



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 		lowerCAmelCase__     (       UpperCamelCase_					:							Dict						)->	str:
    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(UpperCamelCase_						)

    return test_module_path



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Tuple						)->	List[Any]:
    A__					=       get_module_path(UpperCamelCase_						)
    A__					=       importlib.import_module(UpperCamelCase_						)

    return test_module



def 		lowerCAmelCase__     (       UpperCamelCase_					:							str						)->	List[Any]:
    A__					=       []
    A__					=       get_test_module(UpperCamelCase_						)
    for attr in dir(UpperCamelCase_						):
        if attr.endswith('''ModelTester'''						):
            tester_classes.append(getattr(UpperCamelCase_			,							UpperCamelCase_						)						)

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Optional[int]						)->	Dict:
    A__					=       []
    A__					=       get_test_module(UpperCamelCase_						)
    for attr in dir(UpperCamelCase_						):
        A__					=       getattr(UpperCamelCase_			,							UpperCamelCase_						)
        # (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(UpperCamelCase_			,							'''all_model_classes'''			,							[]						)
        if len(UpperCamelCase_						) > 0:
            test_classes.append(UpperCamelCase_						)

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							int						)->	str:
    A__					=       get_test_classes(UpperCamelCase_						)
    A__					=       set()
    for test_class in test_classes:
        model_classes.update(test_class.all_model_classes						)

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							str						)->	Any:
    A__					=       test_class()
    if hasattr(UpperCamelCase_			,							'''setUp'''						):
        test.setUp()

    A__					=       None
    if hasattr(UpperCamelCase_			,							'''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 		lowerCAmelCase__     (       UpperCamelCase_					:							Tuple			,							UpperCamelCase_					:							Optional[int]						)->	List[Any]:
    A__					=       get_test_classes(UpperCamelCase_						)

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

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Dict			,							UpperCamelCase_					:							str						)->	List[Any]:
    A__					=       get_test_classes_for_model(UpperCamelCase_			,							UpperCamelCase_						)

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

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							List[Any]						)->	Optional[int]:
    A__					=       get_test_classes(UpperCamelCase_						)
    A__					=       {test_class: get_model_tester_from_test_class(UpperCamelCase_						) for test_class in test_classes}
    return test_tester_mapping



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Tuple						)->	Tuple:
    A__					=       get_model_classes(UpperCamelCase_						)
    A__					=       {
        model_class: get_test_classes_for_model(UpperCamelCase_			,							UpperCamelCase_						) for model_class in model_classes
    }
    return model_test_mapping



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Optional[int]						)->	Optional[Any]:
    A__					=       get_model_classes(UpperCamelCase_						)
    A__					=       {
        model_class: get_tester_classes_for_model(UpperCamelCase_			,							UpperCamelCase_						) for model_class in model_classes
    }
    return model_to_tester_mapping



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Tuple						)->	List[Any]:
    if isinstance(UpperCamelCase_			,							UpperCamelCase_						):
        return o
    elif isinstance(UpperCamelCase_			,							UpperCamelCase_						):
        return o.__name__
    elif isinstance(UpperCamelCase_			,							(list, tuple)						):
        return [to_json(UpperCamelCase_						) for x in o]
    elif isinstance(UpperCamelCase_			,							UpperCamelCase_						):
        return {to_json(UpperCamelCase_						): to_json(UpperCamelCase_						) for k, v in o.items()}
    else:
        return o





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase    	=		{
    "configuration_upernet": ["UperNetConfig"],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase    	=		[
       "UperNetForSemanticSegmentation",
       "UperNetPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_upernet import UperNetConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel


else:
   import sys

   _lowercase    	=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
