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* @license Apache-2.0
*
* Copyright (c) 2024 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 isPlainObject = require( '@stdlib/assert/is-plain-object' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var isFunction = require( '@stdlib/assert/is-function' );
var hasOwnProp = require( '@stdlib/assert/has-own-property' );
var emptyLike = require( '@stdlib/ndarray/empty-like' );
var base = require( '@stdlib/ndarray/base/map' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Applies a callback function to elements in an input ndarray and assigns results to elements in a new output ndarray.
*
* @param {ndarray} x - input ndarray
* @param {Options} [options] - function options
* @param {string} [options.dtype] - output array data type
* @param {Callback} fcn - callback function
* @param {*} [thisArg] - callback execution context
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} callback argument must be a function
* @throws {TypeError} options argument must be an object
* @returns {ndarray} output ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* function scale( z ) {
* return z * 10.0;
* }
*
* var buffer = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
* var shape = [ 2, 3 ];
* var strides = [ 6, 1 ];
* var offset = 1;
*
* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
* // returns <ndarray>
*
* var y = map( x, scale );
* // returns <ndarray>[ [ 20.0, 30.0, 40.0 ], [ 80.0, 90.0, 100.0 ] ]
*/
function map( x, options, fcn, thisArg ) {
var hasOpts;
var clbk;
var opts;
var ctx;
var y;
if ( !isndarrayLike( x ) ) {
throw new TypeError( format( 'invalid argument. First argument must be an ndarray-like object. Value: `%s`.', x ) );
}
if ( arguments.length < 3 ) {
clbk = options;
} else if ( arguments.length === 3 ) {
if ( isFunction( options ) ) {
clbk = options;
ctx = fcn;
} else {
hasOpts = true;
opts = options;
clbk = fcn;
}
} else {
hasOpts = true;
opts = options;
clbk = fcn;
ctx = thisArg;
}
if ( !isFunction( clbk ) ) {
throw new TypeError( format( 'invalid argument. Callback argument must be a function. Value: `%s`.', clbk ) );
}
if ( hasOpts ) {
if ( !isPlainObject( opts ) ) {
throw new TypeError( format( 'invalid argument. Options argument must be an object. Value: `%s`.', opts ) );
}
if ( hasOwnProp( opts, 'dtype' ) ) {
// Delegate `dtype` validation to `emptyLike` during output array creation:
y = emptyLike( x, {
'dtype': opts.dtype
});
} else {
// We only support a `dtype` option, so avoid passing along any other options:
y = emptyLike( x );
}
} else {
y = emptyLike( x );
}
base( [ x, y ], clbk, ctx );
return y;
}
// EXPORTS //
module.exports = map;
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