctKey", true));
-
-        if (layer.bindPopup) {
-          var popup = df.get(i, "popup");
-          var popupOptions = df.get(i, "popupOptions");
-
-          if (popup !== null) {
-            if (popupOptions !== null) {
-              layer.bindPopup(popup, popupOptions);
-            } else {
-              layer.bindPopup(popup);
-            }
-          }
-        }
-
-        if (layer.bindTooltip) {
-          var label = df.get(i, "label");
-          var labelOptions = df.get(i, "labelOptions");
-
-          if (label !== null) {
-            if (labelOptions !== null) {
-              layer.bindTooltip(label, labelOptions);
-            } else {
-              layer.bindTooltip(label);
-            }
-          }
-        }
-
-        layer.on("click", mouseHandler(this.id, thisId, thisGroup, category + "_click"), this);
-        layer.on("mouseover", mouseHandler(this.id, thisId, thisGroup, category + "_mouseover"), this);
-        layer.on("mouseout", mouseHandler(this.id, thisId, thisGroup, category + "_mouseout"), this);
-        var highlightStyle = df.get(i, "highlightOptions");
-
-        if (!_jquery2["default"].isEmptyObject(highlightStyle)) {
-          var defaultStyle = {};
-
-          _jquery2["default"].each(highlightStyle, function (k, v) {
-            if (k != "bringToFront" && k != "sendToBack") {
-              if (df.get(i, k)) {
-                defaultStyle[k] = df.get(i, k);
-              }
-            }
-          });
-
-          layer.on("mouseover", function (e) {
-            this.setStyle(highlightStyle);
-
-            if (highlightStyle.bringToFront) {
-              this.bringToFront();
-            }
-          });
-          layer.on("mouseout", function (e) {
-            this.setStyle(defaultStyle);
-
-            if (highlightStyle.sendToBack) {
-              this.bringToBack();
-            }
-          });
-        }
-      }
-    }).call(map);
-  };
-
-  for (var i = 0; i < df.nrow(); i++) {
-    _loop3(i);
-  }
-}
-
-methods.addGenericLayers = addLayers;
-
-methods.addCircles = function (lat, lng, radius, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions, crosstalkOptions) {
-  if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
-    var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("radius", radius).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options).cbind(crosstalkOptions || {});
-    addLayers(this, "shape", df, function (df, i) {
-      if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng")) && _jquery2["default"].isNumeric(df.get(i, "radius"))) {
-        return _leaflet2["default"].circle([df.get(i, "lat"), df.get(i, "lng")], df.get(i, "radius"), df.get(i));
-      } else {
-        return null;
-      }
-    });
-  }
-};
-
-methods.addCircleMarkers = function (lat, lng, radius, layerId, group, options, clusterOptions, clusterId, popup, popupOptions, label, labelOptions, crosstalkOptions) {
-  if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
-    var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("radius", radius).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(crosstalkOptions || {}).cbind(options);
-    addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
-      return _leaflet2["default"].circleMarker([df.get(i, "lat"), df.get(i, "lng")], df.get(i));
-    });
-  }
-};
-/*
- * @param lat Array of arrays of latitude coordinates for polylines
- * @param lng Array of arrays of longitude coordinates for polylines
- */
-
-
-methods.addPolylines = function (polygons, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
-  if (polygons.length > 0) {
-    var df = new _dataframe2["default"]().col("shapes", polygons).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
-    addLayers(this, "shape", df, function (df, i) {
-      var shapes = df.get(i, "shapes");
-      shapes = shapes.map(function (shape) {
-        return _htmlwidgets2["default"].dataframeToD3(shape[0]);
-      });
-
-      if (shapes.length > 1) {
-        return _leaflet2["default"].polyline(shapes, df.get(i));
-      } else {
-        return _leaflet2["default"].polyline(shapes[0], df.get(i));
-      }
-    });
-  }
-};
-
-methods.removeMarker = function (layerId) {
-  this.layerManager.removeLayer("marker", layerId);
-};
-
-methods.clearMarkers = function () {
-  this.layerManager.clearLayers("marker");
-};
-
-methods.removeMarkerCluster = function (layerId) {
-  this.layerManager.removeLayer("cluster", layerId);
-};
-
-methods.removeMarkerFromCluster = function (layerId, clusterId) {
-  var cluster = this.layerManager.getLayer("cluster", clusterId);
-  if (!cluster) return;
-  cluster.clusterLayerStore.remove(layerId);
-};
-
-methods.clearMarkerClusters = function () {
-  this.layerManager.clearLayers("cluster");
-};
-
-methods.removeShape = function (layerId) {
-  this.layerManager.removeLayer("shape", layerId);
-};
-
-methods.clearShapes = function () {
-  this.layerManager.clearLayers("shape");
-};
-
-methods.addRectangles = function (lat1, lng1, lat2, lng2, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
-  var df = new _dataframe2["default"]().col("lat1", lat1).col("lng1", lng1).col("lat2", lat2).col("lng2", lng2).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
-  addLayers(this, "shape", df, function (df, i) {
-    if (_jquery2["default"].isNumeric(df.get(i, "lat1")) && _jquery2["default"].isNumeric(df.get(i, "lng1")) && _jquery2["default"].isNumeric(df.get(i, "lat2")) && _jquery2["default"].isNumeric(df.get(i, "lng2"))) {
-      return _leaflet2["default"].rectangle([[df.get(i, "lat1"), df.get(i, "lng1")], [df.get(i, "lat2"), df.get(i, "lng2")]], df.get(i));
-    } else {
-      return null;
-    }
-  });
-};
-/*
- * @param lat Array of arrays of latitude coordinates for polygons
- * @param lng Array of arrays of longitude coordinates for polygons
- */
-
-
-methods.addPolygons = function (polygons, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
-  if (polygons.length > 0) {
-    var df = new _dataframe2["default"]().col("shapes", polygons).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
-    addLayers(this, "shape", df, function (df, i) {
-      // This code used to use L.multiPolygon, but that caused
-      // double-click on a multipolygon to fail to zoom in on the
-      // map. Surprisingly, putting all the rings in a single
-      // polygon seems to still work; complicated multipolygons
-      // are still rendered correctly.
-      var shapes = df.get(i, "shapes").map(function (polygon) {
-        return polygon.map(_htmlwidgets2["default"].dataframeToD3);
-      }).reduce(function (acc, val) {
-        return acc.concat(val);
-      }, []);
-      return _leaflet2["default"].polygon(shapes, df.get(i));
-    });
-  }
-};
-
-methods.addGeoJSON = function (data, layerId, group, style) {
-  // This time, self is actually needed because the callbacks below need
-  // to access both the inner and outer senses of "this"
-  var self = this;
-
-  if (typeof data === "string") {
-    data = JSON.parse(data);
-  }
-
-  var globalStyle = _jquery2["default"].extend({}, style, data.style || {});
-
-  var gjlayer = _leaflet2["default"].geoJson(data, {
-    style: function style(feature) {
-      if (feature.style || feature.properties.style) {
-        return _jquery2["default"].extend({}, globalStyle, feature.style, feature.properties.style);
-      } else {
-        return globalStyle;
-      }
-    },
-    onEachFeature: function onEachFeature(feature, layer) {
-      var extraInfo = {
-        featureId: feature.id,
-        properties: feature.properties
-      };
-      var popup = feature.properties ? feature.properties.popup : null;
-      if (typeof popup !== "undefined" && popup !== null) layer.bindPopup(popup);
-      layer.on("click", mouseHandler(self.id, layerId, group, "geojson_click", extraInfo), this);
-      layer.on("mouseover", mouseHandler(self.id, layerId, group, "geojson_mouseover", extraInfo), this);
-      layer.on("mouseout", mouseHandler(self.id, layerId, group, "geojson_mouseout", extraInfo), this);
-    }
-  });
-
-  this.layerManager.addLayer(gjlayer, "geojson", layerId, group);
-};
-
-methods.removeGeoJSON = function (layerId) {
-  this.layerManager.removeLayer("geojson", layerId);
-};
-
-methods.clearGeoJSON = function () {
-  this.layerManager.clearLayers("geojson");
-};
-
-methods.addTopoJSON = function (data, layerId, group, style) {
-  // This time, self is actually needed because the callbacks below need
-  // to access both the inner and outer senses of "this"
-  var self = this;
-
-  if (typeof data === "string") {
-    data = JSON.parse(data);
-  }
-
-  var globalStyle = _jquery2["default"].extend({}, style, data.style || {});
-
-  var gjlayer = _leaflet2["default"].geoJson(null, {
-    style: function style(feature) {
-      if (feature.style || feature.properties.style) {
-        return _jquery2["default"].extend({}, globalStyle, feature.style, feature.properties.style);
-      } else {
-        return globalStyle;
-      }
-    },
-    onEachFeature: function onEachFeature(feature, layer) {
-      var extraInfo = {
-        featureId: feature.id,
-        properties: feature.properties
-      };
-      var popup = feature.properties.popup;
-      if (typeof popup !== "undefined" && popup !== null) layer.bindPopup(popup);
-      layer.on("click", mouseHandler(self.id, layerId, group, "topojson_click", extraInfo), this);
-      layer.on("mouseover", mouseHandler(self.id, layerId, group, "topojson_mouseover", extraInfo), this);
-      layer.on("mouseout", mouseHandler(self.id, layerId, group, "topojson_mouseout", extraInfo), this);
-    }
-  });
-
-  global.omnivore.topojson.parse(data, null, gjlayer);
-  this.layerManager.addLayer(gjlayer, "topojson", layerId, group);
-};
-
-methods.removeTopoJSON = function (layerId) {
-  this.layerManager.removeLayer("topojson", layerId);
-};
-
-methods.clearTopoJSON = function () {
-  this.layerManager.clearLayers("topojson");
-};
-
-methods.addControl = function (html, position, layerId, classes) {
-  function onAdd(map) {
-    var div = _leaflet2["default"].DomUtil.create("div", classes);
-
-    if (typeof layerId !== "undefined" && layerId !== null) {
-      div.setAttribute("id", layerId);
-    }
-
-    this._div = div; // It's possible for window.Shiny to be true but Shiny.initializeInputs to
-    // not be, when a static leaflet widget is included as part of the shiny
-    // UI directly (not through leafletOutput or uiOutput). In this case we
-    // don't do the normal Shiny stuff as that will all happen when Shiny
-    // itself loads and binds the entire doc.
-
-    if (window.Shiny && _shiny2["default"].initializeInputs) {
-      _shiny2["default"].renderHtml(html, this._div);
-
-      _shiny2["default"].initializeInputs(this._div);
-
-      _shiny2["default"].bindAll(this._div);
-    } else {
-      this._div.innerHTML = html;
-    }
-
-    return this._div;
-  }
-
-  function onRemove(map) {
-    if (window.Shiny && _shiny2["default"].unbindAll) {
-      _shiny2["default"].unbindAll(this._div);
-    }
-  }
-
-  var Control = _leaflet2["default"].Control.extend({
-    options: {
-      position: position
-    },
-    onAdd: onAdd,
-    onRemove: onRemove
-  });
-
-  this.controls.add(new Control(), layerId, html);
-};
-
-methods.addCustomControl = function (control, layerId) {
-  this.controls.add(control, layerId);
-};
-
-methods.removeControl = function (layerId) {
-  this.controls.remove(layerId);
-};
-
-methods.getControl = function (layerId) {
-  this.controls.get(layerId);
-};
-
-methods.clearControls = function () {
-  this.controls.clear();
-};
-
-methods.addLegend = function (options) {
-  var legend = _leaflet2["default"].control({
-    position: options.position
-  });
-
-  var gradSpan;
-
-  legend.onAdd = function (map) {
-    var div = _leaflet2["default"].DomUtil.create("div", options.className),
-        colors = options.colors,
-        labels = options.labels,
-        legendHTML = "";
-
-    if (options.type === "numeric") {
-      // # Formatting constants.
-      var singleBinHeight = 20; // The distance between tick marks, in px
-
-      var vMargin = 8; // If 1st tick mark starts at top of gradient, how
-      // many extra px are needed for the top half of the
-      // 1st label? (ditto for last tick mark/label)
-
-      var tickWidth = 4; // How wide should tick marks be, in px?
-
-      var labelPadding = 6; // How much distance to reserve for tick mark?
-      // (Must be >= tickWidth)
-      // # Derived formatting parameters.
-      // What's the height of a single bin, in percentage (of gradient height)?
-      // It might not just be 1/(n-1), if the gradient extends past the tick
-      // marks (which can be the case for pretty cut points).
-
-      var singleBinPct = (options.extra.p_n - options.extra.p_1) / (labels.length - 1); // Each bin is `singleBinHeight` high. How tall is the gradient?
-
-      var totalHeight = 1 / singleBinPct * singleBinHeight + 1; // How far should the first tick be shifted down, relative to the top
-      // of the gradient?
-
-      var tickOffset = singleBinHeight / singleBinPct * options.extra.p_1;
-      gradSpan = (0, _jquery2["default"])("<span/>").css({
-        "background": "linear-gradient(" + colors + ")",
-        "opacity": options.opacity,
-        "height": totalHeight + "px",
-        "width": "18px",
-        "display": "block",
-        "margin-top": vMargin + "px"
-      });
-      var leftDiv = (0, _jquery2["default"])("<div/>").css("float", "left"),
-          rightDiv = (0, _jquery2["default"])("<div/>").css("float", "left");
-      leftDiv.append(gradSpan);
-      (0, _jquery2["default"])(div).append(leftDiv).append(rightDiv).append((0, _jquery2["default"])("<br>")); // Have to attach the div to the body at this early point, so that the
-      // svg text getComputedTextLength() actually works, below.
-
-      document.body.appendChild(div);
-      var ns = "http://www.w3.org/2000/svg";
-      var svg = document.createElementNS(ns, "svg");
-      rightDiv.append(svg);
-      var g = document.createElementNS(ns, "g");
-      (0, _jquery2["default"])(g).attr("transform", "translate(0, " + vMargin + ")");
-      svg.appendChild(g); // max label width needed to set width of svg, and right-justify text
-
-      var maxLblWidth = 0; // Create tick marks and labels
-
-      _jquery2["default"].each(labels, function (i, label) {
-        var y = tickOffset + i * singleBinHeight + 0.5;
-        var thisLabel = document.createElementNS(ns, "text");
-        (0, _jquery2["default"])(thisLabel).text(labels[i]).attr("y", y).attr("dx", labelPadding).attr("dy", "0.5ex");
-        g.appendChild(thisLabel);
-        maxLblWidth = Math.max(maxLblWidth, thisLabel.getComputedTextLength());
-        var thisTick = document.createElementNS(ns, "line");
-        (0, _jquery2["default"])(thisTick).attr("x1", 0).attr("x2", tickWidth).attr("y1", y).attr("y2", y).attr("stroke-width", 1);
-        g.appendChild(thisTick);
-      }); // Now that we know the max label width, we can right-justify
-
-
-      (0, _jquery2["default"])(svg).find("text").attr("dx", labelPadding + maxLblWidth).attr("text-anchor", "end"); // Final size for <svg>
-
-      (0, _jquery2["default"])(svg).css({
-        width: maxLblWidth + labelPadding + "px",
-        height: totalHeight + vMargin * 2 + "px"
-      });
-
-      if (options.na_color && _jquery2["default"].inArray(options.na_label, labels) < 0) {
-        (0, _jquery2["default"])(div).append("<div><i style=\"" + "background:" + options.na_color + ";opacity:" + options.opacity + ";margin-right:" + labelPadding + "px" + ";\"></i>" + options.na_label + "</div>");
-      }
-    } else {
-      if (options.na_color && _jquery2["default"].inArray(options.na_label, labels) < 0) {
-        colors.push(options.na_color);
-        labels.push(options.na_label);
-      }
-
-      for (var i = 0; i < colors.length; i++) {
-        legendHTML += "<i style=\"background:" + colors[i] + ";opacity:" + options.opacity + "\"></i> " + labels[i] + "<br>";
-      }
-
-      div.innerHTML = legendHTML;
-    }
-
-    if (options.title) (0, _jquery2["default"])(div).prepend("<div style=\"margin-bottom:3px\"><strong>" + options.title + "</strong></div>");
-    return div;
-  };
-
-  if (options.group) {
-    // Auto generate a layerID if not provided
-    if (!options.layerId) {
-      options.layerId = _leaflet2["default"].Util.stamp(legend);
-    }
-
-    var map = this;
-    map.on("overlayadd", function (e) {
-      if (e.name === options.group) {
-        map.controls.add(legend, options.layerId);
-      }
-    });
-    map.on("overlayremove", function (e) {
-      if (e.name === options.group) {
-        map.controls.remove(options.layerId);
-      }
-    });
-    map.on("groupadd", function (e) {
-      if (e.name === options.group) {
-        map.controls.add(legend, options.layerId);
-      }
-    });
-    map.on("groupremove", function (e) {
-      if (e.name === options.group) {
-        map.controls.remove(options.layerId);
-      }
-    });
-  }
-
-  this.controls.add(legend, options.layerId);
-};
-
-methods.addLayersControl = function (baseGroups, overlayGroups, options) {
-  var _this4 = this;
-
-  // Only allow one layers control at a time
-  methods.removeLayersControl.call(this);
-  var firstLayer = true;
-  var base = {};
-
-  _jquery2["default"].each((0, _util.asArray)(baseGroups), function (i, g) {
-    var layer = _this4.layerManager.getLayerGroup(g, true);
-
-    if (layer) {
-      base[g] = layer; // Check if >1 base layers are visible; if so, hide all but the first one
-
-      if (_this4.hasLayer(layer)) {
-        if (firstLayer) {
-          firstLayer = false;
-        } else {
-          _this4.removeLayer(layer);
-        }
-      }
-    }
-  });
-
-  var overlay = {};
-
-  _jquery2["default"].each((0, _util.asArray)(overlayGroups), function (i, g) {
-    var layer = _this4.layerManager.getLayerGroup(g, true);
-
-    if (layer) {
-      overlay[g] = layer;
-    }
-  });
-
-  this.currentLayersControl = _leaflet2["default"].control.layers(base, overlay, options);
-  this.addControl(this.currentLayersControl);
-};
-
-methods.removeLayersControl = function () {
-  if (this.currentLayersControl) {
-    this.removeControl(this.currentLayersControl);
-    this.currentLayersControl = null;
-  }
-};
-
-methods.addScaleBar = function (options) {
-  // Only allow one scale bar at a time
-  methods.removeScaleBar.call(this);
-
-  var scaleBar = _leaflet2["default"].control.scale(options).addTo(this);
-
-  this.currentScaleBar = scaleBar;
-};
-
-methods.removeScaleBar = function () {
-  if (this.currentScaleBar) {
-    this.currentScaleBar.remove();
-    this.currentScaleBar = null;
-  }
-};
-
-methods.hideGroup = function (group) {
-  var _this5 = this;
-
-  _jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
-    var layer = _this5.layerManager.getLayerGroup(g, true);
-
-    if (layer) {
-      _this5.removeLayer(layer);
-    }
-  });
-};
-
-methods.showGroup = function (group) {
-  var _this6 = this;
-
-  _jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
-    var layer = _this6.layerManager.getLayerGroup(g, true);
-
-    if (layer) {
-      _this6.addLayer(layer);
-    }
-  });
-};
-
-function setupShowHideGroupsOnZoom(map) {
-  if (map.leafletr._hasInitializedShowHideGroups) {
-    return;
-  }
-
-  map.leafletr._hasInitializedShowHideGroups = true;
-
-  function setVisibility(layer, visible, group) {
-    if (visible !== map.hasLayer(layer)) {
-      if (visible) {
-        map.addLayer(layer);
-        map.fire("groupadd", {
-          "name": group,
-          "layer": layer
-        });
-      } else {
-        map.removeLayer(layer);
-        map.fire("groupremove", {
-          "name": group,
-          "layer": layer
-        });
-      }
-    }
-  }
-
-  function showHideGroupsOnZoom() {
-    if (!map.layerManager) return;
-    var zoom = map.getZoom();
-    map.layerManager.getAllGroupNames().forEach(function (group) {
-      var layer = map.layerManager.getLayerGroup(group, false);
-
-      if (layer && typeof layer.zoomLevels !== "undefined") {
-        setVisibility(layer, layer.zoomLevels === true || layer.zoomLevels.indexOf(zoom) >= 0, group);
-      }
-    });
-  }
-
-  map.showHideGroupsOnZoom = showHideGroupsOnZoom;
-  map.on("zoomend", showHideGroupsOnZoom);
-}
-
-methods.setGroupOptions = function (group, options) {
-  var _this7 = this;
-
-  _jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
-    var layer = _this7.layerManager.getLayerGroup(g, true); // This slightly tortured check is because 0 is a valid value for zoomLevels
-
-
-    if (typeof options.zoomLevels !== "undefined" && options.zoomLevels !== null) {
-      layer.zoomLevels = (0, _util.asArray)(options.zoomLevels);
-    }
-  });
-
-  setupShowHideGroupsOnZoom(this);
-  this.showHideGroupsOnZoom();
-};
-
-methods.addRasterImage = function (uri, bounds, layerId, group, options) {
-  // uri is a data URI containing an image. We want to paint this image as a
-  // layer at (top-left) bounds[0] to (bottom-right) bounds[1].
-  // We can't simply use ImageOverlay, as it uses bilinear scaling which looks
-  // awful as you zoom in (and sometimes shifts positions or disappears).
-  // Instead, we'll use a TileLayer.Canvas to draw pieces of the image.
-  // First, some helper functions.
-  // degree2tile converts latitude, longitude, and zoom to x and y tile
-  // numbers. The tile numbers returned can be non-integral, as there's no
-  // reason to expect that the lat/lng inputs are exactly on the border of two
-  // tiles.
-  //
-  // We'll use this to convert the bounds we got from the server, into coords
-  // in tile-space at a given zoom level. Note that once we do the conversion,
-  // we don't to do any more trigonometry to convert between pixel coordinates
-  // and tile coordinates; the source image pixel coords, destination canvas
-  // pixel coords, and tile coords all can be scaled linearly.
-  function degree2tile(lat, lng, zoom) {
-    // See http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
-    var latRad = lat * Math.PI / 180;
-    var n = Math.pow(2, zoom);
-    var x = (lng + 180) / 360 * n;
-    var y = (1 - Math.log(Math.tan(latRad) + 1 / Math.cos(latRad)) / Math.PI) / 2 * n;
-    return {
-      x: x,
-      y: y
-    };
-  } // Given a range [from,to) and either one or two numbers, returns true if
-  // there is any overlap between [x,x1) and the range--or if x1 is omitted,
-  // then returns true if x is within [from,to).
-
-
-  function overlap(from, to, x,
-  /* optional */
-  x1) {
-    if (arguments.length == 3) x1 = x;
-    return x < to && x1 >= from;
-  }
-
-  function getCanvasSmoothingProperty(ctx) {
-    var candidates = ["imageSmoothingEnabled", "mozImageSmoothingEnabled", "webkitImageSmoothingEnabled", "msImageSmoothingEnabled"];
-
-    for (var i = 0; i < candidates.length; i++) {
-      if (typeof ctx[candidates[i]] !== "undefined") {
-        return candidates[i];
-      }
-    }
-
-    return null;
-  } // Our general strategy is to:
-  // 1. Load the data URI in an Image() object, so we can get its pixel
-  //    dimensions and the underlying image data. (We could have done this
-  //    by not encoding as PNG at all but just send an array of RGBA values
-  //    from the server, but that would inflate the JSON too much.)
-  // 2. Create a hidden canvas that we use just to extract the image data
-  //    from the Image (using Context2D.getImageData()).
-  // 3. Create a TileLayer.Canvas and add it to the map.
-  // We want to synchronously create and attach the TileLayer.Canvas (so an
-  // immediate call to clearRasters() will be respected, for example), but
-  // Image loads its data asynchronously. Fortunately we can resolve this
-  // by putting TileLayer.Canvas into async mode, which will let us create
-  // and attach the layer but have it wait until the image is loaded before
-  // it actually draws anything.
-  // These are the variables that we will populate once the image is loaded.
-
-
-  var imgData = null; // 1d row-major array, four [0-255] integers per pixel
-
-  var imgDataMipMapper = null;
-  var w = null; // image width in pixels
-
-  var h = null; // image height in pixels
-  // We'll use this array to store callbacks that need to be invoked once
-  // imgData, w, and h have been resolved.
-
-  var imgDataCallbacks = []; // Consumers of imgData, w, and h can call this to be notified when data
-  // is available.
-
-  function getImageData(callback) {
-    if (imgData != null) {
-      // Must not invoke the callback immediately; it's too confusing and
-      // fragile to have a function invoke the callback *either* immediately
-      // or in the future. Better to be consistent here.
-      setTimeout(function () {
-        callback(imgData, w, h, imgDataMipMapper);
-      }, 0);
-    } else {
-      imgDataCallbacks.push(callback);
-    }
-  }
-
-  var img = new Image();
-
-  img.onload = function () {
-    // Save size
-    w = img.width;
-    h = img.height; // Create a dummy canvas to extract the image data
-
-    var imgDataCanvas = document.createElement("canvas");
-    imgDataCanvas.width = w;
-    imgDataCanvas.height = h;
-    imgDataCanvas.style.display = "none";
-    document.body.appendChild(imgDataCanvas);
-    var imgDataCtx = imgDataCanvas.getContext("2d");
-    imgDataCtx.drawImage(img, 0, 0); // Save the image data.
-
-    imgData = imgDataCtx.getImageData(0, 0, w, h).data;
-    imgDataMipMapper = new _mipmapper2["default"](img); // Done with the canvas, remove it from the page so it can be gc'd.
-
-    document.body.removeChild(imgDataCanvas); // Alert any getImageData callers who are waiting.
-
-    for (var i = 0; i < imgDataCallbacks.length; i++) {
-      imgDataCallbacks[i](imgData, w, h, imgDataMipMapper);
-    }
-
-    imgDataCallbacks = [];
-  };
-
-  img.src = uri;
-
-  var canvasTiles = _leaflet2["default"].gridLayer(Object.assign({}, options, {
-    detectRetina: true,
-    async: true
-  })); // NOTE: The done() function MUST NOT be invoked until after the current
-  // tick; done() looks in Leaflet's tile cache for the current tile, and
-  // since it's still being constructed, it won't be found.
-
-
-  canvasTiles.createTile = function (tilePoint, done) {
-    var zoom = tilePoint.z;
-
-    var canvas = _leaflet2["default"].DomUtil.create("canvas");
-
-    var error; // setup tile width and height according to the options
-
-    var size = this.getTileSize();
-    canvas.width = size.x;
-    canvas.height = size.y;
-    getImageData(function (imgData, w, h, mipmapper) {
-      try {
-        // The Context2D we'll being drawing onto. It's always 256x256.
-        var ctx = canvas.getContext("2d"); // Convert our image data's top-left and bottom-right locations into
-        // x/y tile coordinates. This is essentially doing a spherical mercator
-        // projection, then multiplying by 2^zoom.
-
-        var topLeft = degree2tile(bounds[0][0], bounds[0][1], zoom);
-        var bottomRight = degree2tile(bounds[1][0], bounds[1][1], zoom); // The size of the image in x/y tile coordinates.
-
-        var extent = {
-          x: bottomRight.x - topLeft.x,
-          y: bottomRight.y - topLeft.y
-        }; // Short circuit if tile is totally disjoint from image.
-
-        if (!overlap(tilePoint.x, tilePoint.x + 1, topLeft.x, bottomRight.x)) return;
-        if (!overlap(tilePoint.y, tilePoint.y + 1, topLeft.y, bottomRight.y)) return; // The linear resolution of the tile we're drawing is always 256px per tile unit.
-        // If the linear resolution (in either direction) of the image is less than 256px
-        // per tile unit, then use nearest neighbor; otherwise, use the canvas's built-in
-        // scaling.
-
-        var imgRes = {
-          x: w / extent.x,
-          y: h / extent.y
-        }; // We can do the actual drawing in one of three ways:
-        // - Call drawImage(). This is easy and fast, and results in smooth
-        //   interpolation (bilinear?). This is what we want when we are
-        //   reducing the image from its native size.
-        // - Call drawImage() with imageSmoothingEnabled=false. This is easy
-        //   and fast and gives us nearest-neighbor interpolation, which is what
-        //   we want when enlarging the image. However, it's unsupported on many
-        //   browsers (including QtWebkit).
-        // - Do a manual nearest-neighbor interpolation. This is what we'll fall
-        //   back to when enlarging, and imageSmoothingEnabled isn't supported.
-        //   In theory it's slower, but still pretty fast on my machine, and the
-        //   results look the same AFAICT.
-        // Is imageSmoothingEnabled supported? If so, we can let canvas do
-        // nearest-neighbor interpolation for us.
-
-        var smoothingProperty = getCanvasSmoothingProperty(ctx);
-
-        if (smoothingProperty || imgRes.x >= 256 && imgRes.y >= 256) {
-          // Use built-in scaling
-          // Turn off anti-aliasing if necessary
-          if (smoothingProperty) {
-            ctx[smoothingProperty] = imgRes.x >= 256 && imgRes.y >= 256;
-          } // Don't necessarily draw with the full-size image; if we're
-          // downscaling, use the mipmapper to get a pre-downscaled image
-          // (see comments on Mipmapper class for why this matters).
-
-
-          mipmapper.getBySize(extent.x * 256, extent.y * 256, function (mip) {
-            // It's possible that the image will go off the edge of the canvas--
-            // that's OK, the canvas should clip appropriately.
-            ctx.drawImage(mip, // Convert abs tile coords to rel tile coords, then *256 to convert
-            // to rel pixel coords
-            (topLeft.x - tilePoint.x) * 256, (topLeft.y - tilePoint.y) * 256, // Always draw the whole thing and let canvas clip; so we can just
-            // convert from size in tile coords straight to pixels
-            extent.x * 256, extent.y * 256);
-          });
-        } else {
-          // Use manual nearest-neighbor interpolation
-          // Calculate the source image pixel coordinates that correspond with
-          // the top-left and bottom-right of this tile. (If the source image
-          // only partially overlaps the tile, we use max/min to limit the
-          // sourceStart/End to only reflect the overlapping portion.)
-          var sourceStart = {
-            x: Math.max(0, Math.floor((tilePoint.x - topLeft.x) * imgRes.x)),
-            y: Math.max(0, Math.floor((tilePoint.y - topLeft.y) * imgRes.y))
-          };
-          var sourceEnd = {
-            x: Math.min(w, Math.ceil((tilePoint.x + 1 - topLeft.x) * imgRes.x)),
-            y: Math.min(h, Math.ceil((tilePoint.y + 1 - topLeft.y) * imgRes.y))
-          }; // The size, in dest pixels, that each source pixel should occupy.
-          // This might be greater or less than 1 (e.g. if x and y resolution
-          // are very different).
-
-          var pixelSize = {
-            x: 256 / imgRes.x,
-            y: 256 / imgRes.y
-          }; // For each pixel in the source image that overlaps the tile...
-
-          for (var row = sourceStart.y; row < sourceEnd.y; row++) {
-            for (var col = sourceStart.x; col < sourceEnd.x; col++) {
-              // ...extract the pixel data...
-              var i = (row * w + col) * 4;
-              var r = imgData[i];
-              var g = imgData[i + 1];
-              var b = imgData[i + 2];
-              var a = imgData[i + 3];
-              ctx.fillStyle = "rgba(" + [r, g, b, a / 255].join(",") + ")"; // ...calculate the corresponding pixel coord in the dest image
-              // where it should be drawn...
-
-              var pixelPos = {
-                x: (col / imgRes.x + topLeft.x - tilePoint.x) * 256,
-                y: (row / imgRes.y + topLeft.y - tilePoint.y) * 256
-              }; // ...and draw a rectangle there.
-
-              ctx.fillRect(Math.round(pixelPos.x), Math.round(pixelPos.y), // Looks crazy, but this is necessary to prevent rounding from
-              // causing overlap between this rect and its neighbors. The
-              // minuend is the location of the next pixel, while the
-              // subtrahend is the position of the current pixel (to turn an
-              // absolute coordinate to a width/height). Yes, I had to look
-              // up minuend and subtrahend.
-              Math.round(pixelPos.x + pixelSize.x) - Math.round(pixelPos.x), Math.round(pixelPos.y + pixelSize.y) - Math.round(pixelPos.y));
-            }
-          }
-        }
-      } catch (e) {
-        error = e;
-      } finally {
-        done(error, canvas);
-      }
-    });
-    return canvas;
-  };
-
-  this.layerManager.addLayer(canvasTiles, "image", layerId, group);
-};
-
-methods.removeImage = function (layerId) {
-  this.layerManager.removeLayer("image", layerId);
-};
-
-methods.clearImages = function () {
-  this.layerManager.clearLayers("image");
-};
-
-methods.addMeasure = function (options) {
-  // if a measureControl already exists, then remove it and
-  //   replace with a new one
-  methods.removeMeasure.call(this);
-  this.measureControl = _leaflet2["default"].control.measure(options);
-  this.addControl(this.measureControl);
-};
-
-methods.removeMeasure = function () {
-  if (this.measureControl) {
-    this.removeControl(this.measureControl);
-    this.measureControl = null;
-  }
-};
-
-methods.addSelect = function (ctGroup) {
-  var _this8 = this;
-
-  methods.removeSelect.call(this);
-  this._selectButton = _leaflet2["default"].easyButton({
-    states: [{
-      stateName: "select-inactive",
-      icon: "ion-qr-scanner",
-      title: "Make a selection",
-      onClick: function onClick(btn, map) {
-        btn.state("select-active");
-        _this8._locationFilter = new _leaflet2["default"].LocationFilter2();
-
-        if (ctGroup) {
-          var selectionHandle = new global.crosstalk.SelectionHandle(ctGroup);
-          selectionHandle.on("change", function (e) {
-            if (e.sender !== selectionHandle) {
-              if (_this8._locationFilter) {
-                _this8._locationFilter.disable();
-
-                btn.state("select-inactive");
-              }
-            }
-          });
-
-          var handler = function handler(e) {
-            _this8.layerManager.brush(_this8._locationFilter.getBounds(), {
-              sender: selectionHandle
-            });
-          };
-
-          _this8._locationFilter.on("enabled", handler);
-
-          _this8._locationFilter.on("change", handler);
-
-          _this8._locationFilter.on("disabled", function () {
-            selectionHandle.close();
-            _this8._locationFilter = null;
-          });
-        }
-
-        _this8._locationFilter.addTo(map);
-      }
-    }, {
-      stateName: "select-active",
-      icon: "ion-close-round",
-      title: "Dismiss selection",
-      onClick: function onClick(btn, map) {
-        btn.state("select-inactive");
-
-        _this8._locationFilter.disable(); // If explicitly dismissed, clear the crosstalk selections
-
-
-        _this8.layerManager.unbrush();
-      }
-    }]
-  });
-
-  this._selectButton.addTo(this);
-};
-
-methods.removeSelect = function () {
-  if (this._locationFilter) {
-    this._locationFilter.disable();
-  }
-
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-
-
-
-
-<h1 class="title toc-ignore">rExpertQuery Cybertown Training</h1>
-<h4 class="author">ATTAINS Team</h4>
-<h4 class="date">2025-05-28</h4>
-
-
-<div id="TOC">
-<ul>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#about-expert-query-and-rexpertquery" id="toc-about-expert-query-and-rexpertquery">About Expert Query and
-rExpertQuery</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#installation" id="toc-installation">Installation</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#api-key" id="toc-api-key">API Key</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#rexpert-query-functions" id="toc-rexpert-query-functions">rExpert Query Functions</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#demo-structure" id="toc-demo-structure">Demo
-Structure</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_nationalextract" id="toc-eq_nationalextract">EQ_NationalExtract</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_assessments" id="toc-eq_assessments">EQ_Assessments</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_assessmentunits" id="toc-eq_assessmentunits">EQ_AssessmentUnits</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_tmdls" id="toc-eq_tmdls">EQ_TMDLs</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_actions" id="toc-eq_actions">EQ_Actions</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_actionsdocuments" id="toc-eq_actionsdocuments">EQ_ActionsDocuments</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_ausmls" id="toc-eq_ausmls">EQ_AUsMLs</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_sources" id="toc-eq_sources">EQ_Sources</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_catchcorr" id="toc-eq_catchcorr">EQ_CatchCorr</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#eq_domainvalues" id="toc-eq_domainvalues">EQ_DomainValues</a></li>
-<li><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#questions" id="toc-questions">Questions?</a></li>
-</ul>
-</div>
-
-<div id="about-expert-query-and-rexpertquery" class="section level2">
-<h2>About Expert Query and rExpertQuery</h2>
-<p><a href="https://owapps.epa.gov/expertquery/attains/tmdl">Expert
-Query</a> empowers users to access surface water quality data from the
-<a href="https://www.epa.gov/waterdata/upload-data-resources-registered-attains-usershttps://www.epa.gov/waterdata/upload-data-resources-registered-attains-users">Assessment
-and TMDL Tracking and Implementation System (ATTAINS)</a> encompassing
-Assessment decisions (under Clean Water Act Sections 303(d), 305(b), and
-106) and Action data like Total Maximum Daily Loads (TMDLs), Advance
-Restoration Plans (ARPs), and Protection Approaches.</p>
-<p>The tool supports querying and downloading data within and across
-organizations (states or tribes), such as querying all the data within
-an EPA region or all nutrient TMDLs nationally. It also allows users to
-download national ATTAINS data extracts.</p>
-<p>rExpertQuery takes this a step further as its functions facilitate
-querying the Expert Query web services and importing the resulting data
-sets directly in to R for more detailed review and analysis.</p>
-<p>It is crucial to be aware of certain complexities inherent in the
-data and querying process. Users are cautioned against direct
-comparisons between states due to differences in water quality standards
-and assessment methodologies.</p>
-<p>While Expert Query facilitates data querying, it lacks built-in
-summary capabilities. Users are encouraged to download and summarize
-data, but use caution when relying on row counts, as duplicate entries
-may occur. This complexity arises from multiple tables that have
-many-to-many relationships. Several examples of summarizing Expert Query
-data are included in this vignette. These examples use additional
-packages for data wrangling, mapping, visualizing and other tasks.
-Future rExpertQuery vignettes and functions may provide additional
-examples of how to summarize Expert Query data.</p>
-</div>
-<div id="installation" class="section level2">
-<h2>Installation</h2>
-<p>You must first have R and R Studio installed to use the rExpert Query
-(see instructions below if needed). rExpert Query is in active
-development, therefore we highly recommend that you update it and all of
-its dependency libraries each time you use the package.</p>
-<p>You can install and/or update the <a href="https://github.com/USEPA/rExpertQuery">rExpertQuery Package</a>
-and all dependencies by running:</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-1" tabindex="-1"></a><span class="co"># install and load rExpertQuery</span></span>
-<span id="cb1-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-2" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="st">"remotes"</span> <span class="sc">%in%</span> <span class="fu">installed.packages</span>()) {</span>
-<span id="cb1-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-3" tabindex="-1"></a>  <span class="fu">install.packages</span>(<span class="st">"remotes"</span>)</span>
-<span id="cb1-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-4" tabindex="-1"></a>}</span>
-<span id="cb1-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-5" tabindex="-1"></a></span>
-<span id="cb1-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb1-6" tabindex="-1"></a>remotes<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">"USEPA/rExpertQuery"</span>, <span class="at">ref =</span> <span class="st">"training"</span>, <span class="at">dependencies =</span> <span class="cn">TRUE</span>, <span class="at">force =</span> <span class="cn">TRUE</span>)</span></code></pre></div>
-<pre><code>## Using GitHub PAT from the git credential store.</code></pre>
-<pre><code>## Downloading GitHub repo USEPA/rExpertQuery@training</code></pre>
-<pre><code>## Error in utils::download.file(url, path, method = method, quiet = quiet,  : 
-##   download from 'https://api.github.com/repos/USEPA/rExpertQuery/tarball/training' failed</code></pre>
-<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb5-1" tabindex="-1"></a><span class="fu">library</span>(rExpertQuery)</span></code></pre></div>
-<p>This vignette also requires additional packages which can be
-installed using the code chunk below:</p>
-<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-1" tabindex="-1"></a><span class="co"># # list of additional required packages</span></span>
-<span id="cb6-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-2" tabindex="-1"></a><span class="co">#  demo.pkgs &lt;- c("datasets", "data.table", "dplyr", "DT", "ggplot2", "httr", "leaflet", "maps", "plotly", "sf", "usdata", "usmap", "stringi")</span></span>
-<span id="cb6-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-3" tabindex="-1"></a><span class="co"># </span></span>
-<span id="cb6-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-4" tabindex="-1"></a><span class="co"># # install additional packages not yet installed</span></span>
-<span id="cb6-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-5" tabindex="-1"></a><span class="co">#  installed_packages &lt;- demo.pkgs %in% rownames(installed.packages())</span></span>
-<span id="cb6-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-6" tabindex="-1"></a><span class="co">#  </span></span>
-<span id="cb6-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-7" tabindex="-1"></a><span class="co"># if (any(installed_packages == FALSE)) {</span></span>
-<span id="cb6-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-8" tabindex="-1"></a><span class="co">#    install.packages(demo.pkgs[!installed_packages])</span></span>
-<span id="cb6-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-9" tabindex="-1"></a><span class="co">#  }</span></span>
-<span id="cb6-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-10" tabindex="-1"></a></span>
-<span id="cb6-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-11" tabindex="-1"></a><span class="co"># load additional packages for this vignette</span></span>
-<span id="cb6-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-12" tabindex="-1"></a><span class="fu">library</span>(datasets)</span>
-<span id="cb6-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-13" tabindex="-1"></a><span class="fu">library</span>(data.table)</span>
-<span id="cb6-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-14" tabindex="-1"></a><span class="fu">library</span>(dplyr)</span>
-<span id="cb6-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-15" tabindex="-1"></a><span class="fu">library</span>(DT)</span>
-<span id="cb6-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb6-16" tabindex="-1"></a><span class="fu">library</span>(ggplot2)</span></code></pre></div>
-<pre><code>## Warning: package 'ggplot2' was built under R version 4.4.3</code></pre>
-<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb8-1" tabindex="-1"></a><span class="fu">library</span>(httr)</span>
-<span id="cb8-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb8-2" tabindex="-1"></a><span class="fu">library</span>(leaflet)</span>
-<span id="cb8-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb8-3" tabindex="-1"></a><span class="fu">library</span>(maps)</span></code></pre></div>
-<pre><code>## Warning: package 'maps' was built under R version 4.4.3</code></pre>
-<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb10-1" tabindex="-1"></a><span class="fu">library</span>(plotly)</span>
-<span id="cb10-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb10-2" tabindex="-1"></a><span class="fu">library</span>(sf)</span></code></pre></div>
-<pre><code>## Warning: package 'sf' was built under R version 4.4.3</code></pre>
-<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb12-1" tabindex="-1"></a><span class="fu">library</span>(usdata)</span></code></pre></div>
-<pre><code>## Warning: package 'usdata' was built under R version 4.4.3</code></pre>
-<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb14-1" tabindex="-1"></a><span class="fu">library</span>(usmap)</span></code></pre></div>
-<pre><code>## Warning: package 'usmap' was built under R version 4.4.3</code></pre>
-<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb16-1" tabindex="-1"></a><span class="fu">library</span>(stringi)</span></code></pre></div>
-<pre><code>## Warning: package 'stringi' was built under R version 4.4.3</code></pre>
-<p>As a final setup step, we will turn off scientific notation so that
-any catchment id numbers from our queries are displayed correctly.</p>
-<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb18-1" tabindex="-1"></a><span class="co"># turn off scientific notation (for catchment ids)</span></span>
-<span id="cb18-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb18-2" tabindex="-1"></a><span class="fu">options</span>(<span class="at">scipen =</span> <span class="dv">999</span>)</span></code></pre></div>
-</div>
-<div id="api-key" class="section level2">
-<h2>API Key</h2>
-<p>Most of the rExpertQuery functions require an API key. Users can
-obtain their own by using Expert Query’s <a href="https://owapps.epa.gov/expertquery/api-key-signup" class="uri">API
-Key Signup Form</a>.</p>
-<p><img role="img" 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" style="width:6.5in"></p>
-<p>To run this vignette, we can use the following test key. Users should
-obtain their own API key if they will be using rExpertQuery to develop
-their own workflows.</p>
-<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb19-1" tabindex="-1"></a><span class="co"># load test api  key</span></span>
-<span id="cb19-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb19-2" tabindex="-1"></a>testkey <span class="ot">&lt;-</span> <span class="st">"53BVce47MQ3KXKibjx35g4ojaDQGh8qWfbdO8cE0"</span></span></code></pre></div>
-</div>
-<div id="rexpert-query-functions" class="section level2">
-<h2>rExpert Query Functions</h2>
-<p>There are ten exported functions in rExpertQuery. The first eight
-allow users to query ATTAINS data via <a href="https://owapps.epa.gov/expertquery/api-documentation">Expert Query
-web services</a>. These are:</p>
-<ol style="list-style-type: decimal">
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_Actions.html">EQ_Actions()</a>
-- queries and returns ATTAINS actions data</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_ActionsDocuments.html">EQ_ActionsDocuments()</a>
-- queries and returns ATTAINS Actions Documents, including a keyword
-search</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_Assessments.html">EQ_Assessments()</a>
-- queries and returns ATTAINS Assessments (default is for latest
-cycle)</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_AssessmentUnits.html">EQ_AssessmentUnits()</a>
-- queries and returns ATTAINS Assessment Units (default is for Active
-AUs)</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_AUsMLs.html">EQ_AUsMLs()</a>
-- queries and returns ATTAINS Assessment Units with Monitoring Location
-data</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_CatchCorr.html">EQ_CatchCorr()</a>
-- queries and returns ATTAINS Catchment Correspondence data (memory
-intensive)</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_Sources.html">EQ_Sources()</a>
-- queries and returns ATTAINS Sources data</li>
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_TMDLs.html">EQ_TMDLs()</a>
-- queries and returns ATTAINS TMDL data</li>
-</ol>
-<p>These first eight functions are analogous to the data profiles that
-can be queries through the <a href="https://owapps.epa.gov/expertquery/attains/">Expert Query User
-Interface</a>.</p>
-<p><img role="img" src="data:image/png;base64,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" style="width:6.5in"></p>
-<p>An additional function allows users to download the <a href="https://owapps.epa.gov/expertquery/national-downloads" class="uri">Expert Query National Extracts</a> of ATTAINS data which are
-updated weekly. This function should be used when national data are
-desired or when a query designed in one of the previous eight functions
-would exceed the Expert Query web services limit of one millions rows.
