import os

import pytest

from transformers.dynamic_module_utils import get_imports


SCREAMING_SNAKE_CASE			:						List[str]				  =		"""
import os
"""

SCREAMING_SNAKE_CASE			:						Dict				  =		"""
def foo():
    import os
    return False
"""

SCREAMING_SNAKE_CASE			:						Dict				  =		"""
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
"""

SCREAMING_SNAKE_CASE			:						str				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Tuple				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Tuple				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						str				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Tuple				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Tuple				  =		"""
import os

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

SCREAMING_SNAKE_CASE			:						Dict				  =		[
    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"				,					_A       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


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

 __a							=	get_imports(_A       )
 assert parsed_imports == ["os"]



from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


SCREAMING_SNAKE_CASE			:						int				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						Any				  =		"""T5Config"""
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """mt5"""
  _SCREAMING_SNAKE_CASE     					=      MTaConfig


