






import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase  :							Union[str, Any]			  =    logging.get_logger(__name__)


lowercase  :							Any			  =    {
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

lowercase  :							Dict			  =    {
    '''vocab_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'''
        ),
    },
    '''tokenizer_config_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'''
        ),
    },
    '''merges_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'''
        ),
    },
}

lowercase  :							List[str]			  =    '''</w>'''
lowercase  :							Union[str, Any]			  =    '''@@ '''

def      lowerCAmelCase__	(    _a       :			Optional[Any]    ):
		snake_case_				:							List[Any]						 =       set()
		snake_case_				:							Dict						 =       word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)    )
				snake_case_				:							Tuple						 =       char
		return pairs


# Speech2Text2 has no max input length
lowercase  :							int			  =    {'''facebook/s2t-wav2vec2-large-en-de''': 10_24}




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						A     :   str						=					VOCAB_FILES_NAMES
						A     :   Tuple						=					PRETRAINED_VOCAB_FILES_MAP
						A     :   Tuple						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A     :   Any						=					['input_ids', 'attention_mask']






						def __init__(	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE="<s>"		,				_SCREAMING_SNAKE_CASE="<pad>"		,				_SCREAMING_SNAKE_CASE="</s>"		,				_SCREAMING_SNAKE_CASE="<unk>"		,				_SCREAMING_SNAKE_CASE=False		,				_SCREAMING_SNAKE_CASE=None		,				**_SCREAMING_SNAKE_CASE		,				) ->				Tuple:
								super().__init__(
								    unk_token=_SCREAMING_SNAKE_CASE		,				bos_token=_SCREAMING_SNAKE_CASE		,				eos_token=_SCREAMING_SNAKE_CASE		,				pad_token=_SCREAMING_SNAKE_CASE		,				do_lower_case=_SCREAMING_SNAKE_CASE		,				**_SCREAMING_SNAKE_CASE		,				)

								snake_case_				:							Tuple						 =       do_lower_case

								with open(_SCREAMING_SNAKE_CASE		,				encoding="utf-8"				) as vocab_handle:
										snake_case_				:							Optional[int]						 =       json.load(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							List[str]						 =       {v: k for k, v in self.encoder.items()}

								if merges_file is None:
										logger.info(f'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''				)

										snake_case_				:							Optional[int]						 =       None
										snake_case_				:							List[str]						 =       None
								else:
										with open(_SCREAMING_SNAKE_CASE		,				encoding="utf-8"				) as merges_handle:
												snake_case_				:							List[Any]						 =       merges_handle.read().split("\n"				)[:-1]

										snake_case_				:							Tuple						 =       [tuple(merge.split()[:2]				) for merge in merges]
										snake_case_				:							Union[str, Any]						 =       dict(zip(_SCREAMING_SNAKE_CASE		,				range(len(_SCREAMING_SNAKE_CASE				)				)				)				)
										snake_case_				:							Union[str, Any]						 =       {}






						@property
						def       _lowerCAmelCase       (	self				) ->				int:
								return len(self.decoder				)






						def       _lowerCAmelCase       (	self				) ->				Dict:
								return dict(self.encoder		,				**self.added_tokens_encoder				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				List[Any]:
								snake_case_				:							Tuple						 =       tuple(token[:-1]				) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
										return self.cache[token]
								snake_case_				:							List[Any]						 =       get_pairs(_SCREAMING_SNAKE_CASE				)

								if not pairs:
										return token

								while True:
										snake_case_				:							List[Any]						 =       min(_SCREAMING_SNAKE_CASE		,				key=lambda _SCREAMING_SNAKE_CASE				: self.bpe_ranks.get(_SCREAMING_SNAKE_CASE		,				float("inf"				)				)				)
										if bigram not in self.bpe_ranks:
												break
										snake_case_ ,       snake_case_				:							Tuple						 =       bigram
										snake_case_				:							List[Any]						 =       []
										snake_case_				:							Optional[Any]						 =       0
										while i < len(_SCREAMING_SNAKE_CASE				):
												try:
														snake_case_				:							Union[str, Any]						 =       word.index(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				)
												except ValueError:
														new_word.extend(word[i:]				)
														break
												else:
														new_word.extend(word[i:j]				)
														snake_case_				:							List[str]						 =       j

