added tests and modified package.json

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---

Author: vivekmaurya001

lib/node_modules/@stdlib/blas/ext/base/wasm/dapxsum/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ext/wasm/dapxsum",
   "version": "0.0.0",
-  "description": "Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.",
+  "description": "Add a constant to each double-precision floating-point strided array element and compute the sum.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
@@ -13,9 +13,20 @@
       "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
     }
   ],
+  "main": "./lib",
+  "browser": {
+    "./lib/binary.js": "./lib/binary.browser.js"
+  },
   "directories": {
-    "src": "./src"
+    "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": {

lib/node_modules/@stdlib/blas/ext/base/wasm/dapxsum/test/test.js

@@ -0,0 +1,53 @@
+/**
+* @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 dapxsum = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is an object', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dapxsum, 'object', 'returns expected value' );
+	t.end();
+});
+
+tape( 'attached to the main export is a `main` method', function test( t ) {
+	t.strictEqual( typeof dapxsum.main, 'function', 'returns expected value' );
+	t.end();
+});
+
+tape( 'attached to the main export is an `ndarray` method', function test( t ) {
+	t.strictEqual( typeof dapxsum.ndarray, 'function', 'returns expected value' );
+	t.end();
+});
+
+tape( 'attached to the main export is a `Module` constructor', function test( t ) {
+	t.strictEqual( typeof dapxsum.Module, 'function', 'returns expected value' );
+	t.end();
+});
+
+tape( 'the main export is a `Module` instance', function test( t ) {
+	t.strictEqual( dapxsum instanceof dapxsum.Module, true, 'returns expected value' );
+	t.end();
+});

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

@@ -0,0 +1,172 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dapxsum = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is an object', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dapxsum, 'object', 'main export is an object' );
+	t.end();
+});
+
+tape( 'the `main` method has an arity of 4', function test( t ) {
+	t.strictEqual( dapxsum.main.length, 4, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method adds a constant and calculates the sum of all strided array elements', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0, 0.0, -3.0, 3.0 ] );
+	v = dapxsum.main( x.length, 5.0, x, 1 );
+	t.strictEqual( v, 48.0, 'returns expected value' );
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+	v = dapxsum.main( x.length, 5.0, x, 1 );
+	t.strictEqual( v, 33.0, 'returns expected value' );
+
+	x = new Float64Array( [ -4.0, -4.0 ] );
+	v = dapxsum.main( x.length, 5.0, x, 1 );
+	t.strictEqual( v, 2.0, 'returns expected value' );
+
+	x = new Float64Array( [ NaN, 4.0 ] );
+	v = dapxsum.main( x.length, 5.0, x, 1 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float64Array( [ 1.0, 1e100, 1.0, -1.0e100 ] );
+	v = dapxsum.main( x.length, 5.0, x, 1 );
+	t.strictEqual( v, 12.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the `main` method returns `0.0`', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dapxsum.main( 0, 5.0, x, 1 );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	v = dapxsum.main( -1, 5.0, x, 1 );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the `main` method returns the first element plus a constant', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dapxsum.main( 1, 5.0, x, 1 );
+	t.strictEqual( v, 6.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the `main` method supports a `stride` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dapxsum.main( 4, 5.0, x, 2 );
+
+	t.strictEqual( v, 25.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports a negative `stride` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dapxsum.main( 4, 5.0, x, -2 );
+
+	t.strictEqual( v, 25.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the `main` method returns the first element plus a constant repeated N times', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dapxsum.main( x.length, 5.0, x, 0 );
+
+	t.strictEqual( v, x.length * (x[0]+5.0), 'returns expected value' );
+	t.end();
+});
+
+tape( 'the `main` method supports view offsets', function test( t ) {
+	var x0;
+	var x1;
+	var v;
+
+	x0 = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		6.0
+	]);
+
+	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+	v = dapxsum.main( 4, 5.0, x1, 2 );
+	t.strictEqual( v, 25.0, 'returns expected value' );
+
+	t.end();
+});