This repository provides a function to create zero-filled ndarrays with specified shapes and data types, as part of the stdlib JavaScript library for numerical computing. It's designed for developers working on numerical and scientific computing tasks in JavaScript who need efficient array initialization with specific dimensions and data types.
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Support the dependencies of stdlib-js/ndarray-zeros
Test if an object has a specified property.
Test if a value is array-like.
Test if a value is a number.
Test if a value is a plain object.
Create a contiguous linear ndarray data buffer.
Return the number of elements in an array.
Generate a stride array from an array shape.
Determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.
Multidimensional array constructor.
Default ndarray settings.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Format an error message for production.
Complex128Array.
Complex64Array.
Float32Array.
Float64Array.
Int16Array.
Int32Array.
Int8Array.
Uint16Array.
Uint32Array.
Uint8Array.
Uint8ClampedArray.
Test whether a value has in its prototype chain a specified constructor as a prototype property.
Test if a value is ndarray-like.
Exponential function.
List of ndarray data types.
Reinterpret a Complex128Array as a Float64Array.
Reinterpret a Complex64Array as a Float32Array.
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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