




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


A__:  Tuple       					=					{
    'configuration_bark': [
        'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BarkCoarseConfig',
        'BarkConfig',
        'BarkFineConfig',
        'BarkSemanticConfig',
    ],
    'processing_bark': ['BarkProcessor'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A__:  Optional[Any]       					=					[
       'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BarkFineModel',
       'BarkSemanticModel',
       'BarkCoarseModel',
       'BarkModel',
       'BarkPreTrainedModel',
       'BarkCausalModel',
   ]

if TYPE_CHECKING:
   from .configuration_bark import (
       BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BarkCoarseConfig,
       BarkConfig,
       BarkFineConfig,
       BarkSemanticConfig,
   )
   from .processing_bark import BarkProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bark import (
          BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
          BarkCausalModel,
          BarkCoarseModel,
          BarkFineModel,
          BarkModel,
          BarkPreTrainedModel,
          BarkSemanticModel,
      )

else:
   import sys

   A__:  int       					=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








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    _a  :

      """simple docstring"""


      def 	UpperCAmelCase_   (						self:	int			):
          '''simple docstring'''


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

          UpperCamelCase__:					Tuple												=      self.model_class(**__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      model.init(inputs_dict["prng_key"]					,  inputs_dict["sample"]			)
          jax.lax.stop_gradient(__lowerCamelCase			)

          UpperCamelCase__:					int												=      model.apply(__lowerCamelCase					,  inputs_dict["sample"]			)

          if isinstance(__lowerCamelCase					,  __lowerCamelCase			):
              UpperCamelCase__:					str												=      output.sample

          self.assertIsNotNone(__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      inputs_dict["sample"].shape
          self.assertEqual(output.shape					,  __lowerCamelCase					,  "Input and output shapes do not match"			)






      def 	UpperCAmelCase_   (						self:	Union[str, Any]			):
          '''simple docstring'''


          UpperCamelCase__							,				UpperCamelCase__:					List[str]												=      self.prepare_init_args_and_inputs_for_common()

          UpperCamelCase__:					List[Any]												=      16
          UpperCamelCase__:					int												=      (16, 32)

          UpperCamelCase__:					Tuple												=      self.model_class(**__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      model.init(inputs_dict["prng_key"]					,  inputs_dict["sample"]			)
          jax.lax.stop_gradient(__lowerCamelCase			)

          UpperCamelCase__:					Union[str, Any]												=      model.apply(__lowerCamelCase					,  inputs_dict["sample"]			)

          if isinstance(__lowerCamelCase					,  __lowerCamelCase			):
              UpperCamelCase__:					Dict												=      output.sample

          self.assertIsNotNone(__lowerCamelCase			)
          UpperCamelCase__:					Optional[Any]												=      inputs_dict["sample"].shape
          self.assertEqual(output.shape					,  __lowerCamelCase					,  "Input and output shapes do not match"			)






      def 	UpperCAmelCase_   (						self:	Tuple			):
          '''simple docstring'''


          UpperCamelCase__:					List[str]												=      "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>]`"			)

