stdlib-js/random-exponential

Test if an object has a specified property.

Test if a value is a number.

Test if a value is a plain object.

Base multidimensional array.

Exponentially distributed pseudorandom numbers.

Apply a nullary callback and assign results to elements in a strided output array.

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.

Create a filled array.

Test if a value is a function.

Test if a value is a Uint32Array.

Insert array element values into a format string and print the result.

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

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

Exponential function.

Compute the principal square root of a double-precision floating-point number.

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.

Create a filled generic array according to a provided callback function.

Create a zero-filled generic array.

Real-valued floating-point typed array constructors.

List of typed array real-valued floating-point data types.

Test if a value is an array-like object.

Test if a value is ndarray-like.

Return the number of elements in an array.

Generate a stride array from an array shape.

Apply a unary callback to elements in a input ndarray and assign results to elements in an output ndarray.

Multidimensional array constructor.

Compute the cube root of a double-precision floating-point number.

Multidimensional arrays.

Broadcast an ndarray to a specified shape.

Convert a scalar value to a zero-dimensional ndarray.

Convert an ndarray to a generic array.

Create a zero-filled ndarray having a specified shape and data type.