This is a low-level numerical computing library for JavaScript that provides functions to apply a unary operation to elements of a double-precision floating-point array, but only for elements where a corresponding mask array has a value of 1. The output is written to a separate output array, allowing for efficient in-place or out-of-place operations with custom strides for advanced use cases. It's part of the stdlib project, which aims to provide high-performance numerical and scientific computing capabilities for web and Node.js environments.
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Support the dependencies of stdlib-js/strided-base-dmskmap
Determine the index offset which specifies the location of the first indexed value in a strided array.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
Uint8Array.
Test if a double-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Round a numeric value to the nearest integer.
Evaluate the identity function for a double-precision floating-point number.
Bernoulli distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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