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feat: add blas/base/ndarray/strsv
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c36a7b7
feat: add blas/base/ndarray/strsv
MeKaustubh07 55851dc
Merge remote-tracking branch 'upstream/develop' into strsv/ndarray
stdlib-bot 23bd812
Merge remote-tracking branch 'upstream/develop' into strsv/ndarray
stdlib-bot 14c9a1c
feat: add float32Matrix and cleanup
MeKaustubh07 6119f50
Merge remote-tracking branch 'upstream/develop' into strsv/ndarray
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146 changes: 146 additions & 0 deletions
146
lib/node_modules/@stdlib/blas/base/ndarray/strsv/README.md
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| <!-- | ||
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| @license Apache-2.0 | ||
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| Copyright (c) 2026 The Stdlib Authors. | ||
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| 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 | ||
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| http://www.apache.org/licenses/LICENSE-2.0 | ||
|
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| 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. | ||
|
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| --> | ||
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| # strsv | ||
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| > Solve one of the systems of equations `A*x = b` or `A^T*x = b` for a triangular matrix `A`. | ||
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| <section class="intro"> | ||
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| </section> | ||
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| <!-- /.intro --> | ||
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| <section class="usage"> | ||
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| ## Usage | ||
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| ```javascript | ||
| var strsv = require( '@stdlib/blas/base/ndarray/strsv' ); | ||
| ``` | ||
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| #### strsv( arrays ) | ||
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| Solves one of the systems of equations `A*x = b` or `A^T*x = b`, where `b` and `x` are one-dimensional ndarrays and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix. | ||
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| <!-- eslint-disable max-len --> | ||
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| ```javascript | ||
| var Float32Matrix = require( '@stdlib/ndarray/matrix/float32' ); | ||
| var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); | ||
| var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' ); | ||
| var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' ); | ||
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| var x = new Float32Vector( [ 1.0, 2.0, 3.0 ] ); | ||
| var A = new Float32Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 4.0, 5.0 ], [ 0.0, 0.0, 6.0 ] ] ); | ||
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| var uplo = scalar2ndarray( resolveTriangle( 'upper' ), { | ||
| 'dtype': 'int32' | ||
| }); | ||
| var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), { | ||
| 'dtype': 'int32' | ||
| }); | ||
| var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), { | ||
| 'dtype': 'int32' | ||
| }); | ||
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| var out = strsv( [ x, A, uplo, trans, diag ] ); | ||
| // x => <ndarray>[ -0.25, -0.125, 0.5 ] | ||
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| var bool = ( out === x ); | ||
| // returns true | ||
| ``` | ||
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| The function has the following parameters: | ||
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| - **arrays**: array-like object containing the following ndarrays: | ||
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| - a one-dimensional input/output ndarray corresponding to `x`. | ||
| - a two-dimensional input ndarray corresponding to `A`. | ||
| - a zero-dimensional ndarray specifying whether the upper or lower triangular part of `A` should be referenced. | ||
| - a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed. | ||
| - a zero-dimensional ndarray specifying whether `A` has a unit or non-unit diagonal. | ||
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| </section> | ||
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| <!-- /.usage --> | ||
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| <section class="notes"> | ||
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| </section> | ||
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| <!-- /.notes --> | ||
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| <section class="examples"> | ||
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| ## Examples | ||
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| <!-- eslint-disable max-len --> | ||
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| <!-- eslint no-undef: "error" --> | ||
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| ```javascript | ||
| var discreteUniform = require( '@stdlib/random/discrete-uniform' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); | ||
