





'''simple docstring'''




from typing import Dict, List, Optional

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


a__					:			Optional[int]          =     logging.get_logger(__name__)


a__					:			Optional[Any]          =     {
    '''nielsr/canine-s''': 2048,
}

# Unicode defines 1,114,112 total “codepoints”
a__					:			List[Any]          =     111_4112

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

a__					:			Optional[Any]          =     0XE000
a__					:			int          =     0XE001
a__					:			str          =     0XE002
a__					:			Dict          =     0XE003
a__					:			List[Any]          =     0XE004

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






class 				__snake_case     (					__magic_name__							):
	__lowerCAmelCase       						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





	def __init__(		self      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=chr(UpperCamelCase_		)      ,       UpperCamelCase_=False      ,       UpperCamelCase_=2048      ,       **UpperCamelCase_      ,       )      ->		int:
		snake_case__	       =   AddedToken(UpperCamelCase_      ,       lstrip=UpperCamelCase_      ,       rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_      ,       UpperCamelCase_		) else bos_token
		snake_case__	       =   AddedToken(UpperCamelCase_      ,       lstrip=UpperCamelCase_      ,       rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_      ,       UpperCamelCase_		) else eos_token
		snake_case__	       =   AddedToken(UpperCamelCase_      ,       lstrip=UpperCamelCase_      ,       rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_      ,       UpperCamelCase_		) else sep_token
		snake_case__	       =   AddedToken(UpperCamelCase_      ,       lstrip=UpperCamelCase_      ,       rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_      ,       UpperCamelCase_		) else cls_token
		snake_case__	       =   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
		snake_case__	       =   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.
		snake_case__	       =   {}
		for codepoint, name in SPECIAL_CODEPOINTS.items():
			snake_case__	       =   codepoint

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

		snake_case__	       =   UNICODE_VOCAB_SIZE
		snake_case__	       =   len(self._special_codepoints		)





	@property
	def   _snake_case   (		self		)      ->		int:
		return self._unicode_vocab_size





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		return list(UpperCamelCase_		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		int:
		try:
			return ord(UpperCamelCase_		)
		except TypeError:
			raise ValueError(F'''invalid token: \'{token}\''''		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		str:
		try:
			if index in SPECIAL_CODEPOINTS:
				return SPECIAL_CODEPOINTS[index]
			return chr(UpperCamelCase_		)
		except TypeError:
			raise ValueError(F'''invalid id: {index}'''		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		return "".join(UpperCamelCase_		)





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[int]:
		snake_case__	       =   [self.sep_token_id]
		snake_case__	       =   [self.cls_token_id]

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





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None      ,       UpperCamelCase_ = False		)      ->		List[int]:
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=UpperCamelCase_      ,       token_ids_a=UpperCamelCase_      ,       already_has_special_tokens=UpperCamelCase_		)

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





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[int]:
		snake_case__	       =   [self.sep_token_id]
		snake_case__	       =   [self.cls_token_id]

		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   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		Dict:
		return ()










'''simple docstring'''




import warnings

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


a__					:			int          =     logging.get_logger(__name__)






class 				__snake_case     (					__magic_name__							):





	def __init__(		self      ,       *UpperCamelCase_      ,       **UpperCamelCase_		)      ->		None:
		warnings.warn(
		    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
		    ' Please use PerceiverImageProcessor instead.'      ,       UpperCamelCase_      ,       )
		super().__init__(*UpperCamelCase_      ,       **UpperCamelCase_		)



