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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 median = require( './../lib' );


Expand Down Expand Up @@ -76,8 +75,6 @@ tape( 'if provided `a > b`, the function returns `NaN`', function test( t ) {

tape( 'the function returns the median of a discrete uniform distribution', function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var i;
Expand All @@ -88,13 +85,7 @@ tape( 'the function returns the median of a discrete uniform distribution', func
b = data.b;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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]+'. 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 @@ -22,9 +22,8 @@

var resolve = require( 'path' ).resolve;
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 EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );


Expand Down Expand Up @@ -60,8 +59,6 @@ tape( 'if provided `a > b`, the function returns `NaN`', opts, function test( t

tape( 'the function returns the median of a discrete uniform distribution', opts, function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var i;
Expand All @@ -72,13 +69,7 @@ tape( 'the function returns the median of a discrete uniform distribution', opts
b = data.b;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});