






import warnings

from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum

from ...processing_utils import ProcessorMixin


if is_torch_available():
						import torch


class 							__UpperCamelCase     (  _lowerCAmelCase ):
	__snake_case						:Dict =							'char'
	__snake_case						:List[Any] =							'bpe'
	__snake_case						:int =							'wp'

__UpperCamelCase   :   List[str]      =    (DecodeType.CHARACTER, DecodeType.BPE, DecodeType.WORDPIECE)


class 							__UpperCamelCase     (  _lowerCAmelCase ):
	__snake_case						:int =							['image_processor', 'char_tokenizer']
	__snake_case						:Dict =							'ViTImageProcessor'
	__snake_case						:List[str] =							'MgpstrTokenizer'







	def __init__(	self   :				Optional[int]							,					_lowerCAmelCase   :				List[str]=None							,					_lowerCAmelCase   :				int=None							,					**_lowerCAmelCase   :				Dict      )		->			Dict:
		"""simple docstring"""







		__lowercase   							=	None
		if "feature_extractor" in kwargs:
			warnings.warn(
			    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
			    """ instead."""							,					_lowerCAmelCase							,					)
			__lowercase   							=	kwargs.pop("""feature_extractor"""      )

		__lowercase   							=	image_processor if image_processor is not None else feature_extractor
		if image_processor is None:
			raise ValueError("""You need to specify an `image_processor`."""      )
		if tokenizer is None:
			raise ValueError("""You need to specify a `tokenizer`."""      )

		__lowercase   							=	tokenizer
		__lowercase   							=	AutoTokenizer.from_pretrained("""gpt2"""      )
		__lowercase   							=	AutoTokenizer.from_pretrained("""bert-base-uncased"""      )

		super().__init__(_lowerCAmelCase							,					_lowerCAmelCase      )







	def __call__(	self   :				str							,					_lowerCAmelCase   :				Optional[int]=None							,					_lowerCAmelCase   :				Optional[Any]=None							,					_lowerCAmelCase   :				List[str]=None							,					**_lowerCAmelCase   :				List[str]      )		->			Dict:
		"""simple docstring"""







		if images is None and text is None:
			raise ValueError("""You need to specify either an `images` or `text` input to process."""      )

		if images is not None:
			__lowercase   							=	self.image_processor(_lowerCAmelCase							,					return_tensors=_lowerCAmelCase							,					**_lowerCAmelCase      )
		if text is not None:
			__lowercase   							=	self.char_tokenizer(_lowerCAmelCase							,					return_tensors=_lowerCAmelCase							,					**_lowerCAmelCase      )

		if text is None:
			return inputs
		elif images is None:
			return encodings
		else:
			__lowercase   							=	encodings["""input_ids"""]
			return inputs







	def 			_a (	self   :				int							,					_lowerCAmelCase   :				int      )		->			List[Any]:
		"""simple docstring"""







		__lowercase							,    __lowercase							,    __lowercase   							=	sequences
		__lowercase   							=	char_preds.size(0      )

		__lowercase							,    __lowercase   							=	self._decode_helper(_lowerCAmelCase							,					"""char"""      )
		__lowercase							,    __lowercase   							=	self._decode_helper(_lowerCAmelCase							,					"""bpe"""      )
		__lowercase							,    __lowercase   							=	self._decode_helper(_lowerCAmelCase							,					"""wp"""      )

		__lowercase   							=	[]
		__lowercase   							=	[]
		for i in range(_lowerCAmelCase      ):
			__lowercase   							=	[char_scores[i], bpe_scores[i], wp_scores[i]]
			__lowercase   							=	[char_strs[i], bpe_strs[i], wp_strs[i]]
			__lowercase   							=	scores.index(max(_lowerCAmelCase      )      )
			final_strs.append(strs[max_score_index]      )
			final_scores.append(scores[max_score_index]      )

