
"""simple docstring"""




class  snake_case     :

							def __init__(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = {}

							def _lowercase					(self    ):

									"""simple docstring"""







									print(self.vertex    )
									for i in self.vertex:
											print(SCREAMING_SNAKE_CASE_       ,       ''' -> '''       ,       ''' -> '''.join([str(SCREAMING_SNAKE_CASE_    ) for j in self.vertex[i]]    )    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									if from_vertex in self.vertex:
											self.vertex[from_vertex].append(SCREAMING_SNAKE_CASE_    )
									else:
											# else make a new vertex
											SCREAMING_SNAKE_CASE_						 = [to_vertex]

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = [False] * len(self.vertex    )

									# call the recursive helper function
									for i in range(len(self.vertex    )    ):
											if not visited[i]:
													self.dfs_recursive(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = True

									print(SCREAMING_SNAKE_CASE_       ,       end=''' '''    )

									# Recur for all the vertices that are adjacent to this node
									for i in self.vertex:
											if not visited[i]:
													self.dfs_recursive(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )


if __name__ == "__main__":
						lowerCAmelCase__							=				Graph()
						g.add_edge(0, 1)
						g.add_edge(0, 2)
						g.add_edge(1, 2)
						g.add_edge(2, 0)
						g.add_edge(2, 3)
						g.add_edge(3, 3)

						g.print_graph()
						print('DFS:')
						g.dfs()

						# OUTPUT:
						# 0  ->  1 -> 2
						# 1  ->  2
						# 2  ->  0 -> 3
						# 3  ->  3
						# DFS:
						#  0 1 2 3

"""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        _lowerCamelCase ( __a    ):
		if is_torch_version('''<''',							'''2.0.0'''    ) or not hasattr(__a,							'''_dynamo'''    ):
				return False
		return isinstance(__a,							torch._dynamo.eval_frame.OptimizedModule    )



def        _lowerCamelCase ( __a,							__a = True    ):
		SCREAMING_SNAKE_CASE_						 = (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

		SCREAMING_SNAKE_CASE_						 = is_compiled_module(__a    )
		if is_compiled:
				SCREAMING_SNAKE_CASE_						 = model
				SCREAMING_SNAKE_CASE_						 = model._orig_mod

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

		while isinstance(__a,							__a    ):
				SCREAMING_SNAKE_CASE_						 = model.module

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

		if is_compiled:
				SCREAMING_SNAKE_CASE_						 = model
				SCREAMING_SNAKE_CASE_						 = compiled_model

		return model



def        _lowerCamelCase ( ):
		PartialState().wait_for_everyone()



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



@contextmanager
def        _lowerCamelCase ( **__a    ):
		for key, value in kwargs.items():
				SCREAMING_SNAKE_CASE_						 = str(__a    )

		yield

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



def        _lowerCamelCase ( __a    ):
		if not hasattr(__a,							'''__qualname__'''    ) and not hasattr(__a,							'''__name__'''    ):
				SCREAMING_SNAKE_CASE_						 = getattr(__a,							'''__class__''',							__a    )
		if hasattr(__a,							'''__qualname__'''    ):
				return obj.__qualname__
		if hasattr(__a,							'''__name__'''    ):
				return obj.__name__
		return str(__a    )



def        _lowerCamelCase ( __a,							__a    ):
		for key, value in source.items():
				if isinstance(__a,							__a    ):
						SCREAMING_SNAKE_CASE_						 = destination.setdefault(__a,							{}    )
						merge_dicts(__a,							__a    )
				else:
						SCREAMING_SNAKE_CASE_						 = value

		return destination



def        _lowerCamelCase ( __a = None    ):
		if port is None:
				SCREAMING_SNAKE_CASE_						 = 29_500
		with socket.socket(socket.AF_INET,							socket.SOCK_STREAM    ) as s:
				return s.connect_ex(('''localhost''', port)    ) == 0