


import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
				import jax







@require_flax
class      __lowercase  :





							"""simple docstring"""







							def  UpperCamelCase__			(	self    ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_						:			Tuple       						= self.prepare_init_args_and_inputs_for_common()

										SCREAMING_SNAKE_CASE_						:			Optional[int]       						= self.model_class(**lowerCAmelCase__    )
										SCREAMING_SNAKE_CASE_						:			Any       						= model.init(inputs_dict['prng_key']       ,		inputs_dict['sample']    )
										jax.lax.stop_gradient(lowerCAmelCase__    )

										SCREAMING_SNAKE_CASE_						:			str       						= model.apply(lowerCAmelCase__       ,		inputs_dict['sample']    )

										if isinstance(lowerCAmelCase__       ,		lowerCAmelCase__    ):
													SCREAMING_SNAKE_CASE_						:			int       						= output.sample

										self.assertIsNotNone(lowerCAmelCase__    )
										SCREAMING_SNAKE_CASE_						:			str       						= inputs_dict['sample'].shape
										self.assertEqual(output.shape       ,		lowerCAmelCase__       ,		'Input and output shapes do not match'    )






							def  UpperCamelCase__			(	self    ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_						:			Optional[int]       						= self.prepare_init_args_and_inputs_for_common()

										SCREAMING_SNAKE_CASE_						:			Tuple       						= 1_6
										SCREAMING_SNAKE_CASE_						:			Optional[int]       						= (1_6, 3_2)

										SCREAMING_SNAKE_CASE_						:			Dict       						= self.model_class(**lowerCAmelCase__    )
										SCREAMING_SNAKE_CASE_						:			Dict       						= model.init(inputs_dict['prng_key']       ,		inputs_dict['sample']    )
										jax.lax.stop_gradient(lowerCAmelCase__    )

										SCREAMING_SNAKE_CASE_						:			Any       						= model.apply(lowerCAmelCase__       ,		inputs_dict['sample']    )

										if isinstance(lowerCAmelCase__       ,		lowerCAmelCase__    ):
													SCREAMING_SNAKE_CASE_						:			str       						= output.sample

										self.assertIsNotNone(lowerCAmelCase__    )
										SCREAMING_SNAKE_CASE_						:			str       						= inputs_dict['sample'].shape
										self.assertEqual(output.shape       ,		lowerCAmelCase__       ,		'Input and output shapes do not match'    )






							def  UpperCamelCase__			(	self    ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_						:			List[str]       						= 'kwargs' in inspect.signature(self.model_class.__init__    ).parameters
										SCREAMING_SNAKE_CASE_						:			Dict       						= len(self.model_class._deprecated_kwargs    ) > 0

										if has_kwarg_in_model_class and not has_deprecated_kwarg:
													raise ValueError(
													    F'''{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs'''
													    ' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'
													    ' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='
													    ' [<deprecated_argument>]`'    )

										if not has_kwarg_in_model_class and has_deprecated_kwarg:
													raise ValueError(
													    F'''{self.model_class} doesn\'t have `**kwargs` in its __init__ method but has defined deprecated kwargs'''
													    ' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'
													    F''' {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument'''
													    ' from `_deprecated_kwargs = [<deprecated_argument>]`'    )








from typing import Callable




def        lowerCAmelCase(	SCREAMING_SNAKE_CASE_       )->		List[Any]:



    """simple docstring"""






    def wrapper(SCREAMING_SNAKE_CASE_       ):
        UpperCamelCase_          =		function_with_docstring.__doc__
        return target_function

    return wrapper
