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* @license Apache-2.0
*
* Copyright (c) 2025 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 hasOwnProp = require( '@stdlib/assert/has-own-property' );
var objectAssign = require( '@stdlib/object/assign' );
var isObject = require( '@stdlib/assert/is-object' );
var isInteger = require( '@stdlib/assert/is-integer' ).isPrimitive;
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' );
var maybeBroadcastArray = require( '@stdlib/ndarray/base/maybe-broadcast-array' );
var getDType = require( '@stdlib/ndarray/dtype' );
var getShape = require( '@stdlib/ndarray/shape' );
var getOrder = require( '@stdlib/ndarray/order' );
var format = require( '@stdlib/string/format' );
var defaults = require( '@stdlib/ndarray/defaults' );
var nonCoreShape = require( './non_core_shape.js' );
var base = require( './base.js' ).assign;
// VARIABLES //
var DEFAULT_DTYPE = defaults.get( 'dtypes.integer_index' );
// MAIN //
/**
* Returns the first index of a specified search element along one or more ndarray dimensions and assigns the results to a provided output ndarray.
*
* @name assign
* @type {Function}
* @param {ndarrayLike} x - input ndarray
* @param {(ndarrayLike|*)} searchElement - search element
* @param {(ndarrayLike|integer)} [fromIndex] - index from which to begin searching
* @param {ndarrayLike} out - output ndarray
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
* @throws {TypeError} function must be provided at least three arguments
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} third argument must be either an ndarray-like object or an integer
* @throws {TypeError} fourth 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} output ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var zeros = require( '@stdlib/ndarray/zeros' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, -3.0, 4.0, -5.0, 6.0 ] );
*
* // Define the shape of the input array:
* var shape = [ 3, 1, 2 ];
*
* // Define the array strides:
* var strides = [ 2, 2, 1 ];
*
* // Define the index offset:
* var offset = 0;
*
* // Create an input ndarray:
* var x = new ndarray( 'float64', xbuf, shape, strides, offset, 'row-major' );
*
* // Create an output ndarray:
* var y = zeros( [], {
* 'dtype': 'int32'
* });
*
* // Perform operation:
* var out = assign( x, 4.0, y );
* // returns <ndarray>
*
* var bool = ( out === y );
* // returns true
*
* var idx = out.get();
* // returns 3
*/
function assign( x, searchElement, fromIndex, out, options ) {
var nargs;
var opts;
var ord;
var dt;
var sh;
nargs = arguments.length;
if ( nargs < 3 ) {
throw new TypeError( format( 'invalid argument. The function must be provided at least two arguments. Value: `%s`.', nargs ) );
}
if ( !isndarrayLike( x ) ) {
throw new TypeError( format( 'invalid argument. The first argument must be an ndarray-like object. Value: `%s`.', x ) );
}
// Resolve input ndarray meta data:
dt = getDType( x );
ord = getOrder( x );
// Initialize options object:
opts = {};
// Case: assign( x, searchElement, out )
if ( nargs === 3 ) {
out = fromIndex;
fromIndex = 0;
}
// Case: assign( x, searchElement, out, options )
else if (
nargs === 4 &&
isndarrayLike( fromIndex ) &&
!isndarrayLike( out ) &&
isObject( out )
) {
opts = objectAssign( opts, out );
out = fromIndex;
fromIndex = 0;
}
// Case: assign( x, searchElement, fromIndex, out, options )
else if ( nargs === 5 ) {
if ( !isObject( options ) ) {
throw new TypeError( format( 'invalid argument. The fifth argument must be an object. Value: `%s`.', options ) );
}
opts = objectAssign( opts, options );
}
// Resolve shape for broadcasting
if ( hasOwnProp( opts, 'dims' ) ) {
sh = nonCoreShape( getShape( x ), opts.dims );
} else {
sh = [];
}
// Normalize search element:
if ( isndarrayLike( searchElement ) ) {
searchElement = maybeBroadcastArray( searchElement, sh );
} else {
searchElement = broadcastScalar( searchElement, dt, sh, ord );
}
// Normalize from index:
if ( isndarrayLike( fromIndex ) ) {
fromIndex = maybeBroadcastArray( fromIndex, sh );
} else if ( isInteger( fromIndex ) ) {
fromIndex = broadcastScalar( fromIndex, DEFAULT_DTYPE, sh, ord );
} else {
throw new TypeError( format( 'invalid argument. Third argument must be either an ndarray or an integer. Value: `%s`.', fromIndex ) );
}
return base( x, searchElement, fromIndex, out, opts );
}
// EXPORTS //
module.exports = assign;
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