feat: add C implementation for `blas/ext/base/ndarray/swhere` by yb175 · Pull Request #16017 · stdlib-js/stdlib

yb175 · 2026-10-09T20:00:00Z

Resolves a part of #14819

Description

What is the purpose of this pull request?

This pull request:

Adds a native C ndarray implementation for swhere, using the existing strided C routine.
Adds the Node.js addon and uses the native implementation when available, with the JavaScript implementation as a fallback.
Adds native tests, benchmarks, a C example, and C API documentation.

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

[RFC]: add C implementations for blas/ext/base/ndarray packages #14819

Questions

Any questions for reviewers of this pull request?

No.

Other

Any other information relevant to this pull request? This may include screenshots, references, and/or implementation notes.

No.

Checklist

Please ensure the following tasks are completed before submitting this pull request.

Read, understood, and followed the contributing guidelines.

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Code generation (e.g., when writing an implementation or fixing a bug)
Test/benchmark generation
Documentation (including examples)
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If you answered "yes" to using AI assistance, please provide a short disclosure indicating how you used AI assistance. This helps reviewers determine how much scrutiny to apply when reviewing your contribution. Example disclosures: "This PR was written primarily by Claude Code." or "I consulted ChatGPT to understand the codebase, but the proposed changes were fully authored manually by myself.".

used AI for analyzing pattern of recently merged PRs and test and benchmarking generation.

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stdlib-bot · 2026-10-09T20:02:40Z

Coverage Report

Package	Statements	Branches	Functions	Lines
blas/ext/base/ndarray/swhere	$\\color{green}208/208$ $\\color{green}+0.00\\%$	$\\color{green}7/7$ $\\color{green}+0.00\\%$	$\\color{green}2/2$ $\\color{green}+0.00\\%$	$\\color{green}208/208$ $\\color{green}+0.00\\%$

The above coverage report was generated for the changes in this PR.

ujjwalv01

Thanks for working on this! The approach for passing the boolean condition to C looks good. I've left a few line-wise suggestions to match the conventions used in the other blas/ext/base/ndarray add-ons (e.g., dxpy). Mind making these changes?

ujjwalv01 · 2026-10-10T16:30:22Z

+* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.
+*
+* @param arrays    list containing a condition, two input ndarrays, and an output ndarray


Suggested change

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.

*

* @param arrays list containing a condition, two input ndarrays, and an output ndarray

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.

*

* ## Notes

*

* - The function expects the following ndarrays:

*

* - a one-dimensional condition ndarray.

* - first one-dimensional input ndarray.

* - second one-dimensional input ndarray.

* - a one-dimensional output ndarray.

*

* @param arrays list containing ndarrays

The description should match lib/main.js verbatim, and the Notes list matches other add-ons (e.g., blas/ext/base/ndarray/dxpy).

ujjwalv01 · 2026-10-10T16:31:03Z

+	const struct ndarray *condition = arrays[ 0 ];
+	const struct ndarray *x = arrays[ 1 ];
+	const struct ndarray *y = arrays[ 2 ];
+	const struct ndarray *out = arrays[ 3 ];
+
+	API_SUFFIX(stdlib_strided_swhere_ndarray)(
+		stdlib_ndarray_dimension( condition, 0 ),
+		(const bool *)stdlib_ndarray_data( condition ),
+		stdlib_ndarray_stride_elements( condition, 0 ),
+		stdlib_ndarray_offset_elements( condition ),
+		(const float *)stdlib_ndarray_data( x ),
+		stdlib_ndarray_stride_elements( x, 0 ),
+		stdlib_ndarray_offset_elements( x ),
+		(const float *)stdlib_ndarray_data( y ),
+		stdlib_ndarray_stride_elements( y, 0 ),
+		stdlib_ndarray_offset_elements( y ),
+		(float *)stdlib_ndarray_data( out ),
+		stdlib_ndarray_stride_elements( out, 0 ),
+		stdlib_ndarray_offset_elements( out )
+	);


Suggested change

const struct ndarray *condition = arrays[ 0 ];

const struct ndarray *x = arrays[ 1 ];

const struct ndarray *y = arrays[ 2 ];

const struct ndarray *out = arrays[ 3 ];

API_SUFFIX(stdlib_strided_swhere_ndarray)(

stdlib_ndarray_dimension( condition, 0 ),

(const bool *)stdlib_ndarray_data( condition ),

stdlib_ndarray_stride_elements( condition, 0 ),

stdlib_ndarray_offset_elements( condition ),

(const float *)stdlib_ndarray_data( x ),

stdlib_ndarray_stride_elements( x, 0 ),

stdlib_ndarray_offset_elements( x ),

(const float *)stdlib_ndarray_data( y ),

stdlib_ndarray_stride_elements( y, 0 ),

stdlib_ndarray_offset_elements( y ),

(float *)stdlib_ndarray_data( out ),

stdlib_ndarray_stride_elements( out, 0 ),

stdlib_ndarray_offset_elements( out )

