




from typing import Dict, List, Optional

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


SCREAMING_SNAKE_CASE__     :     Dict		    =       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__     :     Union[str, Any]		    =       {
    "nielsr/canine-s": 20_48,
}

# Unicode defines 1,114,112 total “codepoints”
SCREAMING_SNAKE_CASE__     :     Optional[Any]		    =       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
SCREAMING_SNAKE_CASE__     :     Tuple		    =       0

SCREAMING_SNAKE_CASE__     :     Tuple		    =       0xE000
SCREAMING_SNAKE_CASE__     :     Tuple		    =       0xE001
SCREAMING_SNAKE_CASE__     :     Tuple		    =       0xE002
SCREAMING_SNAKE_CASE__     :     Union[str, Any]		    =       0xE003
SCREAMING_SNAKE_CASE__     :     Optional[Any]		    =       0xE004

# 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_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





	def __init__(							self      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=chr(SCREAMING_SNAKE_CASE      )      ,     SCREAMING_SNAKE_CASE=False      ,     SCREAMING_SNAKE_CASE=2048      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					Dict:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else bos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else eos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else sep_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else cls_token
				SCREAMING_SNAKE_CASE_								=						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
				SCREAMING_SNAKE_CASE_								=						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__(
				    bos_token=SCREAMING_SNAKE_CASE      ,     eos_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      ,     model_max_length=SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      ,     )

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

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

				SCREAMING_SNAKE_CASE_								=						UNICODE_VOCAB_SIZE
				SCREAMING_SNAKE_CASE_								=						len(self._special_codepoints      )





	@property
	def 						A_(							self      )  ->					int:




				"""simple docstring"""



				return self._unicode_vocab_size





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




				"""simple docstring"""



				return list(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					int:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					str:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					str:




				"""simple docstring"""



				return "".join(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					List[int]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						[self.sep_token_id]
				SCREAMING_SNAKE_CASE_								=						[self.cls_token_id]

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = False      )  ->					List[int]:




				"""simple docstring"""



				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      )

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					List[int]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						[self.sep_token_id]
				SCREAMING_SNAKE_CASE_								=						[self.cls_token_id]

				SCREAMING_SNAKE_CASE_								=						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      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					Dict:




				"""simple docstring"""



				return ()






import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


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



class       a_       (     SCREAMING_SNAKE_CASE__     ):





	def __init__(							self      ,     *SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				warnings.warn(
				    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use PerceiverImageProcessor instead.'      ,     SCREAMING_SNAKE_CASE      ,     )
				super().__init__(*SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )
