diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/README.md b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/README.md
new file mode 100644
index 000000000000..dc89a52d5b8e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/README.md
@@ -0,0 +1,150 @@
+
+
+# binaryInputCastingDataType
+
+> Resolve the input ndarray casting [data type][@stdlib/ndarray/dtypes] for a binary function.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var binaryInputCastingDataType = require( '@stdlib/ndarray/base/binary-input-casting-dtype' );
+```
+
+#### binaryInputCastingDataType( idtype1, idtype2, odtype, policy )
+
+Resolves the input ndarray casting [data type][@stdlib/ndarray/dtypes] for a binary function according to a [data type policy][@stdlib/ndarray/input-casting-policies].
+
+```javascript
+var dt = binaryInputCastingDataType( 'int32', 'int32', 'float64', 'promoted' );
+// returns 'float64'
+```
+
+The function supports the following parameters:
+
+- **idtype1**: first input ndarray data type.
+- **idtype2**: second input ndarray data type.
+- **odtype**: output ndarray data type.
+- **policy**: input ndarray [casting policy][@stdlib/ndarray/input-casting-policies].
+
+If `policy` is a [data type][@stdlib/ndarray/dtypes], the function always returns the `policy` value (i.e., the fourth argument).
+
+```javascript
+var dt = binaryInputCastingDataType( 'float32', 'float32', 'float64', 'complex128' );
+// returns 'complex128'
+
+dt = binaryInputCastingDataType( 'int32', 'float64', 'float64', 'complex128' );
+// returns 'complex128'
+
+// ...
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var unzip = require( '@stdlib/utils/unzip' );
+var nCartesianProduct = require( '@stdlib/array/base/n-cartesian-product' );
+var dtypes = require( '@stdlib/ndarray/dtypes' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var inputCastingDataType = require( '@stdlib/ndarray/base/binary-input-casting-dtype' );
+
+// Get the list of real-valued data types:
+var dt = dtypes( 'real' );
+
+// Define a list of casting policies:
+var policies = [
+ 'none',
+ 'promoted',
+ 'accumulation',
+ 'output'
+];
+
+// Generate dtype-policy argument groups:
+var args = nCartesianProduct( dt, dt, policies );
+
+// Unzip the argument arrays:
+args = unzip( args );
+
+// Resolve casting data types:
+logEachMap( 'dtypes: (%10s, %10s). policy: %20s. result: %10s.', args[ 0 ], args[ 1 ], args[ 2 ], naryFunction( inputCastingDataType, 3 ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
+
+[@stdlib/ndarray/input-casting-policies]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/input-casting-policies
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/benchmark/benchmark.js
new file mode 100644
index 000000000000..ba0333dd08de
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/benchmark/benchmark.js
@@ -0,0 +1,160 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 bench = require( '@stdlib/bench' );
+var isDataType = require( '@stdlib/ndarray/base/assert/is-data-type' );
+var dtypes = require( '@stdlib/ndarray/dtypes' );
+var pkg = require( './../package.json' ).name;
+var resolve = require( './../lib' );
+
+
+// VARIABLES //
+
+var DTYPES = dtypes( 'numeric' );
+
+
+// MAIN //
+
+bench( pkg+':policy=none', function benchmark( b ) {
+ var out;
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ dt1 = DTYPES[ i%DTYPES.length ];
+ dt2 = DTYPES[ i%DTYPES.length ];
+ dt3 = DTYPES[ (i+1)%DTYPES.length ];
+ out = resolve( dt1, dt2, dt3, 'none' );
+ if ( typeof out !== 'string' ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isDataType( out ) ) {
+ b.fail( 'should return a data type' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+':policy=promoted', function benchmark( b ) {
+ var out;
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ dt1 = DTYPES[ i%DTYPES.length ];
+ dt2 = DTYPES[ i%DTYPES.length ];
+ dt3 = DTYPES[ (i+1)%DTYPES.length ];
+ out = resolve( dt1, dt2, dt3, 'promoted' );
+ if ( typeof out !== 'string' ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isDataType( out ) ) {
+ b.fail( 'should return a data type' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+':policy=accumulation', function benchmark( b ) {
+ var out;
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ dt1 = DTYPES[ i%DTYPES.length ];
+ dt2 = DTYPES[ i%DTYPES.length ];
+ dt3 = DTYPES[ (i+1)%DTYPES.length ];
+ out = resolve( dt1, dt2, dt3, 'accumulation' );
+ if ( typeof out !== 'string' ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isDataType( out ) ) {
+ b.fail( 'should return a data type' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+':policy=output', function benchmark( b ) {
+ var out;
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ dt1 = DTYPES[ i%DTYPES.length ];
+ dt2 = DTYPES[ i%DTYPES.length ];
+ dt3 = DTYPES[ (i+1)%DTYPES.length ];
+ out = resolve( dt1, dt2, dt3, 'output' );
+ if ( typeof out !== 'string' ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isDataType( out ) ) {
+ b.fail( 'should return a data type' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+':policy=', function benchmark( b ) {
+ var out;
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ dt1 = DTYPES[ i%DTYPES.length ];
+ dt2 = DTYPES[ i%DTYPES.length ];
+ dt3 = DTYPES[ (i+1)%DTYPES.length ];
+ out = resolve( dt1, dt2, dt3, 'int32' );
+ if ( typeof out !== 'string' ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isDataType( out ) ) {
+ b.fail( 'should return a data type' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/repl.txt
new file mode 100644
index 000000000000..9134f7ab17d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( idtype, odtype, policy )
+ Resolves the input ndarray casting data type for a binary function.
