stdlib-js/object-assign

Test if a value is a function.

Object constructor.

Insert supplied variable values into a format string.

Format an error message for production.

Detect native Symbol support.

Test if a value is an object.

Symbols.

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 an array of an object's own enumerable property names and symbols.

Convert an array to an object supporting fancy indexing.

Return the flags of a provided ndarray.

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

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

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

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

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

Create a readable stream 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.

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

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

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

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

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

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

Create an iterator 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 standard normal distribution using the Box-Muller transform.

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

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

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

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

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

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

Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.

Student's t-distributed pseudorandom numbers.

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

Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.

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

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

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

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

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

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

Negative binomial distributed pseudorandom numbers.

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