

import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__A   :     Union[str, Any]      =			logging.get_logger(__name__)

__A   :     str      =			{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__A   :     List[Any]      =			{
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

__A   :     str      =			{
    '''roberta-base''': 512,
    '''roberta-large''': 512,
    '''roberta-large-mnli''': 512,
    '''distilroberta-base''': 512,
    '''roberta-base-openai-detector''': 512,
    '''roberta-large-openai-detector''': 512,
}
@lru_cache()
def 		SCREAMING_SNAKE_CASE__				(							)					-> int:



    '''simple docstring'''






    lowerCAmelCase				:			List[Any]    			=      (
        list(range(ord('!'				),      ord('~'				) + 1				)				) + list(range(ord('¡'				),      ord('¬'				) + 1				)				) + list(range(ord('®'				),      ord('ÿ'				) + 1				)				)
    )
    lowerCAmelCase				:			Tuple    			=      bs[:]
    lowerCAmelCase				:			int    			=      0
    for b in range(2**8				):
        if b not in bs:
            bs.append(_UpperCAmelCase				)
            cs.append(2**8 + n				)
            n += 1
    lowerCAmelCase				:			Union[str, Any]    			=      [chr(_UpperCAmelCase				) for n in cs]
    return dict(zip(_UpperCAmelCase,      _UpperCAmelCase				)				)
def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase				)					-> int:



    '''simple docstring'''






    lowerCAmelCase				:			Dict    			=      set()
    lowerCAmelCase				:			int    			=      word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)				)
        lowerCAmelCase				:			Dict    			=      char
    return pairs






class    __A				(							lowerCamelCase__ ):
    lowerCAmelCase_							:		Dict						=							VOCAB_FILES_NAMES
    lowerCAmelCase_							:		Optional[Any]						=							PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase_							:		str						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase_							:		Optional[int]						=							["input_ids", "attention_mask"]






    def __init__(	self			:    str    ,				UpperCAmelCase_			:    Union[str, Any]    ,				UpperCAmelCase_			:    Union[str, Any]    ,				UpperCAmelCase_			:    Any="replace"    ,				UpperCAmelCase_			:    Tuple="<s>"    ,				UpperCAmelCase_			:    List[Any]="</s>"    ,				UpperCAmelCase_			:    Any="</s>"    ,				UpperCAmelCase_			:    Union[str, Any]="<s>"    ,				UpperCAmelCase_			:    Tuple="<unk>"    ,				UpperCAmelCase_			:    str="<pad>"    ,				UpperCAmelCase_			:    List[str]="<mask>"    ,				UpperCAmelCase_			:    Union[str, Any]=False    ,				**UpperCAmelCase_			:    str    ,				)     ->   int:
        lowerCAmelCase				:			int    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else bos_token
        lowerCAmelCase				:			str    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else eos_token
        lowerCAmelCase				:			str    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else sep_token
        lowerCAmelCase				:			List[Any]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else cls_token
        lowerCAmelCase				:			Optional[int]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else unk_token
        lowerCAmelCase				:			Optional[int]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        lowerCAmelCase				:			List[Any]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else mask_token

        super().__init__(
            errors=SCREAMING_SNAKE_CASE_    ,				bos_token=SCREAMING_SNAKE_CASE_    ,				eos_token=SCREAMING_SNAKE_CASE_    ,				unk_token=SCREAMING_SNAKE_CASE_    ,				sep_token=SCREAMING_SNAKE_CASE_    ,				cls_token=SCREAMING_SNAKE_CASE_    ,				pad_token=SCREAMING_SNAKE_CASE_    ,				mask_token=SCREAMING_SNAKE_CASE_    ,				add_prefix_space=SCREAMING_SNAKE_CASE_    ,				**SCREAMING_SNAKE_CASE_    ,				)

        with open(SCREAMING_SNAKE_CASE_    ,				encoding='utf-8'    ) as vocab_handle:
            lowerCAmelCase				:			int    			=      json.load(SCREAMING_SNAKE_CASE_    )
        lowerCAmelCase				:			Optional[Any]    			=      {v: k for k, v in self.encoder.items()}
        lowerCAmelCase				:			Any    			=      errors  # how to handle errors in decoding
        lowerCAmelCase				:			Union[str, Any]    			=      bytes_to_unicode()
        lowerCAmelCase				:			Any    			=      {v: k for k, v in self.byte_encoder.items()}
        with open(SCREAMING_SNAKE_CASE_    ,				encoding='utf-8'    ) as merges_handle:
            lowerCAmelCase				:			Dict    			=      merges_handle.read().split('\n'    )[1:-1]
        lowerCAmelCase				:			Optional[int]    			=      [tuple(merge.split()    ) for merge in bpe_merges]
        lowerCAmelCase				:			Optional[int]    			=      dict(zip(SCREAMING_SNAKE_CASE_    ,				range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
        lowerCAmelCase				:			Tuple    			=      {}
        lowerCAmelCase				:			Optional[int]    			=      add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowerCAmelCase				:			Dict    			=      re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'    )






