
"""simple docstring"""


from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url






@pytest.mark.parametrize('repo_id'		,					['canonical_dataset_name', 'org-name/dataset-name']   )
@pytest.mark.parametrize('path'		,					['filename.csv', 'filename with blanks.csv']   )
@pytest.mark.parametrize('revision'		,					[None, 'v2']   )
def 					_snake_case (						snake_case__      :   Any		,					snake_case__      :   str		,					snake_case__      :   Dict   ):
	A        =      hf_hub_url(repo_id=snake_case__		,					path=snake_case__		,					revision=snake_case__   )
	assert url == F'https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(snake_case__   )}'

"""simple docstring"""




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 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



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



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       List[Any]           =   torch.nn.Linear(10   ,       10    )
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   torch.optim.SGD(model.parameters()   ,       0.1    )
											SCREAMING_SNAKE_CASE__						:       int           =   Accelerator()
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   accelerator.prepare(SCREAMING_SNAKE_CASE__    )
											try:
																		pickle.loads(pickle.dumps(SCREAMING_SNAKE_CASE__    )    )
											except Exception as e:
																		self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
											AcceleratorState._reset_state()




