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23 changes: 20 additions & 3 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/sfill-nan/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -50,8 +50,16 @@ var alpha = scalar2ndarray( 0.0, {
'dtype': 'float32'
});

sfillNaN( [ x, alpha ] );
// x => <ndarray>[ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ]
var start = scalar2ndarray( 0, {
'dtype': 'float32'
});

var end = scalar2ndarray( 3, {
'dtype': 'float32'
});

sfillNaN( [ x, alpha, start, end ] );
// x => <ndarray>[ 0.0, -2.0, 3.0, NaN, 4.0, -6.0 ]
```

The function has the following parameters:
Expand All @@ -60,6 +68,8 @@ The function has the following parameters:

- a one-dimensional input ndarray.
- a zero-dimensional ndarray containing the scalar constant.
- a zero-dimensional ndarray containing the starting index (inclusive).
- a zero-dimensional ndarray containing the ending index (exclusive).

</section>

Expand All @@ -70,6 +80,7 @@ The function has the following parameters:
## Notes

- The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
- If a specified `start` or `end` index is negative, the function resolves the respective index by counting backward from the last element (where `-1` refers to the last element).

</section>

Expand Down Expand Up @@ -98,7 +109,13 @@ console.log( ndarray2array( x ) );
var alpha = scalar2ndarray( 5.0, opts );
console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );

sfillNaN( [ x, alpha ] );
var start = scalar2ndarray( 2, opts );
console.log( 'Start Index: %d', ndarraylike2scalar( start ) );

var end = scalar2ndarray( 8, opts );
console.log( 'End Index: %d', ndarraylike2scalar( end ) );

sfillNaN( [ x, alpha, start, end ] );
console.log( ndarray2array( x ) );
```

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -63,10 +63,14 @@ function clbk( value, indices ) {
*/
function createBenchmark( len ) {
var alpha;
var start;
var end;
var x;

x = fillBy( zeros( [ len ], options ), clbk );
alpha = scalar2ndarray( 0.0, options );
start = scalar2ndarray( 0, options );
end = scalar2ndarray( len, options );
return benchmark;

/**
Expand All @@ -81,7 +85,7 @@ function createBenchmark( len ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = sfillNaN( [ x, alpha ] );
out = sfillNaN( [ x, alpha, start, end ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -6,13 +6,19 @@
The input ndarray is modified *in-place* (i.e., the input ndarray is
*mutated*).

If a specified `start` or `end` index is negative, the function resolves
the respective index by counting backward from the last element (where `-1`
refers to the last element).

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

- a one-dimensional input ndarray.
- a zero-dimensional ndarray containing the scalar constant.
- a zero-dimensional ndarray containing the starting index (inclusive).
- a zero-dimensional ndarray containing the ending index (exclusive).

Returns
-------
Expand All @@ -22,9 +28,12 @@
Examples
--------
> var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ NaN, -2.0, 3.0, NaN, 4.0, -6.0 ] );
> var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, { 'dtype': 'float32' } );
> {{alias}}( [ x, alpha ] )
<ndarray>[ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ]
> var opts = { 'dtype': 'float32' };
> var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, opts );
> var st = {{alias:@stdlib/ndarray/from-scalar}}( 0, opts );
> var en = {{alias:@stdlib/ndarray/from-scalar}}( 3, opts );
> {{alias}}( [ x, alpha, st, en ] )
<ndarray>[ 0.0, -2.0, 3.0, NaN, 4.0, -6.0 ]

