-
-
Notifications
You must be signed in to change notification settings - Fork 1.2k
feat: add blas/ext/base/dcartesian-product
#10799
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Open
headlessNode
wants to merge
13
commits into
stdlib-js:develop
Choose a base branch
from
headlessNode:dcarte-pd
base: develop
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Changes from all commits
Commits
Show all changes
13 commits
Select commit
Hold shift + click to select a range
3d42832
feat: add blas/ext/base/dcartesian-product
headlessNode 17f3380
fix: lint error
headlessNode 7051b20
fix: lint errors
headlessNode 3c2aea6
test: add missing test files
headlessNode 4de2981
fix: apply suggestions from code review
headlessNode 3cba784
fix: apply suggestions from code review
headlessNode fca1b79
fix: apply suggestions from code review
headlessNode b76249d
fix: apply suggestions from code review
headlessNode 5d940dc
refactor: apply suggestions from code review
headlessNode d04e699
fix: apply suggestions from code review
headlessNode d6a6a5e
fix: update test.ts
headlessNode b16ba6e
Merge branch 'develop' into dcarte-pd
headlessNode 6cfeb3a
Merge branch 'develop' into dcarte-pd
headlessNode File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
357 changes: 357 additions & 0 deletions
357
lib/node_modules/@stdlib/blas/ext/base/dcartesian-product/README.md
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,357 @@ | ||
| <!-- | ||
|
|
||
| @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. | ||
|
|
||
| --> | ||
|
|
||
| # dcartesianProduct | ||
|
|
||
| > Compute the Cartesian product for two double-precision floating-point strided arrays. | ||
|
|
||
| <section class="usage"> | ||
|
|
||
| ## Usage | ||
|
|
||
| ```javascript | ||
| var dcartesianProduct = require( '@stdlib/blas/ext/base/dcartesian-product' ); | ||
| ``` | ||
|
|
||
| #### dcartesianProduct( order, M, N, x, strideX, y, strideY, out, LDO ) | ||
|
|
||
| Computes the Cartesian product for two double-precision floating-point strided arrays. | ||
|
|
||
| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
|
|
||
| var x = new Float64Array( [ 1.0, 2.0 ] ); | ||
| var y = new Float64Array( [ 3.0, 4.0 ] ); | ||
| var out = new Float64Array( 8 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct( 'row-major', x.length, y.length, x, 1, y, 1, out, 2 ); | ||
| // out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] | ||
| ``` | ||
|
|
||
| The function has the following parameters: | ||
|
|
||
| - **order**: storage layout. | ||
| - **M**: number of indexed elements of `x`. | ||
| - **N**: number of indexed elements of `y`. | ||
| - **x**: input [`Float64Array`][@stdlib/array/float64]. | ||
| - **strideX**: stride length for `x`. | ||
| - **y**: input [`Float64Array`][@stdlib/array/float64]. | ||
| - **strideY**: stride length for `y`. | ||
| - **out**: output [`Float64Array`][@stdlib/array/float64]. | ||
| - **LDO**: stride length for the leading dimension of `out`. | ||
|
|
||
| The `M`, `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the Cartesian product of every other element: | ||
|
|
||
| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
|
|
||
| var x = new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] ); | ||
| var y = new Float64Array( [ 3.0, 0.0, 4.0, 0.0 ] ); | ||
| var out = new Float64Array( 8 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct( 'row-major', 2, 2, x, 2, y, 2, out, 2 ); | ||
| // out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] | ||
| ``` | ||
|
|
||
| Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. | ||
|
|
||
| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
|
|
||
| // Initial array... | ||
| var x0 = new Float64Array( [ 0.0, 1.0, 2.0 ] ); | ||
| var y0 = new Float64Array( [ 0.0, 3.0, 4.0 ] ); | ||
|
|
||
| // Create an offset view... | ||
| var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element | ||
| var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element | ||
|
|
||
| var out = new Float64Array( 8 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct( 'row-major', 2, 2, x1, 1, y1, 1, out, 2 ); | ||
| // out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] | ||
| ``` | ||
|
|
||
