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test.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2018 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var tape = require( 'tape' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var randu = require( '@stdlib/random/base/randu' );
var abs = require( '@stdlib/math/base/special/abs' );
var exp = require( '@stdlib/math/base/special/exp' );
var expm1 = require( '@stdlib/math/base/special/expm1' );
var EPS = require( '@stdlib/constants/float64/eps' );
var ln = require( '@stdlib/math/base/special/ln' );
var log1p = require( '@stdlib/math/base/special/log1p' );
var LN2 = require( '@stdlib/constants/float64/ln-two' );
var log1mexp = require( './../lib' );
// FIXTURES //
var data = require( './fixtures/r/data.json' );
var expected = require( './fixtures/r/expected.json' );
// TESTS //
tape( 'main export is a function', function test( t ) {
t.ok( true, __filename );
t.strictEqual( typeof log1mexp, 'function', 'main export is a function' );
t.end();
});
tape( 'if provided `NaN`, the function returns `NaN`', function test( t ) {
var v = log1mexp( NaN );
t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});
tape( 'if provided `+-0`, the function returns -infinity', function test( t ) {
var v;
v = log1mexp( 0.0 );
t.strictEqual( v, NINF, 'returns expected value' );
v = log1mexp( -0.0 );
t.strictEqual( v, NINF, 'returns expected value' );
t.end();
});
tape( 'the function computes the natural logarithm of `1-exp(-|x|)` (`0 < |x| <= ln(2)`)', function test( t ) {
var x;
var y;
var v;
var i;
for ( i = 0; i < 1e3; i++ ) {
v = randu() * LN2;
x = log1mexp( v );
y = ln( -expm1( -v ) );
t.strictEqual( x, y, 'returns '+y+' when provided '+v );
}
t.end();
});
tape( 'the function computes the natural logarithm of `1-exp(-|x|)` (`x > ln(2)`)', function test( t ) {
var x;
var y;
var v;
var i;
for ( i = 0; i < 1e3; i++ ) {
v = LN2 + EPS + (randu()*100.0);
x = log1mexp( v );
y = log1p( -exp( -v ) );
t.strictEqual( x, y, 'returns '+y+' when provided '+v );
}
t.end();
});
tape( 'the function accurately computes the natural logarithm of `1-exp(-|x|)`', function test( t ) {
var actual;
var delta;
var tol;
var i;
for ( i = 0; i < data.length; i++ ) {
actual = log1mexp( data[ i ] );
if ( actual === expected[ i ] ) {
t.strictEqual( actual, expected[ i ], 'returns '+expected[ i ]+' when provided '+data[ i ] );
} else {
delta = abs( actual - expected[ i ] );
tol = 100.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+data[ i ]+'. actual: '+actual+'. expected: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
}
t.end();
});