



"""simple docstring"""







import warnings
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_    ):







		'''simple docstring'''





		lowerCAmelCase			:					int   	=				["image_processor", "tokenizer"]
		lowerCAmelCase			:					Optional[Any]   	=				"FlavaImageProcessor"
		lowerCAmelCase			:					Dict   	=				("BertTokenizer", "BertTokenizerFast")







		def __init__(	self						:  Union[str, Any]			,_snake_case						:  List[str]=None			,_snake_case						:  List[str]=None			,**_snake_case						:  Union[str, Any]						)					->		int:






				"""simple docstring"""



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

				lowercase__   :    List[Any]				=			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`.'''						)

				super().__init__(_snake_case			,_snake_case						)
				lowercase__   :    str				=			self.image_processor







		def __call__(	self						:  Tuple			,_snake_case						:  Optional[ImageInput] = None			,_snake_case						:  Optional[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] = False			,_snake_case						:  Optional[int] = None			,_snake_case						:  int = 0			,_snake_case						:  Optional[int] = None			,_snake_case						:  Optional[bool] = None			,_snake_case						:  Optional[bool] = None			,_snake_case						:  Optional[bool] = 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 = True			,_snake_case						:  Optional[Union[str, TensorType]] = None			,**_snake_case						:  Any			,)					->		Tuple:






				"""simple docstring"""



				if text is None and images is None:
						raise ValueError('''You have to specify either text or images. Both cannot be none.'''						)

				if text is not None:
						lowercase__   :    List[str]				=			self.tokenizer(
						    text=_snake_case			,add_special_tokens=_snake_case			,padding=_snake_case			,truncation=_snake_case			,max_length=_snake_case			,stride=_snake_case			,pad_to_multiple_of=_snake_case			,return_token_type_ids=_snake_case			,return_attention_mask=_snake_case			,return_overflowing_tokens=_snake_case			,return_special_tokens_mask=_snake_case			,return_offsets_mapping=_snake_case			,return_length=_snake_case			,verbose=_snake_case			,return_tensors=_snake_case			,**_snake_case			,)
				if images is not None:
						lowercase__   :    List[Any]				=			self.image_processor(
						    _snake_case			,return_image_mask=_snake_case			,return_codebook_pixels=_snake_case			,return_tensors=_snake_case			,**_snake_case			,)

				if text is not None and images is not None:
						encoding.update(_snake_case						)
						return encoding
				elif text is not None:
						return encoding
				else:
						return BatchEncoding(data=dict(**_snake_case						)			,tensor_type=_snake_case						)







		def 					UpperCAmelCase    (	self						:  int			,*_snake_case						:  Any			,**_snake_case						:  List[str]						)					->		int:






				"""simple docstring"""



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







		def 					UpperCAmelCase    (	self						:  List[str]			,*_snake_case						:  List[Any]			,**_snake_case						:  Any						)					->		Any:






				"""simple docstring"""



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







		@property
		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		int:






				"""simple docstring"""



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







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






				"""simple docstring"""



				warnings.warn(
				    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''			,_snake_case			,)
				return self.image_processor_class







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






				"""simple docstring"""



				warnings.warn(
				    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''			,_snake_case			,)
				return self.image_processor




"""simple docstring"""





def    _snake_case  (  _snake_case :	list	):

      def merge(_snake_case :	list       ,      _snake_case :	list	) -> list:

            def _merge():
                  while left and right:
                        yield (left if left[0] <= right[0] else right).pop(0	)
                  yield from left
                  yield from right

            return list(_merge()	)

      if len(_snake_case	) <= 1:
            return collection
      lowerCAmelCase    :		Union[str, Any]				=      len(_snake_case	) // 2
      return merge(merge_sort(collection[:mid]	)       ,      merge_sort(collection[mid:]	)	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 snake_case__						:   Optional[Any]			 = input('''Enter numbers separated by a comma:\n''').strip()
 snake_case__						:   Union[str, Any]			 = [int(item) for item in user_input.split(''',''')]
 print(*merge_sort(unsorted), sep=''',''')


