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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.
*/
/* eslint-disable max-len */
'use strict';
// MODULES //
var isNonNegativeIntegerArray = require( '@stdlib/assert/is-nonnegative-integer-array' ).primitives;
var isNonNegativeInteger = require( '@stdlib/assert/is-nonnegative-integer' ).isPrimitive;
var isIterableLike = require( '@stdlib/assert/is-iterable-like' );
var isArrayBuffer = require( '@stdlib/assert/is-arraybuffer' );
var isCollection = require( '@stdlib/assert/is-collection' );
var isDataType = require( '@stdlib/ndarray/base/assert/is-data-type' );
var objectAssign = require( '@stdlib/object/assign' );
var format = require( '@stdlib/string/format' );
var validate = require( './validate.js' );
var main = require( './main.js' );
// MAIN //
/**
* Returns a function for creating a matrix (i.e., a two-dimensional ndarray).
*
* @param {*} dtype - data type
* @param {Options} [options] - function options
* @param {boolean} [options.readonly=false] - boolean indicating whether to return a read-only matrix by default
* @param {string} [options.mode='throw'] - specifies the default behavior when handling indices which exceed matrix dimensions
* @param {StringArray} [options.submode=[options.mode]] - specifies how to handle subscripts which exceed array dimensions on a per dimension basis
* @param {string} [options.order='row-major'] - default memory layout (either row-major or column-major)
* @throws {TypeError} first argument must be a supported data type
* @throws {TypeError} options argument must be an object
* @throws {TypeError} must provide valid options
* @returns {Function} function for creating a matrix
*
* @example
* var getDType = require( '@stdlib/ndarray/dtype' );
* var getShape = require( '@stdlib/ndarray/shape' );
*
* var Float32Matrix = factory( 'float32' );
*
* var arr = new Float32Matrix( [ [ 1, 2 ], [ 3, 4 ] ] );
* // returns <ndarray>
*
* var dt = String( getDType( arr ) );
* // returns 'float32'
*
* var sh = getShape( arr );
* // returns [ 2, 2 ]
*
* @example
* var getDType = require( '@stdlib/ndarray/dtype' );
* var getShape = require( '@stdlib/ndarray/shape' );
*
* var Float32Matrix = factory( 'float32' );
*
* var arr = new Float32Matrix( 3, 3 );
* // returns <ndarray>
*
* var dt = String( getDType( arr ) );
* // returns 'float32'
*
* var sh = getShape( arr );
* // returns [ 3, 3 ]
*
* @example
* var ArrayBuffer = require( '@stdlib/array/buffer' );
* var getDType = require( '@stdlib/ndarray/dtype' );
* var getShape = require( '@stdlib/ndarray/shape' );
*
* var Float32Matrix = factory( 'float32' );
*
* var buf = new ArrayBuffer( 12 );
* var arr = new Float32Matrix( buf );
* // returns <ndarray>
*
* var dt = String( getDType( arr ) );
* // returns 'float32'
*
* var sh = getShape( arr );
* // returns [ 1, 3 ]
*
* @example
* var ArrayBuffer = require( '@stdlib/array/buffer' );
* var getDType = require( '@stdlib/ndarray/dtype' );
* var getShape = require( '@stdlib/ndarray/shape' );
*
* var Float32Matrix = factory( 'float32' );
*
* var buf = new ArrayBuffer( 12 );
* var arr = new Float32Matrix( buf, 4 );
* // returns <ndarray>
*
* var dt = String( getDType( arr ) );
* // returns 'float32'
*
* var sh = getShape( arr );
* // returns [ 1, 2 ]
*
* @example
* var ArrayBuffer = require( '@stdlib/array/buffer' );
* var getDType = require( '@stdlib/ndarray/dtype' );
* var getShape = require( '@stdlib/ndarray/shape' );
*
* var Float32Matrix = factory( 'float32' );
*
* var buf = new ArrayBuffer( 64 );
* var arr = new Float32Matrix( buf, 4, 2, 2 );
* // returns <ndarray>
*
* var dt = String( getDType( arr ) );
* // returns 'float32'
*
* var sh = getShape( arr );
* // returns [ 2, 2 ]
*/
function factory( dtype, options ) {
var opts;
var err;
if ( !isDataType( dtype ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a supported data type. Value: `%s`.', dtype ) );
}
opts = {};
if ( arguments.length > 1 ) {
err = validate( opts, options );
if ( err ) {
throw err;
}
}
return matrix;
/**
* Creates a matrix (i.e., a two-dimensional ndarray).
