






"""simple docstring"""



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 						lowercase    (				__snake_case				: Tuple	):
		lowercase_ : Optional[int]							       =   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.'''	)
		lowercase_ : List[Any]							       =   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.'''	)

		lowercase_ : Tuple							       =   components[:-1] + [test_fn.replace('''.py'''		,					''''''	)]
		lowercase_ : List[str]							       =   '''.'''.join(lowerCAmelCase_	)

		return test_module_path



def 						lowercase    (				__snake_case				: List[str]	):
		lowercase_ : Any							       =   get_module_path(lowerCAmelCase_	)
		lowercase_ : Tuple							       =   importlib.import_module(lowerCAmelCase_	)

		return test_module



def 						lowercase    (				__snake_case				: Tuple	):
		lowercase_ : Optional[int]							       =   []
		lowercase_ : List[str]							       =   get_test_module(lowerCAmelCase_	)
		for attr in dir(lowerCAmelCase_	):
				if attr.endswith('''ModelTester'''	):
						tester_classes.append(getattr(lowerCAmelCase_		,					lowerCAmelCase_	)	)

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



def 						lowercase    (				__snake_case				: List[str]	):
		lowercase_ : Tuple							       =   []
		lowercase_ : Tuple							       =   get_test_module(lowerCAmelCase_	)
		for attr in dir(lowerCAmelCase_	):
				lowercase_ : Optional[Any]							       =   getattr(lowerCAmelCase_		,					lowerCAmelCase_	)
				# (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).
				lowercase_ : int							       =   getattr(lowerCAmelCase_		,					'''all_model_classes'''		,					[]	)
				if len(lowerCAmelCase_	) > 0:
						test_classes.append(lowerCAmelCase_	)

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



def 						lowercase    (				__snake_case				: Tuple	):
		lowercase_ : Optional[Any]							       =   get_test_classes(lowerCAmelCase_	)
		lowercase_ : str							       =   set()
		for test_class in test_classes:
				model_classes.update(test_class.all_model_classes	)

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



def 						lowercase    (				__snake_case				: Dict	):
		lowercase_ : Dict							       =   test_class()
		if hasattr(lowerCAmelCase_		,					'''setUp'''	):
				test.setUp()

		lowercase_ : Tuple							       =   None
		if hasattr(lowerCAmelCase_		,					'''model_tester'''	):
				# `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
				if test.model_tester is not None:
						lowercase_ : Union[str, Any]							       =   test.model_tester.__class__

		return model_tester



def 						lowercase    (				__snake_case				: str		,					__snake_case				: Optional[int]	):
		lowercase_ : List[Any]							       =   get_test_classes(lowerCAmelCase_	)

		lowercase_ : int							       =   []
		for test_class in test_classes:
				if model_class in test_class.all_model_classes:
						target_test_classes.append(lowerCAmelCase_	)

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



def 						lowercase    (				__snake_case				: Optional[Any]		,					__snake_case				: Union[str, Any]	):
		lowercase_ : List[str]							       =   get_test_classes_for_model(lowerCAmelCase_		,					lowerCAmelCase_	)

		lowercase_ : Dict							       =   []
		for test_class in test_classes:
				lowercase_ : str							       =   get_model_tester_from_test_class(lowerCAmelCase_	)
				if tester_class is not None:
						tester_classes.append(lowerCAmelCase_	)

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



def 						lowercase    (				__snake_case				: List[str]	):
		lowercase_ : Tuple							       =   get_test_classes(lowerCAmelCase_	)
		lowercase_ : Any							       =   {test_class: get_model_tester_from_test_class(lowerCAmelCase_	) for test_class in test_classes}
		return test_tester_mapping



def 						lowercase    (				__snake_case				: Any	):
		lowercase_ : List[Any]							       =   get_model_classes(lowerCAmelCase_	)
		lowercase_ : int							       =   {
		    model_class: get_test_classes_for_model(lowerCAmelCase_		,					lowerCAmelCase_	) for model_class in model_classes
		}
		return model_test_mapping



def 						lowercase    (				__snake_case				: Union[str, Any]	):
		lowercase_ : Union[str, Any]							       =   get_model_classes(lowerCAmelCase_	)
		lowercase_ : Any							       =   {
		    model_class: get_tester_classes_for_model(lowerCAmelCase_		,					lowerCAmelCase_	) for model_class in model_classes
		}
		return model_to_tester_mapping






def 						lowercase    (				__snake_case				: int	):


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







"""simple docstring"""







from PIL import Image




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				image.size
					__SCREAMING_SNAKE_CASE						   =				0
					__SCREAMING_SNAKE_CASE						   =				image.load()
					for i in range(lowerCAmelCase_   ):
										for j in range(lowerCAmelCase_   ):
															__SCREAMING_SNAKE_CASE						   =				pixels[j, i]
															mean += pixel
					mean //= width * height

					for j in range(lowerCAmelCase_   ):
										for i in range(lowerCAmelCase_   ):
															__SCREAMING_SNAKE_CASE						   =				255 if pixels[i, j] > mean else 0
					return image


if __name__ == "__main__":
		a__				:							List[str]						=     mean_threshold(Image.open('''path_to_image''').convert('''L'''))
		image.save('''output_image_path''')
