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* @license Apache-2.0
*
* Copyright (c) 2025 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var dtypes = require( '@stdlib/ndarray/dtypes' );
var gmskmax = require( '@stdlib/stats/base/ndarray/mskmax' );
var dmskmax = require( '@stdlib/stats/base/ndarray/dmskmax' );
var smskmax = require( '@stdlib/stats/base/ndarray/smskmax' );
var factory = require( '@stdlib/ndarray/base/binary-reduce-strided1d-dispatch-factory' );
// VARIABLES //
var idtypes = dtypes( 'real_and_generic' );
var mdtypes = dtypes( 'mask_index_and_generic' );
var odtypes = dtypes( 'real_and_generic' );
var policies = {
'output': 'promoted',
'casting': 'none'
};
var table = {
'types': [
'float64',
'uint8', // dmskmax: x, mask
'float32',
'uint8' // smskmax: x, mask
],
'fcns': [
dmskmax,
smskmax
],
'default': gmskmax
};
// MAIN //
/**
* Base implementation for computing the maximum value along one or more ndarray dimensions according to a mask.
*
* @name mskmax
* @type {Function}
* @param {ndarray} x - input ndarray
* @param {ndarray} mask - mask ndarray
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction
* @param {boolean} [options.keepdims=false] - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions
* @param {string} [options.dtype] - output ndarray data type
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} second argument must be an ndarray-like object
* @throws {TypeError} options argument must be an object
* @throws {RangeError} dimension indices must not exceed input ndarray bounds
* @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
* @throws {Error} must provide valid options
* @returns {ndarray} output ndarray
*/
var base = factory( table, [ idtypes, mdtypes ], odtypes, policies );
// EXPORTS //
module.exports = base;
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