from datetime import datetime

import matplotlib.pyplot as plt
import torch
def 		snake_case__	(		lowercase					):






   for param in module.parameters():
      lowerCAmelCase_:							List[Any]       =	False
def 		snake_case__	(		):
   lowerCAmelCase_:							str       =	'''cuda''' if torch.cuda.is_available() else '''cpu'''
   if torch.backends.mps.is_available() and torch.backends.mps.is_built():
      lowerCAmelCase_:							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 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							str       =	plt.imshow(__a					)
   fig.axes.get_xaxis().set_visible(__a					)
   fig.axes.get_yaxis().set_visible(__a					)
   plt.show()







def 		snake_case__	(		):
   lowerCAmelCase_:							int       =	datetime.now()
   lowerCAmelCase_:							List[str]       =	current_time.strftime("%H:%M:%S"					)
   return timestamp



'''simple docstring'''
from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass
@dataclass
class   lowercase      :

		"""simple docstring"""

		_a       					=							42
		_a       					=							None
		_a       					=							None



__snake_case				 =	namedtuple('''CoinsDistribResult''', '''moves excess''')


def      a (     __a  )    ->      int:



					'''simple docstring'''






					if root is None:
										return 0

					# Validation
					def count_nodes(__a  ) -> int:
										if node is None:
															return 0

										return count_nodes(node.left  ) + count_nodes(node.right  ) + 1

					def count_coins(__a  ) -> int:
										if node is None:
															return 0

										return count_coins(node.left  ) + count_coins(node.right  ) + node.data

					if count_nodes(__a  ) != count_coins(__a  ):
										raise ValueError('''The nodes number should be same as the number of coins'''  )

					# Main calculation
					def get_distrib(__a  ) -> CoinsDistribResult:

										if node is None:
															return CoinsDistribResult(0					,   1  )

										UpperCamelCase__   ,							UpperCamelCase__  :Optional[Any]				   =					get_distrib(node.left  )
										UpperCamelCase__   ,							UpperCamelCase__  :Union[str, Any]				   =					get_distrib(node.right  )

										UpperCamelCase__  :Tuple				   =					1 - left_distrib_excess
										UpperCamelCase__  :Optional[int]				   =					1 - right_distrib_excess

										UpperCamelCase__  :int				   =					(
										    left_distrib_moves
										    + right_distrib_moves
										    + abs(__a  )
										    + abs(__a  )
										)
										UpperCamelCase__  :Optional[Any]				   =					node.data - coins_to_left - coins_to_right

										return CoinsDistribResult(__a					,   __a  )

					return get_distrib(__a  )[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()