
from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
__snake_case								=  0

__snake_case								=  [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

__snake_case								=  [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

__snake_case								=  tuple[int, int]




class 						lowercase__  :
	def __init__(			self							:   List[Any]       ,   UpperCAmelCase_							:   int       ,   UpperCAmelCase_							:   int       ,   UpperCAmelCase_							:   int       ,   UpperCAmelCase_							:   int       ,   UpperCAmelCase_							:   int       ,   UpperCAmelCase_							:   Node | None       ,   ):
						SCREAMING_SNAKE_CASE__													= pos_x
						SCREAMING_SNAKE_CASE__													= pos_y
						SCREAMING_SNAKE_CASE__													= (pos_y, pos_x)
						SCREAMING_SNAKE_CASE__													= goal_x
						SCREAMING_SNAKE_CASE__													= goal_y
						SCREAMING_SNAKE_CASE__													= g_cost
						SCREAMING_SNAKE_CASE__													= parent
						SCREAMING_SNAKE_CASE__													= self.calculate_heuristic()
						SCREAMING_SNAKE_CASE__													= self.g_cost + self.h_cost
	def      A_				(			self							:   Union[str, Any]							):
						SCREAMING_SNAKE_CASE__													= self.pos_x - self.goal_x
						SCREAMING_SNAKE_CASE__													= self.pos_y - self.goal_y
						if HEURISTIC == 1:
											return abs(UpperCAmelCase_							) + abs(UpperCAmelCase_							)
						else:
											return sqrt(dy**2 + dx**2							)





	def __lt__(			self							:   Any       ,   UpperCAmelCase_							:   Node							):
						return self.f_cost < other.f_cost





class 						lowercase__  :
	def __init__(			self							:   Tuple       ,   UpperCAmelCase_							:   TPosition       ,   UpperCAmelCase_							:   TPosition							):
						SCREAMING_SNAKE_CASE__													= Node(start[1]       ,   start[0]       ,   goal[1]       ,   goal[0]       ,   0       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= Node(goal[1]       ,   goal[0]       ,   goal[1]       ,   goal[0]       ,   99999       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= [self.start]
						SCREAMING_SNAKE_CASE__													= []

						SCREAMING_SNAKE_CASE__													= False
	def      A_				(			self							:   Dict							):
						while self.open_nodes:
											# Open Nodes are sorted using __lt__
											self.open_nodes.sort()
											SCREAMING_SNAKE_CASE__													= self.open_nodes.pop(0							)

											if current_node.pos == self.target.pos:
																return self.retrace_path(UpperCAmelCase_							)

											self.closed_nodes.append(UpperCAmelCase_							)
											SCREAMING_SNAKE_CASE__													= self.get_successors(UpperCAmelCase_							)

											for child_node in successors:
																if child_node in self.closed_nodes:
																					continue

																if child_node not in self.open_nodes:
																					self.open_nodes.append(UpperCAmelCase_							)
																else:
																					# retrieve the best current path
																					SCREAMING_SNAKE_CASE__													= self.open_nodes.pop(self.open_nodes.index(UpperCAmelCase_							)							)

																					if child_node.g_cost < better_node.g_cost:
																										self.open_nodes.append(UpperCAmelCase_							)
																					else:
																										self.open_nodes.append(UpperCAmelCase_							)

						return [self.start.pos]
	def      A_				(			self							:   List[Any]       ,   UpperCAmelCase_							:   Node							):
						SCREAMING_SNAKE_CASE__													= []
						for action in delta:
											SCREAMING_SNAKE_CASE__													= parent.pos_x + action[1]
											SCREAMING_SNAKE_CASE__													= parent.pos_y + action[0]
											if not (0 <= pos_x <= len(grid[0]							) - 1 and 0 <= pos_y <= len(UpperCAmelCase_							) - 1):
																continue

											if grid[pos_y][pos_x] != 0:
																continue

											successors.append(
											    Node(
											        UpperCAmelCase_       ,   UpperCAmelCase_       ,   self.target.pos_y       ,   self.target.pos_x       ,   parent.g_cost + 1       ,   UpperCAmelCase_       ,   )							)
						return successors





	def      A_				(			self							:   List[str]       ,   UpperCAmelCase_							:   Node | None							):
						SCREAMING_SNAKE_CASE__													= node
						SCREAMING_SNAKE_CASE__													= []
						while current_node is not None:
											path.append((current_node.pos_y, current_node.pos_x)							)
											SCREAMING_SNAKE_CASE__													= current_node.parent
						path.reverse()
						return path





class 						lowercase__  :
	def __init__(			self							:   List[Any]       ,   UpperCAmelCase_							:   TPosition       ,   UpperCAmelCase_							:   TPosition							):
						SCREAMING_SNAKE_CASE__													= AStar(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= AStar(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= False
	def      A_				(			self							:   List[Any]							):
						while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
											self.fwd_astar.open_nodes.sort()
											self.bwd_astar.open_nodes.sort()
											SCREAMING_SNAKE_CASE__													= self.fwd_astar.open_nodes.pop(0							)
											SCREAMING_SNAKE_CASE__													= self.bwd_astar.open_nodes.pop(0							)

											if current_bwd_node.pos == current_fwd_node.pos:
																return self.retrace_bidirectional_path(
																    UpperCAmelCase_       ,   UpperCAmelCase_							)

											self.fwd_astar.closed_nodes.append(UpperCAmelCase_							)
											self.bwd_astar.closed_nodes.append(UpperCAmelCase_							)