-This function is:</p>
-<ol start="9" style="list-style-type: decimal">
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_NationalExtract.html">EQ_NationalExtract()</a>
-- returns national extract for Actions, Assessments, Assessment Units,
-Assessment Units with Monitoring Locations, Catchment Correspondence,
-Sources, or TMDLS based on user selection</li>
-</ol>
-<p>The tenth function relies on <a href="https://www.epa.gov/waterdata/how-access-and-use-attains-web-services">ATTAINS
-web services</a> to provide allowable domain values for some
-rExpertQuery parameters:</p>
-<ol start="10" style="list-style-type: decimal">
-<li><a href="https://usepa.github.io/rExpertQuery/reference/EQ_DomainValues.html">EQ_DomainValues()</a>
-- returns domain values for some rExpertQuery function params</li>
-</ol>
-</div>
-<div id="demo-structure" class="section level2">
-<h2>Demo Structure</h2>
-<p>In this session, we will use rExpertQuery functions, along with some
-common R packages for data wrangling and visualization to answer some
-commonly asked questions with Expert Query data. Members of the ATTAINS
-team will be monitoring the chat for questions. If there are many
-questions regarding a particular function, we may pause at the end of
-that function’s material to review. Otherwise, questions are welcome at
-the end of the demo as time permits or via e-mailing the ATTAINS team at
-attains@epa.gov.</p>
-</div>
-<div id="eq_nationalextract" class="section level2">
-<h2>EQ_NationalExtract</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_NationalExtract.html"><strong>EQ_NationalExtract()</strong></a>provides
-an efficient method for importing the <a href="https://owapps.epa.gov/expertquery/national-downloads">Expert
-Query National Extracts</a>. This function requires one argument,
-“extract” to specify which of the National Extracts to download. The
-following examples show how to download the TMDL and Actions extracts.
-The extracts are all large files and some may not open in R if there is
-not enough memory available.</p>
-<p><img role="img" 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" style="width:6.5in"></p>
-<ol style="list-style-type: decimal">
-<li><p><strong>What is the most commonly reported impairment
-nationally?</strong></p>
-<p>After downloading the national assessments data, we’ll need to filter
-to include only the latest cycle. Next, we can filter for rows
-containing parameter causes, and summarize how many times each parameter
-was listed as a cause of impairment. The additional packages used to
-answer this question are <a href="https://dplyr.tidyverse.org/">dplyr</a> (data manipulation) and <a href="https://rstudio.github.io/DT/">DT</a> (interface to DataTables
-library).</p>
-<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb20-1" tabindex="-1"></a><span class="co"># import natioanl assessments profile</span></span>
-<span id="cb20-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb20-2" tabindex="-1"></a>assessments.nat <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_NationalExtract</span>(<span class="st">"assessments"</span>)</span></code></pre></div>
-<pre><code>## [1] "EQ_NationalExtract: downloading Assessments Profile (Expert Query National Extract). It was last updated on May 23, 2025 at 10:00 PM EDT."
-## [1] "EQ_NationalExtract: unzipping Assessments Profile (Expert Query National Extract)."
-## [1] "EQ_NationalExtract: opening Assessments Profile (Expert Query National Extract)."</code></pre>
-<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-1" tabindex="-1"></a><span class="co"># filter for latest assessments</span></span>
-<span id="cb22-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-2" tabindex="-1"></a>assessments.nat <span class="ot">&lt;-</span> assessments.nat <span class="sc">%&gt;%</span></span>
-<span id="cb22-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-3" tabindex="-1"></a>   dplyr<span class="sc">::</span><span class="fu">group_by</span>(organizationId) <span class="sc">%&gt;%</span></span>
-<span id="cb22-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-4" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">slice_max</span>(reportingCycle) <span class="sc">%&gt;%</span></span>
-<span id="cb22-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-5" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>objectId) <span class="sc">%&gt;%</span></span>
-<span id="cb22-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-6" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb22-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-7" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">ungroup</span>()</span>
-<span id="cb22-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-8" tabindex="-1"></a></span>
-<span id="cb22-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-9" tabindex="-1"></a><span class="co"># count impairments</span></span>
-<span id="cb22-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-10" tabindex="-1"></a>count.impair <span class="ot">&lt;-</span> assessments.nat <span class="sc">%&gt;%</span></span>
-<span id="cb22-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-11" tabindex="-1"></a>  <span class="co"># filter to retain only parameter causes</span></span>
-<span id="cb22-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-12" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(parameterStatus <span class="sc">==</span> <span class="st">"Cause"</span>) <span class="sc">%&gt;%</span></span>
-<span id="cb22-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-13" tabindex="-1"></a>  <span class="co"># subset data to find unique combinations</span></span>
-<span id="cb22-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-14" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, assessmentUnitId, parameterName) <span class="sc">%&gt;%</span></span>
-<span id="cb22-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-15" tabindex="-1"></a>  <span class="co"># remove duplicates</span></span>
-<span id="cb22-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb22-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-17" tabindex="-1"></a>  <span class="co"># group by parameterName</span></span>
-<span id="cb22-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-18" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(parameterName) <span class="sc">%&gt;%</span></span>
-<span id="cb22-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-19" tabindex="-1"></a>  <span class="co"># count listings for each parameterName</span></span>
-<span id="cb22-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-20" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarise</span>(<span class="at">count =</span> <span class="fu">length</span>(assessmentUnitId)) <span class="sc">%&gt;%</span></span>
-<span id="cb22-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-21" tabindex="-1"></a>  <span class="co"># arrane in descending order</span></span>
-<span id="cb22-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-22" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">arrange</span>(<span class="fu">desc</span>(count))</span>
-<span id="cb22-23"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-23" tabindex="-1"></a></span>
-<span id="cb22-24"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-24" tabindex="-1"></a><span class="co"># create data table of impairment count results</span></span>
-<span id="cb22-25"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb22-25" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(count.impair, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">10</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-2f2f1be9dd3889e16c04" style="width:100%;height:auto;"><div id="DataTables_Table_0_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_0_length"><label>Show <select name="DataTables_Table_0_length" aria-controls="DataTables_Table_0" class=""><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_0_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_0"></label></div><div class="dataTables_scroll"><div class="dataTables_scrollHead" style="overflow: hidden; position: relative; border: 0px; width: 100%;"><div class="dataTables_scrollHeadInner" style="box-sizing: content-box; width: 660px; padding-right: 0px;"><table class="display dataTable no-footer" style="margin-left: 0px; width: 660px;"><thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="width: 34.7969px;"> </th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_0" rowspan="1" colspan="1" aria-label="parameterName: activate to sort column ascending" style="width: 455.016px;">parameterName</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_0" rowspan="1" colspan="1" aria-label="count: activate to sort column ascending" style="width: 78.1875px;">count</th></tr>
-  </thead></table></div></div><div class="dataTables_scrollBody" style="position: relative; overflow: auto; width: 100%;"><table class="display dataTable no-footer" id="DataTables_Table_0" aria-describedby="DataTables_Table_0_info"><thead>
-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 34.7969px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="sorting" aria-controls="DataTables_Table_0" rowspan="1" colspan="1" aria-label="parameterName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 455.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterName</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_0" rowspan="1" colspan="1" aria-label="count: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 78.1875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">count</div></th></tr>
-  </thead>
-  <tbody><tr class="odd"><td>1</td><td>PATHOGENS</td><td class="  dt-right">27323</td></tr><tr class="even"><td>2</td><td>SILTATION</td><td class="  dt-right">26599</td></tr><tr class="odd"><td>3</td><td>ESCHERICHIA COLI (E. COLI)</td><td class="  dt-right">22149</td></tr><tr class="even"><td>4</td><td>PH</td><td class="  dt-right">11197</td></tr><tr class="odd"><td>5</td><td>METALS</td><td class="  dt-right">11124</td></tr><tr class="even"><td>6</td><td>MERCURY</td><td class="  dt-right">10019</td></tr><tr class="odd"><td>7</td><td>FLOW REGIME MODIFICATION</td><td class="  dt-right">9356</td></tr><tr class="even"><td>8</td><td>FECAL COLIFORM</td><td class="  dt-right">9149</td></tr><tr class="odd"><td>9</td><td>MERCURY - FISH CONSUMPTION ADVISORY</td><td class="  dt-right">9123</td></tr><tr class="even"><td>10</td><td>DISSOLVED OXYGEN</td><td class="  dt-right">8174</td></tr></tbody>
-</table></div></div><div class="dataTables_info" id="DataTables_Table_0_info" role="status" aria-live="polite">Showing 1 to 10 of 457 entries</div><div class="dataTables_paginate paging_simple_numbers" id="DataTables_Table_0_paginate"><a class="paginate_button previous disabled" aria-controls="DataTables_Table_0" aria-disabled="true" role="link" data-dt-idx="previous" tabindex="-1" id="DataTables_Table_0_previous">Previous</a><span><a class="paginate_button current" aria-controls="DataTables_Table_0" role="link" aria-current="page" data-dt-idx="0" tabindex="0">1</a><a class="paginate_button " aria-controls="DataTables_Table_0" role="link" data-dt-idx="1" tabindex="0">2</a><a class="paginate_button " aria-controls="DataTables_Table_0" role="link" data-dt-idx="2" tabindex="0">3</a><a class="paginate_button " aria-controls="DataTables_Table_0" role="link" data-dt-idx="3" tabindex="0">4</a><a class="paginate_button " aria-controls="DataTables_Table_0" role="link" data-dt-idx="4" tabindex="0">5</a><span class="ellipsis">…</span><a class="paginate_button " aria-controls="DataTables_Table_0" role="link" data-dt-idx="45" tabindex="0">46</a></span><a class="paginate_button next" aria-controls="DataTables_Table_0" role="link" data-dt-idx="next" tabindex="0" id="DataTables_Table_0_next">Next</a></div></div></div>
-<script type="application/json" data-for="htmlwidget-2f2f1be9dd3889e16c04">{"x":{"filter":"none","vertical":false,"data":[["1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30","31","32","33","34","35","36","37","38","39","40","41","42","43","44","45","46","47","48","49","50","51","52","53","54","55","56","57","58","59","60","61","62","63","64","65","66","67","68","69","70","71","72","73","74","75","76","77","78","79","80","81","82","83","84","85","86","87","88","89","90","91","92","93","94","95","96","97","98","99","100","101","102","103","104","105","106","107","108","109","110","111","112","113","114","115","116","117","118","119","120","121","122","123","124","125","126","127","128","129","130","131","132","133","134","135","136","137","138","139","140","141","142","143","144","145","146","147","148","149","150","151","152","153","154","155","156","157","158","159","160","161","162","163","164","165","166","167","168","169","170","171","172","173","174","175","176","177","178","179","180","181","182","183","184","185","186","187","188","189","190","191","192","193","194","195","196","197","198","199","200","201","202","203","204","205","206","207","208","209","210","211","212","213","214","215","216","217","218","219","220","221","222","223","224","225","226","227","228","229","230","231","232","233","234","235","236","237","238","239","240","241","242","243","244","245","246","247","248","249","250","251","252","253","254","255","256","257","258","259","260","261","262","263","264","265","266","267","268","269","270","271","272","273","274","275","276","277","278","279","280","281","282","283","284","285","286","287","288","289","290","291","292","293","294","295","296","297","298","299","300","301","302","303","304","305","306","307","308","309","310","311","312","313","314","315","316","317","318","319","320","321","322","323","324","325","326","327","328","329","330","331","332","333","334","335","336","337","338","339","340","341","342","343","344","345","346","347","348","349","350","351","352","353","354","355","356","357","358","359","360","361","362","363","364","365","366","367","368","369","370","371","372","373","374","375","376","377","378","379","380","381","382","383","384","385","386","387","388","389","390","391","392","393","394","395","396","397","398","399","400","401","402","403","404","405","406","407","408","409","410","411","412","413","414","415","416","417","418","419","420","421","422","423","424","425","426","427","428","429","430","431","432","433","434","435","436","437","438","439","440","441","442","443","444","445","446","447","448","449","450","451","452","453","454","455","456","457"],["PATHOGENS","SILTATION","ESCHERICHIA COLI (E. COLI)","PH","METALS","MERCURY","FLOW REGIME MODIFICATION","FECAL COLIFORM","MERCURY - FISH CONSUMPTION ADVISORY","DISSOLVED OXYGEN","NUTRIENTS","CAUSE UNKNOWN","TEMPERATURE","HABITAT ALTERATIONS","BENTHIC MACROINVERTEBRATES BIOASSESSMENTS","POLYCHLORINATED BIPHENYLS (PCBS)","MERCURY IN FISH TISSUE","IRON","PHOSPHORUS, TOTAL","PCBS IN FISH TISSUE","SEDIMENTATION/SILTATION","ORGANIC ENRICHMENT","TURBIDITY","TOTAL SUSPENDED SOLIDS (TSS)","BIOLOGICAL INTEGRITY","ENTEROCOCCUS","FISH BIOASSESSMENTS","PERFLUOROOCTANE SULFONATE (PFOS)","CHLOROPHYLL-A","AQUATIC PLANTS (MACROPHYTES)","NITROGEN, TOTAL","ALTERATION IN STREAM-SIDE OR LITTORAL VEGETATIVE COVERS","ARSENIC","TOTAL DISSOLVED SOLIDS (TDS)","PHYSICAL SUBSTRATE HABITAT ALTERATIONS","SULFATE","SELENIUM","CHLORIDE","COPPER","EUTROPHICATION","NUTRIENT/EUTROPHICATION BIOLOGICAL INDICATORS","LEAD","ALGAE","ALUMINUM","HABITAT ASSESSMENT","NON-NATIVE AQUATIC PLANTS","PH, HIGH","MERCURY IN WATER COLUMN","PHOSPHORUS","PERFLUOROOCTANE SULFONATE (PFOS) IN FISH TISSUE","NITRATE/NITRITE (NITRITE + NITRATE AS N)","PH, LOW","MANGANESE","BENTHIC MACROINVERTEBRATES","ZINC","ESTUARINE BIOASSESSMENTS","CADMIUM","DEWATERING","ALUMINUM, DISSOLVED","TOXICITY","DIOXIN (INCLUDING 2,3,7,8-TCDD)","SPECIFIC CONDUCTIVITY","INDEX OF BIOLOGICAL INTEGRITY (IBI)","COMBINED BIOTA/HABITAT BIOASSESSMENTS","DIELDRIN","SEDIMENT","PCBS - FISH CONSUMPTION ADVISORY","ATRAZINE","NITROGEN","DDT IN FISH TISSUE","NATURAL LIMITS","DIOXIN - FISH CONSUMPTION ADVISORY","BIOCHEMICAL OXYGEN DEMAND (BOD)","DISSOLVED OXYGEN SATURATION","FISH PASSAGE BARRIER","MERCURY IN SEDIMENT","ALKALINITY","THERMAL MODIFICATIONS","DDT (DICHLORODIPHENYLTRICHLOROETHANE)","AMMONIA","CHLORDANE","ZINC IN SEDIMENT","PCBS IN SEDIMENT","OTHER ANTHROPOGENIC SUBSTRATE ALTERATIONS","DIOXIN","HARMFUL ALGAL BLOOMS","HIGH MOLECULAR WEIGHT POLYCYCLIC AROMATIC HYDROCARBONS (HMW PAHS) IN SEDIMENT","LOW MOLECULAR WEIGHT POLYCYCLIC AROMATIC HYDROCARBONS (LMW PAHS) IN SEDIMENT","EURASIAN WATER MILFOIL, MYRIOPHYLLUM SPICATUM","FANWORT","OIL AND GREASE","ALDRIN","TOXAPHENE","NON-NATIVE FISH/SHELLFISH/ZOOPLANKTON","CADMIUM IN SEDIMENT","METHYLMERCURY IN FISH TISSUE","MIREX","ORGANIC ENRICHMENT (SEWAGE) BIOLOGICAL INDICATORS","HEPTACHLOR","DIOXIN IN FISH TISSUE","LEAD IN SEDIMENT","SHELLFISHING BAN","ENDRIN","METHYLMERCURY","NITRATE","TRASH","SEDIMENT BIOASSAY","COPPER IN SEDIMENT","CURLY-LEAF PONDWEED","CHLORDANE IN FISH TISSUE","AMMONIA, UN-IONIZED","ARSENIC IN SEDIMENT","PHENOL IN SEDIMENT","TURBIDITY - BASE FLOWS","DIELDRIN IN FISH TISSUE","WATER CHESTNUT","CYANOBACTERIA HEPATOTOXIC MICROCYSTINS","LOSS OF INSTREAM COVER","AMMONIA-NITROGEN","DISSOLVED OXYGEN - CRITICAL","NICKEL","CHLORPYRIFOS","FLOW ALTERATION-CHANGES IN DEPTH AND FLOW VELOCITY","ALUMINUM, TOTAL","DDE IN FISH TISSUE","CHLOROPHYLL-A - AQUATIC LIFE USE SUPPORT","NITROGEN, AMMONIA","OSMOTIC PRESSURE","BERYLLIUM","TOTAL DISSOLVED GAS","PESTICIDES","CHROMIUM IN SEDIMENT","IRON TOTAL RECOVERABLE","SILVER IN SEDIMENT","PYRETHROIDS","ALPHA PARTICLES","BORON","TURBIDITY - STORM FLOWS","FISH KILL(S)","SILVER","BIS(2-ETHYLHEXYL) PHTHALATE IN SEDIMENT","4,4'-DDE","ARSENIC, INORGANIC","SALINITY","CONTAMINATED SEDIMENTS (FLUORANTHENE)","2,4-DIMETHYLPHENOL IN SEDIMENT","BENZO[A]PYRENE IN FISH TISSUE","BURIED STREAM","DIAZINON","CONTAMINATED SEDIMENTS (PHENANTHRENE)","FLUORIDE","MERCURY, TOTAL","PARTICLE DISTRIBUTION (EMBEDDEDNESS)","SALINITY/TOTAL DISSOLVED SOLIDS/CHLORIDES","CONTAMINATED SEDIMENTS (BENZO[A]ANTHRACENE)","CONTAMINATED SEDIMENTS (CHRYSENE)","BIFENTHRIN","CONTAMINATED SEDIMENTS (BENZO[A]PYRENE)","CONTAMINATED SEDIMENTS (PYRENE)","CHROMIUM, HEXAVALENT","CYANIDE","FLUORENE IN SEDIMENT","ACENAPHTHENE IN SEDIMENT","DEBRIS","DDT METABOLITES","AMMONIA, TOTAL","INDENO[1,2,3-CD]PYRENE IN SEDIMENT","POLYCYCLIC AROMATIC HYDROCARBONS (PAHS) (AQUATIC ECOSYSTEMS)","4-METHYLPHENOL IN SEDIMENT","BENZYL ALCOHOL IN SEDIMENT","DISSOLVED OXYGEN - PRIMARY","POLLUTANTS IN URBAN STORMWATER","SECCHI DISK TRANSPARENCY","BENZO[G,H,I]PERYLENE IN SEDIMENT","DIBENZOFURAN IN SEDIMENT","DIBENZ[A,H]ANTHRACENE IN SEDIMENT","ORGANICS","BENZOFLUORANTHENES TOTAL (B+K+J) IN SEDIMENT","PERIPHYTON (AUFWUCHS) INDICATOR BIOASSESSMENTS","THALLIUM","ODOR","ANTHRACENE IN SEDIMENT","NAPHTHALENE IN SEDIMENT","2-METHYLNAPHTHALENE IN SEDIMENT","DDE (DICHLORODIPHENYLDICHLOROETHYLENE)","DIMETHYL PHTHALATE IN SEDIMENT","N-NITROSODIPHENYLAMINE IN SEDIMENT","NITROGEN, NITRATE","PHOSPHATE","TRANSPARENCY / CLARITY","CYPERMETHRIN","THALLIUM IN FISH TISSUE","4,4'-DDT","BENZOIC ACID IN SEDIMENT","IRON, TOTAL","PETROLEUM HYDROCARBONS","FURAN COMPOUNDS","PENTACHLOROPHENOL (PCP) IN SEDIMENT","CHLORINE","HEPTACHLOR IN FISH TISSUE","TOTAL COLIFORM","1,4-DICHLOROBENZENE IN SEDIMENT","4,4'-DDD","BENZO[B]FLUORANTHENE IN FISH TISSUE","1,2-DICHLOROBENZENE IN SEDIMENT","BACTERIA (OYSTER WATERS)","BENZO[A]ANTHRACENE IN FISH TISSUE","BUTYL BENZYL PHTHALATE IN SEDIMENT","CHRYSENE IN FISH TISSUE","COLOR","COPPER, DISSOLVED","DDD IN FISH TISSUE","HEXACHLOROBENZENE","2,3,7,8-TETRACHLORODIBENZO-P-DIOXIN","DEBRIS/FLOATABLES/TRASH","LEAD, DISSOLVED - CHRONIC","TOXAPHENE IN FISH TISSUE","DISSOLVED OXYGEN SUPERSATURATION","HEPTACHLOR EPOXIDE","LIGHT ATTENUATION COEFFICIENT","BOTTOM DEPOSITS","LACK OF A COLDWATER ASSEMBLAGE","NOXIOUS AQUATIC PLANTS","1,2,4-TRICHLOROBENZENE IN SEDIMENT","EXCESS ALGAL GROWTH","FINE SEDIMENT","HEXACHLOROBENZENE IN SEDIMENT","DDD (DICHLORODIPHENYLDICHLOROETHANE)","MALATHION","SODIUM","CARBOFURAN","PFAS IN FISH TISSUE","CYFLUTHRIN","PERMETHRIN","TOTAL KJEHLDAHL NITROGEN (TKN)","ZEBRA MUSSEL, DREISSENA POLYMORPH","BENZO[K]FLUORANTHENE IN FISH TISSUE","BRITTLE NAIAD, NAJAS MINOR","ARSENIC IN FISH TISSUE","HEPTACHLOR EPOXIDE IN FISH TISSUE","SURFACTANTS","EUTROPHICATION, NUTRIENTS","FIPRONIL","AMBIENT BIOASSAYS - CHRONIC AQUATIC TOXICITY","BENZO[A]PYRENE (PAHS)","CHROMIUM, TOTAL","HEXACHLOROBENZENE IN FISH TISSUE","IMIDACLOPRID","BENZO[A]ANTHRACENE","DIBENZ[A,H]ANTHRACENE","TETRACHLOROETHYLENE","BENZO[B]FLUORANTHENE","INDENO[1,2,3-CD]PYRENE","INDENO[1,2,3-CD]PYRENE IN FISH TISSUE","MANGANESE, TOTAL","CHRYSENE","METHOXYCHLOR","SCUM/FOAM","ALPHA-BHC IN FISH TISSUE","BENZO[K]FLUORANTHENE","DISSOLVED GAS SUPERSATURATION","LAMBDA-CYHALOTHRIN","SELENIUM, TOTAL","ANTIMONY","AQUATIC PLANT BIOASSESSMENTS","RIPARIAN BUFFER, LACK OF","SEDIMENT TOXICITY","DIBENZ[A,H]ANTHRACENE IN FISH TISSUE","FLOCCULANT MASSES","HYDROGEN SULFIDE","LOW FLOW ALTERATIONS","OTHER","ARSENIC, INORGANIC IN FISH TISSUE","COARSE SEDIMENT","DELTAMETHRIN","ACENAPHTHYLENE IN SEDIMENT","FENPROPATHRIN","TRICHLOROETHYLENE (TCE)","URANIUM","ANTIMONY IN FISH TISSUE","BARIUM","CHROMIUM","CONTAMINATED SEDIMENTS (PAHS)","COPPER, DISSOLVED - CHRONIC","DIURON","HAZARD INDEX COMPOUNDS","POLYBROMINATED BIPHENYLS","STREAM MODIFICATION","TOTAL ORGANIC CARBON (TOC)","UNSPECIFIED METALS IN SEDIMENT","BENZO[A]PYRENE","FISH CONSUMPTION ADVISORY - DDE, DDT","OIL AND FLOATING SUBSTANCES","PHENOL","PYRENE","SELENIUM, DISSOLVED","SLUDGE","TASTE","TROPHIC STATE INDEX (TSI)","2-METHYLPHENOL IN SEDIMENT","ALDRIN IN FISH TISSUE","ASIAN CLAM","BETA-BHC IN FISH TISSUE","DIETHYL PHTHALATE IN SEDIMENT","DIMETHOATE","PHENANTHRENE","ZINC, DISSOLVED","BACTERIAL SLIMES","COPPER, DISSOLVED - ACUTE","CREOSOTE","OXYFLUORFEN","SEDIMENTATION","ZINC, DISSOLVED - ACUTE","ZINC, DISSOLVED - CHRONIC","ABNORMAL FISH DEFORMITIES, EROSIONS, LESIONS, TUMORS (DELTS)","ALPHA-BHC","CHEMICAL OXYGEN DEMAND (COD)","CHLORINATED PESTICIDES IN FISH TISSUE","DI-N-BUTYL PHTHALATE IN SEDIMENT","HYDRILLA","NITROGEN, NITRITE","OIL","OTHER ORGANICS","PENTACHLOROPHENOL (PCP)","POLYBROMINATED DIPHENYL ETHERS IN FISH TISSUE","RESIDUES","SIMAZINE","SWOLLEN BLADDERWORT","VINYL CHLORIDE","WASTEWATER","1,2-DICHLOROETHANE","ACENAPHTHYLENE","ANTHRACENE","ASBESTOS","BENZ[A]ANTHRACENE","BIOCHEMICAL OXYGEN DEMAND (BOD), CARBONACEOUS","BIS(2-ETHYLHEXYL) PHTHALATE IN FISH TISSUE","CHROMIUM, HEXAVALENT, TOTAL","COMBINATION BENTHIC/FISHES BIOASSESSMENTS","CONDUCTIVITY","DISULFOTON","ENDOSULFAN","ESFENVALERATE","ETHYLENE GLYCOL","EUROPEAN WATER CLOVER","FLUORANTHENE","LEAD, TOTAL","METHYL PARATHION","RADIUM","SEDIMENT SCREENING VALUE (EXCEEDANCE)","SELENIUM - ACUTE","SELENIUM - CHRONIC","SULFATE + CHLORIDE","TRANS-NONACHLOR","2-METHYLNAPHTHALENE","ACENAPHTHENE","AMMONIA-NITROGEN - CHRONIC EARLY LIFE STAGE","BENSULIDE","CADMIUM, DISSOLVED","CHROMIUM, HEXAVALENT IN FISH TISSUE","CYANIDE (AS FREE CYANIDE)","ENDOSULFAN SULFATE","ENDRIN ALDEHYDE","FLUORENE","GUTHION","LINDANE","METHOMYL","METOLACHLOR","NAPHTHALENE","NICKEL IN SEDIMENT","PROPYLENE GLYCOL","SELENIUM IN FISH TISSUE","SODIUM ABSORPTION RATIO","TOTAL SUSPENDED SEDIMENT","WHOLE EFFLUENT TOXICITY (WET)","1,1,2-TRICHLOROETHANE","ALGAL TOXINS","ALPHA-ENDOSULFAN (ENDOSULFAN 1)","AMMONIA-NITROGEN - CHRONIC NO EARLY LIFE STAGE","ARSENIC, TOTAL","BENZENE","BETA-BHC","BIOCHEMICAL OXYGEN DEMAND (BOD), NITROGENOUS","CADMIUM, TOTAL","CANCER RISK COMPOUNDS","CHLORINE, RESIDUAL (CHLORINE DEMAND)","CHRONIC TOXICITY","COPPER, TOTAL","CYANOBACTERIA NEUROTOXIC ANATOXINS","HEXACHLOROCYCLOHEXANE (HCH)","HYDROCARBONS - PRIORITY ORGANICS","MANGANESE, DISSOLVED","NITRITE","NOXIOUS AQUATIC PLANTS NATIVE","OIL SPILL - PAHS","PAH2 - 4 RING POLYCYCLIC AROMATIC HYDROCARBONS IN FISH TISSUE","STRONTIUM","TIDAL FLOW ALTERATION","WATER COLUMN BIOASSAY","1,1-DICHLOROETHANE","1,4-DIOXANE","2,4-DINITROPHENOL","4-METHYLPHENOL","6PPD-QUINONE","ACETOCHLOR","AMBIENT BIOASSAYS - ACUTE AQUATIC TOXICITY","AMMONIA-NITROGEN - ACUTE","BENZO[G,H,I]PERYLENE","BIOTOXINS","CADMIUM IN FISH TISSUE","CESIUM","CHLORDANE IN SEDIMENT","CHLOROFORM","CHLOROPHENOXY HERBICIDES (2,4-D)","CHROMIUM IN FISH TISSUE","CHROMIUM, TRIVALENT","COAL ASH","COAL TAR","COBALT","CONTAMINATED SEDIMENTS (HYDROCARBONS)","DACTHAL","DDT IN SEDIMENT","DEHP (DI-SEC-OCTYL PHTHALATE)","DIELDRIN IN SEDIMENT","DIESEL FUEL","ENDOSULFAN IN FISH TISSUE","ETHANOL","ETHYLBENZENE","FIPRONIL SULFONE","FLOATING DEBRIS","FLOW ALTERATION","FOAM/FLOCS/SCUM/OIL SLICKS","FURAN COMPOUNDS IN FISH TISSUE","GOLD","HEXACHLOROBUTADIENE","IRON, DISSOLVED","KJELDAHL NITROGEN","LEAD, DISSOLVED - ACUTE","LINURON","NICKEL, DISSOLVED","PARAQUAT","PARATHION","PERCHLORATE","PRIORITY ORGANICS","PROFENOFOS","PROMETRYN","SEDIMENT OXYGEN DEMAND","SODIUM ADSORPTION RATIO","SUSPENDED ALGAE","TERBUFOS","TOLUENE","TRIFLURALIN","VARIABLE-LEAVED WATERMILFOIL, MYRIOPHYLLUM HETEROPHYLLUM","VERTICAL EXTINCTION COEFFICIENT","WETLANDS DREDGED/FILLED","XYLENE","ZINC IN SHELLFISH"],[27323,26599,22149,11197,11124,10019,9356,9149,9123,8174,7920,7631,7591,7338,6666,6515,5662,5322,5093,5025,4038,3466,2745,2487,2217,2068,2020,1619,1475,1437,1429,1398,1380,1290,1025,958,951,934,934,878,877,867,751,746,722,716,671,620,571,564,553,524,517,510,502,421,418,408,403,390,386,382,377,330,321,320,318,305,302,279,263,253,243,238,233,231,224,213,210,206,206,201,196,188,185,184,180,179,176,173,173,171,171,168,165,165,165,157,154,149,147,145,141,141,138,138,134,132,132,130,129,127,126,126,118,117,116,115,113,110,108,101,100,99,93,91,85,85,84,84,83,80,80,78,77,76,76,75,73,72,70,68,68,67,66,64,63,61,61,60,59,58,58,58,57,57,56,56,56,55,55,55,54,54,52,51,51,51,50,50,50,50,50,49,48,48,48,47,47,46,44,43,43,41,40,40,40,40,40,40,39,39,38,38,36,36,35,35,34,34,34,33,33,33,32,32,32,32,32,32,32,32,32,31,31,31,31,29,29,29,28,28,28,27,27,27,27,26,26,26,25,25,24,24,24,24,23,23,22,21,21,20,20,19,18,18,18,18,17,17,17,16,16,16,16,15,15,15,14,14,14,14,14,13,13,13,13,12,12,12,12,12,11,11,11,10,10,10,10,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,8,8,8,8,8,7,7,7,7,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th> <\/th>\n      <th>parameterName<\/th>\n      <th>count<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"pageLength":10,"scrollX":true,"columnDefs":[{"className":"dt-right","targets":2},{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"parameterName","targets":1},{"name":"count","targets":2}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script></li>
-<li><p><strong>Which waters are impaired for SELENIUM nationally? Which
-states contain waters impaired for SELENIUM?</strong></p>
-<p>Again, we’ll use the national assessments data filtered to the latest
-cycle. Then we will filter for rows where the parameter is both selenium
-and listed as a cause. The additional packages used in this step are <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a>.</p>
-<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-1" tabindex="-1"></a><span class="co"># filter assessments data set for </span></span>
-<span id="cb23-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-2" tabindex="-1"></a>param.nat <span class="ot">&lt;-</span> assessments.nat <span class="sc">%&gt;%</span> </span>
-<span id="cb23-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-3" tabindex="-1"></a>  <span class="co"># filter for selenium and cause</span></span>
-<span id="cb23-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(parameterName <span class="sc">==</span> <span class="st">"SELENIUM"</span> <span class="sc">&amp;</span></span>
-<span id="cb23-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-5" tabindex="-1"></a>                  parameterStatus <span class="sc">==</span> <span class="st">"Cause"</span>)</span>
-<span id="cb23-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-6" tabindex="-1"></a></span>
-<span id="cb23-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-7" tabindex="-1"></a><span class="co"># data table of selenium impairments</span></span>
-<span id="cb23-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb23-8" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(param.nat, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">5</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
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tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="seasonStartDate: activate to sort column ascending" style="width: 110.5px;">seasonStartDate</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="seasonEndDate: activate to sort column ascending" style="width: 105.047px;">seasonEndDate</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionId: activate to sort column ascending" style="width: 128.375px;">associatedActionId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionName: activate to sort column ascending" style="width: 154.062px;">associatedActionName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionType: activate to sort column ascending" style="width: 147.562px;">associatedActionType</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionStatus: activate to sort column ascending" style="width: 158.719px;">associatedActionStatus</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionAgency: activate to sort column ascending" style="width: 166.5px;">associatedActionAgency</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="locationDescription: activate to sort column ascending" style="width: 130.688px;">locationDescription</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="sizeSource: activate to sort column ascending" style="width: 73.9375px;">sizeSource</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="sourceScale: activate to sort column ascending" style="width: 82.5px;">sourceScale</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="waterSize: activate to sort column ascending" style="width: 64.5938px;">waterSize</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="waterSizeUnits: activate to sort column ascending" style="width: 99.5938px;">waterSizeUnits</th></tr>
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-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 7.79688px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="region: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 42.7812px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">region</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="state: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 32.6875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">state</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="organizationType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 114.859px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationType</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 95.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationId</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 121.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="waterType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 68.2188px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">waterType</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="reportingCycle: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 98.8125px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">reportingCycle</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cycleLastAssessed: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 129.203px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cycleLastAssessed</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentUnitId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 119.828px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentUnitId</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentUnitName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 145.516px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentUnitName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentUnitStatus: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 150.172px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentUnitStatus</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="overallStatus: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 87.9375px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">overallStatus</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="epaIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 94.1562px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">epaIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="stateIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 102.703px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">stateIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useGroup: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 138.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useGroup</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 62.2656px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useClassName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 99.625px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useClassName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useSupport: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 77.7812px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useSupport</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 94.1562px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="useStateIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 128.391px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">useStateIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="monitoringStartDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 135.344px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">monitoringStartDate</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="monitoringEndDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 129.891px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">monitoringEndDate</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 110.516px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentDate</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentTypes: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 119.594px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentTypes</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentMethods: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 137.719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentMethods</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="assessmentBasis: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 117.531px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentBasis</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterGroup: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 109.703px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterGroup</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 105.844px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterStatus: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 110.5px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterStatus</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterAttainment: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 140.828px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterAttainment</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 137.734px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="parameterStateIrCategory: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 171.969px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameterStateIrCategory</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="delisted: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 52.9062px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">delisted</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="delistedReason: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 103.484px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">delistedReason</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="pollutantIndicator: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 118.219px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">pollutantIndicator</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cycleFirstListed: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 106.609px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cycleFirstListed</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="alternateListingIdentifier: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 163.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">alternateListingIdentifier</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="vision303dPriority: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 121.391px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">vision303dPriority</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cwa303dPriorityRanking: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 162.625px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cwa303dPriorityRanking</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cycleScheduledForTmdl: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 161.828px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cycleScheduledForTmdl</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cycleExpectedToAttain: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 153.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cycleExpectedToAttain</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="consentDecreeCycle: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 137.75px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">consentDecreeCycle</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="cycleId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 47.4844px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">cycleId</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="seasonStartDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 110.5px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">seasonStartDate</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="seasonEndDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 105.047px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">seasonEndDate</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 128.375px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">associatedActionId</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 154.062px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">associatedActionName</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 147.562px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">associatedActionType</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionStatus: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 158.719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">associatedActionStatus</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="associatedActionAgency: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 166.5px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">associatedActionAgency</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="locationDescription: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 130.688px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">locationDescription</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="sizeSource: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 73.9375px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">sizeSource</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="sourceScale: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 82.5px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">sourceScale</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="waterSize: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 64.5938px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">waterSize</div></th><th class="sorting" aria-controls="DataTables_Table_1" rowspan="1" colspan="1" aria-label="waterSizeUnits: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 99.5938px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">waterSizeUnits</div></th></tr>
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-  <tbody><tr class="odd"><td>1</td><td class="  dt-right">9</td><td>AZ</td><td>State</td><td>21ARIZ</td><td>Arizona</td><td>STREAM</td><td class="  dt-right">2024</td><td class="  dt-right">2022</td><td>AZ14070006-001_00</td><td>Colorado River, from GLEN CANYON DAM to LEES FERRY</td><td>A</td><td>Not Supporting</td><td>5</td><td></td><td>OTHER_USE</td><td>Agricultural Irrigation</td><td></td><td>F</td><td>2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>METALS (OTHER THAN MERCURY)</td><td>SELENIUM</td><td>Cause</td><td>Meeting criteria</td><td>5</td><td></td><td>N</td><td></td><td>Y</td><td class="  dt-right">2022</td><td></td><td>N</td><td>Low</td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right">15164</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>HUC: 14070006</td><td></td><td></td><td class="  dt-right">16.9</td><td>Miles</td></tr><tr class="even"><td>2</td><td class="  dt-right">9</td><td>AZ</td><td>State</td><td>21ARIZ</td><td>Arizona</td><td>STREAM</td><td class="  dt-right">2024</td><td class="  dt-right">2022</td><td>AZ14070006-001_00</td><td>Colorado River, from GLEN CANYON DAM to LEES FERRY</td><td>A</td><td>Not Supporting</td><td>5</td><td></td><td>OTHER_USE</td><td>Agricultural Livestock Watering</td><td></td><td>F</td><td>2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>METALS (OTHER THAN MERCURY)</td><td>SELENIUM</td><td>Cause</td><td>Meeting criteria</td><td>5</td><td></td><td>N</td><td></td><td>Y</td><td class="  dt-right">2022</td><td></td><td>N</td><td>Low</td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right">15164</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>HUC: 14070006</td><td></td><td></td><td class="  dt-right">16.9</td><td>Miles</td></tr><tr class="odd"><td>3</td><td class="  dt-right">9</td><td>AZ</td><td>State</td><td>21ARIZ</td><td>Arizona</td><td>STREAM</td><td class="  dt-right">2024</td><td class="  dt-right">2022</td><td>AZ14070006-001_00</td><td>Colorado River, from GLEN CANYON DAM to LEES FERRY</td><td>A</td><td>Not Supporting</td><td>5</td><td></td><td>ECOLOGICAL_USE</td><td>Aquatic and Wildlife (Coldwater Fishery)</td><td></td><td>N</td><td>5</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>METALS (OTHER THAN MERCURY)</td><td>SELENIUM</td><td>Cause</td><td>Not meeting criteria</td><td>5</td><td></td><td>N</td><td></td><td>Y</td><td class="  dt-right">2022</td><td></td><td>N</td><td>Low</td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right">15164</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>HUC: 14070006</td><td></td><td></td><td class="  dt-right">16.9</td><td>Miles</td></tr><tr class="even"><td>4</td><td class="  dt-right">9</td><td>AZ</td><td>State</td><td>21ARIZ</td><td>Arizona</td><td>STREAM</td><td class="  dt-right">2024</td><td class="  dt-right">2022</td><td>AZ14070006-001_00</td><td>Colorado River, from GLEN CANYON DAM to LEES FERRY</td><td>A</td><td>Not Supporting</td><td>5</td><td></td><td>RECREATION_USE</td><td>Full Body Contact</td><td></td><td>F</td><td>2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>METALS (OTHER THAN MERCURY)</td><td>SELENIUM</td><td>Cause</td><td>Meeting criteria</td><td>5</td><td></td><td>N</td><td></td><td>Y</td><td class="  dt-right">2022</td><td></td><td>N</td><td>Low</td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right">15164</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>HUC: 14070006</td><td></td><td></td><td class="  dt-right">16.9</td><td>Miles</td></tr><tr class="odd"><td>5</td><td class="  dt-right">9</td><td>AZ</td><td>State</td><td>21ARIZ</td><td>Arizona</td><td>STREAM</td><td class="  dt-right">2024</td><td class="  dt-right">2022</td><td>AZ14070006-001_00</td><td>Colorado River, from GLEN CANYON DAM to LEES FERRY</td><td>A</td><td>Not Supporting</td><td>5</td><td></td><td>DRINKINGWATER_USE</td><td>Domestic Water Source</td><td></td><td>F</td><td>2</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>METALS (OTHER THAN MERCURY)</td><td>SELENIUM</td><td>Cause</td><td>Meeting criteria</td><td>5</td><td></td><td>N</td><td></td><td>Y</td><td class="  dt-right">2022</td><td></td><td>N</td><td>Low</td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right"></td><td class="  dt-right">15164</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>HUC: 14070006</td><td></td><td></td><td class="  dt-right">16.9</td><td>Miles</td></tr></tbody>
