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Lokeshranjan8Lokeshranjan8
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bench: update random value generation for stats/base/dists/uniform
PR-URL: #10007 Reviewed-by: Athan Reines <kgryte@gmail.com>
1 parent 7b69002 commit 647b041

14 files changed

Lines changed: 138 additions & 190 deletions

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‎lib/node_modules/@stdlib/stats/base/dists/uniform/cdf/benchmark/benchmark.js‎

Lines changed: 15 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -21,8 +21,7 @@
2121
// MODULES //
2222

2323
var bench = require( '@stdlib/bench' );
24-
var uniform = require( '@stdlib/random/base/uniform' );
25-
var Float64Array = require( '@stdlib/array/float64' );
24+
var uniform = require( '@stdlib/random/array/uniform' );
2625
var format = require( '@stdlib/string/format' );
2726
var isnan = require( '@stdlib/math/base/assert/is-nan' );
2827
var pkg = require( './../package.json' ).name;
@@ -32,26 +31,23 @@ var cdf = require( './../lib' );
3231
// MAIN //
3332

3433
bench( pkg, function benchmark( b ) {
34+
var opts;
3535
var min;
3636
var max;
37-
var len;
3837
var x;
3938
var y;
4039
var i;
4140

42-
len = 100;
43-
x = new Float64Array( len );
44-
min = new Float64Array( len );
45-
max = new Float64Array( len );
46-
for ( i = 0; i < len; i++ ) {
47-
x[ i ] = uniform( -10.0, 10.0 );
48-
min[ i ] = uniform( -20.0, 0.0 );
49-
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
50-
}
41+
opts = {
42+
'dtype': 'float64'
43+
};
44+
x = uniform( 100, -10.0, 10.0, opts );
45+
min = uniform( 100, -20.0, 0.0, opts );
46+
max = uniform( 100, 20.0, 40.0, opts );
5147

5248
b.tic();
5349
for ( i = 0; i < b.iterations; i++ ) {
54-
y = cdf( x[ i % len ], min[ i % len ], max[ i % len ] );
50+
y = cdf( x[ i % x.length ], min[ i % min.length ], max[ i % max.length ] );
5551
if ( isnan( y ) ) {
5652
b.fail( 'should not return NaN' );
5753
}
@@ -66,25 +62,24 @@ bench( pkg, function benchmark( b ) {
6662

6763
bench( format( '%s::factory', pkg ), function benchmark( b ) {
6864
var mycdf;
65+
var opts;
6966
var min;
7067
var max;
71-
var len;
7268
var x;
7369
var y;
7470
var i;
7571

72+
opts = {
73+
'dtype': 'float64'
74+
};
7675
min = -1.5;
7776
max = 1.5;
7877
mycdf = cdf.factory( min, max );
79-
len = 100;
80-
x = new Float64Array( len );
81-
for ( i = 0; i < len; i++ ) {
82-
x[ i ] = uniform( -2.0, 0.0 );
83-
}
78+
x = uniform( 100, -2.0, 0.0, opts );
8479

8580
b.tic();
8681
for ( i = 0; i < b.iterations; i++ ) {
87-
y = mycdf( x[ i % len ] );
82+
y = mycdf( x[ i % x.length ] );
8883
if ( isnan( y ) ) {
8984
b.fail( 'should not return NaN' );
9085
}

‎lib/node_modules/@stdlib/stats/base/dists/uniform/cdf/benchmark/benchmark.native.js‎

Lines changed: 9 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -22,8 +22,7 @@
2222

2323
var resolve = require( 'path' ).resolve;
2424
var bench = require( '@stdlib/bench' );
25-
var Float64Array = require( '@stdlib/array/float64' );
26-
var uniform = require( '@stdlib/random/base/uniform' );
25+
var uniform = require( '@stdlib/random/array/uniform' );
2726
var isnan = require( '@stdlib/math/base/assert/is-nan' );
2827
var tryRequire = require( '@stdlib/utils/try-require' );
2928
var format = require( '@stdlib/string/format' );
@@ -41,26 +40,23 @@ var opts = {
4140
// MAIN //
4241

4342
bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
44-
var len;
43+
var opts;
4544
var min;
4645
var max;
4746
var x;
4847
var y;
4948
var i;
5049

51-
len = 100;
52-
x = new Float64Array( len );
53-
min = new Float64Array( len );
54-
max = new Float64Array( len );
55-
for ( i = 0; i < len; i++ ) {
56-
x[ i ] = uniform( -10.0, 10.0 );
57-
min[ i ] = uniform( -20.0, 0.0 );
58-
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
59-
}
50+
opts = {
51+
'dtype': 'float64'
52+
};
53+
x = uniform( 100, -10.0, 10.0, opts );
54+
min = uniform( 100, -20.0, 0.0, opts );
55+
max = uniform( 100, 20.0, 40.0, opts );
6056