											SCREAMING_SNAKE_CASE__													= current_bwd_node
											SCREAMING_SNAKE_CASE__													= current_fwd_node

											SCREAMING_SNAKE_CASE__													= {
											    self.fwd_astar: self.fwd_astar.get_successors(UpperCAmelCase_							),
											    self.bwd_astar: self.bwd_astar.get_successors(UpperCAmelCase_							),
											}

											for astar in [self.fwd_astar, self.bwd_astar]:
																for child_node in successors[astar]:
																					if child_node in astar.closed_nodes:
																										continue

																					if child_node not in astar.open_nodes:
																										astar.open_nodes.append(UpperCAmelCase_							)
																					else:
																										# retrieve the best current path
																										SCREAMING_SNAKE_CASE__													= astar.open_nodes.pop(
																										    astar.open_nodes.index(UpperCAmelCase_							)							)

																										if child_node.g_cost < better_node.g_cost:
																															astar.open_nodes.append(UpperCAmelCase_							)
																										else:
																															astar.open_nodes.append(UpperCAmelCase_							)

						return [self.fwd_astar.start.pos]





	def      A_				(			self							:   Optional[int]       ,   UpperCAmelCase_							:   Node       ,   UpperCAmelCase_							:   Node							):
						SCREAMING_SNAKE_CASE__													= self.fwd_astar.retrace_path(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= self.bwd_astar.retrace_path(UpperCAmelCase_							)
						bwd_path.pop()
						bwd_path.reverse()
						SCREAMING_SNAKE_CASE__													= fwd_path + bwd_path
						return path


if __name__ == "__main__":
				# all coordinates are given in format [y,x]
				__snake_case								=  (0, 0)
				__snake_case								=  (len(grid) - 1, len(grid[0]) - 1)
				for elem in grid:
								print(elem)

				__snake_case								=  time.time()
				__snake_case								=  AStar(init, goal)
				__snake_case								=  a_star.search()
				__snake_case								=  time.time() - start_time
				print(F"""AStar execution time = {end_time:f} seconds""")

				__snake_case								=  time.time()
				__snake_case								=  BidirectionalAStar(init, goal)
				__snake_case								=  time.time() - bd_start_time
				print(F"""BidirectionalAStar execution time = {bd_end_time:f} seconds""")







import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


__snake_case								=  logging.get_logger(__name__)


__snake_case								=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all BART models at https://huggingface.co/models?filter=bart
__snake_case								=  {
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json""",
    },
}

__snake_case								=  {
    """facebook/bart-base""": 10_24,
    """facebook/bart-large""": 10_24,
    """facebook/bart-large-mnli""": 10_24,
    """facebook/bart-large-cnn""": 10_24,
    """facebook/bart-large-xsum""": 10_24,
    """yjernite/bart_eli5""": 10_24,
}




class 						lowercase__  (						_UpperCAmelCase  ):
	A__    :   Tuple				       =VOCAB_FILES_NAMES
	A__    :   Any				       =PRETRAINED_VOCAB_FILES_MAP
	A__    :   str				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A__    :   Tuple				       =["""input_ids""", """attention_mask"""]
	A__    :   Optional[int]				       =BartTokenizer
	def __init__(			self							:   str       ,   UpperCAmelCase_							:   Optional[Any]=None       ,   UpperCAmelCase_							:   int=None       ,   UpperCAmelCase_							:   str=None       ,   UpperCAmelCase_							:   Optional[Any]="replace"       ,   UpperCAmelCase_							:   int="<s>"       ,   UpperCAmelCase_							:   List[Any]="</s>"       ,   UpperCAmelCase_							:   int="</s>"       ,   UpperCAmelCase_							:   Tuple="<s>"       ,   UpperCAmelCase_							:   Any="<unk>"       ,   UpperCAmelCase_							:   Any="<pad>"       ,   UpperCAmelCase_							:   Optional[Any]="<mask>"       ,   UpperCAmelCase_							:   Optional[int]=False       ,   UpperCAmelCase_							:   List[str]=True       ,   **UpperCAmelCase_							:   List[Any]       ,   ):
						super().__init__(
						    UpperCAmelCase_       ,   UpperCAmelCase_       ,   tokenizer_file=UpperCAmelCase_       ,   errors=UpperCAmelCase_       ,   bos_token=UpperCAmelCase_       ,   eos_token=UpperCAmelCase_       ,   sep_token=UpperCAmelCase_       ,   cls_token=UpperCAmelCase_       ,   unk_token=UpperCAmelCase_       ,   pad_token=UpperCAmelCase_       ,   mask_token=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_       ,   **UpperCAmelCase_       ,   )

