






from datetime import datetime

import matplotlib.pyplot as plt
import torch


def __A    (      __lowerCAmelCase	)->  Union[str, Any]:





						"""simple docstring"""



						for param in module.parameters():
												_UpperCAmelCase									=			False


def __A    (      )->  Optional[Any]:





						"""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    (      __lowerCAmelCase	)->  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    (      )->  Dict:





						"""simple docstring"""



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



from __future__ import annotations

from collections.abc import Generator


def   __SCREAMING_SNAKE_CASE					():
						snake_case_   =	{}
						snake_case_   =	2
						while True:
												snake_case_   =	factor_map.pop(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       )
												if factor:
																		snake_case_   =	factor + prime
																		while x in factor_map:
																								x += factor
																		snake_case_   =	factor
												else:
																		snake_case_   =	prime
																		yield prime
												prime += 1


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__ = 1E10       ):
						snake_case_   =	sieve()

						snake_case_   =	1
						while True:
												snake_case_   =	next(SCREAMING_SNAKE_CASE__       )
												if (2 * prime * n) > limit:
																		return n
												# Ignore the next prime as the reminder will be 2.
												next(SCREAMING_SNAKE_CASE__       )
												n += 2


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