import os

import pytest

from transformers.dynamic_module_utils import get_imports


UpperCAmelCase_								=							'''
import os
'''

UpperCAmelCase_								=							'''
def foo():
    import os
    return False
'''

UpperCAmelCase_								=							'''
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
except ImportError:
    raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
except:
    raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
'''

UpperCAmelCase_								=							'''
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
'''

UpperCAmelCase_								=							[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]

@pytest.mark.parametrize('case'       ,					lowerCAmelCase_   )
def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_   )		->						Union[str, Any]:




       '''simple docstring'''






       _A=	os.path.join(lowerCAmelCase_       ,					'test_file.py'   )
       with open(lowerCAmelCase_       ,					'w'   ) as _tmp_file:
              _tmp_file.write(lowerCAmelCase_   )

       _A=	get_imports(lowerCAmelCase_   )
       assert parsed_imports == ["os"]
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			):



     def 			a__  (					self       ):
            _A=	torch.nn.Linear(10				,      10       )
            _A=	torch.optim.SGD(model.parameters()				,      0.1       )
            _A=	Accelerator()
            _A=	accelerator.prepare(lowerCAmelCase__       )
            try:
                   pickle.loads(pickle.dumps(lowerCAmelCase__       )       )
            except Exception as e:
                   self.fail(f"Accelerated optimizer pickling failed with {e}"       )
            AcceleratorState._reset_state()