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More unit tests

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This commit is contained in:
Dennis Eichhorn 2018-09-02 21:26:00 +02:00
parent 766b79cfd3
commit 0e8876ce4d
13 changed files with 212 additions and 25 deletions
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2
DataStorage/Cookie/CookieJar.php
View File

@ -129,7 +129,7 @@ final class CookieJar
throw new LockException('CookieJar');
}
if (!headers_sent()) {
if (!\headers_sent()) {
\setcookie($id, '', time() - 3600);
return true;

26
Math/Statistic/Average.php
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@ -124,9 +124,9 @@ final class Average
$start = $t - 1 - ($periods - 2);
if (!empty($weight)) {
return self::weightedAverage(array_slice($x, $start, $end - $start), array_slice($weight, $start, $end - $start));
return self::weightedAverage(\array_slice($x, $start, $end - $start), \array_slice($weight, $start, $end - $start));
} else {
return self::arithmeticMean(array_slice($x, $start, $end - $start));
return self::arithmeticMean(\array_slice($x, $start, $end - $start));
}
}
@ -180,7 +180,7 @@ final class Average
throw new ZeroDevisionException();
}
return array_sum($values) / $count;
return \array_sum($values) / $count;
}
/**
@ -196,7 +196,7 @@ final class Average
*/
public static function mode(array $values) : float
{
$count = array_count_values($values);
$count = \array_count_values($values);
$best = \max($count);
return (float) (\array_keys($count, $best)[0] ?? 0.0);
@ -217,7 +217,7 @@ final class Average
{
\sort($values);
$count = \count($values);
$middleval = (int) floor(($count - 1) / 2);
$middleval = (int) \floor(($count - 1) / 2);
if ($count % 2) {
$median = $values[$middleval];
@ -274,7 +274,7 @@ final class Average
\sort($values);
if ($offset > 0) {
$values = array_slice($values, $offset, -$offset);
$values = \array_slice($values, $offset, -$offset);
}
$count = \count($values);
@ -310,14 +310,14 @@ final class Average
$size = \count($angles);
for ($i = 0; $i < $size; ++$i) {
$x += \cos(deg2rad($angles[$i]));
$y += \sin(deg2rad($angles[$i]));
$x += \cos(\deg2rad($angles[$i]));
$y += \sin(\deg2rad($angles[$i]));
}
$x /= $size;
$y /= $size;
return rad2deg(atan2($y, $x));
return \rad2deg(\atan2($y, $x));
}
/**
@ -337,20 +337,20 @@ final class Average
\sort($angles);
if ($offset > 0) {
$angles = array_slice($angles, $offset, -$offset);
$angles = \array_slice($angles, $offset, -$offset);
}
$sins = 0.0;
$coss = 0.0;
foreach ($angles as $a) {
$sins += \sin(deg2rad($a));
$coss += \cos(deg2rad($a));
$sins += \sin(\deg2rad($a));
$coss += \cos(\deg2rad($a));
}
$avgsin = $sins / (0.0 + \count($angles));
$avgcos = $coss / (0.0 + \count($angles));
$avgang = rad2deg(atan2($avgsin, $avgcos));
$avgang = \rad2deg(\atan2($avgsin, $avgcos));
while ($avgang < 0.0) {
$avgang += 360.0;

4
Math/Statistic/Forecast/Error.php
View File

@ -356,7 +356,7 @@ class Error
}
/**
* Get mean absolute scaled error (MASE)
* Get mean absolute scaled error (MSSE)
*
* @param array $scaledErrors Scaled errors
*
@ -386,7 +386,7 @@ class Error
$naive = 1 / (\count($observed) - $m) * self::getNaiveForecast($observed, $m);
foreach ($errors as $error) {
$error[] = $error / $naive;
$scaled[] = $error / $naive;
}
return $scaled;

16
Math/Statistic/Forecast/Regression/MultipleLinearRegression.php
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@ -45,4 +45,20 @@ class MultipleLinearRegression
public static function getPredictionInterval() : array
{
}
/**
* {@inheritdoc}
*/
public static function getSlope(float $b1, float $y, float $x) : float
{
return 0.0;
}
/**
* {@inheritdoc}
*/
public static function getElasticity(float $b1, float $y, float $x): float
{
return 0.0;
}
}