| var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' ); | ||
| var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var strsv = require( '@stdlib/blas/base/ndarray/strsv' ); | ||
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| var opts = { | ||
| 'dtype': 'float32' | ||
| }; | ||
| var eopts = { | ||
| 'dtype': 'int32' | ||
| }; | ||
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| var x = discreteUniform( [ 3 ], 0, 10, opts ); | ||
| var A = discreteUniform( [ 3, 3 ], 0, 10, opts ); | ||
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| var uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts ); | ||
| var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts ); | ||
| var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts ); | ||
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| var out = strsv( [ x, A, uplo, trans, diag ] ); | ||
| console.log( ndarray2array( out ) ); | ||
| ``` | ||
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| </section> | ||
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| <!-- /.examples --> | ||
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| <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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| <section class="related"> | ||
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| </section> | ||
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| <!-- /.related --> | ||
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| <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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| <section class="links"> | ||
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| </section> | ||
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| <!-- /.links --> |
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123
lib/node_modules/@stdlib/blas/base/ndarray/strsv/benchmark/benchmark.js
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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. | ||
| */ | ||
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| 'use strict'; | ||
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| // MODULES // | ||
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| var bench = require( '@stdlib/bench' ); | ||
| var uniform = require( '@stdlib/random/uniform' ); | ||
| var zeros = require( '@stdlib/ndarray/zeros' ); | ||
| var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); | ||
| var pow = require( '@stdlib/math/base/special/pow' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); | ||
| var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' ); | ||
| var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' ); | ||
| var format = require( '@stdlib/string/format' ); | ||
| var pkg = require( './../package.json' ).name; | ||
| var strsv = require( './../lib' ); | ||
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| // VARIABLES // | ||
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| var options = { | ||
| 'dtype': 'float32' | ||
| }; | ||
| var eopts = { | ||
| 'dtype': 'int32' | ||
| }; | ||
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| // FUNCTIONS // | ||
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| /** | ||
| * Creates a benchmark function. | ||
| * | ||
| * @private | ||
| * @param {PositiveInteger} len - array length | ||
| * @returns {Function} benchmark function | ||
| */ | ||
| function createBenchmark( len ) { | ||
| var trans; | ||
| var diag; | ||
| var uplo; | ||
| var x; | ||
| var A; | ||
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| x = zeros( [ len ], options ); | ||
| A = uniform( [ len, len ], -100.0, 100.0, options ); | ||
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| uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts ); | ||
| trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts ); | ||
| diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts ); | ||
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| return benchmark; | ||
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| /** | ||
| * Benchmark function. | ||
| * | ||
| * @private | ||
| * @param {Benchmark} b - benchmark instance | ||
| */ | ||
| function benchmark( b ) { | ||
| var z; | ||
| var i; | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| z = strsv( [ x, A, uplo, trans, diag ] ); | ||
| if ( typeof z !== 'object' ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( isnanf( z.get( i%len ) ) ) { | ||
| b.fail( 'should not return NaN' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| } | ||
| } | ||
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| // MAIN // | ||
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| /** | ||
| * Main execution sequence. | ||
| * | ||
| * @private | ||
| */ | ||
| function main() { | ||
| var len; | ||
| var min; | ||
| var max; | ||
| var f; | ||
| var i; | ||
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| min = 1; // 10^min | ||
| max = 3; // 10^max | ||
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| for ( i = min; i <= max; i++ ) { | ||
| len = pow( 10, i ); | ||
| f = createBenchmark( len ); | ||
| bench( format( '%s:len=%d', pkg, len ), f ); | ||
| } | ||
| } | ||
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| main(); |
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44
