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chore: clean-up
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‎lib/node_modules/@stdlib/stats/base/ndarray/variancewd/benchmark/benchmark.js‎

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return benchmark;
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/**
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* Benchmark function.
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*
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* @private
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* @param {Benchmark} b - benchmark instance
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*/
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function benchmark( b ) {
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var v;
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var i;

‎lib/node_modules/@stdlib/stats/base/ndarray/variancewd/docs/repl.txt‎

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{{alias}}( arrays )
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Computes the variance of a one-dimensional ndarray using
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Welford's algorithm.
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Computes the variance of a one-dimensional ndarray using Welford's
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algorithm.
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If provided an empty one-dimensional ndarray, the function returns `NaN`.
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‎lib/node_modules/@stdlib/stats/base/ndarray/variancewd/package.json‎

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"sample variance",
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"unbiased",
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"ndarray",
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"float32",
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"float64"
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"welford"
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],
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"__stdlib__": {}
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}

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