



'''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 							a__(					_a	):
    lowercase__ =    ["""image_processor""", """tokenizer"""]
    lowercase__ =    """BlipImageProcessor"""
    lowercase__ =    ("""BertTokenizer""", """BertTokenizerFast""")







    def __init__(      self :  Optional[int]						,			__snake_case :  Tuple						,			__snake_case :  Union[str, Any]	):
      a						:					Optional[int]        =     False
      super().__init__(UpperCamelCase__						,			UpperCamelCase__	)
      a						:					List[str]        =     self.image_processor







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







      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:
        a						:					Optional[int]        =     self.tokenizer
        a						:					List[Any]        =     self.tokenizer(
            text=UpperCamelCase__						,			add_special_tokens=UpperCamelCase__						,			padding=UpperCamelCase__						,			truncation=UpperCamelCase__						,			max_length=UpperCamelCase__						,			stride=UpperCamelCase__						,			pad_to_multiple_of=UpperCamelCase__						,			return_attention_mask=UpperCamelCase__						,			return_overflowing_tokens=UpperCamelCase__						,			return_special_tokens_mask=UpperCamelCase__						,			return_offsets_mapping=UpperCamelCase__						,			return_token_type_ids=UpperCamelCase__						,			return_length=UpperCamelCase__						,			verbose=UpperCamelCase__						,			return_tensors=UpperCamelCase__						,			**UpperCamelCase__						,			)
        return text_encoding

      # add pixel_values
      a						:					List[str]        =     self.image_processor(UpperCamelCase__						,			return_tensors=UpperCamelCase__	)

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

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

      return encoding_image_processor







    def 			lowercase_       (      self :  Tuple						,			*__snake_case :  Tuple						,			**__snake_case :  Any	):
      return self.tokenizer.batch_decode(*UpperCamelCase__						,			**UpperCamelCase__	)







    def 			lowercase_       (      self :  Union[str, Any]						,			*__snake_case :  Tuple						,			**__snake_case :  Dict	):
      return self.tokenizer.decode(*UpperCamelCase__						,			**UpperCamelCase__	)







    @property
    def 			lowercase_       (      self :  str	):
      a						:					Union[str, Any]        =     self.tokenizer.model_input_names
      a						:					List[Any]        =     self.image_processor.model_input_names
      return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)




'''simple docstring'''


def 				__lowerCamelCase				(   A__    )       ->	list:






   """simple docstring"""
   UpperCamelCase					=  len(A__    )
   for i in range(1    ,						A__    ):
      UpperCamelCase					=  collection[i]
      UpperCamelCase					=  0
      UpperCamelCase					=  i - 1

      while low <= high:
         UpperCamelCase					=  (low + high) // 2
         if val < collection[mid]:
            UpperCamelCase					=  mid - 1
         else:
            UpperCamelCase					=  mid + 1
      for j in range(A__    ,						A__    ,						-1    ):
         UpperCamelCase					=  collection[j - 1]
      UpperCamelCase					=  val
   return collection


if __name__ == "__main__":
   _lowerCamelCase	:       int      	=	input("Enter numbers separated by a comma:\n").strip()
   _lowerCamelCase	:       Union[str, Any]      	=	[int(item) for item in user_input.split(",")]
   print(binary_insertion_sort(unsorted))