												if word[i] == first and i < len(_SCREAMING_SNAKE_CASE				) - 1 and word[i + 1] == second:
														new_word.append(first + second				)
														i += 2
												else:
														new_word.append(word[i]				)
														i += 1
										snake_case_				:							Optional[Any]						 =       tuple(_SCREAMING_SNAKE_CASE				)
										snake_case_				:							Dict						 =       new_word
										if len(_SCREAMING_SNAKE_CASE				) == 1:
												break
										else:
												snake_case_				:							str						 =       get_pairs(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							int						 =       " ".join(_SCREAMING_SNAKE_CASE				)
								if word == "\n  " + BPE_TOKEN_MERGES:
										snake_case_				:							Dict						 =       "\n" + BPE_TOKEN_MERGES

								if word.endswith(_SCREAMING_SNAKE_CASE				):
										snake_case_				:							Optional[int]						 =       word.replace(_SCREAMING_SNAKE_CASE		,				""				)

								snake_case_				:							Optional[int]						 =       word.replace(" "		,				_SCREAMING_SNAKE_CASE				)
								snake_case_				:							Dict						 =       word
								return word






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Union[str, Any]:

								if self.bpe_ranks is None:
										raise ValueError(
										    "This tokenizer was instantiated without a `merges.txt` file, so"
										    " that it can only be used for decoding, not for encoding."
										    "Make sure to provide `merges.txt` file at instantiation to enable "
										    "encoding."				)

								if self.do_lower_case:
										snake_case_				:							List[Any]						 =       text.lower()

								snake_case_				:							Any						 =       text.split()

								snake_case_				:							Any						 =       []
								for token in text:
										if token:
												split_tokens.extend(list(self.bpe(_SCREAMING_SNAKE_CASE				).split(" "				)				)				)

								return split_tokens






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				int:
								return self.encoder.get(_SCREAMING_SNAKE_CASE		,				self.encoder.get(self.unk_token				)				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				str:
								snake_case_				:							Union[str, Any]						 =       self.decoder.get(_SCREAMING_SNAKE_CASE		,				self.unk_token				)
								return result






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				str:
								snake_case_				:							List[str]						 =       " ".join(_SCREAMING_SNAKE_CASE				)

								# make sure @@ tokens are concatenated
								snake_case_				:							Tuple						 =       "".join(string.split(_SCREAMING_SNAKE_CASE				)				)

								return string






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None				) ->				Tuple[str]:
								if not os.path.isdir(_SCREAMING_SNAKE_CASE				):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
										return
								snake_case_				:							List[str]						 =       os.path.join(
								    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)
								snake_case_				:							List[str]						 =       os.path.join(
								    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]				)

								with open(_SCREAMING_SNAKE_CASE		,				"w"		,				encoding="utf-8"				) as f:
										f.write(json.dumps(self.encoder		,				indent=2		,				sort_keys=_SCREAMING_SNAKE_CASE		,				ensure_ascii=_SCREAMING_SNAKE_CASE				) + "\n"				)

								snake_case_				:							int						 =       0
								if self.bpe_ranks is None:
										return (vocab_file,)

								with open(_SCREAMING_SNAKE_CASE		,				"w"		,				encoding="utf-8"				) as writer:
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,				key=lambda _SCREAMING_SNAKE_CASE				: kv[1]				):
												if index != token_index:
														logger.warning(
														    f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
														    " Please check that the tokenizer is not corrupted!"				)
														snake_case_				:							List[Any]						 =       token_index
												writer.write(" ".join(_SCREAMING_SNAKE_CASE				) + "\n"				)
												index += 1

								return (vocab_file, merges_file)








import heapq
import sys

import numpy as np

lowercase  :							str			  =    tuple[int, int]




class 		UpperCAmelCase_						:


						'''simple docstring'''




						def __init__(	self				) ->				Optional[int]:
								snake_case_				:							int						 =       []
								snake_case_				:							int						 =       set()






						def       _lowerCAmelCase       (	self				) ->				List[Any]:
								if not self.empty():
										return self.elements[0][0]
								else:
										return float("inf"				)






						def       _lowerCAmelCase       (	self				) ->				Optional[int]:
								return len(self.elements				) == 0






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) ->				str:
								if item not in self.set:
										heapq.heappush(self.elements		,				(priority, item)				)
										self.set.add(_SCREAMING_SNAKE_CASE				)
								else:
										# update
										# print("update", item)
										snake_case_				:							Any						 =       []
										((snake_case_) ,       (snake_case_))				:							Optional[Any]						 =       heapq.heappop(self.elements				)
										while x != item:
												temp.append((pri, x)				)
												((snake_case_) ,       (snake_case_))				:							Optional[int]						 =       heapq.heappop(self.elements				)
										temp.append((priority, item)				)
										for pro, xxx in temp:
												heapq.heappush(self.elements		,				(pro, xxx)				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Any:
								if item in self.set:
										self.set.remove(_SCREAMING_SNAKE_CASE				)
										snake_case_				:							Optional[Any]						 =       []
										((snake_case_) ,       (snake_case_))				:							Tuple						 =       heapq.heappop(self.elements				)
										while x != item:
												temp.append((pro, x)				)
												((snake_case_) ,       (snake_case_))				:							Dict						 =       heapq.heappop(self.elements				)
										for prito, yyy in temp:
												heapq.heappush(self.elements		,				(prito, yyy)				)






