Skip to content

docs: fix parameter descriptions and update spacing #13671

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kgryte merged 2 commits into from
Jul 26, 2026
Merged

docs: fix parameter descriptions and update spacing #13671

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
0d93603
chore: apply clean-up across `stats/base/dists/{anglit,invgamma}`
claude Jul 26, 2026
2dc8aa9
style: remove extraneous whitespace in `blas/base/gscal`
claude Jul 26, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/blas/base/gscal/lib/main.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ var ndarray = require( './ndarray.js' );
* @param {PositiveInteger} N - number of indexed elements
* @param {number} alpha - scalar constant
* @param {NumericArray} x - input array
* @param {PositiveInteger} stride - stride length
* @param {PositiveInteger} stride - stride length
* @returns {NumericArray} input array
*
* @example
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/cdf/test/test.cdf.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -95,11 +95,11 @@ tape( 'the function evaluates the cdf for `x` given `mu` and `sigma`', function
sigma = data.sigma;

for ( i = 0; i < x.length; i++ ) {
y = cdf( x[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', σ: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = cdf( x[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'x: '+x[ i ]+', mu: '+mu[ i ]+', σ: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 3 ), 'within tolerance. x: '+x[i]+'. mu: '+mu[i]+'. σ: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 3 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[ i ]+'. σ: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/cdf/test/test.factory.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -130,12 +130,12 @@ tape( 'the created function evaluates the cdf for `x` given `mu` and `sigma`', f
sigma = data.sigma;

for ( i = 0; i < x.length; i++ ) {
cdf = factory( mu[i], sigma[i] );
y = cdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual(y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', σ: '+sigma[i]+', y: '+y+', expected: '+expected[i]);
cdf = factory( mu[ i ], sigma[ i ] );
y = cdf( x[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'x: '+x[ i ]+', mu: '+mu[ i ]+', σ: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 3 ), 'within tolerance. x: '+x[i]+'. mu: '+mu[i]+'. σ: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 3 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[ i ]+'. σ: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/cdf/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,11 +104,11 @@ tape( 'the function evaluates the cdf for `x` given `mu` and `sigma`', opts, fun
sigma = data.sigma;

for ( i = 0; i < x.length; i++ ) {
y = cdf( x[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', σ: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = cdf( x[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'x: '+x[ i ]+', mu: '+mu[ i ]+', σ: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 3 ), 'within tolerance. x: '+x[i]+'. mu: '+mu[i]+'. σ: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 3 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[ i ]+'. σ: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/entropy/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@
t.end();
});

tape( 'the function returns the differential entropy of an anglit distribution', function test( t ) {

Check warning on line 64 in lib/node_modules/@stdlib/stats/base/dists/anglit/entropy/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -72,11 +72,11 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < expected.length; i++ ) {
y = entropy( mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = entropy( mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 5 ), 'within tolerance. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 5 ), 'within tolerance. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/entropy/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@
t.end();
});

tape( 'the function returns the differential entropy of an anglit distribution', opts, function test( t ) {

Check warning on line 73 in lib/node_modules/@stdlib/stats/base/dists/anglit/entropy/test/test.native.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -81,11 +81,11 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < expected.length; i++ ) {
y = entropy( mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = entropy( mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 5 ), 'within tolerance. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 5 ), 'within tolerance. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
20 changes: 10 additions & 10 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/mean/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@
t.end();
});

tape( 'the function returns the expected value of an anglit distribution', function test( t ) {

Check warning on line 79 in lib/node_modules/@stdlib/stats/base/dists/anglit/mean/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -87,8 +87,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -104,8 +104,8 @@
mu = smallMu.mu;
sigma = smallMu.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -121,8 +121,8 @@
mu = largeMu.mu;
sigma = largeMu.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -138,8 +138,8 @@
mu = smallSigma.mu;
sigma = smallSigma.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -155,8 +155,8 @@
mu = largeSigma.mu;
sigma = largeSigma.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
20 changes: 10 additions & 10 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/mean/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,7 @@
t.end();
});

tape( 'the function returns the expected value of an anglit distribution', opts, function test( t ) {

Check warning on line 87 in lib/node_modules/@stdlib/stats/base/dists/anglit/mean/test/test.native.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -95,8 +95,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -112,8 +112,8 @@
mu = smallMu.mu;
sigma = smallMu.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -129,8 +129,8 @@
mu = largeMu.mu;
sigma = largeMu.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -146,8 +146,8 @@
mu = smallSigma.mu;
sigma = smallSigma.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
Expand All @@ -163,8 +163,8 @@
mu = largeSigma.mu;
sigma = largeSigma.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mean( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mean( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/median/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
t.end();
});

tape( 'the function returns the median of an anglit distribution', function test( t ) {