+
+ Parameters
+ ----------
+ idtype1: string
+ First input ndarray data type.
+
+ idtype2: string
+ Second input ndarray data type.
+
+ odtype: string
+ Output ndarray data type.
+
+ policy: string
+ Input ndarray casting data type policy. If `policy` is a data type, the
+ function returns the `policy` value.
+
+ Returns
+ -------
+ out: string
+ Input ndarray casting data type.
+
+ Examples
+ --------
+ > var out = {{alias}}( 'float64', 'float64', 'float64', 'none' )
+ 'float64'
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/index.d.ts
new file mode 100644
index 000000000000..b95837b02b3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/index.d.ts
@@ -0,0 +1,43 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { DataType, InputCastingPolicy } from '@stdlib/types/ndarray';
+
+/**
+* Resolves the input ndarray casting data type for a binary function.
+*
+* @param idtype1 - first input ndarray data type
+* @param idtype2 - second input ndarray data type
+* @param odtype - output ndarray data type
+* @param policy - input ndarray casting data type policy
+* @returns input ndarray casting data type
+*
+* @example
+* var dt = outputDataType( 'float64', 'float64', 'float64', 'none' );
+* // returns
+*/
+declare function outputDataType( idtype1: DataType, idtype2: DataType, odtype: DataType, policy: InputCastingPolicy | DataType ): DataType;
+
+
+// EXPORTS //
+
+export = outputDataType;
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/test.ts
new file mode 100644
index 000000000000..29c87a8cf5ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/docs/types/test.ts
@@ -0,0 +1,84 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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.
+*/
+
+import inputCastingDataType = require( './index' );
+
+
+// TESTS //
+
+// The function returns a data type...
+{
+ inputCastingDataType( 'float64', 'float64', 'float64', 'none' ); // $ExpectType DataType
+}
+
+// The compiler throws an error if not provided a first argument which is a data type...
+{
+ inputCastingDataType( '10', 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( true, 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( false, 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( null, 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( undefined, 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( [], 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( {}, 'float64', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( ( x: number ): number => x, 'float64', 'float64', 'none' ); // $ExpectError
+}
+
+// The compiler throws an error if not provided a second argument which is a data type...
+{
+ inputCastingDataType( 'float64', '10', 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', true, 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', false, 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', null, 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', undefined, 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', [], 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', {}, 'float64', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', ( x: number ): number => x, 'float64', 'none' ); // $ExpectError
+}
+
+// The compiler throws an error if not provided a third argument which is a data type...
+{
+ inputCastingDataType( 'float64', 'float64', '10', 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', true, 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', false, 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', null, 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', undefined, 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', [], 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', {}, 'none' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', ( x: number ): number => x, 'none' ); // $ExpectError
+}
+
+// The compiler throws an error if not provided a fourth argument which is either a data type or data type policy...