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River, from GLEN CANYON DAM to LEES FERRY","Colorado River, from GLEN CANYON DAM to LEES FERRY","Colorado River, from GLEN CANYON DAM to LEES FERRY","Colorado River, from GLEN CANYON DAM to LEES FERRY","Colorado River, from GLEN CANYON DAM to LEES FERRY","Colorado River, from GLEN CANYON DAM to LEES FERRY","Paria River, from AZ Border to COLORADO RIVER","Paria River, from AZ Border to COLORADO RIVER","Paria River, from AZ Border to COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","MATKATAMIBA CREEK","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","MATKATAMIBA CREEK","MATKATAMIBA CREEK","MATKATAMIBA CREEK","MATKATAMIBA CREEK","MATKATAMIBA CREEK","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","Kanab Creek, from Jumpup Canyon to COLORADO RIVER","Kanab Creek, from Jumpup Canyon to COLORADO RIVER","Kanab Creek, from Jumpup Canyon to COLORADO RIVER","Kanab Creek, from Jumpup Canyon to COLORADO RIVER","Kanab Creek, from Jumpup Canyon to COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","LITTLE COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","SPRING CANYON CREEK","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","SPRING CANYON CREEK","SPRING CANYON CREEK","Virgin River, from Beaver Dam Wash to SAND HOLLOW WASH","Virgin River, from Beaver Dam Wash to SAND HOLLOW WASH","Virgin River, from Beaver Dam Wash to SAND HOLLOW WASH","Virgin River, from Beaver Dam Wash to SAND HOLLOW WASH","Virgin River, from Beaver Dam Wash to SAND HOLLOW WASH","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","Colorado River, from Parashant Canyon to TRIB@354611/1132102","Colorado River, from Parashant Canyon to TRIB@354611/1132102","Colorado River, from Parashant Canyon to TRIB@354611/1132102","Colorado River, from Parashant Canyon to TRIB@354611/1132102","Colorado River, from Parashant Canyon to TRIB@354611/1132102","Colorado River, from Parashant Canyon to TRIB@354611/1132102","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","COLORADO RIVER","ROYAL ARCH CREEK","ROYAL ARCH CREEK","ROYAL ARCH CREEK","Virgin River, from Sullivans Canyon to BEAVER DAM WASH","Virgin River, from Sullivans Canyon to BEAVER DAM WASH","Virgin River, from Sullivans Canyon to BEAVER DAM WASH","Virgin River, from Sullivans Canyon to BEAVER DAM WASH","Virgin River, from Sullivans Canyon to BEAVER DAM WASH","Colorado River, from Main Canal to MEXICO BORDER","Colorado River, from Main Canal to MEXICO BORDER","Colorado River, from Main Canal to MEXICO BORDER","Colorado River, from Main Canal to MEXICO BORDER","Colorado River, from Main Canal to MEXICO BORDER","Colorado River, from Main Canal to MEXICO BORDER","San Pedro River, from Peppersauce Wash to ARAVAIPA CREEK","San Pedro River, from Peppersauce Wash to ARAVAIPA CREEK","San Pedro River, from Peppersauce Wash to ARAVAIPA CREEK","San Pedro River, from Peppersauce Wash to ARAVAIPA CREEK","Copper Creek, from Headwaters to COPPER CREEK ROAD","HERMIT CREEK","HERMIT CREEK","HERMIT CREEK","Gila River, from HASSAYAMPA RIVER to GILLESPIE DAM","Gila River, from HASSAYAMPA RIVER to GILLESPIE DAM","Gila River, from HASSAYAMPA RIVER to GILLESPIE DAM","Gila River, from HASSAYAMPA RIVER to GILLESPIE DAM","Gila River, from HASSAYAMPA RIVER to GILLESPIE DAM","Gila River, from Waterman Wash to HASSAYAMPA RIVER","Gila River, from Waterman Wash to HASSAYAMPA RIVER","Gila River, from Waterman Wash to HASSAYAMPA RIVER","Gila River, from Waterman Wash to HASSAYAMPA RIVER","Gila River, from Waterman Wash to HASSAYAMPA RIVER","Three R Canyon, from UNNAMED TRIB TO THREE R to COX GULCH","Three R Canyon, from UNNAMED TRIB TO THREE R to COX GULCH","Three R Canyon, from UNNAMED TRIB TO THREE R to COX GULCH","Three R Canyon, from UNNAMED TRIB TO THREE R to COX GULCH","Copper Creek, from Headwaters to COPPER CREEK ROAD","Copper Creek, from Headwaters to COPPER CREEK ROAD","Copper Creek, from Headwaters to COPPER CREEK ROAD","Lake Havasu","Lake Havasu","Lake Havasu","Lake Havasu","Lake Havasu","Lake Havasu","Hassayampa River, from Buckeye Canal to ARLINGTON CANAL","Hassayampa River, from Buckeye Canal to ARLINGTON CANAL","Hassayampa River, from Buckeye Canal to ARLINGTON CANAL","Hassayampa River, from Buckeye Canal to ARLINGTON CANAL","Pinto Creek, from WEST FORK PINTO CREEK to ROOSEVELT LAKE","Pinto Creek, from WEST FORK PINTO CREEK to ROOSEVELT LAKE","Pinto Creek, from WEST FORK PINTO CREEK to ROOSEVELT LAKE","Pinto Creek, from WEST FORK PINTO CREEK to ROOSEVELT LAKE","Pinto Creek, from WEST FORK PINTO CREEK to ROOSEVELT LAKE","Lake Mohave","Lake Mohave","Lake Mohave","Lake Mohave","Lake Mohave","Lake Mohave","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Agua Fria River, from UNNAMED TRIBUTARY to YARBER WASH","Mainstem of Big Thompson River","Big Thompson River, mainstem","West Lake in James M. Robb Colorado River State Park.","Big Thompson River, mainstem","Big Thompson River, all tributaries","Beaver Creek, mainstem","North Sterling Reservoir.","Little Thompson River, mainstem","Adobe Creek Reservoir.","Nee Gronda Reservoir.","Loutzenhizer Arroyo, mainstem and all tributaries.","Montrose Arroyo mainstem","Montrose Arroyo mainstem","Montrose Arroyo mainstem","Mud Creek and all tributaries.","Rock Creek.","John Martin Reservoir.","Lake Meredith.","Lake Henry.","Montrose Arroyo mainstem","Montrose Arroyo mainstem","Montrose Arroyo mainstem","Cedar and Dry Cedar Creeks, mainstems and tributaries","Cedar and Dry Cedar Creeks, mainstems and tributaries","Cedar and Dry Cedar Creeks, mainstems and tributaries","Willow Creek, mainstem and all tributaries.","Arkansas River, mainstem","Gunnison River, mainstem","Sweitzer Lake (a.k.a. Garnet Mesa Reservoir).","Arkansas River, mainstem","Arkansas River, mainstem","Greenhorn Creek, mainstem","Sixmile Creek, mainstem","Huerfano River, mainstem","Dry Creek, mainstem and all tributaries","Dry Creek, mainstem and all tributaries","Apishapa River, mainstem","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Coal Canyon, mainstem and all tributaries","South Canyon Creek, mainstem.","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Sulphur and Flag Creeks, mainstems and tributaries.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Kannah Creek, mainstem","Kannah Creek, mainstem","Kannah Creek, mainstem","Horse Creek, mainstem","Red Rock Creek, mainstem","Red Rock Creek, mainstem","Red Rock Creek, mainstem","Many tributaries in the Lower Arkansas Basin.","Wiley Drainage Ditch.","Wild Horse Creek.","Tongue Creek, mainstem","E. Mancos River, mainstem","Apache, Breckenridge, Little Horse, Bob, Rule, Muddy, Caddoa, Cat, Mustang, Chicosa, Smith Canyon, Mud, Frijole, Luning Arroyo, Blackwell Arroyo and San Isidro Creeks, mainstems","Deadman Creek/Gulch, mainstem and all tributaries","Salt Creek, mainstem and tributaries.","Adobe and Leach Creeks, mainstem and tributaries.","Indian Wash, mainstem.","Dry Creek, mainstem and all tributaries","Sand Creek, mainstem","South Platte River, all tributaries.","Big Sandy Creek, mainstem in Prowers County","Unnamed tributary","Colorado River tributaries","Coal Creek, mainstem","Boxelder Creek, mainstem","Boxelder Creek, mainstem","Sand Creek, mainstem","North, South and mainstem of Dry Fork, mainstem and tributaries.","Goldsmith Gulch","Upper Windmill Creek","Fourmile Creek, mainstem and all tributaries","Jay Creek, mainstem","Leroux Creek, mainstem","Cottonwood Creek","Alkali Slough, mainstem and tributaries","Sand Creek (near Colorado Springs), mainstem and all tributaries","Little Fountain Creek, mainstem and all tributaries","Big Gulch","Short Draw","Bell Creek, mainstem and all tributaries","Many tributaries to the Gunnison River.","Whitewater Creek, mainstem.","Whitewater Creek, mainstem.","Whitewater Creek, mainstem.","Wells Gulch.","Wells Gulch.","Uncompahgre River, mainstem.","Uncompahgre River, mainstem.","Stinking Gulch, mainstem and tributaries.","Boggs Creek, mainstem","Boggs Creek, mainstem","Wells Gulch.","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Arkansas River, mainstem","Arkansas River, mainstem","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Dry Creek tributaries","Dry Creek","Arkansas River, all tributaries.","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Humphrey Backwater","Sage Creek, mainstem and tributaries","Timpas Creek, mainstem","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Gunnison River tributaries","Colorado River, all tributaries.","Mamm Creek, mainstem and tributaries.","Mamm Creek, mainstem and tributaries.","Alkali Creek, mainstem and tributaries.","Gilson Gulch, mainstem and tributaries","MULLOCK CREEK (MARINE SEGMENT)","Little Ogeechee River","Lincoln Creek","St. Catherines Sound","Barn Creek","Gibson Creek","Purvis Creek","Turtle River","Brunswick River","Floyd River","Maple River","Soldier River","West Fork Little Sioux River","Boyer River","Big Sioux River","Wellington Lake","Smoky Hill R, N Fk","Saline R","Crooked Cr","Solomon R, S Fk","Smoky Hill R, N Fk","Buffalo Cr","Solomon R, S Fk","Sappa Cr","Smoky Hill R","Saline R","Solomon R, N Fk","Solomon R, S Fk","Arikaree R","Long Branch","Smoky Hill R","Smoky Hill R","Big Timber Cr","Solomon R, S Fk","Spring Branch","Solomon R, N Fk","Spring Cr","Ladder Cr","Big Cr","Oak Cr","Solomon R, S Fk","Twin Butte Cr","Walker Cr","Saline R","Coon Cr","Chalk Cr","Big Cr","Saline R","Little Oak Cr","Saline R","Oak Cr","Solomon R, S Fk","Ladder Cr","Big Cr, N Fk","Hackberry Cr","Big Cr","Solomon R, S Fk","Smoky Hill R","Hackberry Cr, M Br","Spring Cr","Lake Cr","Big Cr","Paradise Cr","Solomon R, N Fk","Goose Cr","Hackberry Cr, N Br","Chetolah Cr","Spring Cr","Sappa Cr, N Fk","Spring Cr, West","Eagle Cr","Saline R","Solomon R, N Fk","Sappa Cr","Prairie Dog Cr","Smoky Hill R","Mud Cr","Paradise Cr","Solomon R, N Fk","Arkansas R","Coon Cr","Walnut Cr","Arkansas R","Pawnee R","Walnut R","Alexander Dry Cr","Walnut Cr, N Fk","Walnut Cr","Walnut R","Wild Horse Cr","Bazine Dry Cr","Cow Cr","Cimarron R","Arkansas R","Cimarron R, N Fk","Arkansas R","Walnut Cr, N Fk","Cimarron R","Walnut Cr, N Fk","Arkansas R","Walnut Cr, Middle Fk","Cimarron R","Ash Cr","Arkansas R","Walnut Cr","Walnut Cr","Arkansas R","Arkansas R","Sand Cr","Solomon R, S Fk","Arkansas R","Coon Cr","Arkansas R","Solomon R, S Fk","Little Coon Cr","Walnut Cr","Arkansas R","Arkansas R","Walnut Cr","Arkansas R","White Rock Cr","Long Branch","Jones Cr","Burr Oak Cr","Prairie Dog Cr","Korb Cr","Buffalo Cr","Prairie Dog Cr, N Fk","White Rock Cr","White Rock Cr","Prairie Dog Cr","Pawnee Cr","Illinois Cr","Buffalo Cr","White Rock Cr, N Br","Marsh Cr","Marsh Cr","Big Nemaha R, S Fk","Walnut Cr","Squaw Branch","Ash Cr","Boy Cr","White Rock Cr","Antelope Cr","Cotton Cr","Walnut Cr","Wolf Cr","Dutch Cr","Coyote Cr","Coon Cr","Smoky Hill R","Salt Cr","Smoky Hill R","Spring Cr, East","Happy Cr","Elk Cr","Smoky Hill R","Wild Horse Cr","Buck Cr","Shelter Cr","Wild Horse Cr","Solomon R, N Fk","Solomon R, N Fk","Sand Cr","Smoky Hill R","Eagle Cr","Saline R","Blue Stem Cr","Bow Cr","Solomon R, N Fk","Smoky Hill R","Smoky Hill R","Landon Cr","Loss Cr","Saline R","Sweetwater Cr","Lost Cr","Beaver Cr, West","Indian Cr","Sand Cr","Unnamed Stream","Yauger Cr","Lost Cr","Solomon R, N Fk","Smoky Hill R","Smoky Hill R","Sellens Cr","Turkey Cr","Wolf Cr","Twelvemile Cr","Scull Cr","Cedar Cr","Smoky Hill R","Big Windy Cr","Unnamed Stream","Beaver Cr","Saline R","Wolf Cr, E Fk","Wolf Cr","Buffalo Cr, East","Downer Cr, E Br","Smoky Hill R","Coal Cr","Saline R, N Fk","Wolf Cr, W Fk","Twin Cr, West","Beaver Cr","Cedar Cr, East","Eagletail Cr","Smoky Hill R","Sand Cr, E Br","Saline R","Ash Cr","Cedar Cr","Whites Cr","Lake Cr, S Fk","Smoky Hill R","Smoky Hill R","Wolf Cr","Saline R","Elk Cr, East","Middle Cedar Cr","Cheyenne Cr","Ladder Cr, South","Unnamed Stream","Saline R, S Fk","Bullfoot Cr","Cedar Cr, West","Rose Cr","Smoky Hill R","Smoky Hill R","Big Timber Cr","Cow Cr","Holland Cr","Spring Cr E","Cactus Cr","Coon Cr","Six Mile Cr","Smoky Hill R","Goose Cr","Salt Cr","Beaver Cr","Pond Cr","Smoky Hill R","Big Timber Cr","Wilson Cr","Holland Cr, West","Spring Cr","Otter Cr","Beaver Cr, E Br","Downer Cr","Smoky Hill R","Big Timber Cr","Holland Cr, East","Spring Brook Cr","Fourmile Cr","Solomon R, N Fk","Beaver Cr, Middle","Hell Cr","Fossil Cr","Unnamed Stream","Spring Cr","Deer Cr","Medicine Cr","Limestone Cr","Spring Cr","Antelope Cr","Kill Cr","Limestone Cr, Middle","Leban Cr","Solomon R, S Fk","Covert Cr","Limestone Cr, West","Deer Cr","Sand Cr","Lost Cr","Plotner Cr","Twin Cr","Solomon R","Deer Cr","Solomon R, S Fk","Carr Cr","Brush Cr","Twin Cr, East","Boughton Cr","Wild Horse Cr","Middle Cedar Cr East","Foster Cr","Starvation Cr","Solomon R","Oak Cr, West","Youngs Cr","Plum Cr","Jackson Branch","Deer Cr","Oak Cr, East","Solomon R, S Fk","Solomon R","Lawrence Cr","Lost Cr","Solomon R","Plum Cr","Sand Cr","Limestone Cr","Deer Cr","Solomon R, S Fk","Medicine Cr","Mulberry Cr","Big Blue R","Mission Cr","Murdock Cr","Dry Cr","Salt Cr","Darr Cr","Little Arkansas R","Walnut Cr","Dry Cr","Slate Cr","Beaver Cr","Sandy Cr","Turkey Cr","Sand Cr","Turkey Cr","Bull Cr","Otter Cr","Dry Cr","Dry Turkey Cr","Running Turkey Cr","Unnamed Stream","Boot Cr","Little Arkansas R","Arkansas R","Arkansas R","Owl Cr","Hargis Cr","Cow Cr","Jarvis Cr","White Woman Cr","Horse Cr","Oak Cr","Lone Tree Cr","Spring Cr","Walnut Cr, S Fk","Walnut R, W Br","Constant Cr","Verdigris R","Verdigris R","Claymore Cr","Bird Cr","Dibble Cr","Buffalo Cr, Middle","Capper Draw","Middle Cedar Cr West","Cow Cr","Plum Cr, West","Wild Horse Cr, West Br","Unnamed Stream","Arkansas R","Oak Cr, Middle","Dry Walnut Cr","Black John Branch 0.0 to 0.9","Defeated Creek 0.5 to 2.0","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100110","Rivers/Streams in HUC 040301100110","Rivers/Streams in HUC 040301100111","Rivers/Streams in HUC 040301100111","Rivers/Streams in HUC 040301100111","Rivers/Streams in HUC 040301100106","Rivers/Streams in HUC 040301100106","Rivers/Streams in HUC 040301100106","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","GOOSE LAKE","GOOSE LAKE","GOOSE LAKE","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100107","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100108","Rivers/Streams in HUC 040301100304","Rivers/Streams in HUC 040301100304","BONEY FALLS RESERVOIR","BONEY FALLS RESERVOIR","Rivers/Streams in HUC 040700030309","Rivers/Streams in HUC 040700030309","Rivers/Streams in HUC 040700030309","Rivers/Streams in HUC 040700030309","English Coulee","English Coulee","Forest River","Forest River","Forest River","Forest River","Forest River","Forest River","English Coulee","English Coulee","Pembina River","Sprague Lake Watershed","Tongue River","Tongue River","Tongue River","Tongue River","Tongue River","Tributaries To The Elm River","South Branch Turtle River","South Branch Turtle River","South Branch Turtle River","South Branch Turtle River","South Branch Turtle River","South Branch Turtle River","Tongue River","Turtle River","Turtle River","Park River","Park River","Park River","Park River","Park River","Pembina River","Park River","Turtle River","Turtle River","Salt Water Coulee (From Fresh Water Coulee)","Park River","Pembina River","Pembina River","Pembina River","Park River","Kelly Slough","Tributary Watershed To The Forest River","Tributaries To The Middle and Lower Des Lacs Lake","Bazile Creek","Logan Creek","Logan Creek","Sheep Creek","Sheep Creek","Sheep Creek","Sheep Creek","Walker Lake","Rye Patch Reservoir","Rye Patch Reservoir","Rye Patch Reservoir","Rye Patch Reservoir","Chalk Creek","Chalk Creek","Chalk Creek","Chalk Creek","Pittman Wash","Pittman Wash","Pittman Wash","Water Canyon Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Water Canyon Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Water Canyon Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Water Canyon Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Sammy Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Sammy Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Sammy Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Sammy Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Flamingo Wash","Flamingo Wash","Duck Creek","Duck Creek","Duck Creek","Las Vegas Wash above Treatment Plants","Las Vegas Wash above Treatment Plants","Las Vegas Wash above Treatment Plants","Flamingo Wash","Mosquito Canyon Creek","Mosquito Canyon Creek","Mosquito Canyon Creek","Mosquito Canyon Creek","Dry Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Dry Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Dry Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Dry Creek - Humboldt River, North Fork and tributaries at the national forest boundary","Sloan Channel","Sloan Channel","Sloan Channel","Las Vegas Creek","Las Vegas Creek","Las Vegas Creek","Humboldt River at the Humboldt Sink","Humboldt River at the Humboldt Sink","Humboldt River at the Humboldt Sink","San Francisco Bay, Central","San Francisco Bay, Central","San Francisco Bay, Central","San Francisco Bay, Central","San Francisco Bay, South","San Francisco Bay, South","San Francisco Bay, South","San Pablo Bay","San Pablo Bay","San Pablo Bay","Suisun Bay","Suisun Bay","Oakland Inner Harbor (Fruitvale Site, part of SF Bay, Lower)","Oakland Inner Harbor (Pacific Dry-dock Yard 1 Site, part of SF Bay, Lower)","Central Basin, San Francisco (part of SF Bay, Lower)","Castro Cove, Richmond (San Pablo Basin)","Lake Lindero","Carquinez Strait","Carquinez Strait","Ferguson Lake","Ferguson Lake","Ferguson Lake","Permanente Creek","Permanente Creek","Tequisquita Slough","Ventura River Reach 1 and 2 (Estuary to Weldon Canyon)","Ventura River Reach 1 and 2 (Estuary to Weldon Canyon)","Duck Pond Agricultural Drains/Mugu Drain/Oxnard Drain No 2","Duck Pond Agricultural Drains/Mugu Drain/Oxnard Drain No 2","Santa Clara River Reach  3 (Freeman Diversion to  A Street)","Blanco Drain","Sepulveda Canyon","Calleguas Creek Reach 6 (Conejo Creek to Hitch Rd.)","Calleguas Creek Reach 6 (Conejo Creek to Hitch Rd.)","Puente Creek","Calleguas Creek Reach 7 (Arroyo Simi)","Artesia-Norwalk Drain","Coyote Creek, North Fork","Medea Creek Reach 1 (Lake to Confl. with Lindero)","Medea Creek Reach 1 (Lake to Confl. with Lindero)","Las Virgenes Creek","Las Virgenes Creek","Triunfo Canyon Creek Reach 1","Los Angeles River Reach 5 ( within Sepulveda Basin)","Los Angeles River Reach 6 (Above Sepulveda Flood Control Basin)","Medea Creek Reach 2 (Abv Confl. with Lindero)","Burbank Western Channel","Malibu Creek","Lindero Creek Reach 1","Lindero Creek Reach 2 (Above Lake)","Malibu Creek","Willow Slough Bypass (Yolo County)","Willow Slough Bypass (Yolo County)","Willow Slough Bypass (Yolo County)","Bear Creek (Colusa County)","Bear Creek (Colusa County)","Dry Creek (tributary to Clear Creek, Butte County)","Clear Creek (Butte County)","San Joaquin River (  Mud Slough to Merced River)","Agatha Canal (Merced County)","Cantua Creek","Los Gatos Creek (Fresno County)","Panoche Creek (Silver Creek to Belmont Avenue)","Peters Canyon Wash (Orange County)","Alamo River","Alamo River","Imperial Valley Drains","Imperial Valley Drains","New River (Imperial County)","New River (Imperial County)","Arroyo Trabuco Creek, Lower","Poway Creek","Grasslands Marshes","San Marcos Creek, Upper (above San Marcos Lake)","Mendota Pool","Mendota Pool","Alvarado Creek","Moro Canyon Creek","Prima Deshecha Creek","English Canyon","Cristianitos Creek","Loma Alta Creek","Telegraph Canyon Creek","Paradise Creek, HSA 908.320","Wood Canyon (Orange County)","Tecate Creek","Cottonwood Creek below Barrett Reservoir","Los Coches Creek","Soledad Canyon","Encinitas Creek","Cottonwood Creek (San Marcos Creek watershed)","San Marcos Creek, Lower (below San Marcos Lake)","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Moyie River to Deep Creek","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Kootenai River - Idaho/Montana to Moyie River","Crow Creek - Deer Creek to border","Crow Creek - Deer Creek to border","Crow Creek - Deer Creek to border","Crow Creek - Deer Creek to border","North Fork Sage Creek","North Fork Sage Creek","North Fork Sage Creek","North Fork Sage Creek","North Fork Sage Creek","North Fork Sage Creek","North Fork Sage Creek","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","Sage Creek - confluence with North Fork Sage Creek to mouth","lower Spring Creek","lower Spring Creek","lower Spring Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River - headwaters to Slug Creek","Blackfoot River","Blackfoot River","Blackfoot River","Sheep Creek - below confluence of South Fork Sheep Creek","Sheep Creek - below confluence of South Fork Sheep Creek","Sheep Creek - below confluence of South Fork Sheep Creek","Sheep Creek - below confluence of South Fork Sheep Creek","Sheep Creek - below confluence of South Fork Sheep Creek","Sheep Creek - below confluence of South Fork Sheep Creek","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Dry Valley Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Maybe Creek - source to mouth","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","Spring Creek (Blackfoot River tributary)","lower Spring Creek","lower Spring Creek","lower Spring Creek","lower Spring Creek","lower Spring Creek","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Upper Georgetown Creek - headwaters to left hand fork","Dry Valley Creek","Dry Valley Creek","Chicken Creek (tributary to Dry Valley Creek)","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","East Mill Creek","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","lower Mill Canyon","Pole Canyon Creek","South Fork Sage Creek","South Fork Sage Creek","South Fork Sage Creek","South Fork Sage Creek","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","South Fork Sheep Creek","South Fork Sheep Creek","South Fork Sheep Creek","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","State Land Creek - headwaters to Blackfoot River","Rasmussen Creek","Rasmussen Creek","Rasmussen Creek","Goodheart Creek","Goodheart Creek","Goodheart Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Angus Creek - upper, headwaters to Rasumussen Creek","Mousam R,","Mousam R,","Mousam R,","Mousam R,","Mousam R,","Mousam R,","Elk Creek","Montana Gulch","Alder Gulch","Ruby Creek","Ruby Gulch","Rock Creek","Mill Gulch","Mill Gulch","Lake Bowdoin","Lake Bowdoin","Sullivan Creek","Big Coulee Creek","Peet Creek","Peet Creek","Flatwillow Creek","King Creek","King Creek","German Gulch","Missouri River","O'Brien Creek","Muddy Creek","Lake Creek","Glendive Creek","Cedar Creek","Lake Koocanusa","Freezeout Lake","Freezeout Lake","Benton Lake","Benton Lake","Spidel Waterfowl Production Area","Spidel Waterfowl Production Area","Coffee Creek","Wolf Creek","Last Chance Creek","Big Timber Creek","Big Timber Creek","Priest Butte Lake","Priest Butte Lake","Poteau River","Poteau River","Little River","Red River","Red River","Red River","Red River, North Fork","Red River, North Fork","Red River","Red River, North Fork","Sandy Creek (Lebos)","Sandy Creek (Lebos)","Red River","Red River","Red River","Red River","Cow Creek","Skeleton Creek","Red River","Red River","Red River, Salt Fork","Red River, Salt Fork","Red River, Salt Fork","Red River, Salt Fork","Red River, Salt Fork","Clear Boggy Creek","Clear Boggy Creek","Cimarron River","Cimarron River","Cherry Creek","Beaver River (North Canadian)","Beaver River (North Canadian)","Cache Creek, West","Elk Creek","Elk Creek","Cache Creek, West","Cache Creek, West","Cache Creek, West","Red River, Elm Fork","Red River, Elm Fork","Red River, Elm Fork","Red River, Elm Fork","Red River, Elm Fork","Red River, Elm Fork","Red River, Elm Fork","Cimarron River","Cimarron River","Palo Duro Creek","Palo Duro Creek","Mud Creek","Cow Creek","Cow Creek","Cimarron River","Cimarron River","Cimarron River","Cimarron River","Freeman Lake","Unnamed Trib to Vick Creek","Arrow Lake","Birch Spring Draw","Birch Spring Draw","Price River-3","Price River-3","Bitter Creek Lower","Sixth Water Creek","Midas Creek","Stewart Lake","Antelope Creek","Huntington Creek-1","Ashley Creek Lower","Ashley Creek Lower","Westwater Creek","Colorado River-6","Middle Ashley Creek","Brush Creek","Colorado River-5","Green River-2","Montezuma Creek-3","Blue Creek","Colorado River-3","Colorado River-4","Kanab Creek-2","Kanab Creek-2","Pack Creek","Pariette Draw Creek","Pariette Draw Creek","Stonecoal Branch","Stonecoal Branch","Berry Branch","Berry Branch","Berry Branch","Berry Branch","Mullins Branch","Mullins Branch","Mullins Branch","Mullins Branch","Sugartree Branch","Sugartree Branch","Sugartree Branch","Sugartree Branch","Stanley Fork","Stanley Fork","Stanley Fork","Stanley Fork","Lukey Fork","Lukey Fork","Lukey Fork","Lukey Fork","Hughes Creek","Hughes Creek","Birch River","Rattlesnake Hollow","Rattlesnake Hollow","Road Branch","Road Branch","Birch River","Birch River","Birch River","Birch River","Birch River","Gilbert Creek","Leatherwood Creek","Leatherwood Creek","Birch River","Birch River","Mud River","Mud River","Mud River","Mud River","Rum Creek","Rum Creek","Rum Creek","Gilbert Creek","Gilbert Creek","Gilbert Creek","Leatherwood Creek","Leatherwood Creek","Leatherwood Creek","Leatherwood Creek","Armstrong Creek","Armstrong Creek","Armstrong Creek","Armstrong Creek","Birch River","Birch River","Mud River","Mud River","Mud River","Mud River","Rum Creek","Rum Creek","Rum Creek","Cabin Creek","Cabin Creek","Flaggy Meadow Run","Flaggy Meadow Run","Flaggy Meadow Run","Flaggy Meadow Run","Mud River","Mud River","Mud River","Mud River","Cabin Creek","Cabin Creek","Cabin Creek","Cabin Creek","Cabin Creek","Cabin Creek","Big Coal River","Big Coal River","Reedy Branch","Reedy Branch","Ben Creek","Ben Creek","Big Creek","Big Creek","Dingess Run","Dingess Run","Dingess Run","Dingess Run","Big Ugly Creek","Big Ugly Creek","Hughes Creek","Hughes Creek","Pointlick Fork","Pointlick Fork","UNT/Tug Fork RM 157.07","Bullpush Fork","Bullpush Fork","UNT/Tug Fork RM 157.07","Fourmile Fork","Fourmile Fork","Bandmill Hollow (Righthand Fork)","Bandmill Hollow (Righthand Fork)","Wet Branch","Fourmile Fork","Fourmile Fork","Arnett Run","Arnett Run","Camp Creek","Camp Creek","Wet Branch","Toms Branch","Toms Branch","Freeze Fork","Freeze Fork","Big Horse Creek","Big Horse Creek","Georges Creek","Georges Creek","Joe Branch","Joe Branch","Sandlick Creek","Sandlick Creek","Fork Creek","Fork Creek","Coal Fork","Coal Fork","Barn Hollow","Turnhole Branch","Turnhole Branch","Coal Fork","Coal Fork","Barn Hollow","Graveyard Hollow","Graveyard Hollow","Harmon Branch","Harmon Branch","UNT/Tug Fork RM 145.75","UNT/Tug Fork RM 145.75","Sixmile Hollow","Sixmile Hollow","Right Fork/Leatherwood Creek","Right Fork/Leatherwood Creek","Buckles Branch","Buckles Branch","Frozen Branch","Road Fork","Road Fork","Frozen Branch","Pine Creek","Pine Creek","Pine Creek","Pine Creek","Rockhouse Branch","Rockhouse Branch","Cow Creek","Cow Creek","Cow Creek","Cow Creek","Hurricane Fork","Hurricane Fork","Mill Fork","Mill Fork","Peg Fork","Peg Fork","Fifteenmile Fork","Fifteenmile Fork","UNT/Loop Creek RM 13.30","UNT/Loop Creek RM 13.30","Road Branch","Road Branch","Little Birch River","Little Birch River","Missouri Creek","Missouri Creek","Dingess Branch","Dingess Branch","Left Fork/Ben Creek","Left Fork/Ben Creek","White Oak Creek","White Oak Creek","White Oak Creek","White Oak Creek","UNT/Cabin Creek RM 20.30","UNT/Cabin Creek RM 20.30","Town Creek","Town Creek","Toler Hollow","Toler Hollow","Right Hand Fork/Rum Creek","Right Hand Fork/Rum Creek","Horsepen Creek","Horsepen Creek","Tenmile Fork","Tenmile Fork","UNT/Rum Creek RM 1.83","UNT/Rum Creek RM 1.83","Slab Fork","Slab Fork","Beech Fork","Beech Fork","Little Elk Creek","Little Elk Creek","Adams Fork","Adams Fork","Seng Creek","Seng Creek","Big Lick Branch","Big Lick Branch","Spruce Fork","Spruce Fork","Beech Branch","Beech Branch","UNT/Madison Branch RM 0.68","UNT/Madison Branch RM 0.68","Left Fork/Rich Creek","Left Fork/Rich Creek","Big Branch","Big Branch","UNT/Bull Creek RM 4.71","UNT/Bull Creek RM 4.71","Laurel Branch","Laurel Branch","Spring Branch","Spring Branch","Toms Fork","Toms Fork","Tenmile Fork","Tenmile Fork","UNT/Pointlick Fork RM 2.26","UNT/Pointlick Fork RM 2.26","Laurel Creek","Laurel Creek","Laurel Creek","Laurel Creek","Laurel Creek","Laurel Creek","Ruffner Hollow","Ruffner Hollow","Rockhouse Fork","Rockhouse Fork","Evans Ferrell Branch","Evans Ferrell Branch","UNT/South Fork RM 5.46/Tug Fork","UNT/South Fork RM 5.46/Tug Fork","Road Fork","Road Fork","Bragg Run","Bragg Run","Otter Hole","Otter Hole","Hughes Fork","Hughes Fork","UNT/McMillion Creek RM 4.16","UNT/McMillion Creek RM 4.16","New West Hollow","New West Hollow","Clark Branch","Clark Branch","Slick Rock Branch","Slick Rock Branch","Kate Run","Kate Run","Cobb Run","Cobb Run","Riffle Hollow","Riffle Hollow","Bullpen Fork","Bullpen Fork","Cannel Coal Hollow","Cannel Coal Hollow","UNT/Ballard Harmon Branch RM 1.49","UNT/Ballard Harmon Branch RM 1.49","Big Branch","Big Branch","UNT/Sandlick Creek RM 3.00","UNT/Sandlick Creek RM 3.00","Laurel Fork/Coal Fork","Laurel Fork/Coal Fork","UNT/UNT RM 0.86/James Creek RM 0.22","UNT/UNT RM 0.86/James Creek RM 0.22","Rockhouse Creek","Rockhouse Creek","UNT/Freeze Fork RM 1.05","UNT/Freeze Fork RM 1.05","Gardner Branch","Gardner Branch","UNT/Missouri Creek RM 1.39","UNT/Missouri Creek RM 1.39","UNT/Georges Creek RM 1.07","UNT/Georges Creek RM 1.07","UNT/Georges Creek RM 1.50","UNT/Georges Creek RM 1.50","Right Fork/Pine Creek","Right Fork/Pine Creek","Twin Branch","Twin Branch","Right Fork/Camp Creek","Right Fork/Camp Creek","Fawn Hollow","Fawn Hollow","Left Fork/White Oak Creek","Left Fork/White Oak Creek","Right Fork/White Oak Creek","Right Fork/White Oak Creek","Jule Webb Fork","Jule Webb Fork","Culvert Hollow","Culvert Hollow","UNT/Elkhorn Creek RM 20.15","UNT/Elkhorn Creek RM 20.15","Sycamore Run","Sycamore Run","Hickory Branch","Hickory Branch","Little Marsh Fork","Little Marsh Fork","UNT/Bandmill Hollow RM 1.84","UNT/Bandmill Hollow RM 1.84","Jims Branch","Jims Branch","UNT/Marsh Fork RM 4.13 (Upper Big Branch)","UNT/Marsh Fork RM 4.13 (Upper Big Branch)","Road Fork/Robinson Fork","Road Fork/Robinson Fork","James Creek","Road Fork","Road Fork","North Fork/Big Creek","North Fork/Big Creek","Ewing Fork","Ewing Fork","Left Fork/Right Fork/Trace Fork","Left Fork/Right Fork/Trace Fork","Reeds Branch","Reeds Branch","Dennison Fork","Dennison Fork","Left Fork/Beech Creek","Left Fork/Beech Creek","UNT/Bull Creek RM 2.69","UNT/Bull Creek RM 2.69","UNT/Left Fork RM 1.18/Laurel Fork","UNT/Left Fork RM 1.18/Laurel Fork","UNT/Left Fork RM 1.99/Laurel Fork","UNT/Left Fork RM 1.99/Laurel Fork","Bandy Branch","Bandy Branch","James Creek","Abe Burgess Fork","Abe Burgess Fork","Laurel Branch","Laurel Branch","Long Branch","Long Branch","UNT/Tenmile Fork RM 4.17","UNT/Tenmile Fork RM 4.17","White Oak Creek","White Oak Creek","White Oak Creek","White Oak Creek","UNT/Whitman Creek RM 3.83 (Skifus Branch)","UNT/Whitman Creek RM 3.83 (Skifus Branch)","Toney Fork","Toney Fork","Beech Creek","Beech Creek","Beech Creek","Beech Creek","Left Fork/Laurel Fork","Cat Run","Cat Run","Left Fork/Laurel Fork","Trace Branch","Trace Branch","Stolling Fork","Stolling Fork","White Oak Branch","White Oak Branch","Garland Fork","Garland Fork","Brushy Fork","Brushy Fork","Mudlick Branch","Mudlick Branch","Boone Block Hollow","Boone Block Hollow","UNT/North Fork RM 1.52/Big Creek","UNT/North Fork RM 1.52/Big Creek","UNT/James Creek RM 0.22 (Left Fork)","UNT/James Creek RM 0.22 (Left Fork)","UNT/James Creek RM 0.76","UNT/James Creek RM 0.76","Brushy Fork","Brushy Fork","Bacon Hollow","Bacon Hollow","Dave Fork","Dave Fork","Copley Trace Branch","Copley Trace Branch","UNT/Spring Branch RM 0.56","UNT/Spring Branch RM 0.56","Abbott Creek","Abbott Creek","Long Branch","Long Branch","Big Pigeonroost Branch","Big Pigeonroost Branch","UNT/Left Fork RM 1.02/Rich Creek","UNT/Left Fork RM 1.02/Rich Creek","UNT/Oldfield Branch RM 0.46","UNT/Oldfield Branch RM 0.46","UNT/Coal Fork RM 4.63","UNT/Coal Fork RM 4.63","Perry Branch","Perry Branch","Lower Pete Branch","Lower Pete Branch","UNT/Proctor Hollow RM 0.54","UNT/Proctor Hollow RM 0.54","Robinson Creek","Robinson Creek","Right Fork/Trace Fork","Right Fork/Trace Fork","Left Fork/Pine Creek","Left Fork/Pine Creek","Little Jarrells Creek","Little Jarrells Creek","West Fork/Pond Fork","West Fork/Pond Fork","UNT/Pond Fork RM 14.72","UNT/Pond Fork RM 14.72","UNT/Tenmile Fork RM 1.22","UNT/Tenmile Fork RM 1.22","Casey Creek","Casey Creek","UNT/Pond Fork RM 15.92","UNT/Pond Fork RM 15.92","Beaver Pond Branch","Beaver Pond Branch","Jarrell Branch","Jarrell Branch","UNT/Tenmile Fork RM 3.98","UNT/Tenmile Fork RM 3.98","UNT/Sawmill Run RM 0.23","UNT/Sawmill Run RM 0.23","Powder River","Powder River","Powder River","Crow Creek","Crow Creek","Powder River","Powder River","Powder River","Powder River","Powder River","Powder River","Powder River","Powder River","Powder River","Muddy Creek","Muddy Creek","Powder River","Powder River","Powder River","Powder River","Powder River","Powder River","South Fork Powder River","South Fork Powder River","Willow Creek","Willow Creek","Posey Creek","Posey Creek","Posey Creek","Murphy Creek","Salt Creek","Salt Creek","Salt Creek","Salt Creek","Poison Spring Creek","Rasmus Lee Lake","Goose Lake","Oregon Trail Drain","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Crow Creek","Crow Creek","Crow Creek","Crow Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Poison Spider Creek","Illco Pond","Casper Creek","Casper Creek","Thirty-three Mile 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15050301","HUC: 15050301","HUC: 15050203","HUC: 15050203","HUC: 15050203","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15070103","HUC: 15070103","HUC: 15070103","HUC: 15070103","HUC: 15060103","HUC: 15060103","HUC: 15060103","HUC: 15060103","HUC: 15060103","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15030101","HUC: 15070102","HUC: 15070102","HUC: 15070102","HUC: 15070102","HUC: 15070102","HUC: 15070102","Mainstem of the Big Thompson River from the Big Barnes Ditch (40.406, -105.143) to the Greeley-Loveland Canal Diversion (40.397884, -105.106482).","Mainstem of the Big Thompson from the Greeley-Loveland Canal diversion to County Road 11H.","West Lake in James M. Robb Colorado River State Park","Mainstem of the Big Thompson River from I-25 to the confluence with the South Platte River.","All tributaries to the Big Thompson River, including all wetlands, from the Home Supply Canal diversion to the confluence with the South Platte River; excluding Dry Creek","Beaver Creek from the source to South Platte River, except for the portion of Beaver Creek from its source to the Fort Morgan Canal.","North Sterling Reservoir.","Mainstem of the Little Thompson River from the Culver Ditch diversion to the confluence with the Big Thompson River.","Adobe Creek Reservoir","Nee Gronda Reservoir","Loutzenhizer Arroyo and its tributaries","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Mud Creek and all tributaries.","Rock Creek.","John Martin Reservoir.","Lake Meredith","Lake Henry","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Montrose Arroyo from headwaters to confluence with Cedar Creek.","Cedar Creek and Dry Cedar Creek with their tributaries, except Montrose Arroyo.","Cedar Creek and Dry Cedar Creek with their tributaries, except Montrose Arroyo.","Cedar Creek and Dry Cedar Creek with their tributaries, except Montrose Arroyo.","Willow Creek and its tributaries","Mainstem of the Arkansas River from Blue Ribbon Creek to a point immediately above the confluence with Wildhorse/Dry Creek Arroyo.","Mainstem of the Gunnison River from North Fork to Highway 65.","Sweitzer Lake (a.k.a. Garnet Mesa Reservoir).","Mainstem of the Arkansas River from Pueblo Reservoir to Blue Ribbon Creek","Mainstem of the Arkansas River from a point immediately above the confluence with Wildhorse/Dry Creek Arroyo to a point immediately above the confluence with Fountain Creek.","Mainstem of Greenhorn Creek, from a point immediately below the Greenhorn Highline (Hayden Supply Ditch) diversion dam, to the confluence with the Saint Charles River.","Mainstem of Sixmile Creek from the source to the confluence with the Arkansas River.","Mainstem of Huerfano River from Highway 69 at Badito to the confluence with the Arkansas River.","Dry Creek including all tributaries from Routt County Road 53 to Yampa River","Dry Creek including all tributaries from Temple Gulch to Routt County Road 53","Mainstem of the Apishapa River from I-25 to the confluence with the Arkansas River.","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","Coal Canyon and its tributaries, except for the North and South tributaries in Second Park.","South Canyon Creek sections above hot springs","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Sulphur Creek, including all tributaries and wetlands, from the source to the confluence with the White River. Flag Creek, including all tributaries and wetlands, from a point just below the confluence with the East Fork of Flag Creek to the confluence with the White River.