		__lowercase   							=	{}
		__lowercase   							=	final_strs
		__lowercase   							=	final_scores
		__lowercase   							=	char_strs
		__lowercase   							=	bpe_strs
		__lowercase   							=	wp_strs
		return out







	def 			_a (	self   :				str							,					_lowerCAmelCase   :				List[str]							,					_lowerCAmelCase   :				Union[str, Any]      )		->			Tuple:
		"""simple docstring"""







		if format == DecodeType.CHARACTER:
			__lowercase   							=	self.char_decode
			__lowercase   							=	1
			__lowercase   							=	"""[s]"""
		elif format == DecodeType.BPE:
			__lowercase   							=	self.bpe_decode
			__lowercase   							=	2
			__lowercase   							=	"""#"""
		elif format == DecodeType.WORDPIECE:
			__lowercase   							=	self.wp_decode
			__lowercase   							=	102
			__lowercase   							=	"""[SEP]"""
		else:
			raise ValueError(F'Format {format} is not supported.'      )

		__lowercase							,    __lowercase   							=	[], []
		__lowercase   							=	pred_logits.size(0      )
		__lowercase   							=	pred_logits.size(1      )
		__lowercase							,    __lowercase   							=	pred_logits.topk(1							,					dim=-1							,					largest=_lowerCAmelCase							,					sorted=_lowerCAmelCase      )
		__lowercase   							=	preds_index.view(-1							,					_lowerCAmelCase      )[:, 1:]
		__lowercase   							=	decoder(_lowerCAmelCase      )
		__lowercase							,    __lowercase   							=	torch.nn.functional.softmax(_lowerCAmelCase							,					dim=2      ).max(dim=2      )
		__lowercase   							=	preds_max_prob[:, 1:]

		for index in range(_lowerCAmelCase      ):
			__lowercase   							=	preds_str[index].find(_lowerCAmelCase      )
			__lowercase   							=	preds_str[index][:pred_eos]
			__lowercase   							=	preds_index[index].cpu().tolist()
			__lowercase   							=	pred_index.index(_lowerCAmelCase      ) if eos_token in pred_index else -1
			__lowercase   							=	preds_max_prob[index][: pred_eos_index + 1]
			__lowercase   							=	pred_max_prob.cumprod(dim=0      )[-1] if pred_max_prob.nelement() != 0 else 0.0
			dec_strs.append(_lowerCAmelCase      )
			conf_scores.append(_lowerCAmelCase      )

		return dec_strs, conf_scores







	def 			_a (	self   :				Optional[int]							,					_lowerCAmelCase   :				Any      )		->			str:
		"""simple docstring"""







		__lowercase   							=	[seq.replace(""" """							,					""""""      ) for seq in self.char_tokenizer.batch_decode(_lowerCAmelCase      )]
		return decode_strs







	def 			_a (	self   :				Union[str, Any]							,					_lowerCAmelCase   :				List[Any]      )		->			int:
		"""simple docstring"""







		return self.bpe_tokenizer.batch_decode(_lowerCAmelCase      )







	def 			_a (	self   :				str							,					_lowerCAmelCase   :				int      )		->			Optional[Any]:
		"""simple docstring"""







		__lowercase   							=	[seq.replace(""" """							,					""""""      ) for seq in self.wp_tokenizer.batch_decode(_lowerCAmelCase      )]
		return decode_strs








class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     Dict					,      __lowerCamelCase							:     int					,      __lowerCamelCase							:     Optional[Any]=None					,      __lowerCamelCase							:     Optional[Any]=None   )       -> Dict:

			'''simple docstring'''




			__lowercase											=     data
			__lowercase											=     previous
			__lowercase											=     next_node




	def __str__(						self							:     int   )       -> str:

			'''simple docstring'''




			return F"{self.data}"




	def    UpperCAmelCase			(						self							:     int   )       -> int:

			'''simple docstring'''




			return self.data




	def    UpperCAmelCase			(						self							:     Tuple   )       -> Optional[int]:

			'''simple docstring'''




			return self.next






	def    UpperCAmelCase			(						self							:     Optional[int]   )       -> Any:

			'''simple docstring'''




			return self.previous





class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     Tuple					,      __lowerCamelCase							:     Optional[Any]   )       -> str:

			'''simple docstring'''




			__lowercase											=     head




	def __iter__(						self							:     Union[str, Any]   )       -> List[Any]:

