




from typing import Dict, List, Optional

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


lowerCamelCase       :	List[str]									=     logging.get_logger(__name__)


lowerCamelCase       :	List[Any]									=     {
    "nielsr/canine-s": 2_048,
}

# Unicode defines 1,114,112 total “codepoints”
lowerCamelCase       :	int									=     1_114_112

# 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       :	Optional[int]									=     0

lowerCamelCase       :	List[Any]									=     0xe0_00
lowerCamelCase       :	List[Any]									=     0xe0_01
lowerCamelCase       :	Any									=     0xe0_02
lowerCamelCase       :	Dict									=     0xe0_03
lowerCamelCase       :	Union[str, Any]									=     0xe0_04

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







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 UpperCamelCase		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

 def __init__(       self      :						List[Any]		,							A_      :						int=chr(A_						)		,							A_      :						Tuple=chr(A_						)		,							A_      :						Dict=chr(A_						)		,							A_      :						Optional[int]=chr(A_						)		,							A_      :						Any=chr(A_						)		,							A_      :						List[str]=chr(A_						)		,							A_      :						str=False		,							A_      :						Dict=2048		,							**A_      :						Dict		,							)     ->			Any:

       """simple docstring"""






       lowerCamelCase_	  =					AddedToken(A_		,							lstrip=A_		,							rstrip=A_						) if isinstance(A_		,							A_						) else bos_token
       lowerCamelCase_	  =					AddedToken(A_		,							lstrip=A_		,							rstrip=A_						) if isinstance(A_		,							A_						) else eos_token
       lowerCamelCase_	  =					AddedToken(A_		,							lstrip=A_		,							rstrip=A_						) if isinstance(A_		,							A_						) else sep_token
       lowerCamelCase_	  =					AddedToken(A_		,							lstrip=A_		,							rstrip=A_						) if isinstance(A_		,							A_						) else cls_token
       lowerCamelCase_	  =					AddedToken(A_		,							lstrip=A_		,							rstrip=A_						) if isinstance(A_		,							A_						) else pad_token

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

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

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

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

       lowerCamelCase_	  =					UNICODE_VOCAB_SIZE
       lowerCamelCase_	  =					len(self._special_codepoints						)

 @property
 def        a__				(       self      :						int						)     ->			int:

       """simple docstring"""






       return self._unicode_vocab_size

 def        a__				(       self      :						List[str]		,							A_      :						str						)     ->			List[str]:

       """simple docstring"""






       return list(A_						)

 def        a__				(       self      :						int		,							A_      :						str						)     ->			int:

       """simple docstring"""






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

 def        a__				(       self      :						List[str]		,							A_      :						int						)     ->			str:

       """simple docstring"""






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

 def        a__				(       self      :						Tuple		,							A_      :						List[Any]						)     ->			Any:

       """simple docstring"""






       return "".join(A_						)

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

       """simple docstring"""






       lowerCamelCase_	  =					[self.sep_token_id]
       lowerCamelCase_	  =					[self.cls_token_id]

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

 def        a__				(       self      :						Dict		,							A_      :						List[int]		,							A_      :						Optional[List[int]] = None		,							A_      :						bool = False						)     ->			List[int]:

       """simple docstring"""






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

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

 def        a__				(       self      :						Dict		,							A_      :						List[int]		,							A_      :						Optional[List[int]] = None						)     ->			List[int]:

       """simple docstring"""






       lowerCamelCase_	  =					[self.sep_token_id]
       lowerCamelCase_	  =					[self.cls_token_id]

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





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

       """simple docstring"""






       return ()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase       :	Dict									=     {"configuration_vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig", "ViTOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Optional[int]									=     ["ViTFeatureExtractor"]
 lowerCamelCase       :	Dict									=     ["ViTImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	int									=     [
     "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ViTForImageClassification",
     "ViTForMaskedImageModeling",
     "ViTModel",
     "ViTPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Tuple									=     [
     "TFViTForImageClassification",
     "TFViTModel",
     "TFViTPreTrainedModel",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Dict									=     [
     "FlaxViTForImageClassification",
     "FlaxViTModel",
     "FlaxViTPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_vit import ViTFeatureExtractor
  from .image_processing_vit import ViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vit import (
      VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      ViTForImageClassification,
      ViTForMaskedImageModeling,
      ViTModel,
      ViTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
 import sys

 lowerCamelCase       :	Any									=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



