


"""simple docstring"""





from typing import List, Optional, Union

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



class 		snake_case_(       a__			):
     __UpperCamelCase  =					['''image_processor''', '''tokenizer''']
     __UpperCamelCase  =					'''Pix2StructImageProcessor'''
     __UpperCamelCase  =					('''T5Tokenizer''', '''T5TokenizerFast''')






     def __init__(	self  :					Union[str, Any]					,				UpperCamelCase_  :					Dict					,				UpperCamelCase_  :					Tuple				):
           lowerCAmelCase					:	str       =   False
           super().__init__(UpperCamelCase_					,				UpperCamelCase_				)






     def __call__(	self  :					Tuple					,				UpperCamelCase_  :					Union[str, Any]=None					,				UpperCamelCase_  :					Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None					,				UpperCamelCase_  :					bool = True					,				UpperCamelCase_  :					Union[bool, str, PaddingStrategy] = False					,				UpperCamelCase_  :					Union[bool, str, TruncationStrategy] = None					,				UpperCamelCase_  :					Optional[int] = None					,				UpperCamelCase_  :					Optional[int] = 2_0_4_8					,				UpperCamelCase_  :					int = 0					,				UpperCamelCase_  :					Optional[int] = None					,				UpperCamelCase_  :					Optional[bool] = None					,				UpperCamelCase_  :					bool = False					,				UpperCamelCase_  :					bool = False					,				UpperCamelCase_  :					bool = False					,				UpperCamelCase_  :					bool = False					,				UpperCamelCase_  :					bool = False					,				UpperCamelCase_  :					bool = True					,				UpperCamelCase_  :					Optional[Union[str, TensorType]] = None					,				**UpperCamelCase_  :					str					,				):
           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 and not self.image_processor.is_vqa:
                 lowerCAmelCase					:	str       =   self.tokenizer
                 lowerCAmelCase					:	Optional[int]       =   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

           if not self.image_processor.is_vqa:
                 # add pixel_values
                 lowerCAmelCase					:	Any       =   self.image_processor(
                     UpperCamelCase_					,				return_tensors=UpperCamelCase_					,				max_patches=UpperCamelCase_					,				**UpperCamelCase_				)
           else:
                 # add pixel_values and bbox
                 lowerCAmelCase					:	Tuple       =   self.image_processor(
                     UpperCamelCase_					,				return_tensors=UpperCamelCase_					,				max_patches=UpperCamelCase_					,				header_text=UpperCamelCase_					,				**UpperCamelCase_				)

           if text is not None and not self.image_processor.is_vqa:
                 lowerCAmelCase					:	Optional[int]       =   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_					,				)

                 if "attention_mask" in text_encoding:
                       lowerCAmelCase					:	Any       =   text_encoding.pop('''attention_mask'''				)
                 if "input_ids" in text_encoding:
                       lowerCAmelCase					:	Tuple       =   text_encoding.pop('''input_ids'''				)
           else:
                 lowerCAmelCase					:	Optional[Any]       =   None

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

           return encoding_image_processor






     def      lowerCamelCase__     (	self  :					str					,				*UpperCamelCase_  :					int					,				**UpperCamelCase_  :					Optional[Any]				):
           return self.tokenizer.batch_decode(*UpperCamelCase_					,				**UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Tuple					,				*UpperCamelCase_  :					int					,				**UpperCamelCase_  :					Dict				):
           return self.tokenizer.decode(*UpperCamelCase_					,				**UpperCamelCase_				)






     @property
     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	Any       =   self.tokenizer.model_input_names
           lowerCAmelCase					:	Any       =   self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)






"""simple docstring"""





# using dfs for finding eulerian path traversal


def      _snake_case						(						_snake_case				:			Optional[Any] ,   _snake_case				:			List[Any] ,   _snake_case				:			str ,   _snake_case				:			List[Any]=None			):
      lowerCAmelCase					:	Any       =   (path or []) + [u]
      for v in graph[u]:
            if visited_edge[u][v] is False:
                  lowerCAmelCase,      lowerCAmelCase					:	Union[str, Any]       =   True, True
                  lowerCAmelCase					:	int       =   dfs(_snake_case ,   _snake_case ,   _snake_case ,   _snake_case			)
      return path


def      _snake_case						(						_snake_case				:			Optional[int] ,   _snake_case				:			Dict			):
      lowerCAmelCase					:	Tuple       =   0
      lowerCAmelCase					:	Optional[Any]       =   -1
      for i in range(_snake_case			):
            if i not in graph.keys():
                  continue
            if len(graph[i]			) % 2 == 1:
                  odd_degree_nodes += 1
                  lowerCAmelCase					:	Optional[Any]       =   i
      if odd_degree_nodes == 0:
            return 1, odd_node
      if odd_degree_nodes == 2:
            return 2, odd_node
      return 3, odd_node


def      _snake_case						(						_snake_case				:			Tuple ,   _snake_case				:			List[Any]			):
      lowerCAmelCase					:	Any       =   [[False for _ in range(max_node + 1			)] for _ in range(max_node + 1			)]
      lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   check_circuit_or_path(_snake_case ,   _snake_case			)
      if check == 3:
            print('''graph is not Eulerian'''			)
            print('''no path'''			)
            return
      lowerCAmelCase					:	Dict       =   1
      if check == 2:
            lowerCAmelCase					:	int       =   odd_node
            print('''graph has a Euler path'''			)
      if check == 1:
            print('''graph has a Euler cycle'''			)
      lowerCAmelCase					:	List[str]       =   dfs(_snake_case ,   _snake_case ,   _snake_case			)
      print(_snake_case			)


def      _snake_case						(						):
      lowerCAmelCase					:	Optional[Any]       =   {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
      lowerCAmelCase					:	Union[str, Any]       =   {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
      lowerCAmelCase					:	List[Any]       =   {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
      lowerCAmelCase					:	Optional[Any]       =   {1: [2, 3], 2: [1, 3], 3: [1, 2]}
      lowerCAmelCase					:	Any       =   {
          1: [],
          2: []
          # all degree is zero
      }
      lowerCAmelCase					:	List[str]       =   10
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)
      check_euler(_snake_case ,   _snake_case			)


if __name__ == "__main__":
 main()