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Cummings Gulch, Peach Valley Creek, and Sunflower Drain including its tributaries and wetlands.","Mainstem of Kannah Creek","Mainstem of Kannah Creek","Mainstem of Kannah Creek","Mainstem of Horse Creek","Mainstem of Red Rock Creek from the boundary of Black Canyon of the Gunnison National Park to the confluence of the Gunnison River.","Mainstem of Red Rock Creek from the boundary of Black Canyon of the Gunnison National Park to the confluence of the Gunnison River.","Mainstem of Red Rock Creek from the boundary of Black Canyon of the Gunnison National Park to the confluence of the Gunnison River.","Mainstem MS of Buffalo, Cheyenne, Clay, Gageby, Two Butte, Wildhorse and Wolf Cks from sources to the Ark. R. MS of Chacuacho, San Francisco, Trinchera and Van Bremer Cks from sources to the Purgatoire R. MS of Willow Ck from HWY 287 to the confl with the Ark R. MS of Big Sandy Creek from source to the El PasoElbert cty line. MS of South Rush Ck from source to the confl with Rush Ck. MS of M Rush Ck from source to the confl with N Rush Ck N Rush Ck from source to the confl with S Rush Ck. MS of Rush Ck to the Lincoln cty Line. MS of Antelope Ck from source to the conf with Rush Ck; the W May Valley drain from Ft Lyon Canal to the confl with the Ark R.except Horse ck and Wiley Ditch.","Wiley Drainage Ditch.","Wild Horse Creek.","Mainstem of Tongue Creek from its inception at the confluence of Ward Creek and Dirty George Creek to the confluence with the Gunnison River","Mainstem of E. Mancos River.","Mainstem (MS) of Apache Ck. MS of Breckenridge Ck. MS of Little Horse Ck. MS of Bob Ck. MS of Rule Ck from Bent/Las Animas County line. MS of Muddy Ck from south boundary of Setchfield SWA. MS of Caddoa Ck from CC Rd. MS of Cat Ck. MS of Mustang Ck from the source to the confl. with Apishapa R. MS of Chicosa Ck from source to the Ark. R. MS of Smith Canyon from Otero/Las Animas county line to the confl. with Purgatoire R. MS of Mud Ck from V Rd to the confl. with the Arkansas R. MS of Frijole Ck and Luning Arroyo from sources to confl. with Purgatoire R. MS of Blackwell Arroyo from source to the confl. with Luning Arroyo. MS of San Isidro Ck from source to the confl. with San Francisco Ck.","Deadman Creek/Gulch and Its tributaries","Salt Creek and tributaries below lake and reservoir, including Mack Wash.","Adobe Creek, Leach Creek and tributaries below canal.","Indian Wash","Dry Creek and all tributaries.","Mainstem of Sand Creek from the confluence of Murphy and Coal Creek in Arapahoe County to the confluence with the South Platte River.","All tributaries to the South Platte River, including all wetlands, from the outlet of Chatfield Reservoir, to a point immediately below the confluence with Big Dry Creek, except for specific listings in the subbasins of the South Platte River, and in Segments 16a, 16d, 16e, 16f, 16g, 16h, 16i, 16j, and 16k.","Big Sandy Creek within Prowers County","Unnamed tributary to the Colorado River from its source to its confluence with the Colorado River near 39.081, -108.592","All tributaries to the Colorado River from Government Highline Canal Diversion to below Salt Creek, and downgradient from Government Highline Canal, Orchard Mesa Canal No. 2, Orchard Mesa Drain, Stub Ditch and northeast Colorado National Monument boundar","Mainstem of Coal Creek from Rock Creek to Boulder Creek","Mainstem of Boxelder Creek from its source to immediatly above Slab Canyon.","Mainstem of Boxelder Creek from a point immediately above Slab Canyon Wash to the confluence with the Cache La Poudre River.","Mainstem Sand Creek from the confluence with Westerly Creek to the confluence with the South Platte River.","North, South and mainstem of Dry Fork including tributaries","Goldsmith Gulch","Upper Windmill Creek","Mainstem of Fourmile Creek, including all tributaries and wetlands, from the confluence with Long Gulch to the confluence with the Arkansas River.","Mainstem of Jay Creek.","Mainstem of Leroux Creek from the forest to the confluence with North Fork of the Gunnison River.","Cottonwood Creek","Alkali Slough and its tributaries","Sand Creek (near Colorado Springs), including all tributaries and wetlands.","Little Fountain Creek, including all tributaries and wetlands, from immediately below Deadman Canyon to the confluence with Fountain Creek.","Big Gulch","Short Draw","Bell Creek and its tributaries","Mainstems, tributaries, and wetlands of Bear, Reynolds, Bell, McDonald, Cow, Denver, German and Miller Creeks; and Love, Stevens, Big and Stingley Gulches that are not within national forest boundaries, from the source to the North Fork of the Gunnison River, excluding the specific listings in Segments 5a and 5b.","Whitewater Creek from below Brandon Ditch to confluence with Gunnison River","Whitewater Creek from below Brandon Ditch to confluence with Gunnison River","Whitewater Creek from below Brandon Ditch to confluence with Gunnison River","Wells Gulch","Wells Gulch","Mainstem of the Uncompahgre River from Gunnison Road to the upstream boundary of Confluence Park.","Mainstem of the Uncompahgre River from the upstream boundary of Confluence Park to the confluence with the Gunnison River.","Stinking Gulch and tributaries","Mainstem of Boggs Creek from the source to Pueblo Reservoir.","Mainstem of Boggs Creek from the source to Pueblo Reservoir.","Wells Gulch","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","Mainstem of the Arkansas River from the Colorado Canal headgate to the inlet to John Martin Reservoir.","Mainstem of the Arkansas River from the outlet of John Martin Reservoir to the Colorado/Kansas border.","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to Dry Creek, including wetlands, from the source to the inlet of Boulder Reservior.","Dry Creek","All tributaries to the Arkansas River, including wetlands, from the Colorado Canal headgate to the Colorado/Kansas border except for specific listings in segments 2b, 2c, 2d, 3a through 9b, and Middle Arkansas Basin listings.","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","Humphrey Backwater area","Sage Creek and tribs below Routt County Road 51D","Mainstem of Timpas Creek from the source to the Arkansas River.","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","All tributaries to the Gunnison River, including all wetlands, to which a TMDL does apply and which are not within national forest boundaries, from the outlet of Crystal Reservoir to the confluence with the Colorado River, except for specific listings in","Tributaries to Colorado River, Roaring Fork to Parachute Creek, except for Mamm Creek and Alkali Creek","Mamm Creek","Mamm Creek","Alkali Creek","Gilson Gulch and its tributaries.","Planning Unit: Estero Bay","Little Ogeechee Pond to 1.6 miles downstream US Hwy 17 near Burroughs","Headwaters to Cubbage Creek","Liberty, Chatham and Bryan Counties","Headwaters to the Duplin River","Headwaters to the Turtle River (Brunswick)","Brunswick","South Brunswick River to East River","East River to St. Simons Sound","mouth to West Branch Floyd R. in S2 T91N R46W Plymouth Co.","mouth (S17 T83N R44W Monona Co.) to confluence with unnamed tributary approximately 1 mile east of Danbury in SW 1/4 NE 1/4 S26 T86N R42W Woodbury Co.","mouth (S17 T80N R45W Harrison Co.) to confluence with Jordan Cr. in S16 T82N R43W Monona Co.","mouth (S12 T84N R45W Monona Co.) to confluence with a small unnamed tributary near Climbing Hill in S16 T87N R45W Woodbury Co.","from confluence with Willow Cr. (S28 T78N R44W Harrison Co.)  to the Harrison-Crawford county line.","from confluence Brule Cr. near Richland SD (S33 T92N R49W Plymouth Co.) to confluence with Indian Cr. in S9 T93N R48W Plymouth Co.","HUC 11060005;Lower Arkansas","HUC 10260002;Smoky Hill-Saline;Segment 1","HUC 10260009;Smoky Hill-Saline;Segment 8","HUC 10260011;Solomon;Segment 6","HUC 10260013;Solomon;Segment 4","HUC 10260002;Smoky Hill-Saline;Segment 3","HUC 10260006;Smoky Hill-Saline;Segment 6","HUC 10260014;Solomon;Segment 4","HUC 10250011;Upper Republican;Segment 4","HUC 10260006;Smoky Hill-Saline;Segment 7","HUC 10260009;Smoky Hill-Saline;Segment 9","HUC 10260011;Solomon;Segment 7","HUC 10260014;Solomon;Segment 6","HUC 10250001;Upper Republican;Segment 1","HUC 10250011;Upper Republican;Segment 5","HUC 10260003;Smoky Hill-Saline;Segment 9","HUC 10260006;Smoky Hill-Saline;Segment 9","HUC 10260011;Solomon;Segment 8","HUC 10260014;Solomon;Segment 5","HUC 10250011;Upper Republican;Segment 9","HUC 10260011;Solomon;Segment 9","HUC 10260013;Solomon;Segment 5","HUC 10260004;Smoky Hill-Saline;Segment 1","HUC 10260007;Smoky Hill-Saline;Segment 1","HUC 10260012;Solomon;Segment 2","HUC 10260013;Solomon;Segment 6","HUC 10260004;Smoky Hill-Saline;Segment 2","HUC 10260007;Smoky Hill-Saline;Segment 2","HUC 10260010;Smoky Hill-Saline;Segment 3","HUC 10260013;Solomon;Segment 8","HUC 10260004;Smoky Hill-Saline;Segment 4","HUC 10260007;Smoky Hill-Saline;Segment 3","HUC 10260010;Smoky Hill-Saline;Segment 4","HUC 10260012;Solomon;Segment 3","HUC 10260010;Smoky Hill-Saline;Segment 5","HUC 10260012;Solomon;Segment 4","HUC 10260013;Solomon;Segment 9","HUC 10260004;Smoky Hill-Saline;Segment 5","HUC 10260007;Smoky Hill-Saline;Segment 4","HUC 10260005;Smoky Hill-Saline;Segment 3","HUC 10260007;Smoky Hill-Saline;Segment 5","HUC 10260014;Solomon;Segment 3","HUC 10260001;Smoky Hill-Saline;Segment 1","HUC 10260005;Smoky Hill-Saline;Segment 4","HUC 10260007;Smoky Hill-Saline;Segment 6","HUC 10260001;Smoky Hill-Saline;Segment 2","HUC 10260007;Smoky Hill-Saline;Segment 7","HUC 10260009;Smoky Hill-Saline;Segment 5","HUC 10260012;Solomon;Segment 7","HUC 10260001;Smoky Hill-Saline;Segment 5","HUC 10260005;Smoky Hill-Saline;Segment 5","HUC 10260007;Smoky Hill-Saline;Segment 8","HUC 10260012;Solomon;Segment 8","HUC 10250010;Upper Republican;Segment 2","HUC 10260005;Smoky Hill-Saline;Segment 8","HUC 10260009;Smoky Hill-Saline;Segment 6","HUC 10260010;Smoky Hill-Saline;Segment 9","HUC 10260012;Solomon;Segment 9","HUC 10250011;Upper Republican;Segment 3","HUC 10250015;Upper Republican;Segment 8","HUC 10260006;Smoky Hill-Saline;Segment 5","HUC 10260007;Smoky Hill-Saline;Segment 9","HUC 10260009;Smoky Hill-Saline;Segment 7","HUC 10260011;Solomon;Segment 5","HUC 11030001;Upper Arkansas;Segment 5","HUC 11030004;Upper Arkansas;Segment 9","HUC 11030008;Upper Arkansas;Segment 6","HUC 11030001;Upper Arkansas;Segment 9","HUC 11030005;Upper Arkansas;Segment 1","HUC 11030017;Walnut;Segment 2","HUC 11030008;Upper Arkansas;Segment 7","HUC 11030007;Upper Arkansas;Segment 1","HUC 11030008;Upper Arkansas;Segment 8","HUC 11030017;Walnut;Segment 3","HUC 11030007;Upper Arkansas;Segment 4","HUC 11030008;Upper Arkansas;Segment 9","HUC 11030011;Lower Arkansas;Segment 1","HUC 11040002;Cimarron;Segment 1","HUC 11030003;Upper Arkansas;Segment 1","HUC 11040003;Cimarron;Segment 1","HUC 11030004;Upper Arkansas;Segment 1","HUC 11030007;Upper Arkansas;Segment 5","HUC 11040006;Cimarron;Segment 1","HUC 11030007;Upper Arkansas;Segment 6","HUC 11030004;Upper Arkansas;Segment 2","HUC 11030007;Upper Arkansas;Segment 7","HUC 11040006;Cimarron;Segment 2","HUC 11030004;Upper Arkansas;Segment 3","HUC 11030004;Upper Arkansas;Segment 4","HUC 11030008;Upper Arkansas;Segment 1","HUC 11030008;Upper Arkansas;Segment 2","HUC 11030010;Lower Arkansas;Segment 1","HUC 11030004;Upper Arkansas;Segment 6","HUC 11030008;Upper Arkansas;Segment 3","HUC 10260014;Solomon;Segment 7","HUC 11030001;Upper Arkansas;Segment 1","HUC 11030004;Upper Arkansas;Segment 7","HUC 11030010;Lower Arkansas;Segment 3","HUC 10260014;Solomon;Segment 8","HUC 11030004;Upper Arkansas;Segment 8","HUC 11030008;Upper Arkansas;Segment 4","HUC 11030010;Lower Arkansas;Segment 4","HUC 11030001;Upper Arkansas;Segment 3","HUC 11030008;Upper Arkansas;Segment 5","HUC 11030010;Lower Arkansas;Segment 5","HUC 10250016;Kansas-Lower Republican;Segment 47","HUC 10250016;Kansas-Lower Republican;Segment 68","HUC 10250011;Upper Republican;Segment 17","HUC 10250016;Kansas-Lower Republican;Segment 48","HUC 10250015;Upper Republican;Segment 10","HUC 10250016;Kansas-Lower Republican;Segment 72","HUC 10250017;Kansas-Lower Republican;Segment 37","HUC 10250015;Upper Republican;Segment 11","HUC 10250016;Kansas-Lower Republican;Segment 49","HUC 10250016;Kansas-Lower Republican;Segment 50","HUC 10250015;Upper Republican;Segment 12","HUC 10250016;Kansas-Lower Republican;Segment 51","HUC 10240007;Missouri;Segment 30","HUC 10250017;Kansas-Lower Republican;Segment 29","HUC 10250016;Kansas-Lower Republican;Segment 60","HUC 10250017;Kansas-Lower Republican;Segment 30","HUC 10250017;Kansas-Lower Republican;Segment 34","HUC 10240007;Missouri;Segment 16","HUC 10250011;Upper Republican;Segment 11","HUC 10250011;Upper Republican;Segment 12","HUC 10250016;Kansas-Lower Republican;Segment 65","HUC 10250011;Upper Republican;Segment 13","HUC 10250016;Kansas-Lower Republican;Segment 45","HUC 10250016;Kansas-Lower Republican;Segment 66","HUC 10250011;Upper Republican;Segment 15","HUC 10250016;Kansas-Lower Republican;Segment 46","HUC 10250016;Kansas-Lower Republican;Segment 67","HUC 10250011;Upper Republican;Segment 16","HUC 10260009;Smoky Hill-Saline;Segment 23","HUC 10260010;Smoky Hill-Saline;Segment 31","HUC 10260003;Smoky Hill-Saline;Segment 12","HUC 10260003;Smoky Hill-Saline;Segment 26","HUC 10260006;Smoky Hill-Saline;Segment 15","HUC 10260009;Smoky Hill-Saline;Segment 10","HUC 10260009;Smoky Hill-Saline;Segment 25","HUC 10260011;Solomon;Segment 12","HUC 10260003;Smoky Hill-Saline;Segment 13","HUC 10260003;Smoky Hill-Saline;Segment 28","HUC 10260006;Smoky Hill-Saline;Segment 29","HUC 10260006;Smoky Hill-Saline;Segment 43","HUC 10260009;Smoky Hill-Saline;Segment 27","HUC 10260011;Solomon;Segment 13","HUC 10260012;Solomon;Segment 22","HUC 10260003;Smoky Hill-Saline;Segment 29","HUC 10260006;Smoky Hill-Saline;Segment 16","HUC 10260006;Smoky Hill-Saline;Segment 30","HUC 10260009;Smoky Hill-Saline;Segment 11","HUC 10260010;Smoky Hill-Saline;Segment 33","HUC 10260011;Solomon;Segment 15","HUC 10260012;Solomon;Segment 21","HUC 10260003;Smoky Hill-Saline;Segment 14","HUC 10260006;Smoky Hill-Saline;Segment 18","HUC 10260006;Smoky Hill-Saline;Segment 31","HUC 10260006;Smoky Hill-Saline;Segment 44","HUC 10260009;Smoky Hill-Saline;Segment 12","HUC 10260009;Smoky Hill-Saline;Segment 29","HUC 10260010;Smoky Hill-Saline;Segment 34","HUC 10260012;Solomon;Segment 14","HUC 10260003;Smoky Hill-Saline;Segment 15","HUC 10260003;Smoky Hill-Saline;Segment 37","HUC 10260009;Smoky Hill-Saline;Segment 13","HUC 10260010;Smoky Hill-Saline;Segment 35","HUC 10260011;Solomon;Segment 20","HUC 10260012;Solomon;Segment 15","HUC 10260003;Smoky Hill-Saline;Segment 16","HUC 10260006;Smoky Hill-Saline;Segment 19","HUC 10260006;Smoky Hill-Saline;Segment 32","HUC 10260006;Smoky Hill-Saline;Segment 46","HUC 10260010;Smoky Hill-Saline;Segment 10","HUC 10260010;Smoky Hill-Saline;Segment 36","HUC 10260011;Solomon;Segment 21","HUC 10260012;Solomon;Segment 16","HUC 10260003;Smoky Hill-Saline;Segment 17","HUC 10260003;Smoky Hill-Saline;Segment 38","HUC 10260006;Smoky Hill-Saline;Segment 20","HUC 10260006;Smoky Hill-Saline;Segment 33","HUC 10260009;Smoky Hill-Saline;Segment 14","HUC 10260010;Smoky Hill-Saline;Segment 11","HUC 10260011;Solomon;Segment 22","HUC 10250017;Kansas-Lower Republican;Segment 68","HUC 10260003;Smoky Hill-Saline;Segment 39","HUC 10260006;Smoky Hill-Saline;Segment 21","HUC 10260006;Smoky Hill-Saline;Segment 34","HUC 10260009;Smoky Hill-Saline;Segment 15","HUC 10260010;Smoky Hill-Saline;Segment 12","HUC 10260010;Smoky Hill-Saline;Segment 37","HUC 10260011;Solomon;Segment 23","HUC 10260012;Solomon;Segment 17","HUC 10260001;Smoky Hill-Saline;Segment 17","HUC 10260003;Smoky Hill-Saline;Segment 19","HUC 10260003;Smoky Hill-Saline;Segment 40","HUC 10260009;Smoky Hill-Saline;Segment 16","HUC 10260011;Solomon;Segment 24","HUC 10260012;Solomon;Segment 18","HUC 10250017;Kansas-Lower Republican;Segment 54","HUC 10260001;Smoky Hill-Saline;Segment 18","HUC 10260003;Smoky Hill-Saline;Segment 20","HUC 10260006;Smoky Hill-Saline;Segment 22","HUC 10260006;Smoky Hill-Saline;Segment 36","HUC 10260010;Smoky Hill-Saline;Segment 13","HUC 10260011;Solomon;Segment 25","HUC 10260012;Solomon;Segment 19","HUC 10250017;Kansas-Lower Republican;Segment 55","HUC 10260004;Smoky Hill-Saline;Segment 12","HUC 10260006;Smoky Hill-Saline;Segment 23","HUC 10260009;Smoky Hill-Saline;Segment 18","HUC 10260010;Smoky Hill-Saline;Segment 14","HUC 10260012;Solomon;Segment 20","HUC 10260001;Smoky Hill-Saline;Segment 19","HUC 10260003;Smoky Hill-Saline;Segment 21","HUC 10260006;Smoky Hill-Saline;Segment 10","HUC 10260006;Smoky Hill-Saline;Segment 24","HUC 10260006;Smoky Hill-Saline;Segment 38","HUC 10260008;Smoky Hill-Saline;Segment 25","HUC 10260009;Smoky Hill-Saline;Segment 19","HUC 10260011;Solomon;Segment 28","HUC 10260001;Smoky Hill-Saline;Segment 20","HUC 10260003;Smoky Hill-Saline;Segment 23","HUC 10260006;Smoky Hill-Saline;Segment 11","HUC 10260006;Smoky Hill-Saline;Segment 39","HUC 10260009;Smoky Hill-Saline;Segment 20","HUC 10260012;Solomon;Segment 10","HUC 10260001;Smoky Hill-Saline;Segment 21","HUC 10260003;Smoky Hill-Saline;Segment 24","HUC 10260006;Smoky Hill-Saline;Segment 25","HUC 10260006;Smoky Hill-Saline;Segment 40","HUC 10260008;Smoky Hill-Saline;Segment 26","HUC 10260010;Smoky Hill-Saline;Segment 16","HUC 10260011;Solomon;Segment 10","HUC 10260012;Solomon;Segment 11","HUC 10260003;Smoky Hill-Saline;Segment 11","HUC 10260006;Smoky Hill-Saline;Segment 12","HUC 10260006;Smoky Hill-Saline;Segment 27","HUC 10260008;Smoky Hill-Saline;Segment 27","HUC 10260009;Smoky Hill-Saline;Segment 21","HUC 10260010;Smoky Hill-Saline;Segment 30","HUC 10260011;Solomon;Segment 11","HUC 10260012;Solomon;Segment 13","HUC 10260003;Smoky Hill-Saline;Segment 25","HUC 10260006;Smoky Hill-Saline;Segment 13","HUC 10260006;Smoky Hill-Saline;Segment 28","HUC 10260006;Smoky Hill-Saline;Segment 41","HUC 10260012;Solomon;Segment 27","HUC 10260014;Solomon;Segment 17","HUC 10260015;Solomon;Segment 19","HUC 10260012;Solomon;Segment 28","HUC 10260013;Solomon;Segment 13","HUC 10260014;Solomon;Segment 18","HUC 10260015;Solomon;Segment 21","HUC 10260015;Solomon;Segment 41","HUC 10260013;Solomon;Segment 14","HUC 10260014;Solomon;Segment 19","HUC 10260015;Solomon;Segment 22","HUC 10260012;Solomon;Segment 29","HUC 10260013;Solomon;Segment 15","HUC 10270102;Kansas-Lower Republican;Segment 60","HUC 10260012;Solomon;Segment 30","HUC 10260014;Solomon;Segment 20","HUC 10260015;Solomon;Segment 23","HUC 10260012;Solomon;Segment 31","HUC 10260013;Solomon;Segment 16","HUC 10260014;Solomon;Segment 21","HUC 10260013;Solomon;Segment 17","HUC 10260014;Solomon;Segment 29","HUC 10260012;Solomon;Segment 34","HUC 10260013;Solomon;Segment 18","HUC 10260012;Solomon;Segment 37","HUC 10260013;Solomon;Segment 19","HUC 10260012;Solomon;Segment 38","HUC 10260015;Solomon;Segment 12","HUC 10260012;Solomon;Segment 39","HUC 10260013;Solomon;Segment 21","HUC 10260015;Solomon;Segment 13","HUC 10260013;Solomon;Segment 24","HUC 10260012;Solomon;Segment 23","HUC 10260012;Solomon;Segment 40","HUC 10260014;Solomon;Segment 10","HUC 10260015;Solomon;Segment 14","HUC 10260012;Solomon;Segment 44","HUC 10260014;Solomon;Segment 13","HUC 10260015;Solomon;Segment 16","HUC 10260012;Solomon;Segment 24","HUC 10260013;Solomon;Segment 11","HUC 10260015;Solomon;Segment 18","HUC 10260012;Solomon;Segment 25","HUC 10260013;Solomon;Segment 12","HUC 10260014;Solomon;Segment 16","HUC 10260015;Solomon;Segment 36","HUC 10270205;Kansas-Lower Republican;Segment 21","HUC 10270205;Kansas-Lower Republican;Segment 22","HUC 10270205;Kansas-Lower Republican;Segment 42","HUC 11030011;Lower Arkansas;Segment 22","HUC 11030012;Lower Arkansas;Segment 21","HUC 11030007;Upper Arkansas;Segment 12","HUC 11030012;Lower Arkansas;Segment 10","HUC 11030008;Upper Arkansas;Segment 10","HUC 11030012;Lower Arkansas;Segment 22","HUC 11030013;Lower Arkansas;Segment 17","HUC 11030013;Lower Arkansas;Segment 29","HUC 11030008;Upper Arkansas;Segment 11","HUC 11030012;Lower Arkansas;Segment 11","HUC 11030012;Lower Arkansas;Segment 23","HUC 11030012;Lower Arkansas;Segment 12","HUC 11030012;Lower Arkansas;Segment 24","HUC 11030008;Upper Arkansas;Segment 12","HUC 11030008;Upper Arkansas;Segment 14","HUC 11030012;Lower Arkansas;Segment 13","HUC 11030012;Lower Arkansas;Segment 25","HUC 11030001;Upper Arkansas;Segment 18","HUC 11030008;Upper Arkansas;Segment 15","HUC 11030012;Lower Arkansas;Segment 14","HUC 11030004;Upper Arkansas;Segment 10","HUC 11030004;Upper Arkansas;Segment 11","HUC 11030011;Lower Arkansas;Segment 18","HUC 11030013;Lower Arkansas;Segment 24","HUC 11030004;Upper Arkansas;Segment 14","HUC 11030011;Lower Arkansas;Segment 19","HUC 11030004;Upper Arkansas;Segment 15","HUC 11030012;Lower Arkansas;Segment 19","HUC 11030013;Lower Arkansas;Segment 26","HUC 11030012;Lower Arkansas;Segment 20","HUC 11030013;Lower Arkansas;Segment 27","HUC 11030007;Upper Arkansas;Segment 10","HUC 11030017;Walnut;Segment 16","HUC 11030017;Walnut;Segment 41","HUC 11070103;Verdigris;Segment 27","HUC 11070103;Verdigris;Segment 29","HUC 11070103;Verdigris;Segment 50","HUC 11030017;Walnut;Segment 213","HUC 10260014;Solomon;Segment 363","HUC 10250017;Kansas-Lower Republican;Segment 9037","HUC 10260001;Smoky Hill-Saline;Segment 311","HUC 10260012;Solomon;Segment 9019","HUC 11030011;Lower Arkansas;Segment 1755","HUC 10260012;Solomon;Segment 9024","HUC 10260013;Solomon;Segment 9018","HUC 10260009;Smoky Hill-Saline;Segment 1061","HUC 11030001;Upper Arkansas;Segment 9001","HUC 10260012;Solomon;Segment 9004","HUC 11030004;Upper Arkansas;Segment 9013","Confluence with Blair Branch to source","Reservoir to source (confluence of Blair Branch and Black John Branch)","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek upstream of M35 North of Palmer","Includes: Warner Creek upstream of M35 North of Palmer","Includes: Warner Creek upstream of M35 North of Palmer","Includes: East Branch Escanaba River, Halfway Creek, O'Neal Creek and Uncle Tom Creek","Includes: East Branch Escanaba River, Halfway Creek, O'Neal Creek and Uncle Tom Creek","Includes: Bear Creek, Flopper Creek and Middle Branch Escanaba River","Includes: Bear Creek, Flopper Creek and Middle Branch Escanaba River","Includes: Bear Creek, Flopper Creek and Middle Branch Escanaba River","Includes: Ely Creek, Green Creek and Schweitzer Creek","Includes: Ely Creek, Green Creek and Schweitzer Creek","Includes: Ely Creek, Green Creek and Schweitzer Creek","Includes: Goose Lake Outlet","Includes: Goose Lake Outlet","Includes: Goose Lake Outlet","SE of Neguanee and Ishpeming.","SE of Neguanee and Ishpeming.","SE of Neguanee and Ishpeming.","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: Goose Lake Inlet","Includes: East Branch Escanaba River and Fifteen Creek","Includes: East Branch Escanaba River and Fifteen Creek","Includes: East Branch Escanaba River and Fifteen Creek","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Warner Creek downstream of M35 North of Palmer","Includes: Escanaba River and Swimming Hole Creek","Includes: Escanaba River and Swimming Hole Creek","Escanaba River impoundment. Delta Co","Escanaba River impoundment. Delta Co","Includes: Newton Creek","Includes: Newton Creek","Includes: Newton Creek","Includes: Newton Creek","English Coulee from its confluence with a tributary upstream from Grand Forks, ND downstream to its confluence with the Red River Of The North (Lower Reach).","English Coulee from its confluence with a tributary upstream from Grand Forks, ND downstream to its confluence with the Red River Of The North (Lower Reach).","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","Forest River from its confluence with South Branch Forest River, downstream to its confluence with a tributary near Highway 18.","English Coulee from its confluence with a major control structure, downstream to its confluence with a tributary that is upstream from Grand Forks, ND (Middle Reach).","English Coulee from its headwaters, downstream to a major control structure.","Pembina River from its confluence with the Tongue River downstream to its confluence with the Red River of the North.","Unnamed tributaries to Sprague Lake from the ND-SD border including outflow from Sprague Lake downstream to Wild Rice River.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Unnamed tributaries to the Elm River (ND-09020107-006-S_00).","South Branch Turtle River downstream to Larimore Dam.","South Branch Turtle River downstream to Larimore Dam.","South Branch Turtle River downstream to Larimore Dam.","South Branch Turtle River downstream to Larimore Dam.","South Branch Turtle River downstream to Larimore Dam.","South Branch Turtle River downstream to Larimore Dam.","Tongue River from Renwick Dam, downstream to a tributary N.E. of Cavalier, ND.","Turtle River from its confluence with Salt Water Coulee, downstream to its confluence with the Red River Of The North.","Turtle River from its confluence with Salt Water Coulee, downstream to its confluence with the Red River Of The North.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Pembina River from its confluence with a tributary west of Neche, ND downstream to its confluence with the Tongue River.","Park River from its confluence with Salt Lake Outlet (ND-09020310-009-S_00), downstream to its confluence with the Red River Of The North.","Turtle River from its confluence with Kelly Slough, downstream to its confluence with Salt Water Coulee.","Turtle River from its confluence with Kelly Slough, downstream to its confluence with Salt Water Coulee.","Salt Water Coulee from its confluence with Fresh Water Coulee downstream to its confluence with the Turtle River.","Park River from its confluence with a tributary east of Grafton, ND (ND-09020310-012-S_00), downstream to its confluence with the outlet from Salt Lake (ND-09020310-009-S_00).","Pembina River from its confluence with Little South Pembina River, downstream to its confluence with a  tributary N.E. of Walhalla, ND.","Pembina River from its confluence with Little South Pembina River, downstream to its confluence with a  tributary N.E. of Walhalla, ND.","Pembina River from its confluence with Little South Pembina River, downstream to its confluence with a  tributary N.E. of Walhalla, ND.","Park River from the confluence of the South Branch Park River and the Middle Branch Park River, downstream to its confluence with a tributary east of Grafton, ND (ND-09020310-012-S_00).","Kelly Slough from the control structure at Kelly Slough National Wildlife Refuge downstream to its confluence with the Turtle River","Unnamed tributary watershed to the Forest River (ND-09020308-007-S)","Unnamed tributaries to the Middle and Lower Des Lacs Lakes (Reach ID: ND-09010002-003-S_00).  Located in NW Ward County.","Howe Creek to Missouri River","Big Slough Creek to Elkhorn River","Big Slough Creek to Elkhorn River","From its origin to the North Fork Humboldt River","From its origin to the North Fork Humboldt River","From its origin to the North Fork Humboldt River","From its origin to the North Fork Humboldt River","The entire lake","The entire reservoir","The entire reservoir","The entire reservoir","The entire reservoir","From its origin to the Truckee River","From its origin to the Truckee River","From its origin to the Truckee River","From its origin to the Truckee River","From its origin to Duck Creek","From its origin to Duck Creek","From its origin to Duck Creek","From the waste rock dump to the North Fork Humboldt River","From the waste rock dump to the North Fork Humboldt River","From the waste rock dump to the North Fork Humboldt River","From the waste rock dump to the North Fork Humboldt River","From the waste Rock Dump to the North Fork Humboldt River","From the waste Rock Dump to the North Fork Humboldt River","From the waste Rock Dump to the North Fork Humboldt River","From the waste Rock Dump to the North Fork Humboldt River","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","Above treatment Plants","Above treatment Plants","Above treatment Plants","From its origin to Las Vegas Wash","From its origin to Humboldt River","From its origin to Humboldt River","From its origin to Humboldt River","From its origin to Humboldt River","From the waste rock dump to North Fork Humboldt River","From the waste rock dump to North Fork Humboldt River","From the waste rock dump to North Fork Humboldt River","From the waste rock dump to North Fork Humboldt River","From North Las Vegas Blvd to Las Vegas Wash","From North Las Vegas Blvd to Las Vegas Wash","From North Las Vegas Blvd to Las Vegas Wash","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","From its origin to Las Vegas Wash","From Rodgers Dam to the Humboldt Sink","From Rodgers Dam to the Humboldt Sink","From Rodgers Dam to the Humboldt Sink","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","Information Not Available","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17010104","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","Includes Pole Canyon Creek","Includes Pole Canyon Creek","Includes Pole Canyon Creek","Includes Pole Canyon Creek","Includes Pole Canyon Creek","Includes Pole Canyon Creek","Includes Pole Canyon Creek","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","HUC: 17040105","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","Confluence of Lanes and Diamond Creeks to Blackfoot Reservoir","Confluence of Lanes and Diamond Creeks to Blackfoot Reservoir","Confluence of Lanes and Diamond Creeks to Blackfoot Reservoir","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to headwaters","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","Historic confluence with East Mill Creek to mouth","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 16010201","HUC: 17040207","HUC: 17040207","HUC 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","17040105","17040105","17040105","17040105","17040105","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","Tributary was previously referred to as West Fork Sheep Creek and South Rasmussen drainage","Tributary was previously referred to as West Fork Sheep Creek and South Rasmussen drainage","Tributary was previously referred to as West Fork Sheep Creek and South Rasmussen drainage","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","HUC: 17040207","Main stem, Rt. 224 (Bridge St.) bridge in Sanford to Number One Pond Dam","Main stem, Rt. 224 (Bridge St.) bridge in Sanford to Number One Pond Dam","Main stem, Rt. 224 (Bridge St.) bridge in Sanford to Number One Pond Dam","Main stem, Number One Pond Dam in Sanford to Estes Lake","Main stem, Number One Pond Dam in Sanford to Estes Lake","Main stem, Number One Pond Dam in Sanford to Estes Lake","ELK CREEK, headwaters to mouth (Madison River)","MONTANA GULCH, headwaters to mouth (Rock Creek)","ALDER GULCH, headwaters to mouth (Ruby Creek), T26N R25E S16","RUBY CREEK, Un-Named tributary T25N R25E S21 to mouth (CK Creek)","RUBY GULCH, headwaters to confluence of Alder Gulch, T25N R25E S21","ROCK CREEK, headwaters to mouth (Missouri River)","MILL GULCH, headwaters to mouth (Rock Creek)","MILL GULCH, headwaters to mouth (Rock Creek)","LAKE BOWDOIN","LAKE BOWDOIN","SULLIVAN CREEK, headwaters to mouth (Rock Creek)","BIG COULEE CREEK, confluence of North and South Forks Big Coulee Creek to mouth (Musselshell River)","PEET CREEK, headwaters to mouth (Red Rock River)","PEET CREEK, headwaters to mouth (Red Rock River)","FLATWILLOW CREEK, Highway 87 bridge to mouth (Musselshell River)","KING CREEK, headwaters to Fort Belknap Reservation boundary","KING CREEK, headwaters to Fort Belknap Reservation boundary","GERMAN GULCH, headwaters to mouth (Silver Bow Creek)","MISSOURI RIVER, Sun River to Rainbow Dam","O'BRIEN CREEK, North Dakota border to mouth (Yellowstone River)","MUDDY CREEK, headwaters to mouth (Sun River)","LAKE CREEK, headwaters to mouth (Benton Lake)","GLENDIVE CREEK, headwaters to mouth (Yellowstone River)","CEDAR CREEK, tributary confluence at 12N 57E S35 to tributary confluence at 13N 56E S27","LAKE KOOCANUSA","FREEZEOUT LAKE","FREEZEOUT LAKE","BENTON LAKE","BENTON LAKE","SPIDEL WATERFOWL PRODUCTION AREA","SPIDEL WATERFOWL PRODUCTION AREA","COFFEE CREEK, headwaters to mouth (Arrow Creek)","WOLF CREEK, Dry Wolf Creek to mouth (Judith River)","LAST CHANCE CREEK, headwaters to mouth (Moccasin Creek)","BIG TIMBER CREEK, headwaters downstream to Swamp Creek","BIG TIMBER CREEK, headwaters downstream to Swamp Creek","PRIEST BUTTE LAKE","PRIEST BUTTE LAKE","HUC: 11110105","HUC: 11110105","HUC: 11090203","SH 79, Waurika. Permanent ambient trend site BUMP(OWRB).","SH 79, Waurika. Permanent ambient trend site BUMP(OWRB).","SH 79, Waurika. Permanent ambient trend site BUMP(OWRB).","US 62, headrick.","US 62, headrick.","SH 79, Waurika. Permanent ambient trend site BUMP(OWRB).","US 62, headrick.","SH 6, ElDorado. Permanent ambient trend site BUMP(OWRB).","SH 6, ElDorado. Permanent ambient trend site BUMP(OWRB).","Terral BUMP site","Terral BUMP site","Terral BUMP site","Terral BUMP site","HUC: 11130208","SH 74, Lovell. Permanent ambient trend site BUMP(OWRB).","US 183, Davidson. Permanent ambient trend site BUMP(OWRB),","US 183, Davidson. Permanent ambient trend site BUMP(OWRB),","off US 283, Elmer. Permanent ambient trend site BUMP(OWRB).","off US 283, Elmer. Permanent ambient trend site BUMP(OWRB).","off US 283, Elmer. Permanent ambient trend site BUMP(OWRB).","off US 283, Elmer. Permanent ambient trend site BUMP(OWRB).","off US 283, Elmer. Permanent ambient trend site BUMP(OWRB).","HUC: 11140104","HUC: 11140104","off US 64, Mocane","off US 64, Mocane","HUC: 11100302","SH 23 Beaver.","SH 23 Beaver.","SH 5B, Taylor. Permanent ambient trend site BUMP(OWRB).","off US 183, Hobart","off US 183, Hobart","SH 5B, Taylor. Permanent ambient trend site BUMP(OWRB).","SH 5B, Taylor. Permanent ambient trend site BUMP(OWRB).","SH 5B, Taylor. Permanent ambient trend site BUMP(OWRB).","SH 6 near Granite","SH 6 near Granite","SH 6 near Granite","SH 6 near Granite","SH 6 Near Carl","SH 6 Near Carl","SH 6 Near Carl","US HW 77, Guthrie","35-24N-16W.","SH 3, Bryan's Corner","SH 3, Bryan's Corner","SHwy 32","HUC: 11090202","HUC: 11090202","US 81 near Dover","US 81 near Dover","HUC: 11050003","Upstream of the confluence with Cooper Creek Split August 2006 as per request of OWRB","Jackson County","Unnamed Trib to Vick Creek from Vick Creek to headwaters.   Ecoregion 71f    Cheatham County","Arrow Lake on Sugar Creek u/s of Mt. Pleasant.   Ecoregion 71h   Maury County","Birch Spring Draw and tributaries from Flaming Gorge Reservoir to headwaters","Birch Spring Draw and tributaries from Flaming Gorge Reservoir to headwaters","Price River and tributaries (excluding Gordon Creeka nd Pinnacle Wash) from Coal Creek confluence to Carbon Canal Diversion","Price River and tributaries (excluding Gordon Creeka nd Pinnacle Wash) from Coal Creek confluence to Carbon Canal Diversion","Bitter Creek and tributaries from White River confluence to start of perennial stream (excluding Sweetwater Creek)","Sixth Water Creek and tributaries except Fifth Water and First Water Creeks and tributaries from confluence with Diamond Fork Creek to headwaters","Butterfield Creek and tributaries from confluence with Jordan River to headwaters","Stewart Lake","Antelope Creek and tributaries from Duchesne River confluence to headwaters","Huntington Creek and tributaries from confluence with Cottonwood Creek to Highway 10","Ashley Creek and tributaries from Green River confluence to Vernal sewage lagoons","Ashley Creek and tributaries from Green River confluence to Vernal sewage lagoons","Westwater Creek and tributaries from confluence with Cottonwood Wash to headwaters","Colorado River from HUC 14010005-14030001 boundary to Colorado State Line","Ashley Creek and tributaries from Vernal sewage lagoons to Dry Fork confluence","Brush Creek and tributaries from confluence with Green River to Red Fleet Dam but excluding Little Brush Creek","Colorado River from Dolores River confluence to HUC 14010005 boundary","Green River from Duchesne River confluence to Utah-Wyoming border","Undefined","Undefined","Colorado River from Green River confluence to Moab","Colorado River from Moab to HUC unit (14030005) boundary","Kanab Creek and tributaries from the confluence with Fourmile Hollow near the White Cliffs to Reservoir Canyon","Kanab Creek and tributaries from the confluence with Fourmile Hollow near the White Cliffs to Reservoir Canyon","Pack Creek and tributaries from the confluence with Mill Creek to USFS boundary","Pariette Draw Creek and tributaries from Green River confluence to headwaters","Pariette Draw Creek and tributaries from Green River confluence to headwaters","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Mouth to RM 4.2","Mouth to RM 4.2","RM 27.8 to HW","Entire length","Entire length","Entire length","Entire length","RM 27.8 to HW","RM 25.2 to RM 27.8","RM 25.2 to RM 27.8","RM 20.2 to RM 25.2","RM 20.2 to RM 25.2","RM 2.3 to HW","RM 8.0 to HW","RM 8.0 to HW","RM 13.7 to RM 20.2","RM 13.7 to RM 20.2","RM 73.3 to RM 79.1","RM 73.3 to RM 79.1","RM 73.3 to RM 79.1","RM 73.3 to RM 79.1","RM 5.2 to HW","RM 5.2 to HW","RM 1.5 to RM 5.2","RM 2.3 to HW","Mouth to RM 2.3","Mouth to RM 2.3","RM 4.7 to RM 8.0","RM 4.7 to RM 8.0","Mouth to RM 4.7","Mouth to RM 4.7","RM 4.1 to HW","RM 4.1 to HW","Mouth to RM 4.1","Mouth to RM 4.1","Mouth to RM 13.7","Mouth to RM 13.7","Above Reservoir at RM 66.8 to RM 73.3","Above Reservoir at RM 66.8 to RM 73.3","Above Reservoir at RM 66.8 to RM 73.3","Above Reservoir at RM 66.8 to RM 73.3","RM 1.5 to RM 5.2","Mouth to RM 1.5","Mouth to RM 1.5","RM 17.0 to HW","RM 17.0 to HW","RM 1.0 to HW","RM 1.0 to HW","Mouth to RM 1.0","Mouth to RM 1.0","RM 57.6 to Reservoir at RM 62.2","RM 57.6 to Reservoir at RM 62.2","RM 41.9 to RM 57.6","RM 41.9 to RM 57.6","RM 12.6 to RM 17.0","RM 12.6 to RM 17.0","RM 6.2 to RM 12.6","RM 6.2 to RM 12.6","Mouth to RM 6.2","Mouth to RM 6.2","RM 20.2 to RM 30.4","RM 20.2 to RM 30.4","Entire length","Entire length","RM 4.1 to HW","RM 4.1 to HW","Entire length","Entire length","RM 4.0 to HW","RM 4.0 to HW","Mouth to RM 4.0","Mouth to RM 4.0","RM 9.5 to RM 12.5","RM 9.5 to RM 12.5","RM 4.2 to HW","RM 4.2 to HW","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","RM 5.9 to HW","RM 5.9 to HW","Entire length","Entire length","Entire length","Entire length","RM 2.4 to HW","RM 2.4 to HW","Mouth to RM 1.8","Mouth to RM 1.8","RM 1.6 to HW","RM 1.6 to HW","Entire length","Entire length","Entire length","Mouth to RM 1.6","Mouth to RM 1.6","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","RM 3.3 to HW","RM 3.3 to HW","Mouth to RM 3.3","Mouth to RM 3.3","Entire length","Entire length","RM 2.6 to HW","RM 2.6 to HW","Mouth to RM 2.6","Mouth to RM 2.6","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","RM 12.0 to HW","RM 12.0 to HW","Entire length","Entire length","Entire length","Entire length","RM 3.9 to HW","RM 3.9 to HW","RM 3.5 to HW","RM 3.5 to HW","Mouth to RM 3.5","Mouth to RM 3.5","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","RM 1.7 to RM 4.6","RM 1.7 to RM 4.6","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","Entire length","RM 21.9 to HW","RM 21.9 to HW","Entire length","Entire 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-<p>Then we can create a list of states that have at least one selenium
-impairment listed. We can also visualize this information on a map, with
-states containing selenium impairments filled in blue. To build this
-map, we first create a data frame with all 50 states and a
-“SeleniumImpairment” column populated with “yes” or “no” to indicate
-whether it has any listed selenium impairments.</p>
-<p>In addition to <a href="https://dplyr.tidyverse.org/">dplyr</a>, this
-code chunk also uses <a href="https://openintrostat.github.io/usdata/index.html">usdata</a> (US
-demographic data), <a href="https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html">datasets</a>
-(collection of data sets for use in R), <a href="https://usmap.dev/">usmap</a> (US choropleth plotting) and <a href="https://ggplot2.tidyverse.org/">ggplot2</a> (creating
-graphics).</p>
-<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-1" tabindex="-1"></a><span class="co"># filter to create df of states that have at least one selenium impairment}</span></span>
-<span id="cb24-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-2" tabindex="-1"></a>state.names.sel <span class="ot">&lt;-</span> param.nat <span class="sc">%&gt;%</span></span>
-<span id="cb24-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-3" tabindex="-1"></a>  <span class="co"># select state column from filtered df</span></span>
-<span id="cb24-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(state) <span class="sc">%&gt;%</span></span>
-<span id="cb24-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-5" tabindex="-1"></a>  <span class="co"># retain only distinct values for state</span></span>
-<span id="cb24-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb24-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-7" tabindex="-1"></a>  <span class="co"># change state abbreviation to full state name</span></span>
-<span id="cb24-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">state =</span> usdata<span class="sc">::</span><span class="fu">abbr2state</span>(state)) <span class="sc">%&gt;%</span></span>
-<span id="cb24-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-9" tabindex="-1"></a>  <span class="co"># create a list from the df</span></span>
-<span id="cb24-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">pull</span>()</span>
-<span id="cb24-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-11" tabindex="-1"></a></span>
-<span id="cb24-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-12" tabindex="-1"></a><span class="co"># read in a list of all 50 state  names</span></span>
-<span id="cb24-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-13" tabindex="-1"></a>state.names <span class="ot">&lt;-</span> datasets<span class="sc">::</span>state.name</span>
-<span id="cb24-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-14" tabindex="-1"></a></span>
-<span id="cb24-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-15" tabindex="-1"></a><span class="co"># create df with of all 50 state names</span></span>
-<span id="cb24-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-16" tabindex="-1"></a>sel.map.data <span class="ot">&lt;-</span> <span class="fu">as.data.frame</span>(state.names) <span class="sc">%&gt;%</span></span>
-<span id="cb24-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-17" tabindex="-1"></a>  <span class="co"># rename state.name column to state</span></span>
-<span id="cb24-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-18" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="at">state =</span> state.names) <span class="sc">%&gt;%</span></span>
-<span id="cb24-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-19" tabindex="-1"></a>  <span class="co"># create additional column to indicate if state has recorded selenium impairments ("yes") or not ("no")</span></span>
-<span id="cb24-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-20" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">SeleniumImpairment =</span> <span class="fu">factor</span>(<span class="fu">ifelse</span>(state <span class="sc">%in%</span> state.names.sel,</span>
-<span id="cb24-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-21" tabindex="-1"></a>                                            <span class="st">"yes"</span>, <span class="st">"no"</span>)))</span>
-<span id="cb24-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-22" tabindex="-1"></a></span>
-<span id="cb24-23"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-23" tabindex="-1"></a><span class="co"># create map, specifying data and values</span></span>
-<span id="cb24-24"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-24" tabindex="-1"></a>usmap<span class="sc">::</span><span class="fu">plot_usmap</span>(</span>
-<span id="cb24-25"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-25" tabindex="-1"></a>  <span class="at">regions =</span> <span class="st">"state"</span>, <span class="at">data =</span> sel.map.data,</span>
-<span id="cb24-26"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-26" tabindex="-1"></a>  <span class="at">values =</span> <span class="st">"SeleniumImpairment"</span>, <span class="at">color =</span> <span class="st">"black"</span></span>
-<span id="cb24-27"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-27" tabindex="-1"></a>) <span class="sc">+</span></span>
-<span id="cb24-28"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-28" tabindex="-1"></a><span class="co"># fill states with selenium impairments with blue</span></span>
-<span id="cb24-29"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-29" tabindex="-1"></a>  ggplot2<span class="sc">::</span><span class="fu">scale_fill_manual</span>(</span>
-<span id="cb24-30"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-30" tabindex="-1"></a>    <span class="at">values =</span> <span class="fu">c</span>(<span class="st">`</span><span class="at">no</span><span class="st">`</span> <span class="ot">=</span> <span class="st">"white"</span>, <span class="st">`</span><span class="at">yes</span><span class="st">`</span> <span class="ot">=</span> <span class="st">"blue"</span>)</span>
-<span id="cb24-31"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-31" tabindex="-1"></a>  ) <span class="sc">+</span></span>
-<span id="cb24-32"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-32" tabindex="-1"></a><span class="co"># remove legend</span></span>
-<span id="cb24-33"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb24-33" tabindex="-1"></a>  ggplot2<span class="sc">::</span><span class="fu">theme</span>(<span class="at">legend.position =</span> <span class="st">"none"</span>)</span></code></pre></div>
-<p><img role="img" 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"><!-- --></p>
-<p>In the map above, the states with selenium impairments are
-blue.</p></li>
-<li><p><strong>Which waters have a TMDL and are fully supporting
-nationally?</strong></p>
-<p>Starting with the filtered data frame of latest cycle assessments, we
-can filter for Fully Supporting waters with an asssociatedActionType of
-“TMDL”. Again, we can use a combination of <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a>, for data manipulation and
-creating a data table, respectively.</p>
-<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-1" tabindex="-1"></a><span class="co"># filter national assessments to includ only Fully Supporting w/ TMDL</span></span>
-<span id="cb25-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-2" tabindex="-1"></a>tmdl.fs <span class="ot">&lt;-</span> assessments.nat <span class="sc">%&gt;%</span></span>
-<span id="cb25-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(overallStatus <span class="sc">==</span> <span class="st">"Fully Supporting"</span>,</span>
