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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 11x 11x 11x 11x 2x 2x 2x 2x 2x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 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 reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Cumulatively tests whether every element in a double-precision floating-point strided array is falsy using alternative indexing semantics.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length for `x`
* @param {NonNegativeInteger} offsetX - starting index for `x`
* @param {Collection} out - output array
* @param {integer} strideOut - stride length for `out`
* @param {NonNegativeInteger} offsetOut - starting index for `out`
* @returns {Collection} output array
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var BooleanArray = require( '@stdlib/array/bool' );
*
* var x = new Float64Array( [ 0.0, 0.0, 1.0, 1.0 ] );
* var out = new BooleanArray( 4 );
*
* dcunone( 4, x, 1, 0, out, 1, 0 );
* // out => <BooleanArray>[ true, true, false, false ]
*/
function dcunone( N, x, strideX, offsetX, out, strideOut, offsetOut ) {
addon.ndarray( N, x, strideX, offsetX, reinterpretBoolean( out, 0 ), strideOut, offsetOut );
return out;
}
// EXPORTS //
module.exports = dcunone;
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