public function testCount()
{
$cb = Jit::JitFu("ReckiCT\\Mocks\\getCount");
$array = [];
for ($i = 0; $i < 1000; $i++) {
$this->assertEquals($i, $cb($array), "For iteration {$i}");
$array[] = $i;
}
}
protected function execute(InputInterface $input, OutputInterface $output)
{
$jit = Jit::getInstance();
$compiler = new Compiler();
$ir = '';
foreach ($input->getArgument('files') as $file) {
$ir .= "\n" . $jit->getFileIr($file);
}
$name = $input->getArgument("name");
$lname = strtolower($name);
$files = $compiler->compile(trim($ir), $name);
$dir = $this->makeTempDir();
foreach ($files as $fname => $file) {
file_put_contents($dir . '/' . $fname, $file);
}
$opt = $input->getOption("optimize") ? "-O3" : "";
$command = "(cd {$dir}; phpize && CFLAGS=\"\$CFLAGS {$opt}\" ./configure && make)";
passthru($command, $retval);
if ($retval) {
throw new \RuntimeException("There was an error: {$retval}");
}
rename("{$dir}/modules/{$lname}.so", getcwd() . "/{$lname}.so");
echo "\nGenerated {$lname}.so\n";
}
- $1 $8 $9
var $10 long
recurse $9 $10
var $11 numeric
+ $7 $10 $11
return $11
return
end
ENDIR;
/**
* Compile the function using the JITFU extension!
*
* This is extremely cheap, since no analysis needs to happen. All that happens is the IR
* is turned into JIT-Fu instructions (which are then compiled by libjit).
*/
$func = Jit::getInstance()->compileIrJitFu($ir, 'fibo');
/**
* Now let's benchmark the two implementations!
*
* If you don't have JitFu installed, then both should be equal.
*/
benchmark("fibo", "PHP");
benchmark($func, "ReckiCT");
/**
* A very light weight benchmark tool, which runs the code 100,000 times.
*
* @param callable $func The function to benchmark
* @param string $label The label of the test, for output
*
* @return void
*/
/**
* @covers ::getInstance
* @covers ::__construct
* @covers ::compileIrJitFu
*/
public function testCompileIrJitFuWithoutExt()
{
$ir = <<<'EOF'
function ReckiCT\test long
param $1 long
begin
return $1
end
EOF;
$jit = Jit::getInstance();
$r = new \ReflectionProperty($jit, 'jitfucompiler');
$r->setAccessible(true);
$r->setValue($jit, null);
$func = $jit->compileIrJitFu($ir, __NAMESPACE__ . '\\test');
$this->assertEquals(__NAMESPACE__ . '\\test', $func);
}
*
* @param int $n The number of the sequence to generate
*
* @return int the fibonacci number!
*/
function fibo($n)
{
if ($n < 2) {
return 1;
}
return fibo($n - 1) + fibo($n - 2);
}
/**
* Compile the function using the JITFU extension!
*/
$func = Jit::jitfu('fibo');
/**
* Now let's benchmark the two implementations!
*
* If you don't have JitFu installed, then both should be equal.
*/
benchmark("fibo", "PHP");
benchmark($func, "ReckiCT");
/**
* A very light weight benchmark tool, which runs the code 100,000 times.
*
* For a function that's as CPU intensive as this, Recki-CT should already
* be orders of magnitude faster than PHP.
*
* @param callable $func The function to benchmark
* @param string $label The label of the test, for output
* @param int $n The parameter
*
* @return int The parameter, returned
*/
function test($n)
{
return $n;
}
/**
* Compile the function using the JITFU extension!
*
* Note that if the JITFU extension isn't installed, this will simply
* return a "callable" string (the function name). So you can use it portably
* across installations.
*/
$func = Jit::jitfu('test');
/**
* Now let's benchmark the two implementations!
*
* If you don't have JitFu installed, then both should be equal.
*/
benchmark("test", "PHP");
benchmark($func, "ReckiCT");
/**
* A very light weight benchmark tool, which runs the code 100,000 times.
*
* For very simple functions like the one we are testing here, we don't expect
* a lot of gain (if any), since the overhead of the functional call will dominate
* the runtime.
*
* @param callable $func The function to benchmark
