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<?php | |
$size = 0; | |
foreach (realpath_cache_get() as $pathInfo) { | |
$size += strlen($pathInfo['realpath']) + 1 + 56; | |
} | |
var_dump($size, ini_get('realpath_cache_size')); |
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<?php | |
class ParentClass | |
{ | |
public $a; | |
public $b; | |
public function __construct($a, $b) | |
{ | |
$this->a = $a; |
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<?php | |
class TestGenerator { | |
public function task1($doGenerate = true) | |
{ | |
echo "Enter generator\n"; | |
if ($doGenerate) { | |
echo "Generate values\n"; | |
yield 1; | |
yield 2; |
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# source: http://st-on-it.blogspot.com/2010/01/how-to-move-folders-between-git.html | |
# First of all you need to have a clean clone of the source repository so we didn't screw the things up. | |
git clone git://server.com/my-repo1.git | |
# After that you need to do some preparations on the source repository, nuking all the entries except the folder you need to move. Use the following command | |
git filter-branch --subdirectory-filter your_dir -- --all | |
# This will nuke all the other entries and their history, creating a clean git repository that contains only data and history from the directory you need. If you need to move several folders, you have to collect them in a single directory using the git mv command. |
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<?php | |
use Symfony\Component\Debug\BufferingLogger; | |
use Symfony\Component\Debug\Debug; | |
use Symfony\Component\Debug\ErrorHandler; | |
$loader = require_once __DIR__ . '/vendor/autoload.php'; | |
class ConfigurableErrorHandler extends ErrorHandler | |
{ |
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void main() { | |
print(foo('bar')); | |
// will rise an error | |
foo(1); | |
} | |
foo ($s) { | |
return 'foo' + $s; | |
} |
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#!/bin/bash | |
# file: ttfb.sh | |
# curl command to check the time to first byte | |
# ** usage ** | |
# 1. ./ttfb.sh "https://google.com" | |
# 2. seq 10 | xargs -Iz ./ttfb.sh "https://google.com" | |
curl -o /dev/null \ | |
-H 'Cache-Control: no-cache' \ | |
-s \ |
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import scikits.bootstrap as bootstrap | |
import numpy as np | |
import time | |
import numba | |
@numba.njit(parallel=True, fastmath=True) | |
def _calculate_boostrap_mean_stat(data: np.ndarray, n_samples: int) -> np.ndarray: | |
n = data.shape[0] | |
stat = np.zeros(n_samples) | |
for i in numba.prange(n_samples): |
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import scikits.bootstrap as bootstrap | |
import numpy as np | |
import time | |
import numba | |
@numba.njit(parallel=True, fastmath=True) | |
def _calculate_jackknife_mean_stat(data: np.ndarray) -> np.ndarray: | |
n = data.shape[0] | |
jstat = np.zeros(n) | |
sum = data.sum() |