all these changes

frontend/node_modules/@turf/sample/LICENSE

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+The MIT License (MIT)
+
+Copyright (c) 2017 TurfJS
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in
+the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
+the Software, and to permit persons to whom the Software is furnished to do so,
+subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
+FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

frontend/node_modules/@turf/sample/README.md

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+# @turf/sample
+
+<!-- Generated by documentation.js. Update this documentation by updating the source code. -->
+
+## sample
+
+Takes a [FeatureCollection][1] and returns a FeatureCollection with given number of [features][2] at random.
+
+**Parameters**
+
+-   `featurecollection` **[FeatureCollection][3]** set of input features
+-   `num` **[number][4]** number of features to select
+
+**Examples**
+
+```javascript
+var points = turf.randomPoint(100, {bbox: [-80, 30, -60, 60]});
+
+var sample = turf.sample(points, 5);
+
+//addToMap
+var addToMap = [points, sample]
+turf.featureEach(sample, function (currentFeature) {
+  currentFeature.properties['marker-size'] = 'large';
+  currentFeature.properties['marker-color'] = '#000';
+});
+```
+
+Returns **[FeatureCollection][3]** a FeatureCollection with `n` features
+
+[1]: https://tools.ietf.org/html/rfc7946#section-3.3
+
+[2]: https://tools.ietf.org/html/rfc7946#section-3.2
+
+[3]: https://tools.ietf.org/html/rfc7946#section-3.3
+
+[4]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number
+
+<!-- This file is automatically generated. Please don't edit it directly:
+if you find an error, edit the source file (likely index.js), and re-run
+./scripts/generate-readmes in the turf project. -->
+
+---
+
+This module is part of the [Turfjs project](http://turfjs.org/), an open source
+module collection dedicated to geographic algorithms. It is maintained in the
+[Turfjs/turf](https://github.com/Turfjs/turf) repository, where you can create
+PRs and issues.
+
+### Installation
+
+Install this module individually:
+
+```sh
+$ npm install @turf/sample
+```
+
+Or install the Turf module that includes it as a function:
+
+```sh
+$ npm install @turf/turf
+```

frontend/node_modules/@turf/sample/dist/es/index.js

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+import { featureCollection } from '@turf/helpers';
+
+// http://stackoverflow.com/questions/11935175/sampling-a-random-subset-from-an-array
+
+/**
+ * Takes a {@link FeatureCollection} and returns a FeatureCollection with given number of {@link Feature|features} at random.
+ *
+ * @name sample
+ * @param {FeatureCollection} featurecollection set of input features
+ * @param {number} num number of features to select
+ * @returns {FeatureCollection} a FeatureCollection with `n` features
+ * @example
+ * var points = turf.randomPoint(100, {bbox: [-80, 30, -60, 60]});
+ *
+ * var sample = turf.sample(points, 5);
+ *
+ * //addToMap
+ * var addToMap = [points, sample]
+ * turf.featureEach(sample, function (currentFeature) {
+ *   currentFeature.properties['marker-size'] = 'large';
+ *   currentFeature.properties['marker-color'] = '#000';
+ * });
+ */
+function sample(featurecollection, num) {
+  if (!featurecollection) throw new Error("featurecollection is required");
+  if (num === null || num === undefined) throw new Error("num is required");
+  if (typeof num !== "number") throw new Error("num must be a number");
+
+  var outFC = featureCollection(
+    getRandomSubarray(featurecollection.features, num)
+  );
+  return outFC;
+}
+
+function getRandomSubarray(arr, size) {
+  var shuffled = arr.slice(0),
+    i = arr.length,
+    min = i - size,
+    temp,
+    index;
+  while (i-- > min) {
+    index = Math.floor((i + 1) * Math.random());
+    temp = shuffled[index];
+    shuffled[index] = shuffled[i];
+    shuffled[i] = temp;
+  }
+  return shuffled.slice(min);
+}
+
+export default sample;

