stdlib-js

stdlib-js/math-base-assert-is-nanf

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

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Apache License 2.0
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Support the dependencies of stdlib-js/math-base-assert-is-nanf

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Load a manifest for compiling source files.
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Test if a value is a boolean.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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Wrap `require` in a try/catch block.
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tap-producing test harness for node and browsers
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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
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Minimal TAP output formatter.
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Benchmark harness.
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Boolean constructor.
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Number constructor.

Support the repos that depend on stdlib-js/math-base-assert-is-nanf

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Evaluate the ramp function (single-precision).
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Compute the arcsine of a single-precision floating-point number.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using pairwise summation with extended accumulation, and returning an extended precision result.
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Compute the hypotenuse avoiding overflow and underflow (single-precision).
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Compute the arctangent of a single-precision floating-point number.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation with extended accumulation.
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Compute the arccosine of a single-precision floating-point number.
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Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
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Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
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Calculate the maximum value of a single-precision floating-point strided array.
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Calculate the cumulative maximum of single-precision floating-point strided array elements.
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Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
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Sort a single-precision floating-point strided array using Shellsort.
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Evaluate the signum function for a single-precision floating-point number.
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Calculate the maximum absolute value of a single-precision floating-point strided array.
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Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.
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Calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
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Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
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Calculate the minimum value of a sorted single-precision floating-point strided array.
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Calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.
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Calculate the minimum absolute value of a single-precision floating-point strided array.
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Calculate the maximum absolute value of a sorted single-precision floating-point strided array.
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Base mathematical assertion utilities.
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Sort a single-precision floating-point strided array using heapsort.
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Calculate the minimum value of a single-precision floating-point strided array.
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Calculate the range of a single-precision floating-point strided array.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
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Calculate the cumulative minimum of single-precision floating-point strided array elements.
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Sort a single-precision floating-point strided array using insertion sort.
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Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.
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Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
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Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
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Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.
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Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

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