


'''simple docstring'''

import os
import socket
from contextlib import contextmanager

import torch

from ..commands.config.default import write_basic_config  # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .transformer_engine import convert_model
from .versions import is_torch_version


if is_deepspeed_available():
	from deepspeed import DeepSpeedEngine

if is_tpu_available(check_device=False):
	import torch_xla.core.xla_model as xm

def 							__magic_name__(  lowerCamelCase):
						if is_torch_version('''<''', '''2.0.0''') or not hasattr(lowerCamelCase, '''_dynamo'''):
												return False
						return isinstance(lowerCamelCase, torch._dynamo.eval_frame.OptimizedModule)

def 							__magic_name__(  lowerCamelCase, lowerCamelCase = True):
						__lowerCAmelCase											= (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

						__lowerCAmelCase											= is_compiled_module(lowerCamelCase)
						if is_compiled:
												__lowerCAmelCase											= model
												__lowerCAmelCase											= model._orig_mod

						if is_deepspeed_available():
												options += (DeepSpeedEngine,)

						while isinstance(lowerCamelCase, lowerCamelCase):
												__lowerCAmelCase											= model.module

						if not keep_fpaa_wrapper:
												__lowerCAmelCase											= getattr(lowerCamelCase, '''forward''')
												__lowerCAmelCase											= model.__dict__.pop('''_original_forward''', lowerCamelCase)
												if original_forward is not None:
																		while hasattr(lowerCamelCase, '''__wrapped__'''):
																								__lowerCAmelCase											= forward.__wrapped__
																								if forward == original_forward:
																														break
																		__lowerCAmelCase											= forward
												if getattr(lowerCamelCase, '''_converted_to_transformer_engine''', lowerCamelCase):
																		convert_model(lowerCamelCase, to_transformer_engine=lowerCamelCase)

						if is_compiled:
												__lowerCAmelCase											= model
												__lowerCAmelCase											= compiled_model

						return model

def 							__magic_name__(  ):
						PartialState().wait_for_everyone()

def 							__magic_name__(  lowerCamelCase, lowerCamelCase):
						if PartialState().distributed_type == DistributedType.TPU:
												xm.save(lowerCamelCase, lowerCamelCase)
						elif PartialState().local_process_index == 0:
												torch.save(lowerCamelCase, lowerCamelCase)

@contextmanager
def 							__magic_name__(  **lowerCamelCase):
						for key, value in kwargs.items():
												__lowerCAmelCase											= str(lowerCamelCase)

						yield

						for key in kwargs:
												if key.upper() in os.environ:
																		del os.environ[key.upper()]

def 							__magic_name__(  lowerCamelCase):
						if not hasattr(lowerCamelCase, '''__qualname__''') and not hasattr(lowerCamelCase, '''__name__'''):
												__lowerCAmelCase											= getattr(lowerCamelCase, '''__class__''', lowerCamelCase)
						if hasattr(lowerCamelCase, '''__qualname__'''):
												return obj.__qualname__
						if hasattr(lowerCamelCase, '''__name__'''):
												return obj.__name__
						return str(lowerCamelCase)

def 							__magic_name__(  lowerCamelCase, lowerCamelCase):
						for key, value in source.items():
												if isinstance(lowerCamelCase, lowerCamelCase):
																		__lowerCAmelCase											= destination.setdefault(lowerCamelCase, {})
																		merge_dicts(lowerCamelCase, lowerCamelCase)
												else:
																		__lowerCAmelCase											= value

						return destination




def 							__magic_name__(  lowerCamelCase = None):
						if port is None:
												__lowerCAmelCase											= 2_9_5_0_0
						with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
												return s.connect_ex(('''localhost''', port)) == 0


'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__ ,							lowercase__				:    Optional[int]  =					[], []
 while len(UpperCAmelCase     ) > 1:
  lowercase__ ,							lowercase__				:    List[str]  =					min(UpperCAmelCase     ), max(UpperCAmelCase     )
  start.append(UpperCAmelCase     )
  end.append(UpperCAmelCase     )
  collection.remove(UpperCAmelCase     )
  collection.remove(UpperCAmelCase     )
 end.reverse()
 return start + collection + end


if __name__ == "__main__":
  __a: Optional[int]          =   input("""Enter numbers separated by a comma:\n""").strip()
  __a: Tuple          =   [int(item) for item in user_input.split(""",""")]
  print(*merge_sort(unsorted), sep=""",""")

