


from __future__ import annotations

from typing import Generic, TypeVar

__lowerCAmelCase									=				TypeVar('''T''')





class     __a     (       Generic[T] ):
 def __init__(  self							,					lowerCAmelCase__					)   ->							List[str]:




        '''simple docstring'''
        lowercase__:  Tuple         =  data  # Assign data
        lowercase__:  Dict         =  None  # Initialize next as null
        lowercase__:  Dict         =  None  # Initialize prev as null





class     __a     (       Generic[T] ):
 def __init__(  self					)   ->							List[Any]:




        '''simple docstring'''
        lowercase__:  Tuple         =  None
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__					)   ->							Tuple:




        '''simple docstring'''
        if self.head is None:
               lowercase__:  Tuple         =  Node(__lowercase					)
        else:
               lowercase__:  List[Any]         =  Node(__lowercase					)
               lowercase__:  Optional[int]         =  new_node
               lowercase__:  int         =  self.head
               lowercase__:  Optional[int]         =  None
               lowercase__:  Optional[Any]         =  new_node
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[Any]:




        '''simple docstring'''
        if self.head is None:
               return None
        else:
               assert self.head is not None
               lowercase__:  Optional[int]         =  self.head.data
               lowercase__:  int         =  self.head.next
               if self.head is not None:
                      lowercase__:  List[Any]         =  None
               return temp
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							int:




        '''simple docstring'''
        return self.head.data if self.head is not None else None
 def __len__(  self					)   ->							Dict:




        '''simple docstring'''
        lowercase__:  Optional[int]         =  self.head
        lowercase__:  Optional[Any]         =  0
        while temp is not None:
               count += 1
               lowercase__:  str         =  temp.next
        return count
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[int]:




        '''simple docstring'''
        return self.head is None
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							str:




        '''simple docstring'''
        print('stack elements are:'					)
        lowercase__:  Union[str, Any]         =  self.head
        while temp is not None:
               print(temp.data							,					end='->'					)
               lowercase__:  Tuple         =  temp.next


# Code execution starts here
if __name__ == "__main__":
 # Start with the empty stack
 __lowerCAmelCase									=				Stack()

 # Insert 4 at the beginning. So stack becomes 4->None
 print('''Stack operations using Doubly LinkedList''')
 stack.push(4)

 # Insert 5 at the beginning. So stack becomes 4->5->None
 stack.push(5)

 # Insert 6 at the beginning. So stack becomes 4->5->6->None
 stack.push(6)

 # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
 stack.push(7)

 # Print the stack
 stack.print_stack()

 # Print the top element
 print('''\nTop element is ''', stack.top())

 # Print the stack size
 print('''Size of the stack is ''', len(stack))

 # pop the top element
 stack.pop()

 # pop the top element
 stack.pop()

 # two elements have now been popped off
 stack.print_stack()

 # Print True if the stack is empty else False
 print('''\nstack is empty:''', stack.is_empty())










"""simple docstring"""



import json
import logging
import os
import subprocess
from argparse import ArgumentParser


a  :						Dict					       =							logging.getLogger(__name__)




def       snake_case__		(   )    ->Any:
 UpperCAmelCase__ 						=				ArgumentParser()
 UpperCAmelCase__						,	UpperCAmelCase__ 						=				parser.parse_known_args()
 for arg in unknown:
  if arg.startswith(("""-""", """--""")			):
   parser.add_argument(arg.split("""="""			)[0]			)

 return parser.parse_args()




def       snake_case__		(   )    ->List[Any]:
 UpperCAmelCase__ 						=				parse_args()
 UpperCAmelCase__ 						=				8_8_8_8
 UpperCAmelCase__ 						=				int(os.environ["""SM_NUM_GPUS"""]			)
 UpperCAmelCase__ 						=				json.loads(os.environ["""SM_HOSTS"""]			)
 UpperCAmelCase__ 						=				len(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				os.environ["""SM_CURRENT_HOST"""]
 UpperCAmelCase__ 						=				hosts.index(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				"""INFO"""

 if num_nodes > 1:
  UpperCAmelCase__ 						=				F'''python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]			)}'''
 else:
  UpperCAmelCase__ 						=				F'''python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]			)}'''
 try:
  subprocess.run(_SCREAMING_SNAKE_CASE       ,	shell=_SCREAMING_SNAKE_CASE			)
 except Exception as e:
  logger.info(_SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
 main()



