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test: migrate stats/base/dists/rayleigh/logpdf to ULP-based assertions #16207

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test: migrate stats/base/dists/rayleigh/logpdf to ULP-based assertions #16207

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21 changes: 4 additions & 17 deletions lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.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 logpdf = require( './../lib' );


Expand Down Expand Up @@ -102,9 +101,7 @@ tape( 'if provided `sigma` equal to `0`, the function evaluates a degenerate dis

tape( 'the function evaluates the logpdf for `x` given small scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -118,9 +115,7 @@ tape( 'the function evaluates the logpdf for `x` given small scale parameter `si
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 15.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 24 ), 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
}
Expand All @@ -129,9 +124,7 @@ tape( 'the function evaluates the logpdf for `x` given small scale parameter `si

tape( 'the function evaluates the logpdf for `x` given medium scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -145,9 +138,7 @@ tape( 'the function evaluates the logpdf for `x` given medium scale parameter `s
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 2 ), 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
}
Expand All @@ -156,9 +147,7 @@ tape( 'the function evaluates the logpdf for `x` given medium scale parameter `s

tape( 'the function evaluates the logpdf for `x` given large scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -172,9 +161,7 @@ tape( 'the function evaluates the logpdf for `x` given large scale parameter `si
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 2 ), 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
}
Expand Down
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