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# dapx

> Add a scalar constant to each element in a double-precision floating-point ndarray.
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Suggested change
> Add a scalar constant to each element in a double-precision floating-point ndarray.
> Add a scalar constant to each element in a one-dimensional double-precision floating-point ndarray.

Applies here and throughout this PR.


<section class="usage">

## Usage

```javascript
var dapx = require( '@stdlib/blas/ext/base/ndarray/dapx' );
```

#### dapx( x, alpha )
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This isn't correct. You need to study https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dcusum. alpha should be a zero-dimensional ndarray and there should be only a single argument arrays containing two arrays: the input ndarray and the zero-dimensional ndarray corresponding to alpha.

This comment applies to your other PRs for *apx.


Adds a scalar constant to each element in a double-precision floating-point ndarray.

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );

var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var out = dapx( x, 5.0 );
// returns <ndarray>[ 6.0, 7.0, 8.0, 9.0 ]
```

The function has the following parameters:

- **x**: input ndarray.
- **alpha**: scalar constant.

Note that indexing is relative to the first index. To introduce an offset, use [`ndarray`][@stdlib/ndarray/ctor] view creation.

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );

// Initial array:
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );

// Create an ndarray view:
var x = new ndarray( 'float64', xbuf, [ 3 ], [ 1 ], 2, 'row-major' );

var out = dapx( x, 5.0 );
// returns <ndarray>[ 8.0, 9.0, 10.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The function **mutates** the input ndarray.

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## Notes
- The function **mutates** the input ndarray.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var dapx = require( '@stdlib/blas/ext/base/ndarray/dapx' );

var xbuf = discreteUniform( 10, 0, 100, {
'dtype': 'float64'
});
var x = new ndarray( 'float64', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );

console.log( x.data );
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Study other packages. Use ndarray2array.


dapx( x, 5.0 );

console.log( x.data );
```

</section>

<!-- /.examples -->

<!-- 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/ctor]: https://github.com/stdlib-js/ndarray-ctor

</section>

<!-- /.links -->
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/**
* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
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It is not clear to me why you are using a single-precision assertion package here.

var pow = require( '@stdlib/math/base/special/pow' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var pkg = require( './../package.json' ).name;
var dapx = require( './../lib' );


// FUNCTIONS //
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Suggested change
// FUNCTIONS //
// VARIABLES //
var options = {
'dtype': 'float64'
};
// FUNCTIONS //

Prefer parameterization to limit copy-paste mistakes in other packages. This is one reason to first do one package (e.g., dapx) before moving on to other packages (e.g., sapx, gapx), as it reduces the number of changes you need to make. Currently, you are having to replicate changes.


/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x;

x = new ndarray( 'float64', discreteUniform( len, -100, 100, {
'dtype': 'float64'
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}), [ len ], [ 1 ], 0, 'row-major' );

return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var z;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
z = dapx( x, 5.0 );
if ( isnanf( z.data[ i % len ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnanf( z.data[ i % len ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
var len;
var min;
var max;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( pkg+':len='+len, f );

Check warning on line 97 in lib/node_modules/@stdlib/blas/ext/base/ndarray/dapx/benchmark/benchmark.js

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}
}

main();
27 changes: 27 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/dapx/docs/repl.txt
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{{alias}}( x, alpha )
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Missing empty line. Study other packages.

Adds a scalar constant to each element in a double-precision floating-
point ndarray.

Parameters
----------
x: float64ndarray
Input ndarray.

alpha: number
Scalar constant.

Returns
-------
out: float64ndarray
Input ndarray.

Examples
--------
> var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> var x = {{alias:@stdlib/ndarray/ctor}}( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
> {{alias}}( x, 5.0 )
<ndarray>[ 6.0, 7.0, 8.0, 9.0 ]

See Also
--------

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/*
* @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 { float64ndarray } from '@stdlib/types/ndarray';

/**
* Adds a scalar constant to each element in a double-precision floating-point ndarray.
*
* @param x - input ndarray
* @param alpha - scalar constant
* @returns input ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
*
* var out = dapx( x, 5.0 );
* // returns <ndarray>[ 6.0, 7.0, 8.0, 9.0 ]
*/
declare function dapx( x: float64ndarray, alpha: number ): float64ndarray;


// EXPORTS //

export = dapx;
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/*
* @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 dapx = require( './index' );


// TESTS //

// The function returns an ndarray...
{
const x: any = null;
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This is very clearly not what we want to do.

dapx( x, 5.0 ); // $ExpectType float64ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an ndarray...
{
dapx( 123, 5.0 ); // $ExpectError
dapx( true, 5.0 ); // $ExpectError
dapx( false, 5.0 ); // $ExpectError
dapx( null, 5.0 ); // $ExpectError
dapx( undefined, 5.0 ); // $ExpectError
dapx( '5', 5.0 ); // $ExpectError
dapx( [ '1', '2' ], 5.0 ); // $ExpectError
dapx( {}, 5.0 ); // $ExpectError
dapx( ( x: number ): number => x, 5.0 ); // $ExpectError
}

// The compiler throws an error if the function is provided a second argument which is not a number...
{
const x: any = null;
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Same comment.

dapx( x, '5' ); // $ExpectError
dapx( x, true ); // $ExpectError
dapx( x, false ); // $ExpectError
dapx( x, null ); // $ExpectError
dapx( x, undefined ); // $ExpectError
dapx( x, [ '1' ] ); // $ExpectError
dapx( x, {} ); // $ExpectError
dapx( x, ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x: any = null;
dapx(); // $ExpectError
dapx( x ); // $ExpectError
dapx( x, 5.0, 10 ); // $ExpectError
}
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