Oguzcan Yavuz oguzcan-yavuz

	# Kod kismi

	class StatisticalSummary(object):
	def __init__(self, seq):
	self.seq = seq

	def five_figure_summary(self, precision=None):
	return ("N", "extreme_lower", "extreme_upper", "lower_quartile", "median", "upper_quartile")

	# Test kismi

	def gcd(a, b):
	"""Calculate the Greatest Common Divisor of a and b.

	Unless b==0, the result will have the same sign as b (so that when
	b is divided by it, the result comes out positive).
	"""
	while b:
	a, b = b, a%b
	return a

	# 1
	def random_yuz_sayi():
	import random
	a, b = [], []
	[(a if i % 2 == 0 else b).append(i) for i in random.sample(xrange(0, 500), 100)]
	print("A listesindeki elemanlar toplami: %d" % (sum(a)))
	print("B listesindeki elemanlar toplami: %d" % (sum(b)))


	random_yuz_sayi()

	#!/usr/bin/python3

	import pyautogui
	import time

	coordinates = pyautogui.position()

	while True:
	pyautogui.click(coordinates)
	time.sleep(0.01)

	=begin
	antik cagda yasayan bir sultanin 1000 askeri vardir. askerler halka seklinde
	siralaniyor. her asker sagindaki askeri kilicla yaraliyor ve yaralanan asker oyundan cikiyor.
	oyun siradaki askere geciyor. yani halkanin ilk hali (1,2,3,4,5,6,7,8,9) iken sonraki hali
	(1,3,5,7,9) oluyor.
	yarismayi hangi asker kazanir? oyunu nesne tabanli programlama mantigi ile kodlayiniz.
	NOT: kac asker oyuna dahil olacak ve oyunun kacinci askerden baslayacagini kullanici
	belirleyecektir.
	=end

	const express = require('express');
	const cors = require('cors');
	let app = express();

	const corsOptions = {
	credentials: true,
	origin: true,
	methods: ['GET', 'HEAD', 'PUT', 'PATCH', 'POST', 'DELETE'],
	exposedHeaders: ['x-auth-token']
	};

	FROM nvidia/cuda:7.5-runtime-ubuntu14.04
	LABEL maintainer "NVIDIA CORPORATION <cudatools@nvidia.com>"

	RUN echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list

	ENV CUDNN_VERSION 4.0.8
	LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"

	RUN apt-get update && apt-get install -y --no-install-recommends \
	libcudnn4=$CUDNN_VERSION && \