feat: add initial wasm implementation for dasumpw

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---

Author: aayush0325

lib/node_modules/@stdlib/blas/ext/base/wasm/dasumpw/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;

lib/node_modules/@stdlib/blas/ext/base/wasm/dasumpw/lib/index.js

@@ -0,0 +1,100 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
+*
+* @module @stdlib/blas/ext/base/wasm/dasumpw
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dasumpw = require( '@stdlib/blas/ext/base/wasm/dasumpw' );
+*
+* // Define a strided array:
+* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+*
+* // Perform operation:
+* var v = dasumpw.main( x.length, x, 1 );
+* // returns 5.0
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dasumpw = require( '@stdlib/blas/ext/base/wasm/dasumpw' );
+*
+* // Define a strided array:
+* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* // Perform operation:
+* var v = dasumpw.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 dasumpw = require( '@stdlib/blas/ext/base/wasm/dasumpw' );
+*
+* // 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 dasumpw.Module( mem );
+* // returns <Module>
+*
+* // 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 sum = 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" }

lib/node_modules/@stdlib/blas/ext/base/wasm/dasumpw/lib/main.js

@@ -0,0 +1,62 @@
+/**
+* @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 calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
+*
+* @name dasumpw
+* @type {Routine}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dasumpw = require( '@stdlib/blas/ext/base/wasm/dasumpw' );
+*
+* // Define a strided array:
+* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+*
+* // Perform operation:
+* var v = dasumpw.main( 3, x, 1 );
+* // returns 5.0
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dasumpw = require( '@stdlib/blas/ext/base/wasm/dasumpw' );
+*
+* // Define a strided array:
+* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* // Perform operation:
+* var v = dasumpw.ndarray( 4, x, 2, 1 );
+* // returns 9.0
+*/
+var dasumpw = new Routine();
+dasumpw.initializeSync(); // eslint-disable-line node/no-sync
+
+
+// EXPORTS //
+
+module.exports = dasumpw;

lib/node_modules/@stdlib/blas/ext/base/wasm/dasumpw/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 dasumpw = new Module( mem );
+* // returns <Module>
+*
+* // Initialize the routine:
+* dasumpw.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:
+* dasumpw.write( xptr, oneTo( N, dtype ) );
+*
+* // Perform computation:
+* var sum = dasumpw.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 );
+
+/**
+* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise 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 dasumpw = new Module( mem );
+* // returns <Module>
+*
+* // Initialize the routine:
+* dasumpw.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:
+* dasumpw.write( xptr, oneTo( N, dtype ) );
+*
+* // Perform computation:
+* var sum = dasumpw.main( N, xptr, 1 );
+* // returns 6.0
+*/
+setReadOnly( Module.prototype, 'main', function dasumpw( N, xptr, strideX ) {
+	return this._instance.exports.stdlib_strided_dasumpw( N, xptr, strideX );
+});
+
+/**
+* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise 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 dasumpw = new Module( mem );
+* // returns <Module>
+*
+* // Initialize the routine:
+* dasumpw.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:
+* dasumpw.write( xptr, oneTo( N, dtype ) );
+*
+* // Perform computation:
+* var sum = dasumpw.ndarray( N, xptr, 1, 0 );
+* // returns 6.0
+*/
+setReadOnly( Module.prototype, 'ndarray', function dasumpw( N, xptr, strideX, offsetX ) {
+	return this._instance.exports.stdlib_strided_dasumpw_ndarray( N, xptr, strideX, offsetX ); // eslint-disable-line max-len
+});
+
+
+// EXPORTS //
+
+module.exports = Module;