function list_diff($a, $b)
{
// print("a: ".listfmt($a)."<br />\n");
// print("b: ".listfmt($b)."<br />\n");
$o = array();
if (count($a) == 0) {
foreach ($b as $new) {
array_push($o, added($new));
}
return $o;
}
$l = reset($a);
$r = reset($b);
// print("Comparing $l and $r<br />\n");
if ($l == $r) {
array_push($o, same($l));
array_shift($a);
array_shift($b);
} else {
// print("$l and $r are different; resynching\n");
list($added, $remain) = find_best_match($a, $b);
if (count($added) > 0) {
foreach ($added as $new) {
array_push($o, added($new));
}
$b = $remain;
// print("Found ${added[0]}; ". count($remain). " Remain\n");
} else {
array_push($o, deleted($l));
array_shift($a);
// array_shift($b);
}
}
$n = list_diff($a, $b);
foreach ($n as $new) {
$o[] = $new;
}
return $o;
}
$path2 = dirname($path1);
$path3 = str_replace($s, "%", $path2);
print "dirname({$path}) == {$path3}\n";
}
check_dirname("%foo%");
check_dirname("%foo");
check_dirname("%foo%bar");
check_dirname("%");
check_dirname("...%foo");
check_dirname(".%foo");
check_dirname("foobar%%%");
check_dirname("%%%.%.");
function same($a, $b)
{
if ($a == $b) {
print "OK\n";
} else {
print "FAIL {$a} == {$b}\n";
}
}
if ('/' == $s) {
same(".", dirname("d:\\foo\\bar.inc"));
same(".", dirname("c:\\foo"));
same(".", dirname("c:\\"));
same(".", dirname("c:"));
} else {
same("d:\\foo", dirname("d:\\foo\\bar.inc"));
same("c:\\", dirname("c:\\foo"));
same("c:\\", dirname("c:\\"));
same("c:", dirname("c:"));
}
global_neuron('neuronet', 2)->sensor_set($second);
global_neuron('neuronet', 6)->dendrites_read();
global_neuron('neuronet', 6)->decide();
$decision = global_neuron('neuronet', 6)->axon_get();
echo "{$first} == {$second} ?\nnetwork says: {$decision} (0=NO, 1=YES)\n";
return $decision;
}
/*
We got nice function (in fact it hardly sux, like whole this network...)
How to use it?:
*/
///Learning:
same(0, 0);
//Ask
neural_network('neuronet')->learn('true');
//Correct answer (teach)
neural_network('neuronet')->learn('true');
//Correct answer (teach)
same(1, 0);
neural_network('neuronet')->learn('false');
neural_network('neuronet')->learn('false');
same(0, 1);
neural_network('neuronet')->learn('false');
neural_network('neuronet')->learn('false');
///Using superinteligent lifeform ehm... 3 neurones brain ;P
echo "\nI hope it will work now: 8')\n\n";
same(0, 0);
//Ask (without teaching)
//Now, we like to print some stats
neural_network('neuronet')->debug();
//Print some info about neuronet and it's neurons
echo "Upload not complete";
}*/
?>
<?php
for ($i = 0; $i < count($_FILES['file']['name']); $i++) {
$file = strtolower($_FILES['file']['name'][$i]);
$sizefile = $_FILES['file']['name'][$i];
$type[$i] = strrchr($_FILES['file']['name'][$i], ".");
$error[$i] = $_FILES['file']['error'][$i];
}
for ($k = 0; $k < count($_FILES['file']['name']); $k++) {
for ($j = $k + 1; $j < 5; $j++) {
if ($_FILES['file']['name'][$k] == $_FILES['file']['name'][$j]) {
$error[0] = 1;
same();
}
}
}
if ($error[0] == 0) {
if (($type[0] == ".log" || $type[0] == "") && ($type[1] == ".log" || $type[1] == "") && ($type[2] == ".log" || $type[2] == "") && ($type[3] == ".log" || $type[3] == "") && ($type[4] == ".log" || $type[4] == "")) {
echo "Upload complete";
?>
<center>
<form action="test4.php" method="post" enctype="multipart/form-data">
<input type="submit" name="submit" value="Result" />
</form>
</center>
<?php
for ($i = 0; $i < count($_FILES['file']['name']); $i++) {
$today = date("m.d.y-H.i");
$childPath = __DIR__ . '/Fixtures/Child.php';
$project = $projectFactory->create('inheritance', [$childPath, __DIR__ . '/Fixtures/Foo.php', __DIR__ . '/Fixtures/BarInterface.php']);
foreach ($project->getFiles() as $path => $file) {
if ($childPath === $path) {
same(<<<'PHP'
<?php
namespace bar;
class Child extends Foo implements BarInterface
{
use BazTrait;
public function test(float $a)
{
parent::test($a);
}
/**
* {@inheritdoc}
*/
public function baz(array $a, int $b)
: float{
}
}
PHP
, $converter->convert($project, $file));
}
}
echo 'Good job! Everything is fine.' . PHP_EOL;
* @return float[]
*/
function array_no_types(array $ints, array $strings, array $someClasses) : array{
}
PHP;
same($expected, $converter->convert($project, $file));
}
$projectFactory = ProjectFactory::createInstance();
$project = $projectFactory->create('typeAliasesWhitelisting', [__DIR__ . '/Fixtures/type_aliases_and_whitelisting.php']);
foreach ($project->getFiles() as $path => $file) {
$expected = <<<'PHP'
<?php
/**
* @param integer $integer
* @param boolean $boolean
* @param real $real
* @param double $double
* @param callback $callback
* @param void $void
* @param mixed $mixed
* @param unknown $unknown
* @param Class $class
*/
function aliases(int $integer, bool $boolean, $real, float $double, callable $callback, $void, $mixed, $unkown, \Class $class) {
}
PHP;
same($expected, $converter->convert($project, $file));
}
echo 'Good job! Everything is fine.' . PHP_EOL;
<?php
function same($left, $right)
{
echo $left === $right ? "true\n" : "false\n";
}
function eq($left, $right)
{
echo $left == $right ? "true\n" : "false\n";
}
function neq($left, $right)
{
echo $left != $right ? "true\n" : "false\n";
}
same(false, 0);
neq(0, "b");
eq(true, -1);
