



"""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     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE  ):
   A__		:	str           =  ['''image_processor''', '''tokenizer''']
   A__		:	Tuple           =  '''BlipImageProcessor'''
   A__		:	str           =  ('''BertTokenizer''', '''BertTokenizerFast''')



   def __init__(       self    :	Any							,       __lowerCamelCase    :	List[Any]							,       __lowerCamelCase    :	Any				):



     """simple docstring"""
     _snake_case   	=      False
     super().__init__(__lowerCamelCase							,       __lowerCamelCase				)
     _snake_case   	=      self.image_processor



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



     """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:
       _snake_case   	=      self.tokenizer
       _snake_case   	=      self.tokenizer(
           text=__lowerCamelCase							,       add_special_tokens=__lowerCamelCase							,       padding=__lowerCamelCase							,       truncation=__lowerCamelCase							,       max_length=__lowerCamelCase							,       stride=__lowerCamelCase							,       pad_to_multiple_of=__lowerCamelCase							,       return_attention_mask=__lowerCamelCase							,       return_overflowing_tokens=__lowerCamelCase							,       return_special_tokens_mask=__lowerCamelCase							,       return_offsets_mapping=__lowerCamelCase							,       return_token_type_ids=__lowerCamelCase							,       return_length=__lowerCamelCase							,       verbose=__lowerCamelCase							,       return_tensors=__lowerCamelCase							,       **__lowerCamelCase							,       )
       return text_encoding

     # add pixel_values
     _snake_case   	=      self.image_processor(__lowerCamelCase							,       return_tensors=__lowerCamelCase				)

     if text is not None:
       _snake_case   	=      self.tokenizer(
           text=__lowerCamelCase							,       add_special_tokens=__lowerCamelCase							,       padding=__lowerCamelCase							,       truncation=__lowerCamelCase							,       max_length=__lowerCamelCase							,       stride=__lowerCamelCase							,       pad_to_multiple_of=__lowerCamelCase							,       return_attention_mask=__lowerCamelCase							,       return_overflowing_tokens=__lowerCamelCase							,       return_special_tokens_mask=__lowerCamelCase							,       return_offsets_mapping=__lowerCamelCase							,       return_token_type_ids=__lowerCamelCase							,       return_length=__lowerCamelCase							,       verbose=__lowerCamelCase							,       return_tensors=__lowerCamelCase							,       **__lowerCamelCase							,       )
     else:
       _snake_case   	=      None

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

     return encoding_image_processor



   def    __UpperCAmelCase    (       self    :	Dict							,       *__lowerCamelCase    :	List[str]							,       **__lowerCamelCase    :	Optional[Any]				):



     """simple docstring"""
     return self.tokenizer.batch_decode(*__lowerCamelCase							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	List[str]							,       *__lowerCamelCase    :	Optional[Any]							,       **__lowerCamelCase    :	Any				):



     """simple docstring"""
     return self.tokenizer.decode(*__lowerCamelCase							,       **__lowerCamelCase				)





   @property
   def    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     _snake_case   	=      self.tokenizer.model_input_names
     _snake_case   	=      self.image_processor.model_input_names
     return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)










"""simple docstring"""






from copy import deepcopy



class     UpperCAmelCase    :



   def __init__(       self    :	Optional[Any]							,       __lowerCamelCase    :	list[int] | None = None							,       __lowerCamelCase    :	int | None = None				):



     """simple docstring"""

     if arr is None and size is not None:
       _snake_case   	=      size
       _snake_case   	=      [0] * size
     elif arr is not None:
       self.init(__lowerCamelCase				)
     else:
       raise ValueError('''Either arr or size must be specified'''				)



   def    __UpperCAmelCase    (       self    :	Any							,       __lowerCamelCase    :	list[int]				):



     """simple docstring"""
     _snake_case   	=      len(__lowerCamelCase				)
     _snake_case   	=      deepcopy(__lowerCamelCase				)
     for i in range(1							,       self.size				):
       _snake_case   	=      self.next_(__lowerCamelCase				)
       if j < self.size:
         self.tree[j] += self.tree[i]



   def    __UpperCAmelCase    (       self    :	Union[str, Any]				):



     """simple docstring"""
     _snake_case   	=      self.tree[:]
     for i in range(self.size - 1							,       0							,       -1				):
       _snake_case   	=      self.next_(__lowerCamelCase				)
       if j < self.size:
         arr[j] -= arr[i]
     return arr



   @staticmethod
   def    __UpperCAmelCase    (       __lowerCamelCase    :	int				):



     """simple docstring"""
     return index + (index & (-index))



   @staticmethod
   def    __UpperCAmelCase    (       __lowerCamelCase    :	int				):



     """simple docstring"""
     return index - (index & (-index))



   def    __UpperCAmelCase    (       self    :	Dict							,       __lowerCamelCase    :	int							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     if index == 0:
       self.tree[0] += value
       return
     while index < self.size:
       self.tree[index] += value
       _snake_case   	=      self.next_(__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	List[str]							,       __lowerCamelCase    :	int							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     self.add(__lowerCamelCase							,       value - self.get(__lowerCamelCase				)				)



   def    __UpperCAmelCase    (       self    :	Optional[Any]							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     if right == 0:
       return 0
     _snake_case   	=      self.tree[0]
     right -= 1  # make right inclusive
     while right > 0:
       result += self.tree[right]
       _snake_case   	=      self.prev(__lowerCamelCase				)
     return result



   def    __UpperCAmelCase    (       self    :	str							,       __lowerCamelCase    :	int							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     return self.prefix(__lowerCamelCase				) - self.prefix(__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	List[str]							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     return self.query(__lowerCamelCase							,       index + 1				)





   def    __UpperCAmelCase    (       self    :	Optional[int]							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     value -= self.tree[0]
     if value < 0:
       return -1

     _snake_case   	=      1  # Largest power of 2 <= size
     while j * 2 < self.size:
       j *= 2

     _snake_case   	=      0

     while j > 0:
       if i + j < self.size and self.tree[i + j] <= value:
         value -= self.tree[i + j]
         i += j
       j //= 2
     return i


if __name__ == "__main__":
     import doctest

     doctest.testmod()