-<span id="cb25-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-4" tabindex="-1"></a>                associatedActionType <span class="sc">==</span> <span class="st">"TMDL"</span></span>
-<span id="cb25-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-5" tabindex="-1"></a>                ) <span class="sc">%&gt;%</span></span>
-<span id="cb25-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-6" tabindex="-1"></a>  <span class="co"># select columns to review</span></span>
-<span id="cb25-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-7" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, state, assessmentUnitId, assessmentUnitName, </span>
-<span id="cb25-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-8" tabindex="-1"></a>                associatedActionId) <span class="sc">%&gt;%</span></span>
-<span id="cb25-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-9" tabindex="-1"></a>  <span class="co"># group by state and assessmentUnit</span></span>
-<span id="cb25-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(state, assessmentUnitId, assessmentUnitName) <span class="sc">%&gt;%</span></span>
-<span id="cb25-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-11" tabindex="-1"></a>  <span class="co"># create column continaing all actionIds associated with the assessmentUnit</span></span>
-<span id="cb25-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-12" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">associatedActionIds =</span> <span class="fu">paste</span>(<span class="fu">unique</span>(associatedActionId), </span>
-<span id="cb25-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-13" tabindex="-1"></a>                                            <span class="at">collapse =</span> <span class="st">", "</span>)) <span class="sc">%&gt;%</span></span>
-<span id="cb25-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-14" tabindex="-1"></a>  <span class="co"># remove original associatedActionId column</span></span>
-<span id="cb25-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-15" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>associatedActionId) <span class="sc">%&gt;%</span></span>
-<span id="cb25-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-16" tabindex="-1"></a>  <span class="co"># retain only distinct rows</span></span>
-<span id="cb25-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-17" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb25-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-18" tabindex="-1"></a></span>
-<span id="cb25-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb25-19" tabindex="-1"></a><span class="co"># fully supporting waters with tmdls data table</span></span>
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V-PL-56_03","WV-PL-56_04","WV-PL-56_06","WV-KNL-66_05","WV-PNB-14_07","WV-PL-20_01","WV-KNL-28_01","WV-KNL-78_01","WV-KNL-78_04","WV-PNB-31_03","WV-PSB-79_05","WV-PSB-79_06","WV-PSB_06","WV-MC-56-B_01","WV-KNL-102_01","WV-PL-20-B_01","WV-PU-1-DA_06","WV-PU-1-DA_07","WV-MW-112-D_01","WV-MW-112-F_01","WV-MT-109-H_01","WV-KNU-9-AE_03","WV-PNB-47-H_01","WV-PL-56-BC_02","WV-MC-124-K-15-E_01","WV-KL-74-O-1-A_01","WV-PSB-98-T-11_01","WV-OLK-149-AC_01","WV-PU-1-DA-56_02","WV-PU-1-DA-65_02"],["TURTLE","TICKLENAKED","LILY (LONDRY)","Henson Creek, mainstem","Arkansas River, mainstem","Kerber Creek, mainstem and all tributaries. Squirrel Creek, mainstem.","Brewery Creek and Elkhorn Gulch, mainstems","Uncompahgre River, mainstem.","Uncompahgre River, mainstem.","Uncompahgre River, mainstem.","Uncompahgre River, mainstem.","Cross Creek, mainstem","Lower Red Mill Branch","Deep Creek to confluence with Silver Lake","Concord Pond","Pocomoke River","Noxontown Pond","Rehoboth Bay","Tappahanna Ditch","Shallcross Lake","Mill Creek","Masseys Mill Pond","Red Mill Pond","Lums Pond","LAKE MIRROR","Boar Tusk Branch","Brushy Fork Creek","Greasy Branch","Big Indian Creek","Limestone Creek","Bluff Creek","Alabaha River","Warrior Creek","Savannah River","South Newport River","Hopkins Creek","Cedar Creek","Bay Creek","Little Ocmulgee State Park Lake (Gum Creek Swamp)","Bear Creek","Sinclair Lake","Crooked Creek","Mountain Creek","Gum Swamp Creek","Boggy Creek","Suwannoochee Creek","Toms Creek","Double Run Creek","Ogeechee River","Tributary 7 to Allen Creek","Tributary 8 to Allen Creek","North Walnut Creek","North Walnut Creek","Tributary 2 to Allen Creek","Bottoms Branch","Tributary to North Walnut Creek","Tributary 5 to Allen Creek","Town Creek","Alcovy River","Deep Creek","Cedar Creek","Little Mulberry River","Tiger Creek","Sandy Hill Creek","Tussahaw Branch (formerly known as Tributary to Tussahaw Creek)","Harmon Pye Branch","Anne Court Branch","Long Branch","Yellow Water Creek","Fivemile Creek","Tenmile Creek","Long Creek","Broad River","Gin Creek","Sand Branch","Reimolds Pasture Beach","East River","Cow Creek","Hardy Mill Creek","Mill Dam Creek","New River","Rocky Creek","White Creek","Swan Creek","Middle Creek","Crawford Creek","Tributary to Mill Creek","Tributary to Little Deer Creek","Tallulah River","Savannah River","Cole Creek","Phinizy Ditch","Reed Creek","McBean Creek","Briar Creek","Rum Creek","Reeves Creek","Wood Creek","Red Bluff Creek","Savannah River","Whites Creek","Brantley Lake","Little Cotton Indian Creek","Yellow River","Rock Creek","Ocmulgee River","Boone Creek","Corn House Creek","St. Marys Trib. 5 (aka Cooner Branch)","Yonah Lake","Little Shellstone Creek","Big Creek","White Oak Creek","Flint River","Tributary #2 to the Chattahoochee River","Willeo Creek","Tributary to Flat Shoal Creek","Elkins Creek","Lewis Creek","Ichawaynochaway Creek","Dry Creek","Dry Creek","Aycocks Creek","Flat Shoal Creek","Flat Shoals Creek","Tributary to Williams Creek","Williams Creek","Flint River","Lazer Creek","Owl Creek","Winchester Creek","Fortenberry Creek","Right Prong Butternut Creek","Soquee River","Soquee River","Potato Creek","Potato Creek","Sumac Creek","Nottely River","Limestone Creek","Dean Creek","Sweetwater Creek","Sweetwater Creek","Bull Creek","Potato Creek","Flint River","North Branch Ulcohatchee Creek (previously North Branch)","Goldmine Branch/Rock Creek","Long Swamp Creek","Chattooga River","Owenby Creek","Cooper Creek","North Fork Little Mud Creek","Little Bear Creek","Baldwin Creek","Mobley Creek","Billy Creek (Previously Nancy Long Creek/Billy Creek)","Bear Creek","Upatoi Creek","Sharp Mountain Creek","Soap Creek","Tributary to Sharp Mountain Creek","Edward Creek","Riggin Creek","Tributary to Canton Creek","Charlie Creek","Toccoa River","Crawfish Creek","Hichitee Creek","Bustahatchee Creek","Chastain Branch","Rocky Creek","Tributary to Anneewakee Creek - aka Arbor Creek (formerly House Creek)","Snake Creek","Beaver Creek","Cooper Sandy Creek","Cavenders Creek","Cane Creek","Turkey Creek","Rock Creek","Ross Creek","Tributary to Little Noonday Creek","Little Noonday Creek","Little Allatoona Creek","Balus Creek","South Fork Balus Creek","Coosawattee River","Kellogg Creek","Owl Creek","Stamp Creek","Boston Creek","Indian Creek","Rock Creek","Etta Vista Creek","Mud Creek","Talking Rock Creek","Bear Creek","Haw Creek","Flint River","Tributary to Scarecorn Creek","Pumpkinvine Creek","Raccoon Creek","Ball Mill Creek","Sullivan Creek","Tributary to Camp Creek (previously Camp Creek)","Kinchafoonee Creek","Coosawattee River","Coosawattee River","Little Tiger Creek","Suwanee Creek","Hills Creek","West Chickamauga Creek","Little Ochlockonee River","Mud Creek","Rock Creek","PRAIRIE CREEK","SOUTH FORK BLUE RIVER","CARPENTER CREEK","EEL RIVER","ROBERSON DITCH","STUMP DITCH","BICE DITCH","BOWER DITCH","Easter Lake","Rathbun Reservoir - Main Basin","Kent Park Lake","Thayer Lake","Iowa River","Lake Macbride","Des Moines River","Lost Island Lake","Trumbull Lake","Lower Gar Lake","Ninnescah R, N Fk","Ninnescah R, N Fk","Silver Cr","Ninnescah R","Dooleyville Cr","Wolf Cr","Goose Cr","Red Rock Cr","Owl Cr, South","Owl Cr","Cherry Cr","Owl Cr","Plum Cr","Unnamed Stream","Unnamed Stream","Bloody Run","Casey Creek 2.75 to 4.7","Big Pitman Creek 0.0 to 13.9","Buffalo Creek 0.0 to 6.9","Little Barren River 0.0 to 9.8","Crooked Creek 0.2 to 6.6","Crooked Creek 6.6 to 12.4","Stoner Creek 0.0 to 5.55","Otter Creek 0.0 to 4.0","Vaughn Ditch 0.0 to 3.25","Martins Fork Cumberland River 0.0 to 10.2","Brush Creek 1.1 to 7.6","Sand Lick Fork 0.0 to 5.05","Poor Fork Cumberland River 0.0 to 1.2","Nolin River 52.95 to 78.65","Rock Creek 0.0 to 4.0","North Fork Kentucky River 110.8 to 124.9","LAKE SUPERIOR BRIMLEY STATE PARK  BEACH","GUN LAKE MAIN BEACH DAY USE AREA BEACH","Rivers/Streams in HUC 040601020606","LAKE HURON KIWANIS BEACH","SAGINAW BAY BESSINGER ROAD BEACH","LAKE HURON HAMMEL BEACH ROAD ACCESS","TAWAS BAY TAWAS CITY PARK BEACH","LAKE HURON KEEWADHIN ROAD BEACH","ST. CLAIR RIVER CHRYSLER BEACH","LAKE ERIE LUNA PIER BEACH","CAMPBELL CREEK","PEARL RIVER","PEARL RIVER","RED CREEK","PRETTY CREEK","HAW RIVER","HAW RIVER","Elk Creek","South Toe River","LUMBER RIVER","LUMBER RIVER","YADKIN RIVER","YADKIN RIVER","DAN RIVER","DAN RIVER (North Carolina portion)","Hollow Poplar Creek","UT to Crowders Creek","East Fork Deep River","Richland Creek","NEUSE RIVER","NEUSE RIVER (above model segment)","DAN RIVER","Chicod Creek","NEUSE RIVER","DEEP RIVER","Henry Fork","Richland Creek (Lake Junaluska)","Muddy Creek","East Fork Deep River","Cane Creek (Cane Creek Reservoir)","Ararat River","Muddy Creek","Cane Creek (Cane Creek Reservoir)","Long Creek","Long Creek","Davidson River","Eno River (including the Eno River Arm of Falls Lake)","UT TUCKASEGEE R","Brush Lake","Crooked Lake","Las Vegas Wash at Lake Mead","Buckshutem Creek (above Rt 555)","Sapillo Creek (Gila River to Lake Roberts)","Rio Grande (TX border to NM192 bridge W of Mesquite)","Rio Grande (Picacho Bridge to Leasburg Dam)","Rio Grande (NM192 bridge W of Mesquite to Picacho Bridge)","Falls Creek (Tecolote Creek to headwaters)","Pecos Arroyo (Gallinas River to headwaters)","Apache Canyon (Rio Fernando de Taos to headwaters)","Polvadera Creek (Canones Creek to headwaters)","Rio Hondo (South Fork Rio Hondo to Lake Fork Creek)","Dalton Canyon Creek (Perennial prt Pecos R to headwaters)","Macho Canyon Creek (Pecos River to headwaters)","Bull Creek (Cow Creek to headwaters)","Canadian River (Conchas Reservoir to Mora River)","Whitewater Creek (San Francisco R to Whitewater Campgrd)","Rio Santa Barbara (non-pueblo Embudo Ck to USFS bnd)","El Rito (Pecos River to headwaters)","Ogden Run-Leading Creek","Headwaters Rocky Fork","East Fork Buck Creek","Headwaters Buck Creek","Miranda Run-Whiteoak Creek","Greenbrier Creek-Big Darby Creek","Clough Creek-Little Miami River","Talcott Creek-Grand River","Little Schuylkill River-25961046","Little Schuylkill River-25961048","Little Schuylkill River-25961052","Little Schuylkill River-25961058","Little Schuylkill River-25961060","Little Schuylkill River-25961062","Little Schuylkill River-25961064","Little Schuylkill River-25961068","Little Schuylkill River-25961072","Little Schuylkill River-25961074","Little Schuylkill River-25986252","Little Schuylkill River-25986254","Mill Creek-25995230","Little Schuylkill River-25986256","Unnamed  Tributary to Little Schuylkill River-25984250","Cold Run-25984254","Mill Creek-25994992","Unnamed  Tributary to Little Schuylkill River-25986090","Cold Run-25986094","Little Schuylkill River-25986304","Unnamed  Tributary to Mill Creek-25995000","Little Schuylkill River-25986424","Little Schuylkill River-25986426","Unnamed  Tributary to Mill Creek-25995018","Little Schuylkill River-25984280","Unnamed  Tributary to Little Schuylkill River-25984124","Unnamed  Tributary to Little Schuylkill River-25984142","Cold Run-25984144","Unnamed  Tributary to Mill Creek-25995196","Mill Creek-25995198","Mill Creek-25995204","Mill Creek-25995206","Mill Creek-25995212","Unnamed  Tributary to Mummasburg Run-53319376","Unnamed  Tributary to Mahantango Creek-54969639","Unnamed  Tributary to South Branch Middle Creek-54971053","Unnamed  Tributary to Mahantango Creek-54970103","Tioga River-57353343","Unnamed  Tributary to East Branch Conestoga River-57461515","Unnamed  Tributary to East Branch Conestoga River-57461541","Unnamed  Tributary to East Branch Conestoga River-57461553","Unnamed  Tributary to East Branch Conestoga River-57461557","Tioga River-57353255","Unnamed  Tributary to East Branch Conestoga River-57461559","Unnamed  Tributary to East Branch Conestoga River-57461575","Tioga River-57353277","West Branch Conestoga River-57461589","West Branch Conestoga River-57461593","Unnamed  Tributary to East Branch Conestoga River-57461611","Tioga River-57353307","Tioga River-57353309","Tioga River-57353319","West Branch Conestoga River-57461631","Bennett Branch Sinnemahoning Creek-61430232","Bennett Branch Sinnemahoning Creek-61430238","Bennett Branch Sinnemahoning Creek-61430488","Bennett Branch Sinnemahoning Creek-61430490","Bennett Branch Sinnemahoning Creek-61430494","Bennett Branch Sinnemahoning Creek-61430496","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430748","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430750","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431636","Bennett Branch Sinnemahoning Creek-61431638","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431640","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431642","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431648","Bennett Branch Sinnemahoning Creek-61431650","Bennett Branch-61431992","Unnamed  Tributary to West Branch Susquehanna River-61830907","Unnamed  Tributary to West Branch Susquehanna River-61830909","Hartshorn Run-61830929","Onion Run-61115481","Tangascootack Creek-61116453","Bennett Branch Sinnemahoning Creek-61430244","Bennett Branch Sinnemahoning Creek-61430252","Bennett Branch Sinnemahoning Creek-61430498","Bennett Branch Sinnemahoning Creek-61430500","Bennett Branch Sinnemahoning Creek-61430502","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430756","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430760","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430764","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430772","Bennett Branch Sinnemahoning Creek-61431048","Bennett Branch Sinnemahoning Creek-61431064","Bennett Branch Sinnemahoning Creek-61431662","Bennett Branch-61432002","Unnamed  Tributary to West Branch Susquehanna River-61830949","Bennett Branch Sinnemahoning Creek-61430512","Bennett Branch Sinnemahoning Creek-61430516","Bennett Branch Sinnemahoning Creek-61430518","Bennett Branch Sinnemahoning Creek-61430520","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431066","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431068","Bennett Branch Sinnemahoning Creek-61431338","Bennett Branch Sinnemahoning Creek-61431352","Bennett Branch-61431694","Bennett Branch-61432022","Bennett Branch Sinnemahoning Creek-61430292","Bennett Branch Sinnemahoning Creek-61430536","Bennett Branch-61431712","Bennett Branch Sinnemahoning Creek-61430308","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430804","Bennett Branch Sinnemahoning Creek-61431124","Unnamed  Tributary to Crawford Branch-61114971","Crawford Branch-61114973","Rock Run-61115563","Bennett Branch Sinnemahoning Creek-61430318","Bennett Branch Sinnemahoning Creek-61430832","Bennett Branch Sinnemahoning Creek-61431134","Bennett Branch Sinnemahoning Creek-61431138","Bennett Branch Sinnemahoning Creek-61431402","Bennett Branch Sinnemahoning Creek-61431412","Bennett Branch-61431746","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430842","Bennett Branch Sinnemahoning Creek-61431150","Bennett Branch Sinnemahoning Creek-61431152","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431160","Bennett Branch-61431774","Lick Run-61115307","Bennett Branch Sinnemahoning Creek-61430850","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431166","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431168","Bennett Branch Sinnemahoning Creek-61431450","Unnamed  Tributary to Hartshorn Run-61830675","Hartshorn Run-61830681","Hartshorn Run-61830683","Unnamed  Tributary to Crawford Branch-61115043","Crawford Branch-61115045","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430894","Bennett Branch Sinnemahoning Creek-61431198","Crawford Branch-61115057","Lebo Branch-61115059","Tangascootack Creek-61116653","Bennett Branch Sinnemahoning Creek-61430408","Bennett Branch Sinnemahoning Creek-61430656","Bennett Branch Sinnemahoning Creek-61430920","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430922","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61430924","Bennett Branch Sinnemahoning Creek-61431506","Bennett Branch Sinnemahoning Creek-61431514","Bennett Branch-61431870","Unnamed  Tributary to Hubler Run-61830077","Bennett Branch-61431890","Hubler Run-61830101","Unnamed  Tributary to Hartshorn Run-61830763","Unnamed  Tributary to Hartshorn Run-61830767","Crawford Branch-61115101","Bennett Branch Sinnemahoning Creek-61431550","Bennett Branch Sinnemahoning Creek-61431558","Bennett Branch-61431902","Bennett Branch-61431910","Hubler Run-61830109","Unnamed  Tributary to Cooks Run-61115115","Bennett Branch Sinnemahoning Creek-61430442","Bennett Branch Sinnemahoning Creek-61430448","Bennett Branch Sinnemahoning Creek-61430452","Bennett Branch Sinnemahoning Creek-61430692","Bennett Branch Sinnemahoning Creek-61431570","Bennett Branch Sinnemahoning Creek-61431586","Bennett Branch-61431916","Bennett Branch-61431918","Bennett Branch-61431924","Bennett Branch Sinnemahoning Creek-61430178","Bennett Branch Sinnemahoning Creek-61430458","Bennett Branch Sinnemahoning Creek-61430710","Bennett Branch Sinnemahoning Creek-61431938","Bennett Branch Sinnemahoning Creek-61431942","Bennett Branch Sinnemahoning Creek-61430198","Bennett Branch Sinnemahoning Creek-61430474","Bennett Branch Sinnemahoning Creek-61431612","Unnamed  Tributary to Bennett Branch Sinnemahoning Creek-61431618","Bennett Branch Sinnemahoning Creek-61431622","Bennett Branch Sinnemahoning Creek-61431624","Tomhicken Creek-65641377","Unnamed  Tributary to Fenton Run-61831349","Unnamed  Tributary to Fenton Run-61831351","Unnamed  Tributary to Fenton Run-61831361","Fenton Run-61831363","Unnamed  Tributary to Fenton Run-61831371","Unnamed  Tributary to Halfmoon Creek-65602894","Tomhicken Creek-65641477","Unnamed  Tributary to Anderson Creek-61831175","Unnamed  Tributary to Anderson Creek-61831177","Fenton Run-61831233","Tomhicken Creek-65641291","Fenton Run-61831317","Casselman River-69922051","Unnamed  Tributary to Warrior Run-66916675","Unnamed  Tributary to Sugar Camp Run-67175956","Casselman River-69922115","Casselman River-69922605","Sugar Camp Run-67176306","Casselman River-69922151","Casselman River-69922153","Casselman River-69922155","Casselman River-69922163","Unnamed  Tributary to Sugar Camp Run-67176314","Warrior Run-66916431","Casselman River-69922219","Casselman River-69922231","Warrior Run-66916477","Unnamed  Tributary to Warrior Run-66916479","Sugar Camp Run-67175784","Casselman River-69922277","Unnamed  Tributary to Sugar Camp Run-67175814","Unnamed  Tributary to Warrior Run-66916883","Glade Run-69920961","Casselman River-69922337","Warrior Run-66916895","Unnamed  Tributary to Warrior Run-66916897","Glade Run-69920969","Casselman River-69922397","Warrior Run-66916565","Warrior Run-66916575","Warrior Run-66916591","Unnamed  Tributary to Sugar Camp Run-67176194","Unnamed  Tributary to Warrior Run-66916611","Unnamed  Tributary to Warrior Run-66916613","Unnamed  Tributary to Warrior Run-66916621","Warrior Run-66916625","Unnamed  Tributary to Sugar Camp Run-67175918","Warrior Run-66916647","Unnamed  Tributary to Warrior Run-66916649","Unnamed  Tributary to Warrior Run-66916653","Unnamed  Tributary to Sugar Camp Run-67175948","Lockard Run-100479639","Lockard Run-100479647","Lockard Run-100479653","Unnamed  Tributary to Lockard Run-100479679","Unnamed  Tributary to Scrubgrass Creek-100479723","Unnamed  Tributary to Deer Creek-102669819","Redbank Creek-123855839","Redbank Creek-123855841","Redbank Creek-123855843","Redbank Creek-123856802","Redbank Creek-123862908","Redbank Creek-123862911","Redbank Creek-123862912","Redbank Creek-123862915","Redbank Creek-123862917","Redbank Creek-123863928","Redbank Creek-123863931","Redbank Creek-123863934","Redbank Creek-123863936","Redbank Creek-123862919","Redbank Creek-123862921","Redbank Creek-123862923","Redbank Creek-123862925","Redbank Creek-123862926","Redbank Creek-123863938","Redbank Creek-123863941","Redbank Creek-123863942","Redbank Creek-123863945","Redbank Creek-123863947","Redbank Creek-123863949","Redbank Creek-123863951","Middle Creek-133783944","Middle Creek-133783947","Casselman River-134770245","Casselman River-134770246","06B-20","06B-22","06B-23","CW-011","B-337","09B-02","09B-04","MD-052","B-051","B-338","S-300","09B-11","09B-12","09B-18","09B-21","CW-235","04-23","04-25","S-034","CW-241","MD-087","MD-088","MD-089","MD-091","04-29","B-059","S-307","12B-34","MD-110","MD-111","MD-115","E-036","B-095","B-110","E-052","S-322","E-084","MD-137","17-16","17-18","E-099","E-101","BE-024","BF-007","CW-151","18-07","18-09","18-10","18-11","B-231","B-263","CW-176","CW-192","MD-146","MD-152","B-005","E-113","B-326","04-03A","04-03B","04-04A","MD-001","MD-002","MD-003","B-041","B-330","B-331","S-252","06B-16","B-334","B-335","PD-342","CSTL-085","RS-06007","RS-15231","RT-032039","RS-13141","SV-015","MD-264","PD-355","SV-072","SV-073","PD-365","SV-352","PD-179","PD-029E","RO-02003","RO-07338","RS-01057","PD-001","RS-11010","PD-030","PD-037","RO-13332","RO-13336","Accokeek Creek","Thornton River","Carter Run","Robinson River","Hazel River","Deep Run","Rapidan River","XHW - UT to Peedee Creek, UT (XHV)","Unsegmented estuaries in E22","Spring Creek","Unsegmented estuaries in F23","Unsegmented estuaries in F24","Unsegmented estuaries in F14","Austin Creek","Unsegmented estuaries in F14","Frisby Branch","Grease Creek","North River","Evans Creek","Slate River","Powell Creek","Troublesome Creek","Tongue Quarter Creek","Deep Creek","Little Briery Creek","Unsegmented estuaries in G04","Unsegmented estuaries in G10E","Unsegmented estuaries in F23","Unsegmented estuaries in G10E","Upper Chippokes Creek","Big Lickinghole Creek","Big Lickinghole Creek","Roses Creek","Laurel Creek","Unsegmented estuaries in G10E","Unsegmented estuaries - Hog Point Area","Red Bank Creek - Middle &amp; Lower","Unsegmented estuaries - Homewood Creek","Unsegmented estuaries - Hog Island Cr","Strait Creek","Buffalo Creek North Fork","Buffalo Creek North Fork","North Fork Shenandoah River","North Fork Shenandoah River","North Fork Shenandoah River","Big Bluewing Creek","Udagak Bay","King Cove","Granite Creek","Little Survival Creek","Eagle River","Birch Creek (Ikheenjik River)","Bayou DeView","Mulberry River","Red River","Pacific Ocean Shoreline, San Clemente HA, at San Clemente City Beach at South Trafalgar St Beach","Pacific Ocean Shoreline, Lower San Juan HSA, 7500 feet south of outfall","Pacific Ocean Shoreline, San Joaquin Hills HSA, at Crescent Bay Beach","Pacific Ocean Shoreline, Laguna Beach HSA, at Dumond Drive at Victoria Beach","Pacific Ocean Shoreline, Laguna Beach HSA, at Laguna Beach at Cleo Street","Pacific Ocean Shoreline, San Dieguito HU, at San Dieguito Lagoon Mouth at Seascape Beach Park","Pacific Ocean Shoreline, Scripps HA, at Ravina","Pacific Ocean Shoreline, Dana Point HSA, at Table Rock Drive","Pacific Ocean Shoreline, Dana Point HSA, at Thousand Steps Beach","Pacific Ocean Shoreline, Dana Point HSA, at Dana Strands Surfzone at Dana Strands Rd","Pacific Ocean Shoreline, Dana Point HSA, at Aliso Beach at West Street","Pacific Ocean Shoreline, San Clemente HA, at Capistrano Shores at North Ole Hanson Beach","Pacific Ocean Shoreline, San Clemente HA, at San Clemente City Beach at Trafalgar Canyon outlet","Pacific Ocean Shoreline, San Clemente HA, at Riviera Beach","Eureka Plain HU, Elk River Watershed, Upper Little South Fork Elk River","Olema Creek subwatershed (Marin County, tributary to Lagunitas Creek)","Millerton Gulch (Marin County)","East Shore Tributary to Tomales Bay (Marin County)","Inverness Valley Tomales Bay Tributaries (Marin County)","Los Gatos Creek (R2)","Clear Creek (San Benito County)","La Brea Creek","Dockweiler Beach","Leo Carillo Beach (South of County Line)","Pacific Ocean Shoreline, Miramar Reservoir HA, at Los Penasquitos River mouth","LIS EB Midshore - East Lyme, Rocky Neck","LIS EB Shore - Rocky Neck (Fourmile Rvr), Old Lyme","Charters Brook-01","Natchaug River (Windham/Mansfield)-01","Long Branch Brook (Thompson)-01","Farmington River (Bloomfield/Farmington)-02","Eagleville Brook (Mansfield)-01","Russell Brook (Simsbury)-01","Munnisunk Brook (Simsbury)-01","Nod Brook (Avon/Simsbury)-01","Hop Brook (Simsbury)-01","Shetucket River (Windham)-05","Mad River (Winchester)-01","Wadsworth Falls State Park Pond (Middletown)","Poplar Plains Brook (Westport)-01","Pequonnock River (Trumbull/Monroe)-04","Pequonnock River (Monroe)-05","West Branch Pequonnock River (Monroe)-01","Norwalk River (Wilton/Redding)-03a","Norwalk River (Wilton)-02","Schreeder Pond (Killingworth)","Norwalk River (Wilton/Ridgefield)-04","Unnamed tributary Belden Hill Brook-01","Salmon Brook, West Branch (Granby/Hartland)-01b","Sasco Brook (Westport/Fairfield)-02","Unnamed Tributary, Sasco Brook (Fairfield)-01","Allen Brook Pond (North Haven/Wallingford)","Silvermine River (Norwalk/New Canaan)-02","VIENNA CORR. CNTR","TURNER","Rock Creek","La Harpe Creek","North Fork Vermilion River","North Fork Cox Creek","Tisdale Brake and Staulkinghead Creek-From headwaters to Little Bayou Boeuf","Thompson Creek-From Mississippi state line to Mississippi River","Lake Verret and Grassy Lake","Lake Habeeb","Aaron Run Mainstem","BSHOH - Bush River Oligohaline","CB2OH - Northern Chesapeake Bay Oligohaline","Severn River","CHSOH - Middle Chester River Oligohaline",null,"MATTF - Mattawoman Creek Tidal Fresh","NORTF - North East River Tidal Fresh","WHITEHALL AND MEREDITH CREEKS","BIGMH - Big Annemessex River Mesohaline","MANOKIN RIVER","BEAR NECK CREEK","CB1TF - Northern Chesapeake Bay Tidal Fresh","GUNOH - Gunpowder River Oligohaline","Tarkiln Run","SASOH - Sassafras River Oligohaline","TANMH - Tangier Sound Mesohaline","Corsica River","TAR COVE","CANOE NECK CREEK","SOLOMONS ISLAND HARBOR","MILL CREEK","WELLS COVE","BACK CREEK","West River","RAMSEY LAKE","Spiker Run","CUMMINGS CREEK","SELBY BAY","SOUTH RIVER","Tar Creek - downstream segment","ISLAND CREEK","TOWN CREEK","TALL TIMBERS COVE","Alexander Run","LAWS THOROFARE AND UPPER THOROFARE","Stone","Tamarack","Bass","Pomerleau","Sunfish","Lemay","Unnamed","Second","School","Birch","South Twin","East Boot","Big Marine (Jellums)","Hay","Augusta","Brazil Creek","Beaty Creek","Bird Creek","Fourteenmile Creek","Sycamore Creek","Fivemile Creek","California Creek","Saline Creek","Brushy Creek","Little Saline Creek","Indian Creek","Winter Camp Creek","Clear Creek","Medicine Creek","Indian Creek","Salt Creek","Crooked Creek","Deer Creek","Duck Pond Creek","Cobb Creek","Opossum Creek","Lagoon Creek","Euchee Creek","Buck Creek","Bad Creek","Alabama Creek","Council Creek","Salt Creek","Bitter Creek","Sandstone Creek","Lake Creek","Long Creek","Doga Creek","Salt Creek","Timber Creek","Wolf Creek","Cooper Creek","Bois d' Arc Creek","Umpqua River","Bull Run Reservoir Number One","Alex Creek","Junetta Creek","Zigzag River","Layng Creek","Salmon River","South Fork Klaskanine River","Grass Creek","Big Creek","South Fork McKenzie River","Marion Creek","Whitewater Creek","North Santiam River","McKenzie River","Bible Creek","Miami River","Rock Creek","Rock Creek","McKenzie River","McKenzie River","Clear Creek","HUC12 Name: Black Canyon Creek","McGee Creek","Weatherly Creek","Paradise Creek","HUC12 Name: Upper South Fork Burnt River","Dutch Oven Creek","HUC12 Name: Garret Creek","HUC12 Name: Nestucca River","HUC12 Name: Windy Creek","HUC12 Name: Headwaters Dairy Creek","HUC12 Name: Upper Salmon River","HUC12 Name: Lower Necanicum River","HUC12 Name: Lower Emigrant Creek","HUC12 Name: Upper Bull Run River","HUC12 Name: Gordon Creek","HUC12 Name: Carcus Creek","HUC12 Name: Layng Creek","HUC12 Name: Upper Annie Creek","HUC12 Name: Big Creek","HUC12 Name: Lower Antelope Creek","HUC12 Name: Lookout Creek","HUC12 Name: Three Lynx Creek-Clackamas River","HUC12 Name: Fish Creek","HUC12 Name: Summit Creek","HUC12 Name: Quartz Creek","HUC12 Name: Upper Klamath Lake","HUC12 Name: North Fork Eagle Creek","HUC12 Name: Ritchie Creek-McKenzie River","HUC12 Name: Middle Little Nestucca River","HUC12 Name: Lower Little Nestucca River","HUC12 Name: Zigzag Canyon","HUC12 Name: Elk Creek-Nestucca River","HUC12 Name: Straight Creek-North Santiam River","HUC12 Name: Minto Creek-North Santiam River","HUC12 Name: Whitewater Creek","Dry Lake","Strawberry Creek","Hazeldon Lake","South Fork Whetstone River","Long Creek","Cattail Lake","Swan Lake","Lake Cavour","White Lake","Curlew Lake","Lake Hiddenwood","Clear Lake (Hamlin)","Diamond Lake","Deadwood Creek","Battle Creek","Rocky River","Unnamed trib to Harpeth River","Unnamed trib to Kendrick Creek","East Fork Stones River","Trail Fork Big Creek","Walden Creek","South Indian Creek","Blackburn Fork","Ferguson Branch","Carr Creek","Cedar Branch","Smoky Creek","Flat Creek","Oakland Branch","Alexander Creek","Sulphur Fork","Lebanon Branch","Concord Creek","Unnamed trib to Caney Fork River","Trail Fork Big Creek","Baker Branch","West Prong Little Pigeon River","Flynn Creek","Puncheoncamp Creek","East Fork Pine Creek","Alexander Creek","McCutcheon Creek","Panther Creek","Flat Fork","Sequatchie River","Dry Creek","Slaughter Pen Hollow Branch","Long Branch","Sinking Creek","Elk River","Davis Branch","Feist Branch","Laurel Bank Branch","Hurricane Creek","North Fork Clinch River","Shiloh Branch","Unnamed Trib to Candies Creek","Dry Creek","Duck River","Candies Creek","Unnamed Trib to Wet Weakley Creek","Spicewood Branch","Sequatchie River","Maise Creek","Blackwater Creek","North Mouse Creek","Scarboro Creek","Wade Creek","Price River-5","School Section Lake","Parsons Creek","Pioneer Valley Creek","German Valley Br","Pleasant Valley Br","Legler School Br","Unnamed","Becky Creek","Argus School Branch","Henry Creek","Minocqua Lake","Suukjak Sep Creek","Eagle Creek","Bark River","Syftestad Creek","South Branch Potomac River","South Branch Potomac River","South Branch Potomac River","South Branch Potomac River","Sleepy Creek","Sleepy Creek","Sleepy Creek","Glade Creek","Patterson Creek","Rockymarsh Run","Keeney Creek","Meadow Creek","Meadow Creek","New Creek","South Fork/South Branch Potomac River","South Fork/South Branch Potomac River","South Branch Potomac River","UNT/Pringle Run RM 1.75","Brooks Branch","UNT/Rockymarsh Run RM 3.99 (West Fork)","Lost River","Lost River","Fitz Run","Ward Run","UNT/Beaver Creek RM 4.01","Mountain Creek","Glade Run","Indian Run","Snyder Run","Hoffman Hollow","Big Star Run","Fink Creek","Upper Cove Run","Cullers Run"],["10948","38098","42496","38980","37706","35249","35249","38152","38152","38152","38152","37663","31940","25941, 32086","25116","25119, 32611, 25120","24966, 32497","25131","25003, 25004, 31742","24968","31848, 31847","31829, 31830, 31828","31944, 31945, 31806","53144","32218","GAR4_22_45_06, 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-<li><p><strong>What are the impaired waters (cat 4 and 5
-nationally)?</strong></p>
-<p>The workflow here is similar to the previous question, relying on <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a>. This time we are retaining
-a few more columns for inclusion in the data table and are filtering by
-epaIRCategory for category 4 and 5 waters.</p>
-<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-1" tabindex="-1"></a><span class="co"># select subset of columns to include</span></span>
-<span id="cb26-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-2" tabindex="-1"></a>imp.waters <span class="ot">&lt;-</span> assessments.nat <span class="sc">%&gt;%</span></span>
-<span id="cb26-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, organizationName, organizationType,</span>
-<span id="cb26-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-4" tabindex="-1"></a>                assessmentUnitId, assessmentUnitName, assessmentDate, </span>
-<span id="cb26-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-5" tabindex="-1"></a>                epaIrCategory, waterType, waterSize, waterSizeUnits) <span class="sc">%&gt;%</span></span>
-<span id="cb26-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-6" tabindex="-1"></a>  <span class="co"># retain only distinct rows</span></span>
-<span id="cb26-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-7" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb26-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-8" tabindex="-1"></a>  <span class="co"># filter for category 4 and 5 waters</span></span>
-<span id="cb26-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb26-9" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(epaIrCategory <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">"4"</span>, <span class="st">"5"</span>))</span></code></pre></div>
-<p>The resulting data frame is large, with 128,870 unique impaired
-waters nationally. Due to its size, we’ll include a random subset of 250
-results in a data table to review during the demo. You can view the full
-results by viewing the imp.waters df.</p>
-<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb27-1" tabindex="-1"></a><span class="co"># data table with random 250 impaired waters</span></span>
-<span id="cb27-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb27-2" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(imp.waters <span class="sc">%&gt;%</span></span>
-<span id="cb27-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb27-3" tabindex="-1"></a>                dplyr<span class="sc">::</span><span class="fu">slice_sample</span>(<span class="at">n =</span> <span class="dv">250</span>), </span>
-<span id="cb27-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb27-4" tabindex="-1"></a>              <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">5</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
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-  <tbody><tr class="odd"><td>1</td><td>IDEQ</td><td>Idaho</td><td>State</td><td>ID17040219SK017_02</td><td>North Fork Big Wood River - source to mouth</td><td>2023/01/04</td><td>5</td><td>RIVER</td><td class="  dt-right">38.7</td><td>Miles</td></tr><tr class="even"><td>2</td><td>WVDEP</td><td>West Virginia</td><td>State</td><td>WV-KU-62-AL_01</td><td>Taylor Branch</td><td></td><td>5</td><td>STREAM/CREEK/RIVER</td><td class="  dt-right">1.42</td><td>Miles</td></tr><tr class="odd"><td>3</td><td>21PA</td><td>Pennsylvania</td><td>State</td><td>PA-SCR-123860471</td><td>Garretts Run-123860471</td><td></td><td>5</td><td>STREAM/CREEK/RIVER</td><td class="  dt-right">0.0789</td><td>Miles</td></tr><tr class="even"><td>4</td><td>21PA</td><td>Pennsylvania</td><td>State</td><td>PA-SCR-26175768</td><td>Unnamed  Tributary to Little Bush Kill-26175768</td><td></td><td>5</td><td>STREAM/CREEK/RIVER</td><td class="  dt-right">0.2001</td><td>Miles</td></tr><tr class="odd"><td>5</td><td>MNPCA</td><td>Minnesota</td><td>State</td><td>MN07010202-613</td><td>Unnamed creek</td><td></td><td>5</td><td>STREAM</td><td class="  dt-right">1.91</td><td>Miles</td></tr></tbody>
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Fork Big Wood River - source to mouth","Taylor Branch","Garretts Run-123860471","Unnamed  Tributary to Little Bush Kill-26175768","Unnamed creek","Unnamed  Tributary to South Branch Middle Creek-54970585","Upper NY Bay / Kill Van Kull (74d07m30s)","Casselman River-69920077","Susquehanna River-43487589","Roanoke (Staunton) River","Unnamed  Tributary to Conococheague Creek-134369118","Unnamed  Tributary to Buffalo Creek-123971765","Unnamed  Tributary to Mahanoy Creek-54965257","Unnamed creek","Indian Run","Allegheny Portage Creek-112375005","KANKAKEE RIVER","BROWN DITCH - UNNAMED TRIBUTARY","Delaware River-26138830","Walker Run-123724348","Herrington Lake","Lehigh River-26289949","SCHOOL BRANCH","Ninemile Creek","Unnamed  Tributary to Deep Run-56396329","South Branch Bear Creek-123851397","LITTLE RICHLAND CREEK","GREAT BEND/LYNCH COVE","Agawam Lake","North River","Unnamed  Tributary to North Branch Bermudian Creek-57467751","Unnamed  Tributary to Middle Creek-54968225","BUDD INLET (INNER)","Unnamed  Tributary to Allegheny River-123860324","Sand Coulee Creek","Juniata River-66208033","FIFIELD BROOK - TO HORSESHOE POND EAST INLET","Unnamed  Tributary to Schuylkill River-25960994","COAL CREEK","Gustafson Lake","Unnamed  Tributary to East Branch Codorus Creek-57472627","Smith Pond","Unnamed Tributary","Deep Run (above Monmouth Co line)","Rio Grande, mainstem","Rivers/Streams in HUC 040601030703","PD-336","Unnamed  Tributary to Paxton Run-56408833","Unnamed  Tributary to Pine Creek-100473225","Unnamed Stream","Blaine Creek 17.6 to 18.6","Whitetop Creek","Schuylkill River-25991242","Unnamed  Tributary to Elklick Run-57351809","Unnamed  Tributary to East Branch Muddy Creek-127345297","RL-18100","Wall Canyon Reservoir","Chikaskia River","Darby Creek-25590715","Lyons Run-99407424","WILDCAT CREEK - UNNAMED TRIBUTARY","Little Cottonwood Creek-1","Unnamed  Tributary to Mehoopany Creek-66410733","Unnamed  Tributary to Monongahela River-99413914","FRENCH CREEK","Unnamed  Tributary to Coal Run-99690386","RS-07043","Poteau River","Little Muddy Creek","Unnamed  Tributary to Cowanesque River-57351135","Willow Creek (Madera County)","SUGAR CREEK","Unnamed  Tributary to Deep Run-26031014","Tobyhanna Creek-26299297","Middle Creek-54969385","Spencer Run-65608706","Unnamed  Tributary to Conewago Creek-57471231","Unnamed  Tributary to Cowanesque River-57350601","YOUNGS CREEK","Tunkhannock Creek-66401763","FULTON CREEK","Unnamed  Tributary to Chester Creek-25621310","Beaver Creek - 1st and 2nd order","Levisa Fork 46.95 to 53.45","Rocky Creek 13.7 to 15.2","Difficult Run","Tenmile Creek 0.0 to 1.2","Watkins Creek","North Fork Saline River","Unnamed  Tributary to West Branch Antietam Creek-49486604","Headwaters North Fork Little Beaver Creek","Conneaut Creek-123920905","James River","Unnamed  Tributary to Ridley Creek-25606668","MISSISSINEWA RIVER - UNNAMED TRIBUTARY","Bonpas Creek","Unsegmented estuaries in E26","Turtle Creek-Frontal Lake Erie","Unnamed  Tributary to Chartiers Creek-99694436","Old Town Run-56408101","Middle Creek-54965391","Sugar Creek","Unnamed  Tributary to Little Neshaminy Creek-25473996","Rivers/Streams in HUC 040301080901","Wildhorse Creek Trib.B!","Halls Run-100476915","Unnamed  Tributary to Mill Creek-25985696","Sterling Run-61429434","PIRATE CANAL","Obney Run-99683834","LOON LAKE","New River","Farm Pond","Unnamed  Tributary to Codorus Creek-57469177","PIKE LAKE","HAMILTON LAKE","GARLAND BROOK - UNNAMED BROOK - BUNNELL BROOK","Shenango River-130033651","Walnut Creek-123925697","Duck River","RT-16125","LAKE WASHINGTON","Rivers/Streams in HUC 040802040106","SOLEDUCK RIVER","KEG CREEK, EAST FORK","Elk Creek-54964789","RAY BRANCH","Patterson Creek - Inyo Creek to mouth","Afton Lake","Rivers/Streams in HUC 040500010806","Coffeepot Creek","Unnamed  Tributary to Swabia Creek-26297093","Unnamed  Tributary to West Branch Conococheague Creek-49480458","Burke Mill Stream","Colyell Bay; includes Colyell Creek and Middle Colyell Creek-From Hood Road to Amite River","Unnamed  Tributary to Darby Creek-25620500","Dement Creek","Rivers/Streams in HUC 040301060104","Robinson Fork-73868878","BLUE RIVER","Unnamed  Tributary to Houghs Creek-26044528","Quinnipiac River-03","lower Spring Creek","Raccoon Creek-99690778","Rivers/Streams in HUC 040802040104","Unnamed  Tributary to Conewago Creek-57472915","Unnamed  Tributary to Rocky Spring Branch-49482414","Unnamed  Tributary to Standing Stone Creek-65604446","Freeman Lake","Unnamed  Tributary to Bushkill Creek-26066722","Salt Lick Creek","Unnamed  Tributary to Shermans Creek-56400531","Skillet Fork","SANIBEL BAYOUS","Unnamed  Tributary to East Branch White Clay Creek-26109098","CW-029","Little Sugar River","Skunk Creek","PIPE CREEK - UNNAMED TRIBUTARY","Rattlesnake Run-102669283","TOTTEN INLET","Right Fork Millstone Creek 0.0 to 1.55","Clarks River 4.9 to 13.1","Elk Creek","Dead Run","XDZ - Mill Creek, UT (Gascony Cove)","Unnamed  Tributary to Houghs Creek-26043888","Unnamed  Tributary to Back Creek-134367954","ST. CLAIR RIVER","GRISWOLD","Coal Creek-65633819","Snake River, all tributaries","Wissahickon Creek-25960234","Unnamed  Tributary to Dry Run-49495494","BLUE RIVER","DIELMAN DITCH","Rivers/Streams in HUC 040900030204","Unnamed  Tributary to Schuylkill River-25986078","C-40 (SIXMILE MARSH)","Unnamed tributary to Brush Creek","Twin Points Public Access Beach","ONION CREEK","Miller Run-133258103","Long Run-25974590","Wagon Train Lake","MCCRACKEN CREEK - UNNAMED TRIBUTARY","Cobbs Creek-25601653","Katlian River","Mallorys Creek","Big Lost River - Burnt Creek to Thousand Springs Creek","Parks Creek-66394131","Unnamed  Tributary to Naylors Run-25601203","Unnamed  Tributary to Marsh Creek-26091042","BIG SHAWNEE CREEK","Unnamed  Tributary to Panther Creek-66207773","Unnamed  Tributary to Middle Spring Creek-56409531","Unnamed  Tributary to Fidlers Run-54970127","Unsegmented rivers in K36R (not PWS area)","CLIFTY CREEK, NORTH BRANCH - UNNAMED TRIBUTARY","RUSH CREEK","Queen Creek","Brandywine Creek 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Creek-54963213","Roaring Run-123715695","Unnamed  Tributary to Karnes Run-102666805","Buffalo Creek-123973784","Unnamed  Tributary to Beaverdam Creek-57472555","Allen Creek","St Croix River","Big Prater Creek","BEAR BRANCH","Unnamed  Tributary to West Branch Brandywine Creek-26091448","Diamond Cr","Lake Ontario Shoreline, Central","TUNNEL BROOK - LITTLE TUNNEL BROOK - UNNAMED BROOK","Unnamed  Tributary to Mahanoy Creek-54963495","Millstone R (RockyBk to Applegarth 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","targets":0},{"name":"organizationId","targets":1},{"name":"organizationName","targets":2},{"name":"organizationType","targets":3},{"name":"assessmentUnitId","targets":4},{"name":"assessmentUnitName","targets":5},{"name":"assessmentDate","targets":6},{"name":"epaIrCategory","targets":7},{"name":"waterType","targets":8},{"name":"waterSize","targets":9},{"name":"waterSizeUnits","targets":10}],"order":[],"autoWidth":false,"orderClasses":false,"lengthMenu":[5,10,25,50,100]}},"evals":[],"jsHooks":[]}</script></li>
-<li><p><strong>Which organizations have included any information about
-monitoringLocations in ATTAINS? Which of these organizations have
-included any monitoringLocationDataLinks?</strong></p>
-<p>To answer this question, we’ll need to import a new national extract.
