test: add main and ndarray method tests

Author: kgryte

lib/node_modules/@stdlib/blas/base/daxpy-wasm/test/test.js

@@ -42,4 +42,7 @@ tape( 'attached to the main export is an `ndarray` method', function test( t ) {
 	t.end();
 });
 
-// TODO: add tests
+tape( 'attached to the main export is a `Module` constructor', function test( t ) {
+	t.strictEqual( typeof daxpy.Module, 'function', 'returns expected value' );
+	t.end();
+});

lib/node_modules/@stdlib/blas/base/daxpy-wasm/test/test.main.js

@@ -0,0 +1,284 @@
+/**
+* @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';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var daxpy = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is an object', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof daxpy, 'object', 'main export is an object' );
+	t.end();
+});
+
+tape( 'the `main` method has an arity of 6', function test( t ) {
+	t.strictEqual( daxpy.main.length, 6, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method multiplies `x` by a constant and adds the result to `y`', function test( t ) {
+	var expected;
+	var alpha;
+	var x;
+	var y;
+
+	alpha = 2.0;
+	x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	y = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+	expected = new Float64Array( [ 3.0, 5.0, 7.0, 9.0, 11.0 ] );
+
+	daxpy.main( x.length, alpha, x, 1, y, 1 );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+
+	// Short datasets:
+	x = new Float64Array( [ 1.0, 2.0 ] );
+	y = new Float64Array( [ 1.0, 1.0 ] );
+
+	expected = new Float64Array( [ 3.0, 5.0 ] );
+
+	daxpy.main( x.length, alpha, x, 1, y, 1 );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the `main` method efficiently handles the case where `alpha` is `0`', function test( t ) {
+	var expected;
+	var alpha;
+	var x;
+	var y;
+
+	x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	y = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+	alpha = 0.0;
+
+	expected = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+	daxpy.main( x.length, alpha, x, 1, y, 1 );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports an `x` stride', function test( t ) {
+	var expected;
+	var x;
+	var y;
+	var N;
+
+	x = new Float64Array([
+		1.0, // 0
+		2.0,
+		3.0, // 1
+		4.0,
+		5.0  // 2
+	]);
+	y = new Float64Array([
+		1.0, // 0
+		1.0, // 1
+		1.0, // 2
+		1.0,
+		1.0
+	]);
+	N = 3;
+
+	daxpy.main( N, 2.0, x, 2, y, 1 );
+
+	expected = new Float64Array( [ 3.0, 7.0, 11.0, 1.0, 1.0 ] );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports a `y` stride', function test( t ) {
+	var expected;
+	var x;
+	var y;
+	var N;
+
+	x = new Float64Array([
+		1.0, // 0
+		2.0, // 1
+		3.0, // 2
+		4.0,
+		5.0
+	]);
+	y = new Float64Array([
+		1.0, // 0
+		1.0,
+		1.0, // 1
+		1.0,
+		1.0  // 2
+	]);
+	N = 3;
+
+	daxpy.main( N, 2.0, x, 1, y, 2 );
+
+	expected = new Float64Array( [ 3.0, 1.0, 5.0, 1.0, 7.0 ] );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method returns a reference to the output array', function test( t ) {
+	var out;
+	var x;
+	var y;
+
+	x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	y = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+
+	out = daxpy.main( x.length, 3.0, x, 1, y, 1 );
+
+	t.strictEqual( out, y, 'same reference' );
+	t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the `main` method returns the output array unchanged', function test( t ) {
+	var expected;
+	var x;
+	var y;
+
+	x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	y = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+
+	expected = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+
+	daxpy.main( -1, 3.0, x, 1, y, 1 );
+	t.deepEqual( y, expected, 'returns expected value' );
+
+	daxpy.main( 0, 3.0, x, 1, y, 1 );
+	t.deepEqual( y, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the `main` method supports negative strides', function test( t ) {
+	var expected;
+	var x;
+	var y;
+	var N;
+
+	x = new Float64Array([
+		1.0, // 2
+		2.0,
+		3.0, // 1
+		4.0,
+		5.0  // 0
+	]);
+	y = new Float64Array([
+		6.0, // 2
+		7.0, // 1
+		8.0, // 0
+		9.0,
+		10.0
+	]);
+	N = 3;
+
+	daxpy.main( N, 3.0, x, -2, y, -1 );
+
+	expected = new Float64Array( [ 9.0, 16.0, 23.0, 9.0, 10.0 ] );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports complex access patterns', function test( t ) {
+	var expected;
+	var x;
+	var y;
+	var N;
+
+	x = new Float64Array([
+		1.0, // 0
+		2.0,
+		3.0, // 1
+		4.0,
+		5.0, // 2
+		6.0
+	]);
+	y = new Float64Array([
+		7.0,  // 2
+		8.0,  // 1
+		9.0,  // 0
+		10.0,
+		11.0,
+		12.0
+	]);
+	N = 3;
+
+	daxpy.main( N, 3.0, x, 2, y, -1 );
+
+	expected = new Float64Array( [ 22.0, 17.0, 12.0, 10.0, 11.0, 12.0 ] );
+
+	t.deepEqual( y, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports view offsets', function test( t ) {
+	var expected;
+	var x0;
+	var y0;
+	var x1;
+	var y1;
+
+	// Initial arrays...
+	x0 = new Float64Array([
+		1.0,
+		2.0, // 2
+		3.0,
+		4.0, // 1
+		5.0,
+		6.0  // 0
+	]);
+	y0 = new Float64Array([
+		7.0,
+		8.0,
+		9.0,
+		10.0, // 0
+		11.0, // 1
+		12.0  // 2
+	]);
+
+	// Create offset views...
+	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // begin at 2nd element
+	y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // begin at the 4th element
+
+	daxpy.main( 3, 3.0, x1, -2, y1, 1 );
+	expected = new Float64Array([
+		7.0,
+		8.0,
+		9.0,
+		28.0,
+		23.0,
+		18.0
+	]);
+
+	t.deepEqual( y0, expected, 'returns expected value' );
+	t.end();
+});