

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 		UpperCamelCase      (lowercase_:				str      )  ->   List[str]:







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

def 		UpperCamelCase      (lowercase_:				Optional[Any]					,   lowercase_:				List[Any] = True      )  ->   Dict:
	A__							:					List[Any]       =	(torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

	A__							:					Union[str, Any]       =	is_compiled_module(_lowercase      )
	if is_compiled:
		A__							:					Any       =	model
		A__							:					Dict       =	model._orig_mod

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

	while isinstance(_lowercase					,   _lowercase      ):
		A__							:					Dict       =	model.module

	if not keep_fpaa_wrapper:
		A__							:					Union[str, Any]       =	getattr(_lowercase					,   """forward"""      )
		A__							:					Dict       =	model.__dict__.pop("""_original_forward"""					,   _lowercase      )
		if original_forward is not None:
			while hasattr(_lowercase					,   """__wrapped__"""      ):
				A__							:					str       =	forward.__wrapped__
				if forward == original_forward:
					break
			A__							:					Any       =	forward
		if getattr(_lowercase					,   """_converted_to_transformer_engine"""					,   _lowercase      ):
			convert_model(_lowercase					,   to_transformer_engine=_lowercase      )

	if is_compiled:
		A__							:					Union[str, Any]       =	model
		A__							:					Union[str, Any]       =	compiled_model

	return model

def 		UpperCamelCase      ()  ->   Any:
	PartialState().wait_for_everyone()

def 		UpperCamelCase      (lowercase_:				List[Any]					,   lowercase_:				int      )  ->   int:







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

@contextmanager
def 		UpperCamelCase      (**lowercase_:				str      )  ->   Dict:







	for key, value in kwargs.items():
		A__							:					str       =	str(_lowercase      )

	yield

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

def 		UpperCamelCase      (lowercase_:				int      )  ->   Dict:







	if not hasattr(_lowercase					,   """__qualname__"""      ) and not hasattr(_lowercase					,   """__name__"""      ):
		A__							:					Union[str, Any]       =	getattr(_lowercase					,   """__class__"""					,   _lowercase      )
	if hasattr(_lowercase					,   """__qualname__"""      ):
		return obj.__qualname__
	if hasattr(_lowercase					,   """__name__"""      ):
		return obj.__name__
	return str(_lowercase      )

def 		UpperCamelCase      (lowercase_:				Union[str, Any]					,   lowercase_:				Any      )  ->   Union[str, Any]:







	for key, value in source.items():
		if isinstance(_lowercase					,   _lowercase      ):
			A__							:					List[str]       =	destination.setdefault(_lowercase					,   {}      )
			merge_dicts(_lowercase					,   _lowercase      )
		else:
			A__							:					List[Any]       =	value

	return destination


def 		UpperCamelCase      (lowercase_:				List[Any] = None      )  ->   Dict:







	if port is None:
		A__							:					Union[str, Any]       =	29500
	with socket.socket(socket.AF_INET					,   socket.SOCK_STREAM      ) as s:
		return s.connect_ex(("""localhost""", port)      ) == 0







def 		UpperCamelCase      (lowercase_:				str					,   lowercase_:				str      )  ->   bool:
	A__							:					Union[str, Any]       =	len(lowercase_      )
	A__							:					List[Any]       =	len(lowercase_      )
	A__							:					List[Any]       =	[[False for _ in range(m + 1      )] for _ in range(n + 1      )]
	A__							:					str       =	True
	for i in range(lowercase_      ):
		for j in range(m + 1      ):
			if dp[i][j]:
				if j < m and a[i].upper() == b[j]:
					A__							:					int       =	True
				if a[i].islower():
					A__							:					Dict       =	True
	return dp[n][m]


if __name__ == "__main__":
	import doctest

	doctest.testmod()