frontend/node_modules/@turf/sample/dist/es/package.json

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+{"type":"module"}

frontend/node_modules/@turf/sample/dist/js/index.js

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+'use strict';
+
+var helpers = require('@turf/helpers');
+
+// http://stackoverflow.com/questions/11935175/sampling-a-random-subset-from-an-array
+
+/**
+ * Takes a {@link FeatureCollection} and returns a FeatureCollection with given number of {@link Feature|features} at random.
+ *
+ * @name sample
+ * @param {FeatureCollection} featurecollection set of input features
+ * @param {number} num number of features to select
+ * @returns {FeatureCollection} a FeatureCollection with `n` features
+ * @example
+ * var points = turf.randomPoint(100, {bbox: [-80, 30, -60, 60]});
+ *
+ * var sample = turf.sample(points, 5);
+ *
+ * //addToMap
+ * var addToMap = [points, sample]
+ * turf.featureEach(sample, function (currentFeature) {
+ *   currentFeature.properties['marker-size'] = 'large';
+ *   currentFeature.properties['marker-color'] = '#000';
+ * });
+ */
+function sample(featurecollection, num) {
+  if (!featurecollection) throw new Error("featurecollection is required");
+  if (num === null || num === undefined) throw new Error("num is required");
+  if (typeof num !== "number") throw new Error("num must be a number");
+
+  var outFC = helpers.featureCollection(
+    getRandomSubarray(featurecollection.features, num)
+  );
+  return outFC;
+}
+
+function getRandomSubarray(arr, size) {
+  var shuffled = arr.slice(0),
+    i = arr.length,
+    min = i - size,
+    temp,
+    index;
+  while (i-- > min) {
+    index = Math.floor((i + 1) * Math.random());
+    temp = shuffled[index];
+    shuffled[index] = shuffled[i];
+    shuffled[i] = temp;
+  }
+  return shuffled.slice(min);
+}
+
+module.exports = sample;
+module.exports.default = sample;

frontend/node_modules/@turf/sample/index.d.ts

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+import { FeatureCollection, GeometryObject } from "@turf/helpers";
+
+/**
+ * http://turfjs.org/docs/#sample
+ */
+export default function sample<T extends GeometryObject>(
+  features: FeatureCollection<T>,
+  num: number
+): FeatureCollection<T>;

frontend/node_modules/@turf/sample/package.json

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+{
+  "name": "@turf/sample",
+  "version": "6.5.0",
+  "description": "turf sample module",
+  "author": "Turf Authors",
+  "license": "MIT",
+  "bugs": {
+    "url": "https://github.com/Turfjs/turf/issues"
+  },
+  "homepage": "https://github.com/Turfjs/turf",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/Turfjs/turf.git"
+  },
+  "funding": "https://opencollective.com/turf",
+  "publishConfig": {
+    "access": "public"
+  },
+  "keywords": [
+    "geojson",
+    "stats",
+    "sample",
+    "turf"
+  ],
+  "main": "dist/js/index.js",
+  "module": "dist/es/index.js",
+  "exports": {
+    "./package.json": "./package.json",
+    ".": {
+      "import": "./dist/es/index.js",
+      "require": "./dist/js/index.js"
+    }
+  },
+  "types": "index.d.ts",
+  "sideEffects": false,
+  "files": [
+    "dist",
+    "index.d.ts"
+  ],
+  "scripts": {
+    "bench": "node -r esm bench.js",
+    "build": "rollup -c ../../rollup.config.js && echo '{\"type\":\"module\"}' > dist/es/package.json",
+    "docs": "node ../../scripts/generate-readmes",
+    "test": "npm-run-all test:*",
+    "test:tape": "node -r esm test.js"
+  },
+  "devDependencies": {
+    "benchmark": "*",
+    "npm-run-all": "*",
+    "rollup": "*",
+    "tape": "*"
+  },
+  "dependencies": {
+    "@turf/helpers": "^6.5.0"
+  },
+  "gitHead": "5375941072b90d489389db22b43bfe809d5e451e"
+}