




'''simple docstring'''







import torch

from accelerate import Accelerator, DistributedType







class 				_a   :





     '''simple docstring'''



     def __enter__(							self       )			->							List[Any]:
          if self.enabled:
               snake_case :			List[str]					   = self.model.no_sync()
               self.model_sync_obj.__enter__()

          return self







     def __exit__(							self       ,__a       ,__a       ,__a       )			->							Any:
          if self.enabled:
               # Average all models on exit
               self._sync_and_avg_model_params()
               self.model_sync_obj.__exit__(__a       ,__a       ,__a       )







     def __init__(							self       ,__a       ,__a       ,__a       ,__a = True       )			->							Dict:
          if accelerator.distributed_type not in [
              DistributedType.NO,
              DistributedType.MULTI_CPU,
              DistributedType.MULTI_GPU,
          ]:
               raise NotImplementedError("""LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)"""       )
          snake_case :			Dict					   = enabled and accelerator.distributed_type != DistributedType.NO
          snake_case :			Any					   = 0
          if self.enabled:
               snake_case :			Optional[Any]					   = accelerator
               snake_case :			Dict					   = model
               snake_case :			Optional[Any]					   = local_sgd_steps







     def  snake_case_			(							self       )			->							str:
          self.num_steps += 1
          if not self.enabled:
               return

          if self.num_steps % self.local_sgd_steps == 0:
               self._sync_and_avg_model_params()







     def  snake_case_			(							self       )			->							str:
          self.accelerator.wait_for_everyone()
          with self.accelerator.autocast():
               for param in self.model.parameters():
                    snake_case :			List[str]					   = self.accelerator.reduce(param.data       ,reduction="""mean"""       )









'''simple docstring'''







from .balanced_parentheses import balanced_parentheses
from .stack import Stack



def 					lowerCamelCase__							(			__lowercase							):
     return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(__lowercase    ,      -1							)



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


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

      testmod()
      lowercase			:      Tuple			=					"""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))



