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feat: add accessor protocol and refactor stats/base/nanmskmax #6161

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feat: add accessor protocol and refactor stats/base/nanmskmax #6161

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fae5a4e
feat: add accessor protocol and refactor stats/base/nanmskmax
rahulptl165 Mar 18, 2025
644c8d4
refactor: refactored lib folder's file to align with existing style
rahulptl165 Apr 6, 2025
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75 changes: 28 additions & 47 deletions lib/node_modules/@stdlib/stats/base/nanmskmax/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -44,49 +44,43 @@ Computes the maximum value of a strided array `x` according to a `mask`, ignorin
var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];
var mask = [ 0, 0, 1, 0, 0 ];

var v = nanmskmax( x.length, x, 1, mask, 1 );
var v = nanmskmax( 5, x, 1, mask, 1 );
// returns 2.0
```

The function has the following parameters:

- **N**: number of indexed elements.
- **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
- **strideX**: index increment for `x`.
- **strideX**: stride length for `x`.
- **mask**: mask [`Array`][mdn-array] or [`typed array`][mdn-typed-array]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
- **strideMask**: index increment for `mask`.
- **strideMask**: stride length for `mask`.

The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the maximum value of every other element in `x`,
The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the maximum value of every other element in `x`,

```javascript
var floor = require( '@stdlib/math/base/special/floor' );

var x = [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, 5.0, 6.0 ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
var N = floor( x.length / 2 );
var x = [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, 5.0, 6.0, NaN, NaN ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1, 1, 1 ];

var v = nanmskmax( N, x, 2, mask, 2 );
var v = nanmskmax( 5, x, 2, mask, 2 );
// returns 4.0
```

Note that indexing is relative to the first index. To introduce offsets, use [`typed array`][mdn-typed-array] views.

<!-- eslint-disable stdlib/capitalized-comments -->
<!-- eslint-disable stdlib/capitalized-comments, max-len -->

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var Uint8Array = require( '@stdlib/array/uint8' );
var floor = require( '@stdlib/math/base/special/floor' );

var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] );
var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0, NaN, NaN ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1, 1, 1 ] );
var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var N = floor( x0.length / 2 );

var v = nanmskmax( N, x1, 2, mask1, 2 );
var v = nanmskmax( 5, x1, 2, mask1, 2 );
// returns 4.0
```

Expand All @@ -98,7 +92,7 @@ Computes the maximum value of a strided array according to a `mask`, ignoring `N
var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];
var mask = [ 0, 0, 1, 0, 0 ];

var v = nanmskmax.ndarray( x.length, x, 1, 0, mask, 1, 0 );
var v = nanmskmax.ndarray( 5, x, 1, 0, mask, 1, 0 );
// returns 2.0
```

Expand All @@ -107,16 +101,13 @@ The function has the following additional parameters:
- **offsetX**: starting index for `x`.
- **offsetMask**: starting index for `mask`.

While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the maximum value for every other value in `x` starting from the second value
While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on a starting indices. For example, to calculate the maximum value for every other value in `x` starting from the second value

```javascript
var floor = require( '@stdlib/math/base/special/floor' );

var x = [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
var N = floor( x.length / 2 );
var x = [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0, NaN, NaN ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1, 0, 0 ];

var v = nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 );
var v = nanmskmax.ndarray( 5, x, 2, 1, mask, 2, 1 );
// returns 4.0
```

Expand All @@ -130,6 +121,7 @@ var v = nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 );

- If `N <= 0`, both functions return `NaN`.
- Depending on the environment, the typed versions ([`dnanmskmax`][@stdlib/stats/base/dnanmskmax], [`snanmskmax`][@stdlib/stats/base/snanmskmax], etc.) are likely to be significantly more performant.
- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).

</section>

Expand All @@ -142,31 +134,18 @@ var v = nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 );
<!-- eslint no-undef: "error" -->

```javascript
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var Float64Array = require( '@stdlib/array/float64' );
var Uint8Array = require( '@stdlib/array/uint8' );
var uniform = require( '@stdlib/random/array/uniform' );
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var nanmskmax = require( '@stdlib/stats/base/nanmskmax' );

var mask;
var x;
var i;

x = new Float64Array( 10 );
mask = new Uint8Array( x.length );
for ( i = 0; i < x.length; i++ ) {
if ( randu() < 0.2 ) {
mask[ i ] = 1;
} else {
mask[ i ] = 0;
}
if ( randu() < 0.1 ) {
x[ i ] = NaN;
} else {
x[ i ] = round( (randu()*100.0) - 50.0 );
}
}
var x = uniform( 10, -50.0, 50.0, {
'dtype': 'float64'
});
console.log( x );

var mask = bernoulli( x.length, 0.2, {
'dtype': 'uint8'
});
console.log( mask );

var v = nanmskmax( x.length, x, 1, mask, 1 );
Expand Down Expand Up @@ -215,6 +194,8 @@ console.log( v );

