





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

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


if is_sentencepiece_available():
      from .tokenization_pegasus import PegasusTokenizer
else:
      SCREAMING_SNAKE_CASE_						       =	None


SCREAMING_SNAKE_CASE_						       =	logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_						       =	"""▁"""

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

SCREAMING_SNAKE_CASE_						       =	{
    """vocab_file""": {"""google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"""},
    """tokenizer_file""": {
        """google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"""
    },
}

SCREAMING_SNAKE_CASE_						       =	{
    """google/pegasus-xsum""": 5_1_2,
}

class 		UpperCamelCase__			(				lowerCAmelCase_       ):



     '''simple docstring'''

     __snake_case   :     Tuple		     =      VOCAB_FILES_NAMES
     __snake_case   :     Optional[int]		     =      PRETRAINED_VOCAB_FILES_MAP
     __snake_case   :     Optional[Any]		     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case   :     int		     =      PegasusTokenizer
     __snake_case   :     int		     =      ["input_ids", "attention_mask"]






     def __init__(							self						:   Dict						,lowerCamelCase__						:   Dict=None						,lowerCamelCase__						:   Union[str, Any]=None						,lowerCamelCase__						:   List[Any]="<pad>"						,lowerCamelCase__						:   Union[str, Any]="</s>"						,lowerCamelCase__						:   Union[str, Any]="<unk>"						,lowerCamelCase__						:   str="<mask_2>"						,lowerCamelCase__						:   int="<mask_1>"						,lowerCamelCase__						:   Dict=None						,lowerCamelCase__						:   Union[str, Any]=103						,**lowerCamelCase__						:   Any						,)					->		Union[str, Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						offset

           if additional_special_tokens is not None:
                 if not isinstance(lowerCamelCase__						,lowerCamelCase__	):
                       raise TypeError(
                           F"""additional_special_tokens should be of type {type(lowerCamelCase__	)}, but is"""
                           F""" {type(lowerCamelCase__	)}"""	)

                 SCREAMING_SNAKE_CASE		=						(
                     ([mask_token_sent] + additional_special_tokens)
                     if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                     else additional_special_tokens
                 )
                 # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
                 additional_special_tokens_extended += [
                     F"""<unk_{i}>""" for i in range(len(lowerCamelCase__	)						,self.offset - 1	)
                 ]

                 if len(set(lowerCamelCase__	)	) != len(lowerCamelCase__	):
                       raise ValueError(
                           """Please make sure that the provided additional_special_tokens do not contain an incorrectly"""
                           F""" shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}."""	)
                 SCREAMING_SNAKE_CASE		=						additional_special_tokens_extended
           else:
                 SCREAMING_SNAKE_CASE		=						[mask_token_sent] if mask_token_sent is not None else []
                 additional_special_tokens += [F"""<unk_{i}>""" for i in range(2						,self.offset	)]

           super().__init__(
               lowerCamelCase__						,tokenizer_file=lowerCamelCase__						,pad_token=lowerCamelCase__						,eos_token=lowerCamelCase__						,unk_token=lowerCamelCase__						,mask_token=lowerCamelCase__						,mask_token_sent=lowerCamelCase__						,offset=lowerCamelCase__						,additional_special_tokens=lowerCamelCase__						,**lowerCamelCase__						,)
           SCREAMING_SNAKE_CASE		=						vocab_file
           SCREAMING_SNAKE_CASE		=						False if not self.vocab_file else True






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[str]						,lowerCamelCase__						:   Tuple	)					->		List[Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						set(self.all_special_ids	)  # call it once instead of inside list comp
           all_special_ids.remove(self.unk_token_id	)  # <unk> is only sometimes special

           if all_special_ids != set(range(len(self.additional_special_tokens	) + 3	)	):
                 raise ValueError(
                     """There should be 3 special tokens: mask_token, pad_token, and eos_token +"""
                     F""" {len(self.additional_special_tokens	)} additional_special_tokens, but got {all_special_ids}"""	)

           return [1 if x in all_special_ids else 0 for x in seq]






     def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[Any]						,lowerCamelCase__						:   List						,lowerCamelCase__						:   Optional[List] = None						,lowerCamelCase__						:   bool = False	)					->		List[int]:




           '''simple docstring'''


           if already_has_special_tokens:
                 return self._special_token_mask(lowerCamelCase__	)
           elif token_ids_a is None:
                 return self._special_token_mask(lowerCamelCase__	) + [1]
           else:
                 return self._special_token_mask(token_ids_a + token_ids_a	) + [1]






     def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[Any]						,lowerCamelCase__						:   List[Any]						,lowerCamelCase__						:   Dict=None	)					->		List[int]:




           '''simple docstring'''


           if token_ids_a is None:
                 return token_ids_a + [self.eos_token_id]
           # We don't expect to process pairs, but leave the pair logic for API consistency
           return token_ids_a + token_ids_a + [self.eos_token_id]






     def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[int]						,lowerCamelCase__						:   str						,lowerCamelCase__						:   Optional[str] = None	)					->		Tuple[str]:




           '''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
           SCREAMING_SNAKE_CASE		=						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,)









class 		UpperCamelCase__			:



     '''simple docstring'''

     def __init__(							self						:   int	)					->		str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						{}






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[Any]	)					->		None:




           '''simple docstring'''


           print(self.vertex	)
           for i in self.vertex:
                 print(lowerCamelCase__						,""" -> """						,""" -> """.join([str(lowerCamelCase__	) for j in self.vertex[i]]	)	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[Any]						,lowerCamelCase__						:   int						,lowerCamelCase__						:   int	)					->		None:




           '''simple docstring'''


           if from_vertex in self.vertex:
                 self.vertex[from_vertex].append(lowerCamelCase__	)
           else:
                 # else make a new vertex
                 SCREAMING_SNAKE_CASE		=						[to_vertex]






     def     SCREAMING_SNAKE_CASE__  (							self						:   str	)					->		None:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						[False] * len(self.vertex	)

           # call the recursive helper function
           for i in range(len(self.vertex	)	):
                 if not visited[i]:
                       self.dfs_recursive(lowerCamelCase__						,lowerCamelCase__	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   Any						,lowerCamelCase__						:   int						,lowerCamelCase__						:   list	)					->		None:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						True

           print(lowerCamelCase__						,end=""" """	)

           # Recur for all the vertices that are adjacent to this node
           for i in self.vertex:
                 if not visited[i]:
                       self.dfs_recursive(lowerCamelCase__						,lowerCamelCase__	)


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE_						       =	Graph()
      g.add_edge(0, 1)
      g.add_edge(0, 2)
      g.add_edge(1, 2)
      g.add_edge(2, 0)
      g.add_edge(2, 3)
      g.add_edge(3, 3)

      g.print_graph()
      print("""DFS:""")
      g.dfs()

      # OUTPUT:
      # 0  ->  1 -> 2
      # 1  ->  2
      # 2  ->  0 -> 3
      # 3  ->  3
      # DFS:
      #  0 1 2 3


