{
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			"description": "The d3.random function from d3",
			"main": "index.js",
			"scripts": {
				"build": "smash node_modules/d3/src/start.js node_modules/d3/src/math/random.js node_modules/d3/src/end.js | uglifyjs - -b -indent-level=2 -o index.js",
				"test": "echo \"Error: no test specified\" && exit 1"
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			"repository": {
				"type": "git",
				"url": "https://github.com/jfsiii/d3-random.git"
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			"keywords": [
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			"name": "d3-random",
			"version": "0.0.1",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
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				"random",
				"rng"
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			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
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			"name": "d3-random",
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			"description": "Generate random numbers from various distributions.",
			"keywords": [
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				"random",
				"rng"
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			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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				"url": "https://github.com/d3/d3-random.git"
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				"pretest": "mkdir -p build && d3-bundler --format=umd --name=random -- index.js > build/random.js",
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				"prepublish": "npm run test && uglifyjs build/random.js -c -m -o build/random.min.js && rm -f build/random.zip && zip -j build/random.zip -- LICENSE README.md build/random.js build/random.min.js"
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			"name": "d3-random",
			"version": "0.0.3",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
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				"random",
				"rng"
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			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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			"main": "build/random.cjs",
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			"repository": {
				"type": "git",
				"url": "git+https://github.com/d3/d3-random.git"
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			"scripts": {
				"pretest": "mkdir -p build && d3-bundler -x -f cjs -o build/random.cjs.js",
				"test": "faucet `find test -name '*-test.js'`",
				"prepublish": "npm run test && d3-bundler -n random -o build/random.js && uglifyjs build/random.js -c -m -o build/random.min.js && rm -f build/random.zip && zip -j build/random.zip -- LICENSE README.md build/random.js build/random.min.js"
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			"gitHead": "074921655bdce791d5ac82cb6ca122082c06b566",
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			"name": "d3-random",
			"version": "0.0.4",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
				"d3",
				"random",
				"rng"
			],
			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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			"main": "build/d3-random.js",
			"jsnext:main": "index",
			"repository": {
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				"url": "git+https://github.com/d3/d3-random.git"
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				"pretest": "mkdir -p build && node -e 'process.stdout.write(\"var version = \\\"\" + require(\"./package.json\").version + \"\\\"; export * from \\\"../index\\\"; export {version};\");' > build/bundle.js && rollup -f umd -u d3-random -n d3_random -o build/d3-random.js -- build/bundle.js",
				"test": "faucet `find test -name '*-test.js'`",
				"prepublish": "npm run test && uglifyjs build/d3-random.js -c -m -o build/d3-random.min.js && rm -f build/d3-random.zip && zip -j build/d3-random.zip -- LICENSE README.md build/d3-random.js build/d3-random.min.js"
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				"faucet": "0.0",
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			"bugs": {
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			"description": "Generate random numbers from various distributions.",
			"keywords": [
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				"random",
				"rng"
