





from datetime import datetime

import matplotlib.pyplot as plt
import torch
def      A__       (    SCREAMING_SNAKE_CASE_   :      Any						)  ->  List[Any]:






   """simple docstring"""







   for param in module.parameters():
      _UpperCAmelCase           =   False
def      A__       (    )  ->  Tuple:






   """simple docstring"""







   _UpperCAmelCase           =   '''cuda''' if torch.cuda.is_available() else '''cpu'''
   if torch.backends.mps.is_available() and torch.backends.mps.is_built():
      _UpperCAmelCase           =   '''mps'''
   if device == "mps":
      print(
          '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
          ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
          ''' with generations.'''						)
   return device
def      A__       (    SCREAMING_SNAKE_CASE_   :      Any						)  ->  List[Any]:






   """simple docstring"""







   _UpperCAmelCase           =   plt.imshow(SCREAMING_SNAKE_CASE_						)
   fig.axes.get_xaxis().set_visible(SCREAMING_SNAKE_CASE_						)
   fig.axes.get_yaxis().set_visible(SCREAMING_SNAKE_CASE_						)
   plt.show()
def      A__       (    )  ->  int:






   """simple docstring"""







   _UpperCAmelCase           =   datetime.now()
   _UpperCAmelCase           =   current_time.strftime('''%H:%M:%S'''						)
   return timestamp






def      A__       (    SCREAMING_SNAKE_CASE_   :      int = 2_00_00_00						)  ->  int:






   """simple docstring"""







   _UpperCAmelCase           =   [0 for i in range(n + 1						)]
   _UpperCAmelCase           =   1
   _UpperCAmelCase           =   1

   for i in range(2				,	int(n**0.5						) + 1						):
      if primality_list[i] == 0:
         for j in range(i * i				,	n + 1				,	SCREAMING_SNAKE_CASE_						):
            _UpperCAmelCase           =   1
   _UpperCAmelCase           =   0
   for i in range(SCREAMING_SNAKE_CASE_						):
      if primality_list[i] == 0:
         sum_of_primes += i
   return sum_of_primes


if __name__ == "__main__":
   print(f'''{solution() = }''')