



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__   ) ->      Optional[Any]:
						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__						,       lowercase__ = True   ) ->      Union[str, Any]:
						__lowercase					=				(torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

						__lowercase					=				is_compiled_module(lowercase__   )
						if is_compiled:
												__lowercase					=				model
												__lowercase					=				model._orig_mod

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

						while isinstance(lowercase__						,       lowercase__   ):
												__lowercase					=				model.module

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

						if is_compiled:
												__lowercase					=				model
												__lowercase					=				compiled_model

						return model






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






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      Optional[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__   ) ->      int:
						for key, value in kwargs.items():
												__lowercase					=				str(lowercase__   )

						yield

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






def  UpperCAmelCase__    (    lowercase__   ) ->      str:
						if not hasattr(lowercase__						,       """__qualname__"""   ) and not hasattr(lowercase__						,       """__name__"""   ):
												__lowercase					=				getattr(lowercase__						,       """__class__"""						,       lowercase__   )
						if hasattr(lowercase__						,       """__qualname__"""   ):
												return obj.__qualname__
						if hasattr(lowercase__						,       """__name__"""   ):
												return obj.__name__
						return str(lowercase__   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      str:
						for key, value in source.items():
												if isinstance(lowercase__						,       lowercase__   ):
																		__lowercase					=				destination.setdefault(lowercase__						,       {}   )
																		merge_dicts(lowercase__						,       lowercase__   )
												else:
																		__lowercase					=				value

						return destination







def  UpperCAmelCase__    (    lowercase__ = None   ) ->      bool:
						if port is None:
												__lowercase					=				29_500
						with socket.socket(socket.AF_INET						,       socket.SOCK_STREAM   ) as s:
												return s.connect_ex(("""localhost""", port)   ) == 0










UpperCamelCase__ =						{
    "joule": 1.0,
    "kilojoule": 10_00,
    "megajoule": 1_00_00_00,
    "gigajoule": 10_00_00_00_00,
    "wattsecond": 1.0,
    "watthour": 36_00,
    "kilowatthour": 3_60_00_00,
    "newtonmeter": 1.0,
    "calorie_nutr": 41_86.8,
    "kilocalorie_nutr": 4_18_68_00.00,
    "electronvolt": 1.6_0217_6634e-19,
    "britishthermalunit_it": 10_55.0_55_85,
    "footpound": 1.355_818,
}






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__   ) ->      float:
						if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
												__lowercase					=				(
												    F"Incorrect 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
												    F"Valid values are: {', '.join(lowercase__   )}"
												)
												raise ValueError(lowercase__   )
						return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
			import doctest

			doctest.testmod()





