feat(t-variance): fixing styling

Author: Aadish Jain

lib/node_modules/@stdlib/stats/base/dists/t/variance/benchmark/benchmark.js

@@ -30,29 +30,29 @@ var variance = require( './../lib' );
 
 // MAIN //
 
-bench(pkg, function benchmark(b) {
+bench( pkg, function benchmark( b ) {
 	var len;
 	var v;
 	var y;
 	var i;
 
 	len = 100;
-	v = new Float64Array(len);
-	for (i = 0; i < len; i++) {
-		v[i] = (randu() * 98.0) + 2.1; // Ensure v > 2 to avoid NaN
+	v = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		v[ i ] = ( randu() * 98.0 ) + 2.1; // Ensure v > 2 to avoid NaN
 	}
 
 	b.tic();
-	for (i = 0; i < b.iterations; i++) {
-		y = variance(v[i % len]);
-		if (isnan(y)) {
-			b.fail('should not return NaN');
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = variance( v[ i % len ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
 		}
 	}
 	b.toc();
-	if (isnan(y)) {
-		b.fail('should not return NaN');
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
 	}
-	b.pass('benchmark finished');
+	b.pass( 'benchmark finished' );
 	b.end();
 });

lib/node_modules/@stdlib/stats/base/dists/t/variance/benchmark/benchmark.native.js

@@ -31,37 +31,37 @@ var pkg = require( './../package.json' ).name;
 
 // VARIABLES //
 
-var variance = tryRequire(resolve(__dirname, './../lib/native.js'));
+var variance = tryRequire( resolve( __dirname, './../lib/native.js' ) );
 var opts = {
-	'skip': (variance instanceof Error)
+	'skip': ( variance instanceof Error )
 };
 
 
 // MAIN //
 
-bench(pkg + '::native', opts, function benchmark(b) {
+bench( pkg + '::native', opts, function benchmark( b ) {
 	var len;
 	var v;
 	var y;
 	var i;
 
 	len = 100;
-	v = new Float64Array(len);
-	for (i = 0; i < len; i++) {
-		v[i] = (randu() * 98.0) + 2.1; // Ensure v > 2 to avoid NaN
+	v = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		v[ i ] = ( randu() * 98.0 ) + 2.1; // Ensure v > 2 to avoid NaN
 	}
 
 	b.tic();
-	for (i = 0; i < b.iterations; i++) {
-		y = variance(v[i % len]);
-		if (isnan(y)) {
-			b.fail('should not return NaN');
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = variance( v[ i % len ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
 		}
 	}
 	b.toc();
-	if (isnan(y)) {
-		b.fail('should not return NaN');
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
 	}
-	b.pass('benchmark finished');
+	b.pass( 'benchmark finished' );
 	b.end();
 });

lib/node_modules/@stdlib/stats/base/dists/t/variance/lib/native.js

@@ -48,8 +48,8 @@ var addon = require( './../src/addon.node' );
 * var y = variance( 1.0 );
 * // returns NaN
 */
-function variance(v) {
-	return addon(v);
+function variance( v ) {
+	return addon( v );
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/t/variance/test/test.native.js

@@ -35,45 +35,45 @@ var data = require( './fixtures/julia/data.json' );
 
 // VARIABLES //
 
-var variance = tryRequire(resolve(__dirname, './../lib/native.js'));
+var variance = tryRequire( resolve( __dirname, './../lib/native.js' ) );
 var opts = {
-	'skip': (variance instanceof Error)
+	'skip': ( variance instanceof Error )
 };
 
 
 // TESTS //
 
-tape('main export is a function', opts, function test(t) {
-	t.ok(true, __filename);
-	t.strictEqual(typeof variance, 'function', 'main export is a function');
+tape( 'main export is a function', opts, function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof variance, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape('if provided `NaN` for the parameter, the function returns `NaN`', opts, function test(t) {
-	var y = variance(NaN);
-	t.equal(isnan(y), true, 'returns NaN');
+tape( 'if provided `NaN` for the parameter, the function returns `NaN`', opts, function test( t ) {
+	var y = variance( NaN );
+	t.equal( isnan( y ), true, 'returns NaN' );
 	t.end();
 });
 
-tape('if provided `v <= 2`, the function returns `NaN`', opts, function test(t) {
+tape( 'if provided `v <= 2`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
-	y = variance(2.0);
-	t.equal(isnan(y), true, 'returns NaN');
+	y = variance( 2.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = variance(1.0);
-	t.equal(isnan(y), true, 'returns NaN');
+	y = variance( 1.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = variance(0.0);
-	t.equal(isnan(y), true, 'returns NaN');
+	y = variance( 0.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = variance(-1.0);
-	t.equal(isnan(y), true, 'returns NaN');
+	y = variance( -1.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
 
 	t.end();
 });
 
-tape('the function evaluates the variance for a Student\'s t-distribution', opts, function test(t) {
+tape( 'the function evaluates the variance for a Student\'s t-distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
@@ -83,14 +83,14 @@ tape('the function evaluates the variance for a Student\'s t-distribution', opts
 
 	expected = data.expected;
 	v = data.v;
-	for (i = 0; i < v.length; i++) {
-		y = variance(v[i]);
-		if (y === expected[i]) {
-			t.equal(y, expected[i], 'v: ' + v[i] + ', y: ' + y + ', expected: ' + expected[i]);
+	for ( i = 0; i < v.length; i++ ) {
+		y = variance( v[ i ] );
+		if ( y === expected[ i ] ) {
+			t.equal( y, expected[ i ], 'v: ' + v[ i ] + ', y: ' + y + ', expected: ' + expected[ i ] );
 		} else {
-			delta = abs(y - expected[i]);
-			tol = 2.0 * EPS * abs(expected[i]);
-			t.ok(delta <= tol, 'within tolerance. v: ' + v[i] + '. y: ' + y + '. E: ' + expected[i] + '. Δ: ' + delta + '. tol: ' + tol + '.');
+			delta = abs( y - expected[ i ] );
+			tol = 2.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. v: ' + v[ i ] + '. y: ' + y + '. E: ' + expected[ i ] + '. Δ: ' + delta + '. tol: ' + tol + '.' );
 		}
 	}
 	t.end();