code: 
  
  
  '''simple docstring'''
  
  import json
  import logging
  import os
  import subprocess
  from argparse import ArgumentParser
  
  
  __lowercase:		Dict							=     logging.getLogger(__name__)
  
  
  
  def        SCREAMING_SNAKE_CASE__(		)		->					List[Any]:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     UpperCamelCase__ 						=						ArgumentParser()
     UpperCamelCase__ 						=						parser.parse_known_args()
     for arg in unknown:
        if arg.startswith(("-", "--")   ):
           parser.add_argument(arg.split("="   )[0]   )
  
     return parser.parse_args()
  
  
  
  def        SCREAMING_SNAKE_CASE__(		)		->					Optional[int]:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     UpperCamelCase__ 						=						parse_args()
     UpperCamelCase__ 						=						88_88
     UpperCamelCase__ 						=						int(os.environ["SM_NUM_GPUS"]   )
     UpperCamelCase__ 						=						json.loads(os.environ["SM_HOSTS"]   )
     UpperCamelCase__ 						=						len(_UpperCamelCase   )
     UpperCamelCase__ 						=						os.environ["SM_CURRENT_HOST"]
     UpperCamelCase__ 						=						hosts.index(_UpperCamelCase   )
     UpperCamelCase__ 						=						"INFO"
  
     if num_nodes > 1:
        UpperCamelCase__ 						=						F'python -m torch.distributed.launch \\n                --nnodes={num_nodes}  \\n                --node_rank={rank}  \\n                --nproc_per_node={num_gpus}  \\n                --master_addr={hosts[0]}  \\n                --master_port={port} \\n                ./run_glue.py \\n                {"".join(["nested fstring" for parameter,value in args.__dict__.items()]   )}'
     else:
        UpperCamelCase__ 						=						F'python -m torch.distributed.launch \\n            --nproc_per_node={num_gpus}  \\n            ./run_glue.py \\n            {"".join(["nested fstring" for parameter,value in args.__dict__.items()]   )}'
     try:
        subprocess.run(_UpperCamelCase    ,		shell=_UpperCamelCase   )
     except Exception as e:
        logger.info(_UpperCamelCase   )
  
  
  if __name__ == "__main__":
     main()
style_context: 
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  import random
  from collections.abc import Iterable
  from typing import Any, Generic, TypeVar
  
  __lowercase:		Optional[Any]							=     TypeVar("T", bound=bool)
  
  
  
  
  
  
  
  class  UpperCAmelCase (       Generic[T]):
  
   def __init__( self :	int,					a_ :	T					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						value
      UpperCamelCase__ 						=						None
      UpperCamelCase__ 						=						None
  
   @property
   def 		lowercase_						( self :	Dict					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      return self._value
  
   @staticmethod
   def 		lowercase_						( a_ :	RandomizedHeapNode[T] | None,					a_ :	RandomizedHeapNode[T] | None					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      if not roota:
         return roota
  
      if not roota:
         return roota
  
      if roota.value > roota.value:
         UpperCamelCase__						,		UpperCamelCase__ 						=						roota, roota
  
      if random.choice([True, False]					):
         UpperCamelCase__						,		UpperCamelCase__ 						=						roota.right, roota.left
  
      UpperCamelCase__ 						=						RandomizedHeapNode.merge(roota.left,					a_					)
  
      return roota
  
  
  
  
  
  
  
  class  UpperCAmelCase (       Generic[T]):
  
   def __init__( self :	List[Any],					a_ :	Iterable[T] | None = ()					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						None
  
      if data:
         for item in data:
            self.insert(a_					)
  
   def 		lowercase_						( self :	Any,					a_ :	T					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						RandomizedHeapNode.merge(self._root,					RandomizedHeapNode(a_					)					)
  
   def 		lowercase_						( self :	Any					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						self.top()
  
      if self._root is None:
         return None
  
      UpperCamelCase__ 						=						RandomizedHeapNode.merge(self._root.left,					self._root.right					)
  
      return result
  
   def 		lowercase_						( self :	Union[str, Any]					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      if not self._root:
         raise IndexError("Can't get top element for the empty heap."					)
      return self._root.value
  
   def 		lowercase_						( self :	Tuple					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						None
  
   def 		lowercase_						( self :	int					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						[]
      while self:
         result.append(self.pop()					)
  
      return result
  
   def __bool__( self :	List[Any]					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      return self._root is not None
  
  
  if __name__ == "__main__":
         import doctest
  
         doctest.testmod()