6157
b.tic();
6258
for ( i = 0; i < b.iterations; i++ ) {
63-
y = cdf( x[ i % len ], min[ i % len ], max[ i % len ] );
59+
y = cdf( x[ i % x.length ], min[ i % min.length ], max[ i % max.length ] );
6460
if ( isnan( y ) ) {
6561
b.fail( 'should not return NaN' );
6662
}

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

Lines changed: 8 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -21,33 +21,30 @@
2121
// MODULES //
2222

2323
var bench = require( '@stdlib/bench' );
24-
var Float64Array = require( '@stdlib/array/float64' );
2524
var isnan = require( '@stdlib/math/base/assert/is-nan' );
26-
var uniform = require( '@stdlib/random/base/uniform' );
25+
var uniform = require( '@stdlib/random/array/uniform' );
2726
var pkg = require( './../package.json' ).name;
2827
var entropy = require( './../lib' );
2928

3029

3130
// MAIN //
3231

3332
bench( pkg, function benchmark( b ) {
33+
var opts;
3434
var min;
3535
var max;
36-
var len;
3736
var y;
3837
var i;
3938

40-
len = 100;
41-
min = new Float64Array( len );
42-
max = new Float64Array( len );
43-
for ( i = 0; i < len; i++ ) {
44-
min[ i ] = uniform( 0.0, 10.0 );
45-
max[ i ] = uniform( min[ i ], 10.0 + min[ i ] );
46-
}
39+
opts = {
40+
'dtype': 'float64'
41+
};
42+
min = uniform( 100, 0.0, 10.0, opts );
43+
max = uniform( 100, 10.0, 20.0, opts );
4744

4845
b.tic();
4946
for ( i = 0; i < b.iterations; i++ ) {
50-
y = entropy( min[ i % len ], max[ i % len ] );
47+
y = entropy( min[ i % min.length ], max[ i % max.length ] );
5148
if ( isnan( y ) ) {
5249
b.fail( 'should not return NaN' );
5350
}

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

Lines changed: 10 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -22,10 +22,10 @@
2222

2323
var resolve = require( 'path' ).resolve;
2424
var bench = require( '@stdlib/bench' );
25-
var Float64Array = require( '@stdlib/array/float64' );
2625
var tryRequire = require( '@stdlib/utils/try-require' );
27-
var uniform = require( '@stdlib/random/base/uniform' );
26+
var uniform = require( '@stdlib/random/array/uniform' );
2827
var isnan = require( '@stdlib/math/base/assert/is-nan' );
28+
var format = require( '@stdlib/string/format' );
2929
var pkg = require( './../package.json' ).name;
3030

3131

@@ -39,24 +39,22 @@ var opts = {
3939

4040
// MAIN //
4141

42-
bench( pkg+'::native', opts, function benchmark( b ) {
42+
bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
43+
var opts;
4344
var min;
4445
var max;
45-
var len;
4646
var y;
4747
var i;
4848

49-
len = 100;
50-
min = new Float64Array( len );
51-
max = new Float64Array( len );
52-
for ( i = 0; i < len; i++ ) {
53-
min[ i ] = uniform( 0.0, 10.0 );
54-
max[ i ] = uniform( min[ i ], 10.0 + min[ i ] );
55-
}
49+
opts = {
50+
'dtype': 'float64'
51+
};
52+
min = uniform( 100, 0.0, 10.0, opts );
53+
max = uniform( 100, 10.0, 20.0, opts );
5654

5755
b.tic();
5856
for ( i = 0; i < b.iterations; i++ ) {
59-
y = entropy( min[ i % len ], max[ i % len ] );
57+
y = entropy( min[ i % min.length ], max[ i % max.length ] );
6058
if ( isnan( y ) ) {
6159
b.fail( 'should not return NaN' );
6260
}

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

Lines changed: 8 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -21,8 +21,7 @@
2121
// MODULES //
2222

2323
var bench = require( '@stdlib/bench' );
24-
var Float64Array = require( '@stdlib/array/float64' );
25-
var uniform = require( '@stdlib/random/base/uniform' );
24+
var uniform = require( '@stdlib/random/array/uniform' );
2625
var isnan = require( '@stdlib/math/base/assert/is-nan' );
2726
var pkg = require( './../package.json' ).name;
2827
var kurtosis = require( './../lib' );
@@ -31,23 +30,21 @@ var kurtosis = require( './../lib' );
3130
// MAIN //
3231

3332
bench( pkg, function benchmark( b ) {
34-
var len;
33+
var opts;
3534
var min;
3635
var max;
3736
var y;
3837
var i;
3938

40-
len = 100;
41-
min = new Float64Array( len );
42-
max = new Float64Array( len );
43-
for ( i = 0; i < len; i++ ) {
44-
min[ i ] = uniform( 0.0, 10.0 );
45-
max[ i ] = uniform( min[ i ], 10.0 + min[ i ] );
46-
}
39+
opts = {
40+
'dtype': 'float64'
41+
};
42+
min = uniform( 100, 0.0, 10.0, opts );
43+
max = uniform( 100, 10.0, 20.0, opts );
4744

4845
b.tic();
4946
for ( i = 0; i < b.iterations; i++ ) {
50-
y = kurtosis( min[ i % len ], max[ i % len ] );
47+
y = kurtosis( min[ i % min.length ], max[ i % max.length ] );
5148
if ( isnan( y ) ) {
5249
b.fail( 'should not return NaN' );
5350
}

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

Lines changed: 8 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -22,9 +22,8 @@
2222

2323
var resolve = require( 'path' ).resolve;
2424
var bench = require( '@stdlib/bench' );
25-
var Float64Array = require( '@stdlib/array/float64' );
2625
var tryRequire = require( '@stdlib/utils/try-require' );
27-
var uniform = require( '@stdlib/random/base/uniform' );
26+
var uniform = require( '@stdlib/random/array/uniform' );
2827
var isnan = require( '@stdlib/math/base/assert/is-nan' );
2928
var format = require( '@stdlib/string/format' );
3029
var pkg = require( './../package.json' ).name;
@@ -41,23 +40,21 @@ var opts = {
4140
// MAIN //
4241

4342
bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
43+
var opts;
4444
var min;
4545
var max;
46-
var len;
4746
var y;
4847
var i;
4948

50-
len = 100;
51-
min = new Float64Array( len );
52-
max = new Float64Array( len );
53-
for ( i = 0; i < len; i++ ) {
54-
min[ i ] = uniform( 0.0, 10.0 );
55-
max[ i ] = uniform( min[ i ], 10.0 + min[ i ] );
56-
}
49+
opts = {
50+
'dtype': 'float64'
51+
};
52+
min = uniform( 100, 0.0, 10.0, opts );
53+
max = uniform( 100, 10.0, 20.0, opts );
5754

5855
b.tic();
5956
for ( i = 0; i < b.iterations; i++ ) {
60-
y = kurtosis( min[ i % len ], max[ i % len ] );
57+
y = kurtosis( min[ i % min.length ], max[ i % max.length ] );
6158
if ( isnan( y ) ) {
6259
b.fail( 'should not return NaN' );
6360
}

‎lib/node_modules/@stdlib/stats/base/dists/uniform/logcdf/benchmark/benchmark.js‎

Lines changed: 15 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -21,8 +21,7 @@
2121
// MODULES //
2222

2323
var bench = require( '@stdlib/bench' );
24-
var Float64Array = require( '@stdlib/array/float64' );
25-
var uniform = require( '@stdlib/random/base/uniform' );
24+
var uniform = require( '@stdlib/random/array/uniform' );
2625
var isnan = require( '@stdlib/math/base/assert/is-nan' );
2726
var format = require( '@stdlib/string/format' );
2827
var pkg = require( './../package.json' ).name;
@@ -32,26 +31,23 @@ var logcdf = require( './../lib' );
3231
// MAIN //
3332

3433
bench( pkg, function benchmark( b ) {
34+
var opts;
3535
var min;
3636
var max;
37-
var len;
3837
var x;
3938
var y;
4039
var i;
4140

42-
len = 100;
43-
x = new Float64Array( len );
44-
min = new Float64Array( len );
45-
max = new Float64Array( len );
46-
for ( i = 0; i < len; i++ ) {
47-
x[ i ] = uniform( -10.0, 10.0 );
48-
min[ i ] = uniform( -20.0, 0.0 );
49-
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
50-
}
41+
opts = {
42+
'dtype': 'float64'
43+
};
44+
x = uniform( 100, -10.0, 10.0, opts );
45+
min = uniform( 100, -20.0, 0.0, opts );
46+
max = uniform( 100, 20.0, 40.0, opts );
5147

5248
b.tic();
5349
for ( i = 0; i < b.iterations; i++ ) {
54-
y = logcdf( x[ i % len ], min[ i % len ], max[ i % len ] );
50+
y = logcdf( x[ i % x.length ], min[ i % min.length ], max[ i % max.length ] );
5551
if ( isnan( y ) ) {
5652
b.fail( 'should not return NaN' );
5753
}
@@ -66,25 +62,24 @@ bench( pkg, function benchmark( b ) {
6662

6763
bench( format( '%s::factory', pkg ), function benchmark( b ) {
6864
var mylogcdf;
65+
var opts;
6966
var min;
7067
var max;
71-
var len;
7268
var x;
7369
var y;
7470
var i;
7571

72+
opts = {
73+
'dtype': 'float64'
74+
};
7675
min = -1.5;
7776
max = 1.5;
7877
mylogcdf = logcdf.factory( min, max );
79-
len = 100;
80-
x = new Float64Array( len );
81-
for ( i = 0; i < len; i++ ) {
82-
x[ i ] = uniform( -2.0, 0.0 );
83-
}
78+
x = uniform( 100, -2.0, 0.0, opts );
8479

8580
b.tic();
8681
for ( i = 0; i < b.iterations; i++ ) {
87-
y = mylogcdf( x[ i % len ] );
82+
y = mylogcdf( x[ i % x.length ] );
8883
if ( isnan( y ) ) {
8984
b.fail( 'should not return NaN' );
9085
}

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