stdlib-js

stdlib-js/random-base-kumaraswamy

Kumaraswamy's double bounded distributed pseudorandom numbers.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/random-base-kumaraswamy

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Test if an object has a specified property.
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Test if a value is a function.
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Test if a value is a plain object.
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Test if a value is a number having a positive value.
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Test if a double-precision floating-point numeric value is NaN.
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Exponential function.
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Insert supplied variable values into a format string.
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stdlib TypeScript type declarations.
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Define a non-enumerable read-only accessor.
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Define a non-enumerable read-only property.
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Define a non-enumerable read-write accessor.
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Function which does nothing.
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Format an error message for production.
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Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
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Object containing the user environment.
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A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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One-sample Kolmogorov-Smirnov goodness-of-fit test.
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tap-producing test harness for node and browsers
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Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
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Minimal TAP output formatter.
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Benchmark harness.
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Return a JSON representation of a typed array.
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Maximum unsigned 32-bit integer.
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Test if a value is a Uint32Array.
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A 32-bit Mersenne Twister pseudorandom number generator.
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A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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Time in seconds since the epoch.

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