+{
+ inputCastingDataType( 'float64', 'float64', 'float64', '10' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', true ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', false ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', null ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', undefined ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', [] ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', {} ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ inputCastingDataType(); // $ExpectError
+ inputCastingDataType( 'float64' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64' ); // $ExpectError
+ inputCastingDataType( 'float64', 'float64', 'float64', 'none', 'foo' ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/examples/index.js
new file mode 100644
index 000000000000..9ec427341fa9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/examples/index.js
@@ -0,0 +1,46 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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';
+
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var unzip = require( '@stdlib/utils/unzip' );
+var nCartesianProduct = require( '@stdlib/array/base/n-cartesian-product' );
+var dtypes = require( '@stdlib/ndarray/dtypes' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var inputCastingDataType = require( './../lib' );
+
+// Get the list of real-valued data types:
+var dt = dtypes( 'real' );
+
+// Define a list of casting policies:
+var policies = [
+ 'none',
+ 'promoted',
+ 'accumulation',
+ 'output'
+];
+
+// Generate dtype-policy argument groups:
+var args = nCartesianProduct( dt, dt, dt, policies );
+
+// Unzip the argument arrays:
+args = unzip( args );
+
+// Resolve casting data types:
+logEachMap( 'dtypes: (%10s, %10s, %10s). policy: %20s. result: %10s.', args[ 0 ], args[ 1 ], args[ 2 ], args[ 3 ], naryFunction( inputCastingDataType, 4 ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/index.js
new file mode 100644
index 000000000000..669558b17fcd
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/index.js
@@ -0,0 +1,40 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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';
+
+/**
+* Resolve the input ndarray casting data type for a binary function.
+*
+* @module @stdlib/ndarray/base/binary-input-casting-dtype
+*
+* @example
+* var resolve = require( '@stdlib/ndarray/base/binary-input-casting-dtype' );
+*
+* var dt = resolve( 'float64', 'float64', 'float64', 'none' );
+* // returns
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/main.js
new file mode 100644
index 000000000000..6eeb7ce0c140
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/lib/main.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 id-length, function-paren-newline */
+
+'use strict';
+
+// MODULES //
+
+var isFloatingPointDataType = require( '@stdlib/ndarray/base/assert/is-floating-point-data-type' );
+var isSignedIntegerDataType = require( '@stdlib/ndarray/base/assert/is-signed-integer-data-type' );
+var isUnsignedIntegerDataType = require( '@stdlib/ndarray/base/assert/is-unsigned-integer-data-type' );
+var isDataType = require( '@stdlib/ndarray/base/assert/is-data-type' );
+var promotionRules = require( '@stdlib/ndarray/promotion-rules' );
+var defaults = require( '@stdlib/ndarray/defaults' );
+var format = require( '@stdlib/string/format' );
+
+
+// VARIABLES //
+
+var DEFAULT_SIGNED_INTEGER_DTYPE = defaults.get( 'dtypes.signed_integer' );
+var DEFAULT_UNSIGNED_INTEGER_DTYPE = defaults.get( 'dtypes.unsigned_integer' );
+var DEFAULT_REAL_FLOATING_POINT_DTYPE = defaults.get( 'dtypes.real_floating_point' );
+
+
+// MAIN //
+
+/**
+* Resolves the input ndarray casting data type for a binary function.
+*
+* @param {string} idtype1 - first input ndarray data type
+* @param {string} idtype2 - second input ndarray data type
+* @param {string} odtype - output ndarray data type
+* @param {string} policy - input ndarray data type casting policy
+* @throws {TypeError} fourth argument must be a recognized data type policy
+* @throws {Error} unexpected error
+* @returns {string} data type
+*
+* @example
+* var dt = resolve( 'float32', 'float32', 'float64', 'none' );
+* // returns
+*/
+function resolve( idtype1, idtype2, odtype, policy ) {
+ var dt;
+ if ( policy === 'none' ) {
+ if (idtype1 !== idtype2) {
+ throw new Error( format( 'Inputs must match under "none" policy. Got %s and %s.', idtype1, idtype2 ) );
+ }
+ return idtype1;
+ }
+ if ( policy === 'output' ) {
+ return odtype;
+ }
+ if ( policy === 'promoted' ) {
+ dt = promotionRules( idtype1, idtype2 );
+ if ( dt === -1 ) {
+ throw new Error( format( 'invalid operation. Unable to promote the first input and second input data types. First input data type: %s. Second input data type: %s.', idtype1, idtype2 ) );
+ }
+ dt = promotionRules( dt, odtype );
+ if ( dt === -1 ) {
+ throw new Error( format( 'invalid operation. Unable to promote the input and output data types. Input data type: %s. Output data type: %s.', dt, odtype ) );
+ }
+ return dt;
+ }
+ if ( policy === 'accumulation' ) {
+ if ( isFloatingPointDataType( idtype1 ) || isFloatingPointDataType( idtype2 ) || idtype1 === 'generic' || idtype2 === 'generic' ) { // NOTE: we may want to revisit this in the future for float16/complex32, where the value range is much more limited
+ return promotionRules(idtype1, idtype2);
+ }
+ // Unless the input data type value range is larger than the default un/signed integer data type, accumulate in the default un/signed integer data type, as accumulating in smaller range integer data types (e.g., `int8`) are at high risk for overflow, especially for ndarrays containing many elements...
