


from datetime import datetime

import matplotlib.pyplot as plt
import torch




def    a   (							A__							)	-> List[Any]:




      '''simple docstring'''

      for param in module.parameters():
            SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		False




def    a   (							)	-> Dict:




      '''simple docstring'''

      SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		'''cuda''' if torch.cuda.is_available() else '''cpu'''
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            SCREAMING_SNAKE_CASE__       :  List[str]						     =		'''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   (							A__							)	-> int:




      '''simple docstring'''

      SCREAMING_SNAKE_CASE__       :  List[Any]						     =		plt.imshow(A__							)
      fig.axes.get_xaxis().set_visible(A__							)
      fig.axes.get_yaxis().set_visible(A__							)
      plt.show()





def    a   (							)	-> Optional[Any]:




      '''simple docstring'''

      SCREAMING_SNAKE_CASE__       :  int						     =		datetime.now()
      SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		current_time.strftime('''%H:%M:%S'''							)
      return timestamp













"""simple docstring"""


from math import ceil, sqrt

def      UpperCamelCase							(SCREAMING_SNAKE_CASE = 100_0000     ):
						UpperCamelCase				:		int				   =			0

						for outer_width in range(3							,     (limit // 4) + 2     ):
												if outer_width**2 > limit:
																		UpperCamelCase				:		Optional[Any]				   =			max(ceil(sqrt(outer_width**2 - limit     )     )							,     1     )
												else:
																		UpperCamelCase				:		str				   =			1
												if (outer_width - hole_width_lower_bound) % 2:
																		hole_width_lower_bound += 1

												answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

						return answer


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



