

from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any


class 			_SCREAMING_SNAKE_CASE      :
						_UpperCamelCase:Union[str, Any]	=		("_front", "_back", "_len")


						@dataclass
						class 			_SCREAMING_SNAKE_CASE      :
												_UpperCamelCase:Any	=		None
												_UpperCamelCase:Deque._Node | None	=		None
												_UpperCamelCase:Deque._Node | None	=		None


						class 			_SCREAMING_SNAKE_CASE      :
												_UpperCamelCase:Optional[int]	=		("_cur",)







												def __init__(			self     ,						_SCREAMING_SNAKE_CASE							)->							None:
																			lowerCamelCase_								=cur







												def __iter__(			self							)->							Deque._Iterator:
																			return self







												def        _snake_case				(			self							)->							Any:
																			if self._cur is None:
																										# finished iterating
																										raise StopIteration
																			lowerCamelCase_								=self._cur.val
																			lowerCamelCase_								=self._cur.next_node

																			return val







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE = None							)->							None:
													lowerCamelCase_								=None
													lowerCamelCase_								=None
													lowerCamelCase_								=0

													if iterable is not None:
																				# append every value to the deque
																				for val in iterable:
																											self.append(_SCREAMING_SNAKE_CASE							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							None:
													lowerCamelCase_								=self._Node(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							)
													if self.is_empty():
																				# front = back
																				lowerCamelCase_								=lowerCamelCase_								=node
																				lowerCamelCase_								=1
													else:
																				# connect nodes
																				lowerCamelCase_								=node
																				lowerCamelCase_								=self._back
																				lowerCamelCase_								=node  # assign new back to the new node

																				self._len += 1

																				# make sure there were no errors
																				assert not self.is_empty(), "Error on appending value."







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							None:
													lowerCamelCase_								=self._Node(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							)
													if self.is_empty():
																				# front = back
																				lowerCamelCase_								=lowerCamelCase_								=node
																				lowerCamelCase_								=1
													else:
																				# connect nodes
																				lowerCamelCase_								=self._front
																				lowerCamelCase_								=node
																				lowerCamelCase_								=node  # assign new front to the new node

																				self._len += 1

																				# make sure there were no errors
																				assert not self.is_empty(), "Error on appending value."







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							None:
													for val in iterable:
																				self.append(_SCREAMING_SNAKE_CASE							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							None:
													for val in iterable:
																				self.appendleft(_SCREAMING_SNAKE_CASE							)







						def        _snake_case				(			self							)->							Any:
													assert not self.is_empty(), "Deque is empty."

													lowerCamelCase_								=self._back
													lowerCamelCase_								=self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													lowerCamelCase_								=None

													self._len -= 1

													return topop.val







						def        _snake_case				(			self							)->							Any:
													assert not self.is_empty(), "Deque is empty."

													lowerCamelCase_								=self._front
													lowerCamelCase_								=self._front.next_node  # set new front and drop the first node
													lowerCamelCase_								=None

													self._len -= 1

													return topop.val







						def        _snake_case				(			self							)->							bool:
													return self._front is None







						def __len__(			self							)->							int:
													return self._len







						def __eq__(			self     ,						_SCREAMING_SNAKE_CASE							)->							bool:

													if not isinstance(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							):
																				return NotImplemented

													lowerCamelCase_								=self._front
													lowerCamelCase_								=other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self							) != len(_SCREAMING_SNAKE_CASE							):
																				return False

													while me is not None and oth is not None:
																				# compare every value
																				if me.val != oth.val:
																											return False
																				lowerCamelCase_								=me.next_node
																				lowerCamelCase_								=oth.next_node

													return True







						def __iter__(			self							)->							Deque._Iterator:
													return Deque._Iterator(self._front							)







						def __repr__(			self							)->							str:
													lowerCamelCase_								=[]
													lowerCamelCase_								=self._front
													while aux is not None:
																				# append the values in a list to display
																				values_list.append(aux.val							)
																				lowerCamelCase_								=aux.next_node

													return f'[{", ".join(repr(_SCREAMING_SNAKE_CASE							) for val in values_list							)}]'


if __name__ == "__main__":
	import doctest

	doctest.testmod()



from sklearn.neural_network import MLPClassifier

__A	:   Tuple	=					[[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
__A	:   Optional[int]	=					[0, 1, 0, 0]


__A	:   int	=					MLPClassifier(
    solver='lbfgs', alpha=1E-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


__A	:   str	=					[[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
__A	:   str	=					clf.predict(test)




def        __UpperCamelCase     (      _A					:							int		)				->Union[str, Any]:



							"""simple docstring"""
							return list(_A		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
