"""simple docstring"""


import torch

from diffusers import DDPMParallelScheduler

from .test_schedulers import SchedulerCommonTest






class    a__    (   _UpperCAmelCase	):
   snake_case_							=      (DDPMParallelScheduler,)


   def 	snake_case__	(     self,				**_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							{
            '''num_train_timesteps''': 1000,
            '''beta_start''': 0.0_001,
            '''beta_end''': 0.02,
            '''beta_schedule''': '''linear''',
            '''variance_type''': '''fixed_small''',
            '''clip_sample''': True,
        }

        config.update(**lowerCamelCase_  )
        return config


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for timesteps in [1, 5, 100, 1000]:
             self.check_over_configs(num_train_timesteps=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for beta_start, beta_end in zip([0.0_001, 0.001, 0.01, 0.1],				[0.002, 0.02, 0.2, 2]  ):
             self.check_over_configs(beta_start=lowerCamelCase_,				beta_end=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for schedule in ["linear", "squaredcos_cap_v2"]:
             self.check_over_configs(beta_schedule=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for variance in ["fixed_small", "fixed_large", "other"]:
             self.check_over_configs(variance_type=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for clip_sample in [True, False]:
             self.check_over_configs(clip_sample=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        self.check_over_configs(thresholding=lowerCamelCase_  )
        for threshold in [0.5, 1.0, 2.0]:
             for prediction_type in ["epsilon", "sample", "v_prediction"]:
                  self.check_over_configs(
                      thresholding=lowerCamelCase_,				prediction_type=lowerCamelCase_,				sample_max_value=lowerCamelCase_,				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for prediction_type in ["epsilon", "sample", "v_prediction"]:
             self.check_over_configs(prediction_type=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for t in [0, 500, 999]:
             self.check_over_forward(time_step=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        assert torch.sum(torch.abs(scheduler._get_variance(0  ) - 0.0  )  ) < 1E-5
        assert torch.sum(torch.abs(scheduler._get_variance(487  ) - 0.00_979  )  ) < 1E-5
        assert torch.sum(torch.abs(scheduler._get_variance(999  ) - 0.02  )  ) < 1E-5


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							len(lowerCamelCase_  )

        lowercase__				 =							self.dummy_model()
        lowercase__				 =							self.dummy_sample_deter
        lowercase__				 =							self.dummy_sample_deter + 0.1
        lowercase__				 =							self.dummy_sample_deter - 0.1

        lowercase__				 =							samplea.shape[0]
        lowercase__				 =							torch.stack([samplea, samplea, samplea],				dim=0  )
        lowercase__				 =							torch.arange(lowerCamelCase_  )[0:3, None].repeat(1,				lowerCamelCase_  )

        lowercase__				 =							model(samples.flatten(0,				1  ),				timesteps.flatten(0,				1  )  )
        lowercase__				 =							scheduler.batch_step_no_noise(lowerCamelCase_,				timesteps.flatten(0,				1  ),				samples.flatten(0,				1  )  )

        lowercase__				 =							torch.sum(torch.abs(lowerCamelCase_  )  )
        lowercase__				 =							torch.mean(torch.abs(lowerCamelCase_  )  )

        assert abs(result_sum.item() - 1153.1833  ) < 1E-2
        assert abs(result_mean.item() - 0.5_005  ) < 1E-3


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							len(lowerCamelCase_  )

        lowercase__				 =							self.dummy_model()
        lowercase__				 =							self.dummy_sample_deter
        lowercase__				 =							torch.manual_seed(0  )

        for t in reversed(range(lowerCamelCase_  )  ):
             # 1. predict noise residual
             lowercase__				 =							model(lowerCamelCase_,				lowerCamelCase_  )

             # 2. predict previous mean of sample x_t-1
             lowercase__				 =							scheduler.step(lowerCamelCase_,				lowerCamelCase_,				lowerCamelCase_,				generator=lowerCamelCase_  ).prev_sample

             lowercase__				 =							pred_prev_sample

        lowercase__				 =							torch.sum(torch.abs(lowerCamelCase_  )  )
        lowercase__				 =							torch.mean(torch.abs(lowerCamelCase_  )  )

        assert abs(result_sum.item() - 258.9606  ) < 1E-2
        assert abs(result_mean.item() - 0.3_372  ) < 1E-3


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config(prediction_type="v_prediction"  )
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							len(lowerCamelCase_  )

        lowercase__				 =							self.dummy_model()
        lowercase__				 =							self.dummy_sample_deter
        lowercase__				 =							torch.manual_seed(0  )

        for t in reversed(range(lowerCamelCase_  )  ):
             # 1. predict noise residual
             lowercase__				 =							model(lowerCamelCase_,				lowerCamelCase_  )

             # 2. predict previous mean of sample x_t-1
             lowercase__				 =							scheduler.step(lowerCamelCase_,				lowerCamelCase_,				lowerCamelCase_,				generator=lowerCamelCase_  ).prev_sample

             lowercase__				 =							pred_prev_sample

        lowercase__				 =							torch.sum(torch.abs(lowerCamelCase_  )  )
        lowercase__				 =							torch.mean(torch.abs(lowerCamelCase_  )  )

        assert abs(result_sum.item() - 202.0296  ) < 1E-2
        assert abs(result_mean.item() - 0.2_631  ) < 1E-3