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			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
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				"url": "http://bost.ocks.org/mike"
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			"jsnext:main": "index",
			"repository": {
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				"url": "git+https://github.com/d3/d3-random.git"
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				"test": "faucet `find test -name '*-test.js'`",
				"prepublish": "npm run test && uglifyjs build/d3-random.js -c -m -o build/d3-random.min.js && rm -f build/d3-random.zip && zip -j build/d3-random.zip -- LICENSE README.md build/d3-random.js build/d3-random.min.js"
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				"tape": "4",
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			"name": "d3-random",
			"version": "0.1.1",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
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				"random",
				"rng"
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			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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			"jsnext:main": "index",
			"repository": {
				"type": "git",
				"url": "git+https://github.com/d3/d3-random.git"
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			"scripts": {
				"pretest": "mkdir -p build && node -e 'process.stdout.write(\"var version = \\\"\" + require(\"./package.json\").version + \"\\\"; export * from \\\"../index\\\"; export {version};\");' > build/bundle.js && rollup -f umd -u d3-random -n d3_random -o build/d3-random.js -- build/bundle.js",
				"test": "faucet `find test -name '*-test.js'`",
				"prepublish": "npm run test && uglifyjs build/d3-random.js -c -m -o build/d3-random.min.js && rm -f build/d3-random.zip && zip -j build/d3-random.zip -- LICENSE README.md build/d3-random.js build/d3-random.min.js"
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			"devDependencies": {
				"d3-array": "~0.6.1",
				"faucet": "0.0",
				"rollup": "0.20.5",
				"seedrandom": "2",
				"tape": "4",
				"uglify-js": "2"
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			"gitHead": "c74f2e2370f87f9af047e31eb39ab9b7c816965b",
			"bugs": {
				"url": "https://github.com/d3/d3-random/issues"
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				"tarball": "https://registry.npmjs.org/d3-random/-/d3-random-0.1.1.tgz"
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			"name": "d3-random",
			"version": "0.2.0",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
				"d3",
				"random",
				"rng"
			],
			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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			"main": "build/d3-random.js",
			"jsnext:main": "index",
			"repository": {
				"type": "git",
				"url": "git+https://github.com/d3/d3-random.git"
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				"pretest": "mkdir -p build && node -e 'process.stdout.write(\"var version = \\\"\" + require(\"./package.json\").version + \"\\\"; export * from \\\"../index\\\"; export {version};\");' > build/bundle.js && rollup -f umd -u d3-random -n d3_random -o build/d3-random.js -- build/bundle.js",
				"test": "faucet `find test -name '*-test.js'`",
				"prepublish": "npm run test && uglifyjs build/d3-random.js -c -m -o build/d3-random.min.js && rm -f build/d3-random.zip && zip -j build/d3-random.zip -- LICENSE README.md build/d3-random.js build/d3-random.min.js"
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				"tape": "4",
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			"bugs": {
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			"_id": "d3-random@0.2.0",
			"_shasum": "daf13ab9ec60c028271a0f3cc42bedfa1a617b54",
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			"_npmVersion": "3.3.12",
			"_nodeVersion": "5.1.0",
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					"email": "mike@ocks.org"
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			"directories": {},
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		"0.2.1": {
			"name": "d3-random",
			"version": "0.2.1",
			"description": "Generate random numbers from various distributions.",
			"keywords": [
				"d3",
				"random",
				"rng"
			],
			"homepage": "https://github.com/d3/d3-random",
			"license": "BSD-3-Clause",
			"author": {
				"name": "Mike Bostock",