See Also
--------
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,8 @@ import { float32ndarray, typedndarray } from '@stdlib/types/ndarray';
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray containing the scalar constant.
* - a zero-dimensional ndarray containing the starting index (inclusive).
* - a zero-dimensional ndarray containing the ending index (exclusive).
*
* @param arrays - array-like object containing ndarrays
* @returns input ndarray
Expand All @@ -45,10 +47,18 @@ import { float32ndarray, typedndarray } from '@stdlib/types/ndarray';
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ]
* var start = scalar2ndarray( 0, {
* 'dtype': 'float32'
* });
*
* var end = scalar2ndarray( 3, {
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha, start, end ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, NaN, 4.0, -6.0 ]
*/
declare function sfillNaN( arrays: [ float32ndarray, typedndarray<number> ] ): float32ndarray;
declare function sfillNaN( arrays: [ float32ndarray, typedndarray<number>, typedndarray<number>, typedndarray<number> ] ): float32ndarray;


// EXPORTS //
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -33,8 +33,14 @@ import sfillNaN = require( './index' );
const alpha = scalar2ndarray( 0.0, {
'dtype': 'float32'
});
const start = scalar2ndarray( 0, {
'dtype': 'float32'
});
const end = scalar2ndarray( 10, {
'dtype': 'float32'
});

sfillNaN( [ x, alpha ] ); // $ExpectType float32ndarray
sfillNaN( [ x, alpha, start, end ] ); // $ExpectType float32ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
Expand All @@ -58,7 +64,13 @@ import sfillNaN = require( './index' );
const alpha = scalar2ndarray( 0.0, {
'dtype': 'float32'
});
const start = scalar2ndarray( 0, {
'dtype': 'float32'
});
const end = scalar2ndarray( 10, {
'dtype': 'float32'
});

sfillNaN(); // $ExpectError
sfillNaN( [ x, alpha ], {} ); // $ExpectError
sfillNaN( [ x, alpha, start, end ], {} ); // $ExpectError
}
Original file line number Diff line number Diff line change
Expand Up @@ -34,5 +34,11 @@ console.log( ndarray2array( x ) );
var alpha = scalar2ndarray( 5.0, opts );
console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );

sfillNaN( [ x, alpha ] );
var start = scalar2ndarray( 2, opts );
console.log( 'Start Index: %d', ndarraylike2scalar( start ) );

var end = scalar2ndarray( 8, opts );
console.log( 'End Index: %d', ndarraylike2scalar( end ) );

sfillNaN( [ x, alpha, start, end ] );
console.log( ndarray2array( x ) );
Original file line number Diff line number Diff line change
Expand Up @@ -34,8 +34,16 @@
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ]
* var start = scalar2ndarray( 0, {
* 'dtype': 'float32'
* });
*
* var end = scalar2ndarray( 3, {
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha, start, end ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, NaN, 4.0, -6.0 ]
*/

// MODULES //
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
// MODULES //

var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var clipIndex = require( '@stdlib/ndarray/base/clip-index' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
Expand All @@ -39,6 +40,8 @@ var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray containing the scalar constant.
* - a zero-dimensional ndarray containing the starting index (inclusive).
* - a zero-dimensional ndarray containing the ending index (exclusive).
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {ndarray} input ndarray
Expand All @@ -53,16 +56,39 @@ var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ]
* var start = scalar2ndarray( 0, {
* 'dtype': 'float32'
* });
*
* var end = scalar2ndarray( 3, {
* 'dtype': 'float32'
* });
*
* var out = sfillNaN( [ x, alpha, start, end ] );
* // returns <ndarray>[ 0.0, -2.0, 3.0, NaN, 4.0, -6.0 ]
*/
function sfillNaN( arrays ) {
var stride;
var offset;
var alpha;
var start;
var end;
var N;
var x;

x = arrays[ 0 ];
alpha = ndarraylike2scalar( arrays[ 1 ] );
strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len

N = numelDimension( x, 0 );
start = clipIndex( ndarraylike2scalar( arrays[ 2 ] ), N );
end = clipIndex( ndarraylike2scalar( arrays[ 3 ] ), N );
if ( start >= end ) {
return x;
}
stride = getStride( x, 0 );
offset = getOffset( x ) + ( stride*start );

strided( end-start, alpha, getData( x ), stride, offset );
return x;
}

Expand Down
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