stdlib-js/random-array-tools-binary...

Test if an object has a specified property.

Test if a value is a function.

Insert supplied variable values into a format string.

Constant function.

Define a non-enumerable read-only accessor.

Define a non-enumerable read-only property.

Define a non-enumerable read-write accessor.

Function which does nothing.

Format an error message for production.

List of array data types.

Create a zero-filled array having a specified length.

Test if a double-precision floating-point numeric value is NaN.

Exponential function.

Normally distributed pseudorandom numbers.

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 an object has a specified method name, either own or inherited.

Test if an array contains a provided search value.

Test if a value is an array of strings.

Constructor for creating arrays filled with pseudorandom values drawn from a binary PRNG.

Constructor for creating arrays filled with pseudorandom values drawn from a nullary PRNG.

Arcsine distributed pseudorandom numbers.

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

Create an array containing pseudorandom numbers drawn from a lognormal distribution.

Create an array containing pseudorandom numbers drawn from a Weibull distribution.

Create an array containing pseudorandom numbers drawn from Kumaraswamy's double bounded distribution.

Create an array containing pseudorandom numbers drawn from a Lévy distribution.

Create an array containing pseudorandom numbers drawn from a Cauchy distribution.

Create an array containing pseudorandom numbers drawn from a Gumbel distribution.

Create an array containing pseudorandom numbers drawn from a binomial distribution.

Create an array containing pseudorandom numbers drawn from a negative binomial distribution.

Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.

Create an array containing pseudorandom numbers drawn from an F distribution.

Create an array containing pseudorandom numbers drawn from a beta prime distribution.

Create an array containing pseudorandom numbers drawn from a gamma distribution.

Create an array containing pseudorandom numbers drawn from a beta distribution.

Create an array containing pseudorandom numbers drawn from a raised cosine distribution.

Create an array containing pseudorandom numbers drawn from an Erlang distribution.

Create an array containing pseudorandom numbers drawn from an arcsine distribution.

Create an array containing pseudorandom numbers drawn from a Laplace (double exponential) distribution.

Create an array containing pseudorandom numbers drawn from a logistic distribution.

Create an array containing pseudorandom numbers drawn from a normal distribution.

Create an array containing pseudorandom numbers drawn from a Pareto (Type I) distribution.

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

Pseudorandom number generator array creation function tools.