				"url": "http://bost.ocks.org/mike"
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			"main": "build/d3-random.js",
			"jsnext:main": "index",
			"repository": {
				"type": "git",
				"url": "git+https://github.com/d3/d3-random.git"
			},
			"scripts": {
				"pretest": "mkdir -p build && node -e 'process.stdout.write(\"var version = \\\"\" + require(\"./package.json\").version + \"\\\"; export * from \\\"../index\\\"; export {version};\");' > build/bundle.js && rollup -f umd -n d3_random -o build/d3-random.js -- build/bundle.js",
				"test": "faucet `find test -name '*-test.js'` && eslint index.js src",
				"prepublish": "npm run test && uglifyjs build/d3-random.js -c -m -o build/d3-random.min.js && rm -f build/d3-random.zip && zip -j build/d3-random.zip -- LICENSE README.md build/d3-random.js build/d3-random.min.js",
				"postpublish": "VERSION=`node -e 'console.log(require(\"./package.json\").version)'`; git push && git tag -am \"Release $VERSION.\" v${VERSION} && git push --tags && cp build/d3-random.js ../d3.github.com/d3-random.v0.2.js && cp build/d3-random.min.js ../d3.github.com/d3-random.v0.2.min.js && cd ../d3.github.com && git add d3-random.v0.2.js d3-random.v0.2.min.js && git commit -m \"d3-random ${VERSION}\" && git push"
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			"version": "0.3.0",
			"description": "Generate random numbers from various distributions.",
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	"readme": "# d3-random\n\nGenerate random numbers from various distributions.\n\nSee the [d3-random collection on Observable](https://observablehq.com/collection/@d3/d3-random) for examples.\n\n## Installing\n\nIf you use NPM, `npm install d3-random`. Otherwise, download the [latest release](https://github.com/d3/d3-random/releases/latest). You can also load directly as a [standalone library](https://d3js.org/d3-random.v2.min.js) or as part of [D3](https://github.com/d3/d3). ES modules, AMD, CommonJS, and vanilla environments are supported. In vanilla, a `d3` global is exported:\n\n```html\n<script src=\"https://d3js.org/d3-random.v2.min.js\"></script>\n<script>\n\nvar random = d3.randomUniform(1, 10);\n\n</script>\n```\n\n## API Reference\n\n<a name=\"randomUniform\" href=\"#randomUniform\">#</a> d3.<b>randomUniform</b>([<i>min</i>, ][<i>max</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/uniform.js), [Examples](https://observablehq.com/@d3/d3-random#uniform)\n\nReturns a function for generating random numbers with a [uniform distribution](https://en.wikipedia.org/wiki/Uniform_distribution_\\(continuous\\)). The minimum allowed value of a returned number is *min* (inclusive), and the maximum is *max* (exclusive). If *min* is not specified, it defaults to 0; if *max* is not specified, it defaults to 1. For example:\n\n```js\nd3.randomUniform(6)(); // Returns a number greater than or equal to 0 and less than 6.\nd3.randomUniform(1, 5)(); // Returns a number greater than or equal to 1 and less than 5.\n```\n\n<a name=\"randomInt\" href=\"#randomInt\">#</a> d3.<b>randomInt</b>([<i>min</i>, ][<i>max</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/int.js), [Examples](https://observablehq.com/@d3/d3-random#int)\n\nReturns a function for generating random integers with a [uniform distribution](https://en.wikipedia.org/wiki/Uniform_distribution_\\(continuous\\)). The minimum allowed value of a returned number is ⌊*min*⌋ (inclusive), and the maximum is ⌊*max* - 1⌋ (inclusive). If *min* is not specified, it defaults to 0. For example:\n\n```js\nd3.randomInt(6)(); // Returns an integer greater than or equal to 0 and less than 6.\nd3.randomInt(1, 5)(); // Returns an integer greater than or equal to 1 and less than 5.\n```\n\n<a name=\"randomNormal\" href=\"#randomNormal\">#</a> d3.<b>randomNormal</b>([<i>mu</i>][, <i>sigma</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/normal.js), [Examples](https://observablehq.com/@d3/d3-random#normal)\n\nReturns a function for generating random numbers with a [normal (Gaussian) distribution](https://en.wikipedia.org/wiki/Normal_distribution). The expected value of the generated numbers is *mu*, with the given standard deviation *sigma*. If *mu* is not specified, it defaults to 0; if *sigma* is not specified, it defaults to 1.\n\n<a name=\"randomLogNormal\" href=\"#randomLogNormal\">#</a> d3.