






"""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 			__UpperCamelCase	(		snake_case__					):
	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 			__UpperCamelCase	(		snake_case__   ,   snake_case__ = True					):
	A_		:						Any	    =   (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

	A_		:						str	    =   is_compiled_module(snake_case__					)
	if is_compiled:
		A_		:						Dict	    =   model
		A_		:						int	    =   model._orig_mod

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

	while isinstance(snake_case__   ,   snake_case__					):
		A_		:						Tuple	    =   model.module

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

	if is_compiled:
		A_		:						Any	    =   model
		A_		:						Optional[Any]	    =   compiled_model

	return model






def 			__UpperCamelCase	(		):
	PartialState().wait_for_everyone()






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	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 			__UpperCamelCase	(		**snake_case__					):
	for key, value in kwargs.items():
		A_		:						Optional[Any]	    =   str(snake_case__					)

	yield

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






def 			__UpperCamelCase	(		snake_case__					):
	if not hasattr(snake_case__   ,   """__qualname__"""					) and not hasattr(snake_case__   ,   """__name__"""					):
		A_		:						Dict	    =   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 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	for key, value in source.items():
		if isinstance(snake_case__   ,   snake_case__					):
			A_		:						Dict	    =   destination.setdefault(snake_case__   ,   {}					)
			merge_dicts(snake_case__   ,   snake_case__					)
		else:
			A_		:						Optional[int]	    =   value

	return destination






def 			__UpperCamelCase	(		snake_case__ = None					):
	if port is None:
		A_		:						Any	    =   29_500
	with socket.socket(socket.AF_INET   ,   socket.SOCK_STREAM					) as s:
		return s.connect_ex(("""localhost""", port)					) == 0









"""simple docstring"""
def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__					):
	return not any(
	    neighbour == 1 and colored_vertices[i] == color
	    for i, neighbour in enumerate(snake_case__					)					)






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__   ,   snake_case__					):

	# Base Case
	if index == len(snake_case__					):
		return True

	# Recursive Step
	for i in range(snake_case__					):
		if valid_coloring(graph[index]   ,   snake_case__   ,   snake_case__					):
			# Color current vertex
			A_		:						Dict	    =   i
			# Validate coloring
			if util_color(snake_case__   ,   snake_case__   ,   snake_case__   ,   index + 1					):
				return True
			# Backtrack
			A_		:						Union[str, Any]	    =   -1
	return False






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	A_		:						int	    =   [-1] * len(snake_case__					)

	if util_color(snake_case__   ,   snake_case__   ,   snake_case__   ,   0					):
		return colored_vertices

	return []

