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feat: add 0d implementation
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‎lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 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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// MAIN //
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/**
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* Applies a condition to two zero-dimensional input ndarrays according to a zero-dimensional boolean ndarray and assigns the result to elements in a zero-dimensional output ndarray.
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*
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* @private
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* @param {Object} condition - object containing boolean condition ndarray meta data
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* @param {*} condition.dtype - data type
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* @param {Collection} condition.data - data buffer
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* @param {NonNegativeIntegerArray} condition.shape - dimensions
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* @param {IntegerArray} condition.strides - stride lengths
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* @param {NonNegativeInteger} condition.offset - index offset
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* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} x - object containing first input ndarray meta data
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* @param {*} x.dtype - data type
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* @param {Collection} x.data - data buffer
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* @param {NonNegativeIntegerArray} x.shape - dimensions
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* @param {IntegerArray} x.strides - stride lengths
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* @param {NonNegativeInteger} x.offset - index offset
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* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} y - object containing second input ndarray meta data
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* @param {*} y.dtype - data type
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* @param {Collection} y.data - data buffer
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* @param {NonNegativeIntegerArray} y.shape - dimensions
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* @param {IntegerArray} y.strides - stride lengths
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* @param {NonNegativeInteger} y.offset - index offset
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* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} out - object containing output ndarray meta data
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* @param {*} out.dtype - data type
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* @param {Collection} out.data - data buffer
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* @param {NonNegativeIntegerArray} out.shape - dimensions
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* @param {IntegerArray} out.strides - stride lengths
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* @param {NonNegativeInteger} out.offset - index offset
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* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
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* @returns {void}
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var Uint8Array = require( '@stdlib/array/uint8' );
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*
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* // Create data buffers:
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* var cbuf = new Uint8Array( [ 1 ] );
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* var xbuf = new Float64Array( [ 1.0 ] );
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* var ybuf = new Float64Array( [ 2.0 ] );
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* var obuf = new Float64Array( 1 );
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*
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* // Define the shape of the arrays (0-dimensional = scalar):
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* var shape = [];
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*
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* // Define the array strides:
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* var sc = [ 0 ];
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* var sx = [ 0 ];
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* var sy = [ 0 ];
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* var so = [ 0 ];
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*
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* // Define the index offsets:
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* var oc = 0;
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* var ox = 0;
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* var oy = 0;
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* var oo = 0;
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*
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* // Create the ndarray-like objects:
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* var condition = {
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* 'dtype': 'uint8',
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* 'data': cbuf,
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* 'shape': shape,
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* 'strides': sc,
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* 'offset': oc,
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* 'order': 'row-major'
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* };
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* var x = {
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* 'dtype': 'float64',
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* 'data': xbuf,
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* 'shape': shape,
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* 'strides': sx,
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* 'offset': ox,
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* 'order': 'row-major'
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* };
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* var y = {
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* 'dtype': 'float64',
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* 'data': ybuf,
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* 'shape': shape,
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* 'strides': sy,
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* 'offset': oy,
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* 'order': 'row-major'
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* };
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* var out = {
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* 'dtype': 'float64',
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* 'data': obuf,
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* 'shape': shape,
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* 'strides': so,
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* 'offset': oo,
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* 'order': 'row-major'
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* };
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*
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* // Apply the condition:
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* where0d( condition, x, y, out );
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*
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* console.log( out.data );
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* // => <Float64Array>[ 1.0 ]
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*/
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function where0d( condition, x, y, out ) {
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out.data[ out.offset ] = ( condition.data[ condition.offset ] ) ? x.data[ x.offset ] : y.data[ y.offset ];
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}
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// EXPORTS //
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module.exports = where0d;

‎lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 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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// MAIN //
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/**
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* Applies a condition to two zero-dimensional input ndarrays according to a zero-dimensional boolean ndarray and assigns the result to elements in a zero-dimensional output ndarray.
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*
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* @private
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* @param {Object} condition - object containing boolean condition ndarray meta data
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* @param {*} condition.dtype - data type
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* @param {Collection} condition.data - data buffer
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* @param {NonNegativeIntegerArray} condition.shape - dimensions
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* @param {IntegerArray} condition.strides - stride lengths
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* @param {NonNegativeInteger} condition.offset - index offset
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* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} x - object containing first input ndarray meta data
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* @param {*} x.dtype - data type
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* @param {Collection} x.data - data buffer
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* @param {NonNegativeIntegerArray} x.shape - dimensions
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* @param {IntegerArray} x.strides - stride lengths
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* @param {NonNegativeInteger} x.offset - index offset
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* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} y - object containing second input ndarray meta data
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* @param {*} y.dtype - data type
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* @param {Collection} y.data - data buffer
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* @param {NonNegativeIntegerArray} y.shape - dimensions
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* @param {IntegerArray} y.strides - stride lengths
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* @param {NonNegativeInteger} y.offset - index offset
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* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
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* @param {Object} out - object containing output ndarray meta data
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* @param {*} out.dtype - data type
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* @param {Collection} out.data - data buffer
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* @param {NonNegativeIntegerArray} out.shape - dimensions
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* @param {IntegerArray} out.strides - stride lengths
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* @param {NonNegativeInteger} out.offset - index offset
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* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
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* @returns {void}
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var Uint8Array = require( '@stdlib/array/uint8' );
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*
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* // Create data buffers:
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* var cbuf = new Uint8Array( [ 1 ] );
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* var xbuf = new Float64Array( [ 1.0 ] );
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* var ybuf = new Float64Array( [ 2.0 ] );
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* var obuf = new Float64Array( 1 );
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*
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* // Define the shape of the arrays (0-dimensional = scalar):
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* var shape = [];
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*
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* // Define the array strides:
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* var sc = [ 0 ];
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* var sx = [ 0 ];
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* var sy = [ 0 ];
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* var so = [ 0 ];
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*
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* // Define the index offsets:
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* var oc = 0;
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* var ox = 0;
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* var oy = 0;
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* var oo = 0;
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*
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* // Create the ndarray-like objects:
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* var condition = {
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* 'dtype': 'uint8',
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* 'data': cbuf,
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* 'shape': shape,
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* 'strides': sc,
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* 'offset': oc,
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* 'order': 'row-major'
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* };
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* var x = {
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* 'dtype': 'float64',
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* 'data': xbuf,
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* 'shape': shape,
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* 'strides': sx,
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* 'offset': ox,
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* 'order': 'row-major'
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* };
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* var y = {
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* 'dtype': 'float64',
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* 'data': ybuf,
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* 'shape': shape,
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* 'strides': sy,
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* 'offset': oy,
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* 'order': 'row-major'
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* };
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* var out = {
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* 'dtype': 'float64',
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* 'data': obuf,
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* 'shape': shape,
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* 'strides': so,
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* 'offset': oo,
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* 'order': 'row-major'
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* };
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*
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* // Apply the condition:
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* where0d( condition, x, y, out );
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*
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* console.log( out.data );
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* // => <Float64Array>[ 1.0 ]
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*/
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function where0d( condition, x, y, out ) {
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out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) );
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}
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// EXPORTS //
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module.exports = where0d;

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