<b>randomLogNormal</b>([<i>mu</i>][, <i>sigma</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/logNormal.js), [Examples](https://observablehq.com/@d3/d3-random#logNormal)\n\nReturns a function for generating random numbers with a [log-normal distribution](https://en.wikipedia.org/wiki/Log-normal_distribution). The expected value of the random variable’s natural logarithm is *mu*, with the given standard deviation *sigma*. If *mu* is not specified, it defaults to 0; if *sigma* is not specified, it defaults to 1.\n\n<a name=\"randomBates\" href=\"#randomBates\">#</a> d3.<b>randomBates</b>(<i>n</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/bates.js), [Examples](https://observablehq.com/@d3/d3-random#bates)\n\nReturns a function for generating random numbers with a [Bates distribution](https://en.wikipedia.org/wiki/Bates_distribution) with *n* independent variables. The case of fractional *n* is handled as with d3.randomIrwinHall, and d3.randomBates(0) is equivalent to d3.randomUniform().\n\n<a name=\"randomIrwinHall\" href=\"#randomIrwinHall\">#</a> d3.<b>randomIrwinHall</b>(<i>n</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/irwinHall.js), [Examples](https://observablehq.com/@d3/d3-random#irwinHall)\n\nReturns a function for generating random numbers with an [Irwin–Hall distribution](https://en.wikipedia.org/wiki/Irwin–Hall_distribution) with *n* independent variables. If the fractional part of *n* is non-zero, this is treated as adding d3.randomUniform() times that fractional part to the integral part.\n\n<a name=\"randomExponential\" href=\"#randomExponential\">#</a> d3.<b>randomExponential</b>(<i>lambda</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/exponential.js), [Examples](https://observablehq.com/@d3/d3-random#exponential)\n\nReturns a function for generating random numbers with an [exponential distribution](https://en.wikipedia.org/wiki/Exponential_distribution) with the rate *lambda*; equivalent to time between events in a [Poisson process](https://en.wikipedia.org/wiki/Poisson_point_process) with a mean of 1 / *lambda*. For example, exponential(1/40) generates random times between events where, on average, one event occurs every 40 units of time.\n\n<a name=\"randomPareto\" href=\"#randomPareto\">#</a> d3.<b>randomPareto</b>(<i>alpha</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/pareto.js), [Examples](https://observablehq.com/@d3/d3-random#pareto)\n\nReturns a function for generating random numbers with a [Pareto distribution](https://en.wikipedia.org/wiki/Pareto_distribution) with the shape *alpha*. The value *alpha* must be a positive value.\n\n<a name=\"randomBernoulli\" href=\"#randomBernoulli\">#</a> d3.<b>randomBernoulli</b>(<i>p</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/bernoulli.js), [Examples](https://observablehq.com/@d3/d3-random#bernoulli)\n\nReturns a function for generating either 1 or 0 according to a [Bernoulli distribution](https://en.wikipedia.org/wiki/Binomial_distribution) with 1 being returned with success probability *p* and 0 with failure probability *q* = 1 - *p*. The value *p* is in the range [0, 1].\n\n<a name=\"randomGeometric\" href=\"#randomGeometric\">#</a> d3.<b>randomGeometric</b>(<i>p</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/geometric.js), [Examples](https://observablehq.com/@d3/d3-random#geometric)\n\nReturns a function for generating numbers with a [geometric distribution](https://en.wikipedia.org/wiki/Geometric_distribution) with success probability *p*. The value *p* is in the range [0, 1].\n\n<a name=\"randomBinomial\" href=\"#randomBinomial\">#</a> d3.<b>randomBinomial</b>(<i>n</i>, <i>p</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/binomial.js), [Examples](https://observablehq.com/@d3/d3-random#binomial)\n\nReturns a function for generating random numbers with a [binomial distribution](https://en.wikipedia.org/wiki/Binomial_distribution) with *n* the number of trials and *p* the probability of success in each trial. The value *n* is greater or equal to 0, and the value *p* is in the range [0, 1].\n\n<a name=\"randomGamma\" href=\"#randomGamma\">#</a> d3.<b>randomGamma</b>(<i>k</i>, [<i>theta</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/gamma.js), [Examples](https://observablehq.com/@parcly-taxel/the-gamma-and-beta-distributions)\n\nReturns a function for generating random numbers with a [gamma distribution](https://en.wikipedia.org/wiki/Gamma_distribution) with *k* the shape parameter and *theta* the scale parameter. The value *k* must be a positive value; if *theta* is not specified, it defaults to 1.