*
* @private
* @param {(NonNegativeInteger|NonNegativeIntegerArray|ArrayLikeObject<Collection>|ArrayBuffer|Iterable)} [arg0] - number of rows, shape, array-like object, ArrayBuffer, or iterable
* @param {NonNegativeInteger} [arg1] - number of columns or byte offset
* @param {NonNegativeInteger} [arg2] - number of rows or shape
* @param {Options} [options] - function options
* @param {boolean} [options.readonly] - boolean indicating whether to return a read-only matrix
* @param {string} [options.mode] - specifies how to handle indices which exceed matrix dimensions
* @param {StringArray} [options.submode] - specifies how to handle subscripts which exceed array dimensions on a per dimension basis
* @param {string} [options.order] - memory layout (either row-major or column-major)
* @throws {Error} unexpected error
* @returns {ndarray} two-dimensional ndarray
*/
function matrix() {
var options;
var nargs;
var arg0;
var arg1;
var arg2;
var err;
options = objectAssign( {}, opts );
nargs = arguments.length;
// Case: matrix()
if ( nargs === 0 ) {
return main( dtype, options );
}
// Case: matrix( ArrayBuffer, byteOffset, M, N, options )
if ( nargs > 4 ) {
err = validate( options, arguments[ 4 ] );
if ( err ) {
throw err;
}
return main( arguments[ 0 ], arguments[ 1 ], arguments[ 2 ], arguments[ 3 ], dtype, options );
}
// Case: matrix( ArrayBuffer, byteOffset, arg2, arg3 )
if ( nargs === 4 ) {
// Case: matrix( ArrayBuffer, byteOffset, M, N )
if ( isNonNegativeInteger( arguments[ 2 ] ) ) {
return main( arguments[ 0 ], arguments[ 1 ], arguments[ 2 ], arguments[ 3 ], dtype, options );
}
// Case: matrix( ArrayBuffer, byteOffset, shape, options )
err = validate( options, arguments[ 3 ] );
if ( err ) {
throw err;
}
return main( arguments[ 0 ], arguments[ 1 ], arguments[ 2 ], dtype, options );
}
// Case: matrix( arg0, arg1, arg2 )
if ( nargs === 3 ) {
arg0 = arguments[ 0 ];
arg1 = arguments[ 1 ];
arg2 = arguments[ 2 ];
// Case: matrix( M, N, options )
if ( isNonNegativeInteger( arg0 ) && isNonNegativeInteger( arg1 ) ) {
err = validate( options, arg2 );
if ( err ) {
throw err;
}
return main( arg0, arg1, dtype, options );
}
// Case: matrix( ArrayBuffer, byteOffset, shape )
if ( isNonNegativeIntegerArray( arg2 ) ) {
return main( arg0, arg1, arg2, dtype, options );
}
// Case: matrix( ArrayBuffer, byteOffset, options )
err = validate( options, arg2 );
if ( err ) {
throw err;
}
return main( arg0, arg1, dtype, options );
}
// Case: matrix( arg0, arg1 )
if ( nargs === 2 ) {
arg0 = arguments[ 0 ];
arg1 = arguments[ 1 ];
// Case: matrix( M, N )
if ( isNonNegativeInteger( arg0 ) && isNonNegativeInteger( arg1 ) ) {
return main( arg0, arg1, dtype, options );
}
// Case: matrix( shape, options )
if ( isNonNegativeIntegerArray( arg0 ) ) {
err = validate( options, arg1 );
if ( err ) {
throw err;
}
return main( arg0, dtype, options );
}
// Case: matrix( ArrayBuffer, arg1 )
if ( isArrayBuffer( arg0 ) ) {
// Case: matrix( ArrayBuffer, byteOffset )
if ( isNonNegativeInteger( arg1 ) ) {
return main( arg0, arg1, dtype, options );
}
// Case: matrix( ArrayBuffer, options )
err = validate( options, arg1 );
if ( err ) {
throw err;
}
return main( arg0, dtype, options );
}
// Case: matrix( collection, options )
if ( isCollection( arg0 ) ) {
err = validate( options, arg1 );
if ( err ) {
throw err;
}
return main( arg0, dtype, options );
}
// Case: matrix( iterable, options )
err = validate( options, arg1 );
if ( err ) {
throw err;
}
return main( arg0, dtype, options );
}
// nargs === 1
arg0 = arguments[ 0 ];
// Case: matrix( shape|Collection|ArrayBuffer|Iterable )
if (
isArrayBuffer( arg0 ) ||
isCollection( arg0 ) ||
isIterableLike( arg0 )
) {
return main( arg0, dtype, options );
}
// Case: matrix( options )
err = validate( options, arg0 );
if ( err ) {
throw err;
}
return main( dtype, options );
}
}
// EXPORTS //
module.exports = factory;
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