| <!--lint disable maximum-heading-length--> | ||
|
|
||
| #### dcartesianProduct.ndarray( M, N, x, strideX, offsetX, y, strideY, offsetY, out, strideOut1, strideOut2, offsetOut ) | ||
|
|
||
| <!--lint enable maximum-heading-length--> | ||
|
|
||
| Computes the Cartesian product for two double-precision floating-point strided arrays using alternative indexing semantics. | ||
|
|
||
| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
|
|
||
| var x = new Float64Array( [ 1.0, 2.0 ] ); | ||
| var y = new Float64Array( [ 3.0, 4.0 ] ); | ||
| var out = new Float64Array( 8 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct.ndarray( x.length, y.length, x, 1, 0, y, 1, 0, out, 2, 1, 0 ); | ||
| // out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] | ||
| ``` | ||
|
|
||
| The function has the following additional parameters: | ||
|
|
||
| - **offsetX**: starting index for `x`. | ||
| - **offsetY**: starting index for `y`. | ||
| - **strideOut1**: stride length for the first dimension of `out`. | ||
| - **strideOut2**: stride length for the second dimension of `out`. | ||
| - **offsetOut**: starting index for `out`. | ||
|
|
||
| While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to access only the last two elements: | ||
|
|
||
| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
|
|
||
| var x = new Float64Array( [ 0.0, 0.0, 1.0, 2.0 ] ); | ||
| var y = new Float64Array( [ 0.0, 0.0, 3.0, 4.0 ] ); | ||
| var out = new Float64Array( 8 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct.ndarray( 2, 2, x, 1, 2, y, 1, 2, out, 2, 1, 0 ); | ||
| // out => <Float64Array>[ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] | ||
| ``` | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.usage --> | ||
|
|
||
| <section class="notes"> | ||
|
|
||
| ## Notes | ||
|
|
||
| - For an input array `x` of length `M` and an input array `y` of length `N`, the output array `out` must contain at least `M*N*LDO` elements. | ||
| - If `N <= 0` or `M <= 0`, both functions return `out` unchanged. | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.notes --> | ||
|
|
||
| <section class="examples"> | ||
|
|
||
| ## Examples | ||
|
|
||
| <!-- eslint no-undef: "error" --> | ||
|
|
||
| ```javascript | ||
| var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
| var dcartesianProduct = require( '@stdlib/blas/ext/base/dcartesian-product' ); | ||
|
|
||
| var M = 3; | ||
| var N = 2; | ||
| var x = discreteUniform( M, 1, 10, { | ||
| 'dtype': 'float64' | ||
| }); | ||
| console.log( x ); | ||
|
|
||
| var y = discreteUniform( N, 1, 10, { | ||
| 'dtype': 'float64' | ||
| }); | ||
| console.log( y ); | ||
|
|
||
| var out = new Float64Array( M * N * 2 ); | ||
|
|
||
| // Compute the Cartesian product: | ||
| dcartesianProduct( 'row-major', M, N, x, 1, y, 1, out, 2 ); | ||
| console.log( out ); | ||
| ``` | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.examples --> | ||
|
|
||
| <!-- C interface documentation. --> | ||
|
|
||
| * * * | ||
|
|
||
| <section class="c"> | ||
|
|
||
| ## C APIs | ||
|
|
||
| <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> | ||
|
|
||
| <section class="intro"> | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.intro --> | ||
|
|
||
| <!-- C usage documentation. --> | ||
|
|
||
| <section class="usage"> | ||
|
|
||
| ### Usage | ||
|
|
||
| ```c | ||
| #include "stdlib/blas/ext/base/dcartesianproduct.h" | ||
| ``` | ||
|
|
||
| <!--lint disable maximum-heading-length--> | ||
|
|
||
| #### stdlib_strided_dcartesian_product( order, M, N, \*X, strideX, \*Y, strideY, \*Out, LDO ) | ||
|
|
||
| <!--lint enable maximum-heading-length--> | ||
|
|
||
| Computes the Cartesian product for two double-precision floating-point strided arrays. | ||
|
|
||
| ```c | ||
| #include "stdlib/blas/base/shared.h" | ||
|
|
||
| const double x[] = { 1.0, 2.0 }; | ||
| const double y[] = { 3.0, 4.0 }; | ||
| double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; | ||
|
|
||
| stdlib_strided_dcartesian_product( CblasRowMajor, 2, 2, x, 1, y, 1, out, 2 ); | ||
| ``` | ||
|
|
||
| The function accepts the following arguments: | ||
|
|
||
| - **order**: `[in] CBLAS_LAYOUT` storage layout. | ||
| - **M**: `[in] CBLAS_INT` number of indexed elements of `X`. | ||