10
Math/Statistic/Forecast/Regression/RegressionAbstract.php
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@ -164,10 +164,7 @@ abstract class RegressionAbstract
*
* @since 1.0.0
*/
public static function getSlope(float $b1, float $x, float $y) : float
{
return 0.0;
}
abstract public static function getSlope(float $b1, float $x, float $y) : float;
/**
* Get elasticity
@ -180,8 +177,5 @@ abstract class RegressionAbstract
*
* @since 1.0.0
*/
public static function getElasticity(float $b1, float $x, float $y): float
{
return 0.0;
}
abstract public static function getElasticity(float $b1, float $x, float $y): float;
}

15
Math/Statistic/MeasureOfDispersion.php
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@ -229,7 +229,20 @@ final class MeasureOfDispersion
*/
public static function getIQR(array $x) : float
{
return 0.0;
$count = \count($x);
if ($count % 2 !== 0) {
--$count;
}
$count /= 2;
\sort($x);
$Q1 = Average::median(\array_slice($x, 0, $count));
$Q3 = Average::median(\array_slice($x, -$count, $count));
return $Q3 - $Q1;
}
/**

7
tests/DataStorage/Database/DataMapperAbstractTest.php
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@ -146,6 +146,13 @@ class DataMapperAbstractTest extends \PHPUnit\Framework\TestCase
$GLOBALS['dbpool']->get()->con->prepare('DROP TABLE oms_test_has_many_rel_relations')->execute();
}
public function testDefault()
{
self::assertEquals('test_base_id', BaseModelMapper::getPrimaryField());
self::assertEquals('test_base', BaseModelMapper::getTable());
self::assertEquals('test_base_datetime', BaseModelMapper::getCreatedAt());
}
public function testCreate()
{
self::assertGreaterThan(0, BaseModelMapper::create($this->model));

28
tests/Math/Statistic/Forecast/ErrorTest.php
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@ -32,6 +32,8 @@ class ErrorTest extends \PHPUnit\Framework\TestCase
[300, 700, 200, -300]
)
);
self::assertEquals([Error::getForecastError(1000, 700)], Error::getForecastErrorArray([1000], [700]));
}
public function testErrorPercentage()
@ -67,4 +69,30 @@ class ErrorTest extends \PHPUnit\Framework\TestCase
self::assertEquals(125000, Error::getMeanSquaredError($errors), '', 0.01);
self::assertEquals(406.2019, Error::getRootMeanSquaredError($errors), '', 0.01);
}
public function testMASE()
{
$observed = [
-2.9, -2.83, -0.95, -0.88, 1.21, -1.67, 0.83, -0.27, 1.36,
-0.34, 0.48, -2.83, -0.95, -0.88, 1.21, -1.67, -2.99, 1.24, 0.64
];
$forecast = [
-2.95, -2.7, -1.00, -0.68, 1.50, -1.00, 0.90, -0.37, 1.26,
-0.54, 0.58, -2.13, -0.75, -0.89, 1.25, -1.65, -3.20, 1.29, 0.60
];
$errors = Error::getForecastErrorArray($observed, $forecast);
$scaledErrors = Error::getScaledErrorArray($errors, $observed);
self::assertEquals(0.0983, Error::getMeanAbsoluteScaledError($scaledErrors), '', 0.01);
}
public function testScaledError()
{
self::assertEquals(
[Error::getScaledError(Error::getForecastError(1000, 700), 1000)],
Error::getScaledErrorArray([Error::getForecastError(1000, 700)], [1000])
);
}
}

