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DictionaryTest.php
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DictionaryTest.php
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<?php
require_once(__DIR__.'/../autoload.php');
class DictionaryTest extends PHPUnit_Framework_TestCase
{
public function testDictionary()
{
$d = new Noop\Bayes\Dictionary\Dictionary();
$t = new Noop\Bayes\Token\TokenArray();
$t->fromArray(array('foo' => 1, 'bar' => 2, 'buzz' => 3));
$d->addTokens($t);
$this->assertEquals(array('foo' => array('count' => 1, 'weight' => 1/6),
'bar' => array('count' => 2, 'weight' => 1/3),
'buzz' => array('count' => 3, 'weight' => 1/2)), $d->dump());
$t->fromArray(array('foo' => 5));
$d->removeTokens($t);
$this->assertEquals(array('bar' => array('count' => 2, 'weight' => 2/5),
'buzz' => array('count' => 3, 'weight' => 3/5)), $d->dump());
$t->fromArray(array('bar' => 5, 'buzz' => 6));
$d->addTokens($t);
$this->assertEquals(array('bar' => array('count' => 7, 'weight' => 7/16),
'buzz' => array('count' => 9, 'weight' => 9/16)), $d->dump());
}
public function testSaving()
{
$d = new Noop\Bayes\Dictionary\Dictionary();
$t = new Noop\Bayes\Token\TokenArray();
$t->fromArray(array('foo' => 1, 'bar' => 2, 'buzz' => 3));
$d->addTokens($t);
$file = tempnam(sys_get_temp_dir(), 'noop_bayes');
$this->assertEquals(array('foo' => array('count' => 1, 'weight' => 1/6),
'bar' => array('count' => 2, 'weight' => 1/3),
'buzz' => array('count' => 3, 'weight' => 1/2)), $d->dump());
file_put_contents($file, serialize($d));
$d2 = unserialize(file_get_contents($file));
$this->assertEquals(array('foo' => array('count' => 1, 'weight' => 1/6),
'bar' => array('count' => 2, 'weight' => 1/3),
'buzz' => array('count' => 3, 'weight' => 1/2)), $d2->dump());
unlink($file);
}
public function testMatch()
{
$d = new Noop\Bayes\Dictionary\Dictionary();
$t = new Noop\Bayes\Token\TokenArray();
$ts = new Noop\Bayes\Tokenizer\String();
$t->fromArray(array('foo' => 1, 'bar' => 2, 'buzz' => 3));
$d->addTokens($t);
$p = $d->match($ts->tokenize('Some text containing no important words'));
$this->assertEquals(0.5, $p);
$p = $d->match($ts->tokenize('Some text containing only some minor words, like "foo"'));
$this->assertTrue($p < 0.6);
$p = $d->match($ts->tokenize('Some text containing some important words, like foo or bar'));
$this->assertTrue($p > 0.6 && $p < 0.7);
$p = $d->match($ts->tokenize('Some text containing majority of words, like buzz and bar'));
$this->assertTrue($p > 0.7);
}
public function testSerialize()
{
$d = new Noop\Bayes\Dictionary\Dictionary();
$t = new Noop\Bayes\Token\TokenArray();
$t->fromArray(array('foo' => 1, 'bar' => 2, 'buzz' => 3));
$d->addTokens($t);
$x = serialize($d);
$x = unserialize($x);
$this->assertEquals($d->getMaximalTokenLength(), $x->getMaximalTokenLength());
$this->assertEquals($d->getMinimalTokenLength(), $x->getMinimalTokenLength());
$this->assertEquals($d->getTokenCount(), $x->getTokenCount());
$this->assertEquals($d->getUsableTokenCount(), $x->getUsableTokenCount());
$this->assertEquals($d->dump(), $x->dump());
}
public function testNormalizeAndLengths()
{
$d = new \Noop\Bayes\Dictionary\Dictionary;
$t = new Noop\Bayes\Token\TokenArray;
$t->fromArray(array('a' => 6, 'b' => 10, 'caad' => 12, 'baad' => 13, 'asfgerrybbewaaadfasdfsadfadsfca' => 7));
//a,b, and that long token should have zero weight with default min/max lengths
$d->addTokens($t);
$this->assertEquals(array('a' => array('count' => 6, 'weight' => 0),
'b' => array('count' => 10, 'weight' => 0),
'caad' => array('count' => 12, 'weight' => 12/25),
'baad' => array('count' => 13, 'weight' => 13/25),
'asfgerrybbewaaadfasdfsadfadsfca' => array('count' => 7, 'weight' => 0)), $d->dump());
$d->setMinimalTokenLength(0);
$this->assertEquals(array('a' => array('count' => 6, 'weight' => 6/41),
'b' => array('count' => 10, 'weight' => 10/41),
'caad' => array('count' => 12, 'weight' => 12/41),
'baad' => array('count' => 13, 'weight' => 13/41),
'asfgerrybbewaaadfasdfsadfadsfca' => array('count' => 7, 'weight' => 0)), $d->dump());
$d->setMaximalTokenLength(100);
$this->assertEquals(array('a' => array('count' => 6, 'weight' => 6/48),
'b' => array('count' => 10, 'weight' => 10/48),
'caad' => array('count' => 12, 'weight' => 12/48),
'baad' => array('count' => 13, 'weight' => 13/48),
'asfgerrybbewaaadfasdfsadfadsfca' => array('count' => 7, 'weight' => 7/48)), $d->dump());
}
public function testStopwords()
{
$d = new Noop\Bayes\Dictionary\Dictionary();
$ts = new Noop\Bayes\Tokenizer\String();
$d->loadStopwords(array('en', 'ru'));
$d->setMaximalTokenLength(1000);
$d->setMinimalTokenLength(0);
$d->addTokens($ts->tokenize('As at so believe account evening behaved hearted is.'));
$this->assertEquals(array('believe' => array('count' => 1, 'weight' => 1/5),
'account' => array('count' => 1, 'weight' => 1/5),
'evening' => array('count' => 1, 'weight' => 1/5),
'behaved' => array('count' => 1, 'weight' => 1/5),
'hearted' => array('count' => 1, 'weight' => 1/5),
'as' => array('count' => 1, 'weight' => 0),
'at' => array('count' => 1, 'weight' => 0),
'so' => array('count' => 1, 'weight' => 0),
'is' => array('count' => 1, 'weight' => 0)), $d->dump());
}
public function testStopwordsCritical()
{
$this->setExpectedException('RuntimeException');
$d = new Noop\Bayes\Dictionary\Dictionary();
$d->loadStopwords(array('boo', 'foo'));
}
}