Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
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Support the dependencies of stdlib-js/number-float64-base-get-high-word
Float64Array.
Uint32Array.
Check if an environment is little endian.
Split a double-precision floating-point number into a higher order word and a lower order word.
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.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Return a string giving the literal bit representation of a double-precision floating-point number.
Uniformly distributed pseudorandom numbers between 0 and 1.
Left pad a string.
Wrap `require` in a try/catch block.
Proxies nodejs require in order to allow overriding dependencies during testing.
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.
Repeat a string a specified number of times and return the concatenated result.
Support the repos that depend on stdlib-js/number-float64-base-get-high-word
Evaluate the natural logarithm of a double-precision floating-point number.
Exponential function.
Evaluate the natural logarithm of 1+x.
Compute exp(x) - 1.
Compute the sine of a number.
Compute the cosine of a number.
Simultaneously compute the sine and cosine of a number.
Compute the cube root of a double-precision floating-point number.
Common logarithm (base ten).
Binary logarithm (base 2).
Evaluate the tangent of a number.
Return a double-precision floating-point number with the magnitude of x and the sign of y.
Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.
Compute `x - nπ/2 = r`.
Compute the tangent of a double-precision floating-point number on [-π/4, π/4].
Return a boolean indicating if the sign bit for a double-precision floating-point number is on (true) or off (false).
Return a double-precision floating-point number with the magnitude of x and the sign of x*y.
Base utilities for double-precision floating-point numbers.
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