



'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterator
from typing import Any


class 	a__     :


	def __init__(self : Tuple,					__UpperCAmelCase : Any      )     ->			int:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= data
					SCREAMING_SNAKE_CASE  :						Node | None      					= None



class 	a__     :


	def __init__(self : Union[str, Any]      )     ->			Optional[Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= None
					SCREAMING_SNAKE_CASE  :						str      					= None


	def __iter__(self : List[Any]      )     ->			Iterator[Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Tuple      					= self.head
					while self.head:
									yield node.data
									SCREAMING_SNAKE_CASE  :						Dict      					= node.next
									if node == self.head:
													break


	def __len__(self : Dict      )     ->			int:

					"""simple docstring"""

					return sum(1 for _ in self      )


	def __repr__(self : Union[str, Any]      )     ->			Union[str, Any]:

					"""simple docstring"""

					return "->".join(str(__UpperCAmelCase      ) for item in iter(self      )      )


	def 				lowercase__  (self : Optional[Any],					__UpperCAmelCase : Any      )     ->			None:

					"""simple docstring"""

					self.insert_nth(len(self      ),					__UpperCAmelCase      )


	def 				lowercase__  (self : Optional[int],					__UpperCAmelCase : Any      )     ->			None:

					"""simple docstring"""

					self.insert_nth(0,					__UpperCAmelCase      )


	def 				lowercase__  (self : str,					__UpperCAmelCase : int,					__UpperCAmelCase : Any      )     ->			None:

					"""simple docstring"""

					if index < 0 or index > len(self      ):
									raise IndexError('''list index out of range.'''      )
					SCREAMING_SNAKE_CASE  :						int      					= Node(__UpperCAmelCase      )
					if self.head is None:
									SCREAMING_SNAKE_CASE  :						List[Any]      					= new_node  # first node points itself
									SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= new_node
					elif index == 0:  # insert at head
									SCREAMING_SNAKE_CASE  :						str      					= self.head
									SCREAMING_SNAKE_CASE  :						str      					= new_node
					else:
									SCREAMING_SNAKE_CASE  :						List[str]      					= self.head
									for _ in range(index - 1      ):
													SCREAMING_SNAKE_CASE  :						Dict      					= temp.next
									SCREAMING_SNAKE_CASE  :						str      					= temp.next
									SCREAMING_SNAKE_CASE  :						Optional[int]      					= new_node
									if index == len(self      ) - 1:  # insert at tail
													SCREAMING_SNAKE_CASE  :						Tuple      					= new_node


	def 				lowercase__  (self : str      )     ->			str:

					"""simple docstring"""

					return self.delete_nth(0      )


	def 				lowercase__  (self : Dict      )     ->			Any:

					"""simple docstring"""

					return self.delete_nth(len(self      ) - 1      )


	def 				lowercase__  (self : List[str],					__UpperCAmelCase : int = 0      )     ->			Any:

					"""simple docstring"""

					if not 0 <= index < len(self      ):
									raise IndexError('''list index out of range.'''      )
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= self.head
					if self.head == self.tail:  # just one node
									SCREAMING_SNAKE_CASE  :						Tuple      					= None
					elif index == 0:  # delete head node
									SCREAMING_SNAKE_CASE  :						str      					= self.tail.next.next
									SCREAMING_SNAKE_CASE  :						str      					= self.head.next
					else:
									SCREAMING_SNAKE_CASE  :						str      					= self.head
									for _ in range(index - 1      ):
													SCREAMING_SNAKE_CASE  :						List[str]      					= temp.next
									SCREAMING_SNAKE_CASE  :						Optional[int]      					= temp.next
									SCREAMING_SNAKE_CASE  :						Any      					= temp.next.next
									if index == len(self      ) - 1:  # delete at tail
													SCREAMING_SNAKE_CASE  :						str      					= temp
					return delete_node.data






	def 				lowercase__  (self : Optional[Any]      )     ->			bool:

					"""simple docstring"""

					return len(self      ) == 0






def       __lowercase  ():
				SCREAMING_SNAKE_CASE  :						int      					= CircularLinkedList()
				assert len(_SCREAMING_SNAKE_CASE       ) == 0
				assert circular_linked_list.is_empty() is True
				assert str(_SCREAMING_SNAKE_CASE       ) == ""

				try:
								circular_linked_list.delete_front()
								raise AssertionError  # This should not happen
				except IndexError:
								assert True  # This should happen

				try:
								circular_linked_list.delete_tail()
								raise AssertionError  # This should not happen
				except IndexError:
								assert True  # This should happen

				try:
								circular_linked_list.delete_nth(-1       )
								raise AssertionError
				except IndexError:
								assert True

				try:
								circular_linked_list.delete_nth(0       )
								raise AssertionError
				except IndexError:
								assert True

