
from typing import Dict, List, Optional

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


__lowerCamelCase							=       logging.get_logger(__name__)


__lowerCamelCase							=       {
    """nielsr/canine-s""": 20_48,
}

# Unicode defines 1,114,112 total “codepoints”
__lowerCamelCase							=       1_11_41_12

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
__lowerCamelCase							=       0

__lowerCamelCase							=       0xe_000
__lowerCamelCase							=       0xe_001
__lowerCamelCase							=       0xe_002
__lowerCamelCase							=       0xe_003
__lowerCamelCase							=       0xe_004

# Maps special codepoints to human-readable names.
__lowerCamelCase							=       {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
__lowerCamelCase							=       {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}






class   UpperCAmelCase		(						A_ ):
   A__					:		str						     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



   def __init__(self		:					List[Any]    ,						snake_case__		:					Optional[Any]=chr(snake_case__ )    ,						snake_case__		:					Optional[int]=chr(snake_case__ )    ,						snake_case__		:					Optional[int]=chr(snake_case__ )    ,						snake_case__		:					Dict=chr(snake_case__ )    ,						snake_case__		:					List[Any]=chr(snake_case__ )    ,						snake_case__		:					Tuple=chr(snake_case__ )    ,						snake_case__		:					Optional[int]=False    ,						snake_case__		:					Optional[int]=20_48    ,						**snake_case__		:					str    ,						)		->	Tuple:


          '''simple docstring'''


          snake_case       :   Dict							=      AddedToken(snake_case__    ,						lstrip=snake_case__    ,						rstrip=snake_case__ ) if isinstance(snake_case__    ,						snake_case__ ) else bos_token
          snake_case       :   List[Any]							=      AddedToken(snake_case__    ,						lstrip=snake_case__    ,						rstrip=snake_case__ ) if isinstance(snake_case__    ,						snake_case__ ) else eos_token
          snake_case       :   Any							=      AddedToken(snake_case__    ,						lstrip=snake_case__    ,						rstrip=snake_case__ ) if isinstance(snake_case__    ,						snake_case__ ) else sep_token
          snake_case       :   Union[str, Any]							=      AddedToken(snake_case__    ,						lstrip=snake_case__    ,						rstrip=snake_case__ ) if isinstance(snake_case__    ,						snake_case__ ) else cls_token
          snake_case       :   str							=      AddedToken(snake_case__    ,						lstrip=snake_case__    ,						rstrip=snake_case__ ) if isinstance(snake_case__    ,						snake_case__ ) else pad_token

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

          super().__init__(
              bos_token=snake_case__    ,						eos_token=snake_case__    ,						sep_token=snake_case__    ,						cls_token=snake_case__    ,						pad_token=snake_case__    ,						mask_token=snake_case__    ,						add_prefix_space=snake_case__    ,						model_max_length=snake_case__    ,						**snake_case__    ,						)

          # Creates a mapping for looking up the IDs of special symbols.
          snake_case       :   Dict[str, int]							=      {}
          for codepoint, name in SPECIAL_CODEPOINTS.items():
                 snake_case       :   List[str]							=      codepoint

          # Creates a mapping for looking up the string forms of special symbol IDs.
          snake_case       :   Dict[int, str]							=      {
              codepoint: name for name, codepoint in self._special_codepoints.items()
          }

          snake_case       :   Dict							=      UNICODE_VOCAB_SIZE
          snake_case       :   Dict							=      len(self._special_codepoints )



   @property
   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[Any] )		->	int:


          '''simple docstring'''


          return self._unicode_vocab_size



   def 				_SCREAMING_SNAKE_CASE   (self		:					str    ,						snake_case__		:					str )		->	List[str]:


          '''simple docstring'''


          return list(snake_case__ )



   def 				_SCREAMING_SNAKE_CASE   (self		:					List[Any]    ,						snake_case__		:					str )		->	int:


          '''simple docstring'''


          try:
                 return ord(snake_case__ )
          except TypeError:
                 raise ValueError(f"""invalid token: '{token}'""" )



   def 				_SCREAMING_SNAKE_CASE   (self		:					List[str]    ,						snake_case__		:					int )		->	str:


          '''simple docstring'''


          try:
                 if index in SPECIAL_CODEPOINTS:
                        return SPECIAL_CODEPOINTS[index]
                 return chr(snake_case__ )
          except TypeError:
                 raise ValueError(f"""invalid id: {index}""" )



   def 				_SCREAMING_SNAKE_CASE   (self		:					Union[str, Any]    ,						snake_case__		:					Tuple )		->	str:


          '''simple docstring'''


          return "".join(snake_case__ )



   def 				_SCREAMING_SNAKE_CASE   (self		:					str    ,						snake_case__		:					List[int]    ,						snake_case__		:					Optional[List[int]] = None )		->	List[int]:


          '''simple docstring'''


          snake_case       :   Any							=      [self.sep_token_id]
          snake_case       :   List[Any]							=      [self.cls_token_id]

          snake_case       :   str							=      cls + token_ids_a + sep
          if token_ids_a is not None:
                 result += token_ids_a + sep
          return result



   def 				_SCREAMING_SNAKE_CASE   (self		:					List[str]    ,						snake_case__		:					List[int]    ,						snake_case__		:					Optional[List[int]] = None    ,						snake_case__		:					bool = False )		->	List[int]:


          '''simple docstring'''


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

          snake_case       :   Tuple							=      [1] + ([0] * len(snake_case__ )) + [1]
          if token_ids_a is not None:
                 result += ([0] * len(snake_case__ )) + [1]
          return result



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[int]    ,						snake_case__		:					List[int]    ,						snake_case__		:					Optional[List[int]] = None )		->	List[int]:


          '''simple docstring'''


          snake_case       :   str							=      [self.sep_token_id]
          snake_case       :   Optional[int]							=      [self.cls_token_id]

          snake_case       :   int							=      len(cls + token_ids_a + sep ) * [0]
          if token_ids_a is not None:
                 result += len(token_ids_a + sep ) * [1]
          return result



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[Any]    ,						snake_case__		:					str    ,						snake_case__		:					Optional[str] = None )		->	List[Any]:


          '''simple docstring'''


          return ()







import pytest

from datasets import inspect_metric, list_metrics, load_metric


@pytest.fixture
def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]    ):
       monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"				,					set()    )


@pytest.fixture
def 			UpperCamelCase					(    __lowerCamelCase     : str    ):






       class   UpperCAmelCase		:



          def __init__(self		:					Optional[int]    ,						snake_case__		:					str )		->	Any:


                 '''simple docstring'''


                 snake_case       :   List[str]							=      metric_id






       class   UpperCAmelCase		:
          A__					:		List[str]						     =     [MetricMock(A_ ) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]



          def 				_SCREAMING_SNAKE_CASE   (self		:					int )		->	List[str]:


                 '''simple docstring'''


                 return self._metrics



       monkeypatch.setattr("datasets.inspect.huggingface_hub"				,					HfhMock()    )




@pytest.mark.parametrize(
    "func, args"				,					[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]    )
def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : int				,					__lowerCamelCase     : Any    ):
       if "tmp_path" in args:
              snake_case       :   str							=      tuple(arg if arg != "tmp_path" else tmp_path for arg in args    )
       with pytest.warns(__lowerCamelCase				,					match="https://huggingface.co/docs/evaluate"    ):
              func(*__lowerCamelCase    )





