



'''simple docstring'''


from datetime import datetime

import matplotlib.pyplot as plt
import torch







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str						):
      for param in module.parameters():
            lowercase        =							False







def      SCREAMING_SNAKE_CASE				(				):
      lowercase        =							"""cuda""" if torch.cuda.is_available() else """cpu"""
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            lowercase        =							"""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      SCREAMING_SNAKE_CASE				(				lowercase_    :      int						):
      lowercase        =							plt.imshow(lowercase_						)
      fig.axes.get_xaxis().set_visible(lowercase_						)
      fig.axes.get_yaxis().set_visible(lowercase_						)
      plt.show()







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







'''simple docstring'''


def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							[]
						lowercase        =							1

						while len(lowercase_						) < 1E6:
												constant.append(str(lowercase_						)						)
												i += 1

						lowercase        =							"""""".join(lowercase_						)

						return (
						    int(constant[0]						)
						    * int(constant[9]						)
						    * int(constant[99]						)
						    * int(constant[999]						)
						    * int(constant[9999]						)
						    * int(constant[9_9999]						)
						    * int(constant[99_9999]						)
						)


if __name__ == "__main__":
						print(solution())


