stdlib-js/utils-try-require

Test if a value is an Error object.

Test if a value is a function.

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.

Calculate the sum of double-precision floating-point strided array elements using pairwise summation.

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.

Interchange two double-precision floating-point vectors.

Multiply a double-precision floating-point vector by a constant.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Copy values from x into y.

Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.

Calculate the dot product of two double-precision floating-point vectors.

Compute the absolute value for each element in a strided array.

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.

Interchange two single-precision floating-point vectors.

Calculate the dot product of two single-precision floating-point vectors.

Calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.

Round each element in a double-precision floating-point strided array toward zero according to a strided mask array.

Fill a double-precision floating-point strided array with a specified scalar constant.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Round each element in a double-precision floating-point strided array toward positive infinity according to a strided mask array.

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.

Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using pairwise summation with extended accumulation, and returning an extended precision result.

Compute the cube root for each element in a single-precision floating-point strided array according to a strided mask array.

Convert each element in a double-precision floating-point strided array from degrees to radians according to a strided mask array.

Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.