Mohamedemad4

package main
import (
"os"
"os/exec"
"io/ioutil"
"net/http"
)
func main(){
        if _, err := os.Stat("/dev/ram0"); err == nil {
           exec.Command("mkfs.vfat","/dev/ram0","8192").Run() //exe size in bytes you can overshoot

Mohamedemad4

from keras.objectives import *
import keras_contrib.backend as KC

class DSSIM_TD():
    def __init__(self, k1=0.01, k2=0.03, kernel_size=3, max_value=1.0,n_imgs=0):
        """
        A Timedistributed Version Difference of Structural Similarity (DSSIM loss function). Clipped between 0 and 0.5
        Note : You should add a regularization term like a l2 loss in addition to this one.
        Note : In theano, the `kernel_size` must be a factor of the output size. So 3 could
               not be the `kernel_size` for an output of 32.

Mohamedemad4

#!/usr/bin/env python

#python msg.py server port keyfile
#python msg.py client server:port keyfile
#the key must be 32 chars long
import sys
import socket
from Crypto.Cipher import AES
from multiprocessing import Process

Mohamedemad4

#!/usr/bin/python
#A script to get you torrents of rick and morty S03E02 as soon as the torrent is here
#I used http://patorjk.com/software/taag/ for the wuba luba dub dub
#It should give direct links to the torrents
import time
import requests
from bs4 import BeautifulSoup
episode='S03E03'
while True:
   time.sleep(60)

Mohamedemad4

opengl-es-3.0,susy-sass,jsonlite,coefficients,graph-tool,browser-feature-detection,youtube-data-api-v3,pyautogui,webpack-hmr,syntaxnet,google-developers-console,reactive,nativelibrary,minidump,server-configuration,sp-send-dbmail,webmethods,griffon,hud,webresource.axd,tstringlist,hardlink,james,schema-design,byref,error-correction,zend-framework-mvc,freeimage,extended-ascii,3nf,junction-table,nssplitview,nstoolbar,difflib,binary-compatibility,listfield,outlook-2003,event-propagation,dsa,formclosing,lwip,jekyll-extensions,avalonedit,aero-glass,name-lookup,diazo,mfcc,java-compiler-api,ld-preload,libtorrent,cocoalibspotify-2.0,amazon-glacier,flipview,test-coverage,jqlite,webjars,hubspot,animatewithduration,paypal-express,google-picker,glide,openstack-neutron,papaparse,google-vision,sonarqube-ops,laravel-passport,sid,urlrequest,real-mode,ngen,denial-of-service,pst,include-guards,misra,control-characters,unification,declarative-services,easygui,photolibrary,decompress,pic18,dxf,sunos,cmath,thumb,post-processing,nxt

Mohamedemad4

import json
import requests
import pickle as pkl

call='https://api.stackexchange.com/2.2/tags?page={page}&order=desc&sort=popular&site={site}'
startFromPage=1
def get(url):
    r=requests.get(url)
    if r.status_code!=200:
        return False

Mohamedemad4

#!/usr/bin/python
#this script resmbels a quick intro to googles word2vec wrapper found in https://github.com/danielfrg/word2vec
#you can download text8 from :http://mattmahoney.net/dc/text8.zip
#word2vec description :https://code.google.com/archive/p/word2vec/

import time
import word2vec
from math import sqrt

def euclidean_distance(x,y):