From 246209bac49e6ba031ee4928085998049deff8f3 Mon Sep 17 00:00:00 2001 From: JoyBoy <144602492+0PrashantYadav0@users.noreply.github.com> Date: Mon, 17 Mar 2025 13:17:23 +0530 Subject: [PATCH 1/5] feat: add blas/ext/base/wasm/dnanasumors --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: passed - task: lint_package_json status: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: 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mode 100644 lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.routine.js diff --git a/lib/node_modules/@stdlib/blas/ext/base/dnanasumors/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/dnanasumors/manifest.json index a944a1c63d64..48ccc425a459 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/dnanasumors/manifest.json +++ b/lib/node_modules/@stdlib/blas/ext/base/dnanasumors/manifest.json @@ -1,6 +1,7 @@ { - "options": { - "task": "build" + "options": { + "task": "build", + "wasm": false }, "fields": [ { @@ -27,6 +28,7 @@ "confs": [ { "task": "build", + "wasm": false, "src": [ "./src/main.c" ], @@ -49,6 +51,7 @@ }, { "task": "benchmark", + "wasm": false, "src": [ "./src/main.c" ], @@ -66,6 +69,25 @@ }, { "task": "examples", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/math/base/assert/is-nan", + "@stdlib/math/base/special/abs", + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + { + "task": "build", + "wasm": true, "src": [ "./src/main.c" ], diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/README.md new file mode 100644 index 000000000000..7103119945bc --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/README.md @@ -0,0 +1,294 @@ + + +# dnanasumors + +> Calculate the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. + +
+ +## Usage + +```javascript +var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' ); +``` + +#### dnanasumors.main( N, x, strideX ) + +Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + +var v = dnanasumors.main( x.length, x, 1 ); +// returns 5.0 +``` + +The function has the following parameters: + +- **N**: number of indexed elements. +- **x**: input [`Float64Array`][@stdlib/array/float64]. +- **strideX**: stride length. + +The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of absolute values ([_L1_ norm][l1norm]) for every other element: + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] ); + +var sum = dnanasumors.main( 4, x, 2 ); +// returns 5.0 +``` + +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' ); + +var x0 = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + +var v = dnanasumors.main( 4, x1, 2 ); +// returns 9.0 +``` + +#### dnanasumors.ndarray( N, x, strideX, offsetX ) + +Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); + +var v = dnanasumors.ndarray( x.length, x, 1, 0 ); +// returns 5.0 +``` + +The function has the following additional parameters: + +- **offsetX**: starting index. + +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 sum of absolute values ([_L1_ norm][l1norm]) for every other value in the strided array starting from the second value: + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); + +var v = dnanasumors.ndarray( 4, x, 2, 1 ); +// returns 9.0 +``` + +* * * + +### Module + +#### dnanasumors.Module( memory ) + +Returns a new WebAssembly [module wrapper][@stdlib/wasm/module-wrapper] instance which uses the provided WebAssembly [memory][@stdlib/wasm/memory] instance as its underlying memory. + + + +```javascript +var Memory = require( '@stdlib/wasm/memory' ); + +// Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +var mem = new Memory({ + 'initial': 10, + 'maximum': 100 +}); + +// Create a BLAS routine: +var mod = new dnanasumors.Module( mem ); +// returns + +// Initialize the routine: +mod.initializeSync(); +``` + +#### dnanasumors.Module.prototype.main( N, xp, sx ) + +Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. + + + +```javascript +var Memory = require( '@stdlib/wasm/memory' ); +var oneTo = require( '@stdlib/array/one-to' ); +var zeros = require( '@stdlib/array/zeros' ); + +// Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +var mem = new Memory({ + 'initial': 10, + 'maximum': 100 +}); + +// Create a BLAS routine: +var mod = new dnanasumors.Module( mem ); +// returns + +// Initialize the routine: +mod.initializeSync(); + +// Define a vector data type: +var dtype = 'float64'; + +// Specify a vector length: +var N = 3; + +// Define a pointer (i.e., byte offset) for storing the input vector: +var xptr = 0; + +// Write vector values to module memory: +mod.write( xptr, oneTo( N, dtype ) ); + +// Perform computation: +var v = mod.main( N, xptr, 1 ); +// returns 6.0 +``` + +The function has the following parameters: + +- **N**: number of indexed elements. +- **xp**: input [`Float64Array`][@stdlib/array/float64] pointer (i.e., byte offset). +- **sx**: stride length. + +#### dnanasumors.Module.prototype.ndarray( N, xp, sx, ox ) + +Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. + + + +```javascript +var Memory = require( '@stdlib/wasm/memory' ); +var oneTo = require( '@stdlib/array/one-to' ); +var zeros = require( '@stdlib/array/zeros' ); + +// Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +var mem = new Memory({ + 'initial': 10, + 'maximum': 100 +}); + +// Create a BLAS routine: +var mod = new dnanasumors.Module( mem ); +// returns + +// Initialize the routine: +mod.initializeSync(); + +// Define a vector data type: +var dtype = 'float64'; + +// Specify a vector length: +var N = 3; + +// Define a pointer (i.e., byte offset) for storing the input vector: +var xptr = 0; + +// Write vector values to module memory: +mod.write( xptr, oneTo( N, dtype ) ); + +// Perform computation: +var v = mod.ndarray( N, xptr, 1, 0 ); +// returns 6.0 +``` + +The function has the following additional parameters: + +- **ox**: starting index. + +
+ + + +
+ +* * * + +## Notes + +- If `N <= 0`, both functions return `0.0`. +- Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation is acceptable; in all other cases, exercise due caution. +- This package implements routines using WebAssembly. When provided arrays which are not allocated on a `dnanasumors` module memory instance, data must be explicitly copied to module memory prior to computation. Data movement may entail a performance cost, and, thus, if you are using arrays external to module memory, you should prefer using [`@stdlib/blas/ext/base/dnanasumors`][@stdlib/blas/ext/base/dnanasumors]. However, if working with arrays which are allocated and explicitly managed on module memory, you can achieve better performance when compared to the pure JavaScript implementations found in [`@stdlib/blas/ext/base/dnanasumors`][@stdlib/blas/ext/base/dnanasumors]. Beware that such performance gains may come at the cost of additional complexity when having to perform manual memory management. Choosing between implementations depends heavily on the particular needs and constraints of your application, with no one choice universally better than the other. + +
+ + + +
+ +* * * + +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' ); + +var opts = { + 'dtype': 'float64' +}; +var x = discreteUniform( 10, 0, 100, opts ); +console.log( x ); + +var v = dnanasumors.ndarray( x.length, x, 1, 0 ); +console.log( v ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +[l1norm]: https://en.wikipedia.org/wiki/Norm_%28mathematics%29 + +[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray + +[@stdlib/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64 + +[@stdlib/wasm/memory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/wasm/memory + +[@stdlib/wasm/module-wrapper]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/wasm/module-wrapper + +[@stdlib/blas/ext/base/dnanasumors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dnanasumors + +
+ + diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.js new file mode 100644 index 000000000000..fda2315b1fa5 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.js @@ -0,0 +1,106 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dnanasumors = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': !hasWebAssemblySupport() +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = uniform( len, -10.0, 10.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var sum; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + sum = dnanasumors.main( x.length, x, 1 ); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+':len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.js new file mode 100644 index 000000000000..ed26cfaccc42 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.js @@ -0,0 +1,66 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var Memory = require( '@stdlib/wasm/memory' ); +var pkg = require( './../package.json' ).name; +var dnanasumors = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': !hasWebAssemblySupport() +}; + + +// MAIN // + +bench( pkg+':Module:constructor', opts, function benchmark( b ) { + var values; + var o; + var v; + var i; + + o = { + 'initial': 0 + }; + values = [ + new Memory( o ), + new Memory( o ) + ]; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = new dnanasumors.Module( values[ i%values.length ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an object' ); + } + } + b.toc(); + if ( typeof v !== 'object' ) { + b.fail( 'should return an object' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.main.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.main.js new file mode 100644 index 000000000000..424314eb70c4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.main.js @@ -0,0 +1,130 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var Memory = require( '@stdlib/wasm/memory' ); +var bytesPerElement = require( '@stdlib/ndarray/base/bytes-per-element' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dnanasumors = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': !hasWebAssemblySupport() +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var xptr; + var mod; + var mem; + var sum; + var nb; + var i; + + // Create a new BLAS routine interface: + mem = new Memory({ + 'initial': 0 + }); + mod = new dnanasumors.Module( mem ); + + // Initialize the module: + mod.initializeSync(); // eslint-disable-line node/no-sync + + // Reallocate the underlying memory to allow storing a vector: + nb = bytesPerElement( options.dtype ); + mod.realloc( len*nb ); + + // Define a pointer (i.e., byte offset) to the first vector element: + xptr = 0; + + // Write random values to module memory: + mod.write( xptr, uniform( len, -10.0, 10.0, options ) ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + sum = mod.main( len, xptr, 1 ); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+'::module,pointers:len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.ndarray.js new file mode 100644 index 000000000000..6827347bc9d2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.module.ndarray.js @@ -0,0 +1,130 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var Memory = require( '@stdlib/wasm/memory' ); +var bytesPerElement = require( '@stdlib/ndarray/base/bytes-per-element' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dnanasumors = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': !hasWebAssemblySupport() +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var xptr; + var mod; + var mem; + var sum; + var nb; + var i; + + // Create a new BLAS routine interface: + mem = new Memory({ + 'initial': 0 + }); + mod = new dnanasumors.Module( mem ); + + // Initialize the module: + mod.initializeSync(); // eslint-disable-line node/no-sync + + // Reallocate the underlying memory to allow storing a vector: + nb = bytesPerElement( options.dtype ); + mod.realloc( len*nb ); + + // Define a pointer (i.e., byte offset) to the first vector element: + xptr = 0; + + // Write random values to module memory: + mod.write( xptr, uniform( len, -10.0, 10.0, options ) ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + sum = mod.ndarray( len, xptr, 1, 0 ); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+'::module,pointers:ndarray:len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.ndarray.js new file mode 100644 index 000000000000..6ae3b7d862c4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/benchmark/benchmark.ndarray.js @@ -0,0 +1,106 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dnanasumors = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': !hasWebAssemblySupport() +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = uniform( len, -10.0, 10.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var sum; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + sum = dnanasumors.ndarray( x.length, x, 1, 0 ); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( sum ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+':ndarray:len='+len, opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/repl.txt new file mode 100644 index 000000000000..5a3777635259 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/repl.txt @@ -0,0 +1,502 @@ + +{{alias}}.main( N, x, strideX ) + Computes the sum of absolute values (L1 norm) of double-precision floating- + point strided array elements, ignoring `NaN` values and using ordinary + recursive summation. + + The `N` and stride parameters determine which elements in the strided array + are accessed at runtime. + + Indexing is relative to the first index. To introduce an offset, use a typed + array view. + + If `N <= 0`, the function returns `0.0`. + + Parameters + ---------- + N: integer + Number of indexed elements. + + x: Float64Array + Input array. + + strideX: integer + Stride length. + + Returns + ------- + out: number + Sum. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); + > {{alias}}.main( x.length, x, 1 ) + 5.0 + + // Using `N` and stride parameters: + > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] ); + > {{alias}}.main( 4, x, 2 ) + 5.0 + + // Using view offsets: + > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] ); + > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); + > {{alias}}.main( 4, x1, 2 ) + 5.0 + + +{{alias}}.ndarray( N, x, strideX, offsetX ) + Computes the sum of absolute values (L1 norm) of double-precision floating- + point strided array elements, ignoring `NaN` values and using ordinary + recursive summation alternative indexing semantics. + + While typed array views mandate a view offset based on the underlying + buffer, the offset parameter supports indexing semantics based on a + starting index. + + Parameters + ---------- + N: integer + Number of indexed elements. + + x: Float64Array + Input array. + + strideX: integer + Stride length. + + offsetX: integer + Starting index. + + Returns + ------- + out: number + Sum. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); + > {{alias}}.ndarray( x.length, x, 1, 0 ) + 5.0 + + // Using offset parameter: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] ); + > {{alias}}.ndarray( 4, x, 2, 1 ) + 5.0 + + +{{alias}}.Module( memory ) + Returns a new WebAssembly module wrapper which uses the provided WebAssembly + memory instance as its underlying memory. + + Parameters + ---------- + memory: Memory + WebAssembly memory instance. + + Returns + ------- + mod: Module + WebAssembly module wrapper. + + Examples + -------- + // Create a new memory instance: + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + + // Create a new routine: + > var mod = new {{alias}}.Module( mem ); + + // Initialize the routine: + > mod.initializeSync(); + + +{{alias}}.Module.prototype.binary + Read-only property which returns WebAssembly binary code. + + Returns + ------- + out: Uint8Array + WebAssembly binary code. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.binary + + + +{{alias}}.Module.prototype.memory + Read-only property which returns WebAssembly memory. + + Returns + ------- + mem: Memory|null + WebAssembly memory. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.memory + + + +{{alias}}.Module.prototype.buffer + Read-only property which returns a WebAssembly memory buffer as a + Uint8Array. + + Returns + ------- + buf: Uint8Array|null + WebAssembly memory buffer. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.buffer + + + +{{alias}}.Module.prototype.view + Read-only property which returns a WebAsssembly memory buffer as a DataView. + + Returns + ------- + view: DataView|null + WebAssembly memory view. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.view + + + +{{alias}}.Module.prototype.exports + Read-only property which returns "raw" WebAssembly module exports. + + Returns + ------- + out: Object|null + WebAssembly module exports. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.exports + {...} + + +{{alias}}.Module.prototype.initialize() + Asynchronously initializes a WebAssembly module instance. + + Returns + ------- + p: Promise + Promise which resolves upon initializing a WebAssembly module instance. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initialize(); + + +{{alias}}.Module.prototype.initializeAsync( clbk ) + Asynchronously initializes a WebAssembly module instance. + + Parameters + ---------- + clbk: Function + Callback to invoke upon initializing a WebAssembly module instance. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > function clbk() { console.log( 'done' ) }; + > mod.initializeAsync( clbk ); + + +{{alias}}.Module.prototype.initializeSync() + Synchronously initializes a WebAssembly module instance. + + In web browsers, JavaScript engines may raise an exception when attempting + to synchronously compile large WebAssembly binaries due to concerns about + blocking the main thread. Hence, to initialize WebAssembly modules having + large binaries (e.g., >4KiB), consider using asynchronous initialization + methods in browser contexts. + + Returns + ------- + mod: Module + Module wrapper instance. