




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


a_   		=     logging.get_logger(__name__)

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

a_   		=     {
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

a_   		=     {
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


a_   		=     {
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: Union[str, Any]    =					VOCAB_FILES_NAMES
      lowerCAmelCase__			: List[Any]    =					PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__			: Union[str, Any]    =					PRETRAINED_INIT_CONFIGURATION
      lowerCAmelCase__			: Union[str, Any]    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__			: Any    =					SqueezeBertTokenizer







      def __init__(     self					: Optional[int] ,       snake_case					: int=None ,       snake_case					: Optional[Any]=None ,       snake_case					: Union[str, Any]=True ,       snake_case					: Tuple="[UNK]" ,       snake_case					: Dict="[SEP]" ,       snake_case					: List[str]="[PAD]" ,       snake_case					: List[str]="[CLS]" ,       snake_case					: Union[str, Any]="[MASK]" ,       snake_case					: List[Any]=True ,       snake_case					: str=None ,       **snake_case					: List[str] ,       ):
          super().__init__(
              snake_case ,       tokenizer_file=snake_case ,       do_lower_case=snake_case ,       unk_token=snake_case ,       sep_token=snake_case ,       pad_token=snake_case ,       cls_token=snake_case ,       mask_token=snake_case ,       tokenize_chinese_chars=snake_case ,       strip_accents=snake_case ,       **snake_case ,       )

          __UpperCamelCase  		=						json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
          if (
              normalizer_state.get('''lowercase''' ,       snake_case				) != do_lower_case
              or normalizer_state.get('''strip_accents''' ,       snake_case				) != strip_accents
              or normalizer_state.get('''handle_chinese_chars''' ,       snake_case				) != tokenize_chinese_chars
          ):
              __UpperCamelCase  		=						getattr(snake_case ,       normalizer_state.pop('''type'''				)				)
              __UpperCamelCase  		=						do_lower_case
              __UpperCamelCase  		=						strip_accents
              __UpperCamelCase  		=						tokenize_chinese_chars
              __UpperCamelCase  		=						normalizer_class(**snake_case				)

          __UpperCamelCase  		=						do_lower_case







      def       snake_case	(     self					: str ,       snake_case					: int ,       snake_case					: Tuple=None				):
          __UpperCamelCase  		=						[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       snake_case	(     self					: Union[str, Any] ,       snake_case					: List[int] ,       snake_case					: Optional[List[int]] = None				):
          __UpperCamelCase  		=						[self.sep_token_id]
          __UpperCamelCase  		=						[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       snake_case	(     self					: Any ,       snake_case					: str ,       snake_case					: Optional[str] = None				):
          __UpperCamelCase  		=						self._tokenizer.model.save(snake_case ,       name=snake_case				)
          return tuple(snake_case				)












from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: Any    =					""
      lowerCAmelCase__			: Any    =					"hf-legacy"  # "hf://"" is reserved for hffs







      def __init__(     self					: str ,       snake_case					: Optional[DatasetInfo] = None ,       snake_case					: Optional[str] = None ,       **snake_case					: List[Any] ,       ):
          super().__init__(self ,       **snake_case				)
          __UpperCamelCase  		=						repo_info
          __UpperCamelCase  		=						token
          __UpperCamelCase  		=						None







      def       snake_case	(     self					: List[Any]				):
          if self.dir_cache is None:
              __UpperCamelCase  		=						{}
              for hf_file in self.repo_info.siblings:
                  # TODO(QL): add sizes
                  __UpperCamelCase  		=						{
                      '''name''': hf_file.rfilename,
                      '''size''': None,
                      '''type''': '''file''',
                  }
                  self.dir_cache.update(
                      {
                          str(snake_case				): {'''name''': str(snake_case				), '''size''': None, '''type''': '''directory'''}
                          for d in list(PurePosixPath(hf_file.rfilename				).parents				)[:-1]
                      }				)







      def       snake_case	(     self					: Dict ,       snake_case					: str ,       snake_case					: str = "rb" ,       **snake_case					: Union[str, Any] ,       ):
          if not isinstance(self.repo_info ,       snake_case				):
              raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"				)
          __UpperCamelCase  		=						hf_hub_url(self.repo_info.id ,       snake_case ,       revision=self.repo_info.sha				)
          return fsspec.open(
              snake_case ,       mode=snake_case ,       headers=get_authentication_headers_for_url(snake_case ,       use_auth_token=self.token				) ,       client_kwargs={'''trust_env''': True} ,       ).open()







      def       snake_case	(     self					: Optional[Any] ,       snake_case					: Tuple ,       **snake_case					: List[Any]				):
          self._get_dirs()
          __UpperCamelCase  		=						self._strip_protocol(snake_case				)
          if path in self.dir_cache:
              return self.dir_cache[path]
          else:
              raise FileNotFoundError(snake_case				)







      def       snake_case	(     self					: List[str] ,       snake_case					: int ,       snake_case					: Tuple=False ,       **snake_case					: Dict				):
          self._get_dirs()
          __UpperCamelCase  		=						PurePosixPath(path.strip('''/'''				)				)
          __UpperCamelCase  		=						{}
          for p, f in self.dir_cache.items():
              __UpperCamelCase  		=						PurePosixPath(p.strip('''/'''				)				)
              __UpperCamelCase  		=						p.parent
              if root == path:
                  __UpperCamelCase  		=						f
          __UpperCamelCase  		=						list(paths.values()				)
          if detail:
              return out
          else:
              return sorted(f['''name'''] for f in out				)






