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| 1 | +/** |
| 2 | +* @license Apache-2.0 |
| 3 | +* |
| 4 | +* Copyright (c) 2025 The Stdlib Authors. |
| 5 | +* |
| 6 | +* Licensed under the Apache License, Version 2.0 (the "License"); |
| 7 | +* you may not use this file except in compliance with the License. |
| 8 | +* You may obtain a copy of the License at |
| 9 | +* |
| 10 | +* http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | +* |
| 12 | +* Unless required by applicable law or agreed to in writing, software |
| 13 | +* distributed under the License is distributed on an "AS IS" BASIS, |
| 14 | +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 15 | +* See the License for the specific language governing permissions and |
| 16 | +* limitations under the License. |
| 17 | +*/ |
| 18 | + |
| 19 | +'use strict'; |
| 20 | + |
| 21 | +var normal = require( '@stdlib/random/array/normal' ); |
| 22 | +var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); |
| 23 | +var Float64Results = require( '@stdlib/stats/base/ztest/one-sample/results/float64' ); |
| 24 | +var structFactory = require( '@stdlib/array/struct-factory' ); |
| 25 | +var ztest = require( '@stdlib/stats/base/ndarray/ztest' ); |
| 26 | +var unaryReduceStrided1d = require( './../lib' ); |
| 27 | + |
| 28 | +var ResultsArray = structFactory( Float64Results ); |
| 29 | + |
| 30 | +var N = 10; |
| 31 | +var x = { |
| 32 | + 'dtype': 'generic', |
| 33 | + 'data': normal( N, 0.0, 1.0, { |
| 34 | + 'dtype': 'generic' |
| 35 | + }), |
| 36 | + 'shape': [ 1, 5, 2 ], |
| 37 | + 'strides': [ 10, 2, 1 ], |
| 38 | + 'offset': 0, |
| 39 | + 'order': 'row-major' |
| 40 | +}; |
| 41 | +var y = { |
| 42 | + 'dtype': Float64Results, |
| 43 | + 'data': new ResultsArray( 2 ), |
| 44 | + 'shape': [ 1, 2 ], |
| 45 | + 'strides': [ 2, 1 ], |
| 46 | + 'offset': 0, |
| 47 | + 'order': 'row-major' |
| 48 | +}; |
| 49 | +var alternative = { |
| 50 | + 'dtype': 'generic', |
| 51 | + 'data': [ 'two-sided' ], |
| 52 | + 'shape': [ 1, 2 ], |
| 53 | + 'strides': [ 0, 0 ], |
| 54 | + 'offset': 0, |
| 55 | + 'order': 'row-major' |
| 56 | +}; |
| 57 | +var alpha = { |
| 58 | + 'dtype': 'generic', |
| 59 | + 'data': [ 0.05 ], |
| 60 | + 'shape': [ 1, 2 ], |
| 61 | + 'strides': [ 0, 0 ], |
| 62 | + 'offset': 0, |
| 63 | + 'order': 'row-major' |
| 64 | +}; |
| 65 | +var mu = { |
| 66 | + 'dtype': 'generic', |
| 67 | + 'data': [ 0.0 ], |
| 68 | + 'shape': [ 1, 2 ], |
| 69 | + 'strides': [ 0, 0 ], |
| 70 | + 'offset': 0, |
| 71 | + 'order': 'row-major' |
| 72 | +}; |
| 73 | +var sigma = { |
| 74 | + 'dtype': 'generic', |
| 75 | + 'data': [ 1.0 ], |
| 76 | + 'shape': [ 1, 2 ], |
| 77 | + 'strides': [ 0, 0 ], |
| 78 | + 'offset': 0, |
| 79 | + 'order': 'row-major' |
| 80 | +}; |
| 81 | + |
| 82 | +unaryReduceStrided1d( ztest, [ x, y, alternative, alpha, mu, sigma ], [ 1 ] ); |
| 83 | + |
| 84 | +console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) ); |
| 85 | +console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) ); |
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