convert alpha values into simple interger arguements

Author: MeKaustubh07

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

@@ -52,9 +52,9 @@ var x = new ndarray( 'complex64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
 var ybuf = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 var y = new ndarray( 'complex64', ybuf, [ 3 ], [ 1 ], 0, 'row-major' );
 
-var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
+var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), 'complex64', 'row-major' );
 var z = caxpy( [ x, y, alpha ] );
-// returns <ndarray>[ <Complex64>[ ~2.8, ~1.1 ], <Complex64>[ 5.0, ~0.5 ], <Complex64>[ ~7.2, ~-0.1 ] ]
+// returns <ndarray>[ <Complex64>[ -2.0, 5.0 ], <Complex64>[ -4.0, 11.0 ], <Complex64>[ -6.0, 17.0 ] ]
 
 var bool = ( y === z );
 // returns true
@@ -101,7 +101,7 @@ var ybuf = new Complex64Array( discreteUniform( xbuf.length, 0, 10, opts ) );
 var y = new ndarray( 'complex64', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( y ) );
 
-var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), {
+var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), {
     'dtype': 'complex64'
 });
 var out = caxpy( [ x, y, alpha ] );

lib/node_modules/@stdlib/blas/base/ndarray/caxpy/benchmark/benchmark.js

@@ -67,7 +67,7 @@ function createBenchmark( len ) {
 	});
 	y = new ndarray( options.dtype, new Complex64Array( ybuf ), [ len ], [ 1 ], 0, 'row-major' );
 
-	alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), options.dtype, 'row-major' );
+	alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), options.dtype, 'row-major' );
 
 	return benchmark;
 

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

@@ -29,12 +29,12 @@
     > var ord = 'row-major';
     > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
     > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
-    > var ca = new {{alias:@stdlib/complex/float32/ctor}}( 0.4, -0.7 );
+    > var ca = new {{alias:@stdlib/complex/float32/ctor}}( 1.0, 2.0 );
     > var alpha = {{alias:@stdlib/ndarray/base/from-scalar}}( ca, dt, ord );
 
     > {{alias}}( [ x, y, alpha ] );
     > y
-    <ndarray>[ <Complex64>[ 5.0, 4.0 ], <Complex64>[ 1.3, 0.1 ] ]
+    <ndarray>[ <Complex64>[ 2.0, 16.0 ], <Complex64>[ -14.0, -5.0 ] ]
 
     See Also
     --------

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

@@ -40,10 +40,10 @@ import { complex64ndarray } from '@stdlib/types/ndarray';
 * var ybuf = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 * var y = new ndarray( 'complex64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
 *
-* var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
+* var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), 'complex64', 'row-major' );
 *
 * var z = caxpy( [ x, y, alpha ] );
-* // returns <ndarray>[ <Complex64>[ ~2.8, ~1.1 ], <Complex64>[ 5.0, ~0.5 ], <Complex64>[ ~7.2, ~-0.1 ], <Complex64>[ ~9.4, ~-0.7 ], <Complex64>[ ~11.6, ~-1.3 ] ]
+* // returns <ndarray>[ <Complex64>[ -2.0, 5.0 ], <Complex64>[ -4.0, 11.0 ], <Complex64>[ -6.0, 17.0 ], <Complex64>[ -8.0, 23.0 ], <Complex64>[ -10.0, 29.0 ] ]
 *
 * var bool = ( z === y );
 * // returns true

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

@@ -38,7 +38,7 @@ var ybuf = new Complex64Array( discreteUniform( xbuf.length, 0, 10, opts ) );
 var y = new ndarray( 'complex64', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( y ) );
 
-var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), {
+var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), {
 	'dtype': 'complex64'
 });
 var out = caxpy( [ x, y, alpha ] );

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

@@ -36,10 +36,10 @@
 * var ybuf = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 * var y = new ndarray( 'complex64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
+* var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), 'complex64', 'row-major' );
 *
 * var z = caxpy( [ x, y, alpha ] );
-* // returns <ndarray>[ <Complex64>[ ~2.8, ~1.1 ], <Complex64>[ 5.0, ~0.5 ], <Complex64>[ ~7.2, ~-0.1 ], <Complex64>[ ~9.4, ~-0.7 ] ]
+* // returns <ndarray>[ <Complex64>[ -2.0, 5.0 ], <Complex64>[ -4.0, 11.0 ], <Complex64>[ -6.0, 17.0 ], <Complex64>[ -8.0, 23.0 ] ]
 *
 * var bool = ( z === y );
 * // returns true

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

@@ -48,10 +48,10 @@ var strided = require( '@stdlib/blas/base/caxpy' ).ndarray;
 * var ybuf = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 * var y = new ndarray( 'complex64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
+* var alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), 'complex64', 'row-major' );
 *
 * var z = caxpy( [ x, y, alpha ] );
-* // returns <ndarray>[ <Complex64>[ ~2.8, ~1.1 ], <Complex64>[ 5.0, ~0.5 ], <Complex64>[ ~7.2, ~-0.1 ], <Complex64>[ ~9.4, ~-0.7 ] ]
+* // returns <ndarray>[ <Complex64>[ -2.0, 5.0 ], <Complex64>[ -4.0, 11.0 ], <Complex64>[ -6.0, 17.0 ], <Complex64>[ -8.0, 23.0 ] ]
 *
 * var bool = ( z === y );
 * // returns true

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

@@ -157,7 +157,7 @@ tape( 'if provided empty ndarrays, the function returns the output ndarray uncha
 	ybuf = new Complex64Array( [] );
 	x = vector( xbuf, 0, 1, 0 );
 	y = vector( ybuf, 0, 1, 0 );
-	alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
+	alpha = scalar2ndarray( new Complex64( 1.0, 2.0 ), 'complex64', 'row-major' );
 
 	v = caxpy( [ x, y, alpha ] );