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Aadish JainAadish Jain
Aadish Jain
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Aadish Jain
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feat(negative-binomial-variance): fixing styling
1 parent 04da150 commit 908ce80

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+65
-65
lines changed

4 files changed

+65
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lines changed

‎lib/node_modules/@stdlib/stats/base/dists/negative-binomial/variance/benchmark/benchmark.js‎

Lines changed: 21 additions & 21 deletions
Original file line numberDiff line numberDiff line change
@@ -30,37 +30,37 @@ var variance = require( './../lib' );
3030

3131
// MAIN //
3232

33-
bench(pkg, function benchmark(b) {
33+
bench( pkg, function benchmark( b ) {
3434
var len;
3535
var r;
3636
var p;
3737
var y;
3838
var i;
3939

4040
len = 100;
41-
r = new Float64Array(len);
42-
p = new Float64Array(len);
43-
for (i = 0; i < len; i++) {
44-
r[i] = (randu() * 10.0) + 1.0; // Treat r as double
45-
p[i] = (randu() * 0.8) + 0.1;
41+
r = new Float64Array( len );
42+
p = new Float64Array( len );
43+
for ( i = 0; i < len; i++ ) {
44+
r[ i ] = ( randu() * 10.0 ) + 1.0; // Treat r as double
45+
p[ i ] = ( randu() * 0.8 ) + 0.1;
4646
}
4747

4848
b.tic();
49-
for (i = 0; i < b.iterations; i++) {
50-
y = variance(r[i % len], p[i % len]);
51-
if (isnan(y)) {
52-
b.fail('should not return NaN');
49+
for ( i = 0; i < b.iterations; i++ ) {
50+
y = variance( r[ i % len ], p[ i % len ] );
51+
if ( isnan( y ) ) {
52+
b.fail( 'should not return NaN' );
5353
}
5454
}
5555
b.toc();
56-
if (isnan(y)) {
57-
b.fail('should not return NaN');
56+
if ( isnan( y ) ) {
57+
b.fail( 'should not return NaN' );
5858
}
59-
b.pass('benchmark finished');
59+
b.pass( 'benchmark finished' );
6060
b.end();
6161
});
6262

63-
bench(pkg + ':direct', function benchmark(b) {
63+
bench( pkg + ':direct', function benchmark( b ) {
6464
var r;
6565
var p;
6666
var y;
@@ -70,16 +70,16 @@ bench(pkg + ':direct', function benchmark(b) {
7070
p = 0.5;
7171

7272
b.tic();
73-
for (i = 0; i < b.iterations; i++) {
74-
y = variance(r, p);
75-
if (isnan(y)) {
76-
b.fail('should not return NaN');
73+
for ( i = 0; i < b.iterations; i++ ) {
74+
y = variance( r, p );
75+
if ( isnan( y ) ) {
76+
b.fail( 'should not return NaN' );
7777
}
7878
}
7979
b.toc();
80-
if (isnan(y)) {
81-
b.fail('should not return NaN');
80+
if ( isnan( y ) ) {
81+
b.fail( 'should not return NaN' );
8282
}
83-
b.pass('benchmark finished');
83+
b.pass( 'benchmark finished' );
8484
b.end();
8585
});

‎lib/node_modules/@stdlib/stats/base/dists/negative-binomial/variance/benchmark/benchmark.native.js‎

Lines changed: 15 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -31,40 +31,40 @@ var pkg = require( './../package.json' ).name;
3131

3232
// VARIABLES //
3333

34-
var variance = tryRequire(resolve(__dirname, './../lib/native.js'));
34+
var variance = tryRequire( resolve( __dirname, './../lib/native.js' ) );
3535
var opts = {
36-
'skip': (variance instanceof Error)
36+
'skip': ( variance instanceof Error )
3737
};
3838

3939

4040
// MAIN //
4141

42-
bench(pkg + '::native', opts, function benchmark(b) {
42+
bench( pkg + '::native', opts, function benchmark( b ) {
4343
var len;
4444
var r;
4545
var p;
4646
var y;
4747
var i;
4848

4949
len = 100;
50-
r = new Float64Array(len);
51-
p = new Float64Array(len);
52-
for (i = 0; i < len; i++) {
53-
r[i] = (randu() * 10.0) + 1.0; // Treat r as double
54-
p[i] = (randu() * 0.8) + 0.1;
50+
r = new Float64Array( len );
51+
p = new Float64Array( len );
52+
for ( i = 0; i < len; i++ ) {
53+
r[ i ] = ( randu() * 10.0 ) + 1.0; // Treat r as double
54+
p[ i ] = ( randu() * 0.8 ) + 0.1;
5555
}
5656

5757
b.tic();
58-
for (i = 0; i < b.iterations; i++) {
59-
y = variance(r[i % len], p[i % len]);
60-
if (isnan(y)) {
61-
b.fail('should not return NaN');
58+
for ( i = 0; i < b.iterations; i++ ) {
59+
y = variance( r[ i % len ], p[ i % len ] );
60+
if ( isnan( y ) ) {
61+
b.fail( 'should not return NaN' );
6262
}
6363
}
6464
b.toc();
65-
if (isnan(y)) {
66-
b.fail('should not return NaN');
65+
if ( isnan( y ) ) {
66+
b.fail( 'should not return NaN' );
6767
}
68-
b.pass('benchmark finished');
68+
b.pass( 'benchmark finished' );
6969
b.end();
7070
});

‎lib/node_modules/@stdlib/stats/base/dists/negative-binomial/variance/lib/native.js‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -57,8 +57,8 @@ var addon = require( './../src/addon.node' );
5757
* var v = variance( 10.0, 1.5 );
5858
* // returns NaN
5959
*/
60-
function variance(r, p) {
61-
return addon(r, p);
60+
function variance( r, p ) {
61+
return addon( r, p );
6262
}
6363

6464

‎lib/node_modules/@stdlib/stats/base/dists/negative-binomial/variance/test/test.native.js‎

Lines changed: 27 additions & 27 deletions
Original file line numberDiff line numberDiff line change
@@ -35,47 +35,47 @@ var data = require( './julia/data.json' );
3535

3636
// VARIABLES //
3737

38-
var variance = tryRequire(resolve(__dirname, './../lib/native.js'));
38+
var variance = tryRequire( resolve( __dirname, './../lib/native.js' ) );
3939
var opts = {
40-
'skip': (variance instanceof Error)
40+
'skip': ( variance instanceof Error )
4141
};
4242

4343

4444
// TESTS //
4545

46-
tape('main export is a function', opts, function test(t) {
47-
t.ok(true, __filename);
48-
t.strictEqual(typeof variance, 'function', 'main export is a function');
46+
tape( 'main export is a function', opts, function test( t ) {
47+
t.ok( true, __filename );
48+
t.strictEqual( typeof variance, 'function', 'main export is a function' );
4949
t.end();
5050
});
5151

52-
tape('if provided `NaN` for any parameter, the function returns `NaN`', opts, function test(t) {
53-
var y = variance(NaN, 0.5);
54-
t.equal(isnan(y), true, 'returns NaN');
55-
y = variance(10, NaN);
56-
t.equal(isnan(y), true, 'returns NaN');
52+
tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
53+
var y = variance( NaN, 0.5 );
54+
t.equal( isnan( y ), true, 'returns NaN' );
55+
y = variance( 10, NaN );
56+
t.equal( isnan( y ), true, 'returns NaN' );
5757
t.end();
5858
});
5959

60-
tape('if provided `r <= 0` or `p <= 0` or `p > 1`, the function returns `NaN`', opts, function test(t) {
60+
tape( 'if provided `r <= 0` or `p <= 0` or `p > 1`, the function returns `NaN`', opts, function test( t ) {
6161
var y;
6262

63-
y = variance(-1.0, 0.5);
64-
t.equal(isnan(y), true, 'returns NaN');
63+
y = variance( -1.0, 0.5 );
64+
t.equal( isnan( y ), true, 'returns NaN' );
6565

66-
y = variance(0.0, 0.5);
67-
t.equal(isnan(y), true, 'returns NaN');
66+
y = variance( 0.0, 0.5 );
67+
t.equal( isnan( y ), true, 'returns NaN' );
6868

69-
y = variance(10.0, 0.0);
70-
t.equal(isnan(y), true, 'returns NaN');
69+
y = variance( 10.0, 0.0 );
70+
t.equal( isnan( y ), true, 'returns NaN' );
7171

72-
y = variance(10.0, 1.5);
73-
t.equal(isnan(y), true, 'returns NaN');
72+
y = variance( 10.0, 1.5 );
73+
t.equal( isnan( y ), true, 'returns NaN' );
7474

7575
t.end();
7676
});
7777

78-
tape('the function evaluates the variance for a negative binomial distribution', opts, function test(t) {
78+
tape( 'the function evaluates the variance for a negative binomial distribution', opts, function test( t ) {
7979
var expected;
8080
var delta;
8181
var tol;
@@ -87,14 +87,14 @@ tape('the function evaluates the variance for a negative binomial distribution',
8787
expected = data.expected;
8888
r = data.r;
8989
p = data.p;
90-
for (i = 0; i < r.length; i++) {
91-
y = variance(r[i], p[i]);
92-
if (y === expected[i]) {
93-
t.equal(y, expected[i], 'r: ' + r[i] + ', p: ' + p[i] + ', y: ' + y + ', expected: ' + expected[i]);
90+
for ( i = 0; i < r.length; i++ ) {
91+
y = variance( r[ i ], p[ i ] );
92+
if ( y === expected[ i ] ) {
93+
t.equal( y, expected[ i ], 'r: ' + r[ i ] + ', p: ' + p[ i ] + ', y: ' + y + ', expected: ' + expected[ i ] );
9494
} else {
95-
delta = abs(y - expected[i]);
96-
tol = 2.0 * EPS * abs(expected[i]);
97-
t.ok(delta <= tol, 'within tolerance. r: ' + r[i] + '. p: ' + p[i] + '. y: ' + y + '. E: ' + expected[i] + '. Δ: ' + delta + '. tol: ' + tol + '.');
95+
delta = abs( y - expected[ i ] );
96+
tol = 2.0 * EPS * abs( expected[ i ] );
97+
t.ok( delta <= tol, 'within tolerance. r: ' + r[ i ] + '. p: ' + p[ i ] + '. y: ' + y + '. E: ' + expected[ i ] + '. Δ: ' + delta + '. tol: ' + tol + '.' );
9898
}
9999
}
100100
t.end();

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