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Author: MeKaustubh07

lib/node_modules/@stdlib/blas/base/ndarray/dswap/README.md

@@ -51,6 +51,7 @@ var ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
 var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
 
 var z = dswap( [ x, y ] );
+// x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
 // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
 
 var bool = ( y === z );
@@ -96,6 +97,7 @@ var y = new ndarray( opts.dtype, ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( y ) );
 
 var out = dswap( [ x, y ] );
+console.log( ndarray2array( x ) );
 console.log( ndarray2array( out ) );
 ```
 

lib/node_modules/@stdlib/blas/base/ndarray/dswap/docs/repl.txt

@@ -28,6 +28,8 @@
     > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
 
     > {{alias}}( [ x, y ] );
+    > x
+    <ndarray>[ 0.0, 0.0, 0.0 ]
     > y
     <ndarray>[ 4.0, 2.0, -3.0 ]
 

lib/node_modules/@stdlib/blas/base/ndarray/dswap/docs/types/index.d.ts

@@ -39,6 +39,7 @@ import { float64ndarray } from '@stdlib/types/ndarray';
 * var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
 *
 * var z = dswap( [ x, y ] );
+* // x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
 * // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
 *
 * var bool = ( z === y );

lib/node_modules/@stdlib/blas/base/ndarray/dswap/examples/index.js

@@ -36,4 +36,5 @@ var y = new ndarray( opts.dtype, ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( y ) );
 
 var out = dswap( [ x, y ] );
+console.log( ndarray2array( x ) );
 console.log( ndarray2array( out ) );

lib/node_modules/@stdlib/blas/base/ndarray/dswap/lib/index.js

@@ -35,6 +35,7 @@
 * var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
 *
 * var z = dswap( [ x, y ] );
+* // x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
 * // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
 *
 * var bool = ( z === y );

lib/node_modules/@stdlib/blas/base/ndarray/dswap/lib/main.js

@@ -46,6 +46,7 @@ var strided = require( '@stdlib/blas/base/dswap' ).ndarray;
 * var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
 *
 * var z = dswap( [ x, y ] );
+* // x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
 * // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
 *
 * var bool = ( z === y );

lib/node_modules/@stdlib/blas/base/ndarray/dswap/test/test.js

@@ -73,8 +73,11 @@ tape( 'the function interchanges two one-dimensional ndarrays', function test( t
 
 	v = dswap( [ x, y ] );
 
-	expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	expected = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 
 	xbuf = new Float64Array( [ 1.0, 2.0 ] );
@@ -84,14 +87,17 @@ tape( 'the function interchanges two one-dimensional ndarrays', function test( t
 
 	v = dswap( [ x, y ] );
 
-	expected = new Float64Array( [ 1.0, 2.0 ] );
+	expected = new Float64Array( [ 3.0, 4.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 2.0 ] );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'if provided empty ndarrays, the function returns the output ndarray unchanged', function test( t ) {
+tape( 'if provided empty ndarrays, the function leaves both ndarrays unchanged', function test( t ) {
 	var expected;
 	var xbuf;
 	var ybuf;
@@ -108,6 +114,7 @@ tape( 'if provided empty ndarrays, the function returns the output ndarray uncha
 
 	expected = new Float64Array( [] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 
 	t.end();
@@ -141,8 +148,11 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 
 	v = dswap( [ x, y ] );
 
-	expected = new Float64Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] );
+	expected = new Float64Array( [ 6.0, 2.0, 7.0, 4.0, 8.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });
@@ -175,8 +185,11 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 
 	v = dswap( [ x, y ] );
 
-	expected = new Float64Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] );
+	expected = new Float64Array( [ 6.0, 2.0, 7.0, 4.0, 8.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });
@@ -215,8 +228,11 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 
 	v = dswap( [ x, y ] );
 
-	expected = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 0.0, 0.0 ] );
+	expected = new Float64Array( [ 0.0, 5.0, 0.0, 6.0, 0.0, 7.0, 0.0, 8.0 ] );
 	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( x ), expected ), true, 'returns expected value' );
+
+	expected = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 0.0, 0.0 ] );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });