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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 isFunction = require( '@stdlib/assert/is-function' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var isOrder = require( '@stdlib/ndarray/base/assert/is-order' );
var hasOwnProp = require( '@stdlib/assert/has-own-property' );
var zeros = require( '@stdlib/array/base/zeros' );
var getShape = require( '@stdlib/ndarray/shape' );
var getOrder = require( '@stdlib/ndarray/order' );
var numel = require( '@stdlib/ndarray/base/numel' );
var nextCartesianIndex = require( '@stdlib/ndarray/base/next-cartesian-index' ).assign;
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Return the first element in the ndarray that passes a test implemented by a predicate function.
*
* @param {ndarray} x - input ndarray
* @param {Options} [options] - function options
* @param {boolean} [options.order] - index iteration order
* @param {Callback} predicate - predicate function
* @param {*} [thisArg] - predicate execution context
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} options argument must be an object
* @throws {TypeError} callback argument must be a function
* @returns {number} result
*
* @example
* var isEven = require( '@stdlib/assert/is-even' ).isPrimitive;
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
*
* 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 = [ 5, 2 ];
* var offset = 0;
*
* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
* // returns <ndarray>
*
* var arr = ndarray2array( x );
* // returns [ [ 1.0, 3.0, 5.0 ], [ 6.0, 8.0, 10.0 ] ]
*
* var y = findElement( x, isEven );
* // returns 6.0
*/
function findElement( x, options, predicate, thisArg ) {
var hasOpts;
var ndims;
var clbk;
var opts;
var ctx;
var ord;
var dim;
var idx;
var sh;
var N;
var v;
var i;
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 = predicate;
} else {
hasOpts = true;
opts = options;
clbk = predicate;
}
} else {
hasOpts = true;
opts = options;
clbk = predicate;
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, 'order' ) ) {
if ( !isOrder( opts.order ) ) {
throw new TypeError( format( 'invalid option. `%s` option must be a recognized order. Option: `%s`.', 'order', opts.order ) );
}
ord = opts.order;
}
}
// Resolve the iteration order:
if ( ord === void 0 ) {
ord = getOrder( x );
}
// Resolve the input array shape:
sh = getShape( x );
// Compute the number of array elements:
N = numel( sh );
// Retrieve the number of dimensions:
ndims = sh.length;
// Resolve the dimension in which indices should iterate fastest:
if ( ord === 'row-major' ) {
dim = ndims - 1;
} else { // ord === 'column-major'
dim = 0;
}
// Initialize an index array workspace:
idx = zeros( ndims );
// Check elements according to a predicate function...
for ( i = 0; i < N; i++ ) {
if ( i > 0 ) {
idx = nextCartesianIndex( sh, ord, idx, dim, idx );
}
v = x.get.apply( x, idx );
if ( clbk.call( ctx, v, idx.slice(), x ) ) {
return v;
}
}
return NaN;
}
// EXPORTS //
module.exports = findElement;
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