import requests
import time
from threading import Thread



concurrent=50
def responseip():
    responseip = requests.request("GET","https://ip-geo-location.p.rapidapi.com/ip/79.112.81.46",headers={'x-rapidapi-host': "ip-geo-location.p.rapidapi.com",'x-rapidapi-key': "ccd1c1f610msh123e3871669cfd5p1f50dajsn444d968853c8"})
    print("IP geo location:",responseip.status_code)
    return

def responsegeo():
    responsenearby = requests.request("GET","https://geocodeapi.p.rapidapi.com/GetLargestCities",headers={'x-rapidapi-host': "geocodeapi.p.rapidapi.com",'x-rapidapi-key': "ccd1c1f610msh123e3871669cfd5p1f50dajsn444d968853c8"},
    params={"latitude":"47.1662","longitude":"27.5988","range":"0"})
    print("Nearby Largest Cities:",responsenearby.status_code)
    return

def responsegoogle():
    responsegoogle=requests.request("GET","https://maps.googleapis.com/maps/api/js?key=AIzaSyBsTmmq4sKVf2wVGjxo6MhgLMbWhgLZVus&callback=initMap")
    print ("Google Maps:",responsegoogle.status_code)
    return

threads1=[]
threads2=[]
threads3=[]
for i in range(concurrent):
        t = Thread(target=responseip())
        t2 = Thread(target=responsegeo())
        t3 = Thread(target=responsegoogle())
        threads1.append(t)
        threads2.append(t2)
        threads3.append(t3)

for i in range(len(threads1)):
    threads1[i].start()