
from datetime import datetime

import matplotlib.pyplot as plt
import torch






def   lowerCamelCase__							(					a      )      ->   List[Any]:
   for param in module.parameters():
      _A:  Union[str, Any]					=       False






def   lowerCamelCase__							(					)      ->   List[Any]:
   _A:  Union[str, Any]					=       '''cuda''' if torch.cuda.is_available() else '''cpu'''
   if torch.backends.mps.is_available() and torch.backends.mps.is_built():
      _A:  Optional[int]					=       '''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   lowerCamelCase__							(					a      )      ->   Tuple:
   _A:  List[Any]					=       plt.imshow(a      )
   fig.axes.get_xaxis().set_visible(a      )
   fig.axes.get_yaxis().set_visible(a      )
   plt.show()






def   lowerCamelCase__							(					)      ->   Optional[int]:
   _A:  List[Any]					=       datetime.now()
   _A:  Tuple					=       current_time.strftime('''%H:%M:%S'''      )
   return timestamp





def   lowerCamelCase__							(					a      )      ->   bool:
   _A:  Dict					=       [int(a      ) for i in ip_va_address.split('''.'''      ) if i.isdigit()]
   return len(a      ) == 4 and all(0 <= int(a      ) <= 2_54 for octet in octets      )


if __name__ == "__main__":
   UpperCAmelCase__		:     str     			=      input().strip()
   UpperCAmelCase__		:     Any     			=      'valid' if is_ip_va_address_valid(ip) else 'invalid'
   print(F"""{ip} is a {valid_or_invalid} IP v4 address.""")