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + + +{{alias}}.Module.prototype.realloc( nbytes ) + Reallocates the underlying WebAssembly memory instance to a specified number + of bytes. + + WebAssembly memory can only *grow*, not shrink. Hence, if provided a number + of bytes which is less than or equal to the size of the current memory, the + function does nothing. + + When non-shared memory is resized, the underlying the `ArrayBuffer` is + detached, consequently invalidating any associated typed array views. Before + resizing non-shared memory, ensure that associated typed array views no + longer need byte access and can be garbage collected. + + Parameters + ---------- + nbytes: integer + Memory size (in bytes). + + Returns + ------- + bool: boolean + Boolean indicating whether the resize operation was successful. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.realloc( 100 ) + + + +{{alias}}.Module.prototype.hasCapacity( byteOffset, values ) + Returns a boolean indicating whether the underlying WebAssembly memory + instance has the capacity to store a provided list of values starting from a + specified byte offset. + + Parameters + ---------- + byteOffset: integer + Byte offset at which to start writing values. + + values: ArrayLikeObject + Input array containing values to write. + + Returns + ------- + bool: boolean + Boolean indicating whether the underlying WebAssembly memory instance + has enough capacity. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.realloc( 100 ); + > mod.hasCapacity( 0, [ 1, 2, 3, 4 ] ) + true + + +{{alias}}.Module.prototype.isView( values ) + Returns a boolean indicating whether a provided list of values is a view of + the underlying memory of the WebAssembly module. + + Parameters + ---------- + values: ArrayLikeObject + Input array. + + Returns + ------- + bool: boolean + Boolean indicating whether the list is a memory view. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.realloc( 100 ); + > mod.isView( [ 1, 2, 3, 4 ] ) + false + + +{{alias}}.Module.prototype.write( byteOffset, values ) + Writes values to the underlying WebAssembly memory instance. + + The function infers element size (i.e., number of bytes per element) from + the data type of the input array. For example, if provided a Float32Array, + the function writes each element as a single-precision floating-point number + to the underlying WebAssembly memory instance. + + In order to write elements as a different data type, you need to perform an + explicit cast *before* calling this method. For example, in order to write + single-precision floating-point numbers contained in a Float32Array as + signed 32-bit integers, you must first convert the Float32Array to an + Int32Array before passing the values to this method. + + If provided an array having an unknown or "generic" data type, elements are + written as double-precision floating-point numbers. + + Parameters + ---------- + byteOffset: integer + Byte offset at which to start writing values. + + values: ArrayLikeObject + Input array containing values to write. + + Returns + ------- + mod: Module + Module wrapper instance. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.realloc( 100 ); + > mod.write( 0, [ 1, 2, 3, 4 ] ); + + +{{alias}}.Module.prototype.read( byteOffset, out ) + Reads values from the underlying WebAssembly memory instance. + + The function infers element size (i.e., number of bytes per element) from + the data type of the output array. For example, if provided a Float32Array, + the function reads each element as a single-precision floating-point number + from the underlying WebAssembly memory instance. + + In order to read elements as a different data type, you need to perform an + explicit cast *after* calling this method. For example, in order to read + single-precision floating-point numbers contained in a Float32Array as + signed 32-bit integers, you must convert the Float32Array to an Int32Array + after reading memory values using this method. + + If provided an output array having an unknown or "generic" data type, + elements are read as double-precision floating-point numbers. + + Parameters + ---------- + byteOffset: integer + Byte offset at which to start reading values. + + out: ArrayLikeObject + Output array for storing read values. + + Returns + ------- + mod: Module + Module wrapper instance. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 0 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + > mod.realloc( 100 ); + > mod.write( 0, [ 1, 2, 3, 4 ] ); + > var out = [ 0, 0, 0, 0 ]; + > mod.read( 0, out ); + > out + [ 1, 2, 3, 4 ] + + +{{alias}}.Module.prototype.main( N, xp, sx ) + Computes the sum of absolute values (L1 norm) of double-precision floating- + point strided array elements, ignoring `NaN` values and using ordinary + recursive summation. + + Parameters + ---------- + N: integer + Number of indexed elements. + + xp: integer + Input array pointer (i.e., byte offset). + + sx: integer + Stride length. + + Returns + ------- + sum: number + Sum. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 1 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + + // Define a "pointer" (i.e., byte offset) into module memory: + > var xptr = 0; + + // Write data to module memory: + > mod.write( xptr, {{alias:@stdlib/array/one-to}}( 3, 'float64' ) ); + + // Perform computation: + > var s = mod.main( 3, xptr, 1 ) + 6.0 + + +{{alias}}.Module.prototype.ndarray( N, xp, sx, ox ) + Computes the sum of absolute values (L1 norm) of double-precision floating- + point strided array elements, ignoring `NaN` values and using ordinary + recursive summation alternative indexing semantics. + + Parameters + ---------- + N: integer + Number of indexed elements. + + xp: integer + Input array pointer (i.e., byte offset). + + sx: integer + Stride length. + + ox: integer + Starting index. + + Returns + ------- + sum: number + Sum. + + Examples + -------- + > var mem = new {{alias:@stdlib/wasm/memory}}( { 'initial': 1 } ); + > var mod = new {{alias}}.Module( mem ); + > mod.initializeSync(); + + // Define a "pointer" (i.e., byte offset) into module memory: + > var xptr = 0; + + // Write data to module memory: + > mod.write( xptr, {{alias:@stdlib/array/one-to}}( 3, 'float64' ) ); + + // Perform computation: + > var s = mod.ndarray( 3, xptr, 1, 0 ) + 6.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts new file mode 100644 index 000000000000..23b55a08e5c4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts @@ -0,0 +1,316 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +// TypeScript Version: 4.1 + +/// + +import { ModuleWrapper, Memory } from '@stdlib/types/wasm'; + +/** +* Interface defining a module constructor which is both "newable" and "callable". +*/ +interface ModuleConstructor { + /** + * Returns a new WebAssembly module wrapper instance which uses the provided WebAssembly memory instance as its underlying memory. + * + * @param mem - WebAssembly memory instance + * @returns module wrapper instance + * + * @example + * var Memory = require( '@stdlib/wasm/memory' ); + * var oneTo = require( '@stdlib/array/one-to' ); + * + * // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + * var mem = new Memory({ + * 'initial': 10, + * 'maximum': 100 + * }); + * + * // Create a BLAS routine: + * var mod = new dnanasumors.Module( mem ); + * // returns + * + * // Initialize the routine: + * mod.initializeSync(); + * + * // Define a vector data type: + * var dtype = 'float64'; + * + * // Specify a vector length: + * var N = 3; + * + * // Define a pointer (i.e., byte offset) to the first vector element: + * var xptr = 0; + * + * // Write vector values to module memory: + * mod.write( xptr, oneTo( N, dtype ) ); + * + * // Perform computation: + * var out = mod.main( N, xptr, 1 ); + * // returns 6.0 + */ + new( mem: Memory ): Module; // newable + + /** + * Returns a new WebAssembly module wrapper instance which uses the provided WebAssembly memory instance as its underlying memory. + * + * @param mem - WebAssembly memory instance + * @returns module wrapper instance + * + * @example + * var Memory = require( '@stdlib/wasm/memory' ); + * var oneTo = require( '@stdlib/array/one-to' ); + * + * // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + * var mem = new Memory({ + * 'initial': 10, + * 'maximum': 100 + * }); + * + * // Create a BLAS routine: + * var mod = dnanasumors.Module( mem ); + * // returns + * + * // Initialize the routine: + * mod.initializeSync(); + * + * // Define a vector data type: + * var dtype = 'float64'; + * + * // Specify a vector length: + * var N = 3; + * + * // Define a pointer (i.e., byte offset) to the first vector element: + * var xptr = 0; + * + * // Write vector values to module memory: + * mod.write( xptr, oneTo( N, dtype ) ); + * + * // Perform computation: + * var out = mod.main( N, xptr, 1 ); + * // returns 6.0 + */ + ( mem: Memory ): Module; // callable +} + +/** +* Interface describing a `dnanasumors` WebAssembly module. +*/ +interface Module extends ModuleWrapper { + /** + * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. + * + * @param N - number of indexed elements + * @param xptr - input array pointer (i.e., byte offset) + * @param strideX - stride length + * @returns sum + * + * @example + * var Memory = require( '@stdlib/wasm/memory' ); + * var oneTo = require( '@stdlib/array/one-to' ); + * + * // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + * var mem = new Memory({ + * 'initial': 10, + * 'maximum': 100 + * }); + * + * // Create a BLAS routine: + * var mod = new dnanasumors.Module( mem ); + * // returns + * + * // Initialize the routine: + * mod.initializeSync(); + * + * // Define a vector data type: + * var dtype = 'float64'; + * + * // Specify a vector length: + * var N = 3; + * + * // Define a pointer (i.e., byte offset) to the first vector element: + * var xptr = 0; + * + * // Write vector values to module memory: + * mod.write( xptr, oneTo( N, dtype ) ); + * + * // Perform computation: + * var out = mod.main( N, xptr, 1 ); + * // returns 6.0 + */ + main( N: number, xptr: number, strideX: number ): number; + + /** + * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. + * + * @param N - number of indexed elements + * @param xptr - input array pointer (i.e., byte offset) + * @param strideX - stride length + * @param offsetX - starting index + * @returns sum + * + * @example + * var Memory = require( '@stdlib/wasm/memory' ); + * var oneTo = require( '@stdlib/array/one-to' ); + * + * // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + * var mem = new Memory({ + * 'initial': 10, + * 'maximum': 100 + * }); + * + * // Create a BLAS routine: + * var mod = new dnanasumors.Module( mem ); + * // returns + * + * // Initialize the routine: + * mod.initializeSync(); + * + * // Define a vector data type: + * var dtype = 'float64'; + * + * // Specify a vector length: + * var N = 3; + * + * // Define a pointer (i.e., byte offset) to the first vector element: + * var xptr = 0; + * + * // Write vector values to module memory: + * mod.write( xptr, oneTo( N, dtype ) ); + * + * // Perform computation: + * var out = mod.ndarray( N, xptr, 1, 0 ); + * // returns 6.0 + */ + ndarray( N: number, xptr: number, strideX: number, offsetX: number ): number; +} + +/** +* Interface describing `dnanasumors`. +*/ +interface Routine extends ModuleWrapper { + /** + * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. + * + * @param N - number of indexed elements + * @param x - input array + * @param strideX - stride length + * @returns sum + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 1.0, -2.0, NaN 2.0 ] ); + * + * var out = dnanasumors.main( 4, x, 1 ); + * // returns 1.0 + */ + main( N: number, x: Float64Array, strideX: number ): number; + + /** + * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. + * + * @param N - number of indexed elements + * @param x - input array + * @param strideX - stride length + * @param offsetX - starting index + * @returns sum + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); + * + * var out = dnanasumors.ndarray( 4, x, 2, 1 ); + * // returns 5.0 + */ + ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; + + /** + * Returns a new WebAssembly module wrapper instance which uses the provided WebAssembly memory instance as its underlying memory. + * + * @param mem - WebAssembly memory instance + * @returns module wrapper instance + * + * @example + * var Memory = require( '@stdlib/wasm/memory' ); + * var oneTo = require( '@stdlib/array/one-to' ); + * + * // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + * var mem = new Memory({ + * 'initial': 10, + * 'maximum': 100 + * }); + * + * // Create a BLAS routine: + * var mod = new dnanasumors.Module( mem ); + * // returns + * + * // Initialize the routine: + * mod.initializeSync(); + * + * // Define a vector data type: + * var dtype = 'float64'; + * + * // Specify a vector length: + * var N = 3; + * + * // Define a pointer (i.e., byte offset) to the first vector element: + * var xptr = 0; + * + * // Write vector values to module memory: + * mod.write( xptr, oneTo( N, dtype ) ); + * + * // Perform computation: + * var out = mod.main( N, xptr, 1 ); + * // returns 6.0 + */ + Module: ModuleConstructor; +} + +/** +* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. +* +* @param N - number of indexed elements +* @param x - input array +* @param strideX - stride length +* @returns sum +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* var out = dnanasumors.main( 4, x, 1 ); +* // returns 1.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +* +* var out = dnanasumors.ndarray( 4, x, 2, 1 ); +* // returns 5.0 +*/ +declare var dnanasumors: Routine; + + +// EXPORTS // + +export = dnanasumors; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/test.ts new file mode 100644 index 000000000000..3424185a0094 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/test.ts @@ -0,0 +1,347 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +/* eslint-disable space-in-parens */ + +import Memory = require( '@stdlib/wasm/memory' ); +import dnanasumors = require( './index' ); + + +// TESTS // + +// Attached to the main export is a `main` method which returns a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.main( x.length, x, 1 ); // $ExpectType number +} + +// The compiler throws an error if the `main` method is provided a first argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.main( '10', x, 1 ); // $ExpectError + dnanasumors.main( true, x, 1 ); // $ExpectError + dnanasumors.main( false, x, 1 ); // $ExpectError + dnanasumors.main( null, x, 1 ); // $ExpectError + dnanasumors.main( undefined, x, 1 ); // $ExpectError + dnanasumors.main( [], x, 1 ); // $ExpectError + dnanasumors.main( {}, x, 1 ); // $ExpectError + dnanasumors.main( ( x: number ): number => x, x, 1 ); // $ExpectError +} + +// The compiler throws an error if the `main` method is provided a second argument which is not a Float64Array... +{ + const x = new Float64Array( 10 ); + + dnanasumors.main( x.length, 10, 1 ); // $ExpectError + dnanasumors.main( x.length, '10', 1 ); // $ExpectError + dnanasumors.main( x.length, true, 1 ); // $ExpectError + dnanasumors.main( x.length, false, 1 ); // $ExpectError + dnanasumors.main( x.length, null, 1 ); // $ExpectError + dnanasumors.main( x.length, undefined, 1 ); // $ExpectError + dnanasumors.main( x.length, [], 1 ); // $ExpectError + dnanasumors.main( x.length, {}, 1 ); // $ExpectError + dnanasumors.main( x.length, ( x: number ): number => x, 1 ); // $ExpectError +} + +// The compiler throws an error if the `main` method is provided a third argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.main( x.length, x, '10' ); // $ExpectError + dnanasumors.main( x.length, x, true ); // $ExpectError + dnanasumors.main( x.length, x, false ); // $ExpectError + dnanasumors.main( x.length, x, null ); // $ExpectError + dnanasumors.main( x.length, x, undefined ); // $ExpectError + dnanasumors.main( x.length, x, [] ); // $ExpectError + dnanasumors.main( x.length, x, {} ); // $ExpectError + dnanasumors.main( x.length, x, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the `main` method is provided an unsupported number of arguments... +{ + const x = new Float64Array( 10 ); + + dnanasumors.main(); // $ExpectError + dnanasumors.main( x.length ); // $ExpectError + dnanasumors.main( x.length, x ); // $ExpectError + dnanasumors.main( x.length, x, 1, 10 ); // $ExpectError +} + +// Attached to main export is an `ndarray` method which returns a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray( x.length, x, 1, 0 ); // $ExpectType number +} + +// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray( '10', x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( true, x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( false, x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( null, x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( undefined, x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( [], x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( {}, x, 1, 0 ); // $ExpectError + dnanasumors.ndarray( ( x: number ): number => x, x, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float64Array... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray( x.length, 10, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, '10', 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, true, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, false, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, null, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, undefined, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, [], 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, {}, 1, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, ( x: number ): number => x, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray( x.length, x, '10', 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, true, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, false, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, null, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, undefined, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, [], 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, {}, 0 ); // $ExpectError + dnanasumors.ndarray( x.length, x, ( x: number ): number => x, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray( x.length, x, 1, '10' ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, true ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, false ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, null ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, undefined ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, [] ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, {} ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments... +{ + const x = new Float64Array( 10 ); + + dnanasumors.ndarray(); // $ExpectError + dnanasumors.ndarray( x.length ); // $ExpectError + dnanasumors.ndarray( x.length, x ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1 ); // $ExpectError + dnanasumors.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError +} + +// Attached to the main export is a `Module` constructor which returns a module... +{ + const mem = new Memory({ + 'initial': 0 + }); + + dnanasumors.Module( mem ); // $ExpectType Module +} + +// The compiler throws an error if the `Module` constructor is not provided a WebAssembly memory instance... +{ + dnanasumors.Module( '10' ); // $ExpectError + dnanasumors.Module( true ); // $ExpectError + dnanasumors.Module( false ); // $ExpectError + dnanasumors.Module( null ); // $ExpectError + dnanasumors.Module( undefined ); // $ExpectError + dnanasumors.Module( [] ); // $ExpectError + dnanasumors.Module( {} ); // $ExpectError + dnanasumors.Module( ( x: number ): number => x ); // $ExpectError +} + +// The `Module` constructor returns a module instance having a `main` method which returns a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.main( 10, 0, 1 ); // $ExpectType number +} + +// The compiler throws an error if the `main` method of a module instance is provided a first argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.main( '10', 0, 1 ); // $ExpectError + mod.main( true, 0, 1 ); // $ExpectError + mod.main( false, 0, 1 ); // $ExpectError + mod.main( null, 0, 1 ); // $ExpectError + mod.main( undefined, 0, 1 ); // $ExpectError + mod.main( [], 0, 1 ); // $ExpectError + mod.main( {}, 0, 1 ); // $ExpectError + mod.main( ( x: number ): number => x, 0, 1 ); // $ExpectError +} + +// The compiler throws an error if the `main` method of a module instance is provided a second argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.main( 10, '10', 1 ); // $ExpectError + mod.main( 10, true, 1 ); // $ExpectError + mod.main( 10, false, 1 ); // $ExpectError + mod.main( 10, null, 1 ); // $ExpectError + mod.main( 10, undefined, 1 ); // $ExpectError + mod.main( 10, [], 1 ); // $ExpectError + mod.main( 10, {}, 1 ); // $ExpectError + mod.main( 10, ( x: number ): number => x, 1 ); // $ExpectError +} + +// The compiler throws an error if the `main` method of a module instance is provided a third argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.main( 10, 0, '10' ); // $ExpectError + mod.main( 10, 0, true ); // $ExpectError + mod.main( 10, 0, false ); // $ExpectError + mod.main( 10, 0, null ); // $ExpectError + mod.main( 10, 0, undefined ); // $ExpectError + mod.main( 10, 0, [] ); // $ExpectError + mod.main( 10, 0, {} ); // $ExpectError + mod.main( 10, 0, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the `main` method of a module instance is provided an unsupported number of arguments... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.main(); // $ExpectError + mod.main( 10 ); // $ExpectError + mod.main( 10, 0 ); // $ExpectError + mod.main( 10, 0, 1, 2 ); // $ExpectError +} + +// The `Module` constructor returns a module instance having an `ndarray` method which returns a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray( 10, 0, 1, 0 ); // $ExpectType number +} + +// The compiler throws an error if the `ndarray` method of a module instance is provided a first argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray( '10', 0, 1, 0 ); // $ExpectError + mod.ndarray( true, 0, 1, 0 ); // $ExpectError + mod.ndarray( false, 0, 1, 0 ); // $ExpectError + mod.ndarray( null, 0, 1, 0 ); // $ExpectError + mod.ndarray( undefined, 0, 1, 0 ); // $ExpectError + mod.ndarray( [], 0, 1, 0 ); // $ExpectError + mod.ndarray( {}, 0, 1, 0 ); // $ExpectError + mod.ndarray( ( x: number ): number => x, 0, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method of a module instance is provided a second argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray( 10, '10', 1, 0 ); // $ExpectError + mod.ndarray( 10, true, 1, 0 ); // $ExpectError + mod.ndarray( 10, false, 1, 0 ); // $ExpectError + mod.ndarray( 10, null, 1, 0 ); // $ExpectError + mod.ndarray( 10, undefined, 1, 0 ); // $ExpectError + mod.ndarray( 10, [], 1, 0 ); // $ExpectError + mod.ndarray( 10, {}, 1, 0 ); // $ExpectError + mod.ndarray( 10, ( x: number ): number => x, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method of a module instance is provided a third argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray( 10, 0, '10', 0 ); // $ExpectError + mod.ndarray( 10, 0, true, 0 ); // $ExpectError + mod.ndarray( 10, 0, false, 0 ); // $ExpectError + mod.ndarray( 10, 0, null, 0 ); // $ExpectError + mod.ndarray( 10, 0, undefined, 0 ); // $ExpectError + mod.ndarray( 10, 0, [], 0 ); // $ExpectError + mod.ndarray( 10, 0, {}, 0 ); // $ExpectError + mod.ndarray( 10, 0, ( x: number ): number => x, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method of a module instance is provided a fourth argument which is not a number... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray( 10, 0, 1, '10' ); // $ExpectError + mod.ndarray( 10, 0, 1, true ); // $ExpectError + mod.ndarray( 10, 0, 1, false ); // $ExpectError + mod.ndarray( 10, 0, 1, null ); // $ExpectError + mod.ndarray( 10, 0, 1, undefined ); // $ExpectError + mod.ndarray( 10, 0, 1, [] ); // $ExpectError + mod.ndarray( 10, 0, 1, {} ); // $ExpectError + mod.ndarray( 10, 0, 1, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method of a module instance is provided an unsupported number of arguments... +{ + const mem = new Memory({ + 'initial': 1 + }); + const mod = dnanasumors.Module( mem ); + + mod.ndarray(); // $ExpectError + mod.ndarray( 10 ); // $ExpectError + mod.ndarray( 10, 0 ); // $ExpectError + mod.ndarray( 10, 0, 1 ); // $ExpectError + mod.ndarray( 10, 0, 1, 0, 3 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/index.js new file mode 100644 index 000000000000..b8289ff155bd --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/index.js @@ -0,0 +1,43 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var oneTo = require( '@stdlib/array/one-to' ); +var dnanasumors = require( './../lib' ); + +function main() { + if ( !hasWebAssemblySupport() ) { + console.error( 'Environment does not support WebAssembly.' ); + return; + } + // Specify a vector length: + var N = 3; + + // Create an input array: + var x = oneTo( N, 'float64' ); + + // Perform computation: + var v = dnanasumors.ndarray( N, x, 1, 0 ); + + // Print the result: + console.log( v ); +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/little_endian_arrays.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/little_endian_arrays.js new file mode 100644 index 000000000000..38bdeaa70108 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/little_endian_arrays.js @@ -0,0 +1,65 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var Memory = require( '@stdlib/wasm/memory' ); +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var gfillBy = require( '@stdlib/blas/ext/base/gfill-by' ); +var Float64ArrayLE = require( '@stdlib/array/little-endian-float64' ); +var dnanasumors = require( './../lib' ); + +function main() { + if ( !hasWebAssemblySupport() ) { + console.error( 'Environment does not support WebAssembly.' ); + return; + } + // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + var mem = new Memory({ + 'initial': 10, + 'maximum': 100 + }); + + // Create a BLAS routine: + var mod = new dnanasumors.Module( mem ); + // returns + + // Initialize the routine: + mod.initializeSync(); // eslint-disable-line node/no-sync + + // Specify a vector length: + var N = 3; + + // Define a pointer (i.e., byte offset) for storing the input vector: + var xptr = 0; + + // Create a typed array view over module memory: + var x = new Float64ArrayLE( mod.memory.buffer, xptr, N ); + + // Write values to module memory: + gfillBy( N, x, 1, discreteUniform( -10.0, 10.0 ) ); + + // Perform computation: + var v = mod.ndarray( N, xptr, 1, 0 ); + + // Print the result: + console.log( v ); +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/module.