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test: migrate stats/base/dists/gamma/mgf to ULP-based assertions #15880

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test: migrate stats/base/dists/gamma/mgf to ULP-based assertions #15880

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/mgf/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 @@ -141,11 +140,9 @@ tape( 'if provided `alpha < 0`, the created function always returns `NaN`', func

tape( 'the created function evaluates the mgf for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var mgf;
var tol;
var x;
var y;
var i;
Expand All @@ -157,24 +154,16 @@ tape( 'the created function evaluates the mgf for `x` given large `alpha` and `b
for ( i = 0; i < x.length; i++ ) {
mgf = factory( alpha[i], beta[i] );
y = mgf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3000.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 3259 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the mgf for `x` given a large shape parameter `alpha`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var mgf;
var tol;
var x;
var y;
var i;
Expand All @@ -186,24 +175,16 @@ tape( 'the created function evaluates the mgf for `x` given a large shape parame
for ( i = 0; i < x.length; i++ ) {
mgf = factory( alpha[i], beta[i] );
y = mgf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 6500.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 10882 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the mgf for `x` given a large rate parameter `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var mgf;
var tol;
var x;
var y;
var i;
Expand All @@ -215,13 +196,7 @@ tape( 'the created function evaluates the mgf for `x` given a large rate paramet
for ( i = 0; i < x.length; i++ ) {
mgf = factory( alpha[i], beta[i] );
y = mgf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2062 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/mgf/test/test.mgf.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 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 mgf = require( './../lib' );


Expand Down Expand Up @@ -104,10 +103,8 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', function t

tape( 'the function evaluates the MGF for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -118,23 +115,15 @@ tape( 'the function evaluates the MGF for `x` given large `alpha` and `beta`', f
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3000.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 3259 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large shape parameter `alpha`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -145,23 +134,15 @@ tape( 'the function evaluates the MGF for `x` given large shape parameter `alpha
beta = largeShape.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 6500.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 10882 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large rate parameter `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -172,13 +153,7 @@ tape( 'the function evaluates the MGF for `x` given large rate parameter `beta`'
beta = largeRate.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2062 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/gamma/mgf/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,10 @@
var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var tryRequire = require( '@stdlib/utils/try-require' );
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' );


// FIXTURES //
Expand Down Expand Up @@ -113,10 +112,8 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', opts, func

tape( 'the function evaluates the MGF for `x` given large `alpha` and `beta`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -127,23 +124,15 @@ tape( 'the function evaluates the MGF for `x` given large `alpha` and `beta`', o
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3000.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 3259 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large shape parameter `alpha`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -154,23 +143,15 @@ tape( 'the function evaluates the MGF for `x` given large shape parameter `alpha
beta = largeShape.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 6500.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 10882 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large rate parameter `beta`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var x;
var y;
var i;
Expand All @@ -181,13 +162,7 @@ tape( 'the function evaluates the MGF for `x` given large rate parameter `beta`'
beta = largeRate.beta;
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2062 ), true, 'returns expected value' );
}
t.end();
});
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