


'''simple docstring'''

import torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest







class 			UpperCAmelCase			(							SCREAMING_SNAKE_CASE__):
 _lowerCamelCase			:       Optional[Any]            =       (VQDiffusionScheduler,)

 def 		lowercase_    (			self			:						List[Any],       **a_			:						Dict       ):





    """simple docstring"""



    UpperCamelCase__			    =    {
        "num_vec_classes": 4097,
        "num_train_timesteps": 100,
    }

    config.update(**lowercase__       )
    return config

 def 		lowercase_    (			self			:						Tuple,       a_			:						int       ):





    """simple docstring"""



    UpperCamelCase__			    =    4
    UpperCamelCase__			    =    8
    UpperCamelCase__			    =    8

    UpperCamelCase__			    =    torch.randint(0,       lowercase__,       (batch_size, height * width)       )

    return sample

 @property
 def 		lowercase_    (			self			:						Union[str, Any]       ):





    """simple docstring"""



    assert False

 def 		lowercase_    (			self			:						str,       a_			:						int       ):





    """simple docstring"""



    def model(a_			:						Any,       a_			:						Optional[int],       *a_			:						Any       ):
       UpperCamelCase__    ,		UpperCamelCase__			    =    sample.shape
       UpperCamelCase__			    =    torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)       )
       UpperCamelCase__			    =    F.log_softmax(logits.double(),       dim=1       ).float()
       return return_value

    return model

 def 		lowercase_    (			self			:						Optional[Any]       ):





    """simple docstring"""



    for timesteps in [2, 5, 100, 1000]:
       self.check_over_configs(num_train_timesteps=lowercase__       )

 def 		lowercase_    (			self			:						Any       ):





    """simple docstring"""



    for num_vec_classes in [5, 100, 1000, 4000]:
       self.check_over_configs(num_vec_classes=lowercase__       )

 def 		lowercase_    (			self			:						str       ):





    """simple docstring"""



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

 def 		lowercase_    (			self			:						Optional[int]       ):





    """simple docstring"""



    pass







'''simple docstring'''







def     _UpperCamelCase				(  snake_case__				):
      if len(snake_case__				) <= 1:
            return data
      else:
            return [
                *quick_sort([e for e in data[1:] if e <= data[0]]				),
                data[0],
                *quick_sort([e for e in data[1:] if e > data[0]]				),
            ]


if __name__ == "__main__":
       import doctest

       doctest.testmod()


