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https://github.com/gosticks/DefinitelyTyped.git
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d9fd6571d8
Add 1. all-the-package-names 2. date-range-array 3. download-file-sync 4. node-wget-promise 5. random 6. stats-lite
54 lines
1.2 KiB
TypeScript
54 lines
1.2 KiB
TypeScript
import * as random from 'random';
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let min = 0;
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let max = 0;
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let mu = 0;
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let sigma = 0;
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let lambda = 0;
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let p = 0;
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let n = 0;
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// quick uniform shortcuts
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// $ExpectType number
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random.float(min = 0, max = 1); // uniform float in [ min, max )
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// $ExpectType number
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random.int(min = 0, max = 1); // uniform integer in [ min, max ]
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// $ExpectType boolean
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random.boolean(); // true or false
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// uniform
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// $ExpectType () => number
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random.uniform(min = 0, max = 1); // () => [ min, max )
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// $ExpectType () => number
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random.uniformInt(min = 0, max = 1); // () => [ min, max ]
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// $ExpectType () => boolean
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random.uniformBoolean(); // () => [ false, true ]
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// normal
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// $ExpectType () => number
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random.normal(mu = 0, sigma = 1);
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// $ExpectType () => number
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random.logNormal(mu = 0, sigma = 1);
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// bernoulli
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// $ExpectType () => number
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random.bernoulli(p = 0.5);
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// $ExpectType () => number
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random.binomial(n = 1, p = 0.5);
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// $ExpectType () => number
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random.geometric(p = 0.5);
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// poisson
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// $ExpectType () => number
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random.poisson(lambda = 1);
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// $ExpectType () => number
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random.exponential(lambda = 1);
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// misc
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// $ExpectType () => number
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random.irwinHall(n);
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// $ExpectType () => number
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random.bates(n);
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const alpha = 0;
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// $ExpectType () => number
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random.pareto(alpha);
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