);

const struct ndarray *condition = arrays[ 0 ];

const struct ndarray *x = arrays[ 1 ];

const struct ndarray *y = arrays[ 2 ];

const struct ndarray *out = arrays[ 3 ];

const CBLAS_INT N = stdlib_ndarray_dimension( condition, 0 );

const CBLAS_INT strideC = stdlib_ndarray_stride_elements( condition, 0 );

const CBLAS_INT offsetC = stdlib_ndarray_offset_elements( condition );

const CBLAS_INT strideX = stdlib_ndarray_stride_elements( x, 0 );

const CBLAS_INT offsetX = stdlib_ndarray_offset_elements( x );

const CBLAS_INT strideY = stdlib_ndarray_stride_elements( y, 0 );

const CBLAS_INT offsetY = stdlib_ndarray_offset_elements( y );

const CBLAS_INT strideOut = stdlib_ndarray_stride_elements( out, 0 );

const CBLAS_INT offsetOut = stdlib_ndarray_offset_elements( out );

const bool *dataC = (const bool *)stdlib_ndarray_data( condition );

const float *dataX = (const float *)stdlib_ndarray_data( x );

const float *dataY = (const float *)stdlib_ndarray_data( y );

float *dataOut = (float *)stdlib_ndarray_data( out );

API_SUFFIX(stdlib_strided_swhere_ndarray)( N, dataC, strideC, offsetC, dataX, strideX, offsetX, dataY, strideY, offsetY, dataOut, strideOut, offsetOut );

Same layout as blas/ext/base/ndarray/dxpy/src/main.c.

ujjwalv01 · 2026-10-10T16:31:36Z

+#endif
+
+/**
+* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.


Suggested change

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.

ujjwalv01 · 2026-10-10T16:32:22Z

+* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.
+*
+* @private
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} output ndarray


Suggested change

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.

*

* @private

* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays

* @returns {ndarray} output ndarray

* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.

*

* ## Notes

*

* - The function expects the following ndarrays:

*

* - a one-dimensional condition ndarray.

* - first one-dimensional input ndarray.

* - second one-dimensional input ndarray.

* - a one-dimensional output ndarray.

*

* @private

* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays

* @returns {ndarray} output ndarray

*

* @example

* var BooleanVector = require( '@stdlib/ndarray/vector/bool' );

* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );

*

* var condition = new BooleanVector( [ true, false, true, false, true ] );

* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );

* var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );

* var out = new Float32Vector( 5 );

*

* var v = swhere( [ condition, x, y, out ] );

* // returns <ndarray>[ 1.0, 7.0, 3.0, 9.0, 5.0 ]

Notes and example copied from lib/main.js, as in blas/ext/base/ndarray/dxpy/lib/native.js.

ujjwalv01 · 2026-10-10T16:32:47Z

 <!-- /.examples -->

+<section class="c">


Suggested change



<section class="c">





* * *

<section class="c">

ujjwalv01 · 2026-10-10T16:33:11Z

+
+```c
+const struct ndarray *arrays[] = { condition, x, y, out };
+stdlib_blas_ext_swhere( arrays );


Suggested change

stdlib_blas_ext_swhere( arrays );

#include "stdlib/ndarray/ctor.h"

#include "stdlib/ndarray/dtypes.h"

#include "stdlib/ndarray/index_modes.h"

#include "stdlib/ndarray/orders.h"

#include "stdlib/ndarray/base/bytes_per_element.h"

#include <stdbool.h>

#include <stdint.h>

// Create ndarrays:

const bool dataC[] = { true, false, true, false, true };

const float dataX[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f };

const float dataY[] = { 6.0f, 7.0f, 8.0f, 9.0f, 10.0f };

float dataOut[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };

int64_t shape[] = { 5 };

int64_t cstrides[] = { STDLIB_NDARRAY_BOOL_BYTES_PER_ELEMENT };

int64_t strides[] = { STDLIB_NDARRAY_FLOAT32_BYTES_PER_ELEMENT };

int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };

struct ndarray *condition = stdlib_ndarray_allocate( STDLIB_NDARRAY_BOOL, (uint8_t *)dataC, 1, shape, cstrides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );

struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataX, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );

struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataY, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );

struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataOut, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );

// Perform computation:

const struct ndarray *arrays[] = { condition, x, y, out };

stdlib_blas_ext_swhere( arrays );

// Free allocated memory:

stdlib_ndarray_free( condition );

stdlib_ndarray_free( x );

stdlib_ndarray_free( y );

stdlib_ndarray_free( out );

The usage block should show a full example, as in blas/ext/base/ndarray/dxpy/README.md.

ujjwalv01 · 2026-10-10T16:33:30Z

+The function accepts the following argument:
+
+-   **arrays**: `[in] struct ndarray**` list containing a one-dimensional boolean condition ndarray, two one-dimensional single-precision floating-point input ndarrays, and a one-dimensional single-precision floating-point output ndarray.


