diloabininyeri

<?php

namespace App\Providers;

use App\Listeners\AuthLoginListener;
use Illuminate\Auth\Events\Login;
use Illuminate\Auth\Events\Registered;
use Illuminate\Auth\Listeners\SendEmailVerificationNotification;
use Illuminate\Foundation\Support\Providers\EventServiceProvider as ServiceProvider;

diloabininyeri

<?php

  /**
  *@author dılo sürücü
  *
  */

$time=[

  'y'=>'sene',

diloabininyeri

<?php

/**
 * Class Collection
 * @noinspection PhpUnused
 */
class Collection implements ArrayAccess, IteratorAggregate, JsonSerializable, Countable
{
    /**
     * @var array $collection

diloabininyeri

	
	server {
		listen 80;
		listen [::]:80;

		# SSL configuration
		#
		# listen 443 ssl default_server;
		# listen [::]:443 ssl default_server;
		#

diloabininyeri

<?php

error_reporting(E_STRICT | E_ALL);
ini_set('display_errors', 1);

$file = file_get_contents("deneme.blade.php");


function e($par)
{

diloabininyeri

<?php /** @noinspection PhpUnhandledExceptionInspection */

/**
 * Class Now
 * @author  dılo sürücü <[email protected]>
 */
class Now
{

    /**

diloabininyeri

if [[ $(getconf LONG_BIT) = "64" ]]
then
    echo "64bit Detected" &&
    echo "Installing Google Chrome" &&
    wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb &&
    sudo dpkg -i google-chrome-stable_current_amd64.deb &&
    rm -f google-chrome-stable_current_amd64.deb
else
    echo "32bit Detected" &&
    echo "Installing Google Chrome" &&

diloabininyeri

<?php

/*
 * This file is part of the Predis package.
 *
 * (c) Daniele Alessandri <[email protected]>
 *
 * For the full copyright and license information, please view the LICENSE
 * file that was distributed with this source code.
 */

diloabininyeri

<?php

namespace Elastic;

use stdClass;

/**
 * Class BoolQuery.
 * @author dılo sürücü <[email protected]>
 */

diloabininyeri

from pyspark.sql import SparkSession
import numpy as np

spark = SparkSession.builder.getOrCreate()

df = spark.read.format('csv').option('header', 'true').load('/home/zeus/Desktop/deneme/file.csv')
collect = df.groupBy('county').count().orderBy('count').collect()

array = np.array(collect)
print(array)