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merged 1 commit into from
Mar 1, 2025
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test: add tests to achieve 100% code coverage #5636

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1 change: 0 additions & 1 deletion lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/fixtures/julia/data.json
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1 change: 1 addition & 0 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/fixtures/julia/data1.json
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1 change: 1 addition & 0 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/fixtures/julia/data2.json
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8 changes: 6 additions & 2 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/fixtures/julia/runner.jl
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -74,6 +74,10 @@ dir = dirname( file );
# Generate fixtures:
a = rand( 500 ) .* 10.0;
b = ( rand( 500 ) .* 10.0 ) .+ a;
c = a .+ ( b .- a ) .* rand();
gen( a, b, c, "data.json" );
# Case: c < (a + b) / 2
c1 = a .+ ( b .- a ) .* ( 0.5 .* rand( 500 ) );
gen( a, b, c1, "data1.json" );
# Case: c >= (a + b) / 2
c2 = ( a .+ b ) ./ 2 .+ ( b .- a ) .* ( 0.5 .* rand( 500 ) );
gen( a, b, c2, "data2.json" );

54 changes: 41 additions & 13 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js
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Expand Up @@ -29,7 +29,8 @@ var median = require( './../lib' );

// FIXTURES //

var data = require( './fixtures/julia/data.json' );
var data1 = require( './fixtures/julia/data1.json' );
var data2 = require( './fixtures/julia/data2.json' );


// TESTS //
Expand All @@ -42,13 +43,13 @@ tape( 'main export is a function', function test( t ) {

tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
var v = median( NaN, 1.0, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = median( 0.0, NaN, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = median( 0.0, 10.0, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -57,21 +58,21 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns
var y;

y = median( -1.0, -1.1, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 3.0, 2.0, 2.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 0.0, 1.0, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 0.0, 1.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});

tape( 'the function returns the median of a triangular distribution', function test( t ) {
tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', function test( t ) {
var expected;
var delta;
var tol;
Expand All @@ -81,10 +82,37 @@ tape( 'the function returns the median of a triangular distribution', function t
var i;
var y;

expected = data.expected;
a = data.a;
b = data.b;
c = data.c;
expected = data1.expected;
a = data1.a;
b = data1.b;
c = data1.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
}
t.end();
});

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
var i;
var y;

expected = data2.expected;
a = data2.a;
b = data2.b;
c = data2.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
Expand Down
54 changes: 41 additions & 13 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,8 @@ var EPS = require( '@stdlib/constants/float64/eps' );

// FIXTURES //

var data = require( './fixtures/julia/data.json' );
var data1 = require( './fixtures/julia/data1.json' );
var data2 = require( './fixtures/julia/data2.json' );


// VARIABLES //
Expand All @@ -51,13 +52,13 @@ tape( 'main export is a function', opts, function test( t ) {

tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
var v = median( NaN, 1.0, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = median( 0.0, NaN, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = median( 0.0, 10.0, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -66,21 +67,21 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns
var y;

y = median( -1.0, -1.1, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 3.0, 2.0, 2.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 0.0, 1.0, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( 0.0, 1.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});

tape( 'the function returns the median of a triangular distribution', opts, function test( t ) {
tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', opts, function test( t ) {
var expected;
var delta;
var tol;
Expand All @@ -90,10 +91,37 @@ tape( 'the function returns the median of a triangular distribution', opts, func
var i;
var y;

expected = data.expected;
a = data.a;
b = data.b;
c = data.c;
expected = data1.expected;
a = data1.a;
b = data1.b;
c = data1.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', c: '+c[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
}
t.end();
});

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', opts, function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
var i;
var y;

expected = data2.expected;
a = data2.a;
b = data2.b;
c = data2.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
Expand Down