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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 isMostlySafeCast = require( '@stdlib/ndarray/base/assert/is-mostly-safe-data-type-cast' );
var isEqualDataType = require( '@stdlib/ndarray/base/assert/is-equal-data-type' );
var maybeBroadcastArray = require( '@stdlib/ndarray/base/maybe-broadcast-array' );
var broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' );
var getOrder = require( '@stdlib/ndarray/base/order' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var baseEmpty = require( '@stdlib/ndarray/base/empty' );
var assign = require( '@stdlib/ndarray/base/assign' );
var format = require( '@stdlib/string/format' );
var ENUMS = require( './type_enums.js' );
// MAIN //
/**
* Normalizes a `start` argument to an ndarray.
*
* @private
* @param {*} start - starting value
* @param {NonNegativeInteger} type - argument type
* @param {Array} dtypes - argument data types
* @param {NonNegativeIntegerArray} shape - array shape
* @param {string} order - array order
* @throws {TypeError} only (mostly) safe casts are supported
* @returns {ndarray} starting value as an ndarray
*/
function normalizeArgument( start, type, dtypes, shape, order ) {
var odt;
var out;
var v;
odt = dtypes[ 1 ];
// Case: start === <number>
if ( type === ENUMS.NUMBER ) {
// A number primitive should be able to cast to any supported output data type (real or complex):
out = broadcastScalar( start, odt, shape, order );
}
// Case: start === <ndarray>
else if ( type === ENUMS.NDARRAY ) {
// Case: start has the same dtype as the output dtype
if ( isEqualDataType( dtypes[ 0 ], odt ) ) {
out = maybeBroadcastArray( start, shape );
}
// Case: start has a different dtype than the output dtype
else if ( isMostlySafeCast( dtypes[ 0 ], odt ) ) {
// If we have unequal data types, we need to perform a copy...
v = baseEmpty( odt, getShape( start, false ), getOrder( start ) );
assign( [ start, v ] );
out = maybeBroadcastArray( v, shape );
}
// Case: disallowed complex-to-real data type cast
else {
throw new TypeError( format( 'invalid argument. Second argument cannot be safely cast to the desired output data type. Output data type: %s. Argument data type: %s.', String( odt ), String( dtypes[ 0 ] ) ) );
}
}
// Case: start === <complex>
else {
// Complex number scalars should only be able to cast to complex data types...
if ( !isMostlySafeCast( dtypes[ 0 ], odt ) ) {
throw new TypeError( format( 'invalid argument. Second argument cannot be safely cast to the desired output data type. Output data type: %s. Argument data type: %s.', String( odt ), String( dtypes[ 0 ] ) ) );
}
out = broadcastScalar( start, odt, shape, order );
}
return out;
}
// EXPORTS //
module.exports = normalizeArgument;
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