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Signed-off-by: Athan <kgryte@gmail.com>
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lib/node_modules/@stdlib/stats/base/ndarray/smskmax/docs/types/index.d.ts

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import { float32ndarray, uint8ndarray } from '@stdlib/types/ndarray';
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/**
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* Computes the maximum value of a single-precision floating-point one-dimensional ndarray according to a mask.
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* Computes the maximum value of a one-dimensional single-precision floating-point ndarray according to a mask.
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*
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* @param arrays - array-like object containing one single-precision floating-point ndarray and one mask ndarray
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* @param arrays - array-like object containing an input ndarray and a mask ndarray
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* @returns maximum value
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*
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* @example

lib/node_modules/@stdlib/stats/base/ndarray/smskmax/lib/index.js

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'use strict';
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/**
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* Compute the maximum value of a single-precision floating-point one-dimensional ndarray according to a mask.
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* Compute the maximum value of a one-dimensional single-precision floating-point ndarray according to a mask.
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*
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* @module @stdlib/stats/base/ndarray/smskmax
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*

lib/node_modules/@stdlib/stats/base/ndarray/smskmax/lib/main.js

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// MAIN //
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/**
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* Computes the maximum value of a single-precision floating-point ndarray according to a mask.
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* Computes the maximum value of a one-dimensional single-precision floating-point ndarray according to a mask.
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*
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* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray and a mask ndarray
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* @returns {number} maximum value

lib/node_modules/@stdlib/stats/base/ndarray/smskmax/package.json

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{
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"name": "@stdlib/stats/base/ndarray/smskmax",
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"version": "0.0.0",
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"description": "Calculate the maximum value of a single-precision floating-point ndarray according to a mask.",
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"description": "Calculate the maximum value of a one-dimensional single-precision floating-point ndarray according to a mask.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

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