


'''simple docstring'''







import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


a__    :   List[Any]								=			5_0_0_0_0_0

a__    :   Optional[Any]								=			os.path.split(__file__)
a__    :   Any								=			os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))







@get_duration
def _UpperCamelCase			(	__A       )				->						Optional[Any]:


      '''simple docstring'''



      UpperCamelCase__      =							dataset.select(range(0 ,     len(__A       ) ,     2       )       )







@get_duration
def _UpperCamelCase			(	__A       )				->						Union[str, Any]:


      '''simple docstring'''



      UpperCamelCase__      =							dataset.sort("numbers"       )







@get_duration
def _UpperCamelCase			(	__A       )				->						Optional[Any]:


      '''simple docstring'''



      UpperCamelCase__      =							dataset.shuffle()







@get_duration
def _UpperCamelCase			(	__A       )				->						List[Any]:


      '''simple docstring'''



      UpperCamelCase__      =							dataset.train_test_split(0.1       )







@get_duration
def _UpperCamelCase			(	__A ,     __A=10       )				->						Optional[int]:


      '''simple docstring'''



      for shard_id in range(__A       ):
            UpperCamelCase__      =							dataset.shard(__A ,     __A       )







def _UpperCamelCase			(	)				->						Dict:


      '''simple docstring'''



      UpperCamelCase__      =							{"num examples": SPEED_TEST_N_EXAMPLES}
      UpperCamelCase__      =							(select, sort, shuffle, train_test_split, shard)
      with tempfile.TemporaryDirectory() as tmp_dir:
            print("generating dataset"       )
            UpperCamelCase__      =							datasets.Features({"text": datasets.Value("string"       ), "numbers": datasets.Value("float32"       )}       )
            UpperCamelCase__      =							generate_example_dataset(
                os.path.join(__A ,     "dataset.arrow"       ) ,     __A ,     num_examples=__A       )
            print("Functions"       )
            for func in functions:
                  print(func.__name__       )
                  UpperCamelCase__      =							func(__A       )

      with open(__A ,     "wb"       ) as f:
            f.write(json.dumps(__A       ).encode("utf-8"       )       )


if __name__ == "__main__":  # useful to run the profiler
  benchmark_indices_mapping()









'''simple docstring'''




import requests

try:
				from django.contrib.auth import authenticate, login
				from django.shortcuts import redirect, render
except ImportError:
				__lowercase	:   Dict   		=					print





def 				a_							(    lowercase     )      ->Any:






				'''simple docstring'''

				__lowerCamelCase		:   str           =       "secretKey"
				__lowerCamelCase		:   Optional[Any]           =       "https://www.google.com/recaptcha/api/siteverify"

				# when method is not POST, direct user to login page
				if request.method != "POST":
								return render(lowercase				,    "login.html"     )

				# from the frontend, get username, password, and client_key
				__lowerCamelCase		:   str           =       request.POST.get("username"     )
				__lowerCamelCase		:   Dict           =       request.POST.get("password"     )
				__lowerCamelCase		:   List[str]           =       request.POST.get("g-recaptcha-response"     )

				# post recaptcha response to Google's recaptcha api
				__lowerCamelCase		:   str           =       requests.post(lowercase				,    data={"secret": secret_key, "response": client_key}     )
				# if the recaptcha api verified our keys
				if response.json().get("success"				,    lowercase     ):
								# authenticate the user
								__lowerCamelCase		:   List[Any]           =       authenticate(lowercase				,    username=lowercase				,    password=lowercase     )
								if user_in_database:
												login(lowercase				,    lowercase     )
												return redirect("/your-webpage"     )
				return render(lowercase				,    "login.html"     )





