




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

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


_snake_case										=       logging.get_logger(__name__)

_snake_case										=       {
    """vocab_file""": """vocab.txt""",
    """merges_file""": """bpe.codes""",
}

_snake_case										=       {
    """vocab_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt""",
    },
    """merges_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes""",
    },
}

_snake_case										=       {
    """vinai/phobert-base""": 256,
    """vinai/phobert-large""": 256,
}







def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Tuple			=						set()
      _A							:     Optional[int]			=						word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)     )
            _A							:     List[Any]			=						char

      _A							:     Dict			=						set(_UpperCAmelCase     )
      return pairs







class 						lowercase							(   UpperCAmelCase_		):
     _a							 =						VOCAB_FILES_NAMES
     _a							 =						PRETRAINED_VOCAB_FILES_MAP
     _a							 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

     def __init__(  self		,     _a		,     _a		,     _a="<s>"		,     _a="</s>"		,     _a="</s>"		,     _a="<s>"		,     _a="<unk>"		,     _a="<pad>"		,     _a="<mask>"		,     **_a		,     )						->							List[Any]:
           super().__init__(
               bos_token=lowerCAmelCase__		,     eos_token=lowerCAmelCase__		,     unk_token=lowerCAmelCase__		,     sep_token=lowerCAmelCase__		,     cls_token=lowerCAmelCase__		,     pad_token=lowerCAmelCase__		,     mask_token=lowerCAmelCase__		,     **lowerCAmelCase__		,     )

           _A							:     Union[str, Any]			=						vocab_file
           _A							:     Optional[int]			=						merges_file

           _A							:     List[str]			=						{}
           _A							:     Optional[Any]			=						0
           _A							:     Optional[int]			=						1
           _A							:     Dict			=						2
           _A							:     Optional[Any]			=						3

           self.add_from_file(lowerCAmelCase__				)

           _A							:     int			=						{v: k for k, v in self.encoder.items()}

           with open(lowerCAmelCase__		,     encoding="""utf-8"""				) as merges_handle:
                 _A							:     int			=						merges_handle.read().split("""\n"""				)[:-1]
           _A							:     int			=						[tuple(merge.split()[:-1]				) for merge in merges]
           _A							:     Tuple			=						dict(zip(lowerCAmelCase__		,     range(len(lowerCAmelCase__				)				)				)				)
           _A							:     Dict			=						{}

     def 					a__	(  self		,     _a		,     _a = None				)						->							str:

           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           _A							:     List[Any]			=						[self.cls_token_id]
           _A							:     Optional[int]			=						[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep

     def 					a__	(  self		,     _a		,     _a = None		,     _a = False				)						->							Union[str, Any]:

           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=lowerCAmelCase__		,     token_ids_a=lowerCAmelCase__		,     already_has_special_tokens=lowerCAmelCase__				)

           if token_ids_a is None:
                 return [1] + ([0] * len(lowerCAmelCase__				)) + [1]
           return [1] + ([0] * len(lowerCAmelCase__				)) + [1, 1] + ([0] * len(lowerCAmelCase__				)) + [1]

     def 					a__	(  self		,     _a		,     _a = None				)						->							int:
           _A							:     Dict			=						[self.sep_token_id]
           _A							:     List[Any]			=						[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]

     @property
     def 					a__	(  self				)						->							int:
           return len(self.encoder				)

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

     def 					a__	(  self		,     _a				)						->							Dict:
           if token in self.cache:
                 return self.cache[token]
           _A							:     Optional[int]			=						tuple(lowerCAmelCase__				)
           _A							:     Dict			=						tuple(list(word[:-1]				) + [word[-1] + """</w>"""]				)
           _A							:     Tuple			=						get_pairs(lowerCAmelCase__				)

           if not pairs:
                 return token

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

                       if word[i] == first and i < len(lowerCAmelCase__				) - 1 and word[i + 1] == second:
                             new_word.append(first + second				)
                             i += 2
                       else:
                             new_word.append(word[i]				)
                             i += 1
                 _A							:     List[Any]			=						tuple(lowerCAmelCase__				)
                 _A							:     int			=						new_word
                 if len(lowerCAmelCase__				) == 1:
                       break
                 else:
                       _A							:     Dict			=						get_pairs(lowerCAmelCase__				)
           _A							:     List[str]			=						"@@ ".join(lowerCAmelCase__				)
           _A							:     Tuple			=						word[:-4]
           _A							:     int			=						word
           return word

     def 					a__	(  self		,     _a				)						->							Tuple:
           _A							:     Dict			=						[]