-As we are curious about monitoringLocations and
-monitoringLocationDataLinks, we will want to start with the Assessment
-Units with Monitoring Locations data set. The param value for this in
-EQ_NationalExtract is “au_mls”. Additional packages needed are <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a>. We’ll use some additional
-options in <a href="https://rstudio.github.io/DT/">DT</a> to highlight
-useful rows in the final data table.</p>
-<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb28-1" tabindex="-1"></a><span class="co"># import national extract for assessment units/monitoring locations</span></span>
-<span id="cb28-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb28-2" tabindex="-1"></a>nat.ausmls <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_NationalExtract</span>(<span class="st">"au_mls"</span>)</span></code></pre></div></li>
-</ol>
-<p>The next step is to filter the data frame and retain only rows that
-contain a value for monitoringLocationId. The resulting data frame,
-called “filtered.mls” will allow us to determine (1) which organizations
-have included monitoringLocationIdentifiers and (2) which organizations
-have included monitoringLocationDataLinks.</p>
-<p>To find the organizations with monitoringLocationIdentifiers, we will
-select only the rows organizationId, organizationName, and
-organizationType and retain the unique rows.</p>
-<p>To find the organizations with monitoringLocationIdentifiers, we will
-apply an additional filter and keep only rows that have a value in the
-monitoringLocationDataLink column. Then select only the rows
-organizationId, organizationName, and organizationType and retain the
-unique rows.</p>
-<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-1" tabindex="-1"></a><span class="co"># filter for rows that contain monitoringLocationIds</span></span>
-<span id="cb29-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-2" tabindex="-1"></a>filtered.mls <span class="ot">&lt;-</span> nat.ausmls <span class="sc">%&gt;%</span></span>
-<span id="cb29-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(monitoringLocationId <span class="sc">!=</span> <span class="st">""</span>,</span>
-<span id="cb29-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-4" tabindex="-1"></a>                <span class="sc">!</span><span class="fu">is.na</span>(monitoringLocationId))</span>
-<span id="cb29-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-5" tabindex="-1"></a></span>
-<span id="cb29-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-6" tabindex="-1"></a><span class="co"># start with data set filtered to include only rows with MonitoringLocationIds</span></span>
-<span id="cb29-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-7" tabindex="-1"></a>orgs.mls <span class="ot">&lt;-</span> filtered.mls <span class="sc">%&gt;%</span></span>
-<span id="cb29-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-8" tabindex="-1"></a>  <span class="co"># select columns to describe orgs</span></span>
-<span id="cb29-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-9" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, organizationName, organizationType) <span class="sc">%&gt;%</span></span>
-<span id="cb29-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb29-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-11" tabindex="-1"></a></span>
-<span id="cb29-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-12" tabindex="-1"></a></span>
-<span id="cb29-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-13" tabindex="-1"></a><span class="co"># start with data set filtered to include only rows with MonitoringLocationIds</span></span>
-<span id="cb29-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-14" tabindex="-1"></a>links.mls <span class="ot">&lt;-</span> filtered.mls <span class="sc">%&gt;%</span></span>
-<span id="cb29-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-15" tabindex="-1"></a>  <span class="co"># filter for orgs with monitoringLocationDataLinks</span></span>
-<span id="cb29-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(monitoringLocationDataLink <span class="sc">!=</span> <span class="st">""</span>,</span>
-<span id="cb29-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-17" tabindex="-1"></a>                <span class="sc">!</span><span class="fu">is.na</span>(monitoringLocationDataLink)) <span class="sc">%&gt;%</span></span>
-<span id="cb29-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-18" tabindex="-1"></a>  <span class="co"># select columns to describe orgs</span></span>
-<span id="cb29-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-19" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, organizationName, organizationType) <span class="sc">%&gt;%</span></span>
-<span id="cb29-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-20" tabindex="-1"></a>  <span class="co"># retain distinct rows</span></span>
-<span id="cb29-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb29-21" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span></code></pre></div>
-<p>There are 45 with monitoringLocationId data in ATTAINS. Of these
-organizations, 5 also contain monitoringLocationDataLinks. We can create
-a data table to display this information and apply some conditional
-formatting to highlight the organizations with
-monitoringLocationIdentifiers in blue and those with
-monitoringLocationIdentifiers and monitoringLocationDataLinks in
-orange.</p>
-<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-1" tabindex="-1"></a><span class="co"># create data frame summarizing which organizations have monitoringLocationIds and monitoringLocationDataLinks in ATTAINS</span></span>
-<span id="cb30-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-2" tabindex="-1"></a>ml.table <span class="ot">&lt;-</span> nat.ausmls <span class="sc">%&gt;%</span></span>
-<span id="cb30-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-3" tabindex="-1"></a>  <span class="co"># create df of all orgs</span></span>
-<span id="cb30-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(organizationId, organizationName, organizationType) <span class="sc">%&gt;%</span></span>
-<span id="cb30-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-5" tabindex="-1"></a>  <span class="co"># retain only distinct rows</span></span>
-<span id="cb30-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb30-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-7" tabindex="-1"></a>  <span class="co"># add columns indicating whether the org has any data in ATTAINS for monitoringLocationId and monitoringLocationDataLink</span></span>
-<span id="cb30-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">monitoringLocationId =</span> <span class="fu">ifelse</span>(organizationId <span class="sc">%in%</span> </span>
-<span id="cb30-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-9" tabindex="-1"></a>                                                orgs.mls<span class="sc">$</span>organizationId,</span>
-<span id="cb30-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-10" tabindex="-1"></a>                                              <span class="st">"yes"</span>, <span class="st">"no"</span>),</span>
-<span id="cb30-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-11" tabindex="-1"></a>                <span class="at">monitoringLocationDataLink =</span> <span class="fu">ifelse</span>(organizationId <span class="sc">%in%</span></span>
-<span id="cb30-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-12" tabindex="-1"></a>                                                      links.mls<span class="sc">$</span>organizationId,</span>
-<span id="cb30-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-13" tabindex="-1"></a>                                                    <span class="st">"yes"</span>, <span class="st">"no"</span>))</span>
-<span id="cb30-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-14" tabindex="-1"></a><span class="co"># create data table </span></span>
-<span id="cb30-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-15" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(ml.table, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">10</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>)) <span class="sc">%&gt;%</span> </span>
-<span id="cb30-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-16" tabindex="-1"></a>  <span class="co"># highlight rows for orgs that have monitoringLocationId in blue</span></span>
-<span id="cb30-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-17" tabindex="-1"></a>  DT<span class="sc">::</span><span class="fu">formatStyle</span>(</span>
-<span id="cb30-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-18" tabindex="-1"></a>  <span class="st">"monitoringLocationId"</span>, <span class="at">target =</span> <span class="st">"row"</span>, </span>
-<span id="cb30-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-19" tabindex="-1"></a>  <span class="at">backgroundColor =</span> <span class="fu">styleEqual</span>(<span class="fu">c</span>(<span class="st">"yes"</span>), <span class="fu">c</span>(<span class="st">"#66c3c5"</span>))) <span class="sc">%&gt;%</span></span>
-<span id="cb30-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-20" tabindex="-1"></a>  <span class="co"># highlight rows for orgs that also have data for data links in organge</span></span>
-<span id="cb30-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-21" tabindex="-1"></a>  DT<span class="sc">::</span><span class="fu">formatStyle</span>(</span>
-<span id="cb30-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-22" tabindex="-1"></a>  <span class="st">"monitoringLocationDataLink"</span>, <span class="at">target =</span> <span class="st">"row"</span>, </span>
-<span id="cb30-23"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb30-23" tabindex="-1"></a>  <span class="at">backgroundColor =</span> <span class="fu">styleEqual</span>(<span class="fu">c</span>(<span class="st">"yes"</span>), <span class="fu">c</span>(<span class="st">"#f9b97d"</span>)))</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-0bc7025572dadca76526" style="width:100%;height:auto;"><div id="DataTables_Table_4_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_4_length"><label>Show <select name="DataTables_Table_4_length" aria-controls="DataTables_Table_4" class=""><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_4_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_4"></label></div><div class="dataTables_scroll"><div class="dataTables_scrollHead" style="overflow: hidden; position: relative; border: 0px; width: 100%;"><div class="dataTables_scrollHeadInner" style="box-sizing: content-box; width: 914.156px; padding-right: 0px;"><table class="display dataTable no-footer" style="margin-left: 0px; width: 914.156px;"><thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="width: 15.5781px;"> </th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="width: 127.922px;">organizationId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="width: 121.359px;">organizationName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationType: activate to sort column ascending" style="width: 114.859px;">organizationType</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="monitoringLocationId: activate to sort column ascending" style="width: 143.875px;">monitoringLocationId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="monitoringLocationDataLink: activate to sort column ascending" style="width: 190.562px;">monitoringLocationDataLink</th></tr>
-  </thead></table></div></div><div class="dataTables_scrollBody" style="position: relative; overflow: auto; width: 100%;"><table class="display dataTable no-footer" id="DataTables_Table_4" aria-describedby="DataTables_Table_4_info"><thead>
-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 15.5781px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="sorting" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 127.922px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationId</div></th><th class="sorting" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 121.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationName</div></th><th class="sorting" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="organizationType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 114.859px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationType</div></th><th class="sorting" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="monitoringLocationId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 143.875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">monitoringLocationId</div></th><th class="sorting" aria-controls="DataTables_Table_4" rowspan="1" colspan="1" aria-label="monitoringLocationDataLink: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 190.562px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">monitoringLocationDataLink</div></th></tr>
-  </thead>
-  <tbody><tr class="odd"><td>1</td><td>21PA</td><td>Pennsylvania</td><td>State</td><td>no</td><td>no</td></tr><tr class="even" style="background-color: rgb(102, 195, 197);"><td>2</td><td>TDECWR</td><td>Tennessee</td><td>State</td><td>yes</td><td>no</td></tr><tr class="odd" style="background-color: rgb(102, 195, 197);"><td>3</td><td>SDDENR</td><td>South Dakota</td><td>State</td><td>yes</td><td>no</td></tr><tr class="even"><td>4</td><td>KICKAPOO</td><td>Kickapoo Tribe of Oklahoma</td><td>Tribe</td><td>no</td><td>no</td></tr><tr class="odd" style="background-color: rgb(102, 195, 197);"><td>5</td><td>PUEBLOOFTESUQUE</td><td>Pueblo of Tesuque, New Mexico</td><td>Tribe</td><td>yes</td><td>no</td></tr><tr class="even"><td>6</td><td>21HI</td><td>Hawaii</td><td>State</td><td>no</td><td>no</td></tr><tr class="odd"><td>7</td><td>1VTDECWQ</td><td>Vermont</td><td>State</td><td>no</td><td>no</td></tr><tr class="even"><td>8</td><td>MDE_EASP</td><td>Maryland</td><td>State</td><td>no</td><td>no</td></tr><tr class="odd"><td>9</td><td>WYDEQ</td><td>Wyoming</td><td>State</td><td>no</td><td>no</td></tr><tr class="even" style="background-color: rgb(102, 195, 197);"><td>10</td><td>DELAWARENATION</td><td>Delaware Nation, Oklahoma</td><td>Tribe</td><td>yes</td><td>no</td></tr></tbody>
-</table></div></div><div class="dataTables_info" id="DataTables_Table_4_info" role="status" aria-live="polite">Showing 1 to 10 of 84 entries</div><div class="dataTables_paginate paging_simple_numbers" id="DataTables_Table_4_paginate"><a class="paginate_button previous disabled" aria-controls="DataTables_Table_4" aria-disabled="true" role="link" data-dt-idx="previous" tabindex="-1" id="DataTables_Table_4_previous">Previous</a><span><a class="paginate_button current" aria-controls="DataTables_Table_4" role="link" aria-current="page" data-dt-idx="0" tabindex="0">1</a><a class="paginate_button " aria-controls="DataTables_Table_4" role="link" data-dt-idx="1" tabindex="0">2</a><a class="paginate_button " aria-controls="DataTables_Table_4" role="link" data-dt-idx="2" tabindex="0">3</a><a class="paginate_button " aria-controls="DataTables_Table_4" role="link" data-dt-idx="3" tabindex="0">4</a><a class="paginate_button " aria-controls="DataTables_Table_4" role="link" data-dt-idx="4" tabindex="0">5</a><span class="ellipsis">…</span><a class="paginate_button " aria-controls="DataTables_Table_4" role="link" data-dt-idx="8" tabindex="0">9</a></span><a class="paginate_button next" aria-controls="DataTables_Table_4" role="link" data-dt-idx="next" tabindex="0" id="DataTables_Table_4_next">Next</a></div></div></div>
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-</div>
-<div id="eq_assessments" class="section level2">
-<h2>EQ_Assessments</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_Assessments.html"><strong>EQ_Assessments()</strong></a>queries
-ATTAINS Assessments data. For many use cases, querying Assessments for a
-single organization or state is desirable. The next example shows how to
-query by a single state for the latest cycle. The default for the
-function is to query for the latest cycle. If you would like to search
-for an older cycle, you can set the “report_cycle” parameter equal to
-the desired cycle year in YYYY format.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>How many stream miles in Kansas are impaired for primary
-contact recreation in the latest cycle?</strong></p>
-<p>First, we can construct our query to return only Primary Contact
-Recreation Assessments from the latest cycle from Kansas for streams.
-The remaining steps can be accomplished with <a href="https://dplyr.tidyverse.org/">dplyr</a> functions to retain unique
-combinations of assessmentUnitId, assessmentUnitName, waterSize and
-waterSizeUnits, then summing the waterSize column to find the number of
-stream miles.</p>
-<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-1" tabindex="-1"></a><span class="co"># set up query to search assessments for KS, primary contact recreation use, and stream, default behavior is to query latest report cycle</span></span>
-<span id="cb31-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-2" tabindex="-1"></a>ks.imp.streams <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Assessments</span>(<span class="at">statecode =</span> <span class="st">"KS"</span>,</span>
-<span id="cb31-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-3" tabindex="-1"></a>                                               <span class="at">use_name =</span> <span class="st">"Primary Contact Recreation"</span>, </span>
-<span id="cb31-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-4" tabindex="-1"></a>                                               <span class="at">api_key =</span> testkey,</span>
-<span id="cb31-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-5" tabindex="-1"></a>                                               <span class="at">water_type =</span> <span class="st">"STREAM"</span>)</span>
-<span id="cb31-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-6" tabindex="-1"></a></span>
-<span id="cb31-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-7" tabindex="-1"></a><span class="co"># calculate total water size</span></span>
-<span id="cb31-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-8" tabindex="-1"></a>ks.miles <span class="ot">&lt;-</span> ks.imp.streams <span class="sc">%&gt;%</span></span>
-<span id="cb31-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-9" tabindex="-1"></a>  <span class="co"># select required columns</span></span>
-<span id="cb31-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(assessmentUnitId, assessmentUnitName, </span>
-<span id="cb31-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-11" tabindex="-1"></a>                waterSize, waterSizeUnits) <span class="sc">%&gt;%</span></span>
-<span id="cb31-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-12" tabindex="-1"></a>  <span class="co"># retain distinct rows</span></span>
-<span id="cb31-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-13" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb31-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-14" tabindex="-1"></a>  <span class="co"># sum water size</span></span>
-<span id="cb31-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-15" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">totalWaterSize =</span> <span class="fu">sum</span>(waterSize)) <span class="sc">%&gt;%</span></span>
-<span id="cb31-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb31-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">pull</span>()</span></code></pre></div>
-<p>There are 11,129.78 stream miles in Kansas impaired for primary
-contract recreation use.</p></li>
-<li><p><strong>What waters in Montana are impaired due to Zinc? How many
-different uses are zinc impairments associated with in
-Montana?</strong></p>
-<p>We start by querying for Montana assessments with zinc as a cause and
-can use <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://plotly.com/r/">plotly</a> (graphing library) to summarize
-the results by useName and create a bar plot of the results.</p>
-<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-1" tabindex="-1"></a><span class="co"># query MT's latest assessments for zinc as a cause</span></span>
-<span id="cb32-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-2" tabindex="-1"></a>MT.impair <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Assessments</span>(<span class="at">statecode =</span> <span class="st">"MT"</span>,</span>
-<span id="cb32-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-3" tabindex="-1"></a>                                          <span class="at">api_key =</span> testkey,</span>
-<span id="cb32-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-4" tabindex="-1"></a>                                          <span class="at">param_name =</span> <span class="st">"ZINC"</span>,</span>
-<span id="cb32-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-5" tabindex="-1"></a>                                          <span class="at">param_status =</span> <span class="st">"Cause"</span></span>
-<span id="cb32-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb32-6" tabindex="-1"></a>                                          )</span></code></pre></div>
-<pre><code>## [1] "EQ_Assessments: The current query will return 123 rows."</code></pre>
-<p>Next we summarize the uses associated with zinc impairments and count
-the number of unique assessmentUnitIdentifiers for each use to
-facilitate creating a bar plot.</p>
-<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb34-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb34-1" tabindex="-1"></a><span class="co"># summarize by useName</span></span>
-<span id="cb34-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb34-2" tabindex="-1"></a>MT.impair.use <span class="ot">&lt;-</span> MT.impair <span class="sc">%&gt;%</span> </span>
-<span id="cb34-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb34-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(useName) <span class="sc">%&gt;%</span></span>
-<span id="cb34-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb34-4" tabindex="-1"></a>  <span class="co"># count AUIDs by use</span></span>
-<span id="cb34-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb34-5" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">count =</span> <span class="fu">length</span>(<span class="fu">unique</span>(assessmentUnitId)))</span></code></pre></div>
-<p>There are 3 uses with zinc as a cause in Montana: Agricultural,
-Aquatic Life, and Drinking Water . As our last step, we’ll create the
-bar plot.</p>
-<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb35-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb35-1" tabindex="-1"></a>plotly<span class="sc">::</span><span class="fu">plot_ly</span>(<span class="at">data =</span> MT.impair.use,</span>
-<span id="cb35-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb35-2" tabindex="-1"></a>  <span class="at">x =</span> <span class="sc">~</span>useName,</span>
-<span id="cb35-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb35-3" tabindex="-1"></a>  <span class="at">y =</span> <span class="sc">~</span>count,</span>
-<span id="cb35-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb35-4" tabindex="-1"></a>  <span class="at">type =</span> <span class="st">"bar"</span></span>
-<span id="cb35-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb35-5" tabindex="-1"></a>)</span></code></pre></div>
-<div class="plotly html-widget html-fill-item html-widget-static-bound js-plotly-plot" id="htmlwidget-6878a5d5fa1f8b138860" style="width:768px;height:384px;"><div class="plot-container plotly"><div class="user-select-none svg-container" style="position: relative; width: 768px; height: 384px;"><svg class="main-svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="768" height="384" style="background: rgb(255, 255, 255);"><defs id="defs-923352"><g class="clips"><clippath id="clip923352xyplot" class="plotclip"><rect width="698" height="319"></rect></clippath><clippath class="axesclip" id="clip923352x"><rect x="60" y="0" width="698" height="384"></rect></clippath><clippath class="axesclip" id="clip923352y"><rect x="0" y="25" width="768" height="319"></rect></clippath><clippath class="axesclip" id="clip923352xy"><rect x="60" y="25" width="698" height="319"></rect></clippath></g><g class="gradients"></g><g class="patterns"></g></defs><g 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-<li><p><strong>Which waters are new to category 5 in the 2024 cycle for
-Illinois? Which categories did they move from?</strong></p>
-<p>This is another question that is well suited to using <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://plotly.com/r/">plotly</a> in addition to EQ_Assessments.
-The query is for category 5 waters from Illinois from the latest
-reporting cycle. In order to compare reporting cycles, we’ll also need
-to provide a value for the previous cycle and run the query again, this
-time for the previous reporting cycle and without specifying the
-category.</p>
-<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb36-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-1" tabindex="-1"></a><span class="co"># get cat 5 waters from 2024 assessment cycle</span></span>
-<span id="cb36-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-2" tabindex="-1"></a>IL.latest <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Assessments</span>(<span class="at">statecode =</span> <span class="st">"IL"</span>,</span>
-<span id="cb36-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-3" tabindex="-1"></a>                            <span class="at">epa_ir_cat =</span> <span class="st">"5"</span>,</span>
-<span id="cb36-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-4" tabindex="-1"></a>                             <span class="at">api_key =</span> testkey)</span>
-<span id="cb36-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-5" tabindex="-1"></a></span>
-<span id="cb36-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-6" tabindex="-1"></a><span class="co"># select required columns from latest cycle data</span></span>
-<span id="cb36-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-7" tabindex="-1"></a>IL.latest <span class="ot">&lt;-</span> IL.latest <span class="sc">%&gt;%</span></span>
-<span id="cb36-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(assessmentUnitId, epaIrCategory) <span class="sc">%&gt;%</span></span>
-<span id="cb36-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-9" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb36-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb36-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-11" tabindex="-1"></a></span>
-<span id="cb36-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-12" tabindex="-1"></a></span>
-<span id="cb36-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-13" tabindex="-1"></a><span class="co"># get all assessments from previous cycle</span></span>
-<span id="cb36-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-14" tabindex="-1"></a>IL.previous <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Assessments</span>(<span class="at">statecode =</span> <span class="st">"IL"</span>,</span>
-<span id="cb36-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-15" tabindex="-1"></a>                                            <span class="at">report_cycle =</span> <span class="dv">2022</span>,</span>
-<span id="cb36-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb36-16" tabindex="-1"></a>                                            <span class="at">api_key =</span> testkey)</span></code></pre></div>
-<p>Next we’ll need to filter the previous cycle results to retain only
-the assessment units that are category 5 waters in the latest cycle.
-This allows us to combine the latest and previous cycle data frames and
-filter them to create a data frame which contains only the assessment
-units that changed from some other category to category 5 from the
-previous cycle to the latest cycle.</p>
-<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb37-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-1" tabindex="-1"></a><span class="co"># filter previous cycle to include only cat 5 waters from 2024</span></span>
-<span id="cb37-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-2" tabindex="-1"></a>IL.previous <span class="ot">&lt;-</span> IL.previous <span class="sc">%&gt;%</span></span>
-<span id="cb37-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-3" tabindex="-1"></a>  <span class="co"># retain only cat 5 waters from latest cycle</span></span>
-<span id="cb37-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(assessmentUnitId <span class="sc">%in%</span> IL.latest<span class="sc">$</span>assessmentUnitId) <span class="sc">%&gt;%</span></span>
-<span id="cb37-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-5" tabindex="-1"></a>  <span class="co"># select auid and category</span></span>
-<span id="cb37-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(assessmentUnitId, epaIrCategory) <span class="sc">%&gt;%</span></span>
-<span id="cb37-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-7" tabindex="-1"></a>  <span class="co"># rename to indicate previous cycle</span></span>
-<span id="cb37-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="at">epaIrCategory.previous =</span> epaIrCategory)</span>
-<span id="cb37-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-9" tabindex="-1"></a></span>
-<span id="cb37-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-10" tabindex="-1"></a><span class="co"># combine latest and previous cycle dfs</span></span>
-<span id="cb37-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-11" tabindex="-1"></a>IL.combine <span class="ot">&lt;-</span> IL.latest <span class="sc">%&gt;%</span></span>
-<span id="cb37-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-12" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">left_join</span>(IL.previous, dplyr<span class="sc">::</span><span class="fu">join_by</span>(assessmentUnitId))</span>
-<span id="cb37-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-13" tabindex="-1"></a></span>
-<span id="cb37-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-14" tabindex="-1"></a><span class="co"># create df of the auids that changed to cat 5 in 2024</span></span>
-<span id="cb37-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-15" tabindex="-1"></a>IL.changes <span class="ot">&lt;-</span> IL.combine <span class="sc">%&gt;%</span></span>
-<span id="cb37-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(epaIrCategory <span class="sc">!=</span> epaIrCategory.previous) <span class="sc">%&gt;%</span></span>
-<span id="cb37-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb37-17" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span></code></pre></div>
-<p>Finally, we can summarize by counting the categories the new category
-5s were previously in and create a pie chart to visualize. This example
-sets up a color palette that mimics the one used in the ATTAINS report
-module.</p>
-<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb38-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-1" tabindex="-1"></a><span class="co"># summarize what cats the new cat 5s were in previously</span></span>
-<span id="cb38-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-2" tabindex="-1"></a>IL.change.sum <span class="ot">&lt;-</span> IL.changes <span class="sc">%&gt;%</span></span>
-<span id="cb38-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(epaIrCategory.previous) <span class="sc">%&gt;%</span></span>
-<span id="cb38-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarise</span>(<span class="at">count =</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(assessmentUnitId))</span>
-<span id="cb38-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-5" tabindex="-1"></a></span>
-<span id="cb38-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-6" tabindex="-1"></a><span class="co"># set color palette for categories</span></span>
-<span id="cb38-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-7" tabindex="-1"></a>cat.pal <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">"#9dd49d"</span>, <span class="st">"#bee3be"</span>, <span class="st">"#c5c5c5"</span>, <span class="st">"#f6ce95"</span>, <span class="st">"#f9deb8"</span>, <span class="st">"#f0bab9"</span>,   <span class="st">"#e89895"</span>,<span class="st">"#4be367"</span>,<span class="st">"#17b644"</span>, <span class="st">"#c5a577"</span>)</span>
-<span id="cb38-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-8" tabindex="-1"></a><span class="co"># set category names for palette</span></span>
-<span id="cb38-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-9" tabindex="-1"></a>cat.pal <span class="ot">&lt;-</span>  <span class="fu">setNames</span>(cat.pal, <span class="fu">c</span>(<span class="st">"1"</span>, <span class="st">"2"</span>, <span class="st">"3"</span>, <span class="st">"4A"</span>, <span class="st">"4B"</span>, <span class="st">"4C"</span>, <span class="st">"5"</span>, <span class="st">"5A"</span>, <span class="st">"5R"</span>, <span class="st">"4"</span>))</span>
-<span id="cb38-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-10" tabindex="-1"></a></span>
-<span id="cb38-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-11" tabindex="-1"></a></span>
-<span id="cb38-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-12" tabindex="-1"></a><span class="co"># create plotly plot</span></span>
-<span id="cb38-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-13" tabindex="-1"></a>plotly<span class="sc">::</span><span class="fu">plot_ly</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb38-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-14" tabindex="-1"></a>  <span class="co"># add pipe based IL.change.sum  </span></span>
-<span id="cb38-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-15" tabindex="-1"></a>  plotly<span class="sc">::</span><span class="fu">add_pie</span>(<span class="at">data =</span> IL.change.sum, <span class="sc">~</span>count, <span class="at">labels =</span> <span class="sc">~</span>epaIrCategory.previous,</span>
-<span id="cb38-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-16" tabindex="-1"></a>                    <span class="at">marker =</span> <span class="fu">list</span>(</span>
-<span id="cb38-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-17" tabindex="-1"></a>                      <span class="at">colors =</span> cat.pal,</span>
-<span id="cb38-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-18" tabindex="-1"></a>                      <span class="at">line =</span> <span class="fu">list</span>(<span class="at">color =</span> <span class="st">"white"</span>, <span class="at">width =</span> <span class="dv">2</span>)</span>
-<span id="cb38-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-19" tabindex="-1"></a>                    ), <span class="at">type =</span> <span class="st">"pie"</span>,</span>
-<span id="cb38-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-20" tabindex="-1"></a>                    <span class="at">hoverinfo =</span> <span class="st">"value"</span>, <span class="at">outsidetextfont =</span> <span class="fu">list</span>(<span class="at">color =</span> <span class="st">"black"</span>),</span>
-<span id="cb38-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-21" tabindex="-1"></a>                    <span class="at">sort =</span> <span class="cn">FALSE</span></span>
-<span id="cb38-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-22" tabindex="-1"></a>    ) <span class="sc">%&gt;%</span></span>
-<span id="cb38-23"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-23" tabindex="-1"></a>  <span class="co"># add legend  </span></span>
-<span id="cb38-24"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-24" tabindex="-1"></a>  plotly<span class="sc">::</span><span class="fu">layout</span>(<span class="at">legend =</span> <span class="fu">list</span>(<span class="at">orientation =</span> <span class="st">"h"</span>,</span>
-<span id="cb38-25"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-25" tabindex="-1"></a>                                 <span class="at">xanchor =</span> <span class="st">"center"</span>,</span>
-<span id="cb38-26"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb38-26" tabindex="-1"></a>                                 <span class="at">x =</span> <span class="fl">0.5</span>))</span></code></pre></div>
-<div class="plotly html-widget html-fill-item html-widget-static-bound js-plotly-plot" id="htmlwidget-af06fc9dcc7b7bee09e0" style="width:768px;height:336px;"><div class="plot-container plotly"><div class="user-select-none svg-container" style="position: relative; width: 768px; height: 336px;"><svg class="main-svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="768" height="336" style="background: rgb(255, 255, 255);"><defs id="defs-21ffa0"><g class="clips"></g><g class="gradients"></g><g class="patterns"></g></defs><g class="bglayer"></g><g class="draglayer"></g><g class="layer-below"><g class="imagelayer"></g><g class="shapelayer"></g></g><g class="cartesianlayer"></g><g class="polarlayer"></g><g class="smithlayer"></g><g class="ternarylayer"></g><g class="geolayer"></g><g class="funnelarealayer"></g><g class="pielayer"><g class="trace" stroke-linejoin="round" style="opacity: 1;"><g class="slice"><path class="surface" d="M409,148.5l0,-123.5a123.5,123.5 0 0 1 76.64527100568675,220.33879611222372Z" style="pointer-events: all; stroke-width: 2; fill: rgb(157, 212, 157); fill-opacity: 1; stroke: rgb(255, 255, 255); stroke-opacity: 1;"></path><g class="slicetext"><text data-notex="1" class="slicetext" transform="translate(468.947138047114,132.13334588571158)" text-anchor="middle" data-unformatted="39.3%" data-math="N" x="0" y="0" style="font-family: &quot;Open Sans&quot;, verdana, arial, sans-serif; font-size: 12px; fill: rgb(68, 68, 68); fill-opacity: 1; white-space: pre;">39.3%</text></g></g><g class="slice"><path class="surface" d="M409,148.5l-37.55818179244845,-117.65046952921774a123.5,123.5 0 0 1 37.55818179244845,-5.8495304707822555Z" style="pointer-events: all; stroke-width: 2; fill: rgb(190, 227, 190); fill-opacity: 1; stroke: rgb(255, 255, 255); stroke-opacity: 1;"></path><g class="slicetext"><text data-notex="1" class="slicetext" transform="translate(389.92096975964284,55.24049602626682)rotate(81.14754098360652)" text-anchor="middle" data-unformatted="4.92%" data-math="N" x="0" y="0" style="font-family: &quot;Open Sans&quot;, verdana, arial, sans-serif; font-size: 12px; fill: rgb(68, 68, 68); fill-opacity: 1; white-space: pre;">4.92%</text></g></g><g class="slice"><path class="surface" d="M409,148.5l-120.19815015199723,-28.366436153276773a123.5,123.5 0 0 1 82.63996835954877,-89.28403337594096Z" style="pointer-events: all; stroke-width: 2; fill: rgb(197, 197, 197); fill-opacity: 1; stroke: rgb(255, 255, 255); stroke-opacity: 1;"></path><g class="slicetext"><text data-notex="1" class="slicetext" transform="translate(348.23505384715213,96.79393256739735)" text-anchor="middle" data-unformatted="16.4%" data-math="N" x="0" y="0" style="font-family: &quot;Open Sans&quot;, verdana, arial, sans-serif; font-size: 12px; fill: rgb(68, 68, 68); fill-opacity: 1; white-space: pre;">16.4%</text></g></g><g class="slice"><path class="surface" d="M409,148.5l76.64527100568668,96.83879611222376a123.5,123.5 0 0 1 -196.8434211576839,-125.20523226550054Z" style="pointer-events: all; stroke-width: 2; fill: rgb(246, 206, 149); fill-opacity: 1; stroke: rgb(255, 255, 255); stroke-opacity: 1;"></path><g class="slicetext"><text data-notex="1" class="slicetext" transform="translate(374.8728706225672,206.5905676902863)" text-anchor="middle" data-unformatted="39.3%" data-math="N" x="0" y="0" style="font-family: &quot;Open Sans&quot;, verdana, arial, sans-serif; font-size: 12px; fill: rgb(68, 68, 68); fill-opacity: 1; white-space: pre;">39.3%</text></g></g></g></g><g class="iciclelayer"></g><g class="treemaplayer"></g><g class="sunburstlayer"></g><g class="glimages"></g></svg><div class="gl-container"></div><svg class="main-svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="768" height="336"><defs id="topdefs-21ffa0"><g class="clips"></g><clippath id="legend21ffa0"><rect width="229" height="29" x="0" y="0"></rect></clippath></defs><g class="indicatorlayer"></g><g class="layer-above"><g class="imagelayer"></g><g class="shapelayer"></g></g><g class="infolayer"><g class="legend" pointer-events="all" transform="translate(294.5,296.70000000000005)"><rect class="bg" shape-rendering="crispEdges" style="stroke: rgb(68, 68, 68); 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-</ol>
-</div>
-<div id="eq_assessmentunits" class="section level2">
-<h2>EQ_AssessmentUnits</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_AssessmentUnits.html"><strong>EQ_AssessmentUnits()</strong></a>
-queries ATTAINS Assessment Units data. The default is to only return
-“Active” assessment units, but input params can be adjusted to query for
-“Retired” or “Historical” assessment units in addition to or instead of
-“Active”.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>What are the retired assessment units for
-Florida?</strong></p>
-<p>This can be answered with a simple EQ_AssessmentUnits query
-specifying Florida with an assesment unit status of “Retired” without
-using functions from any additional packages. For easier review, we’ll
-create a datatable with <a href="https://rstudio.github.io/DT/">DT</a>.</p>
-<div class="sourceCode" id="cb39"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb39-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-1" tabindex="-1"></a><span class="co"># search for retired assessment units in Florida</span></span>
-<span id="cb39-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-2" tabindex="-1"></a>FL.ret.auids <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_AssessmentUnits</span>(<span class="at">statecode =</span> <span class="st">"FL"</span>,</span>
-<span id="cb39-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-3" tabindex="-1"></a>                                                <span class="at">au_status =</span> <span class="st">"Retired"</span>,</span>
-<span id="cb39-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-4" tabindex="-1"></a>                                                <span class="at">api_key =</span> testkey)</span>
-<span id="cb39-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-5" tabindex="-1"></a></span>
-<span id="cb39-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-6" tabindex="-1"></a><span class="co"># create data table</span></span>
-<span id="cb39-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb39-7" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(FL.ret.auids, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">5</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div></li>
-</ol>
-</div>
-<div id="eq_tmdls" class="section level2">
-<h2>EQ_TMDLs</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_TMDLs.html"><strong>EQ_TMDLs()</strong></a>
-queries ATTAINS TMDL data and can utilize many search parameters.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>What are all the TMDLs in HI? How many are there (counted
-as unique combinations of actionID/pollutant/assessmentUnitId)? How many
-are associated with each pollutantGroup?</strong></p>
-<p>To answer this question we’ll use <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://plotly.com/r/">plotly</a>. The EQ_TMDLs query is simple,
-specifying only the state of Hawaii since we want to return all of
-Hawaii’s TMDLs.</p>
-<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb40-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb40-1" tabindex="-1"></a><span class="co"># query for Hawaii TMDLs</span></span>
-<span id="cb40-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb40-2" tabindex="-1"></a>HI.tmdls <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_TMDLs</span>(<span class="at">statecode =</span> <span class="st">"HI"</span>, </span>
-<span id="cb40-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb40-3" tabindex="-1"></a>                                   <span class="at">api_key =</span> testkey)</span></code></pre></div>
-<p>The536 rows can be reviewed in the data frame. Keep in mind that if
-we want to count one TMDL as one unique combination of
-assessmentUnitIdentifier, pollutant and actionId, we can’t simply count
-the number of rows as this would lead to double counting as each
-assessmentUnitIdentifier/pollutant/actionId may be associated with
-multiple parameters, which means it will be listed more than once. The
-code chunk below demonstrates one way to determine the number of TMDLs
-by unique assessmentUnitIdentifier/pollutant/actionId. We can than
-visualize TMDLs related to each pollutantGroup with a simple bar
-graph.</p>
-<div class="sourceCode" id="cb41"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb41-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-1" tabindex="-1"></a><span class="co"># determine the number of tmdls</span></span>
-<span id="cb41-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-2" tabindex="-1"></a>HI.count <span class="ot">&lt;-</span> HI.tmdls <span class="sc">%&gt;%</span></span>
-<span id="cb41-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-3" tabindex="-1"></a>  <span class="co"># select required columns</span></span>
-<span id="cb41-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(assessmentUnitId, assessmentUnitName, actionId, actionName, pollutant, pollutantGroup, fiscalYearEstablished, actionAgency, planSummaryLink) <span class="sc">%&gt;%</span></span>
-<span id="cb41-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-5" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb41-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb41-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-7" tabindex="-1"></a></span>
-<span id="cb41-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-8" tabindex="-1"></a><span class="co"># determine number per group</span></span>
-<span id="cb41-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-9" tabindex="-1"></a>HI.sum <span class="ot">&lt;-</span> HI.count <span class="sc">%&gt;%</span></span>
-<span id="cb41-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-10" tabindex="-1"></a>  <span class="co"># groupy by pollutantGroup</span></span>
-<span id="cb41-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-11" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(pollutantGroup,) <span class="sc">%&gt;%</span></span>
-<span id="cb41-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-12" tabindex="-1"></a>  <span class="co"># count unique auids per pollutantGroup</span></span>
-<span id="cb41-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-13" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">count =</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(assessmentUnitId)) <span class="sc">%&gt;%</span></span>
-<span id="cb41-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-14" tabindex="-1"></a>  <span class="co"># if pollutantGroup is missing, assing to group named "NULL"</span></span>
-<span id="cb41-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-15" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">pollutantGroup =</span> <span class="fu">ifelse</span>(<span class="fu">is.na</span>(pollutantGroup), <span class="st">"NULL"</span>, pollutantGroup))</span>
-<span id="cb41-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-16" tabindex="-1"></a></span>
-<span id="cb41-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-17" tabindex="-1"></a><span class="co"># create bar plot</span></span>
-<span id="cb41-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-18" tabindex="-1"></a>plotly<span class="sc">::</span><span class="fu">plot_ly</span>( <span class="at">data =</span> HI.sum,</span>
-<span id="cb41-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-19" tabindex="-1"></a>  <span class="at">x =</span> <span class="sc">~</span>pollutantGroup,</span>
-<span id="cb41-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-20" tabindex="-1"></a>  <span class="at">y =</span> <span class="sc">~</span>count,</span>
-<span id="cb41-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-21" tabindex="-1"></a>  <span class="at">type =</span> <span class="st">"bar"</span></span>
-<span id="cb41-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb41-22" tabindex="-1"></a>)</span></code></pre></div>
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-<script type="application/json" data-for="htmlwidget-f8919838748557bd0ac4">{"x":{"visdat":{"1ff839597be2":["function () ","plotlyVisDat"]},"cur_data":"1ff839597be2","attrs":{"1ff839597be2":{"x":{},"y":{},"alpha_stroke":1,"sizes":[10,100],"spans":[1,20],"type":"bar"}},"layout":{"margin":{"b":40,"l":60,"t":25,"r":10},"xaxis":{"domain":[0,1],"automargin":true,"title":"pollutantGroup","type":"category","categoryorder":"array","categoryarray":["ALGAL GROWTH","NULL","NUTRIENTS","ORGANIC ENRICHMENT/OXYGEN DEPLETION","PATHOGENS","PH/ACIDITY/CAUSTIC CONDITIONS","SEDIMENT","TEMPERATURE","TOTAL TOXICS","TURBIDITY"]},"yaxis":{"domain":[0,1],"automargin":true,"title":"count"},"hovermode":"closest","showlegend":false},"source":"A","config":{"modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"data":[{"x":["ALGAL GROWTH","NUTRIENTS","ORGANIC ENRICHMENT/OXYGEN DEPLETION","PATHOGENS","PH/ACIDITY/CAUSTIC CONDITIONS","SEDIMENT","TEMPERATURE","TOTAL TOXICS","TURBIDITY","NULL"],"y":[11,28,2,11,1,2,1,1,52,11],"type":"bar","marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script>
-<p>There are 168 TMDLs in Hawaii.</p></li>
-<li><p><strong>How many TMDL projects (by actionId) were approved so far
-in FY 2025 in R10?</strong></p>
-<p>This question can be answered simply with a well crafted query and a
-single <a href="https://dplyr.tidyverse.org/">dplyr</a> function. The
-2025 fiscal year began on October 1, 2024, so that will be set as the
-tmdl_start_date parameter along with specifying 10 for the region.</p>
-<div class="sourceCode" id="cb42"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb42-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-1" tabindex="-1"></a><span class="co"># r10 query for FY 2025 TMDLs</span></span>
-<span id="cb42-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-2" tabindex="-1"></a>tmdl.proj <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_TMDLs</span>(<span class="at">region =</span> <span class="dv">10</span>,</span>
-<span id="cb42-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-3" tabindex="-1"></a>                                    <span class="at">tmdl_date_start =</span> <span class="st">"2024-10-01"</span>,</span>
-<span id="cb42-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-4" tabindex="-1"></a>                                    <span class="at">api_key =</span> testkey)</span>
-<span id="cb42-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-5" tabindex="-1"></a></span>
-<span id="cb42-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-6" tabindex="-1"></a><span class="co"># count distinct actionIds</span></span>
-<span id="cb42-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb42-7" tabindex="-1"></a>tmdl.proj.count <span class="ot">&lt;-</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(tmdl.proj<span class="sc">$</span>actionId)</span></code></pre></div>
-<p>There are TMDL projects (by actionID) approved so far in FY 2025. In
-order to create a user-friendly <a href="https://rstudio.github.io/DT/">DT</a> datatable, we will have to
-take a few more steps. The columns, assessmentUnitId, pollutant, and
-addressedParameter are likely to have more than one value per actionId.