| - **N**: `[in] CBLAS_INT` number of indexed elements of `Y`. | ||
| - **X**: `[in] double*` input array. | ||
| - **strideX**: `[in] CBLAS_INT` stride length for `X`. | ||
| - **Y**: `[in] double*` input array. | ||
| - **strideY**: `[in] CBLAS_INT` stride length for `Y`. | ||
| - **Out**: `[out] double*` output array. | ||
| - **LDO**: `[in] CBLAS_INT` stride of the leading dimension of `Out`. | ||
|
|
||
| ```c | ||
| void stdlib_strided_dcartesian_product( const CBLAS_LAYOUT order, const CBLAS_INT M, const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY, double *Out, const CBLAS_INT LDO ); | ||
| ``` | ||
|
|
||
| <!--lint disable maximum-heading-length--> | ||
|
|
||
| #### stdlib_strided_dcartesian_product_ndarray( M, N, \*X, strideX, offsetX, \*Y, strideY, offsetY, \*Out, strideOut1, strideOut2, offsetOut ) | ||
|
|
||
| <!--lint enable maximum-heading-length--> | ||
|
|
||
| Computes the Cartesian product for two double-precision floating-point strided arrays using alternative indexing semantics. | ||
|
|
||
| ```c | ||
| const double x[] = { 1.0, 2.0 }; | ||
| const double y[] = { 3.0, 4.0 }; | ||
| double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; | ||
|
|
||
| stdlib_strided_dcartesian_product_ndarray( 2, 2, x, 1, 0, y, 1, 0, out, 2, 1, 0 ); | ||
| ``` | ||
|
|
||
| The function accepts the following arguments: | ||
|
|
||
| - **M**: `[in] CBLAS_INT` number of indexed elements of `X`. | ||
| - **N**: `[in] CBLAS_INT` number of indexed elements of `Y`. | ||
| - **X**: `[in] double*` input array. | ||
| - **strideX**: `[in] CBLAS_INT` stride length for `X`. | ||
| - **offsetX**: `[in] CBLAS_INT` starting index for `X`. | ||
| - **Y**: `[in] double*` input array. | ||
| - **strideY**: `[in] CBLAS_INT` stride length for `Y`. | ||
| - **offsetY**: `[in] CBLAS_INT` starting index for `Y`. | ||
| - **Out**: `[out] double*` output array. | ||
| - **strideOut1**: `[in] CBLAS_INT` stride length of the first dimension of `Out`. | ||
| - **strideOut2**: `[in] CBLAS_INT` stride length of the second dimension of `Out`. | ||
| - **offsetOut**: `[in] CBLAS_INT` starting index for `Out`. | ||
|
|
||
| ```c | ||
| void stdlib_strided_dcartesian_product_ndarray( const CBLAS_INT M, const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY, double *Out, const CBLAS_INT strideOut1, const CBLAS_INT strideOut2, const CBLAS_INT offsetOut ); | ||
| ``` | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.usage --> | ||
|
|
||
| <!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
|
|
||
| <section class="notes"> | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.notes --> | ||
|
|
||
| <!-- C API usage examples. --> | ||
|
|
||
| <section class="examples"> | ||
|
|
||
| ### Examples | ||
|
|
||
| ```c | ||
| #include "stdlib/blas/ext/base/dcartesianproduct.h" | ||
| #include "stdlib/blas/base/shared.h" | ||
| #include <stdio.h> | ||
|
|
||
| int main( void ) { | ||
| // Create strided input arrays: | ||
| const double X[] = { 1.0, 2.0, 3.0, 4.0 }; | ||
| const double Y[] = { 5.0, 6.0, 7.0, 8.0 }; | ||
|
|
||
| // Specify the number of indexed elements: | ||
| const int M = 4; | ||
| const int N = 4; | ||
|
|
||
| // Create an output array (M*N pairs, each pair has LDO elements): | ||
| double out[ 64 ]; | ||
|
|
||
| // Specify strides: | ||
| const int strideX = 1; | ||
| const int strideY = 1; | ||
| const int LDO = 4; | ||
|
|
||
| // Compute the Cartesian product: | ||
| stdlib_strided_dcartesian_product( CblasRowMajor, M, N, X, strideX, Y, strideY, out, LDO ); | ||
|
|
||
| // Print the result: | ||
| for ( int i = 0; i < M*N; i++ ) { | ||
| printf( "out[ %i ] = ( %lf, %lf )\n", i, out[ i*LDO ], out[ i*LDO+1 ] ); | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.examples --> | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.c --> | ||
|
|
||
| <!-- 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/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64 | ||
|
|
||
| [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray | ||
|
|
||
| </section> | ||
|
|
||
| <!-- /.links --> | ||
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
This note needs to be sharpened or made more general. The output array must have
M*N*2indexed elements.