lib/node_modules/@stdlib/blas/base/ndarray/strsv/docs/repl.txt
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| {{alias}}( arrays ) | ||
| Solves one of the systems of equations `A*x = b` or `A^T*x = b`, where `b` | ||
| and `x` are one-dimensional ndarrays and `A` is an `N` by `N` unit, or | ||
| non-unit, upper or lower triangular matrix. | ||
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| Parameters | ||
| ---------- | ||
| arrays: ArrayLikeObject<ndarray> | ||
| Array-like object containing the following ndarrays: | ||
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| - a one-dimensional input/output ndarray corresponding to `x`. | ||
| - a two-dimensional input ndarray corresponding to `A`. | ||
| - a zero-dimensional ndarray specifying whether the upper or lower | ||
| triangular part of `A` should be referenced. | ||
| - a zero-dimensional ndarray specifying whether `A` should be | ||
| transposed, conjugate-transposed, or not transposed. | ||
| - a zero-dimensional ndarray specifying whether `A` has a unit or non- | ||
| unit diagonal. | ||
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| Returns | ||
| ------- | ||
| out: ndarray | ||
| Output ndarray. | ||
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| Examples | ||
| -------- | ||
| > var xbuf = [ 1.0, 2.0, 3.0 ]; | ||
| > var x = new {{alias:@stdlib/ndarray/vector/float32}}( xbuf ); | ||
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| > var abuf = [ [ 1.0, 2.0, 3.0 ], [ 0.0, 4.0, 5.0 ], [ 0.0, 0.0, 6.0 ] ]; | ||
| > var A = new {{alias:@stdlib/ndarray/matrix/float32}}( abuf ); | ||
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| > var uplo = {{alias:@stdlib/ndarray/from-scalar}}( 'upper' ); | ||
| > var trans = {{alias:@stdlib/ndarray/from-scalar}}( 'no-transpose' ); | ||
| > var diag = {{alias:@stdlib/ndarray/from-scalar}}( 'non-unit' ); | ||
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| > {{alias}}( [ x, A, uplo, trans, diag ] ); | ||
| > x | ||
| <ndarray>[ -0.25, -0.125, 0.5 ] | ||
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| See Also | ||
| -------- | ||
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73 changes: 73 additions & 0 deletions
73
lib/node_modules/@stdlib/blas/base/ndarray/strsv/docs/types/index.d.ts
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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. | ||
| */ | ||
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| // TypeScript Version: 4.1 | ||
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| /// <reference types="@stdlib/types"/> | ||
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| import { float32ndarray, ndarray } from '@stdlib/types/ndarray'; | ||
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| /** | ||
| * Solves one of the systems of equations `A*x = b` or `A^T*x = b`, where `b` and `x` are one-dimensional ndarrays and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix. | ||
| * | ||
| * ## Notes | ||
| * | ||
| * - The function expects the following ndarrays: | ||
| * | ||
| * - a one-dimensional input/output ndarray corresponding to `x`. | ||
| * - a two-dimensional input ndarray corresponding to `A`. | ||
| * - a zero-dimensional ndarray specifying whether the upper or lower triangular part of `A` should be referenced. | ||
| * - a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed. | ||
| * - a zero-dimensional ndarray specifying whether `A` has a unit or non-unit diagonal. | ||
| * | ||
| * @param arrays - array-like object containing ndarrays | ||
| * @returns output ndarray | ||
| * | ||
| * @example | ||
| * var Float32Matrix = require( '@stdlib/ndarray/matrix/float32' ); | ||
| * var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); | ||
| * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| * var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); | ||
| * var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' ); | ||
| * var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' ); | ||
| * | ||
| * var x = new Float32Vector( [ 1.0, 2.0, 3.0 ] ); | ||
| * var A = new Float32Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 4.0, 5.0 ], [ 0.0, 0.0, 6.0 ] ] ); | ||
| * | ||
| * var uplo = scalar2ndarray( resolveTriangle( 'upper' ), { | ||
| * 'dtype': 'int32' | ||
| * }); | ||
| * var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), { | ||
| * 'dtype': 'int32' | ||
| * }); | ||
| * var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), { | ||
| * 'dtype': 'int32' | ||
| * }); | ||
| * | ||
| * var out = strsv( [ x, A, uplo, trans, diag ] ); | ||
| * // returns <ndarray>[ -0.25, -0.125, 0.5 ] | ||
| * | ||
| * var bool = ( out === x ); | ||
| * // returns true | ||
| */ | ||
| declare function strsv( arrays: [ float32ndarray, float32ndarray, ndarray, ndarray, ndarray ] ): float32ndarray; | ||
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| // EXPORTS // | ||
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| export = strsv; |
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You need to switch the order of
xandA. The output ndarray should be last among the subset of non-scalar ndarrays.There was a problem hiding this comment.
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This will affect all files in this PR.