-In order to create a readable table with only one row per actionId, we
-will use <a href="https://dplyr.tidyverse.org/">dplyr</a> functions to
-manipulate the data frame so that for example, multiple pollutants will
-be listed together in the same row.</p>
-<div class="sourceCode" id="cb43"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb43-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-1" tabindex="-1"></a>tmdl.sum <span class="ot">&lt;-</span> tmdl.proj <span class="sc">%&gt;%</span></span>
-<span id="cb43-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-2" tabindex="-1"></a>  <span class="co"># select columns</span></span>
-<span id="cb43-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(region, state, organizationId, organizationName, organizationId, </span>
-<span id="cb43-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-4" tabindex="-1"></a>                actionId, actionName, assessmentUnitId, pollutant,</span>
-<span id="cb43-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-5" tabindex="-1"></a>                addressedParameter, tmdlDate, planSummaryLink) <span class="sc">%&gt;%</span></span>
-<span id="cb43-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-6" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb43-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-7" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb43-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-8" tabindex="-1"></a>  <span class="co"># group by actionId</span></span>
-<span id="cb43-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-9" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(actionId) <span class="sc">%&gt;%</span></span>
-<span id="cb43-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-10" tabindex="-1"></a>  <span class="co"># create new columns to address issues with mulitple rows</span></span>
-<span id="cb43-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-11" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">assessmentUnitIds =</span> <span class="fu">paste</span>(<span class="fu">sort</span>(<span class="fu">unique</span>(assessmentUnitId)), <span class="at">collapse =</span> <span class="st">", "</span></span>
-<span id="cb43-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-12" tabindex="-1"></a>                                          ),</span>
-<span id="cb43-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-13" tabindex="-1"></a>                <span class="at">pollutants =</span> <span class="fu">paste</span>(<span class="fu">sort</span>(<span class="fu">unique</span>(pollutant)), <span class="at">collapse =</span> <span class="st">", "</span>),</span>
-<span id="cb43-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-14" tabindex="-1"></a>                <span class="at">addressedParameters =</span> <span class="fu">paste</span>(<span class="fu">sort</span>(<span class="fu">unique</span>(addressedParameter)), <span class="at">collapse =</span> <span class="st">", "</span>)) <span class="sc">%&gt;%</span> dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>assessmentUnitId, <span class="sc">-</span>pollutant, <span class="sc">-</span>addressedParameter) <span class="sc">%&gt;%</span></span>
-<span id="cb43-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-15" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb43-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb43-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-17" tabindex="-1"></a></span>
-<span id="cb43-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-18" tabindex="-1"></a><span class="co"># create data table</span></span>
-<span id="cb43-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-19" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(tmdl.sum <span class="sc">%&gt;%</span></span>
-<span id="cb43-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-20" tabindex="-1"></a>                rExpertQuery<span class="sc">::</span><span class="fu">EQ_FormatPlanLinks</span>(), <span class="at">escape =</span> <span class="cn">FALSE</span>,</span>
-<span id="cb43-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb43-21" tabindex="-1"></a>              <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">2</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-e6d71077655fd43f0b07" style="width:100%;height:auto;"><div id="DataTables_Table_5_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_5_length"><label>Show <select name="DataTables_Table_5_length" aria-controls="DataTables_Table_5" class=""><option value="2">2</option><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_5_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_5"></label></div><div class="dataTables_scroll"><div class="dataTables_scrollHead" style="overflow: hidden; position: relative; border: 0px; width: 100%;"><div class="dataTables_scrollHeadInner" style="box-sizing: content-box; width: 1547.91px; padding-right: 0px;"><table class="display dataTable no-footer" style="margin-left: 0px; width: 1547.91px;"><thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="width: 7.79688px;"> </th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="region: activate to sort column ascending" style="width: 42.7812px;">region</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="state: activate to sort column ascending" style="width: 32.6875px;">state</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="width: 95.6719px;">organizationId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="width: 121.359px;">organizationName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="width: 53.6719px;">actionId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="width: 79.3594px;">actionName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="tmdlDate: activate to sort column ascending" style="width: 59.9062px;">tmdlDate</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="planSummaryLink: activate to sort column ascending" style="width: 191.516px;">planSummaryLink</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="assessmentUnitIds: activate to sort column ascending" style="width: 181.219px;">assessmentUnitIds</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="pollutants: activate to sort column ascending" style="width: 119.625px;">pollutants</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="addressedParameters: activate to sort column ascending" style="width: 146.312px;">addressedParameters</th></tr>
-  </thead></table></div></div><div class="dataTables_scrollBody" style="position: relative; overflow: auto; width: 100%;"><table class="display dataTable no-footer" id="DataTables_Table_5" aria-describedby="DataTables_Table_5_info"><thead>
-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 7.79688px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="dt-right sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="region: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 42.7812px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">region</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="state: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 32.6875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">state</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 95.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationId</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 121.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationName</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 53.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionId</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 79.3594px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionName</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="tmdlDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 59.9062px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">tmdlDate</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="planSummaryLink: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 191.516px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">planSummaryLink</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="assessmentUnitIds: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 181.219px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentUnitIds</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="pollutants: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 119.625px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">pollutants</div></th><th class="sorting" aria-controls="DataTables_Table_5" rowspan="1" colspan="1" aria-label="addressedParameters: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 146.312px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">addressedParameters</div></th></tr>
-  </thead>
-  <tbody><tr class="odd"><td>1</td><td class="  dt-right">10</td><td>ID</td><td>IDEQ</td><td>Idaho</td><td>Willow Creek 2024</td><td>Willow Creek Subbasin Total Maximum Daily Loads 
-2024 Temperature, Nutrients, and Bacteria TMDLs and Five-Year Reviews</td><td>2025-02-06</td><td><a href="https://mywaterway.epa.gov/plan-summary/IDEQ/Willow%20Creek%202024" target="_blank">https://mywaterway.epa.gov/plan-summary/IDEQ/Willow Creek 2024</a></td><td>ID17040205SK005_02, ID17040205SK005_05, ID17040205SK008_02, ID17040205SK008_04, ID17040205SK010_02, ID17040205SK011_04, ID17040205SK012_02, ID17040205SK012_03, ID17040205SK013_02, ID17040205SK013_03, ID17040205SK018_02, ID17040205SK018_03, ID17040205SK020_04, ID17040205SK021_02, ID17040205SK023_02, ID17040205SK024_02, ID17040205SK025_02, ID17040205SK025_03, ID17040205SK026_02, ID17040205SK027_02, ID17040205SK028_02, ID17040205SK028_03, ID17040205SK029_02, ID17040205SK031_02</td><td>ESCHERICHIA COLI (E. COLI), PHOSPHORUS, TOTAL, TEMPERATURE</td><td>ESCHERICHIA COLI (E. COLI), PHOSPHORUS, TOTAL, TEMPERATURE</td></tr><tr class="even"><td>2</td><td class="  dt-right">10</td><td>WA</td><td>WA_ECOLOGY</td><td>Washington</td><td>WA-TMDL-0147</td><td>Spokane and Little Spokane Rivers PCBs TMDLs</td><td>2024-10-28</td><td><a href="https://mywaterway.epa.gov/plan-summary/WA_ECOLOGY/WA-TMDL-0147" target="_blank">https://mywaterway.epa.gov/plan-summary/WA_ECOLOGY/WA-TMDL-0147</a></td><td>WA17010305000009_001_002, WA17010305000010_001_001, WA17010305000011_001_001, WA17010305000012_001_001, WA17010307000010_001_001, WA17010307000774_001_001, WA17010307009085_001_001, WA17010307009102_001_001, WA17010307009615_001_001, WA170103070106_01_01, WA170103070107_01_01, WA17010308000018_001_001</td><td>POLYCHLORINATED BIPHENYLS (PCBS)</td><td>POLYCHLORINATED BIPHENYLS (PCBS)</td></tr></tbody>
-</table></div></div><div class="dataTables_info" id="DataTables_Table_5_info" role="status" aria-live="polite">Showing 1 to 2 of 2 entries</div><div class="dataTables_paginate paging_simple_numbers" id="DataTables_Table_5_paginate"><a class="paginate_button previous disabled" aria-controls="DataTables_Table_5" aria-disabled="true" role="link" data-dt-idx="previous" tabindex="-1" id="DataTables_Table_5_previous">Previous</a><span><a class="paginate_button current" aria-controls="DataTables_Table_5" role="link" aria-current="page" data-dt-idx="0" tabindex="0">1</a></span><a class="paginate_button next disabled" aria-controls="DataTables_Table_5" aria-disabled="true" role="link" data-dt-idx="next" tabindex="-1" id="DataTables_Table_5_next">Next</a></div></div></div>
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-</ol>
-</div>
-<div id="eq_actions" class="section level2">
-<h2>EQ_Actions</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_Actions.htmlhttps://usepa.github.io/rExpertQuery/reference/EQ_Actions.html"><strong>EQ_Actions()</strong></a>queries
-ATTAINS Actions data by a variety of user supplied parameters.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>Which actions in Delaware should be included in measures?
-How many actions (by actionIds) are in this group?</strong></p>
-<p>We can use <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a> with the query results to
-find the answer and display the relevant actionIds. For the query, we
-use EQ_Actions to search for Deleware actions with the “in_meas”
-parameter set to “Yes”. Then we count the distinct actionIds.</p>
-<div class="sourceCode" id="cb44"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb44-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb44-1" tabindex="-1"></a><span class="co"># query Actions from Delaware that are included in Measures </span></span>
-<span id="cb44-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb44-2" tabindex="-1"></a>DE.meas <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Actions</span>(<span class="at">statecode =</span> <span class="st">"DE"</span>,</span>
-<span id="cb44-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb44-3" tabindex="-1"></a>                                    <span class="at">in_meas =</span> <span class="st">"Yes"</span>,</span>
-<span id="cb44-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb44-4" tabindex="-1"></a>                                    <span class="at">api_key =</span> testkey)</span></code></pre></div>
-<pre><code>## [1] "EQ_Actions: The current query will return 649 rows."</code></pre>
-<div class="sourceCode" id="cb46"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb46-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb46-1" tabindex="-1"></a><span class="co"># count unique actionIds</span></span>
-<span id="cb46-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb46-2" tabindex="-1"></a>DE.count <span class="ot">&lt;-</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(DE.meas<span class="sc">$</span>actionId)</span></code></pre></div>
-<p>There are 480 actionIds that should be included when calculating
-measures for Delaware. In a similar process to the final TMDL example,
-we can create a data table with one row per actionId.</p>
-<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb47-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-1" tabindex="-1"></a><span class="co"># determine unique actionIds</span></span>
-<span id="cb47-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-2" tabindex="-1"></a>DE.actids <span class="ot">&lt;-</span> DE.meas <span class="sc">%&gt;%</span></span>
-<span id="cb47-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-3" tabindex="-1"></a>  <span class="co"># select columns</span></span>
-<span id="cb47-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(actionType, actionId, actionName, actionAgency, parameter,</span>
-<span id="cb47-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-5" tabindex="-1"></a>                completionDate, assessmentUnitId, fiscalYearEstablished,</span>
-<span id="cb47-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-6" tabindex="-1"></a>                planSummaryLink) <span class="sc">%&gt;%</span></span>
-<span id="cb47-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-7" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb47-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb47-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-9" tabindex="-1"></a>  <span class="co"># group by actionId</span></span>
-<span id="cb47-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(actionId) <span class="sc">%&gt;%</span></span>
-<span id="cb47-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-11" tabindex="-1"></a>  <span class="co"># create new columns to address issues with mulitple rows</span></span>
-<span id="cb47-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-12" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">parameters =</span> <span class="fu">paste</span>(<span class="fu">unique</span>(parameter), <span class="at">collapse =</span> <span class="st">", "</span>),</span>
-<span id="cb47-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-13" tabindex="-1"></a>                <span class="at">assessmentUnitIds =</span> <span class="fu">paste</span>(<span class="fu">unique</span>(assessmentUnitId), <span class="at">collapse =</span> <span class="st">", "</span>)) <span class="sc">%&gt;%</span></span>
-<span id="cb47-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-14" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>parameter, <span class="sc">-</span>assessmentUnitId) <span class="sc">%&gt;%</span></span>
-<span id="cb47-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-15" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb47-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-16" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb47-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-17" tabindex="-1"></a></span>
-<span id="cb47-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-18" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(DE.actids <span class="sc">%&gt;%</span></span>
-<span id="cb47-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-19" tabindex="-1"></a>                rExpertQuery<span class="sc">::</span><span class="fu">EQ_FormatPlanLinks</span>(),</span>
-<span id="cb47-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-20" tabindex="-1"></a>              <span class="at">escape =</span> <span class="cn">FALSE</span>,</span>
-<span id="cb47-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb47-21" tabindex="-1"></a>              <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">5</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-f28c96c61d9214bcfa72" style="width:100%;height:auto;"><div id="DataTables_Table_6_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_6_length"><label>Show <select name="DataTables_Table_6_length" aria-controls="DataTables_Table_6" class=""><option value="5">5</option><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_6_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_6"></label></div><div class="dataTables_scroll"><div class="dataTables_scrollHead" style="overflow: hidden; position: relative; border: 0px; width: 100%;"><div class="dataTables_scrollHeadInner" style="box-sizing: content-box; width: 1334.19px; padding-right: 0px;"><table class="display dataTable no-footer" style="margin-left: 0px; width: 1334.19px;"><thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="width: 7.79688px;"> </th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionType: activate to sort column ascending" style="width: 72.875px;">actionType</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="width: 53.6719px;">actionId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="width: 92.9062px;">actionName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionAgency: activate to sort column ascending" style="width: 91.8125px;">actionAgency</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="completionDate: activate to sort column ascending" style="width: 105.016px;">completionDate</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="fiscalYearEstablished: activate to sort column ascending" style="width: 143.969px;">fiscalYearEstablished</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="planSummaryLink: activate to sort column ascending" style="width: 191.516px;">planSummaryLink</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="parameters: activate to sort column ascending" style="width: 103.016px;">parameters</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="assessmentUnitIds: activate to sort column ascending" style="width: 127.609px;">assessmentUnitIds</th></tr>
-  </thead></table></div></div><div class="dataTables_scrollBody" style="position: relative; overflow: auto; width: 100%;"><table class="display dataTable no-footer" id="DataTables_Table_6" aria-describedby="DataTables_Table_6_info"><thead>
-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 7.79688px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 72.875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionType</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 53.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionId</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 92.9062px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionName</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="actionAgency: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 91.8125px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionAgency</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="completionDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 105.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">completionDate</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="fiscalYearEstablished: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 143.969px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">fiscalYearEstablished</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="planSummaryLink: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 191.516px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">planSummaryLink</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="parameters: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 103.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">parameters</div></th><th class="sorting" aria-controls="DataTables_Table_6" rowspan="1" colspan="1" aria-label="assessmentUnitIds: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 127.609px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">assessmentUnitIds</div></th></tr>
-  </thead>
-  <tbody><tr class="odd"><td>1</td><td>TMDL</td><td>32082</td><td>APPOQUINMINK - FRESH TIDAL</td><td>State</td><td>2006-12-14</td><td class="  dt-right">2007</td><td><a href="https://mywaterway.epa.gov/plan-summary/21DELAWQ/32082" target="_blank">https://mywaterway.epa.gov/plan-summary/21DELAWQ/32082</a></td><td>ENTEROCOCCUS</td><td>DE010-001-02_(A)</td></tr><tr class="even"><td>2</td><td>TMDL</td><td>31928</td><td>ARMY CREEK -LOWER</td><td>State</td><td>2006-12-04</td><td class="  dt-right">2007</td><td><a href="https://mywaterway.epa.gov/plan-summary/21DELAWQ/31928" target="_blank">https://mywaterway.epa.gov/plan-summary/21DELAWQ/31928</a></td><td>ENTEROCOCCUS</td><td>DE020-001_(A)</td></tr><tr class="odd"><td>3</td><td>TMDL</td><td>31812</td><td>BLACKBIRD CREEK -LOWER FROM ROUTE 13</td><td>State</td><td>2006-12-05</td><td class="  dt-right">2007</td><td><a href="https://mywaterway.epa.gov/plan-summary/21DELAWQ/31812" target="_blank">https://mywaterway.epa.gov/plan-summary/21DELAWQ/31812</a></td><td>NUTRIENTS</td><td>DE030-001_(A)</td></tr><tr class="even"><td>4</td><td>TMDL</td><td>24971</td><td>LOWER BRANDYWINE - MAINSTEM</td><td>EPA</td><td>2005-04-08</td><td class="  dt-right">2005</td><td><a href="https://mywaterway.epa.gov/plan-summary/21DELAWQ/24971" target="_blank">https://mywaterway.epa.gov/plan-summary/21DELAWQ/24971</a></td><td>ENTEROCOCCUS</td><td>DE040-001_(A)</td></tr><tr class="odd"><td>5</td><td>TMDL</td><td>32503</td><td>LOWER BRAOD CREEK - COLLINS, CULVERT DITCH, HOLLY DITCH, ROS</td><td>State</td><td>2006-12-14</td><td class="  dt-right">2007</td><td><a href="https://mywaterway.epa.gov/plan-summary/21DELAWQ/32503" target="_blank">https://mywaterway.epa.gov/plan-summary/21DELAWQ/32503</a></td><td>ENTEROCOCCUS</td><td>DE050-001_(A)</td></tr></tbody>
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target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25066<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25069' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25069<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31826' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31826<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31829' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31829<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25071' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25071<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25076' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25076<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32591' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32591<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31835' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31835<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31808' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31808<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31954' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31954<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32595' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32595<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31956' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31956<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31960' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31960<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31963' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31963<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31962' 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target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31747<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31750' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31750<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32612' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32612<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25126' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25126<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/40238' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/40238<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31948' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31948<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31977' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31977<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31974' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31974<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25137' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25137<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32622' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32622<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/24977' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/24977<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/24982' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/24982<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32514' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32514<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/24983' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/24983<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31935' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31935<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32056' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32056<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31942' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31942<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/40630' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/40630<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25000' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25000<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25955' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25955<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31501' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31501<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31503' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31503<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/30137' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/30137<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/30136' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/30136<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25037' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25037<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25042' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25042<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25045' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25045<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25046' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25046<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31820' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31820<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32590' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32590<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25077' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25077<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25079' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25079<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31834' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31834<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31739' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31739<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25086' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25086<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25087' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25087<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25100' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25100<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25105' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25105<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25962' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25962<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25964' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25964<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/40634' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/40634<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25117' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25117<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25124' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25124<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25130' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25130<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25131' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25131<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31761' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31761<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31976' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31976<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25971' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25971<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25139' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25139<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25140' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25140<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25931' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25931<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25933' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25933<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25934' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25934<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25939' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25939<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32085' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32085<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/24967' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/24967<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/24968' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/24968<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31816' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31816<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32510' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32510<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32511' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32511<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31939' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31939<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31804' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31804<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32554' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32554<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32555' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32555<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/30126' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/30126<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/30170' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/30170<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32558' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32558<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25041' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25041<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25043' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25043<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25051' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25051<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25055' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25055<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25064' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25064<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31822' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31822<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32585' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32585<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32586' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32586<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25073' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25073<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25082' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25082<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32593' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32593<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/31841' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/31841<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32603' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32603<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/34175' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/34175<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/34177' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/34177<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25094' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25094<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25104' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25104<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/34188' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/34188<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25125' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25125<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/32617' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/32617<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25970' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25970<\/a>","<a href='https://mywaterway.epa.gov/plan-summary/21DELAWQ/25138' target='_blank'>https://mywaterway.epa.gov/plan-summary/21DELAWQ/25138<\/a>"],["ENTEROCOCCUS","ENTEROCOCCUS","NUTRIENTS","ENTEROCOCCUS","ENTEROCOCCUS","ENTEROCOCCUS","ENTEROCOCCUS","ENTEROCOCCUS","DISSOLVED OXYGEN","NUTRIENTS","ENTEROCOCCUS","DISSOLVED OXYGEN, NUTRIENTS","DISSOLVED OXYGEN, NUTRIENTS","NUTRIENTS","FURAN COMPOUNDS, POLYCHLORINATED BIPHENYLS (PCBS), DIOXIN, 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-<!-- -->
-<ol start="2" style="list-style-type: decimal">
-<li><p><strong>How many actions (by actionId) were established in R3 in
-FY 2024? What was the most common type of action established in R3 in FY
-2024?</strong></p>
-<p>For this query, we will set region equal to 3 and both
-fisc_year_start and fisc_year_end to 2024. Then use <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://rstudio.github.io/DT/">DT</a> to summarize and display
-results as in the first EQ_Actions example.</p>
-<div class="sourceCode" id="cb48"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb48-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-1" tabindex="-1"></a><span class="co"># query for R3 FY2024 actions</span></span>
-<span id="cb48-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-2" tabindex="-1"></a>act.fy<span class="fl">.24</span> <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Actions</span>(<span class="at">region =</span> <span class="dv">3</span>,</span>
-<span id="cb48-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-3" tabindex="-1"></a>                                      <span class="at">fisc_year_start =</span> <span class="dv">2024</span>, </span>
-<span id="cb48-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-4" tabindex="-1"></a>                                      <span class="at">fisc_year_end =</span> <span class="dv">2024</span>,</span>
-<span id="cb48-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-5" tabindex="-1"></a>                                      <span class="at">api_key =</span> testkey)</span>
-<span id="cb48-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-6" tabindex="-1"></a></span>
-<span id="cb48-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-7" tabindex="-1"></a><span class="co"># count unique actionIds</span></span>
-<span id="cb48-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb48-8" tabindex="-1"></a>n_act.fy<span class="fl">.24</span> <span class="ot">&lt;-</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(act.fy<span class="fl">.24</span><span class="sc">$</span>actionId)</span></code></pre></div>
-<p>There were 7 unique actions by actionId established in R3 in FY 2024.
-We can create data table with counts for each actionType.</p>
-<div class="sourceCode" id="cb49"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb49-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-1" tabindex="-1"></a>act.fy.<span class="fl">24.</span>counts <span class="ot">&lt;-</span> act.fy<span class="fl">.24</span> <span class="sc">%&gt;%</span></span>
-<span id="cb49-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-2" tabindex="-1"></a>  <span class="co"># select columns</span></span>
-<span id="cb49-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(state, organizationId, organizationName, </span>
-<span id="cb49-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-4" tabindex="-1"></a>                  actionId, actionName, actionType) <span class="sc">%&gt;%</span></span>
-<span id="cb49-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-5" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb49-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb49-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-7" tabindex="-1"></a>  <span class="co"># group by action type</span></span>
-<span id="cb49-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(actionType) <span class="sc">%&gt;%</span></span>
-<span id="cb49-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-9" tabindex="-1"></a>  <span class="co"># count actionId per each action type</span></span>
-<span id="cb49-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">count =</span> <span class="fu">length</span>(<span class="fu">unique</span>(actionId)))</span>
-<span id="cb49-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-11" tabindex="-1"></a></span>
-<span id="cb49-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb49-12" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(act.fy.<span class="fl">24.</span>counts)</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-bf8fadf2b6039dd032e7" style="width:100%;height:auto;"><div id="DataTables_Table_7_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_7_length"><label>Show <select name="DataTables_Table_7_length" aria-controls="DataTables_Table_7" class=""><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_7_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_7"></label></div><table class="display dataTable no-footer" id="DataTables_Table_7" aria-describedby="DataTables_Table_7_info">
-  <thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" "> </th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_7" rowspan="1" colspan="1" aria-label="actionType: activate to sort column ascending">actionType</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_7" rowspan="1" colspan="1" aria-label="count: activate to sort column ascending">count</th></tr>
-  </thead><tbody><tr class="odd"><td>1</td><td>Advance Restoration Plan (ARP)</td><td class="  dt-right">1</td></tr><tr class="even"><td>2</td><td>TMDL</td><td class="  dt-right">6</td></tr></tbody>
-</table><div class="dataTables_info" id="DataTables_Table_7_info" role="status" aria-live="polite">Showing 1 to 2 of 2 entries</div><div class="dataTables_paginate paging_simple_numbers" id="DataTables_Table_7_paginate"><a class="paginate_button previous disabled" aria-controls="DataTables_Table_7" aria-disabled="true" role="link" data-dt-idx="previous" tabindex="-1" id="DataTables_Table_7_previous">Previous</a><span><a class="paginate_button current" aria-controls="DataTables_Table_7" role="link" aria-current="page" data-dt-idx="0" tabindex="0">1</a></span><a class="paginate_button next disabled" aria-controls="DataTables_Table_7" aria-disabled="true" role="link" data-dt-idx="next" tabindex="-1" id="DataTables_Table_7_next">Next</a></div></div></div>
-<script type="application/json" data-for="htmlwidget-bf8fadf2b6039dd032e7">{"x":{"filter":"none","vertical":false,"data":[["1","2"],["Advance Restoration Plan (ARP)","TMDL"],[1,6]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th> <\/th>\n      <th>actionType<\/th>\n      <th>count<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"columnDefs":[{"className":"dt-right","targets":2},{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"actionType","targets":1},{"name":"count","targets":2}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script></li>
-</ol>
-</div>
-<div id="eq_actionsdocuments" class="section level2">
-<h2>EQ_ActionsDocuments</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_ActionsDocuments.html"><strong>EQ_ActionsDocuments()</strong></a>
-queries ATTAINS Actions Documents data with user supplied parameters.
-One of its unique features is the ability to search the documents
-themselves by keyword or phrase.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>What are all the actions documents that contain the
-keyword “nutrient”?</strong></p>
-<p>The only query parameter we will provide is the keyword
-“nutrient”.</p>
-<div class="sourceCode" id="cb50"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb50-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb50-1" tabindex="-1"></a><span class="co"># Actions Documents containing "nutrient" </span></span>
-<span id="cb50-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb50-2" tabindex="-1"></a>nutrient.doc <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_ActionsDocuments</span>(<span class="at">doc_query =</span> <span class="st">"nutrient"</span>,</span>
-<span id="cb50-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb50-3" tabindex="-1"></a>                                                  <span class="at">api_key =</span> testkey )</span></code></pre></div>
-<p>This query yields 17,657 results. As well as providing the actionId
-and documentName for all results, <em>EQ_Actions()</em> also returns the
-column “actionDocumentUrl” containing the URL to link to the document.
