





from queue import PriorityQueue
from typing import Any

import numpy as np


def     lowerCamelCase_	(      lowerCAmelCase:	dict    ,							lowerCAmelCase:	str    ,							lowerCAmelCase:	set    ,							lowerCAmelCase:	set    ,							lowerCAmelCase:	dict    ,							lowerCAmelCase:	dict    ,							lowerCAmelCase:	PriorityQueue    ,							lowerCAmelCase:	dict    ,							lowerCAmelCase:	float | int    ,							)->		float | int:
  for nxt, d in graph[v]:
    if nxt in visited_forward:
      continue
    _snake_case   :				Union[str, Any]														=	cst_fwd.get(lowerCAmelCase    ,							np.inf				)
    _snake_case   :				Tuple														=	cst_fwd[v] + d
    if new_cost_f < old_cost_f:
      queue.put((new_cost_f, nxt)				)
      _snake_case   :				Dict														=	new_cost_f
      _snake_case   :				List[str]														=	v
    if nxt in visited_backward:
      if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
        _snake_case   :				Optional[int]														=	cst_fwd[v] + d + cst_bwd[nxt]
  return shortest_distance


def     lowerCamelCase_	(      lowerCAmelCase:	str    ,							lowerCAmelCase:	str    ,							lowerCAmelCase:	dict    ,							lowerCAmelCase:	dict				)->		int:
  _snake_case   :				Optional[Any]														=	-1

  _snake_case   :				Any														=	set()
  _snake_case   :				Union[str, Any]														=	set()
  _snake_case   :				List[Any]														=	{source: 0}
  _snake_case   :				Tuple														=	{destination: 0}
  _snake_case   :				str														=	{source: None}
  _snake_case   :				Optional[Any]														=	{destination: None}
  _snake_case   :				PriorityQueue[Any]														=	PriorityQueue()
  _snake_case   :				PriorityQueue[Any]														=	PriorityQueue()

  _snake_case   :				List[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():
    _snake_case   :				Optional[int]														=	queue_forward.get()
    visited_forward.add(lowerCAmelCase				)

    _snake_case   :				Dict														=	queue_backward.get()
    visited_backward.add(lowerCAmelCase				)

    _snake_case   :				Any														=	pass_and_relaxation(
        lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							)

    _snake_case   :				Optional[Any]														=	pass_and_relaxation(
        lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							)

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

  if shortest_distance != np.inf:
    _snake_case   :				Tuple														=	shortest_distance
  return shortest_path_distance


lowerCAmelCase_						   =    {
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}
lowerCAmelCase_						   =    {
    """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()











import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


lowerCAmelCase_						   =    {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase_						   =    {
    """vocab_file""": {
        """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """unc-nlp/lxmert-base-uncased""": (
            """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCAmelCase_						   =    {
    """unc-nlp/lxmert-base-uncased""": 512,
}

lowerCAmelCase_						   =    {
    """unc-nlp/lxmert-base-uncased""": {"""do_lower_case""": True},
}



class        _lowerCAmelCase    (			UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       List[Any]      					=VOCAB_FILES_NAMES
  a_							:       Tuple      					=PRETRAINED_VOCAB_FILES_MAP
  a_							:       Optional[Any]      					=PRETRAINED_INIT_CONFIGURATION
  a_							:       Any      					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_							:       Any      					=LxmertTokenizer







  def __init__(      self      :					Any      ,				UpperCamelCase      :					Union[str, Any]=None      ,				UpperCamelCase      :					Dict=None      ,				UpperCamelCase      :					List[str]=True      ,				UpperCamelCase      :					List[str]="[UNK]"      ,				UpperCamelCase      :					List[Any]="[SEP]"      ,				UpperCamelCase      :					List[Any]="[PAD]"      ,				UpperCamelCase      :					Optional[Any]="[CLS]"      ,				UpperCamelCase      :					Optional[int]="[MASK]"      ,				UpperCamelCase      :					Optional[int]=True      ,				UpperCamelCase      :					str=None      ,				**UpperCamelCase      :					List[str]      ,				):


    '''simple docstring'''





    super().__init__(
        UpperCamelCase      ,				tokenizer_file=UpperCamelCase      ,				do_lower_case=UpperCamelCase      ,				unk_token=UpperCamelCase      ,				sep_token=UpperCamelCase      ,				pad_token=UpperCamelCase      ,				cls_token=UpperCamelCase      ,				mask_token=UpperCamelCase      ,				tokenize_chinese_chars=UpperCamelCase      ,				strip_accents=UpperCamelCase      ,				**UpperCamelCase      ,				)

    _snake_case   :				Tuple														=	json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
    if (
        normalizer_state.get('lowercase'      ,				UpperCamelCase							) != do_lower_case
        or normalizer_state.get('strip_accents'      ,				UpperCamelCase							) != strip_accents
        or normalizer_state.get('handle_chinese_chars'      ,				UpperCamelCase							) != tokenize_chinese_chars
    ):
      _snake_case   :				List[Any]														=	getattr(UpperCamelCase      ,				normalizer_state.pop('type'							)							)
      _snake_case   :				Optional[int]														=	do_lower_case
      _snake_case   :				Dict														=	strip_accents
      _snake_case   :				Optional[int]														=	tokenize_chinese_chars
      _snake_case   :				Optional[Any]														=	normalizer_class(**UpperCamelCase							)

    _snake_case   :				int														=	do_lower_case







  def UpperCamelCase_ (      self      :					int      ,				UpperCamelCase      :					List[str]      ,				UpperCamelCase      :					str=None							):


    '''simple docstring'''





    _snake_case   :				List[Any]														=	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

    if token_ids_a:
      output += token_ids_a + [self.sep_token_id]

    return output







  def UpperCamelCase_ (      self      :					List[str]      ,				UpperCamelCase      :					List[int]      ,				UpperCamelCase      :					Optional[List[int]] = None							):


    '''simple docstring'''





    _snake_case   :				Tuple														=	[self.sep_token_id]
    _snake_case   :				List[str]														=	[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							) * [0] + len(token_ids_a + sep							) * [1]







  def UpperCamelCase_ (      self      :					int      ,				UpperCamelCase      :					str      ,				UpperCamelCase      :					Optional[str] = None							):


    '''simple docstring'''





    _snake_case   :				int														=	self._tokenizer.model.save(UpperCamelCase      ,				name=UpperCamelCase							)
    return tuple(UpperCamelCase							)




