Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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 factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -113,10 +112,8 @@ tape( 'if provided a nonpositive `sigma`, the created function always returns `N

tape( 'the created function evaluates the MGF for `x` given positive `mu`', function test( t ) {
var expected;
var delta;
var sigma;
var mgf;
var tol;
var mu;
var x;
var y;
Expand All @@ -130,24 +127,16 @@ tape( 'the created function evaluates the MGF for `x` given positive `mu`', func
mgf = factory( mu[i], sigma[i] );
y = mgf( x[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1867 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the created function evaluates the MGF for `x` given negative `mu`', function test( t ) {
var expected;
var delta;
var sigma;
var mgf;
var tol;
var mu;
var x;
var y;
Expand All @@ -161,24 +150,16 @@ tape( 'the created function evaluates the MGF for `x` given negative `mu`', func
mgf = factory( mu[i], sigma[i] );
y = mgf( x[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1050.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2039 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the created function evaluates the MGF for `x` given large variance ( = large `sigma`)', function test( t ) {
var expected;
var delta;
var sigma;
var mgf;
var tol;
var mu;
var x;
var y;
Expand All @@ -192,13 +173,7 @@ tape( 'the created function evaluates the MGF for `x` given large variance ( = l
mgf = factory( mu[i], sigma[i] );
y = mgf( x[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 700.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 969 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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 mgf = require( './../lib' );


Expand Down Expand Up @@ -83,9 +82,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function

tape( 'the function evaluates the MGF for `x` given positive `mu`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -98,23 +95,15 @@ tape( 'the function evaluates the MGF for `x` given positive `mu`', function tes
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1867 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given negative `mu`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -127,23 +116,15 @@ tape( 'the function evaluates the MGF for `x` given negative `mu`', function tes
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1050.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2039 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large variance ( = large `sigma` )', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -156,13 +137,7 @@ tape( 'the function evaluates the MGF for `x` given large variance ( = large `si
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 700.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 969 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
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 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' );


// FIXTURES //
Expand Down Expand Up @@ -92,9 +91,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun

tape( 'the function evaluates the MGF for `x` given positive `mu`', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -107,23 +104,15 @@ tape( 'the function evaluates the MGF for `x` given positive `mu`', opts, functi
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1200.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1867 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given negative `mu`', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -136,23 +125,15 @@ tape( 'the function evaluates the MGF for `x` given negative `mu`', opts, functi
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1050.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 2039 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the MGF for `x` given large variance ( = large `sigma` )', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var mu;
var x;
var y;
Expand All @@ -165,13 +146,7 @@ tape( 'the function evaluates the MGF for `x` given large variance ( = large `si
for ( i = 0; i < x.length; i++ ) {
y = mgf( x[i], mu[i], sigma[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 700.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 969 ), true, 'returns expected value' );
}
}
t.end();
Expand Down