




'''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_    (  a__						:      Any       ,a__						:      List[Any] = 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_    (  a__						:      str = None       ,a__						:      List[str] = None     ):



    """simple docstring"""




    if rng_type == RNGType.TORCH:
        __lowercase     							=		torch.get_rng_state()
    elif rng_type == RNGType.CUDA:
        __lowercase     							=		torch.cuda.get_rng_state()
    elif rng_type == RNGType.XLA:
        assert is_tpu_available(), "Can't synchronize XLA seeds on an environment without TPUs."
        __lowercase     							=		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."
        __lowercase     							=		torch.npu.get_rng_state()
    elif rng_type == RNGType.XPU:
        assert is_xpu_available(), "Can't synchronize XPU seeds on an environment without XPUs."
        __lowercase     							=		torch.xpu.get_rng_state()
    elif rng_type == RNGType.GENERATOR:
        assert generator is not None, "Need a generator to synchronize its seed."
        __lowercase     							=		generator.get_state()

    # Broadcast the rng state from device 0 to other devices
    __lowercase     							=		AcceleratorState()
    if state.distributed_type == DistributedType.TPU:
        __lowercase     							=		rng_state.to(xm.xla_device()     )
        xm.collective_broadcast([rng_state]     )
        xm.mark_step()
        __lowercase     							=		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
    ):
        __lowercase     							=		rng_state.to(state.device     )
        torch.distributed.broadcast(lowerCamelCase_       ,0     )
        __lowercase     							=		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_    (  a__						:      Any       ,a__						:      Union[str, Any] = None     ):



    """simple docstring"""




    for rng_type in rng_types:
        synchronize_rng_state(RNGType(lowerCamelCase_     )       ,generator=lowerCamelCase_     )












"""simple docstring"""







from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class 							_SCREAMING_SNAKE_CASE    :





							"""simple docstring"""





							def __init__( self:  Optional[int]					,		__A:  Any     ):

												'''simple docstring'''

												a__ 							=	data
												a__ 							=	None





							def __str__( self:  str     ):

												'''simple docstring'''

												return F'{self.data}'







class 							_SCREAMING_SNAKE_CASE    :





							"""simple docstring"""





							def __init__( self:  int     ):

												'''simple docstring'''

												a__ 							=	None
												a__ 							=	None




							def __iter__( self:  Tuple     ):

												'''simple docstring'''

												a__ 							=	self.front
												while node:
																	yield node.data
																	a__ 							=	node.next




							def __len__( self:  Union[str, Any]     ):

												'''simple docstring'''

												return len(tuple(iter(self     )     )     )




							def __str__( self:  Any     ):

												'''simple docstring'''

												return " <- ".join(str(__A     ) for item in self     )




							def 			lowercase		( self:  Any     ):

												'''simple docstring'''

												return len(self     ) == 0




							def 			lowercase		( self:  Tuple					,		__A:  Any     ):

												'''simple docstring'''

												a__ 							=	Node(__A     )
												if self.is_empty():
																	a__ 							=	a__ 							=	node
												else:
																	assert isinstance(self.rear					,		__A     )
																	a__ 							=	node
																	a__ 							=	node




							def 			lowercase		( self:  List[Any]     ):

												'''simple docstring'''

												if self.is_empty():
																	raise IndexError('''dequeue from empty queue'''     )
												assert isinstance(self.front					,		__A     )
												a__ 							=	self.front
												a__ 							=	self.front.next
												if self.front is None:
																	a__ 							=	None
												return node.data





							def 			lowercase		( self:  Dict     ):

												'''simple docstring'''

												a__ 							=	a__ 							=	None


if __name__ == "__main__":
	from doctest import testmod

	testmod()


