
def     A__   (  lowerCamelCase  )					->		int:
				UpperCamelCase_:							Tuple		=  []
				UpperCamelCase_:							Optional[int]		=  []
				UpperCamelCase_:							Dict		=  {
				    '''^''': 3,
				    '''*''': 2,
				    '''/''': 2,
				    '''%''': 2,
				    '''+''': 1,
				    '''-''': 1,
				}  # Priority of each operator
				UpperCamelCase_:							Tuple		=  len(lowerCAmelCase__  ) if (len(lowerCAmelCase__  ) > 7) else 7

				# Print table header for output
				print(
				    """Symbol""".center(8  )       ,      """Stack""".center(lowerCAmelCase__  )       ,      """Postfix""".center(lowerCAmelCase__  )       ,      sep=""" | """       ,      )
				print("""-""" * (print_width * 3 + 7)  )

				for x in infix:
								if x.isalpha() or x.isdigit():
												post_fix.append(lowerCAmelCase__  )  # if x is Alphabet / Digit, add it to Postfix
								elif x == "(":
												stack.append(lowerCAmelCase__  )  # if x is "(" push to Stack
								elif x == ")":  # if x is ")" pop stack until "(" is encountered
												while stack[-1] != "(":
																post_fix.append(stack.pop()  )  # Pop stack & add the content to Postfix
												stack.pop()
								else:
												if len(lowerCAmelCase__  ) == 0:
																stack.append(lowerCAmelCase__  )  # If stack is empty, push x to stack
												else:  # while priority of x is not > priority of element in the stack
																while len(lowerCAmelCase__  ) > 0 and priority[x] <= priority[stack[-1]]:
																				post_fix.append(stack.pop()  )  # pop stack & add to Postfix
																stack.append(lowerCAmelCase__  )  # push x to stack

								print(
								    x.center(8  )       ,      ("""""".join(lowerCAmelCase__  )).ljust(lowerCAmelCase__  )       ,      ("""""".join(lowerCAmelCase__  )).ljust(lowerCAmelCase__  )       ,      sep=""" | """       ,      )  # Output in tabular format

				while len(lowerCAmelCase__  ) > 0:  # while stack is not empty
								post_fix.append(stack.pop()  )  # pop stack & add to Postfix
								print(
								    """ """.center(8  )       ,      ("""""".join(lowerCAmelCase__  )).ljust(lowerCAmelCase__  )       ,      ("""""".join(lowerCAmelCase__  )).ljust(lowerCAmelCase__  )       ,      sep=""" | """       ,      )  # Output in tabular format

				return "".join(lowerCAmelCase__  )  # return Postfix as str







def     A__   (  lowerCamelCase  )					->		Optional[Any]:
				UpperCamelCase_:							Dict		=  list(infix[::-1]  )  # reverse the infix equation

				for i in range(len(lowerCAmelCase__  )  ):
								if infix[i] == "(":
												UpperCamelCase_:							Union[str, Any]		=  ''')'''  # change "(" to ")"
								elif infix[i] == ")":
												UpperCamelCase_:							List[Any]		=  '''('''  # change ")" to "("

				return (infix_2_postfix("""""".join(lowerCAmelCase__  )  ))[
				    ::-1
				]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
				lowerCamelCase_  :	Any 				=					input("""\nEnter an Infix Equation = """)  # Input an Infix equation
				lowerCamelCase_  :	List[str] 				=					"""""".join(Infix.split())  # Remove spaces from the input
				print("""\n\t""", Infix, """(Infix) -> """, infix_2_prefix(Infix), """(Prefix)""")








from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_  :	Tuple 				=					logging.get_logger(__name__)

lowerCamelCase_  :	str 				=					{
    """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json""",
}

class     _UpperCamelCase			(   _A					):






			'''simple docstring'''

			__UpperCamelCase :  Any    =	"""lxmert"""
			__UpperCamelCase :  Optional[Any]    =	{}

			def __init__(    self	:    Dict  ,		snake_case_	:    List[str]=3_0522  ,		snake_case_	:    int=768  ,		snake_case_	:    str=12  ,		snake_case_	:    Tuple=9500  ,		snake_case_	:    Optional[Any]=1600  ,		snake_case_	:    str=400  ,		snake_case_	:    List[str]=3072  ,		snake_case_	:    Dict="gelu"  ,		snake_case_	:    Optional[Any]=0.1  ,		snake_case_	:    int=0.1  ,		snake_case_	:    Optional[int]=512  ,		snake_case_	:    Tuple=2  ,		snake_case_	:    Optional[int]=0.02  ,		snake_case_	:    Union[str, Any]=1e-12  ,		snake_case_	:    Tuple=9  ,		snake_case_	:    Tuple=5  ,		snake_case_	:    Union[str, Any]=5  ,		snake_case_	:    List[str]=2048  ,		snake_case_	:    Any=4  ,		snake_case_	:    int=6.67  ,		snake_case_	:    Dict=True  ,		snake_case_	:    Tuple=True  ,		snake_case_	:    int=True  ,		snake_case_	:    str=True  ,		snake_case_	:    List[Any]=True  ,		snake_case_	:    List[Any]=True  ,		snake_case_	:    List[str]=True  ,		**snake_case_	:    Optional[int]  ,		):
							UpperCamelCase_:							int		=  vocab_size
							UpperCamelCase_:							Tuple		=  hidden_size
							UpperCamelCase_:							Optional[Any]		=  num_attention_heads
							UpperCamelCase_:							List[str]		=  hidden_act
							UpperCamelCase_:							int		=  intermediate_size
							UpperCamelCase_:							Any		=  hidden_dropout_prob
							UpperCamelCase_:							List[Any]		=  attention_probs_dropout_prob
							UpperCamelCase_:							List[str]		=  max_position_embeddings
							UpperCamelCase_:							Optional[Any]		=  type_vocab_size
							UpperCamelCase_:							Optional[Any]		=  initializer_range
							UpperCamelCase_:							str		=  layer_norm_eps
							UpperCamelCase_:							List[str]		=  num_qa_labels
							UpperCamelCase_:							List[str]		=  num_object_labels
							UpperCamelCase_:							Tuple		=  num_attr_labels
							UpperCamelCase_:							List[Any]		=  l_layers
							UpperCamelCase_:							List[Any]		=  x_layers
							UpperCamelCase_:							Any		=  r_layers
							UpperCamelCase_:							str		=  visual_feat_dim
							UpperCamelCase_:							Union[str, Any]		=  visual_pos_dim
							UpperCamelCase_:							str		=  visual_loss_normalizer
							UpperCamelCase_:							Dict		=  task_matched
							UpperCamelCase_:							Tuple		=  task_mask_lm
							UpperCamelCase_:							List[str]		=  task_obj_predict
							UpperCamelCase_:							Any		=  task_qa
							UpperCamelCase_:							Dict		=  visual_obj_loss
							UpperCamelCase_:							Optional[Any]		=  visual_attr_loss
							UpperCamelCase_:							List[Any]		=  visual_feat_loss
							UpperCamelCase_:							Tuple		=  {"""vision""": r_layers, """cross_encoder""": x_layers, """language""": l_layers}
							super().__init__(**snake_case_ )






