stdlib-js/random-base-negative-bino...

Return a JSON representation of a typed array.

Uint32Array.

Test if an object has a specified property.

Test if a value is a boolean.

Test if a value is a function.

Test if a value is NaN.

Test if a value is a number.

Test if a value is a plain object.

Test if a value is a number having a positive value.

Test if a value is a Uint32Array.

Copy values from x into y.

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

Copy enumerable own properties from one or more source objects to a target object.

Insert supplied variable values into a format string.

stdlib TypeScript type declarations.

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.

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

Maximum unsigned 32-bit integer.

Test if a finite double-precision floating-point number is a nonnegative integer.

Round a double-precision floating-point number toward positive infinity.

Round a numeric value to the nearest integer.

Object containing the user environment.

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

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

Uniformly distributed pseudorandom numbers between 0 and 1.

Uniformly distributed pseudorandom numbers.

Perform a chi-square goodness-of-fit test.

Time in seconds since the epoch.

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.

Gamma distributed pseudorandom numbers.

Poisson distributed random numbers.