           _A							:     Optional[int]			=						re.findall(R"""\S+\n?"""		,     lowerCAmelCase__				)

           for token in words:
                 split_tokens.extend(list(self.bpe(lowerCAmelCase__				).split(""" """				)				)				)
           return split_tokens

     def 					a__	(  self		,     _a				)						->							Optional[Any]:
           return self.encoder.get(lowerCAmelCase__		,     self.encoder.get(self.unk_token				)				)

     def 					a__	(  self		,     _a				)						->							Any:
           return self.decoder.get(lowerCAmelCase__		,     self.unk_token				)

     def 					a__	(  self		,     _a				)						->							List[Any]:
           _A							:     int			=						" ".join(lowerCAmelCase__				).replace("""@@ """		,     """"""				).strip()
           return out_string

     def 					a__	(  self		,     _a		,     _a = None				)						->							Optional[int]:
           if not os.path.isdir(lowerCAmelCase__				):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
                 return
           _A							:     List[Any]			=						os.path.join(
               lowerCAmelCase__		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
           _A							:     Optional[Any]			=						os.path.join(
               lowerCAmelCase__		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]				)

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

           if os.path.abspath(self.merges_file				) != os.path.abspath(lowerCAmelCase__				):
                 copyfile(self.merges_file		,     lowerCAmelCase__				)

           return out_vocab_file, out_merge_file



     def 					a__	(  self		,     _a				)						->							Union[str, Any]:
           if isinstance(lowerCAmelCase__		,     lowerCAmelCase__				):
                 try:
                       with open(lowerCAmelCase__		,     """r"""		,     encoding="""utf-8"""				) as fd:
                             self.add_from_file(lowerCAmelCase__				)
                 except FileNotFoundError as fnfe:
                       raise fnfe
                 except UnicodeError:
                       raise Exception(F'''Incorrect encoding detected in {f}, please rebuild the dataset'''				)
                 return

           _A							:     Any			=						f.readlines()
           for lineTmp in lines:
                 _A							:     str			=						lineTmp.strip()
                 _A							:     Any			=						line.rfind(""" """				)
                 if idx == -1:
                       raise ValueError("""Incorrect dictionary format, expected '<token> <cnt>'"""				)
                 _A							:     Optional[int]			=						line[:idx]
                 _A							:     int			=						len(self.encoder				)




def 			A_      (    _UpperCAmelCase    ):
						SCREAMING_SNAKE_CASE_: List[str]  		=       [0] * len(_UpperCAmelCase    )
						SCREAMING_SNAKE_CASE_: List[Any]  		=       []
						SCREAMING_SNAKE_CASE_: str  		=       []
						SCREAMING_SNAKE_CASE_: List[str]  		=       0

						for values in graph.values():
												for i in values:
																		indegree[i] += 1

						for i in range(len(_UpperCAmelCase    )    ):
												if indegree[i] == 0:
																		queue.append(_UpperCAmelCase    )

						while queue:
												SCREAMING_SNAKE_CASE_: Optional[int]  		=       queue.pop(0    )
												cnt += 1
												topo.append(_UpperCAmelCase    )
												for x in graph[vertex]:
																		indegree[x] -= 1
																		if indegree[x] == 0:
																								queue.append(_UpperCAmelCase    )

						if cnt != len(_UpperCAmelCase    ):
												print("Cycle exists"    )
						else:
												print(_UpperCAmelCase    )


# Adjacency List of Graph
lowerCAmelCase							:  Any   	=						{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}



topological_sort(graph)






