






import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Union[str, Any]    )						->      List[Any]:





    """simple docstring"""

    __A         =	test_file.split(os.path.sep    )
    if components[0:2] != ["tests", "models"]:
        raise ValueError(
            """`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got """
            f"{test_file} instead."    )
    __A         =	components[-1]
    if not test_fn.endswith("""py"""    ):
        raise ValueError(f"`test_file` should be a python file. Got {test_fn} instead."    )
    if not test_fn.startswith("""test_modeling_"""    ):
        raise ValueError(
            f"`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."    )

    __A         =	components[:-1] + [test_fn.replace(""".py"""			,				""""""    )]
    __A         =	""".""".join(__lowercase    )

    return test_module_path



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			int    )						->      List[str]:





    """simple docstring"""

    __A         =	get_module_path(__lowercase    )
    __A         =	importlib.import_module(__lowercase    )

    return test_module



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]    )						->      Dict:





    """simple docstring"""

    __A         =	[]
    __A         =	get_test_module(__lowercase    )
    for attr in dir(__lowercase    ):
        if attr.endswith("""ModelTester"""    ):
            tester_classes.append(getattr(__lowercase			,				__lowercase    )    )

    # sort with class names
    return sorted(__lowercase			,				key=lambda __lowercase    : x.__name__    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]    )						->      List[Any]:





    """simple docstring"""

    __A         =	[]
    __A         =	get_test_module(__lowercase    )
    for attr in dir(__lowercase    ):
        __A         =	getattr(__lowercase			,				__lowercase    )
        # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
        # `all_model_classes` is not empty (which also excludes other special classes).
        __A         =	getattr(__lowercase			,				"""all_model_classes"""			,				[]    )
        if len(__lowercase    ) > 0:
            test_classes.append(__lowercase    )

    # sort with class names
    return sorted(__lowercase			,				key=lambda __lowercase    : x.__name__    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict    )						->      Optional[Any]:





    """simple docstring"""

    __A         =	get_test_classes(__lowercase    )
    __A         =	set()
    for test_class in test_classes:
        model_classes.update(test_class.all_model_classes    )

    # sort with class names
    return sorted(__lowercase			,				key=lambda __lowercase    : x.__name__    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]    )						->      int:





    """simple docstring"""

    __A         =	test_class()
    if hasattr(__lowercase			,				"""setUp"""    ):
        test.setUp()

    __A         =	None
    if hasattr(__lowercase			,				"""model_tester"""    ):
        # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
        if test.model_tester is not None:
            __A         =	test.model_tester.__class__

    return model_tester



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str			,				__lowercase   :			Dict    )						->      Union[str, Any]:





    """simple docstring"""

    __A         =	get_test_classes(__lowercase    )

    __A         =	[]
    for test_class in test_classes:
        if model_class in test_class.all_model_classes:
            target_test_classes.append(__lowercase    )

    # sort with class names
    return sorted(__lowercase			,				key=lambda __lowercase    : x.__name__    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str			,				__lowercase   :			List[Any]    )						->      Any:





    """simple docstring"""

    __A         =	get_test_classes_for_model(__lowercase			,				__lowercase    )

    __A         =	[]
    for test_class in test_classes:
        __A         =	get_model_tester_from_test_class(__lowercase    )
        if tester_class is not None:
            tester_classes.append(__lowercase    )

    # sort with class names
    return sorted(__lowercase			,				key=lambda __lowercase    : x.__name__    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]    )						->      List[Any]:





    """simple docstring"""

    __A         =	get_test_classes(__lowercase    )
    __A         =	{test_class: get_model_tester_from_test_class(__lowercase    ) for test_class in test_classes}
    return test_tester_mapping



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict    )						->      List[str]:





    """simple docstring"""

    __A         =	get_model_classes(__lowercase    )
    __A         =	{
        model_class: get_test_classes_for_model(__lowercase			,				__lowercase    ) for model_class in model_classes
    }
    return model_test_mapping



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str    )						->      Optional[int]:





    """simple docstring"""

    __A         =	get_model_classes(__lowercase    )
    __A         =	{
        model_class: get_tester_classes_for_model(__lowercase			,				__lowercase    ) for model_class in model_classes
    }
    return model_to_tester_mapping






def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]    )						->      Union[str, Any]:





    """simple docstring"""

    if isinstance(__lowercase			,				__lowercase    ):
        return o
    elif isinstance(__lowercase			,				__lowercase    ):
        return o.__name__
    elif isinstance(__lowercase			,				(list, tuple)    ):
        return [to_json(__lowercase    ) for x in o]
    elif isinstance(__lowercase			,				__lowercase    ):
        return {to_json(__lowercase    ): to_json(__lowercase    ) for k, v in o.items()}
    else:
        return o












from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import (
      ImageTextPipelineOutput,
      UniDiffuserPipeline,
  )
else:
  from .modeling_text_decoder import UniDiffuserTextDecoder
  from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
  from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline




