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test: collapse exact-match guard in stats/base/dists/wald tests #11880

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Merged
kgryte merged 1 commit into from
May 2, 2026
Merged

test: collapse exact-match guard in stats/base/dists/wald tests #11880

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6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/pdf/test/test.factory.js
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Expand Up @@ -256,11 +256,7 @@ tape( 'the created function evaluates the pdf for `x` given parameters `mu` and
for ( i = 0; i < x.length; i++ ) {
pdf = factory( mu[i], lambda[i] );
y = pdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 1500 ), true, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/pdf/test/test.native.js
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Expand Up @@ -217,11 +217,7 @@ tape( 'the function evaluates the pdf for `x` given parameters `mu` and `lambda`
lambda = data.lambda;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 1500 ), true, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/pdf/test/test.pdf.js
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Expand Up @@ -208,11 +208,7 @@ tape( 'the function evaluates the pdf for `x` given parameters `mu` and `lambda`
lambda = data.lambda;
for ( i = 0; i < x.length; i++ ) {
y = pdf( x[i], mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 1500 ), true, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/skewness/test/test.js
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Expand Up @@ -111,11 +111,7 @@ tape( 'the function returns the skewness of a Wald distribution', function test(
lambda = data.lambda;
for ( i = 0; i < mu.length; i++ ) {
y = skewness( mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 20 ), true, 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/skewness/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -120,11 +120,7 @@ tape( 'the function returns the skewness of a Wald distribution', opts, function
lambda = data.lambda;
for ( i = 0; i < mu.length; i++ ) {
y = skewness( mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 20 ), true, 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/variance/test/test.js
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Expand Up @@ -111,11 +111,7 @@ tape( 'the function returns the variance of a Wald distribution', function test(
lambda = data.lambda;
for ( i = 0; i < mu.length; i++ ) {
y = variance( mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 20 ), true, 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});
6 changes: 1 addition & 5 deletions lib/node_modules/@stdlib/stats/base/dists/wald/variance/test/test.native.js
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Expand Up @@ -120,11 +120,7 @@ tape( 'the function returns the variance of a Wald distribution', opts, function
lambda = data.lambda;
for ( i = 0; i < mu.length; i++ ) {
y = variance( mu[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 20 ), 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[i], 20 ), true, 'within tolerance. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
t.end();
});