
"""simple docstring"""





import warnings
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 A_	(_UpperCAmelCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						Optional[Any]       =		["""image_processor""", """tokenizer"""]
  SCREAMING_SNAKE_CASE__			:						List[str]       =		"""ViltImageProcessor"""
  SCREAMING_SNAKE_CASE__			:						int       =		("""BertTokenizer""", """BertTokenizerFast""")







  def __init__(		self				,   lowercase_=None				,   lowercase_=None				,   **lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    None
     if "feature_extractor" in kwargs:
        warnings.warn(
            "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
            " instead."				,   lowercase_				,   )
        UpperCAmelCase_					:					Union[str, Any]			     =    kwargs.pop("feature_extractor"  )

     UpperCAmelCase_					:					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__(lowercase_				,   lowercase_  )
     UpperCAmelCase_					:					Dict			     =    self.image_processor







  def __call__(		self				,   lowercase_				,   lowercase_ = None				,   lowercase_ = True				,   lowercase_ = False				,   lowercase_ = None				,   lowercase_ = None				,   lowercase_ = 0				,   lowercase_ = None				,   lowercase_ = None				,   lowercase_ = None				,   lowercase_ = False				,   lowercase_ = False				,   lowercase_ = False				,   lowercase_ = False				,   lowercase_ = True				,   lowercase_ = None				,   **lowercase_				,   ):

     """simple docstring"""
     UpperCAmelCase_					:					str			     =    self.tokenizer(
         text=lowercase_				,   add_special_tokens=lowercase_				,   padding=lowercase_				,   truncation=lowercase_				,   max_length=lowercase_				,   stride=lowercase_				,   pad_to_multiple_of=lowercase_				,   return_token_type_ids=lowercase_				,   return_attention_mask=lowercase_				,   return_overflowing_tokens=lowercase_				,   return_special_tokens_mask=lowercase_				,   return_offsets_mapping=lowercase_				,   return_length=lowercase_				,   verbose=lowercase_				,   return_tensors=lowercase_				,   **lowercase_				,   )
     # add pixel_values + pixel_mask
     UpperCAmelCase_					:					int			     =    self.image_processor(lowercase_				,   return_tensors=lowercase_  )
     encoding.update(lowercase_  )

     return encoding







  def        UpperCamelCase__					(		self				,   *lowercase_				,   **lowercase_  ):

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







  def        UpperCamelCase__					(		self				,   *lowercase_				,   **lowercase_  ):

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







  @property
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[int]			     =    self.tokenizer.model_input_names
     UpperCAmelCase_					:					str			     =    self.image_processor.model_input_names
     return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )







  @property
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     warnings.warn(
         "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."				,   lowercase_				,   )
     return self.image_processor_class







  @property
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     warnings.warn(
         "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."				,   lowercase_				,   )
     return self.image_processor



'''simple docstring'''




import operator as op




def 							lowerCamelCase	(      UpperCAmelCase__       :					Optional[Any] )			->      int:
							lowercase_					:			Optional[Any]										=       []
							lowercase_					:			str										=       lambda UpperCAmelCase__      ,      UpperCAmelCase__ : int(x / y )  # noqa: E731 integer division operation
							lowercase_					:			Optional[Any]										=       {
							    """^""": op.pow,
							    """*""": op.mul,
							    """/""": div,
							    """+""": op.add,
							    """-""": op.sub,
							}  # operators & their respective operation

							# print table header
							print("""Symbol""".center(8 )      ,      """Action""".center(12 )      ,      """Stack"""      ,      sep=""" | """ )
							print("""-""" * (30 + len(UpperCAmelCase__ )) )

							for x in post_fix:
														if x.isdigit():  # if x in digit
																					stack.append(UpperCAmelCase__ )  # append x to stack
																					# output in tabular format
																					print(x.rjust(8 )      ,      ("""push(""" + x + """)""").ljust(12 )      ,      """,""".join(UpperCAmelCase__ )      ,      sep=""" | """ )
														else:
																					lowercase_					:			str										=       stack.pop()  # pop stack
																					# output in tabular format
																					print("""""".rjust(8 )      ,      ("""pop(""" + b + """)""").ljust(12 )      ,      """,""".join(UpperCAmelCase__ )      ,      sep=""" | """ )

																					lowercase_					:			Optional[int]										=       stack.pop()  # pop stack
																					# output in tabular format
																					print("""""".rjust(8 )      ,      ("""pop(""" + a + """)""").ljust(12 )      ,      """,""".join(UpperCAmelCase__ )      ,      sep=""" | """ )

																					stack.append(
																					    str(opr[x](int(UpperCAmelCase__ )      ,      int(UpperCAmelCase__ ) ) ) )  # evaluate the 2 values popped from stack & push result to stack
																					# output in tabular format
																					print(
																					    x.rjust(8 )      ,      ("""push(""" + a + x + b + """)""").ljust(12 )      ,      """,""".join(UpperCAmelCase__ )      ,      sep=""" | """      ,      )

							return int(stack[0] )


if __name__ == "__main__":
						_lowercase						: Tuple						=						input("\n\nEnter a Postfix Equation (space separated) = ").split(" ")
						print("\n\tResult = ", solve(Postfix))