+ if ( isUnsignedIntegerDataType( idtype1 ) && isUnsignedIntegerDataType( idtype2 ) ) { // eslint-disable-line max-len
+ return promotionRules(
+ promotionRules(idtype1, idtype2), DEFAULT_UNSIGNED_INTEGER_DTYPE
+ );
+ }
+ if ( isSignedIntegerDataType( idtype1 ) && isSignedIntegerDataType( idtype2 ) ) { // eslint-disable-line max-len
+ return promotionRules(
+ promotionRules(idtype1, idtype2), DEFAULT_SIGNED_INTEGER_DTYPE
+ );
+ }
+ // For all other input data types, accumulate in the default real-valued floating-point data type...
+ return DEFAULT_REAL_FLOATING_POINT_DTYPE;
+ }
+ // Check for an explicit data type...
+ if ( isDataType( policy ) ) {
+ return policy;
+ }
+ throw new TypeError( format( 'invalid argument. Fourth argument must be a supported casting policy. Value: `%s`.', policy ) );
+}
+
+
+// EXPORTS //
+
+module.exports = resolve;
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/package.json b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/package.json
new file mode 100644
index 000000000000..92a7051baffb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/package.json
@@ -0,0 +1,69 @@
+{
+ "name": "@stdlib/ndarray/base/binary-input-casting-dtype",
+ "version": "0.0.0",
+ "description": "Resolve the input ndarray casting data type for a binary function.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdtypes",
+ "types",
+ "ndarray",
+ "dtypes",
+ "dtype",
+ "data",
+ "multidimensional",
+ "array",
+ "utilities",
+ "utility",
+ "utils",
+ "util",
+ "resolve",
+ "casting"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/test/test.js b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/test/test.js
new file mode 100644
index 000000000000..4b3f0b20564a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/binary-input-casting-dtype/test/test.js
@@ -0,0 +1,357 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 tape = require( 'tape' );
+var resolve = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof resolve, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an unsupported/unrecognized casting policy', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'float',
+ 'cmplx',
+ 'beep',
+ 'boop',
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided '+values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ resolve( 'float64', 'float64', 'float64', value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided data types which do not promote when the casting policy is "promoted"', function test( t ) {
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ dt1 = [
+ 'binary',
+ 'bool',
+ 'int32',
+ 'uint32',
+ 'binary'
+ ];
+ dt2 = [
+ 'generic',
+ 'float32',
+ 'bool',
+ 'int8',
+ 'int32'
+ ];
+ dt3 = [
+ 'float32',
+ 'int16',
+ 'float64',
+ 'bool',
+ 'float64'
+ ];
+ for ( i = 0; i < dt1.length; i++ ) {
+ t.throws( badValue( dt1[ i ], dt2[ i ], dt3[ i ] ), Error, 'throws an error when provided '+dt1[ i ]+' and '+dt2[ i ]+' and '+dt3[ i ] );
+ }
+ t.end();
+
+ function badValue( v1, v2, v3 ) {
+ return function badValue() {
+ resolve( v1, v2, v3, 'promoted' );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided two diffrent data types when the casting policy is "none"', function test( t ) {
+ var dt1;
+ var dt2;
+ var dt3;
+ var i;
+
+ dt1 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'generic',
+ 'int8',
+ 'complex64'
+ ];
+ dt2 = [
+ 'float32',
+ 'float64',
+ 'uint16',
+ 'int32',
+ 'int8',
+ 'complex64',
+ 'generic'
+ ];
