
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    A (      lowercase				)     ->						List[str]:
		'''simple docstring'''

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


def    A (      lowercase					, lowercase = True				)     ->						Any:
		'''simple docstring'''

		UpperCamelCase						=  (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

		UpperCamelCase						=  is_compiled_module(lowercase				)
		if is_compiled:
				UpperCamelCase						=  model
				UpperCamelCase						=  model._orig_mod

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

		while isinstance(lowercase					, lowercase				):
				UpperCamelCase						=  model.module

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

		if is_compiled:
				UpperCamelCase						=  model
				UpperCamelCase						=  compiled_model

		return model


def    A (      )     ->						Optional[int]:
		'''simple docstring'''

		PartialState().wait_for_everyone()


def    A (      lowercase					, lowercase				)     ->						Union[str, Any]:
		'''simple docstring'''

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


@contextmanager
def    A (      **lowercase				)     ->						Optional[Any]:
		'''simple docstring'''

		for key, value in kwargs.items():
				UpperCamelCase						=  str(lowercase				)

		yield

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


def    A (      lowercase				)     ->						str:
		'''simple docstring'''

		if not hasattr(lowercase					, '__qualname__'				) and not hasattr(lowercase					, '__name__'				):
				UpperCamelCase						=  getattr(lowercase					, '__class__'					, lowercase				)
		if hasattr(lowercase					, '__qualname__'				):
				return obj.__qualname__
		if hasattr(lowercase					, '__name__'				):
				return obj.__name__
		return str(lowercase				)


def    A (      lowercase					, lowercase				)     ->						int:
		'''simple docstring'''

		for key, value in source.items():
				if isinstance(lowercase					, lowercase				):
						UpperCamelCase						=  destination.setdefault(lowercase					, {}				)
						merge_dicts(lowercase					, lowercase				)
				else:
						UpperCamelCase						=  value

		return destination


def    A (      lowercase = None				)     ->						bool:
		'''simple docstring'''

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


import re


def    A (      lowercase				)     ->						str:
		'''simple docstring'''

		if len(re.findall('[ATCG]'					, lowercase				)				) != len(lowercase				):
				raise ValueError('Invalid Strand'				)

		return dna.translate(dna.maketrans('ATCG'					, 'TAGC'				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
