code: 
  
  
  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 				__SCREAMING_SNAKE_CASE   :
  
  
        def        __lowerCamelCase			(							self		):
              lowercase   ,			lowercase			:   Any					   =		self.prepare_init_args_and_inputs_for_common()
  
              lowercase			:   Tuple					   =		self.model_class(**SCREAMING_SNAKE_CASE__		)
              lowercase			:   int					   =		model.init(inputs_dict['''prng_key''']							,						inputs_dict['''sample''']		)
              jax.lax.stop_gradient(SCREAMING_SNAKE_CASE__		)
  
              lowercase			:   List[Any]					   =		model.apply(SCREAMING_SNAKE_CASE__							,						inputs_dict['''sample''']		)
  
              if isinstance(SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__		):
                    lowercase			:   Optional[int]					   =		output.sample
  
              self.assertIsNotNone(SCREAMING_SNAKE_CASE__		)
              lowercase			:   Dict					   =		inputs_dict['''sample'''].shape
              self.assertEqual(output.shape							,						SCREAMING_SNAKE_CASE__							,						'''Input and output shapes do not match'''		)
  
  
        def        __lowerCamelCase			(							self		):
              lowercase   ,			lowercase			:   Optional[Any]					   =		self.prepare_init_args_and_inputs_for_common()
  
              lowercase			:   str					   =		16
              lowercase			:   str					   =		(16, 32)
  
              lowercase			:   List[str]					   =		self.model_class(**SCREAMING_SNAKE_CASE__		)
              lowercase			:   str					   =		model.init(inputs_dict['''prng_key''']							,						inputs_dict['''sample''']		)
              jax.lax.stop_gradient(SCREAMING_SNAKE_CASE__		)
  
              lowercase			:   Union[str, Any]					   =		model.apply(SCREAMING_SNAKE_CASE__							,						inputs_dict['''sample''']		)
  
              if isinstance(SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__		):
                    lowercase			:   Any					   =		output.sample
  
              self.assertIsNotNone(SCREAMING_SNAKE_CASE__		)
              lowercase			:   Optional[Any]					   =		inputs_dict['''sample'''].shape
              self.assertEqual(output.shape							,						SCREAMING_SNAKE_CASE__							,						'''Input and output shapes do not match'''		)
  
  
  
  
  
  
        def        __lowerCamelCase			(							self		):
              lowercase			:   List[str]					   =		'''kwargs''' in inspect.signature(self.model_class.__init__		).parameters
              lowercase			:   Optional[Any]					   =		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>]`'''		)
  
  
style_context: 
  
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      is_torch_available,
      is_transformers_available,
      is_transformers_version,
  )
  
  
  try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        AudioLDMPipeline,
    )
  else:
    from .pipeline_audioldm import AudioLDMPipeline
  
  