+ dt3 = [
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64'
+ ];
+ for ( i = 0; i < dt1.length; i++ ) {
+ t.throws( badValue( dt1[ i ], dt2[ i ], dt3[ i ] ), Error, 'throws an error when provided '+dt1[ i ]+' and '+dt2[ i ]+' and '+dt3[ i ] );
+ }
+ t.end();
+
+ function badValue( v1, v2, v3 ) {
+ return function badValue() {
+ resolve( v1, v2, v3, 'none' );
+ };
+ }
+});
+
+tape( 'the function resolves a casting data type (policy=none)', function test( t ) {
+ var expected;
+ var dt1;
+ var dt2;
+ var dt3;
+ var dt;
+ var i;
+
+ dt1 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'complex64'
+ ];
+ dt2 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'complex64'
+ ];
+ dt3 = [
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64'
+ ];
+
+ expected = dt1;
+ for ( i = 0; i < dt1.length; i++ ) {
+ dt = resolve( dt1[ i ], dt2[ i ], dt3[ i ], 'none' );
+ t.strictEqual( dt, expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function resolves a casting data type (policy=output)', function test( t ) {
+ var expected;
+ var dt1;
+ var dt2;
+ var dt3;
+ var dt;
+ var i;
+
+ dt1 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'complex64'
+ ];
+ dt2 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'complex64'
+ ];
+ dt3 = [
+ 'complex128',
+ 'float64',
+ 'uint32',
+ 'int16',
+ 'generic'
+ ];
+
+ expected = dt3;
+ for ( i = 0; i < dt1.length; i++ ) {
+ dt = resolve( dt1[ i ], dt2[ i ], dt3[ i ], 'output' );
+ t.strictEqual( dt, expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function resolves a casting data type (policy=promoted)', function test( t ) {
+ var expected;
+ var dt1;
+ var dt2;
+ var dt3;
+ var dt;
+ var i;
+
+ dt1 = [
+ 'float32',
+ 'int8',
+ 'uint16',
+ 'complex64',
+ 'complex64'
+ ];
+ dt2 = [
+ 'float64',
+ 'int16',
+ 'int32',
+ 'float64',
+ 'float64'
+ ];
+ dt3 = [
+ 'float32',
+ 'int8',
+ 'uint16',
+ 'complex64',
+ 'float32'
+ ];
+ expected = [
+ 'float64',
+ 'int16',
+ 'int32',
+ 'complex128',
+ 'complex128'
+ ];
+
+ for ( i = 0; i < dt1.length; i++ ) {
+ dt = resolve( dt1[ i ], dt2[ i ], dt3[ i ], 'promoted' );
+ t.strictEqual( dt, expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function resolves a casting data type (policy=accumulation)', function test( t ) {
+ var expected;
+ var dt1;
+ var dt2;
+ var dt3;
+ var dt;
+ var i;
+
+ dt1 = [
+ 'float16',
+ 'float32',
+ 'float32',
+ 'float64',
+ 'int16'
+ ];
+ dt2 = [
+ 'float16',
+ 'float64',
+ 'uint8c',
+ 'float64',
+ 'int32'
+ ];
+ dt3 = [
+ 'int8',
+ 'float64',
+ 'float16',
+ 'int16',
+ 'int32'
+ ];
+ expected = [
+ 'float16',
+ 'float64',
+ 'float32',
+ 'float64',
+ 'int32'
+ ];
+
+ for ( i = 0; i < dt1.length; i++ ) {
+ dt = resolve( dt1[ i ], dt2[ i ], dt3[ i ], 'accumulation' );
+ t.strictEqual( dt, expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function resolves a casting data type (policy=)', function test( t ) {
+ var expected;
+ var dt1;
+ var dt2;
+ var dt3;
+ var dt;
+ var i;
+
+ dt1 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'generic',
+ 'int8',
+ 'complex64'
+ ];
+ dt2 = [
+ 'float64',
+ 'float32',
+ 'int32',
+ 'uint16',
+ 'generic',
+ 'int8',
+ 'complex64'
+ ];
+ dt3 = [
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'float64',
+ 'int8'
+ ];
+
+ expected = dt3;
+ for ( i = 0; i < dt1.length; i++ ) {
+ dt = resolve( dt1[ i ], dt2[ i ], dt3[ i ], dt3[ i ] );
+ t.strictEqual( dt, expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});