						def       _lowerCAmelCase       (	self				) ->				Optional[Any]:
								return self.elements[0][1]






						def       _lowerCAmelCase       (	self				) ->				Optional[int]:
								((snake_case_) ,       (snake_case_))				:							Any						 =       heapq.heappop(self.elements				)
								self.set.remove(_SCREAMING_SNAKE_CASE				)
								return (priority, item)




def      lowerCAmelCase__	(    _a       :			TPos  ,      _a       :			TPos    ):
		# euclidean distance
		snake_case_				:							Optional[Any]						 =       np.array(_a    )
		snake_case_				:							Dict						 =       np.array(_a    )
		return np.linalg.norm(a - b    )

def      lowerCAmelCase__	(    _a       :			TPos  ,      _a       :			TPos    ):
		# integer division by time variable
		return consistent_heuristic(_a  ,      _a    ) // t

def      lowerCAmelCase__	(    _a       :			TPos  ,      _a       :			TPos    ):
		# manhattan distance
		return abs(p[0] - goal[0]    ) + abs(p[1] - goal[1]    )

def      lowerCAmelCase__	(    _a       :			TPos  ,      _a       :			int  ,      _a       :			TPos  ,      _a       :			dict[TPos, float]    ):
		snake_case_				:							List[Any]						 =       g_function[start] + Wa * heuristics[i](_a  ,      _a    )
		return ans

def      lowerCAmelCase__	(    _a       :			Tuple  ,      _a       :			Union[str, Any]  ,      _a       :			List[Any]    ):
		snake_case_				:							Dict						 =       np.chararray((n, n)    )
		for i in range(_a    ):
				for j in range(_a    ):
						snake_case_				:							List[str]						 =       "*"

		for i in range(_a    ):
				for j in range(_a    ):
						if (j, (n - 1) - i) in blocks:
								snake_case_				:							Optional[Any]						 =       "#"

		snake_case_				:							Optional[int]						 =       "-"
		snake_case_				:							Tuple						 =       back_pointer[goal]
		while x != start:
				((snake_case_) ,       (snake_case_))				:							Any						 =       x
				# print(x)
				snake_case_				:							List[str]						 =       "-"
				snake_case_				:							Dict						 =       back_pointer[x]
		snake_case_				:							str						 =       "-"

		for i in range(_a    ):
				for j in range(_a    ):
						if (i, j) == (0, n - 1):
								print(grid[i][j]  ,      end=" "    )
								print("<-- End position"  ,      end=" "    )
						else:
								print(grid[i][j]  ,      end=" "    )
				print()
		print("^"    )
		print("Start position"    )
		print()
		print("# is an obstacle"    )
		print("- is the path taken by algorithm"    )
		print("PATH TAKEN BY THE ALGORITHM IS:-"    )
		snake_case_				:							List[Any]						 =       back_pointer[goal]
		while x != start:
				print(_a  ,      end=" "    )
				snake_case_				:							int						 =       back_pointer[x]
		print(_a    )
		sys.exit()

def      lowerCAmelCase__	(    _a       :			TPos    ):
		if p[0] < 0 or p[0] > n - 1:
				return False
		if p[1] < 0 or p[1] > n - 1:
				return False
		return True

def      lowerCAmelCase__	(    _a       :			int  ,      _a       :			str  ,      _a       :			Optional[int]  ,      _a       :			List[str]  ,      _a       :			Optional[Any]  ,      _a       :			Dict  ,      _a       :			Tuple  ,      _a       :			Any  ,      ):
		for itera in range(_a    ):
				open_list[itera].remove_element(_a    )
		# print("s", s)
		# print("j", j)
		((snake_case_) ,       (snake_case_))				:							Tuple						 =       s
		snake_case_				:							Dict						 =       (x - 1, y)
		snake_case_				:							Union[str, Any]						 =       (x + 1, y)
		snake_case_				:							List[str]						 =       (x, y + 1)
		snake_case_				:							int						 =       (x, y - 1)

