Skip to content

feat: add ndarray/base/binary-input-casting-dtype #7904

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: develop
Choose a base branch
from
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -0,0 +1,150 @@
<!--

@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.

-->

# binaryInputCastingDataType

> Resolve the input ndarray casting [data type][@stdlib/ndarray/dtypes] for a binary function.

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="usage">

## 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'

// ...
```

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```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 ) );
```

</section>

<!-- /.examples -->

<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="references">

</section>

<!-- /.references -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[@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

</section>

<!-- /.links -->
Original file line number Diff line number Diff line change
@@ -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=<dtype>', 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();
});
Original file line number Diff line number Diff line change
@@ -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
--------

Original file line number Diff line number Diff line change
@@ -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

/// <reference types="@stdlib/types"/>

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 <string>
*/
declare function outputDataType( idtype1: DataType, idtype2: DataType, odtype: DataType, policy: InputCastingPolicy | DataType ): DataType;


// EXPORTS //

export = outputDataType;
Loading
Loading