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test: migrate stats/kde2d to ULP-based assertions #15331

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81 changes: 10 additions & 71 deletions lib/node_modules/@stdlib/stats/kde2d/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,7 @@
// MODULES //

var tape = require( 'tape' );
var EPS = require( '@stdlib/constants/float64/eps' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var kde2d = require( './../lib' );
var dataX = require( './fixtures/r/datax.json' );
Expand Down Expand Up @@ -235,45 +234,25 @@ tape( 'the function computes the same values with `ndarray` and numeric array in

tape( 'the function correctly computes 2 dimensional normal KDE for a small dataset', function test( t ) {
var actual;
var delta;
var tol;
var i;
var j;

actual = kde2d(dataXSmall, dataYSmall);

// Check x
for ( i = 0; i < actual.x.length; i++ ) {
if ( actual.x[i] === expectedSmall.x[i] ) {
t.strictEqual( actual.x[i], expectedSmall.x[i], 'x: '+actual.x[i]+', expected: '+expectedSmall.x[i] );
} else {
delta = abs( actual.x[i] - expectedSmall.x[ i ] );
tol = 200.0 * EPS * abs( expectedSmall.x[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+actual.x[ i ]+'. E: '+expectedSmall.x[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.x[ i ], expectedSmall.x[ i ], 0 ), true, 'returns expected value' );
}

// Check y
for ( i = 0; i < actual.y.length; i++ ) {
if ( actual.y[i] === expectedSmall.y[i] ) {
t.strictEqual( actual.y[i], expectedSmall.y[i], 'x: '+actual.y[i]+', expected: '+expectedSmall.y[i] );
} else {
delta = abs( actual.y[i] - expectedSmall.y[ i ] );
tol = 200.0 * EPS * abs( expectedSmall.y[ i ] );
t.ok( delta <= tol, 'within tolerance. y: '+actual.y[ i ]+'. E: '+expectedSmall.y[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.y[ i ], expectedSmall.y[ i ], 0 ), true, 'returns expected value' );
}

// Check z
for ( i = 0; i < actual.x.length; i++ ) {
for ( j = 0; j < actual.y.length; j++ ) {
if ( actual.z.get(i, j) === expectedSmall.z[i][j] ) {
t.strictEqual( actual.z.get(i, j), expectedSmall.z[i][j], 'z: '+actual.z.get(i, j)+', expected: '+expectedSmall.z[i][j] );
} else {
delta = abs( actual.z.get(i, j) - expectedSmall.z[i][j] );
tol = 1500.0 * EPS * abs( expectedSmall.z[i][j] );
t.ok( delta <= tol, 'within tolerance. z: '+actual.z.get(i, j)+'. E: '+expectedSmall.z[i][j]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.z.get( i, j ), expectedSmall.z[ i ][ j ], 4 ), true, 'returns expected value' );
}
}

Expand All @@ -282,45 +261,25 @@ tape( 'the function correctly computes 2 dimensional normal KDE for a small data

tape( 'the function correctly computes 2 dimensional normal KDE for a medium dataset', function test( t ) {
var actual;
var delta;
var tol;
var i;
var j;

actual = kde2d(dataX, dataY);

// Check x
for ( i = 0; i < actual.x.length; i++ ) {
if ( actual.x[i] === expected.x[i] ) {
t.strictEqual( actual.x[i], expected.x[i], 'x: '+actual.x[i]+', expected: '+expected.x[i] );
} else {
delta = abs( actual.x[i] - expected.x[ i ] );
tol = 500.0 * EPS * abs( expected.x[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+actual.x[ i ]+'. E: '+expected.x[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.x[ i ], expected.x[ i ], 0 ), true, 'returns expected value' );
}

// Check y
for ( i = 0; i < actual.y.length; i++ ) {
if ( actual.y[i] === expected.y[i] ) {
t.strictEqual( actual.y[i], expected.y[i], 'x: '+actual.y[i]+', expected: '+expected.y[i] );
} else {
delta = abs( actual.y[i] - expected.y[ i ] );
tol = 200.0 * EPS * abs( expected.y[ i ] );
t.ok( delta <= tol, 'within tolerance. y: '+actual.y[ i ]+'. E: '+expected.y[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.y[ i ], expected.y[ i ], 0 ), true, 'returns expected value' );
}

// Check z
for ( i = 0; i < actual.x.length; i++ ) {
for ( j = 0; j < actual.y.length; j++ ) {
if ( actual.z.get(i, j) === expected.z[i][j] ) {
t.strictEqual( actual.z.get(i, j), expected.z[i][j], 'z: '+actual.z.get(i, j)+', expected: '+expected.z[i][j] );
} else {
delta = abs( actual.z.get(i, j) - expected.z[i][j] );
tol = 2000.0 * EPS * abs( expected.z[i][j] );
t.ok( delta <= tol, 'within tolerance. z: '+actual.z.get(i, j)+'. E: '+expected.z[i][j]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.z.get( i, j ), expected.z[ i ][ j ], 28 ), true, 'returns expected value' );
}
}

Expand All @@ -329,45 +288,25 @@ tape( 'the function correctly computes 2 dimensional normal KDE for a medium dat

tape( 'the function correctly computes 2 dimensional normal KDE for a large dataset', function test( t ) {
var actual;
var delta;
var tol;
var i;
var j;

actual = kde2d(dataX2, dataY2);

// Check x
for ( i = 0; i < actual.x.length; i++ ) {
if ( actual.x[i] === expected2.x[i] ) {
t.strictEqual( actual.x[i], expected2.x[i], 'x: '+actual.x[i]+', expected2: '+expected2.x[i] );
} else {
delta = abs( actual.x[i] - expected2.x[ i ] );
tol = 250.0 * EPS * abs( expected2.x[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+actual.x[ i ]+'. E: '+expected2.x[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.x[ i ], expected2.x[ i ], 0 ), true, 'returns expected value' );
}

// Check y
for ( i = 0; i < actual.y.length; i++ ) {
if ( actual.y[i] === expected2.y[i] ) {
t.strictEqual( actual.y[i], expected2.y[i], 'x: '+actual.y[i]+', expected2: '+expected2.y[i] );
} else {
delta = abs( actual.y[i] - expected2.y[ i ] );
tol = 500.0 * EPS * abs( expected2.y[ i ] );
t.ok( delta <= tol, 'within tolerance. y: '+actual.y[ i ]+'. E: '+expected2.y[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.y[ i ], expected2.y[ i ], 0 ), true, 'returns expected value' );
}

// Check z
for ( i = 0; i < actual.x.length; i++ ) {
for ( j = 0; j < actual.y.length; j++ ) {
if ( actual.z.get(i, j) === expected2.z[i][j] ) {
t.strictEqual( actual.z.get(i, j), expected2.z[i][j], 'z: '+actual.z.get(i, j)+', expected2: '+expected2.z[i][j] );
} else {
delta = abs( actual.z.get(i, j) - expected2.z[i][j] );
tol = 2000.0 * EPS * abs( expected2.z[i][j] );
t.ok( delta <= tol, 'within tolerance. z: '+actual.z.get(i, j)+'. E: '+expected2.z[i][j]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual.z.get( i, j ), expected2.z[ i ][ j ], 17 ), true, 'returns expected value' );
}
}

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