		for neighbours in [left, right, up, down]:
				if neighbours not in blocks:
						if valid(_a    ) and neighbours not in visited:
								# print("neighbour", neighbours)
								visited.add(_a    )
								snake_case_				:							Optional[int]						 =       -1
								snake_case_				:							int						 =       float("inf"    )

						if valid(_a    ) and g_function[neighbours] > g_function[s] + 1:
								snake_case_				:							int						 =       g_function[s] + 1
								snake_case_				:							Any						 =       s
								if neighbours not in close_list_anchor:
										open_list[0].put(_a  ,      key(_a  ,      0  ,      _a  ,      _a    )    )
										if neighbours not in close_list_inad:
												for var in range(1  ,      _a    ):
														if key(_a  ,      _a  ,      _a  ,      _a    ) <= Wa * key(
														    _a  ,      0  ,      _a  ,      _a    ):
																open_list[j].put(
																    _a  ,      key(_a  ,      _a  ,      _a  ,      _a    )    )

def      lowerCAmelCase__	(    ):
		snake_case_				:							Union[str, Any]						 =       []
		for x in range(1  ,      5    ):
				for y in range(1  ,      6    ):
						some_list.append((x, y)    )

		for x in range(15  ,      20    ):
				some_list.append((x, 17)    )

		for x in range(10  ,      19    ):
				for y in range(1  ,      15    ):
						some_list.append((x, y)    )

    # L block
		for x in range(1  ,      4    ):
				for y in range(12  ,      19    ):
						some_list.append((x, y)    )
		for x in range(3  ,      13    ):
				for y in range(16  ,      19    ):
						some_list.append((x, y)    )
		return some_list


lowercase  :							Union[str, Any]			  =    {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

lowercase  :							Union[str, Any]			  =    [
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
lowercase  :							int			  =    make_common_ground()


lowercase  :							Optional[Any]			  =    blocks_blk
# hyper parameters
lowercase  :							Optional[Any]			  =    1
lowercase  :							str			  =    1
lowercase  :							Any			  =    20
lowercase  :							str			  =    3  # one consistent and two other inconsistent

# start and end destination
lowercase  :							Any			  =    (0, 0)
lowercase  :							int			  =    (n - 1, n - 1)

lowercase  :							str			  =    1

def      lowerCAmelCase__	(    _a       :			TPos  ,      _a       :			TPos  ,      _a       :			int    ):
		snake_case_				:							List[str]						 =       {start: 0, goal: float("inf"    )}
		snake_case_				:							List[Any]						 =       {start: -1, goal: -1}
		snake_case_				:							Optional[Any]						 =       []
		snake_case_				:							Dict						 =       set()

		for i in range(_a    ):
				open_list.append(PriorityQueue()    )
				open_list[i].put(_a  ,      key(_a  ,      _a  ,      _a  ,      _a    )    )

		snake_case_				:							list[int]						 =       []
		snake_case_				:							list[int]						 =       []
		while open_list[0].minkey() < float("inf"    ):
				for i in range(1  ,      _a    ):
						# print(open_list[0].minkey(), open_list[i].minkey())
						if open_list[i].minkey() <= Wa * open_list[0].minkey():
								global t
								t += 1
								if g_function[goal] <= open_list[i].minkey():
										if g_function[goal] < float("inf"    ):
												do_something(_a  ,      _a  ,      _a    )
								else:
										snake_case_ ,       snake_case_				:							Optional[Any]						 =       open_list[i].top_show()
										visited.add(_a    )
										expand_state(
										    _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      )
										close_list_inad.append(_a    )
						else:
								if g_function[goal] <= open_list[0].minkey():
										if g_function[goal] < float("inf"    ):
												do_something(_a  ,      _a  ,      _a    )
								else:
										snake_case_				:							Tuple						 =       open_list[0].top_show()
										visited.add(_a    )
										expand_state(
										    _a  ,      0  ,      _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      _a  ,      )
										close_list_anchor.append(_a    )
		print("No path found to goal"    )
		print()
		for i in range(n - 1  ,      -1  ,      -1    ):
				for j in range(_a    ):
						if (j, i) in blocks:
								print("#"  ,      end=" "    )
						elif (j, i) in back_pointer:
								if (j, i) == (n - 1, n - 1):
										print("*"  ,      end=" "    )
								else:
										print("-"  ,      end=" "    )
						else:
								print("*"  ,      end=" "    )
						if (j, i) == (n - 1, n - 1):
								print("<-- End position"  ,      end=" "    )
				print()
		print("^"    )
		print("Start position"    )
		print()
		print("# is an obstacle"    )
		print("- is the path taken by algorithm"    )


if __name__ == "__main__":
							multi_a_star(start, goal, n_heuristic)
