

"""simple docstring"""






from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType







class       snake_case__  ( lowerCAmelCase_     ):
			SCREAMING_SNAKE_CASE__     				=						['''image_processor''', '''tokenizer''']
			SCREAMING_SNAKE_CASE__     				=						'''BlipImageProcessor'''
			SCREAMING_SNAKE_CASE__     				=						'''AutoTokenizer'''







			def __init__(			self			: int			,  lowercase			: int			,  lowercase			: Dict  ):





								'''simple docstring'''



								UpperCAmelCase			:   Union[str, Any]      =				False
								super().__init__(lowercase			,  lowercase  )
								UpperCAmelCase			:   Optional[Any]      =				self.image_processor







			def __call__(			self			: Any			,  lowercase			: ImageInput = None			,  lowercase			: Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None			,  lowercase			: bool = True			,  lowercase			: Union[bool, str, PaddingStrategy] = False			,  lowercase			: Union[bool, str, TruncationStrategy] = None			,  lowercase			: Optional[int] = None			,  lowercase			: int = 0			,  lowercase			: Optional[int] = None			,  lowercase			: Optional[bool] = None			,  lowercase			: bool = False			,  lowercase			: bool = False			,  lowercase			: bool = False			,  lowercase			: bool = False			,  lowercase			: bool = False			,  lowercase			: bool = True			,  lowercase			: Optional[Union[str, TensorType]] = None			,  **lowercase			: List[Any]			,  ):





								'''simple docstring'''



								if images is None and text is None:
													raise ValueError("You have to specify either images or text."  )

								# Get only text
								if images is None:
													UpperCAmelCase			:   str      =				self.tokenizer
													UpperCAmelCase			:   Optional[Any]      =				self.tokenizer(
													    text=lowercase			,  add_special_tokens=lowercase			,  padding=lowercase			,  truncation=lowercase			,  max_length=lowercase			,  stride=lowercase			,  pad_to_multiple_of=lowercase			,  return_attention_mask=lowercase			,  return_overflowing_tokens=lowercase			,  return_special_tokens_mask=lowercase			,  return_offsets_mapping=lowercase			,  return_token_type_ids=lowercase			,  return_length=lowercase			,  verbose=lowercase			,  return_tensors=lowercase			,  **lowercase			,  )
													return text_encoding

								# add pixel_values
								UpperCAmelCase			:   List[Any]      =				self.image_processor(lowercase			,  return_tensors=lowercase  )

								if text is not None:
													UpperCAmelCase			:   Tuple      =				self.tokenizer(
													    text=lowercase			,  add_special_tokens=lowercase			,  padding=lowercase			,  truncation=lowercase			,  max_length=lowercase			,  stride=lowercase			,  pad_to_multiple_of=lowercase			,  return_attention_mask=lowercase			,  return_overflowing_tokens=lowercase			,  return_special_tokens_mask=lowercase			,  return_offsets_mapping=lowercase			,  return_token_type_ids=lowercase			,  return_length=lowercase			,  verbose=lowercase			,  return_tensors=lowercase			,  **lowercase			,  )
								else:
													UpperCAmelCase			:   Union[str, Any]      =				None

								if text_encoding is not None:
													encoding_image_processor.update(lowercase  )

								return encoding_image_processor







			def 			__lowerCAmelCase				(			self			: List[str]			,  *lowercase			: Dict			,  **lowercase			: Any  ):





								'''simple docstring'''



								return self.tokenizer.batch_decode(*lowercase			,  **lowercase  )







			def 			__lowerCAmelCase				(			self			: Optional[Any]			,  *lowercase			: int			,  **lowercase			: Optional[Any]  ):





								'''simple docstring'''



								return self.tokenizer.decode(*lowercase			,  **lowercase  )







			@property
			# Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
			def 			__lowerCAmelCase				(			self			: Any  ):





								'''simple docstring'''



								UpperCAmelCase			:   Optional[Any]      =				self.tokenizer.model_input_names
								UpperCAmelCase			:   Optional[int]      =				self.image_processor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )





"""simple docstring"""






def   lowercase_	(    _lowercase       :		list							,      _lowercase       :		int							,      _lowercase       :		int = 0							,      _lowercase       :		int = 0	):




					'''simple docstring'''






					UpperCAmelCase			:   Tuple      =				right or len(_lowercase	) - 1
					if left > right:
										return -1
					elif list_data[left] == key:
										return left
					elif list_data[right] == key:
										return right
					else:
										return search(_lowercase							,      _lowercase							,      left + 1							,      right - 1	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()