				assert circular_linked_list.is_empty() is True
				for i in range(5       ):
								assert len(_SCREAMING_SNAKE_CASE       ) == i
								circular_linked_list.insert_nth(_SCREAMING_SNAKE_CASE    ,	i + 1       )
				assert str(_SCREAMING_SNAKE_CASE       ) == "->".join(str(_SCREAMING_SNAKE_CASE       ) for i in range(1    ,	6       )       )

				circular_linked_list.insert_tail(6       )
				assert str(_SCREAMING_SNAKE_CASE       ) == "->".join(str(_SCREAMING_SNAKE_CASE       ) for i in range(1    ,	7       )       )
				circular_linked_list.insert_head(0       )
				assert str(_SCREAMING_SNAKE_CASE       ) == "->".join(str(_SCREAMING_SNAKE_CASE       ) for i in range(0    ,	7       )       )

				assert circular_linked_list.delete_front() == 0
				assert circular_linked_list.delete_tail() == 6
				assert str(_SCREAMING_SNAKE_CASE       ) == "->".join(str(_SCREAMING_SNAKE_CASE       ) for i in range(1    ,	6       )       )
				assert circular_linked_list.delete_nth(2       ) == 3

				circular_linked_list.insert_nth(2    ,	3       )
				assert str(_SCREAMING_SNAKE_CASE       ) == "->".join(str(_SCREAMING_SNAKE_CASE       ) for i in range(1    ,	6       )       )

				assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
	import doctest

	doctest.testmod()









'''simple docstring'''

import inspect
import os
import unittest
from dataclasses import dataclass

import torch

from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
from accelerate.utils import KwargsHandler


@dataclass
class 	a__     (				_lowercase	):
	__magic_name__		:    int	    =     0
	__magic_name__		:    bool	    =     False
	__magic_name__		:    float	    =     3.0



class 	a__     (				unittest.TestCase	):


	def 				lowercase__  (self : str      )     ->			Union[str, Any]:

					"""simple docstring"""

					self.assertDictEqual(MockClass().to_kwargs(),					{}      )
					self.assertDictEqual(MockClass(a=2      ).to_kwargs(),					{'''a''': 2}      )
					self.assertDictEqual(MockClass(a=2,					b=__UpperCAmelCase      ).to_kwargs(),					{'''a''': 2, '''b''': True}      )
					self.assertDictEqual(MockClass(a=2,					c=2.25      ).to_kwargs(),					{'''a''': 2, '''c''': 2.25}      )


	@require_cuda
	def 				lowercase__  (self : Dict      )     ->			str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						List[str]      					= GradScalerKwargs(init_scale=1024,					growth_factor=2      )
					AcceleratorState._reset_state()
					SCREAMING_SNAKE_CASE  :						Tuple      					= Accelerator(mixed_precision='''fp16''',					kwargs_handlers=[scaler_handler]      )
					print(accelerator.use_fpaa      )
					SCREAMING_SNAKE_CASE  :						str      					= accelerator.scaler

					# Check the kwargs have been applied
					self.assertEqual(scaler._init_scale,					1024.0      )
					self.assertEqual(scaler._growth_factor,					2.0      )

					# Check the other values are at the default
					self.assertEqual(scaler._backoff_factor,					0.5      )
					self.assertEqual(scaler._growth_interval,					2000      )
					self.assertEqual(scaler._enabled,					__UpperCAmelCase      )






	@require_multi_gpu
	def 				lowercase__  (self : Optional[Any]      )     ->			Dict:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						str      					= ['''torchrun''', F'''--nproc_per_node={torch.cuda.device_count()}''', inspect.getfile(self.__class__      )]
					execute_subprocess_async(__UpperCAmelCase,					env=os.environ.copy()      )


if __name__ == "__main__":
	snake_case_			=     DistributedDataParallelKwargs(bucket_cap_mb=15, find_unused_parameters=True)
	snake_case_			=     Accelerator(kwargs_handlers=[ddp_scaler])
	snake_case_			=     torch.nn.Linear(100, 200)
	snake_case_			=     accelerator.prepare(model)

	# Check the values changed in kwargs
	snake_case_			=     """"""
	snake_case_			=     model.bucket_bytes_cap // (1024 * 1024)
	if observed_bucket_cap_map != 15:
		error_msg += f"Kwargs badly passed, should have `15` but found {observed_bucket_cap_map}.\n"
	if model.find_unused_parameters is not True:
		error_msg += f"Kwargs badly passed, should have `True` but found {model.find_unused_parameters}.\n"

	# Check the values of the defaults
	if model.dim != 0:
		error_msg += f"Default value not respected, should have `0` but found {model.dim}.\n"
	if model.broadcast_buffers is not True:
		error_msg += f"Default value not respected, should have `True` but found {model.broadcast_buffers}.\n"
	if model.gradient_as_bucket_view is not False:
		error_msg += f"Default value not respected, should have `False` but found {model.gradient_as_bucket_view}.\n"

	# Raise error at the end to make sure we don't stop at the first failure.
	if len(error_msg) > 0:
		raise ValueError(error_msg)