Check warning on line 75 in lib/node_modules/@stdlib/stats/base/dists/anglit/median/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -83,8 +83,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = median( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = median( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/median/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@
t.end();
});

tape( 'the function returns the median of an anglit distribution', opts, function test( t ) {

Check warning on line 84 in lib/node_modules/@stdlib/stats/base/dists/anglit/median/test/test.native.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -92,8 +92,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = median( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = median( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/mode/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
t.end();
});

tape( 'the function returns the mode of an anglit distribution', function test( t ) {

Check warning on line 75 in lib/node_modules/@stdlib/stats/base/dists/anglit/mode/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -83,8 +83,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mode( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mode( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/mode/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,7 @@
t.end();
});

tape( 'the function returns the mode of an anglit distribution', opts, function test( t ) {

Check warning on line 87 in lib/node_modules/@stdlib/stats/base/dists/anglit/mode/test/test.native.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

Unknown word: "anglit"
var expected;
var sigma;
var mu;
Expand All @@ -95,8 +95,8 @@
mu = data.mu;
sigma = data.sigma;
for ( i = 0; i < mu.length; i++ ) {
y = mode( mu[i], sigma[i] );
t.strictEqual( y, expected[i], 'returns expected value' );
y = mode( mu[ i ], sigma[ i ] );
t.strictEqual( y, expected[ i ], 'returns expected value' );
}
t.end();
});
30 changes: 15 additions & 15 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/quantile/test/test.factory.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -140,12 +140,12 @@ tape( 'the created function evaluates the quantile function at `p` given positiv
mu = positiveMu.mu;
sigma = positiveMu.sigma;
for ( i = 0; i < p.length; i++ ) {
quantile = factory( mu[i], sigma[i] );
y = quantile( p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
quantile = factory( mu[ i ], sigma[ i ] );
y = quantile( p[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -165,12 +165,12 @@ tape( 'the created function evaluates the quantile function at `p` given negativ
mu = negativeMu.mu;
sigma = negativeMu.sigma;
for ( i = 0; i < p.length; i++ ) {
quantile = factory( mu[i], sigma[i] );
y = quantile( p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
quantile = factory( mu[ i ], sigma[ i ] );
y = quantile( p[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -190,12 +190,12 @@ tape( 'the created function evaluates the quantile function at `p` given large `
mu = largeSigma.mu;
sigma = largeSigma.sigma;
for ( i = 0; i < p.length; i++ ) {
quantile = factory( mu[i], sigma[i] );
y = quantile( p[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
quantile = factory( mu[ i ], sigma[ i ] );
y = quantile( p[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
24 changes: 12 additions & 12 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/quantile/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -125,11 +125,11 @@ tape( 'the function evaluates the quantile function at `p` given positive `mu`',
mu = positiveMu.mu;
sigma = positiveMu.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -148,11 +148,11 @@ tape( 'the function evaluates the quantile function at `p` given negative `mu`',
mu = negativeMu.mu;
sigma = negativeMu.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -171,11 +171,11 @@ tape( 'the function evaluates the quantile function at `p` given large `sigma`',
mu = largeSigma.mu;
sigma = largeSigma.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
24 changes: 12 additions & 12 deletions lib/node_modules/@stdlib/stats/base/dists/anglit/quantile/test/test.quantile.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,11 +116,11 @@ tape( 'the function evaluates the quantile function at `p` given positive `mu`',
mu = positiveMu.mu;
sigma = positiveMu.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 5 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -139,11 +139,11 @@ tape( 'the function evaluates the quantile function at `p` given negative `mu`',
mu = negativeMu.mu;
sigma = negativeMu.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 80 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand All @@ -162,11 +162,11 @@ tape( 'the function evaluates the quantile function at `p` given large `sigma`',
mu = largeSigma.mu;
sigma = largeSigma.sigma;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], mu[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'p: '+p[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
y = quantile( p[ i ], mu[ i ], sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'p: '+p[ i ]+', mu: '+mu[ i ]+', sigma: '+sigma[ i ]+', y: '+y+', expected: '+expected[ i ] );
} else {
t.ok( isAlmostSameValue( y, expected[i], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
t.ok( isAlmostSameValue( y, expected[ i ], 500 ), 'within tolerance. p: '+p[ i ]+'. mu: '+mu[ i ]+'. sigma: '+sigma[ i ]+'. y: '+y+'. E: '+expected[ i ]+'.' );
}
}
t.end();
Expand Down
Loading