
import warnings
from typing import Dict, List, Optional, Tuple

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


UpperCAmelCase       =					logging.get_logger(__name__)







class 			A_  (     __lowerCamelCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	List[Any]									=			["""input_ids""", """attention_mask"""]





	def __init__(			self						,       snake_case="</s>"						,       snake_case="<unk>"						,       snake_case="<pad>"						,       snake_case=125						,       snake_case=None						,       **snake_case						,       ):
		# Add extra_ids to the special token list
		if extra_ids > 0 and additional_special_tokens is None:
			lowercase	    =       [F'''<extra_id_{i}>''' for i in range(snake_case			)]
		elif extra_ids > 0 and additional_special_tokens is not None:
			# Check that we have the right number of extra_id special tokens
			lowercase	    =       len(set(filter(lambda snake_case			: bool('extra_id' in str(snake_case			)			)						,       snake_case			)			)			)
			if extra_tokens != extra_ids:
				raise ValueError(
				    F'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
				    ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
				    ' extra_ids tokens'			)

		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else pad_token
		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else eos_token
		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else unk_token

		super().__init__(
		    eos_token=snake_case						,       unk_token=snake_case						,       pad_token=snake_case						,       extra_ids=snake_case						,       additional_special_tokens=snake_case						,       **snake_case						,       )

		lowercase	    =       extra_ids

		lowercase	    =       2**8  # utf is 8 bits

		# define special tokens dict
		lowercase	    =       {
		    self.pad_token: 0,
		    self.eos_token: 1,
		    self.unk_token: 2,
		}
		lowercase	    =       len(self.special_tokens_encoder			)
		lowercase	    =       len(snake_case			)
		for i, token in enumerate(snake_case			):
			lowercase	    =       self.vocab_size + i - n
		lowercase	    =       {v: k for k, v in self.special_tokens_encoder.items()}





	@property
	def       SCREAMING_SNAKE_CASE__		(			self			):
		return self._utf_vocab_size + self._num_special_tokens + self._extra_ids





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None						,       snake_case = False			):
		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			)

		# normal case: some special tokens
		if token_ids_a is None:
			return ([0] * len(snake_case			)) + [1]
		return ([0] * len(snake_case			)) + [1] + ([0] * len(snake_case			)) + [1]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if len(snake_case			) > 0 and token_ids[-1] == self.eos_token_id:
			warnings.warn(
			    F'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
			    ' eos tokens being added.'			)
			return token_ids
		else:
			return token_ids + [self.eos_token_id]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		lowercase	    =       [self.eos_token_id]

		if token_ids_a is None:
			return len(token_ids_a + eos			) * [0]
		return len(token_ids_a + eos + token_ids_a + eos			) * [0]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		lowercase	    =       self._add_eos_if_not_present(snake_case			)
		if token_ids_a is None:
			return token_ids_a
		else:
			lowercase	    =       self._add_eos_if_not_present(snake_case			)
			return token_ids_a + token_ids_a





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       [chr(snake_case			) for i in text.encode('utf-8'			)]
		return tokens





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if token in self.special_tokens_encoder:
			lowercase	    =       self.special_tokens_encoder[token]
		elif token in self.added_tokens_encoder:
			lowercase	    =       self.added_tokens_encoder[token]
		elif len(snake_case			) != 1:
			lowercase	    =       self.unk_token_id
		else:
			lowercase	    =       ord(snake_case			) + self._num_special_tokens
		return token_id





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if index in self.special_tokens_decoder:
			lowercase	    =       self.special_tokens_decoder[index]
		else:
			lowercase	    =       chr(index - self._num_special_tokens			)
		return token





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       B''
		for token in tokens:
			if token in self.special_tokens_decoder:
				lowercase	    =       self.special_tokens_decoder[token].encode('utf-8'			)
			elif token in self.added_tokens_decoder:
				lowercase	    =       self.special_tokens_decoder[token].encode('utf-8'			)
			elif token in self.special_tokens_encoder:
				lowercase	    =       token.encode('utf-8'			)
			elif token in self.added_tokens_encoder:
				lowercase	    =       token.encode('utf-8'			)
			else:
				lowercase	    =       bytes([ord(snake_case			)]			)
			bstring += tok_string
		lowercase	    =       bstring.decode('utf-8'						,       errors='ignore'			)
		return string





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		return ()








import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


UpperCAmelCase_           =	logging.get_logger(__name__)




class 			__UpperCamelCase    (							A__    ):





     def __init__(     self				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        warnings.warn(
            '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use GLPNImageProcessor instead.'''				,							_UpperCamelCase				,							)
        super().__init__(*_UpperCamelCase				,							**_UpperCamelCase					)