'''simple docstring'''




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      lowerCamelCase_     :
      '''simple docstring'''

      def 					_A     (	self						:    Tuple	):
             _UpperCAmelCase				,  _UpperCAmelCase					:  Union[str, Any]											=   self.prepare_init_args_and_inputs_for_common()

             _UpperCAmelCase					:  int											=   self.model_class(**A	)
             _UpperCAmelCase					:  Union[str, Any]											=   model.init(inputs_dict["prng_key"]						, inputs_dict["sample"]	)
             jax.lax.stop_gradient(A	)

             _UpperCAmelCase					:  List[str]											=   model.apply(A						, inputs_dict["sample"]	)

             if isinstance(A						, A	):
                    _UpperCAmelCase					:  int											=   output.sample

             self.assertIsNotNone(A	)
             _UpperCAmelCase					:  str											=   inputs_dict["sample"].shape
             self.assertEqual(output.shape						, A						, "Input and output shapes do not match"	)




      def 					_A     (	self						:    Dict	):
             _UpperCAmelCase				,  _UpperCAmelCase					:  str											=   self.prepare_init_args_and_inputs_for_common()

             _UpperCAmelCase					:  Optional[Any]											=   16
             _UpperCAmelCase					:  int											=   (16, 32)

             _UpperCAmelCase					:  Tuple											=   self.model_class(**A	)
             _UpperCAmelCase					:  int											=   model.init(inputs_dict["prng_key"]						, inputs_dict["sample"]	)
             jax.lax.stop_gradient(A	)

             _UpperCAmelCase					:  int											=   model.apply(A						, inputs_dict["sample"]	)

             if isinstance(A						, A	):
                    _UpperCAmelCase					:  List[Any]											=   output.sample

             self.assertIsNotNone(A	)
             _UpperCAmelCase					:  Dict											=   inputs_dict["sample"].shape
             self.assertEqual(output.shape						, A						, "Input and output shapes do not match"	)





      def 					_A     (	self						:    Dict	):
             _UpperCAmelCase					:  Union[str, Any]											=   "kwargs" in inspect.signature(self.model_class.__init__	).parameters
             _UpperCAmelCase					:  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>]`"	)


'''simple docstring'''




import warnings

from .generation import FlaxGenerationMixin

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

      warnings.warn(
          "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
          "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."							,			snake_case__							,			)

