stdlib-js

stdlib-js/array-float64

Float64Array.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/array-float64

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Test if an object has a specified property, either own or inherited.
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Test if a value is an ArrayBuffer.
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Test if a value is a boolean.
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Test if a value is a function.
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Test if a value is a number having a nonnegative integer value.
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Exponential function.
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Pseudorandom numbers having integer values.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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Proxies nodejs require in order to allow overriding dependencies during testing.
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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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Test if a value is a Float64Array.
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Detect native Float64Array support.

Support the repos that depend on stdlib-js/array-float64

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Copy or deep clone a value to an arbitrary depth.
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Return a JSON representation of a typed array.
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Return the data type of an array.
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Return the real and imaginary components of a double-precision complex floating-point number.
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Reinterpret a Complex128Array as a Float64Array.
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Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
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Split a double-precision floating-point number into a higher order word and a lower order word.
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Compute a moving arithmetic mean incrementally.
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Create a double-precision floating-point number from a higher order word and a lower order word.
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Array constructors.
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Set the more significant 32 bits of a double-precision floating-point number.
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Compute a moving corrected sample standard deviation incrementally.
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Compute a moving sum incrementally.
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Set the less significant 32 bits of a double-precision floating-point number.
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Return the real and imaginary components of a double-precision complex floating-point number.
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Test if a value is a typed array.
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Compute a moving sample Pearson product-moment correlation coefficient incrementally.
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Compute a moving minimum incrementally.
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Typed array constructors.
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Compute a moving maximum incrementally.
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Return the data type of an ndarray data buffer.
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Hypergeometric distribution cumulative distribution function (CDF).
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ndarray data buffer constructors.
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Detect native ArrayBuffer support.
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Compute a moving mid-range incrementally.
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Typed array constructors.
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Compute a moving range incrementally.
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Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
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Real-valued floating-point typed array constructors.
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Return an unsigned 32-bit integer corresponding to the less significant 32 bits of a double-precision floating-point number.
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Compute a moving minimum and maximum incrementally.
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Compute a moving product incrementally.
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Incrementally partition data into `k` clusters.
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Compute a moving coefficient of variation (CV) incrementally.
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Compute a moving geometric mean incrementally.

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