Suggested change

The function accepts the following argument:

- **arrays**: `[in] struct ndarray**` list containing a one-dimensional boolean condition ndarray, two one-dimensional single-precision floating-point input ndarrays, and a one-dimensional single-precision floating-point output ndarray.

The function accepts the following arguments:

- **arrays**: `[in] struct ndarray**` list containing the following ndarrays:

- `[in] struct ndarray*` a one-dimensional condition ndarray.

- `[in] struct ndarray*` first one-dimensional input ndarray.

- `[in] struct ndarray*` second one-dimensional input ndarray.

- `[out] struct ndarray*` a one-dimensional output ndarray.

ujjwalv01 · 2026-10-10T16:33:52Z

+
+<section class="examples">
+
+### Examples


The C Examples section is empty. It should contain the code from examples/c/example.c (minus the // cppcheck-suppress lines), as in blas/ext/base/ndarray/dxpy/README.md.

ujjwalv01 · 2026-10-10T16:34:08Z

Mind restructuring this to match the other add-on examples (e.g., blas/ext/base/ndarray/dxpy/examples/c/example.c): one commented step per setting (ndims, shape, strides, offset, order, index mode), // cppcheck-suppress invalidPointerCast on its own line above each stdlib_ndarray_allocate, and exit( 1 ) on allocation failure instead of freeing and returning.

ujjwalv01 · 2026-10-10T16:34:45Z

Same here: mind following the structure of blas/ext/base/ndarray/swax/benchmark/c/benchmark.length.c: variables declared at the top, random_uniform, the should not return NaN checks, and no goto?

ujjwalv01 · 2026-10-10T16:35:26Z

test/test.js should only contain the main-export and native/JS selection tests (see blas/ext/base/ndarray/dxpy/test/test.js). The remaining tests (arity, condition selection, strides, offsets, empty ndarrays) already live in test.main.js and test.native.js, so mind removing them from here?

ujjwalv01 · 2026-10-10T16:36:05Z

+	cbuf = new BooleanArray( [ false, true, false, true, false, false ] );
+	xbuf = new Float32Array( [ 1.0, 100.0, 2.0, 100.0, 3.0, 100.0, 4.0 ] );
+	ybuf = new Float32Array( [ 40.0, 30.0, 20.0, 10.0 ] );
+	obuf = new Float32Array( 12 );


Suggested change

obuf = new Float32Array( 12 );

obuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

The moved tests should stay the same as test/test.js on develop, with only the require changed. The comment edits in this test (// cbuf[4] = false => y[3] → // false => y[3]) should be reverted as well. Same in test.native.js.

yb175 · 2026-10-10T19:37:19Z

Thanks @ujjwalv01 for reviewing the PR , I have addressed the requested changes
do lemme know if anything else needed from my side 😊

ujjwalv01 · 2026-10-10T20:25:21Z

+*/
+static void print_summary( int total, int passing ) {
+	printf( "#\n" );
+	printf( "1..%d\n", total );


Suggested change

printf( "1..%d\n", total );

printf( "1..%d\n", total ); // TAP plan

Keep the shared boilerplate unchanged.

ujjwalv01 · 2026-10-10T20:25:22Z

+}
+
+/**
+* Prints benchmark results.


Suggested change

* Prints benchmark results.

* Prints benchmarks results.

ujjwalv01 · 2026-10-10T20:25:35Z

+	t.strictEqual( swhere( [ c, x, y, out ] ), out, 'returns the output ndarray' );
+	t.strictEqual( isSameFloat32Array( obuf, new Float32Array( [ 1, 5, 3 ] ) ), true, 'selects the expected values' );
+	t.end();
+});


Suggested change

});

test.native.js should mirror test/test.js on develop (only the native wiring changes), so mind removing this extra test L394 - L415 ?

ujjwalv01 · 2026-10-10T20:25:43Z

+var tape = require( 'tape' );
+var isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' );
+var Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );


Suggested change

var Uint8Array = require( '@stdlib/array/uint8' );

