



"""simple docstring"""






import random
from typing import List, Optional, Union

import numpy as np
import torch

from ..state import AcceleratorState
from .constants import CUDA_DISTRIBUTED_TYPES
from .dataclasses import DistributedType, RNGType
from .imports import is_npu_available, is_tpu_available, is_xpu_available


if is_tpu_available(check_device=False):
		import torch_xla.core.xla_model as xm






def 	snake_case__  (						__lowerCamelCase							:       int				,						__lowerCamelCase							:       bool = False      ):
			"""simple docstring"""
			if device_specific:
						seed += AcceleratorState().process_index
			random.seed(__lowerCamelCase      )
			np.random.seed(__lowerCamelCase      )
			torch.manual_seed(__lowerCamelCase      )
			if is_xpu_available():
						torch.xpu.manual_seed_all(__lowerCamelCase      )
			elif is_npu_available():
						torch.npu.manual_seed_all(__lowerCamelCase      )
			else:
						torch.cuda.manual_seed_all(__lowerCamelCase      )
			# ^^ safe to call this function even if cuda is not available
			if is_tpu_available():
						xm.set_rng_state(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       Optional[RNGType] = None				,						__lowerCamelCase							:       Optional[torch.Generator] = None      ):
			"""simple docstring"""
			# Get the proper rng state
			if rng_type == RNGType.TORCH:
						lowerCamelCase__						:						Dict						      =torch.get_rng_state()
			elif rng_type == RNGType.CUDA:
						lowerCamelCase__						:						Optional[Any]						      =torch.cuda.get_rng_state()
			elif rng_type == RNGType.XLA:
						assert is_tpu_available(), "Can't synchronize XLA seeds on an environment without TPUs."
						lowerCamelCase__						:						Any						      =torch.tensor(xm.get_rng_state()      )
			elif rng_type == RNGType.NPU:
						assert is_npu_available(), "Can't synchronize NPU seeds on an environment without NPUs."
						lowerCamelCase__						:						List[str]						      =torch.npu.get_rng_state()
			elif rng_type == RNGType.XPU:
						assert is_xpu_available(), "Can't synchronize XPU seeds on an environment without XPUs."
						lowerCamelCase__						:						Dict						      =torch.xpu.get_rng_state()
			elif rng_type == RNGType.GENERATOR:
						assert generator is not None, "Need a generator to synchronize its seed."
						lowerCamelCase__						:						Union[str, Any]						      =generator.get_state()

			# Broadcast the rng state from device 0 to other devices
			lowerCamelCase__						:						Tuple						      =AcceleratorState()
			if state.distributed_type == DistributedType.TPU:
						lowerCamelCase__						:						Any						      =rng_state.to(xm.xla_device()      )
						xm.collective_broadcast([rng_state]      )
						xm.mark_step()
						lowerCamelCase__						:						int						      =rng_state.cpu()
			elif (
			    state.distributed_type in CUDA_DISTRIBUTED_TYPES
			    or state.distributed_type == DistributedType.MULTI_NPU
			    or state.distributed_type == DistributedType.MULTI_XPU
			):
						lowerCamelCase__						:						Optional[Any]						      =rng_state.to(state.device      )
						torch.distributed.broadcast(__lowerCamelCase				,						0      )
						lowerCamelCase__						:						List[Any]						      =rng_state.cpu()
			elif state.distributed_type == DistributedType.MULTI_CPU:
						torch.distributed.broadcast(__lowerCamelCase				,						0      )

			# Set the broadcast rng state
			if rng_type == RNGType.TORCH:
						torch.set_rng_state(__lowerCamelCase      )
			elif rng_type == RNGType.CUDA:
						torch.cuda.set_rng_state(__lowerCamelCase      )
			elif rng_type == RNGType.NPU:
						torch.npu.set_rng_state(__lowerCamelCase      )
			elif rng_type == RNGType.XPU:
						torch.xpu.set_rng_state(__lowerCamelCase      )
			elif rng_type == RNGType.XLA:
						xm.set_rng_state(rng_state.item()      )
			elif rng_type == RNGType.GENERATOR:
						generator.set_state(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       List[Union[str, RNGType]]				,						__lowerCamelCase							:       Optional[torch.Generator] = None      ):
			"""simple docstring"""
			for rng_type in rng_types:
						synchronize_rng_state(RNGType(__lowerCamelCase      )				,						generator=__lowerCamelCase      )











from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class  _a  :






							"""simple docstring"""

							snake_case_							=    ("_front", "_back", "_len")



							@dataclass
							class  _a  :






														"""simple docstring"""

														snake_case_							=    None
														snake_case_							=    None
														snake_case_							=    None







							class  _a  :






														"""simple docstring"""

														snake_case_							=    ("_cur",)

														def __init__(   self					:  Tuple				,						a					:  Deque._Node | None     )						->None:
																				SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       cur

														def __iter__(   self					:  Dict     )						->Deque._Iterator:
																				return self






														def   A_	(   self					:  int     )						->Any:
																				if self._cur is None:
																										# finished iterating
																										raise StopIteration
																				SCREAMING_SNAKE_CASE__  :					Tuple =       self._cur.val
																				SCREAMING_SNAKE_CASE__  :					int =       self._cur.next_node

																				return val







							def __init__(   self					:  str				,						a					:  Iterable[Any] | None = None     )						->None:
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					int =       0

													if iterable is not None:
																			# append every value to the deque
																			for val in iterable:
																									self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					int =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       node
																			SCREAMING_SNAKE_CASE__  :					Any =       self._back
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node  # assign new back to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  List[str]				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					str =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Any =       self._front
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node
																			SCREAMING_SNAKE_CASE__  :					int =       node  # assign new front to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  Dict				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.appendleft(a     )

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._back
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					Any =       self._front
													SCREAMING_SNAKE_CASE__  :					Dict =       self._front.next_node  # set new front and drop the first node
													SCREAMING_SNAKE_CASE__  :					Dict =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  str     )						->bool:
													return self._front is None

							def __len__(   self					:  List[str]     )						->int:
													return self._len

							def __eq__(   self					:  List[Any]				,						a					:  object     )						->bool:

													if not isinstance(a				,						a     ):
																			return NotImplemented

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._front
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self     ) != len(a     ):
																			return False

													while me is not None and oth is not None:
																			# compare every value
																			if me.val != oth.val:
																									return False
																			SCREAMING_SNAKE_CASE__  :					Any =       me.next_node
																			SCREAMING_SNAKE_CASE__  :					Any =       oth.next_node

													return True

							def __iter__(   self					:  Any     )						->Deque._Iterator:
													return Deque._Iterator(self._front     )






							def __repr__(   self					:  Any     )						->str:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       []
													SCREAMING_SNAKE_CASE__  :					int =       self._front
													while aux is not None:
																			# append the values in a list to display
																			values_list.append(aux.val     )
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       aux.next_node

													return f"""[{', '.join(repr(a     ) for val in values_list     )}]"""


if __name__ == "__main__":
				import doctest

				doctest.testmod()