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test: migrate stats/base/dists/pareto-type1/logpdf to ULP-based assertions #14842

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logpdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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 factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -165,10 +164,8 @@ tape( 'if provided `alpha <= 0`, the created function always returns `NaN`', fun
tape( 'the created function evaluates the logpdf for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var logpdf;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -180,24 +177,16 @@ tape( 'the created function evaluates the logpdf for `x` given large `alpha` and
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( alpha[i], beta[i] );
y = logpdf( 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 = 1.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logpdf for `x` given a large parameter `alpha`', function test( t ) {
var expected;
var logpdf;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -209,24 +198,16 @@ tape( 'the created function evaluates the logpdf for `x` given a large parameter
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( alpha[i], beta[i] );
y = logpdf( 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 = 1.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logpdf for `x` given a large parameter `beta`', function test( t ) {
var expected;
var logpdf;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -238,13 +219,7 @@ tape( 'the created function evaluates the logpdf for `x` given a large parameter
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( alpha[i], beta[i] );
y = logpdf( 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 = 1.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logpdf/test/test.logpdf.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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 logpdf = require( './../lib' );


Expand Down Expand Up @@ -123,10 +122,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t )

tape( 'the function evaluates the logpdf for `x` given large `alpha` and `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -137,23 +134,15 @@ tape( 'the function evaluates the logpdf for `x` given large `alpha` and `beta`'
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 40.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large parameter `alpha`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -164,23 +153,15 @@ tape( 'the function evaluates the logpdf for `x` given large parameter `alpha`',
beta = largeAlpha.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 40.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large parameter `beta`', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -191,13 +172,7 @@ tape( 'the function evaluates the logpdf for `x` given large parameter `beta`',
beta = largeBeta.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 20.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/pareto-type1/logpdf/test/test.native.js
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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 tryRequire = require( '@stdlib/utils/try-require' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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' );


// VARIABLES //
Expand Down Expand Up @@ -132,10 +131,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test

tape( 'the function evaluates the logpdf for `x` given large `alpha` and `beta`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -146,23 +143,15 @@ tape( 'the function evaluates the logpdf for `x` given large `alpha` and `beta`'
beta = bothLarge.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 5000.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large parameter `alpha`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -173,23 +162,15 @@ tape( 'the function evaluates the logpdf for `x` given large parameter `alpha`',
beta = largeAlpha.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 5000.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large parameter `beta`', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var x;
var y;
Expand All @@ -200,13 +181,7 @@ tape( 'the function evaluates the logpdf for `x` given large parameter `beta`',
beta = largeBeta.beta;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( 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 = 5000.0 * 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 ], 1 ), true, 'returns expected value' );
}
t.end();
});