stdlib-js/utils-inherit

Insert supplied variable values into a format string.

Define (or modify) an object property.

Format an error message for production.

Return the prototype of a provided object.

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

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Minimal TAP output formatter.

Test if an object's prototype chain contains a provided prototype.

Multidimensional array constructor.

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.

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.

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

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

Transform stream for inspecting streamed data.

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

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

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

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

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

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

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

Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.

Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.

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

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

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

Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.

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

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.

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