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bench: address commit comments
PR-URL: #5137 Closes: #5126 Reviewed-by: Philipp Burckhardt <[email protected]>
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‎lib/node_modules/@stdlib/stats/base/dists/poisson/ctor/benchmark/benchmark.js

Lines changed: 19 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -38,7 +38,7 @@ bench( pkg+'::instantiation', function benchmark( b ) {
3838
var len;
3939
var i;
4040

41-
len=100;
41+
len = 100;
4242
lambda = new Float64Array( len );
4343
for ( i = 0; i < len; i++ ) {
4444
lambda[ i ] = ( uniform( EPS, 10.0 ));
@@ -90,7 +90,7 @@ bench( pkg+'::set:lambda', function benchmark( b ) {
9090

9191
lambda = 5.54;
9292
dist = new Poisson( lambda );
93-
len=100;
93+
len = 100;
9494
y = new Float64Array( len );
9595
for ( i = 0; i < len; i++ ) {
9696
y[ i ] = uniform( EPS, 10.0 );
@@ -120,7 +120,7 @@ bench( pkg+':entropy', function benchmark( b ) {
120120

121121
lambda = 5.54;
122122
dist = new Poisson( lambda );
123-
len=100;
123+
len = 100;
124124
x = new Float64Array( len );
125125
for ( i = 0; i < len; i++ ) {
126126
x[ i ]= uniform( EPS, 10.0 );
@@ -151,7 +151,7 @@ bench( pkg+':kurtosis', function benchmark( b ) {
151151

152152
lambda = 5.54;
153153
dist = new Poisson( lambda );
154-
len=100;
154+
len = 100;
155155
x = new Float64Array( len );
156156
for ( i = 0; i < len; i++ ) {
157157
x[ i ]= uniform( EPS + 1.0, 11.0 );
@@ -182,7 +182,7 @@ bench( pkg+':mean', function benchmark( b ) {
182182

183183
lambda = 5.54;
184184
dist = new Poisson( lambda );
185-
len=100;
185+
len = 100;
186186
x = new Float64Array( len );
187187
for ( i = 0; i < len; i++ ) {
188188
x[ i ]= uniform( EPS, 10.0 );
@@ -213,7 +213,7 @@ bench( pkg+':median', function benchmark( b ) {
213213

214214
lambda = 5.54;
215215
dist = new Poisson( lambda );
216-
len=100;
216+
len = 100;
217217
x = new Float64Array( len );
218218
for ( i = 0; i < len; i++ ) {
219219
x[ i ]= uniform( EPS, 10.0 );
@@ -244,7 +244,7 @@ bench( pkg+':mode', function benchmark( b ) {
244244

245245
lambda = 5.54;
246246
dist = new Poisson( lambda );
247-
len=100;
247+
len = 100;
248248
x = new Float64Array( len );
249249
for ( i = 0; i < len; i++ ) {
250250
x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -275,7 +275,7 @@ bench( pkg+':skewness', function benchmark( b ) {
275275

276276
lambda = 5.54;
277277
dist = new Poisson( lambda );
278-
len=100;
278+
len = 100;
279279
x = new Float64Array( len );
280280
for ( i = 0; i < len; i++ ) {
281281
x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -306,7 +306,7 @@ bench( pkg+':stdev', function benchmark( b ) {
306306

307307
lambda = 5.54;
308308
dist = new Poisson( lambda );
309-
len=100;
309+
len = 100;
310310
x = new Float64Array( len );
311311
for ( i = 0; i < len; i++ ) {
312312
x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -337,7 +337,7 @@ bench( pkg+':variance', function benchmark( b ) {
337337

338338
lambda = 5.54;
339339
dist = new Poisson( lambda );
340-
len=100;
340+
len = 100;
341341
x = new Float64Array( len );
342342
for ( i = 0; i < len; i++ ) {
343343
x[ i ]= uniform( 1.0 + EPS, 11.0 );
@@ -368,7 +368,7 @@ bench( pkg+':cdf', function benchmark( b ) {
368368

369369
lambda = 5.54;
370370
dist = new Poisson( lambda );
371-
len=100;
371+
len = 100;
372372
x = new Float64Array( len );
373373
for ( i = 0; i < len; i++ ) {
374374
x[ i ]= uniform( 0.0, 60.0 );
@@ -398,14 +398,14 @@ bench( pkg+':logpmf', function benchmark( b ) {
398398

399399
lambda = 5.54;
400400
dist = new Poisson( lambda );
401-
len=100;
401+
len = 100;
402402
x = new Float64Array( len );
403403
for ( i = 0; i < len; i++ ) {
404404
x[ i ]= discreteUniform( 0.0, 6.0 );
405405
}
406406
b.tic();
407407
for ( i = 0; i < b.iterations; i++ ) {
408-
y = dist.logpmf( x[ i % len] );
408+
y = dist.logpmf( x[ i % len ] );
409409
if ( isnan( y ) ) {
410410
b.fail( 'should not return NaN' );
411411
}
@@ -428,14 +428,14 @@ bench( pkg+':mgf', function benchmark( b ) {
428428

