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* @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 gunitspace = require( '@stdlib/blas/ext/base/ndarray/gunitspace' );
var dunitspace = require( '@stdlib/blas/ext/base/ndarray/dunitspace' );
var sunitspace = require( '@stdlib/blas/ext/base/ndarray/sunitspace' );
var zunitspace = require( '@stdlib/blas/ext/base/ndarray/zunitspace' );
var cunitspace = require( '@stdlib/blas/ext/base/ndarray/cunitspace' );
var factory = require( '@stdlib/ndarray/base/nullary-strided1d-dispatch-factory' );
var DTYPES = require( './dtypes.js' );
// VARIABLES //
var table = {
'types': [
'float64', // output
'float32', // output
'complex128', // output
'complex64' // output
],
'fcns': [
dunitspace,
sunitspace,
zunitspace,
cunitspace
],
'default': gunitspace
};
var options = {
'strictTraversalOrder': true
};
// MAIN //
/**
* Fills an ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value along one or more ndarray dimensions.
*
* @private
* @name unitspace
* @type {Function}
* @param {ndarray} x - input ndarray
* @param {ndarray} start - starting value
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} first argument must have a supported data type
* @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} input ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var array = require( '@stdlib/ndarray/array' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
*
* // Define the shape of the input array:
* var sh = [ 2, 1, 3 ];
*
* // Define the array strides:
* var sx = [ 3, 3, 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create an input ndarray:
* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
*
* // Create an ndarray containing the starting value:
* var start = array( new Float64Array( [ 1.0, 4.0 ] ), {
* 'shape': [ 2, 1 ]
* });
*
* // Perform operation:
* var out = unitspace( x, start, {
* 'dims': [ -1 ]
* });
* // returns <ndarray>[ [ [ 1.0, 2.0, 3.0 ] ], [ [ 4.0, 5.0, 6.0 ] ] ]
*/
var unitspace = factory( table, [ DTYPES.idtypes0 ], DTYPES.odtypes, options );
// EXPORTS //
module.exports = unitspace;
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