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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.

-->

# cindexOfFalsy

> Return the index of the first falsy element in a one-dimensional single-precision complex floating-point ndarray.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var cindexOfFalsy = require( '@stdlib/blas/ext/base/ndarray/cindex-of-falsy' );
```

#### cindexOfFalsy( arrays )

Returns the index of the first falsy element in a one-dimensional single-precision complex floating-point ndarray.

```javascript
var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );

var x = new Complex64Vector( [ 1.0, 2.0, 0.0, 0.0, 3.0, 0.0, 2.0, 0.0 ] );

var idx = cindexOfFalsy( [ x ] );
// returns 1
```

The function has the following parameters:

- **arrays**: array-like object containing a one-dimensional input ndarray.

If the function is unable to find a falsy element, the function returns `-1`.

```javascript
var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );

var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );

var idx = cindexOfFalsy( [ x ] );
// returns -1
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- A complex number is falsy when its real and imaginary components are both falsy.
- The function explicitly treats `NaN` values as falsy.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var cindexOfFalsy = require( '@stdlib/blas/ext/base/ndarray/cindex-of-falsy' );

var opts = {
'dtype': 'float32'
};

var x = new Complex64Vector( bernoulli( 20, 0.7, opts ) );
console.log( ndarray2array( x ) );

var idx = cindexOfFalsy( [ x ] );
console.log( idx );
```

</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">

</section>

<!-- /.links -->
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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 bench = require( '@stdlib/bench' );
var ones = require( '@stdlib/ndarray/ones' );
var isInteger = require( '@stdlib/assert/is-integer' ).isPrimitive;
var pow = require( '@stdlib/math/base/special/pow' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var cindexOfFalsy = require( './../lib' );


// VARIABLES //

var options = {
'dtype': 'complex64'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = ones( [ len ], options );
return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = cindexOfFalsy( [ x ] );
if ( out !== out ) {
b.fail( 'should return an integer' );
}
}
b.toc();
if ( !isInteger( out ) ) {
b.fail( 'should return an integer' );
}
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( format( '%s:len=%d', pkg, len ), f );
}
}

main();
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{{alias}}( arrays )
Returns the index of the first falsy element in a one-dimensional single-
precision complex floating-point ndarray.

A complex number is falsy when its real and imaginary components are both
falsy.

The function explicitly treats `NaN` values as falsy.

If unable to find a falsy element, the function returns `-1`.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing the following ndarrays:

- a one-dimensional input ndarray.

Returns
-------
out: integer
Index.

Examples
--------
> var x = new {{alias:@stdlib/ndarray/vector/complex64}}( [ 1.0, 2.0, 0.0, 0.0, 3.0, 0.0 ] );
> {{alias}}( [ x ] )
1

See Also
--------
Original file line number Diff line number Diff line change
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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.
*/

// TypeScript Version: 4.1

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

import { complex64ndarray } from '@stdlib/types/ndarray';

/**
* Returns the index of the first falsy element in a one-dimensional single-precision complex floating-point ndarray.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
*
* @param arrays - array-like object containing ndarrays
* @returns index
*
* @example
* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
*
* var x = new Complex64Vector( [ 1.0, 2.0, 0.0, 0.0, 3.0, 0.0, 2.0, 0.0 ] );
*
* var v = cindexOfFalsy( [ x ] );
* // returns 1
*/
declare function cindexOfFalsy( arrays: [ complex64ndarray ] ): number;


// EXPORTS //

export = cindexOfFalsy;
Original file line number Diff line number Diff line change
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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 space-in-parens */

import zeros = require( '@stdlib/ndarray/zeros' );
import cindexOfFalsy = require( './index' );


// TESTS //

// The function returns a number...
{
const x = zeros( [ 10 ], {
'dtype': 'complex64'
});

cindexOfFalsy( [ x ] ); // $ExpectType number
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
{
cindexOfFalsy( '10' ); // $ExpectError
cindexOfFalsy( 10 ); // $ExpectError
cindexOfFalsy( true ); // $ExpectError
cindexOfFalsy( false ); // $ExpectError
cindexOfFalsy( null ); // $ExpectError
cindexOfFalsy( undefined ); // $ExpectError
cindexOfFalsy( [] ); // $ExpectError
cindexOfFalsy( {} ); // $ExpectError
cindexOfFalsy( ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x = zeros( [ 10 ], {
'dtype': 'complex64'
});

cindexOfFalsy(); // $ExpectError
cindexOfFalsy( [ x ], {} ); // $ExpectError
}
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