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/module.js new file mode 100644 index 000000000000..5e8da108199b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/examples/module.js @@ -0,0 +1,63 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +var hasWebAssemblySupport = require( '@stdlib/assert/has-wasm-support' ); +var Memory = require( '@stdlib/wasm/memory' ); +var oneTo = require( '@stdlib/array/one-to' ); +var dnanasumors = require( './../lib' ); + +function main() { + if ( !hasWebAssemblySupport() ) { + console.error( 'Environment does not support WebAssembly.' ); + return; + } + // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): + var mem = new Memory({ + 'initial': 10, + 'maximum': 100 + }); + + // Create a BLAS routine: + var mod = new dnanasumors.Module( mem ); + // returns + + // Initialize the routine: + mod.initializeSync(); // eslint-disable-line node/no-sync + + // Define a vector data type: + var dtype = 'float64'; + + // Specify a vector length: + var N = 3; + + // Define a pointer (i.e., byte offset) for storing the input vector: + var xptr = 0; + + // Write vector values to module memory: + mod.write( xptr, oneTo( N, dtype ) ); + + // Perform computation: + var v = mod.ndarray( N, xptr, 1, 0 ); + + // Print the result: + console.log( v ); +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.browser.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.browser.js new file mode 100644 index 000000000000..1998290e9693 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.browser.js @@ -0,0 +1,33 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var base64ToUint8Array = require( '@stdlib/string/base/base64-to-uint8array' ); + + +// MAIN // + +var wasm = base64ToUint8Array( 'AGFzbQEAAAAADwhkeWxpbmsuMAEEAAAAAAETA2AAAGADf39/AXxgBH9/f38BfAIPAQNlbnYGbWVtb3J5AgAAAwQDAAECB1cDEV9fd2FzbV9jYWxsX2N0b3JzAAAac3RkbGliX3N0cmlkZWRfZG5hbmFzdW1vcnMAASJzdGRsaWJfc3RyaWRlZF9kbmFuYXN1bW9yc19uZGFycmF5AAIKlgEDAwABCxoAIAAgASACQQEgAGsgAmxBACACQQBMGxACC3UCAXwBfwJAIABBAEwNAAJAIAIEQANAIAAgBUYNAiAEIAQgASADQQN0aisDACIEmaAgBCAEYhshBCAFQQFqIQUgAiADaiEDDAALAAsgASADQQN0aisDACIEIARiDQEgBJkgALiiIQQLIAQPC0QAAAAAAAAAAAs=' ); + + +// EXPORTS // + +module.exports = wasm; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.js new file mode 100644 index 000000000000..2b83fe651780 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/binary.js @@ -0,0 +1,34 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var readWASM = require( '@stdlib/fs/read-wasm' ).sync; + + +// MAIN // + +var wasm = readWASM( resolve( __dirname, '..', 'src', 'main.wasm' ) ); + + +// EXPORTS // + +module.exports = wasm; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/index.js new file mode 100644 index 000000000000..9644fa3d747b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/index.js @@ -0,0 +1,100 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +/** +* WebAssembly routine to compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. +* +* @module @stdlib/blas/ext/base/wasm/dnanasumors +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' ); +* +* // Define a strided array: +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.main( x.length, x, 1 ); +* // returns 5.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' ); +* +* // Define a strided array: +* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.ndarray( 4, x, 2, 1 ); +* // returns 9.0 +* +* @example +* var Memory = require( '@stdlib/wasm/memory' ); +* var oneTo = require( '@stdlib/array/one-to' ); +* var zeros = require( '@stdlib/array/zeros' ); +* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' ); +* +* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +* var mem = new Memory({ +* 'initial': 10, +* 'maximum': 100 +* }); +* +* // Create a BLAS routine: +* var mod = new dnanasumors.Module( mem ); +* // returns +* +* // Initialize the routine: +* mod.initializeSync(); +* +* // Define a vector data type: +* var dtype = 'float64'; +* +* // Specify a vector length: +* var N = 3; +* +* // Define a pointer (i.e., byte offset) for storing the input vector: +* var xptr = 0; +* +* // Write vector values to module memory: +* mod.write( xptr, oneTo( N, dtype ) ); +* +* // Perform computation: +* var v = mod.main( N, xptr, 1 ); +* // returns 6.0 +*/ + +// MODULES // + +var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); +var main = require( './main.js' ); +var Module = require( './module.js' ); + + +// MAIN // + +setReadOnly( main, 'Module', Module ); + + +// EXPORTS // + +module.exports = main; + +// exports: { "Module": "main.Module" } diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/main.js new file mode 100644 index 000000000000..4f6dce72e25e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/main.js @@ -0,0 +1,60 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var Routine = require( './routine.js' ); + + +// MAIN // + +/** +* WebAssembly routine to compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. +* +* @name dnanasumors +* @type {Routine} +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Define a strided array: +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.main( 4, x, 1 ); +* // returns 5.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Define a strided array: +* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.ndarray( 4, x, 2, 1 ); +* // returns 9.0 +*/ +var dnanasumors = new Routine(); +dnanasumors.initializeSync(); // eslint-disable-line node/no-sync + + +// EXPORTS // + +module.exports = dnanasumors; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/module.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/module.js new file mode 100644 index 000000000000..cddb5a591cf5 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/module.js @@ -0,0 +1,198 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +/* eslint-disable no-restricted-syntax, no-invalid-this */ + +'use strict'; + +// MODULES // + +var isWebAssemblyMemory = require( '@stdlib/assert/is-wasm-memory' ); +var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); +var inherits = require( '@stdlib/utils/inherit' ); +var WasmModule = require( '@stdlib/wasm/module-wrapper' ); +var format = require( '@stdlib/string/format' ); +var wasmBinary = require( './binary.js' ); + + +// MAIN // + +/** +* BLAS routine WebAssembly module wrapper constructor. +* +* @constructor +* @param {Object} memory - WebAssembly memory instance +* @throws {TypeError} must provide a WebAssembly memory instance +* @returns {Module} module instance +* +* @example +* var Memory = require( '@stdlib/wasm/memory' ); +* var oneTo = require( '@stdlib/array/one-to' ); +* +* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +* var mem = new Memory({ +* 'initial': 10, +* 'maximum': 100 +* }); +* +* // Create a BLAS routine: +* var dnanasumors = new Module( mem ); +* // returns +* +* // Initialize the routine: +* dnanasumors.initializeSync(); +* +* // Define a vector data type: +* var dtype = 'float64'; +* +* // Specify a vector length: +* var N = 3; +* +* // Define a pointer (i.e., byte offset) for storing the input vector: +* var xptr = 0; +* +* // Write vector values to module memory: +* dnanasumors.write( xptr, oneTo( N, dtype ) ); +* +* // Perform computation: +* var v = dnanasumors.main( N, xptr, 1 ); +* // returns 6.0 +*/ +function Module( memory ) { + if ( !( this instanceof Module ) ) { + return new Module( memory ); + } + if ( !isWebAssemblyMemory( memory ) ) { + throw new TypeError( format( 'invalid argument. Must provide a WebAssembly memory instance. Value: `%s`.', memory ) ); + } + // Call the parent constructor: + WasmModule.call( this, wasmBinary, memory, { + 'env': { + 'memory': memory + } + }); + + return this; +} + +// Inherit from the parent constructor: +inherits( Module, WasmModule ); + +/** +* Compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. +* +* @name main +* @memberof Module.prototype +* @readonly +* @type {Function} +* @param {PositiveInteger} N - number of indexed elements +* @param {NonNegativeInteger} xptr - input array pointer (i.e., byte offset) +* @param {integer} strideX - stride length +* @returns {number} sum +* +* @example +* var Memory = require( '@stdlib/wasm/memory' ); +* var oneTo = require( '@stdlib/array/one-to' ); +* +* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +* var mem = new Memory({ +* 'initial': 10, +* 'maximum': 100 +* }); +* +* // Create a BLAS routine: +* var dnanasumors = new Module( mem ); +* // returns +* +* // Initialize the routine: +* dnanasumors.initializeSync(); +* +* // Define a vector data type: +* var dtype = 'float64'; +* +* // Specify a vector length: +* var N = 3; +* +* // Define a pointer (i.e., byte offset) for storing the input vector: +* var xptr = 0; +* +* // Write vector values to module memory: +* dnanasumors.write( xptr, oneTo( N, dtype ) ); +* +* // Perform computation: +* var v = dnanasumors.main( N, xptr, 1 ); +* // returns 6.0 +*/ +setReadOnly( Module.prototype, 'main', function dnanasumors( N, xptr, strideX ) { + return this._instance.exports.stdlib_strided_dnanasumors( N, xptr, strideX ); // eslint-disable-line max-len +}); + +/** +* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. +* +* @name ndarray +* @memberof Module.prototype +* @readonly +* @type {Function} +* @param {PositiveInteger} N - number of indexed elements +* @param {NonNegativeInteger} xptr - input array pointer (i.e., byte offset) +* @param {integer} strideX - stride length +* @param {NonNegativeInteger} offsetX - starting index +* @returns {number} sum +* +* @example +* var Memory = require( '@stdlib/wasm/memory' ); +* var oneTo = require( '@stdlib/array/one-to' ); +* +* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB): +* var mem = new Memory({ +* 'initial': 10, +* 'maximum': 100 +* }); +* +* // Create a BLAS routine: +* var dnanasumors = new Module( mem ); +* // returns +* +* // Initialize the routine: +* dnanasumors.initializeSync(); +* +* // Define a vector data type: +* var dtype = 'float64'; +* +* // Specify a vector length: +* var N = 3; +* +* // Define a pointer (i.e., byte offset) for storing the input vector: +* var xptr = 0; +* +* // Write vector values to module memory: +* dnanasumors.write( xptr, oneTo( N, dtype ) ); +* +* // Perform computation: +* var v = dnanasumors.ndarray( N, xptr, 1, 0 ); +* // returns 6.0 +*/ +setReadOnly( Module.prototype, 'ndarray', function dnanasumors( N, xptr, strideX, offsetX ) { + return this._instance.exports.stdlib_strided_dnanasumors_ndarray( N, xptr, strideX, offsetX ); // eslint-disable-line max-len +}); + + +// EXPORTS // + +module.exports = Module; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/routine.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/routine.js new file mode 100644 index 000000000000..db2b83573c0e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/lib/routine.js @@ -0,0 +1,166 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +/* eslint-disable max-len, no-restricted-syntax, no-invalid-this */ + +'use strict'; + +// MODULES // + +var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); +var inherits = require( '@stdlib/utils/inherit' ); +var stride2offset = require( '@stdlib/strided/base/stride2offset' ); +var Memory = require( '@stdlib/wasm/memory' ); +var arrays2ptrs = require( '@stdlib/wasm/base/arrays2ptrs' ); +var strided2object = require( '@stdlib/wasm/base/strided2object' ); +var Module = require( './module.js' ); + + +// MAIN // + +/** +* Routine constructor. +* +* @private +* @constructor +* @returns {Routine} routine instance +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Create a new routine: +* var dnanasumors = new Routine(); +* +* // Initialize the module: +* dnanasumors.initializeSync(); +* +* // Define a strided array: +* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.main( 4, x, 1 ); +* // returns 5.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Create a new routine: +* var dnanasumors = new Routine(); +* +* // Initialize the module: +* dnanasumors.initializeSync(); +* +* // Define a strided array: +* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.ndarray( 4, x, 2, 1 ); +* // returns 9.0 +*/ +function Routine() { + if ( !( this instanceof Routine ) ) { + return new Routine(); + } + Module.call( this, new Memory({ + 'initial': 0 + })); + return this; +} + +// Inherit from the parent constructor: +inherits( Routine, Module ); + +/** +* Compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. +* +* @name main +* @memberof Routine.prototype +* @readonly +* @type {Function} +* @param {PositiveInteger} N - number of indexed elements +* @param {Float64Array} x - input array +* @param {integer} strideX - stride length +* @returns {number} sum +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Create a new routine: +* var dnanasumors = new Routine(); +* +* // Initialize the module: +* dnanasumors.initializeSync(); +* +* // Define a strided array: +* var x = new Float64Array( [ 1.0, NaN, -2.0, 2.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.main( 4, x, 1 ); +* // returns 5.0 +*/ +setReadOnly( Routine.prototype, 'main', function dnanasumors( N, x, strideX ) { + return this.ndarray( N, x, strideX, stride2offset( N, strideX ) ); +}); + +/** +* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics. +* +* @name ndarray +* @memberof Routine.prototype +* @readonly +* @type {Function} +* @param {PositiveInteger} N - number of indexed elements +* @param {Float64Array} x - input array +* @param {integer} strideX - stride length +* @param {NonNegativeInteger} offsetX - starting index +* @returns {number} sum +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // Create a new routine: +* var dnanasumors = new Routine(); +* +* // Initialize the module: +* dnanasumors.initializeSync(); +* +* // Define a strided array: +* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); +* +* // Perform operation: +* var v = dnanasumors.ndarray( 4, x, 2, 1 ); +* // returns 9.0 +*/ +setReadOnly( Routine.prototype, 'ndarray', function dnanasumors( N, x, strideX, offsetX ) { + var ptrs; + var p0; + + // Convert the input arrays to "pointers" in the module's memory: + ptrs = arrays2ptrs( this, [ + strided2object( N, x, strideX, offsetX ) + ]); + p0 = ptrs[ 0 ]; + + // Perform computation by calling the corresponding parent method: + return Module.prototype.ndarray.call( this, N, p0.ptr, p0.stride, p0.offset ); +}); + + +// EXPORTS // + +module.exports = Routine; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/manifest.json new file mode 100644 index 000000000000..40444106bf91 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/manifest.json @@ -0,0 +1,36 @@ +{ + "options": {}, + "fields": [ + { + "field": "src", + "resolve": true, + "relative": true + }, + { + "field": "include", + "resolve": true, + "relative": true + }, + { + "field": "libraries", + "resolve": false, + "relative": false + }, + { + "field": "libpath", + "resolve": true, + "relative": false + } + ], + "confs": [ + { + "src": [], + "include": [], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/ext/base/dnanasumors" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/package.json b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/package.json new file mode 100644 index 000000000000..d7ff05cb4365 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/package.json @@ -0,0 +1,89 @@ +{ + "name": "@stdlib/blas/ext/base/wasm/dnanasumors", + "version": "0.0.0", + "description": "Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "browser": { + "./lib/binary.js": "./lib/binary.browser.js" + }, + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "scripts": "./scripts", + "src": "./src", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "statistics", + "stats", + "mathematics", + "math", + "blas", + "extended", + "sum", + "total", + "summation", + "absolute", + "abs", + "norm", + "l1-norm", + "l1norm", + "manhattan", + "taxicab", + "ors", + "strided", + "strided array", + "typed", + "array", + "float64", + "double", + "float64array", + "webassembly", + "wasm" + ], + "__stdlib__": { + "wasm": true + } +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/build.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/build.js new file mode 100644 index 000000000000..66bf9650b6d6 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/build.js @@ -0,0 +1,66 @@ +#!/usr/bin/env node + +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var readFile = require( '@stdlib/fs/read-file' ).sync; +var writeFile = require( '@stdlib/fs/write-file' ).sync; +var replace = require( '@stdlib/string/replace' ); +var currentYear = require( '@stdlib/time/current-year' ); + + +// VARIABLES // + +var wpath = resolve( __dirname, '..', 'src', 'main.wasm' ); +var tpath = resolve( __dirname, 'template.txt' ); +var opath = resolve( __dirname, '..', 'lib', 'binary.browser.js' ); + +var opts = { + 'encoding': 'utf8' +}; + +var PLACEHOLDER = '{{WASM_BASE64}}'; +var YEAR = '{{YEAR}}'; + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var wasm; + var tmpl; + + wasm = readFile( wpath ); + tmpl = readFile( tpath, opts ); + + tmpl = replace( tmpl, YEAR, currentYear().toString() ); + tmpl = replace( tmpl, PLACEHOLDER, wasm.toString( 'base64' ) ); + + writeFile( opath, tmpl, opts ); +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/template.txt b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/template.txt new file mode 100644 index 000000000000..f66cdb9735b1 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/scripts/template.txt @@ -0,0 +1,33 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) {{YEAR}} 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. +*/ + +'use strict'; + +// MODULES // + +var base64ToUint8Array = require( '@stdlib/string/base/base64-to-uint8array' ); + + +// MAIN // + +var wasm = base64ToUint8Array( '{{WASM_BASE64}}' ); + + +// EXPORTS // + +module.exports = wasm; diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/Makefile b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/Makefile new file mode 100644 index 000000000000..1b1f35347760 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/Makefile @@ -0,0 +1,243 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2025 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. +#/ + +#/ +# To compile targets listed in this Makefile, use top-level project `make` +# commands rather than commands listed in this Makefile. The top-level project +# `make` commands will ensure that various environment variables and flags are +# appropriately set. