Decompose a double-precision floating-point number into integral and fractional parts.
JavaScript
2
0
Apache License 2.0
This package provides a function to decompose a double-precision floating-point number into its integral and fractional parts, with both parts having the same type and sign as the input. It's designed for developers working on numerical and scientific computing in JavaScript, particularly those using the stdlib library for high-performance mathematical operations.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/math-base-special-modf
The bias of a double-precision floating-point number's exponent.
High word mask for the exponent of a double-precision floating-point number.
High word mask for the significand of a double-precision floating-point number.
Number of significand bits in the high word of a double-precision floating-point number.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
C utilities for retrieving Node-API add-on callback arguments.
Convert a Node-API value to a double-precision floating-point number.
Convert a Node-API value to a double-precision floating-point array.
C utilities for registering Node-API modules.
Create a double-precision floating-point number from a higher order word and a lower order word.
Split a double-precision floating-point number into a higher order word and a lower order word.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
Test if an object has a specified property.
Test if a value is an array.
Test if a value is a Float64Array.
Double-precision floating-point negative infinity.
Test if a double-precision floating-point numeric value is negative zero.
Test if a double-precision floating-point numeric value is positive zero.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
Wrap `require` in a try/catch block.
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.
Support the repos that depend on this repository
Top contributors
stdlib-bot
85 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet
