stdlib-js

stdlib-js/assert-is-positive-intege...

Test if a value is a number having a positive integer value.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/assert-is-positive-integer

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Test if a value is a number having an integer value.
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Define a non-enumerable read-only property.
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Test if a value is a boolean.
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Number constructor.
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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.

Support the repos that depend on stdlib-js/assert-is-positive-integer

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A 32-bit Mersenne Twister pseudorandom number generator.
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Create a strided array function interface which performs multiple dispatch.
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Compute a moving arithmetic mean incrementally.
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A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
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A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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Binomial distributed pseudorandom numbers.
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Compute a moving corrected sample standard deviation incrementally.
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Compute a moving sum incrementally.
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Erlang distributed pseudorandom numbers.
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Compute a moving sample Pearson product-moment correlation coefficient incrementally.
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Compute a moving minimum incrementally.
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Compute a moving maximum incrementally.
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Compute a moving mid-range incrementally.
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Compute a moving range incrementally.
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Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
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Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.
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Compute a moving arithmetic mean of squared absolute values incrementally.
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Compute a moving unbiased sample variance incrementally.
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Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
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Create an iterator which generates a Lanczos pulse waveform.
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Create an iterator which generates a cosine wave.
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Perform a one-way analysis of variance.
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Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.
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Create a readable stream for generating pseudorandom numbers having integer values.
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Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
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Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.
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Create an iterator which generates a periodic sinc waveform.

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