


"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE				:     List[str]		=     logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE				:     int		=     {
    # pcqm4mv1 now deprecated
    "graphormer-base": "https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json",
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}





class   __A  (__lowerCamelCase):





							'''simple docstring'''

							__lowercase:		List[Any]				   =     """graphormer"""
							__lowercase:		List[str]				   =     ["""past_key_values"""]



							def __init__(					self				:   List[Any]		,							UpperCAmelCase_				:   int = 1		,							UpperCAmelCase_				:   int = 512 * 9		,							UpperCAmelCase_				:   int = 512 * 3		,							UpperCAmelCase_				:   int = 512		,							UpperCAmelCase_				:   int = 512		,							UpperCAmelCase_				:   int = 512		,							UpperCAmelCase_				:   int = 128		,							UpperCAmelCase_				:   int = 5		,							UpperCAmelCase_				:   int = 1_024		,							UpperCAmelCase_				:   str = "multi_hop"		,							UpperCAmelCase_				:   int = 512		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   int = 12		,							UpperCAmelCase_				:   int = 768		,							UpperCAmelCase_				:   int = 768		,							UpperCAmelCase_				:   int = 32		,							UpperCAmelCase_				:   float = 0.1		,							UpperCAmelCase_				:   float = 0.1		,							UpperCAmelCase_				:   float = 0.0		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   str = "gelu"		,							UpperCAmelCase_				:   float = None		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   int = 0		,							UpperCAmelCase_				:   bool = False		,							UpperCAmelCase_				:   float = 0.0		,							UpperCAmelCase_				:   int = 8		,							UpperCAmelCase_				:   int = None		,							UpperCAmelCase_				:   int = None		,							UpperCAmelCase_				:   bool = True		,							UpperCAmelCase_				:   bool = True		,							UpperCAmelCase_				:   Any=0		,							UpperCAmelCase_				:   Optional[int]=1		,							UpperCAmelCase_				:   Any=2		,							**UpperCAmelCase_				:   Optional[Any]		,							)       ->List[Any]:



														"""simple docstring"""



														snake_case_     							=		num_classes
														snake_case_     							=		num_atoms
														snake_case_     							=		num_in_degree
														snake_case_     							=		num_out_degree
														snake_case_     							=		num_edges
														snake_case_     							=		num_spatial
														snake_case_     							=		num_edge_dis
														snake_case_     							=		edge_type
														snake_case_     							=		multi_hop_max_dist
														snake_case_     							=		spatial_pos_max
														snake_case_     							=		max_nodes
														snake_case_     							=		num_hidden_layers
														snake_case_     							=		embedding_dim
														snake_case_     							=		embedding_dim
														snake_case_     							=		ffn_embedding_dim
														snake_case_     							=		num_attention_heads
														snake_case_     							=		dropout
														snake_case_     							=		attention_dropout
														snake_case_     							=		layerdrop
														snake_case_     							=		encoder_normalize_before
														snake_case_     							=		pre_layernorm
														snake_case_     							=		apply_graphormer_init
														snake_case_     							=		activation_fn
														snake_case_     							=		embed_scale
														snake_case_     							=		freeze_embeddings
														snake_case_     							=		num_trans_layers_to_freeze
														snake_case_     							=		share_input_output_embed
														snake_case_     							=		traceable
														snake_case_     							=		q_noise
														snake_case_     							=		qn_block_size

														# These parameters are here for future extensions
														# atm, the model only supports self attention
														snake_case_     							=		kdim
														snake_case_     							=		vdim
														snake_case_     							=		self_attention
														snake_case_     							=		bias

														super().__init__(
														    pad_token_id=UpperCAmelCase_		,							bos_token_id=UpperCAmelCase_		,							eos_token_id=UpperCAmelCase_		,							**UpperCAmelCase_		,							)










from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def      A__				(       SCREAMING_SNAKE_CASE__)  ->       int:
  return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(SCREAMING_SNAKE_CASE__   ,   -1)







def      A__				(       SCREAMING_SNAKE_CASE__)  ->       str:
  if not balanced_parentheses(SCREAMING_SNAKE_CASE__):
    raise ValueError("""Mismatched parentheses""")
  __snake_case:		Stack[str]					    =		Stack()
  __snake_case:		Any					    =		[]
  for char in expression_str:
    if char.isalpha() or char.isdigit():
      postfix.append(SCREAMING_SNAKE_CASE__)
    elif char == "(":
      stack.push(SCREAMING_SNAKE_CASE__)
    elif char == ")":
      while not stack.is_empty() and stack.peek() != "(":
        postfix.append(stack.pop())
      stack.pop()
    else:
      while not stack.is_empty() and precedence(SCREAMING_SNAKE_CASE__) <= precedence(stack.peek()):
        postfix.append(stack.pop())
      stack.push(SCREAMING_SNAKE_CASE__)
  while not stack.is_empty():
    postfix.append(stack.pop())
  return " ".join(SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      __UpperCAmelCase			:  Optional[int]										=				"a+b*(c^d-e)^(f+g*h)-i"

      print("Infix to Postfix Notation demonstration:\n")
      print("Infix notation: " + expression)
      print("Postfix notation: " + infix_to_postfix(expression))






