stdlib-js

stdlib-js/array-uint8

Uint8Array.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/array-uint8

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Test if an object has a specified property, either own or inherited.
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Test if a value is an ArrayBuffer.
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Test if a value is a boolean.
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Test if a value is a function.
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Test if a value is a number having a nonnegative integer value.
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Exponential function.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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Proxies nodejs require in order to allow overriding dependencies during testing.
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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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Test if a value is a Uint8Array.
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Detect native Uint8Array support.
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Round a numeric value to the nearest integer.
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Pseudorandom numbers having integer values.

Support the repos that depend on stdlib-js/array-uint8

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Copy or deep clone a value to an arbitrary depth.
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Return a JSON representation of a typed array.
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Return the data type of an array.
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Reinterpret a BooleanArray as a Uint8Array.
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Base multidimensional array.
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Check if an environment is little endian.
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Array constructors.
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Test if a value is a typed array.
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Typed array constructors.
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Return the data type of an ndarray data buffer.
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ndarray data buffer constructors.
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Typed array constructors.
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Convert an integer-valued double-precision floating-point number to a signed 64-bit integer byte array according to host byte order.
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Check if an environment is big endian.
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Allocate a buffer from an ArrayBuffer.
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Convert a signed 64-bit integer byte array to a double-precision floating-point number.
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Serialize ndarray meta data.
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Create a readable stream for generating pseudorandom numbers drawn from an F distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a chi 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 Weibull distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
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Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
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Unsigned integer typed array constructors.
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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 an arcsine distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Gumbel 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 logistic distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.
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Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.
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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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