stdlib-js/math-base-special-log10

The bias of a double-precision floating-point number's exponent.

High word mask for excluding the sign bit of a double-precision floating-point number.

Double-precision floating-point negative infinity.

Test if a double-precision floating-point numeric value is NaN.

C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.

Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.

Set the more significant 32 bits of a double-precision floating-point number.

Set the less significant 32 bits of a double-precision floating-point number.

Split a double-precision floating-point number into a higher order word and a lower order word.

Load a manifest for compiling source files.

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

Double-precision floating-point positive infinity.

Read the entire contents of a file.

Write data to a file.

Test if a double-precision floating-point numeric value is positive zero.

Compute the absolute value of a double-precision floating-point number.

Round a numeric value to the nearest integer.

Compile a C function for evaluating a polynomial.

Uniformly distributed pseudorandom numbers between 0 and 1.

Insert supplied variable values into a format string.

Return the part of a string after a specified substring.

Return the part of a string before a specified substring.

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.

High word mask for the significand of a double-precision floating-point number.

Compute log(1+f) - f for 1+f in ~[sqrt(2)/2, sqrt(2)].