			'''simple docstring'''




			return self






	def    UpperCAmelCase			(						self							:     str   )       -> str:

			'''simple docstring'''




			if not self.current:
					raise StopIteration
			else:
					__lowercase											=     self.current.get_data()
					__lowercase											=     self.current.get_next()
					return value





class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     List[str]   )       -> Any:

			'''simple docstring'''




			__lowercase											=     None  # First node in list
			__lowercase											=     None  # Last node in list




	def __str__(						self							:     int   )       -> Any:

			'''simple docstring'''




			__lowercase											=     self.head
			__lowercase											=     []
			while current is not None:
					nodes.append(current.get_data()   )
					__lowercase											=     current.get_next()
			return " ".join(str(__lowerCamelCase   ) for node in nodes   )




	def __contains__(						self							:     Tuple					,      __lowerCamelCase							:     int   )       -> List[Any]:

			'''simple docstring'''




			__lowercase											=     self.head
			while current:
					if current.get_data() == value:
							return True
					__lowercase											=     current.get_next()
			return False




	def __iter__(						self							:     Optional[int]   )       -> List[str]:

			'''simple docstring'''




			return LinkedListIterator(self.head   )




	def    UpperCAmelCase			(						self							:     Any   )       -> str:

			'''simple docstring'''




			if self.head:
					return self.head.get_data()
			return None




	def    UpperCAmelCase			(						self							:     str   )       -> Union[str, Any]:

			'''simple docstring'''




			if self.tail:
					return self.tail.get_data()
			return None




	def    UpperCAmelCase			(						self							:     str					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if self.head is None:
					__lowercase											=     node
					__lowercase											=     node
			else:
					self.insert_before_node(self.head					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Dict					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if self.head is None:
					self.set_head(__lowerCamelCase   )
			else:
					self.insert_after_node(self.tail					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     int   )       -> None:

			'''simple docstring'''




			__lowercase											=     Node(__lowerCamelCase   )
			if self.head is None:
					self.set_head(__lowerCamelCase   )
			else:
					self.set_tail(__lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     int					,      __lowerCamelCase							:     Node					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			__lowercase											=     node
			__lowercase											=     node.previous

			if node.get_previous() is None:
					__lowercase											=     node_to_insert
			else:
					__lowercase											=     node_to_insert

			__lowercase											=     node_to_insert




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     Node					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			__lowercase											=     node
			__lowercase											=     node.next

			if node.get_next() is None:
					__lowercase											=     node_to_insert
			else:
					__lowercase											=     node_to_insert

			__lowercase											=     node_to_insert




	def    UpperCAmelCase			(						self							:     List[str]					,      __lowerCamelCase							:     int					,      __lowerCamelCase							:     int   )       -> None:

			'''simple docstring'''




			__lowercase											=     1
			__lowercase											=     Node(__lowerCamelCase   )
			__lowercase											=     self.head
			while node:
					if current_position == position:
							self.insert_before_node(__lowerCamelCase					,      __lowerCamelCase   )
							return
					current_position += 1
					__lowercase											=     node.next
			self.insert_after_node(self.tail					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     int   )       -> Node:

			'''simple docstring'''




			__lowercase											=     self.head
			while node:
					if node.get_data() == item:
							return node
					__lowercase											=     node.get_next()
			raise Exception('Node not found'   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     List[str]   )       -> Dict:

			'''simple docstring'''




			if (node := self.get_node(__lowerCamelCase   )) is not None:
					if node == self.head:
							__lowercase											=     self.head.get_next()

					if node == self.tail:
							__lowercase											=     self.tail.get_previous()

					self.remove_node_pointers(__lowerCamelCase   )




	@staticmethod
	def    UpperCAmelCase			(						__lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if node.get_next():
					__lowercase											=     node.previous

			if node.get_previous():
					__lowercase											=     node.next

			__lowercase											=     None
			__lowercase											=     None






	def    UpperCAmelCase			(						self							:     str   )       -> List[str]:

			'''simple docstring'''




			return self.head is None





def  SCREAMING_SNAKE_CASE				(      )		->    None:
		pass


if __name__ == "__main__":
		import doctest

		doctest.testmod()