Not needed once the extra test is removed.

ujjwalv01 · 2026-10-10T20:25:55Z

+
+## C APIs
+
+<section class="intro">


Suggested change

<section class="intro">



<section class="intro">

Keep the standard comments, as in dxpy.

ujjwalv01 · 2026-10-10T20:25:59Z

+
+<!-- /.intro -->
+
+<section class="usage">


Suggested change

<section class="usage">



<section class="usage">

ujjwalv01 · 2026-10-10T20:26:09Z

+
+<!-- /.usage -->
+
+<section class="notes">


Suggested change

<section class="notes">



<section class="notes">

ujjwalv01 · 2026-10-10T20:26:12Z

+
+<!-- /.notes -->
+
+<section class="examples">


Suggested change

<section class="examples">



<section class="examples">

ujjwalv01 · 2026-10-10T20:27:11Z

Thanks for the updates, looks much better! A few small leftovers. Mind making these?

yb175 · 2026-10-11T06:04:44Z

Thanks for the updates, looks much better! A few small leftovers. Mind making these?

addressed the remaining comments.

feat: add C implementation for blas/ext/base/ndarray/swhere

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yb175 requested a review from a team October 9, 2026 20:00

stdlib-bot added BLAS Issue or pull request related to Basic Linear Algebra Subprograms (BLAS). Needs Review A pull request which needs code review. labels Oct 9, 2026

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yb175 added 2 commits October 10, 2026 19:22

fix: address review feedback

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fix: use spaces in README C example

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ujjwalv01 added Feature Issue or pull request for adding a new feature. Needs Review A pull request which needs code review. C Issue involves or relates to C. and removed Needs Changes Pull request which needs changes before being merged. labels Oct 11, 2026

ujjwalv01 approved these changes Oct 11, 2026

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-* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.
-*
-* @param arrays    list containing a condition, two input ndarrays, and an output ndarray
+* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional condition ndarray.
+*     -   first one-dimensional input ndarray.
+*     -   second one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*
+* @param arrays    list containing ndarrays

	* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition and assigns them to an output ndarray.
	* Takes elements from one of two one-dimensional single-precision floating-point ndarrays depending on a condition.

-stdlib_blas_ext_swhere( arrays );
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/dtypes.h"
+#include "stdlib/ndarray/index_modes.h"
+#include "stdlib/ndarray/orders.h"
+#include "stdlib/ndarray/base/bytes_per_element.h"
+#include <stdbool.h>
+#include <stdint.h>
+// Create ndarrays:
+const bool dataC[] = { true, false, true, false, true };
+const float dataX[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f };
+const float dataY[] = { 6.0f, 7.0f, 8.0f, 9.0f, 10.0f };
+float dataOut[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };
+int64_t shape[] = { 5 };
+int64_t cstrides[] = { STDLIB_NDARRAY_BOOL_BYTES_PER_ELEMENT };
+int64_t strides[] = { STDLIB_NDARRAY_FLOAT32_BYTES_PER_ELEMENT };
+int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+struct ndarray *condition = stdlib_ndarray_allocate( STDLIB_NDARRAY_BOOL, (uint8_t *)dataC, 1, shape, cstrides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataX, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataY, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataOut, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+// Perform computation:
+const struct ndarray *arrays[] = { condition, x, y, out };
+stdlib_blas_ext_swhere( arrays );
+// Free allocated memory:
+stdlib_ndarray_free( condition );
+stdlib_ndarray_free( x );
+stdlib_ndarray_free( y );
+stdlib_ndarray_free( out );

		The function accepts the following argument:

		- arrays: `[in] struct ndarray**` list containing a one-dimensional boolean condition ndarray, two one-dimensional single-precision floating-point input ndarrays, and a one-dimensional single-precision floating-point output ndarray.

-The function accepts the following argument:
--   **arrays**: `[in] struct ndarray**` list containing a one-dimensional boolean condition ndarray, two one-dimensional single-precision floating-point input ndarrays, and a one-dimensional single-precision floating-point output ndarray.
+The function accepts the following arguments:
+-   **arrays**: `[in] struct ndarray**` list containing the following ndarrays:
+    -   `[in] struct ndarray*` a one-dimensional condition ndarray.
+    -   `[in] struct ndarray*` first one-dimensional input ndarray.
+    -   `[in] struct ndarray*` second one-dimensional input ndarray.
+    -   `[out] struct ndarray*` a one-dimensional output ndarray.

	obuf = new Float32Array( 12 );
	obuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

	printf( "1..%d\n", total );
	printf( "1..%d\n", total ); // TAP plan

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yb175 commented Oct 9, 2026

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