\n\n<a name=\"randomBeta\" href=\"#randomBeta\">#</a> d3.<b>randomBeta</b>(<i>alpha</i>, <i>beta</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/beta.js), [Examples](https://observablehq.com/@parcly-taxel/the-gamma-and-beta-distributions)\n\nReturns a function for generating random numbers with a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) with *alpha* and *beta* shape parameters, which must both be positive.\n\n<a name=\"randomWeibull\" href=\"#randomWeibull\">#</a> d3.<b>randomWeibull</b>(<i>k</i>, [<i>a</i>], [<i>b</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/weibull.js), [Examples](https://observablehq.com/@parcly-taxel/frechet-gumbel-weibull)\n\nReturns a function for generating random numbers with one of the [generalized extreme value distributions](https://en.wikipedia.org/wiki/Generalized_extreme_value_distribution), depending on *k*:\n\n* If *k* is positive, the [Weibull distribution](https://en.wikipedia.org/wiki/Weibull_distribution) with shape parameter *k*\n* If *k* is zero, the [Gumbel distribution](https://en.wikipedia.org/wiki/Gumbel_distribution)\n* If *k* is negative, the [Fréchet distribution](https://en.wikipedia.org/wiki/Fréchet_distribution) with shape parameter −*k*\n\nIn all three cases, *a* is the location parameter and *b* is the scale parameter. If *a* is not specified, it defaults to 0; if *b* is not specified, it defaults to 1.\n\n<a name=\"randomCauchy\" href=\"#randomCauchy\">#</a> d3.<b>randomCauchy</b>([<i>a</i>], [<i>b</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/cauchy.js), [Examples](https://observablehq.com/@parcly-taxel/cauchy-and-logistic-distributions)\n\nReturns a function for generating random numbers with a [Cauchy distribution](https://en.wikipedia.org/wiki/Cauchy_distribution). *a* and *b* have the same meanings and default values as in d3.randomWeibull.\n\n<a name=\"randomLogistic\" href=\"#randomLogistic\">#</a> d3.<b>randomLogistic</b>([<i>a</i>], [<i>b</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/logistic.js), [Examples](https://observablehq.com/@parcly-taxel/cauchy-and-logistic-distributions)\n\nReturns a function for generating random numbers with a [logistic distribution](https://en.wikipedia.org/wiki/Logistic_distribution). *a* and *b* have the same meanings and default values as in d3.randomWeibull.\n\n<a name=\"randomPoisson\" href=\"#randomPoisson\">#</a> d3.<b>randomPoisson</b>(<i>lambda</i>) · [Source](https://github.com/d3/d3-random/blob/master/src/poisson.js), [Examples](https://observablehq.com/@parcly-taxel/the-poisson-distribution)\n\nReturns a function for generating random numbers with a [Poisson distribution](https://en.wikipedia.org/wiki/Poisson_distribution) with mean *lambda*.\n\n<a name=\"random_source\" href=\"#random_source\">#</a> <i>random</i>.<b>source</b>(<i>source</i>) · [Examples](https://observablehq.com/@d3/random-source)\n\nReturns the same type of function for generating random numbers but where the given random number generator *source* is used as the source of randomness instead of Math.random. The given random number generator must implement the same interface as Math.random and only return values in the range [0, 1). This is useful when a seeded random number generator is preferable to Math.random. For example:\n\n```js\nconst d3 = require(\"d3-random\");\nconst seed = 0.44871573888282423; // any number in [0, 1)\nconst random = d3.randomNormal.source(d3.randomLcg(seed))(0, 1);\n\nrandom(); // -0.6253955998897069\n```\n\n<a name=\"randomLcg\" href=\"#randomLcg\">#</a> d3.<b>randomLcg</b>([<i>seed</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/lcg.js), [Examples](https://observablehq.com/@d3/d3-randomlcg)\n\nReturns a [linear congruential generator](https://en.wikipedia.org/wiki/Linear_congruential_generator); this function can be called repeatedly to obtain pseudorandom values well-distributed on the interval [0,1) and with a long period (up to 1 billion numbers), similar to Math.random. A *seed* can be specified as a real number in the interval [0,1) or as any integer. In the latter case, only the lower 32 bits are considered. Two generators instanced with the same seed generate the same sequence, allowing to create reproducible pseudo-random experiments. If the *seed* is not specified, one is chosen using Math.random."
}