[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax

[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor

<!-- </related-links> -->

</section>
Expand Down
28 changes: 12 additions & 16 deletions lib/node_modules/@stdlib/stats/base/nanmskmax/benchmark/benchmark.js
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Expand Up @@ -21,11 +21,19 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var pkg = require( './../package.json' ).name;
var nanmskmax = require( './../lib/nanmskmax.js' );
var nanmskmax = require( './../lib/main.js' );


// VARIABLES //

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


// FUNCTIONS //
Expand All @@ -38,20 +46,8 @@ var nanmskmax = require( './../lib/nanmskmax.js' );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var mask;
var x;
var i;

x = [];
mask = [];
for ( i = 0; i < len; i++ ) {
if ( randu() < 0.2 ) {
mask.push( 1 );
} else {
mask.push( 0 );
}
x.push( ( randu()*20.0 ) - 10.0 );
}
var mask = bernoulli( len, 0.2, options );
var x = uniform( len, -10.0, 10.0, options );
return benchmark;

function benchmark( b ) {
Expand Down
26 changes: 11 additions & 15 deletions lib/node_modules/@stdlib/stats/base/nanmskmax/benchmark/benchmark.ndarray.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,13 +21,21 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var pkg = require( './../package.json' ).name;
var nanmskmax = require( './../lib/ndarray.js' );


// VARIABLES //

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


// FUNCTIONS //

/**
Expand All @@ -38,20 +46,8 @@ var nanmskmax = require( './../lib/ndarray.js' );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var mask;
var x;
var i;

x = [];
mask = [];
for ( i = 0; i < len; i++ ) {
if ( randu() < 0.2 ) {
mask.push( 1 );
} else {
mask.push( 0 );
}
x.push( ( randu()*20.0 ) - 10.0 );
}
var mask = bernoulli( len, 0.2, options );
var x = uniform( len, -10.0, 10.0, options );
return benchmark;

function benchmark( b ) {
Expand Down
32 changes: 15 additions & 17 deletions lib/node_modules/@stdlib/stats/base/nanmskmax/docs/repl.txt
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Expand Up @@ -3,8 +3,8 @@
Computes the maximum value of a strided array according to a mask and
ignoring `NaN` values.

The `N` and `stride` parameters determine which elements are accessed at
runtime.
The `N` and stride parameters determine which elements in the strided arrays
are accessed at runtime.

Indexing is relative to the first index. To introduce offsets, use a typed
array views.
Expand All @@ -26,13 +26,13 @@
Input array.

strideX: integer
Index increment for `x`.
Stride length for `x`.

mask: Array<number>|TypedArray
Mask array.

strideMask: integer
Index increment for `mask`.
Stride length for `mask`.

Returns
-------
Expand All @@ -44,25 +44,24 @@
// Standard Usage:
> var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];
> var mask = [ 0, 0, 1, 0, 0 ];
> {{alias}}( x.length, x, 1, mask, 1 )
> {{alias}}( 5, x, 1, mask, 1 )
2.0

// Using `N` and `stride` parameters:
// Using `N` and stride parameters:
> x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, 4.0 ];
> mask = [ 0, 0, 0, 0, 0, 0, 1 ];
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> {{alias}}( N, x, 2, mask, 2 )
> {{alias}}( 3, x, 2, mask, 2 )
2.0

// Using view offsets:
> var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ] );
> var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
> var mask0 = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0, 0, 0, 1 ] );
> var mask1 = new {{alias:@stdlib/array/uint8}}( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 );
> N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
> {{alias}}( N, x1, 2, mask1, 2 )
> {{alias}}( 3, x1, 2, mask1, 2 )
2.0


{{alias}}.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )
Computes the maximum value of a strided array according to a mask,
ignoring `NaN` values and using alternative indexing semantics.
Expand All @@ -80,7 +79,7 @@
Input array.

strideX: integer
Index increment for `x`.
Stride length for `x`.

offsetX: integer
Starting index for `x`.
Expand All @@ -89,7 +88,7 @@
Mask array.

strideMask: integer
Index increment for `mask`.
Stride length for `mask`.

offsetMask: integer
Starting index for `mask`.
Expand All @@ -104,14 +103,13 @@
// Standard Usage:
> var x = [ 1.0, -2.0, 2.0, 4.0, NaN ];
> var mask = [ 0, 0, 0, 1, 0 ];
> {{alias}}.ndarray( x.length, x, 1, 0, mask, 1, 0 )
> {{alias}}.ndarray( 5, x, 1, 0, mask, 1, 0 )
2.0

// Using offset parameter:
> x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ];
> mask = [ 0, 0, 0, 0, 0, 0, 1 ];
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> {{alias}}.ndarray( N, x, 2, 1, mask, 2, 1 )
> x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0, NaN, NaN ];
> mask = [ 0, 0, 0, 0, 0, 0, 1, 1, 1 ];
> {{alias}}.ndarray( 4, x, 2, 1, mask, 2, 1 )
2.0

See Also
Expand Down
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