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test: add tests to ndarray/every for complete test coverage
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‎lib/node_modules/@stdlib/ndarray/every/test/test.assign.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var tape = require( 'tape' );
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var Float64Array = require( '@stdlib/array/float64' );
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var ndarray = require( '@stdlib/ndarray/ctor' );
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var empty = require( '@stdlib/ndarray/empty' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var assign = require( './../lib/assign.js' );
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// TESTS //
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tape( 'main export is a function', function test( t ) {
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t.ok( true, __filename );
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t.strictEqual( typeof assign, 'function', 'main export is a function' );
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t.end();
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});
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tape( 'the function throws an error if provided a first argument which is not an ndarray-like object', function test( t ) {
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var values;
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var y;
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var i;
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y = empty( [], {
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'dtype': 'bool'
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});
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values = [
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'5',
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5,
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NaN,
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true,
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false,
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null,
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void 0,
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{},
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[],
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function noop() {}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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assign( value, y );
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};
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}
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});
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tape( 'the function throws an error if provided a first argument which is not an ndarray-like object (options)', function test( t ) {
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var values;
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var y;
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var i;
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y = empty( [], {
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'dtype': 'bool'
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});
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values = [
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'5',
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5,
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NaN,
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true,
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false,
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null,
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void 0,
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{},
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[],
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function noop() {}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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assign( value, y, {} );
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};
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}
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});
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tape( 'the function throws an error if provided a second argument which is not an ndarray-like object', function test( t ) {
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var values;
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var x;
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var i;
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x = empty( [ 2, 2 ], {
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'dtype': 'float64'
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});
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values = [
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'5',
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5,
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NaN,
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true,
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false,
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null,
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void 0,
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{},
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[],
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function noop() {}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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assign( x, value );
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};
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}
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});
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tape( 'the function throws an error if provided a second argument which is not an ndarray-like object (options)', function test( t ) {
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var values;
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var x;
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var i;
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x = empty( [ 2, 2 ], {
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'dtype': 'float64'
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});
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values = [
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'5',
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5,
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NaN,
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true,
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false,
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null,
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void 0,
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{},
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[],
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function noop() {}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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assign( x, value, {} );
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};
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}
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});
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tape( 'the function throws an error if provided an options argument which is not an object', function test( t ) {
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var values;
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var x;
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var y;
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var i;
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x = empty( [ 2, 2 ], {
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'dtype': 'float64'
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});
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y = empty( [ 2 ], {
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'dtype': 'bool'
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});
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values = [
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'5',
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5,
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NaN,
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true,
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false,
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null,
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void 0,
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[],
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function noop() {}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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assign( x, y, value );
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};
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}
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});
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tape( 'the function throws an error if provided an options with invalid `dims` property', function test( t ) {
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var values;
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var x;
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var y;
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var i;
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x = empty( [ 2, 2 ], {
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'dtype': 'float64'
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});
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y = empty( [ 2 ], {
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'dtype': 'bool'
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});
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values = [
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'5',
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NaN,
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true,
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false,
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null,
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void 0,
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{}
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];
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for ( i = 0; i < values.length; i++ ) {
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t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
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}
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t.end();
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function badValue( value ) {
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return function badValue() {
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var opts = {
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'dims': value
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};
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assign( x, y, opts );
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};
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}
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});
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tape( 'the function tests whether every element along one or more ndarray dimensions is truthy (row-major)', function test( t ) {
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var expected;
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var actual;
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var x;
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var y;
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x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'row-major' );
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y = empty( [], {
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'dtype': 'bool'
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});
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actual = assign( x, y );
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expected = true;
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t.strictEqual( actual, y, 'returns expected value' );
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t.strictEqual( actual.get(), expected, 'returns expected value' );
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0 ] ), [ 4 ], [ 1 ], 0, 'row-major' );
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y = empty( [], {
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'dtype': 'bool'
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});
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actual = assign( x, y );
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expected = false;
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t.strictEqual( actual, y, 'returns expected value' );
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t.strictEqual( actual.get(), expected, 'returns expected value' );
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t.end();
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});
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tape( 'the function tests whether every element along one or more ndarray dimensions is truthy (column-major)', function test( t ) {
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var expected;
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var actual;
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var x;
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var y;
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x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
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y = empty( [], {
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'dtype': 'bool'
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});
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actual = assign( x, y );
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expected = true;
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t.strictEqual( actual, y, 'returns expected value' );
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t.strictEqual( actual.get(), expected, 'returns expected value' );
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
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y = empty( [], {
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'dtype': 'bool'
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});
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actual = assign( x, y );
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expected = false;
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t.strictEqual( actual, y, 'returns expected value' );
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t.strictEqual( actual.get(), expected, 'returns expected value' );
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t.end();
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});
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tape( 'the function supports specifying reduction dimensions (row-major)', function test( t ) {
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var expected;
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var actual;
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var opts;
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var x;
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var y;
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0, 4.0, -5.0, 6.0, -7.0, 8.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
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opts = {
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'dims': [ 0 ]
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};
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y = empty( [ 4 ], {
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'dtype': 'bool'
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});
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actual = assign( x, y, opts );
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expected = [ true, true, true, true ];
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t.strictEqual( actual, y, 'returns expected value' );
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t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, -5.0, 0.0, -7.0, 0.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
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opts = {
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'dims': [ 0 ]
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};
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y = empty( [ 4 ], {
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'dtype': 'bool'
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});
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actual = assign( x, y, opts );
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expected = [ true, false, true, false ];
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t.strictEqual( actual, y, 'returns expected value' );
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t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
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t.end();
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});
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tape( 'the function supports specifying reduction dimensions (column-major)', function test( t ) {
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var expected;
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var actual;
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var opts;
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var x;
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var y;
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ), [ 2, 4 ], [ 1, 2 ], 0, 'column-major' );
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opts = {
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'dims': [ 1 ]
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};
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y = empty( [ 2 ], {
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'dtype': 'bool'
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});
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actual = assign( x, y, opts );
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expected = [ true, true ];
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t.strictEqual( actual, y, 'returns expected value' );
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t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
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x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, 5.0, 0.0, 7.0, 0.0 ] ), [ 2, 4 ], [ 1, 2 ], 0, 'column-major' );
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opts = {
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'dims': [ 1 ]
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};
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y = empty( [ 2 ], {
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'dtype': 'bool'
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});
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actual = assign( x, y, opts );
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expected = [ true, false ];
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t.strictEqual( actual, y, 'returns expected value' );
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t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
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t.end();
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});

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