fix: update test, benchmark and examples to match dfill implementation

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---

Author: opbot-xd

lib/node_modules/@stdlib/blas/ext/base/ndarray/dfill/benchmark/benchmark.js

@@ -20,14 +20,14 @@
 
 // MODULES //
 
-var bench = require('@stdlib/bench');
-var uniform = require('@stdlib/random/array/uniform');
-var isnan = require('@stdlib/math/base/assert/is-nan');
-var pow = require('@stdlib/math/base/special/pow');
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var getData = require('@stdlib/ndarray/base/data-buffer');
-var pkg = require('./../package.json').name;
-var dfill = require('./../lib');
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var pkg = require( './../package.json' ).name;
+var dfill = require( './../lib' );
 
 
 // VARIABLES //

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

@@ -23,11 +23,11 @@ var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dfill = require( './../lib' );
 
-var xbuf = discreteUniform(10, -50, 50, {
+var xbuf = discreteUniform( 10, -50, 50, {
 	'dtype': 'float64'
 });
-var x = new ndarray('float64', xbuf, [xbuf.length], [1], 0, 'row-major');
-console.log(ndarray2array(x));
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
 
-dfill(5.0, [x]);
-console.log(ndarray2array(x));
+dfill( 5.0, [ x ] );
+console.log( ndarray2array( x ) );

lib/node_modules/@stdlib/blas/ext/base/ndarray/dfill/test/test.js

@@ -20,11 +20,11 @@
 
 // MODULES //
 
-var tape = require('tape');
-var Float64Array = require('@stdlib/array/float64');
-var ndarray = require('@stdlib/ndarray/base/ctor');
-var getData = require('@stdlib/ndarray/base/data-buffer');
-var dfill = require('./../lib');
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var dfill = require( './../lib' );
 
 
 // FUNCTIONS //
@@ -39,62 +39,62 @@ var dfill = require('./../lib');
 * @param {NonNegativeInteger} offset - index offset
 * @returns {ndarray} one-dimensional ndarray
 */
-function vector(buffer, length, stride, offset) {
-	return new ndarray('float64', buffer, [length], [stride], offset, 'row-major');
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
 }
 
 
 // TESTS //
 
-tape('main export is a function', function test(t) {
-	t.ok(true, __filename);
-	t.strictEqual(typeof dfill, 'function', 'main export is a function');
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dfill, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape('the function has an arity of 2', function test(t) {
-	t.strictEqual(dfill.length, 2, 'has expected arity');
+tape( 'the function has an arity of 2', function test( t ) {
+	t.strictEqual( dfill.length, 2, 'has expected arity' );
 	t.end();
 });
 
-tape('the function fills a one-dimensional ndarray with a specified scalar constant', function test(t) {
+tape( 'the function fills a one-dimensional ndarray with a specified scalar constant', function test( t ) {
 	var expected;
 	var x;
 
-	x = new Float64Array([1.0, -2.0, 3.0, -4.0, 5.0, -6.0]);
-	expected = new Float64Array([5.0, 5.0, 5.0, 5.0, 5.0, 5.0]);
+	x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
+	expected = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ] );
 
-	dfill(5.0, [vector(x, 6, 1, 0)]);
-	t.deepEqual(x, expected, 'returns expected value');
+	dfill( 5.0, [ vector( x, 6, 1, 0 ) ] );
+	t.deepEqual( x, expected, 'returns expected value' );
 
 	t.end();
 });
 
-tape('the function returns the input ndarray', function test(t) {
+tape( 'the function returns the input ndarray', function test( t ) {
 	var x;
 	var y;
 
-	x = new Float64Array([1.0, -2.0, 3.0, -4.0, 5.0, -6.0]);
-	y = dfill(5.0, [vector(x, 6, 1, 0)]);
+	x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
+	y = dfill( 5.0, [ vector( x, 6, 1, 0 ) ] );
 
-	t.strictEqual(getData(y), x, 'returns expected value');
+	t.strictEqual( getData( y ), x, 'returns expected value' );
 	t.end();
 });
 
-tape('if provided an empty ndarray, the function returns the input ndarray unchanged', function test(t) {
+tape( 'if provided an empty ndarray, the function returns the input ndarray unchanged', function test( t ) {
 	var expected;
 	var x;
 
-	x = new Float64Array([]);
-	expected = new Float64Array([]);
+	x = new Float64Array( [] );
+	expected = new Float64Array( [] );
 
-	dfill(5.0, [vector(x, 0, 1, 0)]);
-	t.deepEqual(x, expected, 'returns expected value');
+	dfill( 5.0, [ vector( x, 0, 1, 0 ) ] );
+	t.deepEqual( x, expected, 'returns expected value' );
 
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having non-unit strides', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
 	var expected;
 	var x;
 
@@ -108,15 +108,15 @@ tape('the function supports one-dimensional ndarrays having non-unit strides', f
 		4.0,  // 3
 		2.0
 	]);
-	expected = new Float64Array([5.0, 2.0, 5.0, -7.0, 5.0, 3.0, 5.0, 2.0]);
+	expected = new Float64Array( [ 5.0, 2.0, 5.0, -7.0, 5.0, 3.0, 5.0, 2.0 ] );
 
-	dfill(5.0, [vector(x, 4, 2, 0)]);
+	dfill( 5.0, [ vector( x, 4, 2, 0 ) ] );
 
-	t.deepEqual(x, expected, 'returns expected value');
+	t.deepEqual( x, expected, 'returns expected value' );
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having negative strides', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
 	var expected;
 	var x;
 
@@ -130,15 +130,15 @@ tape('the function supports one-dimensional ndarrays having negative strides', f
 		4.0,  // 0
 		2.0
 	]);
-	expected = new Float64Array([5.0, 2.0, 5.0, -7.0, 5.0, 3.0, 5.0, 2.0]);
+	expected = new Float64Array( [ 5.0, 2.0, 5.0, -7.0, 5.0, 3.0, 5.0, 2.0 ] );
 
-	dfill(5.0, [vector(x, 4, -2, 6)]);
+	dfill( 5.0, [ vector( x, 4, -2, 6 ) ] );
 
-	t.deepEqual(x, expected, 'returns expected value');
+	t.deepEqual( x, expected, 'returns expected value' );
 	t.end();
 });
 
-tape('the function supports one-dimensional ndarrays having non-zero offsets', function test(t) {
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
 	var expected;
 	var x;
 
@@ -152,10 +152,10 @@ tape('the function supports one-dimensional ndarrays having non-zero offsets', f
 		3.0,
 		4.0   // 3
 	]);
-	expected = new Float64Array([2.0, 5.0, 2.0, 5.0, -2.0, 5.0, 3.0, 5.0]);
+	expected = new Float64Array( [ 2.0, 5.0, 2.0, 5.0, -2.0, 5.0, 3.0, 5.0 ] );
 
-	dfill(5.0, [vector(x, 4, 2, 1)]);
-	t.deepEqual(x, expected, 'returns expected value');
+	dfill( 5.0, [ vector( x, 4, 2, 1 ) ] );
+	t.deepEqual( x, expected, 'returns expected value' );
 
 	t.end();
 });