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test: migrate stats/base/dists/cauchy/logcdf to ULP-based assertions #15263

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test: migrate stats/base/dists/cauchy/logcdf to ULP-based assertions #15263

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/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 isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -139,9 +138,7 @@ tape( 'if provided a nonpositive `gamma`, the created function always returns `N
tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (large gamma)', function test( t ) {
var expected;
var logcdf;
var delta;
var gamma;
var tol;
var x0;
var i;
var x;
Expand All @@ -154,23 +151,15 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', function test( t ) {
var expected;
var logcdf;
var delta;
var gamma;
var tol;
var x0;
var i;
var x;
Expand All @@ -183,23 +172,15 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', function test( t ) {
var expected;
var logcdf;
var delta;
var gamma;
var tol;
var x0;
var i;
var x;
Expand All @@ -212,13 +193,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
View file
Open in desktop
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 isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var logcdf = require( './../lib' );


Expand Down Expand Up @@ -95,9 +94,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', fu

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `gamma`)', function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -109,22 +106,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
gamma = largeGamma.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -136,22 +125,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
gamma = negativeMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -163,13 +144,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
gamma = positiveMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,10 +24,9 @@ var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var tryRequire = require( '@stdlib/utils/try-require' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );


// FIXTURES //
Expand Down Expand Up @@ -104,9 +103,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', op

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `gamma`)', opts, function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -118,22 +115,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
gamma = largeGamma.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 7.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', opts, function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -145,22 +134,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
gamma = negativeMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 300.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', opts, function test( t ) {
var expected;
var delta;
var gamma;
var tol;
var x0;
var x;
var y;
Expand All @@ -172,13 +153,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
gamma = positiveMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 220.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
}
t.end();
});