
import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu



@require_cpu
class 		UpperCamelCase__  (	unittest.TestCase   ):
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  List[Any]		    =  torch.nn.Linear(1_0 ,    1_0       )
    __a			:  Optional[int]		    =  torch.optim.SGD(model.parameters() ,    0.1       )
    __a			:  Union[str, Any]		    =  Accelerator()
    __a			:  Dict		    =  accelerator.prepare(snake_case_       )
    try:
     pickle.loads(pickle.dumps(snake_case_       )       )
    except Exception as e:
     self.fail(f"Accelerated optimizer pickling failed with {e}"       )
    AcceleratorState._reset_state()


from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
