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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 abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var kurtosis = require( './../lib' );


Expand Down Expand Up @@ -105,10 +104,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t )

tape( 'the function returns the excess kurtosis of a Pareto (Type I) distribution', function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var y;

Expand All @@ -117,13 +114,7 @@ tape( 'the function returns the excess kurtosis of a Pareto (Type I) distributio
beta = data.beta;
for ( i = 0; i < expected.length; i++ ) {
y = kurtosis( alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[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. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
Original file line number Diff line number Diff line change
Expand Up @@ -22,12 +22,11 @@

var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var tryRequire = require( '@stdlib/utils/try-require' );
var abs = require( '@stdlib/math/base/special/abs' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
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 @@ -114,10 +113,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test

tape( 'the function returns the excess kurtosis of a Pareto (Type I) distribution', opts, function test( t ) {
var expected;
var delta;
var alpha;
var beta;
var tol;
var i;
var y;

Expand All @@ -126,13 +123,7 @@ tape( 'the function returns the excess kurtosis of a Pareto (Type I) distributio
beta = data.beta;
for ( i = 0; i < expected.length; i++ ) {
y = kurtosis( alpha[i], beta[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});