

from datetime import datetime

import matplotlib.pyplot as plt
import torch





def 	__a     (      A__			:  Tuple       ):
    for param in module.parameters():
        SCREAMING_SNAKE_CASE										=   False





def 	__a     (      ):
    SCREAMING_SNAKE_CASE										=   "cuda" if torch.cuda.is_available() else "cpu"
    if torch.backends.mps.is_available() and torch.backends.mps.is_built():
        SCREAMING_SNAKE_CASE										=   "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__			:  Tuple       ):
    SCREAMING_SNAKE_CASE										=   plt.imshow(A__       )
    fig.axes.get_xaxis().set_visible(A__       )
    fig.axes.get_yaxis().set_visible(A__       )
    plt.show()





def 	__a     (      ):
    SCREAMING_SNAKE_CASE										=   datetime.now()
    SCREAMING_SNAKE_CASE										=   current_time.strftime("%H:%M:%S"       )
    return timestamp





def    UpperCAmelCase_				( __UpperCAmelCase		:      list     ,     __UpperCAmelCase		:      int     ,     __UpperCAmelCase		:      int = 0     ,     __UpperCAmelCase		:      int = 0				)   ->					int:
      SCREAMING_SNAKE_CASE_      		=     right or len(__UpperCAmelCase				) - 1
      if left > right:
            return -1
      elif list_data[left] == key:
            return left
      elif list_data[right] == key:
            return right
      else:
            return search(__UpperCAmelCase     ,     __UpperCAmelCase     ,     left + 1     ,     right - 1				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()