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lib/node_modules/@stdlib/stats/strided/dnancumin/docs/repl.txt

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{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
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Computes the cumulative minimum of double-precision floating-point strided
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array elements using alternative indexing semantics ignoring `NaN` values.
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array elements using alternative indexing semantics, ignoring `NaN` values.
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While typed array views mandate a view offset based on the underlying
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buffer, the `offset` parameter supports indexing semantics based on a

lib/node_modules/@stdlib/stats/strided/dnancumin/package.json

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{
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"name": "@stdlib/stats/strided/dnancumin",
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"version": "0.0.0",
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"description": "Calculate the cumulative minimum of double-precision floating-point strided array elements ignoring the `NaN` values.",
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"description": "Calculate the cumulative minimum of double-precision floating-point strided array elements ignoring NaN values.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/strided/dnancumin/src/main.c

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#include "stdlib/math/base/assert/is_negative_zero.h"
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#include "stdlib/blas/base/shared.h"
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#include "stdlib/strided/base/stride2offset.h"
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#include <stdbool.h>
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/**
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* Computes the cumulative minimum of double-precision floating-point strided array elements ignoring `NaN` values.

lib/node_modules/@stdlib/stats/strided/dnancumin/test/test.dnancumin.js

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expected = new Float64Array([
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0.0,
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-0.0,
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]);
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for ( i = 0; i < y.length; i++ ) {
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if ( isNegativeZero( expected[ i ] ) ) {

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