
"""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__						(     __snake_case      )				->						Tuple:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case = True      )				->						List[str]:


					"""simple docstring"""





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

					_UpperCamelCase									=    is_compiled_module(__snake_case      )
					if is_compiled:
										_UpperCamelCase									=    model
										_UpperCamelCase									=    model._orig_mod

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

					while isinstance(__snake_case,	__snake_case      ):
										_UpperCamelCase									=    model.module

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

					if is_compiled:
										_UpperCamelCase									=    model
										_UpperCamelCase									=    compiled_model

					return model



def  lowerCamelCase__						(     )				->						Tuple:


					"""simple docstring"""





					PartialState().wait_for_everyone()



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						Any:


					"""simple docstring"""





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



@contextmanager
def  lowerCamelCase__						(     **__snake_case      )				->						Tuple:


					"""simple docstring"""





					for key, value in kwargs.items():
										_UpperCamelCase									=    str(__snake_case      )

					yield

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



def  lowerCamelCase__						(     __snake_case      )				->						Optional[Any]:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						Any:


					"""simple docstring"""





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

					return destination



def  lowerCamelCase__						(     __snake_case = None      )				->						bool:


					"""simple docstring"""





					if port is None:
										_UpperCamelCase									=    2_95_00
					with socket.socket(socket.AF_INET,	socket.SOCK_STREAM      ) as s:
										return s.connect_ex(('''localhost''', port)      ) == 0











"""simple docstring"""






import argparse
from collections import defaultdict


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  Optional[int]:
			__lowerCAmelCase :    str				=			F"""{file}_{class_name}_{test_name}"""
			done_test[_id] += 1

			with open(__snake_case   ,"r"      ) as f:
						__lowerCAmelCase :    List[str]				=			f.readlines()

			__lowerCAmelCase :    Tuple				=			F"""class {class_name}("""
			__lowerCAmelCase :    Tuple				=			F"""{4 * ' '}def {test_name}("""
			__lowerCAmelCase :    List[str]				=			F"""{8 * ' '}{correct_line.split()[0]}"""
			__lowerCAmelCase :    List[Any]				=			F"""{16 * ' '}{correct_line.split()[0]}"""
			__lowerCAmelCase :    Any				=			False
			__lowerCAmelCase :    List[Any]				=			False
			__lowerCAmelCase :    Optional[Any]				=			False
			__lowerCAmelCase :    str				=			False
			__lowerCAmelCase :    Optional[int]				=			0
			__lowerCAmelCase :    Dict				=			0

			__lowerCAmelCase :    int				=			[]
			for line in lines:
						if line.startswith(__snake_case      ):
									__lowerCAmelCase :    Any				=			True
						elif in_class and line.startswith(__snake_case      ):
									__lowerCAmelCase :    str				=			True
						elif in_class and in_func and (line.startswith(__snake_case      ) or line.startswith(__snake_case      )):
									__lowerCAmelCase :    Optional[Any]				=			len(line.split(correct_line.split()[0]      )[0]      )
									count += 1

									if count == done_test[_id]:
												__lowerCAmelCase :    Optional[int]				=			True

						if in_class and in_func and in_line:
									if ")" not in line:
												continue
									else:
												__lowerCAmelCase :    Dict				=			True

						if in_class and in_func and in_line and insert_line:
									new_lines.append(F"""{spaces * ' '}{correct_line}"""      )
									__lowerCAmelCase :    Union[str, Any]				=			False
						else:
									new_lines.append(__snake_case      )

			with open(__snake_case   ,"w"      ) as f:
						for line in new_lines:
									f.write(__snake_case      )


def      _lowercase							(    __snake_case   ,__snake_case=None      )		->  int:
			if fail is not None:
						with open(__snake_case   ,"r"      ) as f:
									__lowerCAmelCase :    Union[str, Any]				=			{l.strip() for l in f.readlines()}
			else:
						__lowerCAmelCase :    Optional[Any]				=			None

			with open(__snake_case   ,"r"      ) as f:
						__lowerCAmelCase :    Union[str, Any]				=			f.readlines()

			__lowerCAmelCase :    Optional[Any]				=			defaultdict(__snake_case      )
			for line in correct_lines:
						__lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase :    List[str]				=			line.split(";"      )
						if test_failures is None or "::".join([file, class_name, test_name]      ) in test_failures:
									overwrite_file(__snake_case   ,__snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )


if __name__ == "__main__":
	__snake_case				:  Union[str, Any] =       argparse.ArgumentParser()
	parser.add_argument('--correct_filename', help='filename of tests with expected result')
	parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
	__snake_case				:  int =       parser.parse_args()

	main(args.correct_filename, args.fail_filename)