

"""simple docstring"""



from typing import Dict, List, Optional

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


SCREAMING_SNAKE_CASE_					:	int							  =						logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_					:	str							  =						{
    'nielsr/canine-s': 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						1_1_1_4_1_1_2

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

SCREAMING_SNAKE_CASE_					:	List[str]							  =						0Xe_0_0_0
SCREAMING_SNAKE_CASE_					:	Dict							  =						0Xe_0_0_1
SCREAMING_SNAKE_CASE_					:	Optional[Any]							  =						0Xe_0_0_2
SCREAMING_SNAKE_CASE_					:	int							  =						0Xe_0_0_3
SCREAMING_SNAKE_CASE_					:	Tuple							  =						0Xe_0_0_4

# Maps special codepoints to human-readable names.
SCREAMING_SNAKE_CASE_					:	Dict[int, str]							  =						{
    # 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.
SCREAMING_SNAKE_CASE_					:	Dict[str, int]							  =						{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    UpperCAmelCase						 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

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






         """simple docstring"""


         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else bos_token
         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else eos_token
         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else sep_token
         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else cls_token
         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else pad_token

         # Mask token behave like a normal word, i.e. include the space before it
         A__										=  AddedToken(UpperCamelCase    ,						lstrip=UpperCamelCase    ,						rstrip=UpperCamelCase       ) if isinstance(UpperCamelCase    ,						UpperCamelCase       ) else mask_token

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

         # Creates a mapping for looking up the IDs of special symbols.
         A__										=  {}
         for codepoint, name in SPECIAL_CODEPOINTS.items():
              A__										=  codepoint

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

         A__										=  UNICODE_VOCAB_SIZE
         A__										=  len(self._special_codepoints       )

    @property
    def 				UpperCamelCase	(     self: Union[str, Any]       ):






         """simple docstring"""


         return self._unicode_vocab_size

    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: str       ):






         """simple docstring"""


         return list(UpperCamelCase       )

    def 				UpperCamelCase	(     self: Optional[Any]    ,						UpperCamelCase: str       ):






         """simple docstring"""


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

    def 				UpperCamelCase	(     self: Union[str, Any]    ,						UpperCamelCase: int       ):






         """simple docstring"""


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

    def 				UpperCamelCase	(     self: Tuple    ,						UpperCamelCase: List[str]       ):






         """simple docstring"""


         return "".join(UpperCamelCase       )

    def 				UpperCamelCase	(     self: Optional[int]    ,						UpperCamelCase: List[int]    ,						UpperCamelCase: Optional[List[int]] = None       ):






         """simple docstring"""


         A__										=  [self.sep_token_id]
         A__										=  [self.cls_token_id]

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

    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: List[int]    ,						UpperCamelCase: Optional[List[int]] = None    ,						UpperCamelCase: bool = False       ):






         """simple docstring"""


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

         A__										=  [1] + ([0] * len(UpperCamelCase       )) + [1]
         if token_ids_a is not None:
              result += ([0] * len(UpperCamelCase       )) + [1]
         return result

    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: List[int]    ,						UpperCamelCase: Optional[List[int]] = None       ):






         """simple docstring"""


         A__										=  [self.sep_token_id]
         A__										=  [self.cls_token_id]

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





    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: str    ,						UpperCamelCase: Optional[str] = None       ):






         """simple docstring"""


         return ()









"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


SCREAMING_SNAKE_CASE_					:	List[Any]							  =						logging.get_logger(__name__)



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    def __init__(     self: Tuple    ,						*UpperCamelCase: Optional[int]    ,						**UpperCamelCase: Tuple       ):






         """simple docstring"""


         warnings.warn(
             """The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
             """ Please use VideoMAEImageProcessor instead."""    ,						UpperCamelCase    ,						)
         super().__init__(*UpperCamelCase    ,						**UpperCamelCase       )






