
"""simple docstring"""


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
							from .tokenization_xlnet import XLNetTokenizer
else:
							lowerCAmelCase								=		None


lowerCAmelCase								=		logging.get_logger(__name__)

lowerCAmelCase								=		{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase								=		{
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

lowerCAmelCase								=		{
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

lowerCAmelCase								=		"""▁"""

# Segments (not really needed)
lowerCAmelCase								=		0
lowerCAmelCase								=		1
lowerCAmelCase								=		2
lowerCAmelCase								=		3
lowerCAmelCase								=		4

class        A_      (	__A  ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_       =  VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE_       =  PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE_       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE_       =  """left"""
							SCREAMING_SNAKE_CASE_       =  XLNetTokenizer





							def __init__(    self    :int	,				lowerCamelCase_    :Dict=None	,				lowerCamelCase_    :str=None	,				lowerCamelCase_    :str=False	,				lowerCamelCase_    :List[Any]=True	,				lowerCamelCase_    :Optional[Any]=False	,				lowerCamelCase_    :int="<s>"	,				lowerCamelCase_    :Optional[int]="</s>"	,				lowerCamelCase_    :str="<unk>"	,				lowerCamelCase_    :Optional[Any]="<sep>"	,				lowerCamelCase_    :Optional[int]="<pad>"	,				lowerCamelCase_    :Optional[Any]="<cls>"	,				lowerCamelCase_    :Dict="<mask>"	,				lowerCamelCase_    :int=["<eop>", "<eod>"]	,				**lowerCamelCase_    :List[Any]	,				):





										"""simple docstring"""

										lowerCamelCase__      :	Dict						=AddedToken(lowerCamelCase_	,				lstrip=lowerCamelCase_	,				rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_	,				lowerCamelCase_			) else mask_token

										super().__init__(
										    vocab_file=lowerCamelCase_	,				tokenizer_file=lowerCamelCase_	,				do_lower_case=lowerCamelCase_	,				remove_space=lowerCamelCase_	,				keep_accents=lowerCamelCase_	,				bos_token=lowerCamelCase_	,				eos_token=lowerCamelCase_	,				unk_token=lowerCamelCase_	,				sep_token=lowerCamelCase_	,				pad_token=lowerCamelCase_	,				cls_token=lowerCamelCase_	,				mask_token=lowerCamelCase_	,				additional_special_tokens=lowerCamelCase_	,				**lowerCamelCase_	,				)

										lowerCamelCase__      :	Tuple						=3
										lowerCamelCase__      :	Union[str, Any]						=do_lower_case
										lowerCamelCase__      :	Any						=remove_space
										lowerCamelCase__      :	int						=keep_accents
										lowerCamelCase__      :	int						=vocab_file
										lowerCamelCase__      :	Union[str, Any]						=False if not self.vocab_file else True





							def  UpperCAmelCase__				(    self    :Any	,				lowerCamelCase_    :List[int]	,				lowerCamelCase_    :Optional[List[int]] = None			):





										"""simple docstring"""

										lowerCamelCase__      :	Union[str, Any]						=[self.sep_token_id]
										lowerCamelCase__      :	Optional[Any]						=[self.cls_token_id]
										if token_ids_a is None:
													return token_ids_a + sep + cls
										return token_ids_a + sep + token_ids_a + sep + cls





							def  UpperCAmelCase__				(    self    :str	,				lowerCamelCase_    :List[int]	,				lowerCamelCase_    :Optional[List[int]] = None			):





										"""simple docstring"""

										lowerCamelCase__      :	Optional[int]						=[self.sep_token_id]
										lowerCamelCase__      :	Union[str, Any]						=[2]

										if token_ids_a is None:
													return len(token_ids_a + sep			) * [0] + cls_segment_id
										return len(token_ids_a + sep			) * [0] + len(token_ids_a + sep			) * [1] + cls_segment_id





							def  UpperCAmelCase__				(    self    :str	,				lowerCamelCase_    :str	,				lowerCamelCase_    :Optional[str] = None			):





										"""simple docstring"""

										if not self.can_save_slow_tokenizer:
													raise ValueError(
													    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
													    'tokenizer.'			)

										if not os.path.isdir(lowerCamelCase_			):
													logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
													return
										lowerCamelCase__      :	Dict						=os.path.join(
										    lowerCamelCase_	,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

										if os.path.abspath(self.vocab_file			) != os.path.abspath(lowerCamelCase_			):
													copyfile(self.vocab_file	,				lowerCamelCase_			)

										return (out_vocab_file,)







'''simple docstring'''



from queue import PriorityQueue
from typing import Any

import numpy as np


def 				lowercase_					(     __A			:							dict       ,   __A			:							str       ,   __A			:							set       ,   __A			:							set       ,   __A			:							dict       ,   __A			:							dict       ,   __A			:							PriorityQueue       ,   __A			:							dict       ,   __A			:							float | int       ,   )							->   float | int:



 """simple docstring"""




 for nxt, d in graph[v]:
  if nxt in visited_forward:
   continue
  lowercase       : str						=cst_fwd.get(__A       ,   np.inf      )
  lowercase       : str						=cst_fwd[v] + d
  if new_cost_f < old_cost_f:
   queue.put((new_cost_f, nxt)      )
   lowercase       : int						=new_cost_f
   lowercase       : Optional[int]						=v
  if nxt in visited_backward:
   if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
    lowercase       : List[Any]						=cst_fwd[v] + d + cst_bwd[nxt]
 return shortest_distance


def 				lowercase_					(     __A			:							str       ,   __A			:							str       ,   __A			:							dict       ,   __A			:							dict      )							->   int:



 """simple docstring"""




 lowercase       : Optional[Any]						=-1

 lowercase       : Tuple						=set()
 lowercase       : str						=set()
 lowercase       : List[str]						={source: 0}
 lowercase       : List[str]						={destination: 0}
 lowercase       : Tuple						={source: None}
 lowercase       : List[Any]						={destination: None}
 lowercase       : PriorityQueue[Any]						=PriorityQueue()
 lowercase       : PriorityQueue[Any]						=PriorityQueue()

 lowercase       : Any						=np.inf

 queue_forward.put((0, source)      )
 queue_backward.put((0, destination)      )

 if source == destination:
  return 0

 while not queue_forward.empty() and not queue_backward.empty():
  lowercase	,		lowercase       : int						=queue_forward.get()
  visited_forward.add(__A      )

  lowercase	,		lowercase       : int						=queue_backward.get()
  visited_backward.add(__A      )

  lowercase       : Dict						=pass_and_relaxation(
      __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   )

  lowercase       : List[Any]						=pass_and_relaxation(
      __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   __A       ,   )

  if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
   break

 if shortest_distance != np.inf:
  lowercase       : Union[str, Any]						=shortest_distance
 return shortest_path_distance


SCREAMING_SNAKE_CASE							=						{
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
SCREAMING_SNAKE_CASE							=						{
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
      import doctest

      doctest.testmod()



