stdlib-js/assert-is-boolean

Detect native Symbol.toStringTag support.

Boolean constructor.

Define a non-enumerable read-only property.

Determine the specification defined classification of an object.

Detect native Symbol support.

Proxies nodejs require in order to allow overriding dependencies during testing.

tap-producing test harness for node and browsers

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

Minimal TAP output formatter.

Benchmark harness.

Return a regular expression to match a newline character sequence.

A 32-bit Mersenne Twister pseudorandom number generator.

Multidimensional array constructor.

Normally distributed pseudorandom numbers using the improved Ziggurat method.

Gamma distributed pseudorandom numbers.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

A linear congruential pseudorandom number generator (LCG) based on Park and Miller.

Invert an object, such that keys become values and values become keys.

Student's t-distributed pseudorandom numbers.

Normally distributed pseudorandom numbers using the Box-Muller transform.

Beta distributed pseudorandom numbers.

Return the global object.

Tokenize a string.

BooleanArray.

Uniformly distributed pseudorandom numbers between 0 and 1.

Negative binomial distributed pseudorandom numbers.

Standard normal pseudorandom numbers.

Pseudorandom numbers having integer values.

Flatten an object.

Pad a string.

Return a Unicode code point from a string at a specified position.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.

Transform stream.

Perform a one-way analysis of variance.

Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.

Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.

Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.

Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.

Create a readable stream for generating pseudorandom numbers having integer values.

Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.

Sample elements from an array-like object.