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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 dtypes = require( '@stdlib/ndarray/dtypes' );
var glastIndexOfFalsy = require( '@stdlib/blas/ext/base/ndarray/glast-index-of-falsy' );
var dlastIndexOfFalsy = require( '@stdlib/blas/ext/base/ndarray/dlast-index-of-falsy' );
var slastIndexOfFalsy = require( '@stdlib/blas/ext/base/ndarray/slast-index-of-falsy' );
var factory = require( '@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory' );
// VARIABLES //
var idtypes0 = dtypes( 'all' ); // input ndarray
var idtypes1 = dtypes( 'integer_index_and_generic' ); // from index ndarray
var odtypes = dtypes( 'integer_index_and_generic' );
var policies = {
'output': 'integer_index_and_generic',
'casting': 'none'
};
var table = {
'types': [
'float64',
'float32'
// FIXME: add specialized support for `clastIndexOfFalsy` and `zlastIndexOfFalsy` once the corresponding packages are implemented
],
'fcns': [
dlastIndexOfFalsy,
slastIndexOfFalsy
],
'default': glastIndexOfFalsy
};
// MAIN //
/**
* Returns the index of the last falsy element along an ndarray dimension.
*
* ## Notes
*
* - If unable to find a falsy element along an ndarray dimension, the corresponding element in the returned ndarray is `-1`.
* - The function explicitly treats `NaN` values as falsy.
*
* @private
* @name lastIndexOfFalsy
* @type {Function}
* @param {ndarrayLike} x - input ndarray
* @param {ndarrayLike} fromIndex - indices from which to begin searching
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
* @param {*} [options.dtype] - output ndarray data type
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} second argument must be either 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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ 1.0, 3.0, 0.0, 2.0, 0.0, 4.0 ] );
*
* // Define the shape of the input array:
* var sh = [ 6 ];
*
* // Define the array strides:
* var sx = [ 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create an input ndarray:
* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
*
* // Create a from index ndarray:
* var fromIndex = scalar2ndarray( -1, {
* 'dtype': 'int32'
* });
*
* // Perform operation:
* var out = lastIndexOfFalsy( x, fromIndex );
* // returns <ndarray>[ 4 ]
*/
var lastIndexOfFalsy = factory( table, [ idtypes0, idtypes1 ], odtypes, policies );
// EXPORTS //
module.exports = lastIndexOfFalsy;
// exports: { "assign": "lastIndexOfFalsy.assign" }
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