

"""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  __a				:





							"""simple docstring"""


							def  SCREAMING_SNAKE_CASE_  (      self      ):





								"""simple docstring"""

								lowerCAmelCase__      :							int    =							self.prepare_init_args_and_inputs_for_common()

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

								lowerCAmelCase__      :							Optional[Any]    =							model.apply(snake_case ,				inputs_dict["sample"]      )

								if isinstance(snake_case ,				snake_case      ):
									lowerCAmelCase__      :							Optional[Any]    =							output.sample

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






							def  SCREAMING_SNAKE_CASE_  (      self      ):





								"""simple docstring"""

								lowerCAmelCase__      :							Optional[Any]    =							self.prepare_init_args_and_inputs_for_common()

								lowerCAmelCase__      :							List[Any]    =							16
								lowerCAmelCase__      :							Union[str, Any]    =							(16, 32)

								lowerCAmelCase__      :							Dict    =							self.model_class(**snake_case      )
								lowerCAmelCase__      :							Optional[Any]    =							model.init(inputs_dict["prng_key"] ,				inputs_dict["sample"]      )
								jax.lax.stop_gradient(snake_case      )

								lowerCAmelCase__      :							Dict    =							model.apply(snake_case ,				inputs_dict["sample"]      )

								if isinstance(snake_case ,				snake_case      ):
									lowerCAmelCase__      :							Dict    =							output.sample

								self.assertIsNotNone(snake_case      )
								lowerCAmelCase__      :							int    =							inputs_dict["sample"].shape
								self.assertEqual(output.shape ,				snake_case ,				"Input and output shapes do not match"      )






							def  SCREAMING_SNAKE_CASE_  (      self      ):





								"""simple docstring"""

								lowerCAmelCase__      :							Optional[Any]    =							"kwargs" in inspect.signature(self.model_class.__init__      ).parameters
								lowerCAmelCase__      :							List[str]    =							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 torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest






class  __a				(	__magic_name__					):





       """simple docstring"""


       __UpperCamelCase				:			Optional[int]          =	(VQDiffusionScheduler,)






       def  SCREAMING_SNAKE_CASE_  (      self ,				**snake_case      ):





        """simple docstring"""

        lowerCAmelCase__      :							str    =							{
            "num_vec_classes": 4_097,
            "num_train_timesteps": 100,
        }

        config.update(**snake_case      )
        return config






       def  SCREAMING_SNAKE_CASE_  (      self ,				snake_case      ):





        """simple docstring"""

        lowerCAmelCase__      :							Optional[int]    =							4
        lowerCAmelCase__      :							Optional[Any]    =							8
        lowerCAmelCase__      :							Union[str, Any]    =							8

        lowerCAmelCase__      :							Optional[Any]    =							torch.randint(0 ,				snake_case ,				(batch_size, height * width)      )

        return sample






       @property
       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        assert False






       def  SCREAMING_SNAKE_CASE_  (      self ,				snake_case      ):





        """simple docstring"""

        def model(snake_case ,				snake_case ,				*snake_case      ):
         lowerCAmelCase__ ,	lowerCAmelCase__      :							str    =							sample.shape
         lowerCAmelCase__      :							Dict    =							torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)      )
         lowerCAmelCase__      :							int    =							F.log_softmax(logits.double() ,				dim=1      ).float()
         return return_value

        return model






       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        for timesteps in [2, 5, 100, 1_000]:
         self.check_over_configs(num_train_timesteps=snake_case      )






       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        for num_vec_classes in [5, 100, 1_000, 4_000]:
         self.check_over_configs(num_vec_classes=snake_case      )






       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        for t in [0, 50, 99]:
         self.check_over_forward(time_step=snake_case      )






       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        pass