    @property
    def 	lowercase__ (	self			:    Optional[Any]    )     ->   Optional[Any]:
        return len(self.encoder    )






    def 	lowercase__ (	self			:    str    )     ->   str:
        return dict(self.encoder    ,				**self.added_tokens_encoder    )






    def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    Dict    )     ->   Any:
        if token in self.cache:
            return self.cache[token]
        lowerCAmelCase				:			List[str]    			=      tuple(SCREAMING_SNAKE_CASE_    )
        lowerCAmelCase				:			Union[str, Any]    			=      get_pairs(SCREAMING_SNAKE_CASE_    )

        if not pairs:
            return token

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

                if word[i] == first and i < len(SCREAMING_SNAKE_CASE_    ) - 1 and word[i + 1] == second:
                    new_word.append(first + second    )
                    i += 2
                else:
                    new_word.append(word[i]    )
                    i += 1
            lowerCAmelCase				:			List[str]    			=      tuple(SCREAMING_SNAKE_CASE_    )
            lowerCAmelCase				:			Dict    			=      new_word
            if len(SCREAMING_SNAKE_CASE_    ) == 1:
                break
            else:
                lowerCAmelCase				:			List[str]    			=      get_pairs(SCREAMING_SNAKE_CASE_    )
        lowerCAmelCase				:			List[str]    			=      ' '.join(SCREAMING_SNAKE_CASE_    )
        lowerCAmelCase				:			Optional[Any]    			=      word
        return word






    def 	lowercase__ (	self			:    Optional[int]    ,				UpperCAmelCase_			:    Union[str, Any]    )     ->   Dict:
        lowerCAmelCase				:			List[Any]    			=      []
        for token in re.findall(self.pat    ,				SCREAMING_SNAKE_CASE_    ):
            lowerCAmelCase				:			Optional[Any]    			=      ''.join(
                self.byte_encoder[b] for b in token.encode('utf-8'    )    )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
            bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE_    ).split(' '    )    )
        return bpe_tokens






    def 	lowercase__ (	self			:    Optional[int]    ,				UpperCAmelCase_			:    Dict    )     ->   Optional[Any]:
        return self.encoder.get(SCREAMING_SNAKE_CASE_    ,				self.encoder.get(self.unk_token    )    )






    def 	lowercase__ (	self			:    str    ,				UpperCAmelCase_			:    str    )     ->   int:
        return self.decoder.get(SCREAMING_SNAKE_CASE_    )






    def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    Optional[int]    )     ->   Tuple:
        lowerCAmelCase				:			Any    			=      ''.join(SCREAMING_SNAKE_CASE_    )
        lowerCAmelCase				:			Tuple    			=      bytearray([self.byte_decoder[c] for c in text]    ).decode('utf-8'    ,				errors=self.errors    )
        return text






    def 	lowercase__ (	self			:    Union[str, Any]    ,				UpperCAmelCase_			:    str    ,				UpperCAmelCase_			:    Optional[str] = None    )     ->   Union[str, Any]:
        if not os.path.isdir(SCREAMING_SNAKE_CASE_    ):
            logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
            return
        lowerCAmelCase				:			List[Any]    			=      os.path.join(
            SCREAMING_SNAKE_CASE_    ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
        lowerCAmelCase				:			Optional[Any]    			=      os.path.join(
            SCREAMING_SNAKE_CASE_    ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )

        with open(SCREAMING_SNAKE_CASE_    ,				'w'    ,				encoding='utf-8'    ) as f:
            f.write(json.dumps(self.encoder    ,				indent=2    ,				sort_keys=SCREAMING_SNAKE_CASE_    ,				ensure_ascii=SCREAMING_SNAKE_CASE_    ) + '\n'    )

        lowerCAmelCase				:			Optional[Any]    			=      0
        with open(SCREAMING_SNAKE_CASE_    ,				'w'    ,				encoding='utf-8'    ) as writer:
            writer.write('#version: 0.2\n'    )
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,				key=lambda UpperCAmelCase_    : kv[1]    ):
                if index != token_index:
                    logger.warning(
                        f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                        ' Please check that the tokenizer is not corrupted!'    )
                    lowerCAmelCase				:			Optional[int]    			=      token_index
                writer.write(' '.join(SCREAMING_SNAKE_CASE_    ) + '\n'    )
                index += 1

        return vocab_file, merge_file






    def 	lowercase__ (	self			:    List[str]    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    )     ->   Any:
        if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowerCAmelCase				:			List[Any]    			=      [self.cls_token_id]
        lowerCAmelCase				:			Tuple    			=      [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep






    def 	lowercase__ (	self			:    Optional[Any]    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    ,				UpperCAmelCase_			:    bool = False    )     ->   List[Any]:
        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=SCREAMING_SNAKE_CASE_    ,				token_ids_a=SCREAMING_SNAKE_CASE_    ,				already_has_special_tokens=SCREAMING_SNAKE_CASE_    )

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






    def 	lowercase__ (	self			:    str    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    )     ->   Any:
        lowerCAmelCase				:			Tuple    			=      [self.sep_token_id]
        lowerCAmelCase				:			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 + sep + token_ids_a + sep    ) * [0]






    def 	lowercase__ (	self			:    Tuple    ,				UpperCAmelCase_			:    str    ,				UpperCAmelCase_			:    Any=False    ,				**UpperCAmelCase_			:    List[Any]    )     ->   Optional[int]:
        lowerCAmelCase				:			List[Any]    			=      kwargs.pop('add_prefix_space'    ,				self.add_prefix_space    )
        if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_    ) > 0 and not text[0].isspace()):
            lowerCAmelCase				:			List[str]    			=      ' ' + text
        return (text, kwargs)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


__A   :     Dict      =			{}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A   :     List[Any]      =			['''BarthezTokenizer''']

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A   :     List[str]      =			['''BarthezTokenizerFast''']


if TYPE_CHECKING:
 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_barthez import BarthezTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_barthez_fast import BarthezTokenizerFast

else:
 import sys

 __A   :     Tuple      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