32
tests/Math/Statistic/Forecast/Regression/LevelLevelRegressionTest.php Normal file
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@ -0,0 +1,32 @@
<?php
/**
* Orange Management
*
* PHP Version 7.2
*
* @package TBD
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://website.orange-management.de
*/
namespace phpOMS\tests\Math\Statistic\Forecast\Regression;
use phpOMS\Math\Statistic\Forecast\Regression\LevelLevelRegression;
class LevelLevelRegressionTest extends \PHPUnit\Framework\TestCase
{
public function testRegression()
{
// y = 3 + 4 * x
$x = [0, 1, 2, 3, 4];
$y = [3, 7, 11, 15, 19];
$reg = LevelLevelRegression::getRegression($x, $y);
self::assertEquals(['b0' => 3, 'b1' => 4], $reg, '', 0.2);
self::assertEquals(4, LevelLevelRegression::getSlope($reg['b1'], 0, 0));
self::assertEquals(22, LevelLevelRegression::getElasticity($reg['b1'], 11, 2));
}
}

31
tests/Math/Statistic/Forecast/Regression/LevelLogRegressionTest.php Normal file
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@ -0,0 +1,31 @@
<?php
/**
* Orange Management
*
* PHP Version 7.2
*
* @package TBD
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://website.orange-management.de
*/
namespace phpOMS\tests\Math\Statistic\Forecast\Regression;
use phpOMS\Math\Statistic\Forecast\Regression\LevelLogRegression;
use phpOMS\Math\Statistic\Forecast\Regression\LevelLevelRegression;
class LevelLogRegressionTest extends \PHPUnit\Framework\TestCase
{
public function testRegression()
{
// y = 1 + log(x)
$x = [0.25, 0.5, 1, 1.5];
$y = [-0.386, 0.307, 1, 1.405];
$reg = LevelLogRegression::getRegression($x, $y);
self::assertEquals(['b0' => 1, 'b1' => 1], $reg, '', 0.2);
}
}

30
tests/Math/Statistic/Forecast/Regression/LogLevelRegressionTest.php Normal file
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@ -0,0 +1,30 @@
<?php
/**
* Orange Management
*
* PHP Version 7.2
*
* @package TBD
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://website.orange-management.de
*/
namespace phpOMS\tests\Math\Statistic\Forecast\Regression;
use phpOMS\Math\Statistic\Forecast\Regression\LogLevelRegression;
class LogLevelRegressionTest extends \PHPUnit\Framework\TestCase
{
public function testRegression()
{
// ln(y) = -1 + 2 * x => y = e^(-1 + 2 * x)
$x = [0.25, 0.5, 1, 1.5];
$y = [0.6065, 1, 2.718, 7.389];
$reg = LogLevelRegression::getRegression($x, $y);
self::assertEquals(['b0' => -1, 'b1' => 2], $reg, '', 0.2);
}
}

30
tests/Math/Statistic/Forecast/Regression/LogLogRegressionTest.php Normal file
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@ -0,0 +1,30 @@
<?php
/**
* Orange Management
*
* PHP Version 7.2
*
* @package TBD
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://website.orange-management.de
*/
namespace phpOMS\tests\Math\Statistic\Forecast\Regression;
use phpOMS\Math\Statistic\Forecast\Regression\LogLogRegression;
class LogLogRegressionTest extends \PHPUnit\Framework\TestCase
{
public function testRegression()
{
// ln(y) = 2 + 3 * ln(x) => y = e^(2 + 3 * ln(x))
$x = [0.25, 0.5, 1, 1.5];
$y = [0.115, 0.924, 7.389, 24.938];
$reg = LogLogRegression::getRegression($x, $y);
self::assertEquals(['b0' => 2, 'b1' => 3], $reg, '', 0.2);
}
}

6
tests/Math/Statistic/MeasureOfDispersionTest.php
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@ -56,6 +56,12 @@ class MeasureOfDispersionTest extends \PHPUnit\Framework\TestCase
self::assertEquals(0.5400, MeasureOfDispersion::empiricalVariationCoefficient([1, 2, 3, 4, 5, 6, 7]), '', 0.01);
}
public function testIQR()
{
$x = [7, 7, 31, 31, 47, 75, 87, 115, 116, 119, 119, 155, 177];
self::assertEquals(88, MeasureOfDispersion::getIQR($x));
}
/**
* @expectedException phpOMS\Math\Exception\ZeroDevisionException
*/