



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

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


__lowerCamelCase         =			logging.get_logger(__name__)

__lowerCamelCase         =			{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

__lowerCamelCase         =			{
    '''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''',
    },
}

__lowerCamelCase         =			{
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}







def    _snake_case (       __snake_case    )     ->     Optional[Any]:






      '''simple docstring'''







      UpperCAmelCase_  :	List[str]				      =		set()
      UpperCAmelCase_  :	Dict				      =		word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)    )
            UpperCAmelCase_  :	Optional[int]				      =		char

      UpperCAmelCase_  :	Dict				      =		set(__snake_case    )
      return pairs





class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				VOCAB_FILES_NAMES
       _lowerCamelCase			    =				PRETRAINED_VOCAB_FILES_MAP
       _lowerCamelCase			    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



       def __init__(     self     ,lowercase     ,lowercase     ,lowercase="<s>"     ,lowercase="</s>"     ,lowercase="</s>"     ,lowercase="<s>"     ,lowercase="<unk>"     ,lowercase="<pad>"     ,lowercase="<mask>"     ,**lowercase     ,):

             """simple docstring"""





             super().__init__(
                 bos_token=lowercase     ,eos_token=lowercase     ,unk_token=lowercase     ,sep_token=lowercase     ,cls_token=lowercase     ,pad_token=lowercase     ,mask_token=lowercase     ,**lowercase     ,)

             UpperCAmelCase_  :	Dict				      =		vocab_file
             UpperCAmelCase_  :	Optional[int]				      =		merges_file

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

             self.add_from_file(lowercase)

             UpperCAmelCase_  :	Any				      =		{v: k for k, v in self.encoder.items()}

             with open(lowercase     ,encoding="utf-8") as merges_handle:
                   UpperCAmelCase_  :	List[str]				      =		merges_handle.read().split("\n")[:-1]
             UpperCAmelCase_  :	List[str]				      =		[tuple(merge.split()[:-1]) for merge in merges]
             UpperCAmelCase_  :	Optional[Any]				      =		dict(zip(lowercase     ,range(len(lowercase))))
             UpperCAmelCase_  :	int				      =		{}



       def  A_   (     self     ,lowercase     ,lowercase = None):

             """simple docstring"""





             if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             UpperCAmelCase_  :	List[Any]				      =		[self.cls_token_id]
             UpperCAmelCase_  :	str				      =		[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep



       def  A_   (     self     ,lowercase     ,lowercase = None     ,lowercase = False):

             """simple docstring"""





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

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



       def  A_   (     self     ,lowercase     ,lowercase = None):

             """simple docstring"""





             UpperCAmelCase_  :	List[Any]				      =		[self.sep_token_id]
             UpperCAmelCase_  :	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):

             """simple docstring"""





             return len(self.encoder)



       def  A_   (     self):

             """simple docstring"""





             return dict(self.encoder     ,**self.added_tokens_encoder)



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             if token in self.cache:
                   return self.cache[token]
             UpperCAmelCase_  :	Dict				      =		tuple(lowercase)
             UpperCAmelCase_  :	str				      =		tuple(list(word[:-1]) + [word[-1] + "</w>"])
             UpperCAmelCase_  :	List[str]				      =		get_pairs(lowercase)

             if not pairs:
                   return token

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

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[int]				      =		[]

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

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             return self.encoder.get(lowercase     ,self.encoder.get(self.unk_token))



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             return self.decoder.get(lowercase     ,self.unk_token)



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Dict				      =		" ".join(lowercase).replace("@@ "     ,"").strip()
             return out_string



       def  A_   (     self     ,lowercase     ,lowercase = None):

             """simple docstring"""





             if not os.path.isdir(lowercase):
                   logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
                   return
             UpperCAmelCase_  :	str				      =		os.path.join(
                 lowercase     ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
             UpperCAmelCase_  :	Dict				      =		os.path.join(
                 lowercase     ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

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

             return out_vocab_file, out_merge_file



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             if isinstance(lowercase     ,lowercase):
                   try:
                         with open(lowercase     ,"r"     ,encoding="utf-8") as fd:
                               self.add_from_file(lowercase)
                   except FileNotFoundError as fnfe:
                         raise fnfe
                   except UnicodeError:
                         raise Exception(F"""Incorrect encoding detected in {f}, please rebuild the dataset""")
                   return

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





from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase = None     ,lowercase = None     ,lowercase = None     ,lowercase = None     ,lowercase = False     ,lowercase = False     ,lowercase = None     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[Any]				      =		path_or_paths
             UpperCAmelCase_  :	Optional[int]				      =		split if split or isinstance(lowercase     ,lowercase) else "train"
             UpperCAmelCase_  :	Optional[int]				      =		features
             UpperCAmelCase_  :	Dict				      =		cache_dir
             UpperCAmelCase_  :	int				      =		keep_in_memory
             UpperCAmelCase_  :	Tuple				      =		streaming
             UpperCAmelCase_  :	Union[str, Any]				      =		num_proc
             UpperCAmelCase_  :	Union[str, Any]				      =		kwargs



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





             pass


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase = None     ,lowercase = None     ,lowercase = False     ,lowercase = False     ,lowercase = None     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	List[Any]				      =		features
             UpperCAmelCase_  :	List[Any]				      =		cache_dir
             UpperCAmelCase_  :	List[str]				      =		keep_in_memory
             UpperCAmelCase_  :	Optional[int]				      =		streaming
             UpperCAmelCase_  :	Dict				      =		num_proc
             UpperCAmelCase_  :	str				      =		kwargs



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





             pass