						SCREAMING_SNAKE_CASE__													= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
						if pre_tok_state.get('add_prefix_space'       ,   UpperCAmelCase_							) != add_prefix_space:
											SCREAMING_SNAKE_CASE__													= getattr(UpperCAmelCase_       ,   pre_tok_state.pop('type'							)							)
											SCREAMING_SNAKE_CASE__													= add_prefix_space
											SCREAMING_SNAKE_CASE__													= pre_tok_class(**UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= add_prefix_space

						# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
						SCREAMING_SNAKE_CASE__													= 'post_processor'
						SCREAMING_SNAKE_CASE__													= getattr(self.backend_tokenizer       ,   UpperCAmelCase_       ,   UpperCAmelCase_							)
						if tokenizer_component_instance:
											SCREAMING_SNAKE_CASE__													= json.loads(tokenizer_component_instance.__getstate__()							)

											# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
											if "sep" in state:
																SCREAMING_SNAKE_CASE__													= tuple(state['sep']							)
											if "cls" in state:
																SCREAMING_SNAKE_CASE__													= tuple(state['cls']							)

											SCREAMING_SNAKE_CASE__													= False

											if state.get('add_prefix_space'       ,   UpperCAmelCase_							) != add_prefix_space:
																SCREAMING_SNAKE_CASE__													= add_prefix_space
																SCREAMING_SNAKE_CASE__													= True

											if state.get('trim_offsets'       ,   UpperCAmelCase_							) != trim_offsets:
																SCREAMING_SNAKE_CASE__													= trim_offsets
																SCREAMING_SNAKE_CASE__													= True

											if changes_to_apply:
																SCREAMING_SNAKE_CASE__													= getattr(UpperCAmelCase_       ,   state.pop('type'							)							)
																SCREAMING_SNAKE_CASE__													= component_class(**UpperCAmelCase_							)
																setattr(self.backend_tokenizer       ,   UpperCAmelCase_       ,   UpperCAmelCase_							)
	@property
	def      A_				(			self							:   Tuple							):
						if self._mask_token is None:
											if self.verbose:
																logger.error('Using mask_token, but it is not set yet.'							)
											return None
						return str(self._mask_token							)
	@mask_token.setter
	def      A_				(			self							:   Any       ,   UpperCAmelCase_							:   List[Any]							):
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else value
						SCREAMING_SNAKE_CASE__													= value
	def      A_				(			self							:   List[str]       ,   *UpperCAmelCase_							:   Tuple       ,   **UpperCAmelCase_							:   str							):
						SCREAMING_SNAKE_CASE__													= kwargs.get('is_split_into_words'       ,   UpperCAmelCase_							)

						if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
											    'to use it with pretokenized inputs.'							)

						return super()._batch_encode_plus(*UpperCAmelCase_       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   List[str]       ,   *UpperCAmelCase_							:   Dict       ,   **UpperCAmelCase_							:   int							):
						SCREAMING_SNAKE_CASE__													= kwargs.get('is_split_into_words'       ,   UpperCAmelCase_							)

						if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
											    'to use it with pretokenized inputs.'							)

						return super()._encode_plus(*UpperCAmelCase_       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   List[str]       ,   UpperCAmelCase_							:   str       ,   UpperCAmelCase_							:   Optional[str] = None							):
						SCREAMING_SNAKE_CASE__													= self._tokenizer.model.save(UpperCAmelCase_       ,   name=UpperCAmelCase_							)
						return tuple(UpperCAmelCase_							)
	def      A_				(			self							:   Optional[Any]       ,   UpperCAmelCase_							:   Optional[Any]       ,   UpperCAmelCase_							:   Union[str, Any]=None							):
						SCREAMING_SNAKE_CASE__													= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
						if token_ids_a is None:
											return output

						return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





	def      A_				(			self							:   str       ,   UpperCAmelCase_							:   List[int]       ,   UpperCAmelCase_							:   Optional[List[int]] = None							):
						SCREAMING_SNAKE_CASE__													= [self.sep_token_id]
						SCREAMING_SNAKE_CASE__													= [self.cls_token_id]

						if token_ids_a is None:
											return len(cls + token_ids_a + sep							) * [0]
						return len(cls + token_ids_a + sep + sep + token_ids_a + sep							) * [0]