-Because the query yields so many results, we’ll take a look at a random
-subset of 50 in a <a href="https://rstudio.github.io/DT/">DT</a> data
-table to understand the structure of the results.</p>
-<div class="sourceCode" id="cb51"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb51-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb51-1" tabindex="-1"></a><span class="co"># create data table</span></span>
-<span id="cb51-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb51-2" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(nutrient.doc <span class="sc">%&gt;%</span> </span>
-<span id="cb51-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb51-3" tabindex="-1"></a>                dplyr<span class="sc">::</span><span class="fu">slice_sample</span>(<span class="at">n =</span> <span class="dv">50</span>) <span class="sc">%&gt;%</span>          </span>
-<span id="cb51-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb51-4" tabindex="-1"></a>                rExpertQuery<span class="sc">::</span><span class="fu">EQ_FormatPlanLinks</span>(<span class="at">url.col =</span> <span class="st">"actionDocumentUrl"</span>),                  <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">10</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>), </span>
-<span id="cb51-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb51-5" tabindex="-1"></a>                 <span class="at">escape =</span> <span class="cn">FALSE</span>)</span></code></pre></div>
-<div class="datatables html-widget html-fill-item html-widget-static-bound" id="htmlwidget-251f8074497ead4e9702" style="width:100%;height:auto;"><div id="DataTables_Table_8_wrapper" class="dataTables_wrapper no-footer"><div class="dataTables_length" id="DataTables_Table_8_length"><label>Show <select name="DataTables_Table_8_length" aria-controls="DataTables_Table_8" class=""><option value="10">10</option><option value="25">25</option><option value="50">50</option><option value="100">100</option></select> entries</label></div><div id="DataTables_Table_8_filter" class="dataTables_filter"><label>Search:<input type="search" class="" placeholder="" aria-controls="DataTables_Table_8"></label></div><div class="dataTables_scroll"><div class="dataTables_scrollHead" style="overflow: hidden; position: relative; border: 0px; width: 100%;"><div class="dataTables_scrollHeadInner" style="box-sizing: content-box; width: 2917.5px; padding-right: 0px;"><table class="display dataTable no-footer" style="margin-left: 0px; width: 2917.5px;"><thead>
-    <tr><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="width: 15.5781px;"> </th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="rankPercent: activate to sort column ascending" style="width: 80.9375px;">rankPercent</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="objectId: activate to sort column ascending" style="width: 53.6719px;">objectId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionDocumentUrl: activate to sort column ascending" style="width: 330.344px;">actionDocumentUrl</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="width: 79.7188px;">actionId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="width: 81.25px;">actionName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionType: activate to sort column ascending" style="width: 72.875px;">actionType</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="completionDate: activate to sort column ascending" style="width: 105.016px;">completionDate</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="width: 95.6719px;">organizationId</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="width: 121.359px;">organizationName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationType: activate to sort column ascending" style="width: 114.859px;">organizationType</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="region: activate to sort column ascending" style="width: 42.7812px;">region</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="state: activate to sort column ascending" style="width: 32.6875px;">state</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="tmdlDate: activate to sort column ascending" style="width: 59.9062px;">tmdlDate</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentDesc: activate to sort column ascending" style="width: 100.359px;">documentDesc</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentFileName: activate to sort column ascending" style="width: 215.906px;">documentFileName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentFileTypeName: activate to sort column ascending" style="width: 160.781px;">documentFileTypeName</th><th class="dt-right sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentKey: activate to sort column ascending" style="width: 92.5781px;">documentKey</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentName: activate to sort column ascending" style="width: 215.906px;">documentName</th><th class="sorting" tabindex="0" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionDocumentType: activate to sort column ascending" style="width: 141.312px;">actionDocumentType</th></tr>
-  </thead></table></div></div><div class="dataTables_scrollBody" style="position: relative; overflow: auto; width: 100%;"><table class="display dataTable no-footer" id="DataTables_Table_8" aria-describedby="DataTables_Table_8_info"><thead>
-    <tr style="height: 0px;"><th class="sorting_disabled" rowspan="1" colspan="1" aria-label=" " style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 15.5781px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;"> </div></th><th class="dt-right sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="rankPercent: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 80.9375px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">rankPercent</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="objectId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 53.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">objectId</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionDocumentUrl: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 330.344px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionDocumentUrl</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 79.7188px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionId</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 81.25px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionName</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 72.875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionType</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="completionDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 105.016px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">completionDate</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationId: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 95.6719px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationId</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 121.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationName</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="organizationType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 114.859px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">organizationType</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="region: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 42.7812px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">region</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="state: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 32.6875px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">state</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="tmdlDate: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 59.9062px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">tmdlDate</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentDesc: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 100.359px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">documentDesc</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentFileName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 215.906px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">documentFileName</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentFileTypeName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 160.781px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">documentFileTypeName</div></th><th class="dt-right sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentKey: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 92.5781px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">documentKey</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="documentName: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 215.906px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">documentName</div></th><th class="sorting" aria-controls="DataTables_Table_8" rowspan="1" colspan="1" aria-label="actionDocumentType: activate to sort column ascending" style="padding-top: 0px; padding-bottom: 0px; border-top-width: 0px; border-bottom-width: 0px; height: 0px; width: 141.312px;"><div class="dataTables_sizing" style="height: 0px; overflow: hidden;">actionDocumentType</div></th></tr>
-  </thead>
-  <tbody><tr class="odd"><td>1</td><td class="  dt-right">2.4</td><td class="  dt-right">19137</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/35722/108179" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/35722/108179</a></td><td>35722</td><td>MOUNTAIN CREEK</td><td>TMDL</td><td>2008-11-10</td><td>WVDEP</td><td>West Virginia</td><td>State</td><td>03</td><td>WV</td><td>2008-11-10</td><td></td><td>NewRiverAL_DR.pdf</td><td>application/pdf</td><td class="  dt-right">108179</td><td>NewRiverAL_DR.pdf</td><td>TMDL Report</td></tr><tr class="even"><td>2</td><td class="  dt-right">2.1</td><td class="  dt-right">8194</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/21NJDEP1/10514/104066" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/21NJDEP1/10514/104066</a></td><td>10514</td><td>DRY BROOK AT RT 519 NEAR BRANCHVILLE</td><td>TMDL</td><td>2003-09-23</td><td>21NJDEP1</td><td>New Jersey</td><td>State</td><td>02</td><td>NJ</td><td>2003-09-23</td><td></td><td>NJ-2003-Fecal Coliform-28 Streams Northwest Region.pdf</td><td>application/pdf</td><td class="  dt-right">104066</td><td>NJ-2003-Fecal Coliform-28 Streams Northwest Region.pdf</td><td>TMDL Report</td></tr><tr class="odd"><td>3</td><td class="  dt-right">47.8</td><td class="  dt-right">3281</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/21NMEX/64642/101578" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/21NMEX/64642/101578</a></td><td>64642</td><td>TMDL for the Mora River (USGS Gage East of Shoemaker to Hwy 434)</td><td>TMDL</td><td>2015-07-22</td><td>21NMEX</td><td>New Mexico</td><td>State</td><td>06</td><td>NM</td><td>2015-07-22</td><td></td><td>Final Mora River nutrient TMDL update_wqcc approved.pdf</td><td>application/pdf</td><td class="  dt-right">101578</td><td>Final Mora River nutrient TMDL update_wqcc approved.pdf</td><td>TMDL Report</td></tr><tr class="even"><td>4</td><td class="  dt-right">3</td><td class="  dt-right">14643</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/66610/108133" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/66610/108133</a></td><td>66610</td><td>Left Fork/Sandy Creek</td><td>TMDL</td><td>2016-06-17</td><td>WVDEP</td><td>West Virginia</td><td>State</td><td>03</td><td>WV</td><td>2016-06-17</td><td></td><td>USEPA Approved Tygart_Public_Report_June 2016_modified.pdf</td><td>application/pdf</td><td class="  dt-right">108133</td><td>USEPA Approved Tygart_Public_Report_June 2016_modified.pdf</td><td>TMDL Report</td></tr><tr class="odd"><td>5</td><td class="  dt-right">7.7</td><td class="  dt-right">25499</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/WYDEQ/WY0/110898" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/WYDEQ/WY0/110898</a></td><td>WY0</td><td>Prairie Dog Creek Watershed E. coli Total Maximum Daily Loads</td><td>TMDL</td><td>2018-01-18</td><td>WYDEQ</td><td>Wyoming</td><td>State</td><td>08</td><td>WY</td><td>2018-10-24</td><td></td><td>Prairie Dog Creek TMDL_Document 1.pdf</td><td>application/pdf</td><td class="  dt-right">110898</td><td>Prairie Dog Creek TMDL, Appendix - Document 1</td><td>Appendices</td></tr><tr class="even"><td>6</td><td class="  dt-right">11.8</td><td class="  dt-right">22320</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/21OHIO/9583/109806" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/21OHIO/9583/109806</a></td><td>9583</td><td>MILL CREEK-SCIOTO (CROSSES RUN)</td><td>TMDL</td><td>2003-09-02</td><td>21OHIO</td><td>Ohio</td><td>State</td><td>05</td><td>OH</td><td>2003-09-02</td><td></td><td>MillCk-decision-final.pdf</td><td>application/pdf</td><td class="  dt-right">109806</td><td>MillCk-decision-final.pdf</td><td>TMDL Report</td></tr><tr class="odd"><td>7</td><td class="  dt-right">28</td><td class="  dt-right">24626</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/21OHIO/38282/109955" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/21OHIO/38282/109955</a></td><td>38282</td><td>WHITE OAK CREEK WATERSHED</td><td>TMDL</td><td>2010-02-26</td><td>21OHIO</td><td>Ohio</td><td>State</td><td>05</td><td>OH</td><td>2010-02-26</td><td></td><td>38282_WOC_TMDL_Final_AppG.pdf</td><td>application/pdf</td><td class="  dt-right">109955</td><td>38282_WOC_TMDL_Final_AppG.pdf</td><td>TMDL Report</td></tr><tr class="even"><td>8</td><td class="  dt-right">1</td><td class="  dt-right">13095</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/MA_DEP/38905/107197" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/MA_DEP/38905/107197</a></td><td>38905</td><td>LEE RIVER</td><td>TMDL</td><td>2010-07-21</td><td>MA_DEP</td><td>Massachusetts</td><td>State</td><td>01</td><td>MA</td><td>2010-07-21</td><td></td><td>Final Narragansett-MHB TMDL-07-13-10-final.pdf</td><td>application/pdf</td><td class="  dt-right">107197</td><td>Final Narragansett-MHB TMDL-07-13-10-final.pdf</td><td>TMDL Report</td></tr><tr class="odd"><td>9</td><td class="  dt-right">2.2</td><td class="  dt-right">18097</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/39870/108142" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/WVDEP/39870/108142</a></td><td>39870</td><td>CONNER RUN</td><td>TMDL</td><td>2010-12-07</td><td>WVDEP</td><td>West Virginia</td><td>State</td><td>03</td><td>WV</td><td>2010-12-07</td><td></td><td>Cheat River, WVA_combination.pdf</td><td>application/pdf</td><td class="  dt-right">108142</td><td>Cheat River, WVA_combination.pdf</td><td>TMDL Report</td></tr><tr class="even"><td>10</td><td class="  dt-right">13.7</td><td class="  dt-right">30936</td><td><a href="https://attains.epa.gov/attains-public/api/documents/actions/21NYDECA/NY-1701-0038_Moriches%20Bay%20West_DO/205826" target="_blank">https://attains.epa.gov/attains-public/api/documents/actions/21NYDECA/NY-1701-0038_Moriches Bay West_DO/205826</a></td><td>NY-1701-0038_Moriches Bay West_DO</td><td>Alternative Restoration Plan for Suffolk County Nitrogen Impaired Waters</td><td>Advance Restoration Plan (ARP)</td><td>2021-06-01</td><td>21NYDECA</td><td>New York</td><td>State</td><td>02</td><td>NY</td><td></td><td></td><td>NYS Suffolk County Alternative Restoration Plan 03.15.21.pdf</td><td>application/pdf</td><td class="  dt-right">205826</td><td>Alternative Restoration Plan for Suffolk County Nitrogen Impaired Waters</td><td>Advance Restoration Plan (ARP)</td></tr></tbody>
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Loads","MILL CREEK-SCIOTO (CROSSES RUN)","WHITE OAK CREEK WATERSHED","LEE RIVER","CONNER RUN","Alternative Restoration Plan for Suffolk County Nitrogen Impaired Waters","RUTHERFORD BRANCH","Total Maximum Daily Loads of Sediment/Total Suspended Solids for the Anacostia River Basin","PAPAKATING CREEK AT SUSSEX","KELLY RUN","DALECARLIA TRIBUTARY","WARREN COVE","Islands Watersheds","TOTAL MAXIMUM DAILY LOADS FOR TOTAL NITROGEN, TOTAL PHOSPHORUS, AND ORGANIC ENRICHMENT/LOW DISSOLVED OXYGEN IN TUSCOLAMETA, TALLABOGUE, AND SHOCKALOO CREEKS, PEARL RIVER BASIN, MISSISSIPPI","Total Maximum Daily Load for pH in Washington Ship Channel","Clear Creek Watershed Protection Plan","TOWER LAKE (RJO)","TOTAL MAXIMUM DAILY LOAD EVALUATION FOR DRY BRANCH AND EIGHTMILE CREEK IN THE OGEECHEE RIVER BASIN FOR SEDIMENT","Mill Creek","LOS BERROS CREEK NITRATE TMDL","TROUBLESOME CREEK","WASSERMANN LAKE","Cassity Fork","UNT/DRY BRANCH RM 0.7 (CABIN CREEK)","MIDDLE FORK/WILLIAMS RIVER","OXON RUN","DEEP 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Virginia","New Jersey","New Mexico","West Virginia","Wyoming","Ohio","Ohio","Massachusetts","West Virginia","New York","West Virginia","District of Columbia","New Jersey","West Virginia","District of Columbia","Massachusetts","Massachusetts","Mississippi","District of Columbia","Texas","Illinois","Georgia Environmental Protection Division","West Virginia","California","Missouri","Minnesota","West Virginia","West Virginia","West Virginia","District of Columbia","Delaware","Delaware","Kansas","District of Columbia","West Virginia","West Virginia","Montana","Delaware","Nebraska","West Virginia","Tennessee","West Virginia","Ohio","West Virginia","Minnesota","West Virginia","Delaware","Pennsylvania","West Virginia","West Virginia"],["State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State","State"],["03","02","06","03","08","05","05","01","03","02","03","03","02","03","03","01","01","04","03","06","05","04","03","09","07","05","03","03","03","03","03","03","07","03","03","03","08","03","07","03","04","03","05","03","05","03","03","03","03","03"],["WV","NJ","NM","WV","WY","OH","OH","MA","WV","NY","WV","DC","NJ","WV","DC","MA","MA","MS","DC","TX","IL","GA","WV","CA","MO","MN","WV","WV","WV","DC","DE","DE","KS","DC","WV","WV","MT","DE","NE","WV","TN","WV","OH","WV","MN","WV","DE","PA","WV","WV"],["2008-11-10","2003-09-23","2015-07-22","2016-06-17","2018-10-24","2003-09-02","2010-02-26","2010-07-21","2010-12-07",null,"2002-09-30","2012-07-25","2003-09-23","2010-12-07","2005-05-30","2008-02-13",null,"2009-06-29","2004-12-15",null,"2007-09-28","2005-03-07","2016-06-17","2012-06-11","2006-11-22","2011-04-25","2016-06-17","2005-01-07","2008-03-27","2004-12-15","2006-12-14","2006-12-04","2015-06-17","2003-08-29","2010-12-07","2009-08-27","2009-09-11","2006-12-14","2006-01-11","2006-09-26","2005-11-29","2014-07-29","2003-09-26","2009-09-30","2016-08-04","2005-01-07","2004-12-15","2011-10-14","2016-06-17","2009-09-30"],[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],["NewRiverAL_DR.pdf","NJ-2003-Fecal 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Creek Final TMDL after Response to Comments.pdf","MCW Lakes TMDL (Nutrient)_Final Draft (April 2011).pdf","USEPA Approved Tygart_Public_Report_June 2016_modified.pdf","UpKanawhaAL_DR.pdf","Gauley_AL_DR.pdf","dc_tmdl-OxonRun-OxonRunDR.pdf","ChesDrainBasinsBacteriaTMDLAnalyses.pdf","ArmyRedLionDragonRunTMDLAnalyses.pdf","KSNeoshoRiverParkervilleTMDL.pdf","ARToxicsTMDLFinalReport_030818.pdf","Cheat River, WVA_combination.pdf","YoughioghenyAL_DR_Report.pdf","Boulder_BigTimber_TPA_Final.pdf","DEBacteria2006AL_DR.pdf","NELoupRiverBasin_TMDL.pdf","Coal_AL_DR.pdf","LClinch_Fecal_TMDL_Final_Text.pdf","West Fork TMDL report 2014.pdf","Cuyahoga_lower_final_appJ.pdf","DunkardCreekAL_DR.pdf","wq-iw5-07e.pdf","UpperOhioNorth_AL_DR_.Reportpdf.pdf","LittleAssawomanBayandTribsTMDLAnalysis.pdf","Yellow Creek_Approval.pdf","USEPA Approved Tygart_Public_Report_June 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2016_modified.pdf","LOSBERROS-NIT-TMDL-06112012.pdf","Troublesome Creek Final TMDL after Response to Comments.pdf","MCW Lakes TMDL (Nutrient)_Final Draft (April 2011).pdf","USEPA Approved Tygart_Public_Report_June 2016_modified.pdf","UpKanawhaAL_DR.pdf","Gauley_AL_DR.pdf","dc_tmdl-OxonRun-OxonRunDR.pdf","ChesDrainBasinsBacteriaTMDLAnalyses","ArmyRedLionDragonRunTMDLAnalyses","KSNeoshoRiverParkervilleTMDL.pdf","ARToxicsTMDLFinalReport_030818.pdf","Cheat River, WVA_combination.pdf","YoughioghenyAL_DR_Report.pdf","Boulder_BigTimber_TPA_Final.pdf","DEBacteria2006AL_DR.pdf","NELoupRiverBasin_TMDL.pdf","Coal_AL_DR.pdf","LClinch_Fecal_TMDL_Final_Text.pdf","West Fork TMDL report 2014.pdf","Cuyahoga_lower_final_appJ.pdf","DunkardCreekAL_DR.pdf","wq-iw5-07e.pdf","UpperOhioNorth_AL_DR_.Reportpdf.pdf","LittleAssawomanBayandTribsTMDLAnalysis","Yellow Creek_Approval","USEPA Approved Tygart_Public_Report_June 2016_modified.pdf","DunkardCreekAL_DR.pdf"],["TMDL Report","TMDL Report","TMDL Report","TMDL Report","Appendices","TMDL Report","TMDL Report","TMDL Report","TMDL Report","Advance Restoration Plan (ARP)","Decision Rationale","EPA Decision Rationale","TMDL Report","TMDL Report","Other","Transmitted Approval Letter","EPA Decision Rationale","TMDL Report","Transmitted Approval Letter","Advance Restoration Plan (ARP)","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","Other","TMDL Report","TMDL Report","TMDL Report","Other","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","TMDL Report","Other","TMDL Report","Other","TMDL Report","EPA Decision Rationale","TMDL Report","Other"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th> <\/th>\n      <th>rankPercent<\/th>\n      <th>objectId<\/th>\n      <th>actionDocumentUrl<\/th>\n      <th>actionId<\/th>\n      <th>actionName<\/th>\n      <th>actionType<\/th>\n      <th>completionDate<\/th>\n      <th>organizationId<\/th>\n      <th>organizationName<\/th>\n      <th>organizationType<\/th>\n      <th>region<\/th>\n      <th>state<\/th>\n      <th>tmdlDate<\/th>\n      <th>documentDesc<\/th>\n      <th>documentFileName<\/th>\n      <th>documentFileTypeName<\/th>\n      <th>documentKey<\/th>\n      <th>documentName<\/th>\n      <th>actionDocumentType<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"pageLength":10,"scrollX":true,"columnDefs":[{"className":"dt-right","targets":[1,2,17]},{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"rankPercent","targets":1},{"name":"objectId","targets":2},{"name":"actionDocumentUrl","targets":3},{"name":"actionId","targets":4},{"name":"actionName","targets":5},{"name":"actionType","targets":6},{"name":"completionDate","targets":7},{"name":"organizationId","targets":8},{"name":"organizationName","targets":9},{"name":"organizationType","targets":10},{"name":"region","targets":11},{"name":"state","targets":12},{"name":"tmdlDate","targets":13},{"name":"documentDesc","targets":14},{"name":"documentFileName","targets":15},{"name":"documentFileTypeName","targets":16},{"name":"documentKey","targets":17},{"name":"documentName","targets":18},{"name":"actionDocumentType","targets":19}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script></li>
-<li><p><strong>How many actions documents that contain the keyword
-“nutrient” are from each region?</strong></p>
-<p>To answer this question, wcount the number of unique actionIds per
-region from the initial “nutrients” keyword query. We can display the
-results in a <a href="https://plotly.com/r/">plotly</a> bar plot.</p>
-<div class="sourceCode" id="cb52"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb52-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-1" tabindex="-1"></a>nutrient.doc.regions <span class="ot">&lt;-</span> nutrient.doc <span class="sc">%&gt;%</span></span>
-<span id="cb52-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-2" tabindex="-1"></a>  <span class="co"># group by region</span></span>
-<span id="cb52-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(region) <span class="sc">%&gt;%</span></span>
-<span id="cb52-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-4" tabindex="-1"></a>  <span class="co"># count action ids by region</span></span>
-<span id="cb52-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-5" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">count =</span> <span class="fu">length</span>(<span class="fu">unique</span>(actionId)))</span>
-<span id="cb52-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-6" tabindex="-1"></a></span>
-<span id="cb52-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-7" tabindex="-1"></a><span class="co"># create bar plot</span></span>
-<span id="cb52-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-8" tabindex="-1"></a>plotly<span class="sc">::</span><span class="fu">plot_ly</span>(<span class="at">data =</span> nutrient.doc.regions,</span>
-<span id="cb52-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-9" tabindex="-1"></a>  <span class="at">x =</span> <span class="sc">~</span>region,</span>
-<span id="cb52-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-10" tabindex="-1"></a>  <span class="at">y =</span> <span class="sc">~</span>count,</span>
-<span id="cb52-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-11" tabindex="-1"></a>  <span class="at">type =</span> <span class="st">"bar"</span></span>
-<span id="cb52-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb52-12" tabindex="-1"></a>)</span></code></pre></div>
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-<div id="eq_ausmls" class="section level2">
-<h2>EQ_AUsMLs</h2>
-<ol style="list-style-type: decimal">
-<li><p><strong>Which monitoringLocations correspond to assessmentUnits
-in Alaska? How many monitoringLocations are associated with
-assessmentUnits? Which organizations are the monitoringLocations
-from?</strong></p>
-<p>We start by querying for all monitoringLocations in Alaska and then
-use <a href="https://dplyr.tidyverse.org/">dplyr</a> functions to retain
-only rows that have a value for monitoringLocation. We can create a <a href="https://rstudio.github.io/DT/">DT</a> data table to review the
-results. We can also use the base R functions sort and unique to make a
-list of the organizations represented in the monitoringLocationOrgId
-column and organize them alphabetically.</p>
-<div class="sourceCode" id="cb53"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb53-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-1" tabindex="-1"></a><span class="co"># query for assessment units and monitoring locations from Alaska</span></span>
-<span id="cb53-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-2" tabindex="-1"></a>ak.mls <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_AUsMLs</span>(<span class="at">statecode =</span> <span class="st">"AK"</span>,</span>
-<span id="cb53-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-3" tabindex="-1"></a>                                  <span class="at">api_key =</span> testkey)</span>
-<span id="cb53-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-4" tabindex="-1"></a></span>
-<span id="cb53-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-5" tabindex="-1"></a><span class="co"># filter for assessment units with monitoring locations from Alaska</span></span>
-<span id="cb53-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-6" tabindex="-1"></a>filt.ak.mls <span class="ot">&lt;-</span> ak.mls <span class="sc">%&gt;%</span></span>
-<span id="cb53-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-7" tabindex="-1"></a>  <span class="co"># filter for rows with a valule for monitoring location id</span></span>
-<span id="cb53-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(monitoringLocationId),</span>
-<span id="cb53-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-9" tabindex="-1"></a>                monitoringLocationId <span class="sc">!=</span> <span class="st">""</span>) <span class="sc">%&gt;%</span></span>
-<span id="cb53-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-10" tabindex="-1"></a>  <span class="co"># select rows for review</span></span>
-<span id="cb53-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-11" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(assessmentUnitId, assessmentUnitName, monitoringLocationId,</span>
-<span id="cb53-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-12" tabindex="-1"></a>                monitoringLocationOrgId) <span class="sc">%&gt;%</span></span>
-<span id="cb53-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-13" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb53-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-14" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb53-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-15" tabindex="-1"></a></span>
-<span id="cb53-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-16" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(filt.ak.mls, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">10</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span>
-<span id="cb53-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-17" tabindex="-1"></a></span>
-<span id="cb53-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-18" tabindex="-1"></a><span class="co"># list of orgs inlcuded in monitoringLocationOrgId</span></span>
-<span id="cb53-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb53-19" tabindex="-1"></a>ak.orgs <span class="ot">&lt;-</span> <span class="fu">sort</span>(<span class="fu">unique</span>(filt.ak.mls<span class="sc">$</span>monitoringLocationOrgId))</span></code></pre></div>
-<p>There are 208 monitoringLocationIds associated with assessmentUnits
-in Alaska. The monitoringLocationIds come from 5 different
-organizations: `ADOT&amp;PF, AKDECWQ, Kenai Watershed Forum, National
-Park Service, and USFWS_ALASKA .</p></li>
-<li><p><strong>Are there active assessmentUnits without any listed
-monitoringLocations in Alaska?</strong></p>
-<p>This question can be answered by filtering the initial Alaska query
-results for assessmentUnitIds without any corresponding
-monitoringLocationIdentifiers.</p>
-<div class="sourceCode" id="cb54"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb54-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-1" tabindex="-1"></a><span class="co"># filter Alaska data set for assessmentUnitIds without listed monitoringLocationIds</span></span>
-<span id="cb54-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-2" tabindex="-1"></a>no.ml.ak <span class="ot">&lt;-</span> ak.mls <span class="sc">%&gt;%</span></span>
-<span id="cb54-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(<span class="sc">!</span>assessmentUnitId <span class="sc">%in%</span> filt.ak.mls<span class="sc">$</span>assessmentUnitId)</span>
-<span id="cb54-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-4" tabindex="-1"></a></span>
-<span id="cb54-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-5" tabindex="-1"></a><span class="co"># count number of unique asessment units without listed monitoringLocationIds</span></span>
-<span id="cb54-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb54-6" tabindex="-1"></a>n_no.ml.ak <span class="ot">&lt;-</span> dplyr<span class="sc">::</span><span class="fu">n_distinct</span>(no.ml.ak<span class="sc">$</span>assessmentUnitId)</span></code></pre></div>
-<p>There are active assessmentUnits in Alaska without
-monitoringLocations listed in ATTAINS.</p></li>
-</ol>
-</div>
-<div id="eq_sources" class="section level2">
-<h2>EQ_Sources</h2>
-<ol style="list-style-type: decimal">
-<li><p><strong>Which states in Region 6 have listed Sources in their
-latest report cycle?</strong></p>
-<p>Start by querying for EQ_Source for region 6. Then use <a href="https://dplyr.tidyverse.org/">dplyr</a> and <a href="https://openintrostat.github.io/usdata/index.html">usdata</a> to
-manipulate the data and create a list of the region 6 states that list
-sources for any assessments in their latest report cycle.</p>
-<div class="sourceCode" id="cb55"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb55-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb55-1" tabindex="-1"></a><span class="co"># query for sources in the latest assessment cycle in R6</span></span>
-<span id="cb55-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb55-2" tabindex="-1"></a>r6.sources <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_Sources</span>(<span class="at">region =</span> <span class="dv">6</span>,</span>
-<span id="cb55-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb55-3" tabindex="-1"></a>                                       <span class="at">api_key =</span> testkey)</span></code></pre></div>
-<pre><code>## Rows: 36176 Columns: 21
-## ── Column specification ────────────────────────────────────────────────────────
-## Delimiter: ","
-## chr (17): region, state, organizationType, organizationId, organizationName,...
-## dbl  (4): objectId, reportingCycle, cycleId, waterSize
-## 
-## ℹ Use `spec()` to retrieve the full column specification for this data.
-## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.</code></pre>
-<div class="sourceCode" id="cb57"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb57-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-1" tabindex="-1"></a><span class="co"># filter for states with listed sources</span></span>
-<span id="cb57-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-2" tabindex="-1"></a>r6.sources.filter <span class="ot">&lt;-</span> r6.sources <span class="sc">%&gt;%</span></span>
-<span id="cb57-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-3" tabindex="-1"></a>  <span class="co"># remove all rows without a listed source</span></span>
-<span id="cb57-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(sourceName)) <span class="sc">%&gt;%</span></span>
-<span id="cb57-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-5" tabindex="-1"></a>  <span class="co"># select state</span></span>
-<span id="cb57-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(state) <span class="sc">%&gt;%</span></span>
-<span id="cb57-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-7" tabindex="-1"></a>  <span class="co"># retain distinct state</span></span>
-<span id="cb57-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb57-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-9" tabindex="-1"></a>  <span class="co"># create list</span></span>
-<span id="cb57-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">pull</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb57-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-11" tabindex="-1"></a>  <span class="co"># convert abbreviation to state name</span></span>
-<span id="cb57-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-12" tabindex="-1"></a>  usdata<span class="sc">::</span><span class="fu">abbr2state</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb57-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-13" tabindex="-1"></a>  <span class="co"># sort alphabetically</span></span>
-<span id="cb57-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb57-14" tabindex="-1"></a>  <span class="fu">sort</span>()</span></code></pre></div>
-<p>Arkansas, Louisiana, New Mexico, Oklahoma and Texas all listed
-sources in their latest report cycles.</p></li>
-<li><p><strong>What are the most commonly listed sources in the latest
-report cycle in each Region 6 state?</strong></p>
-<p>Using the same initial query results from the previous question, we
-can use <a href="https://dplyr.tidyverse.org/">dplyr</a> functions to
-count the number of times a source is listed by each state, select the
-most common source from each state and make a a <a href="https://rstudio.github.io/DT/">DT</a> data table of the
-results.</p>
-<div class="sourceCode" id="cb58"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb58-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-1" tabindex="-1"></a><span class="co"># count the number of times a source is listed for each state</span></span>
-<span id="cb58-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-2" tabindex="-1"></a>r6.sources.summarize <span class="ot">&lt;-</span> r6.sources <span class="sc">%&gt;%</span></span>
-<span id="cb58-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-3" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(state, organizationId, assessmentUnitId, sourceName) <span class="sc">%&gt;%</span></span>
-<span id="cb58-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-4" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb58-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-5" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(state, organizationId, sourceName) <span class="sc">%&gt;%</span></span>
-<span id="cb58-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-6" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarize</span>(<span class="at">count =</span> <span class="fu">length</span>(assessmentUnitId))<span class="sc">%&gt;%</span></span>
-<span id="cb58-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-7" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">ungroup</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb58-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">group_by</span>(state) <span class="sc">%&gt;%</span></span>
-<span id="cb58-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-9" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">slice_max</span>(count)</span>
-<span id="cb58-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-10" tabindex="-1"></a></span>
-<span id="cb58-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-11" tabindex="-1"></a><span class="co"># data table for max count</span></span>
-<span id="cb58-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb58-12" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(r6.sources.summarize)</span></code></pre></div></li>
-</ol>
-</div>
-<div id="eq_catchcorr" class="section level2">
-<h2>EQ_CatchCorr</h2>
-<p><a href="https://usepa.github.io/rExpertQuery/reference/EQ_CatchCorr.html"><strong>EQ_CatchCorr()</strong></a>
-queries ATTAINS Catchment Correspondance data. These queries return
-large files, particularly if a large geospatial area is defined, so best
-practice is to make your query as specific as possible. Many machines
-may not have enough memory to load an entire state’s worth of catchment
-correspondence data in an R session. It is also possible to focus on a
-specific assessment unit in catchment correspondence queries.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>Which catchments correspond to assessmentUnitId”IL_N-99”
-?</strong></p>
-<p>We can start with a very focused query to retrieve information for
-the Illinios assessment unit “IL_N-99”. Then we’ll use <a href="https://dplyr.tidyverse.org/">dplyr</a> functions to retain the
-unique rows make a a <a href="https://rstudio.github.io/DT/">DT</a> data
-table.</p>
-<div class="sourceCode" id="cb59"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb59-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-1" tabindex="-1"></a><span class="co"># query for IL_N-99 catchment data</span></span>
-<span id="cb59-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-2" tabindex="-1"></a>il.n99.catch <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_CatchCorr</span>(<span class="at">statecode =</span> <span class="st">"IL"</span>,</span>
-<span id="cb59-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-3" tabindex="-1"></a>                          <span class="at">auid =</span> <span class="st">"IL_N-99"</span>,</span>
-<span id="cb59-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-4" tabindex="-1"></a>                          <span class="at">api_key =</span> testkey)</span>
-<span id="cb59-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-5" tabindex="-1"></a></span>
-<span id="cb59-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-6" tabindex="-1"></a>il.n99.catch <span class="ot">&lt;-</span> il.n99.catch <span class="sc">%&gt;%</span></span>
-<span id="cb59-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-7" tabindex="-1"></a>  <span class="co"># remove objectId</span></span>
-<span id="cb59-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-8" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>objectId) <span class="sc">%&gt;%</span></span>
-<span id="cb59-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-9" tabindex="-1"></a>  <span class="co"># retain unique rows</span></span>
-<span id="cb59-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-10" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">distinct</span>()</span>
-<span id="cb59-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-11" tabindex="-1"></a></span>
-<span id="cb59-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-12" tabindex="-1"></a><span class="co"># create data table</span></span>
-<span id="cb59-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb59-13" tabindex="-1"></a>DT<span class="sc">::</span><span class="fu">datatable</span>(il.n99.catch, <span class="at">options =</span> <span class="fu">list</span>(<span class="at">pageLength =</span> <span class="dv">10</span>, <span class="at">scrollX =</span> <span class="cn">TRUE</span>))</span></code></pre></div></li>
-<li><p><strong>How large of a catchment area corresponds to
-““IL_N-99”?</strong></p>
-<p>We will need some additional information in order to answer this
-question. We could get catchment areas from the nhdplusTools package or
-from ATTAINS geospatial web services. For this example, we will use
-ATTAINS geospatial web services as this will also allow us to create a
-map of the catchments and assessment unit. This example utlizes a few
-new R packages, <a href="https://httr.r-lib.org/">httr</a> (wrapper for
-curl packge), <a href="https://cran.r-project.org/web/packages/leaflet/index.html">leaflet</a>
-(interactive maps), and <a href="https://cran.r-project.org/web/packages/sf/index.html">sf</a>
-(spatial vector data).</p>
-<p>The first step is to set up query parameters for ATTAINS geospatial
-webservices. Then query the assessment lines and catchment associations
-layers to retrieve the geospatial data for the assessment unit and its
-associated catchments. The data from the catchment association layer
-allows us to sum the total area for all the catchments associated with
-IL_N-99.</p>
-<div class="sourceCode" id="cb60"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb60-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-1" tabindex="-1"></a><span class="co"># set up query params for ATTAINS geospatial web services</span></span>
-<span id="cb60-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-2" tabindex="-1"></a>query.params <span class="ot">&lt;-</span> <span class="fu">list</span>(</span>
-<span id="cb60-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-3" tabindex="-1"></a>    <span class="at">where =</span> <span class="st">"assessmentunitidentifier IN ('IL_N-99')"</span>,</span>
-<span id="cb60-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-4" tabindex="-1"></a>    <span class="at">outFields =</span> <span class="st">"*"</span>,</span>
-<span id="cb60-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-5" tabindex="-1"></a>    <span class="at">f =</span> <span class="st">"geojson"</span></span>
-<span id="cb60-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-6" tabindex="-1"></a>  )</span>
-<span id="cb60-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-7" tabindex="-1"></a></span>
-<span id="cb60-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-8" tabindex="-1"></a><span class="co"># query ATTAINS geospatial assessments lines layer</span></span>
-<span id="cb60-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-9" tabindex="-1"></a>lines.response <span class="ot">&lt;-</span> httr<span class="sc">::</span><span class="fu">GET</span>(<span class="st">"https://gispub.epa.gov/arcgis/rest/services/OW/ATTAINS_Assessment/MapServer/1/query?"</span>,</span>
-<span id="cb60-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-10" tabindex="-1"></a>                        <span class="at">query =</span> query.params)</span>
-<span id="cb60-11"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-11" tabindex="-1"></a></span>
-<span id="cb60-12"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-12" tabindex="-1"></a><span class="co"># read content from ATTAINS geospatial assessments lines layer </span></span>
-<span id="cb60-13"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-13" tabindex="-1"></a>lines.geojson <span class="ot">&lt;-</span> httr<span class="sc">::</span><span class="fu">content</span>(lines.response, <span class="at">as =</span> <span class="st">"text"</span>, <span class="at">encoding =</span> <span class="st">"UTF-8"</span>)</span>
-<span id="cb60-14"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-14" tabindex="-1"></a></span>
-<span id="cb60-15"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-15" tabindex="-1"></a><span class="co"># get sf from ATTAINS geospatial assessments lines layer</span></span>
-<span id="cb60-16"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-16" tabindex="-1"></a>lines.sf <span class="ot">&lt;-</span> sf<span class="sc">::</span><span class="fu">st_read</span>(lines.geojson, <span class="at">quiet =</span> <span class="cn">TRUE</span>)</span>
-<span id="cb60-17"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-17" tabindex="-1"></a></span>
-<span id="cb60-18"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-18" tabindex="-1"></a><span class="co"># query ATTAINS geospatial catchment association layer</span></span>
-<span id="cb60-19"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-19" tabindex="-1"></a>catch.response <span class="ot">&lt;-</span> httr<span class="sc">::</span><span class="fu">GET</span>(<span class="st">"https://gispub.epa.gov/arcgis/rest/services/OW/ATTAINS_Assessment/MapServer/3/query?"</span>,</span>
-<span id="cb60-20"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-20" tabindex="-1"></a>                        <span class="at">query =</span> query.params)</span>
-<span id="cb60-21"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-21" tabindex="-1"></a></span>
-<span id="cb60-22"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-22" tabindex="-1"></a><span class="co"># read content from ATTAINS geospatial catchment association layer </span></span>
-<span id="cb60-23"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-23" tabindex="-1"></a>catch.geojson <span class="ot">&lt;-</span> httr<span class="sc">::</span><span class="fu">content</span>(catch.response, <span class="at">as =</span> <span class="st">"text"</span>, <span class="at">encoding =</span> <span class="st">"UTF-8"</span>)</span>
-<span id="cb60-24"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-24" tabindex="-1"></a></span>
-<span id="cb60-25"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-25" tabindex="-1"></a><span class="co"># # get sf from ATTAINS geospatial assessments lines layer</span></span>
-<span id="cb60-26"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-26" tabindex="-1"></a>catch.sf <span class="ot">&lt;-</span> sf<span class="sc">::</span><span class="fu">st_read</span>(catch.geojson, <span class="at">quiet =</span> <span class="cn">TRUE</span>)</span>
-<span id="cb60-27"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-27" tabindex="-1"></a></span>
-<span id="cb60-28"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-28" tabindex="-1"></a><span class="co"># sum the catchment areas that correspond to IL_N-99</span></span>
-<span id="cb60-29"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-29" tabindex="-1"></a>sum.catch <span class="ot">&lt;-</span> catch.sf <span class="sc">%&gt;%</span></span>
-<span id="cb60-30"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-30" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">summarise</span>(<span class="at">total =</span> <span class="fu">sum</span>(areasqkm)) <span class="sc">%&gt;%</span></span>
-<span id="cb60-31"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-31" tabindex="-1"></a>  sf<span class="sc">::</span><span class="fu">st_drop_geometry</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb60-32"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb60-32" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">pull</span>()</span></code></pre></div>
-<p>The total catchment area associated with IL_N-99 is 35.6019.</p>
-<p>To create map of IL_N-99 and and its associated catchments, we can
-create a leaflet map with the defaul Open Street Map tile then add the
-catchment polygons with a popup contain the nhdplusid and area in sq km.
-The final step is to add the assessment unit line.</p>
-<div class="sourceCode" id="cb61"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb61-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-1" tabindex="-1"></a><span class="co"># create leaflet map</span></span>
-<span id="cb61-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-2" tabindex="-1"></a>leaflet<span class="sc">::</span><span class="fu">leaflet</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb61-3"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-3" tabindex="-1"></a>  <span class="co"># add open street map layer</span></span>
-<span id="cb61-4"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-4" tabindex="-1"></a>  leaflet<span class="sc">::</span><span class="fu">addTiles</span>() <span class="sc">%&gt;%</span></span>
-<span id="cb61-5"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-5" tabindex="-1"></a>  <span class="co"># add catchments, include popups with nhdplus id and area in sq km</span></span>
-<span id="cb61-6"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-6" tabindex="-1"></a>  leaflet<span class="sc">::</span><span class="fu">addPolygons</span>(<span class="at">data =</span> catch.sf, <span class="at">color =</span> <span class="st">"darkorange"</span>,</span>
-<span id="cb61-7"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-7" tabindex="-1"></a>                       <span class="at">popup =</span> <span class="fu">paste0</span>(catch.sf<span class="sc">$</span>nhdplusid, <span class="st">"&lt;br&gt;"</span>,</span>
-<span id="cb61-8"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-8" tabindex="-1"></a>                                      catch.sf<span class="sc">$</span>areasqkm, <span class="st">" sq km"</span>)) <span class="sc">%&gt;%</span></span>
-<span id="cb61-9"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-9" tabindex="-1"></a>  <span class="co"># added assessment id  </span></span>
-<span id="cb61-10"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb61-10" tabindex="-1"></a>  leaflet<span class="sc">::</span><span class="fu">addPolylines</span>(<span class="at">data =</span> lines.sf, <span class="at">color =</span> <span class="st">"blue"</span>)</span></code></pre></div>
-<div class="leaflet html-widget html-fill-item html-widget-static-bound leaflet-container leaflet-touch leaflet-fade-anim leaflet-grab leaflet-touch-drag leaflet-touch-zoom" id="htmlwidget-0ff13d9aa66a68d2a963" style="width: 768px; height: 768px; position: relative;" tabindex="0"><div class="leaflet-pane leaflet-map-pane" style="transform: translate3d(0px, 0px, 0px);"><div class="leaflet-pane leaflet-tile-pane"><div class="leaflet-layer " style="z-index: 1; opacity: 1;"><div class="leaflet-tile-container leaflet-zoom-animated" style="z-index: 18; transform: translate3d(0px, 0px, 0px) scale(1);"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1584.png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(93px, 159px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1584(1).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(349px, 159px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1585.png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(93px, 415px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1585(1).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(349px, 415px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1583.png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(93px, -97px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1583(1).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(349px, -97px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1584(2).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(-163px, 159px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1584(3).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(605px, 159px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1585(2).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(-163px, 415px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1585(3).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(605px, 415px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1586.png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(93px, 671px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1586(1).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(349px, 671px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1583(2).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(-163px, -97px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1583(3).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(605px, -97px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1586(2).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(-163px, 671px, 0px); opacity: 1;"><img alt="" role="presentation" src="./rExpertQueryCybertownTraining_files/1586(3).png" class="leaflet-tile leaflet-tile-loaded" style="width: 256px; height: 256px; transform: translate3d(605px, 671px, 0px); opacity: 1;"></div></div></div><div class="leaflet-pane leaflet-shadow-pane"></div><div class="leaflet-pane leaflet-overlay-pane"><svg pointer-events="none" class="leaflet-zoom-animated" width="922" height="922" viewBox="-77 -77 922 922" style="transform: translate3d(-77px, -77px, 0px);"><g><path class="leaflet-interactive" stroke="darkorange" stroke-opacity="0.5" stroke-width="5" stroke-linecap="round" stroke-linejoin="round" fill="darkorange" fill-opacity="0.2" fill-rule="evenodd" d="M419 601L419 599L421 599L418 598L419 600z"></path><path class="leaflet-interactive" stroke="darkorange" stroke-opacity="0.5" stroke-width="5" stroke-linecap="round" stroke-linejoin="round" fill="darkorange" fill-opacity="0.2" fill-rule="evenodd" d="M503 191L503 198L507 202L510 201L517 203L523 201L523 203L527 203L534 196L544 197L539 192L537 192L537 190L535 190L534 185L529 184L529 175L525 177L528 181L526 185L521 185L518 188L514 188L514 190L507 189L505 187L504 191z"></path><path class="leaflet-interactive" stroke="darkorange" stroke-opacity="0.5" stroke-width="5" stroke-linecap="round" stroke-linejoin="round" fill="darkorange" fill-opacity="0.2" fill-rule="evenodd" d="M539 243L538 243z"></path><path class="leaflet-interactive" stroke="darkorange" stroke-opacity="0.5" stroke-width="5" stroke-linecap="round" stroke-linejoin="round" fill="darkorange" fill-opacity="0.2" fill-rule="evenodd" d="M410 608L413 608L416 602L419 601L419 599L417 597L417 593L413 584L414 583L409 576L410 579L408 588L402 590L403 591L400 595L396 595L410 608z"></path><path class="leaflet-interactive" stroke="darkorange" stroke-opacity="0.5" stroke-width="5" stroke-linecap="round" stroke-linejoin="round" fill="darkorange" fill-opacity="0.2" fill-rule="evenodd" d="M495 177L496 176L495 177zM494 177L495 177z"></path><path class="leaflet-interactive" 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-</ol>
-</div>
-<div id="eq_domainvalues" class="section level2">
-<h2>EQ_DomainValues</h2>
-<p>EQ_DomainValues is unique in the rExpertQuery packages as it relies
-on ATTAINS web services, rather than Expert Query web services in order
-to provide allowable domain values. It was created to provide guidance
-for users on allowable values for queries. The function returns all
-information available from ATTAINS web services about the selected
-domain and prints a message informing the user which column contains the
-value that should be used in queries.</p>
-<ol style="list-style-type: decimal">
-<li><p><strong>Which parameters can EQ_DomainValues provide values
-for?</strong></p>
-<p>Running the EQ_DomainValues function with no value provided for the
-“domain” argument will return a list of the parameter names that it can
-return domain values for.</p>
-<div class="sourceCode" id="cb62"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb62-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb62-1" tabindex="-1"></a><span class="co"># run EQ_DomainValues with no value provided for "domain" to return list of params</span></span>
-<span id="cb62-2"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb62-2" tabindex="-1"></a>domain.vals <span class="ot">&lt;-</span> <span class="fu">EQ_DomainValues</span>()</span></code></pre></div>
-<pre><code>## [1] "EQ_DomainValues: getting list of available domain names."</code></pre>
-<p>EQ_DomainValues can provide values for the following query
-parameters: act_agency, act_status, act_type, ad_param, assess_basis,
-assess_methods, assess_types, au_status, cause, delist_reason, doc_type,
-file_type, loc_type, org_id, org_name, param_attain, param_group,
-param_name, param_state_ir_cat, param_status, source_scale, source_type,
-statecode, use_name, use_support and water_type .</p></li>
-<li><p><strong>How many different values for “water_type” can be used in
-rExpertQuery functions?</strong></p>
-<p>To find the allowable values for “water_type” in rExpertQuery
-function, we can run EQ_DomainValues again, this time specifying
-“water_type”.</p>
-<div class="sourceCode" id="cb64"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb64-1"><a href="file:///C:/Users/hmarler/AppData/Local/Temp/RtmpUD1kt3/preview-4c88355a4af7.dir/CybertownTraining.html#cb64-1" tabindex="-1"></a>water.types <span class="ot">&lt;-</span> rExpertQuery<span class="sc">::</span><span class="fu">EQ_DomainValues</span>(<span class="st">"water_type"</span>)</span></code></pre></div>
-<pre><code>## [1] "EQ_DomainValues: For water_type the values in the name column of the function output are the allowable values for rExpert Query functions."</code></pre>
-<p>The printed message informs us that the “name” column contains the
-values for use in water_type queries for rExpertQuery functions. For
-water_type there are 66 unique values. They are: BAY; BAYOU; BEACH;
-BLACKWATER SYSTEM; CHANNEL; CIRQUE LAKE; COASTAL; COASTAL &amp; BAY
-SHORELINE; CONNECTING CHANNEL; CREEK; CREEK, INTERMITTENT; DITCH OR
-CANAL; DRAIN; ESTUARY; ESTUARY, FRESHWATER; FLOWAGE; GREAT LAKES BAYS
-AND HARBORS; GREAT LAKES BEACH; GREAT LAKES CONNECTING CHANNEL; GREAT
-LAKES OPEN WATER; GREAT LAKES SHORELINE; GULCH; GULF; HARBOR;
-IMPOUNDMENT; INLAND LAKE SHORELINE; INLET; ISLAND COASTAL WATERS;
-LAGOON; LAKE; LAKE, FRESHWATER; LAKE, NATURAL; LAKE, PLAYA; LAKE,
-SALINE; LAKE, SPRINGS; LAKE, WILD RICE; LAKE/RESERVOIR/POND; MARSH;
-OCEAN; OCEAN/NEAR COASTAL; POND; RESERVOIR; RESERVOIR EMBAYMENT; RIVER;
-RIVER, TIDAL; RIVER, WILD RICE; RIVERINE BACKWATER; SINK HOLE; SOUND;
-SPRING; SPRINGSHED; STREAM; STREAM, COASTAL; STREAM, EPHEMERAL; STREAM,
-INTERMITTENT; STREAM, PERENNIAL; STREAM, TIDAL; STREAM/CREEK/RIVER;
-WASH; WATERSHED; WETLAND; WETLANDS, DEPRESSIONAL; WETLANDS, FRESHWATER;
-WETLANDS, RIVERINE; WETLANDS, SLOPE; and WETLANDS, TIDAL.</p></li>
-</ol>
-</div>
-<div id="questions" class="section level2">
-<h2>Questions?</h2>
-<p>rExpertQuery is in development, so additional changes to existing
-functions to improve usability and documentation may occur. If you have
-any additional questions, contact the ATTAINS team at
-attains@epa.gov.</p>
-</div>
-
-
-
-<!-- code folding -->
-
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diff --git a/vignettes/rExpertQueryCybertownTraining_files/MathJax.js.download b/vignettes/rExpertQueryCybertownTraining_files/MathJax.js.download
deleted file mode 100644
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From cdd4dc69ef0971ab76cffde3a31ee9f7f766b42a Mon Sep 17 00:00:00 2001
From: hillarymarler <152432687+hillarymarler@users.noreply.github.com>
Date: Wed, 13 May 2026 07:21:58 -0400
Subject: [PATCH 3/4] Update R-CMD-check.yaml

---
 .github/workflows/R-CMD-check.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml
index fdd7dee..eff2d04 100644
--- a/.github/workflows/R-CMD-check.yaml
+++ b/.github/workflows/R-CMD-check.yaml
@@ -30,7 +30,7 @@ jobs:
       R_KEEP_PKG_SOURCE: yes
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       - uses: r-lib/actions/setup-pandoc@v2
 

From ac3192f21193d7d076ac3cec4ea9fd31391e59bd Mon Sep 17 00:00:00 2001
From: hillarymarler <152432687+hillarymarler@users.noreply.github.com>
Date: Wed, 13 May 2026 07:23:24 -0400
Subject: [PATCH 4/4] Update test-coverage.yaml

---
 .github/workflows/test-coverage.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/test-coverage.yaml b/.github/workflows/test-coverage.yaml
index edd70e1..bf5f9c1 100644
--- a/.github/workflows/test-coverage.yaml
+++ b/.github/workflows/test-coverage.yaml
@@ -6,7 +6,7 @@ on:
   pull_request:
     branches: [develop]
     types: [opened, reopened, synchronize, ready_for_review]
-  workflow_dispatch: 
+  workflow_dispatch:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
@@ -27,7 +27,7 @@ jobs:
       GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
       EQ_API_KEY: ${{ secrets.EQ_API_KEY }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       - uses: r-lib/actions/setup-r@v2
         with: