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test: migrate stats/base/dists/f/cdf to ULP-based testing #15405

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test: migrate stats/base/dists/f/cdf to ULP-based testing #15405

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/f/cdf/test/test.cdf.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,9 @@

var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var cdf = require( './../lib' );


Expand Down Expand Up @@ -116,8 +115,6 @@ tape( 'if provided a negative `d2`, the function returns `NaN`', function test(

tape( 'the function evaluates the cdf for `x` given large `d1` and `d2`', function test( t ) {
var expected;
var delta;
var tol;
var d1;
var d2;
var x;
Expand All @@ -130,21 +127,13 @@ tape( 'the function evaluates the cdf for `x` given large `d1` and `d2`', functi
d2 = bothLarge.d2;
for ( i = 0; i < x.length; i++ ) {
y = cdf( x[i], d1[i], d2[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1:'+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 50.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 58 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the cdf for `x` given large parameter `d1`', function test( t ) {
var expected;
var delta;
var tol;
var d1;
var d2;
var x;
Expand All @@ -157,21 +146,13 @@ tape( 'the function evaluates the cdf for `x` given large parameter `d1`', funct
d2 = largeD1.d2;
for ( i = 0; i < x.length; i++ ) {
y = cdf( x[i], d1[i], d2[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1:'+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 400.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 542 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the cdf for `x` given large scale parameter `d2`', function test( t ) {
var expected;
var delta;
var tol;
var d1;
var d2;
var x;
Expand All @@ -184,13 +165,7 @@ tape( 'the function evaluates the cdf for `x` given large scale parameter `d2`',
d2 = largeD2.d2;
for ( i = 0; i < x.length; i++ ) {
y = cdf( x[i], d1[i], d2[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1:'+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 171 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/f/cdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,9 @@

var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -165,9 +164,7 @@ tape( 'if provided a nonpositive `d1`, the created function always returns `NaN`

tape( 'the created function evaluates the cdf for `x` given large `d1` and `d2`', function test( t ) {
var expected;
var delta;
var cdf;
var tol;
var d1;
var d2;
var i;
Expand All @@ -181,22 +178,14 @@ tape( 'the created function evaluates the cdf for `x` given large `d1` and `d2`'
for ( i = 0; i < x.length; i++ ) {
cdf = factory( d1[i], d2[i] );
y = cdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1: '+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 50.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 58 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the cdf for `x` given large parameter `d1`', function test( t ) {
var expected;
var delta;
var cdf;
var tol;
var d1;
var d2;
var i;
Expand All @@ -210,22 +199,14 @@ tape( 'the created function evaluates the cdf for `x` given large parameter `d1`
for ( i = 0; i < x.length; i++ ) {
cdf = factory( d1[i], d2[i] );
y = cdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1: '+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 400.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 542 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the cdf for `x` given large parameter `d2`', function test( t ) {
var expected;
var delta;
var cdf;
var tol;
var d1;
var d2;
var i;
Expand All @@ -239,13 +220,7 @@ tape( 'the created function evaluates the cdf for `x` given large parameter `d2`
for ( i = 0; i < x.length; i++ ) {
cdf = factory( d1[i], d2[i] );
y = cdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', d1: '+d1[i]+', d2: '+d2[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 171 ), true, 'returns expected value' );
}
t.end();
});
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