This project provides a function to calculate the unbiased exponent of a double-precision floating-point number, which is useful for numerical and scientific computing tasks. It's part of the stdlib library, designed for developers working with JavaScript and Node.js who need reliable, high-performance mathematical operations.
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Support the dependencies of stdlib-js/number-float64-base-exponent
The bias of a double-precision floating-point number's exponent.
High word mask for the exponent of a double-precision floating-point number.
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
Load a manifest for compiling source files.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Exponential function.
Round a numeric value to the nearest integer.
Return a string giving the literal bit representation of a double-precision floating-point number.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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