stdlib-js/utils-noop

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.

Test if a value is undefined.

False

Create a factory function for filling strided arrays with pseudorandom values drawn from a ternary PRNG.

Create a factory function for filling strided arrays with pseudorandom values drawn from a unary PRNG.

Create a factory function for filling strided arrays with pseudorandom values drawn from a binary PRNG.

Create a factory function for generating pseudorandom values drawn from a ternary PRNG.

Create a factory function for generating pseudorandom values drawn from a unary PRNG.

Create a factory function for generating pseudorandom values drawn from a binary PRNG.

Generate pseudorandom numbers drawn from an exponential distribution.

Incremental parser for delimiter-separated values (DSV).

Create an iterator which iterates over grapheme clusters.

A TUI for local development.

Command-line interface.

REPL presentation.

Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.

Arcsine distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.

Bernoulli distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a beta distribution.

Beta distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.

Beta prime distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a binomial distribution.

Binomial distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.

Create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.

Standard normal pseudorandom numbers.

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

Normally distributed pseudorandom numbers using the Box-Muller transform.

Create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.

Cauchy distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a chi distribution.

Chi distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from an F distribution.

F distributed pseudorandom numbers.

Student's t-distributed pseudorandom numbers.