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files to WebAssembly: +ifdef EMCC_COMPILER + EMCC := $(EMCC_COMPILER) +else + EMCC := emcc +endif + +# Define the program used for compiling WebAssembly files to the WebAssembly text format: +ifdef WASM2WAT + WASM_TO_WAT := $(WASM2WAT) +else + WASM_TO_WAT := wasm2wat +endif + +# Define the program used for compiling WebAssembly files to JavaScript: +ifdef WASM2JS + WASM_TO_JS := $(WASM2JS) +else + WASM_TO_JS := wasm2js +endif + +# Define the path to the Node.js executable: +ifdef NODE + NODEJS := $(NODE) +else + NODEJS := node +endif + +# Define the integer size: +ifdef CBLAS_INT + INT_TYPE := $(CBLAS_INT) +else + INT_TYPE := int32_t +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -flto \ + -Wall \ + -pedantic \ + -D CBLAS_INT=$(INT_TYPE) + +# Define the command-line options when compiling C files to WebAssembly and asm.js: +EMCCFLAGS ?= $(CFLAGS) + +# Define shared `emcc` flags: +EMCC_SHARED_FLAGS := \ + -Oz \ + -fwasm-exceptions \ + -s SUPPORT_LONGJMP=1 \ + -s SIDE_MODULE=2 \ + -s EXPORTED_FUNCTIONS="$(shell cat exports.json | tr -d ' \t\n' | sed s/\"/\'/g)" + +# Define WebAssembly `emcc` flags: +EMCC_WASM_FLAGS := $(EMCC_SHARED_FLAGS) \ + -s WASM=1 \ + -s WASM_BIGINT=0 + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of WebAssembly targets: +wasm_targets := main.wasm + +# List of WebAssembly WAT targets: +wat_targets := main.wat + +# List of WebAssembly JavaScript targets: +wasm_js_targets := main.wasm.js + +# List of other JavaScript targets: +browser_js_targets := ./../lib/binary.browser.js + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [EMCC_COMPILER] - EMCC compiler (e.g., `emcc`) +# @param {string} [EMCCFLAGS] - EMCC compiler options +# @param {string} [WASM2WAT] - WebAssembly text format compiler (e.g., `wasm2wat`) +# @param {string} [WASM2JS] - WebAssembly JavaScript compiler (e.g., `wasm2js`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: wasm + +.PHONY: all + +#/ +# Compiles source files to WebAssembly. +# +# @param {string} [EMCC_COMPILER] - EMCC compiler (e.g., `emcc`) +# @param {string} [EMCCFLAGS] - EMCC compiler options +# @param {string} [WASM2WAT] - WebAssembly text format compiler (e.g., `wasm2wat`) +# @param {string} [WASM2JS] - WebAssembly JavaScript compiler (e.g., `wasm2js`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make wasm +#/ +wasm: $(wasm_targets) $(wat_targets) $(browser_js_targets) + +.PHONY: wasm + +#/ +# Compiles C source files to WebAssembly binaries. +# +# @private +# @param {string} EMCC - EMCC compiler (e.g., `emcc`) +# @param {string} EMCCFLAGS - EMCC compiler options +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(wasm_targets): + $(QUIET) $(EMCC) $(EMCCFLAGS) $(EMCC_WASM_FLAGS) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) $(LIBRARIES) + +#/ +# Compiles WebAssembly binary files to the WebAssembly text format. +# +# @private +# @param {string} WASM2WAT - WAT compiler (e.g., `wasm2wat`) +#/ +$(wat_targets): %.wat: %.wasm + $(QUIET) $(WASM_TO_WAT) -o $@ $(wasm_targets) + +#/ +# Compiles WebAssembly binary files to JavaScript. +# +# @private +# @param {string} WASM2JS - JavaScript compiler (e.g., `wasm2js`) +#/ +$(wasm_js_targets): %.wasm.js: %.wasm + $(QUIET) $(WASM_TO_JS) -o $@ $(wasm_targets) + +#/ +# Generates an inline WebAssembly build for use in bundlers. +# +# @private +# @param {string} NODE - Node.js executable +#/ +$(browser_js_targets): $(wasm_targets) + $(QUIET) $(NODEJS) ./../scripts/build.js + +#/ +# Removes generated WebAssembly files. +# +# @example +# make clean-wasm +#/ +clean-wasm: + $(QUIET) -rm -f *.wasm *.wat *.wasm.js $(browser_js_targets) + +.PHONY: clean-wasm + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: clean-wasm + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/exports.json b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/exports.json new file mode 100644 index 000000000000..1b9cbd804e90 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/exports.json @@ -0,0 +1,4 @@ +[ + "_stdlib_strided_dnanasumors", + "_stdlib_strided_dnanasumors_ndarray" +] diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/main.wasm b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/src/main.wasm new file mode 100755 index 0000000000000000000000000000000000000000..352ec56115a5641d77915198451c56a00ac1efc7 GIT binary patch literal 311 zcmZ`y%}T>S5T2i{iff4Ct-VZo6~sqqKs4dNSdUOO_e|)Zz1$1K826x6ufxo z%;Ec)Z)U*97C|e$3S(1s+s7v~Cyn=902Dk;6CMhqphzil*}Y%1WxMM~0${^{bos`2 z&VA@9xA9HmHp8xu0P{G6rdqo=^i?Q>3!U$L-0NxtT%I4gF8IFpBhd9HvOchL5D*l~ zQD7_7 Date: Mon, 17 Mar 2025 07:56:03 +0000 Subject: [PATCH 2/5] chore: update copyright years --- .../@stdlib/blas/ext/base/wasm/dnanasumors/test/test.main.js | 2 +- .../@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.main.js index 81e4bd121d22..6042c0f931fc 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.main.js +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.main.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* Copyright (c) 2025 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. diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js index 9cb3248358cd..6118068fdd21 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.ndarray.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* Copyright (c) 2025 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. From 166027538d78502e3a3e1deb60d4c4d6eaf9af6e Mon Sep 17 00:00:00 2001 From: Athan Date: Tue, 29 Apr 2025 17:34:09 -0700 Subject: [PATCH 3/5] docs: fix example Signed-off-by: Athan --- .../blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts index 23b55a08e5c4..bf336a0a7c1c 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/docs/types/index.d.ts @@ -216,7 +216,7 @@ interface Routine extends ModuleWrapper { * @example * var Float64Array = require( '@stdlib/array/float64' ); * - * var x = new Float64Array( [ 1.0, -2.0, NaN 2.0 ] ); + * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); * * var out = dnanasumors.main( 4, x, 1 ); * // returns 1.0 From 1a08cb595247dcb1106811ab490e87c0bd05ebd5 Mon Sep 17 00:00:00 2001 From: Athan Date: Tue, 29 Apr 2025 17:38:47 -0700 Subject: [PATCH 4/5] test: fix test description Signed-off-by: Athan --- .../blas/ext/base/wasm/dnanasumors/test/test.module.main.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.main.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.main.js index 7d9d1f800d89..5dad2be3a7f4 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.main.js +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.main.js @@ -211,7 +211,7 @@ tape( 'a module instance has a `main` method which returns the sum of the first t.end(); }); -tape( 'if provided a `stride` parameter equal to `0` and the first element, a module instance has a `main` method which returns 0', function test( t ) { +tape( 'if provided a `stride` parameter equal to `0` and the first element is `NaN`, a module instance has a `main` method which returns 0', function test( t ) { var mem; var mod; var xp; From 035ec37130a3a05b7cd76a1b1f3e1a5205176a79 Mon Sep 17 00:00:00 2001 From: Athan Date: Tue, 29 Apr 2025 17:40:25 -0700 Subject: [PATCH 5/5] test: fix test description Signed-off-by: Athan --- .../blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js index 24f889eba6ef..48a2b249a57d 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js +++ b/lib/node_modules/@stdlib/blas/ext/base/wasm/dnanasumors/test/test.module.ndarray.js @@ -211,7 +211,7 @@ tape( 'if provided a `stride` parameter equal to `0`, a module instance has an ` t.end(); }); -tape( 'if provided a `stride` parameter equal to `0`, a module instance has an `ndarray` method which returns the first element is NaN, the function returns 0', function test( t ) { +tape( 'if provided a `stride` parameter equal to `0` and the first element is `NaN`, a module instance has an `ndarray` method which returns 0', function test( t ) { var mem; var mod; var xp;