429429
lambda = 5.54;
430430
dist = new Poisson( lambda );
431-
len=100;
431+
len = 100;
432432
x = new Float64Array( len );
433433
for ( i = 0; i < len; i++ ) {
434434
x[ i ]= uniform( 0.0, 1.0 );
435435
}
436436
b.tic();
437437
for ( i = 0; i < b.iterations; i++ ) {
438-
y = dist.mgf( x[ i % len] );
438+
y = dist.mgf( x[ i % len ] );
439439
if ( isnan( y ) ) {
440440
b.fail( 'should not return NaN' );
441441
}
@@ -458,14 +458,14 @@ bench( pkg+':pmf', function benchmark( b ) {
458458

459459
lambda = 5.54;
460460
dist = new Poisson( lambda );
461-
len=100;
461+
len = 100;
462462
x = new Float64Array( len );
463463
for ( i = 0; i < len; i++ ) {
464464
x[ i ]= discreteUniform( 0.0, 8.0 );
465465
}
466466
b.tic();
467467
for ( i = 0; i < b.iterations; i++ ) {
468-
y = dist.pmf( x[ i % len] );
468+
y = dist.pmf( x[ i % len ] );
469469
if ( isnan( y ) ) {
470470
b.fail( 'should not return NaN' );
471471
}
@@ -488,14 +488,14 @@ bench( pkg+':quantile', function benchmark( b ) {
488488

489489
lambda = 5.54;
490490
dist = new Poisson( lambda );
491-
len=100;
491+
len = 100;
492492
x = new Float64Array( len );
493493
for ( i = 0; i < len; i++ ) {
494494
x[ i ]= uniform( 0.0, 1.0 );
495495
}
496496
b.tic();
497497
for ( i = 0; i < b.iterations; i++ ) {
498-
y = dist.quantile( x[ i % len] );
498+
y = dist.quantile( x[ i % len ] );
499499
if ( isnan( y ) ) {
500500
b.fail( 'should not return NaN' );
501501
}

‎lib/node_modules/@stdlib/stats/base/dists/poisson/entropy/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
4040
len = 100;
4141
lambda = new Float64Array( len );
4242
for ( i = 0; i < len; i++ ) {
43-
lambda[ i ] = ( uniform( EPS, 20.0 ));
43+
lambda[ i ] = uniform( EPS, 20.0 );
4444
}
4545
b.tic();
4646
for ( i = 0; i < b.iterations; i++ ) {

‎lib/node_modules/@stdlib/stats/base/dists/poisson/kurtosis/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
4040
len = 100;
4141
lambda = new Float64Array( len );
4242
for ( i = 0; i < len; i++ ) {
43-
lambda[ i ] = ( uniform( EPS, 20.0 ));
43+
lambda[ i ] = uniform( EPS, 20.0 );
4444
}
4545
b.tic();
4646
for ( i = 0; i < b.iterations; i++ ) {

‎lib/node_modules/@stdlib/stats/base/dists/poisson/mode/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
4040
len = 100;
4141
lambda = new Float64Array( len );
4242
for ( i = 0; i < len; i++ ) {
43-
lambda[ i ] = ( uniform( EPS, 20.0 ));
43+
lambda[ i ] = uniform( EPS, 20.0 );
4444
}
4545
b.tic();
4646
for ( i = 0; i < b.iterations; i++ ) {

‎lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -76,7 +76,7 @@ bench( pkg+':factory', function benchmark( b ) {
7676
}
7777
b.tic();
7878
for ( i = 0; i < b.iterations; i++ ) {
79-
y = myquantile( p[ i % len] );
79+
y = myquantile( p[ i % len ] );
8080
if ( isnan( y ) ) {
8181
b.fail( 'should not return NaN' );
8282
}

‎lib/node_modules/@stdlib/stats/base/dists/poisson/skewness/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
4040
len = 100;
4141
lambda = new Float64Array( len );
4242
for ( i = 0; i < len; i++ ) {
43-
lambda[ i ] = ( uniform( EPS, 20.0 ));
43+
lambda[ i ] = uniform( EPS, 20.0 );
4444
}
4545
b.tic();
4646
for ( i = 0; i < b.iterations; i++ ) {

‎lib/node_modules/@stdlib/stats/base/dists/poisson/stdev/benchmark/benchmark.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
4040
len = 100;
4141
lambda = new Float64Array( len );
4242
for ( i = 0; i < len; i++ ) {
43-
lambda[ i ] = ( uniform( EPS, 20.0 ));
43+
lambda[ i ] = uniform( EPS, 20.0 );
4444
}
4545
b.tic();
4646
for ( i = 0; i < b.iterations; i++ ) {

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