stdlib-js/blas-ext-base-dsumpw

Test if a value is an Error object.

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

C utilities for retrieving Node-API add-on callback arguments.

Convert a Node-API value to a signed 64-bit integer.

Convert a Node-API value representing a strided array to a double-precision floating-point array.

C utilities for registering Node-API modules.

Define a non-enumerable read-only property.

Load a manifest for compiling source files.

Wrap `require` in a try/catch block.

Create a filled array according to a provided callback function.

Float64Array.

Check if the runtime is a web browser.

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

Exponential function.

Discrete uniform distributed pseudorandom numbers.

Uniformly distributed pseudorandom numbers.

Return the minimum accessible index based on a set of provided strided array parameters.

Return a typed array view having the same data type as a provided input typed array and starting at a specified index offset.

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

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

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

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

Extended base (i.e., lower-level) basic linear algebra subroutines (BLAS).

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

Perform a chi-square independence test.

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