This project computes the number of representable single-precision floating-point values (ULPs) that separate two given single-precision floating-point numbers along the real number line. It's part of stdlib, a JavaScript standard library for numerical and scientific computing, aimed at developers working with low-level floating-point arithmetic and numerical analysis.
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Support the dependencies of stdlib-js/number-float32-base-ulp-difference
Mask for the sign bit of a single-precision floating-point number.
Test if a single-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Return an unsigned 32-bit integer corresponding to the IEEE 754 binary representation of a single-precision floating-point number.
Test if a value is a number having a finite positive value.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Single-precision floating-point negative infinity.
Single-precision floating-point positive infinity.
Smallest positive single-precision floating-point subnormal number.
Test if a double-precision floating-point numeric value is NaN.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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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