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							[100, 87, 50, 1, 0]

        scheduler.set_timesteps(timesteps=lowerCamelCase_  )

        lowercase__				 =							scheduler.timesteps

        for i, timestep in enumerate(lowerCamelCase_  ):
             if i == len(lowerCamelCase_  ) - 1:
                  lowercase__				 =							-1
             else:
                  lowercase__				 =							timesteps[i + 1]

             lowercase__				 =							scheduler.previous_timestep(lowerCamelCase_  )
             lowercase__				 =							prev_t.item()

             self.assertEqual(lowerCamelCase_,				lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							[100, 87, 50, 51, 0]

        with self.assertRaises(lowerCamelCase_,				msg="`custom_timesteps` must be in descending order."  ):
             scheduler.set_timesteps(timesteps=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							[100, 87, 50, 1, 0]
        lowercase__				 =							len(lowerCamelCase_  )

        with self.assertRaises(lowerCamelCase_,				msg="Can only pass one of `num_inference_steps` or `custom_timesteps`."  ):
             scheduler.set_timesteps(num_inference_steps=lowerCamelCase_,				timesteps=lowerCamelCase_  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.scheduler_classes[0]
        lowercase__				 =							self.get_scheduler_config()
        lowercase__				 =							scheduler_class(**lowerCamelCase_  )

        lowercase__				 =							[scheduler.config.num_train_timesteps]

        with self.assertRaises(
            lowerCamelCase_,				msg="`timesteps` must start before `self.config.train_timesteps`: {scheduler.config.num_train_timesteps}}",				):
             scheduler.set_timesteps(timesteps=lowerCamelCase_  )





"""simple docstring"""


lowerCAmelCase_:					Union[str, Any]     =					[
    9_9_9,
    8_0_0,
    7_9_9,
    6_0_0,
    5_9_9,
    5_0_0,
    4_0_0,
    3_9_9,
    3_7_7,
    3_5_5,
    3_3_3,
    3_1_1,
    2_8_8,
    2_6_6,
    2_4_4,
    2_2_2,
    2_0_0,
    1_9_9,
    1_7_7,
    1_5_5,
    1_3_3,
    1_1_1,
    8_8,
    6_6,
    4_4,
    2_2,
    0,
]

lowerCAmelCase_:					List[str]     =					[
    9_9_9,
    9_7_6,
    9_5_2,
    9_2_8,
    9_0_5,
    8_8_2,
    8_5_8,
    8_5_7,
    8_1_0,
    7_6_2,
    7_1_5,
    7_1_4,
    5_7_2,
    4_2_9,
    4_2_8,
    2_8_6,
    2_8_5,
    2_3_8,
    1_9_0,
    1_4_3,
    1_4_2,
    1_1_8,
    9_5,
    7_1,
    4_7,
    2_4,
    0,
]

lowerCAmelCase_:					List[str]     =					[
    9_9_9,
    9_8_8,
    9_7_7,
    9_6_6,
    9_5_5,
    9_4_4,
    9_3_3,
    9_2_2,
    9_1_1,
    9_0_0,
    8_9_9,
    8_7_9,
    8_5_9,
    8_4_0,
    8_2_0,
    8_0_0,
    7_9_9,
    7_6_6,
    7_3_3,
    7_0_0,
    6_9_9,
    6_5_0,
    6_0_0,
    5_9_9,
    5_0_0,
    4_9_9,
    4_0_0,
    3_9_9,
    3_5_0,
    3_0_0,
    2_9_9,
    2_6_6,
    2_3_3,
    2_0_0,
    1_9_9,
    1_7_9,
    1_5_9,
    1_4_0,
    1_2_0,
    1_0_0,
    9_9,
    8_8,
    7_7,
    6_6,
    5_5,
    4_4,
    3_3,
    2_2,
    1_1,
    0,
]

lowerCAmelCase_:					Dict     =					[
    9_9_9,
    9_9_5,
    9_9_2,
    9_8_9,
    9_8_5,
    9_8_1,
    9_7_8,
    9_7_5,
    9_7_1,
    9_6_7,
    9_6_4,
    9_6_1,
    9_5_7,
    9_5_6,
    9_5_1,
    9_4_7,
    9_4_2,
    9_3_7,
    9_3_3,
    9_2_8,
    9_2_3,
    9_1_9,
    9_1_4,
    9_1_3,
    9_0_8,
    9_0_3,
    8_9_7,
    8_9_2,
    8_8_7,
    8_8_1,
    8_7_6,
    8_7_1,
    8_7_0,
    8_6_4,
    8_5_8,
    8_5_2,
    8_4_6,
    8_4_0,
    8_3_4,
    8_2_8,
    8_2_7,
    8_2_0,
    8_1_3,
    8_0_6,
    7_9_9,
    7_9_2,
    7_8_5,
    7_8_4,
    7_7_7,
    7_7_0,
    7_6_3,
    7_5_6,
    7_4_9,
    7_4_2,
    7_4_1,
    7_3_3,
    7_2_4,
    7_1_6,
    7_0_7,
    6_9_9,
    6_9_8,
    6_8_8,
    6_7_7,
    6_6_6,
    6_5_6,
    6_5_5,
    6_4_5,
    6_3_4,
    6_2_3,
    6_1_3,
    6_1_2,
    5_9_8,
    5_8_4,
    5_7_0,
    5_6_9,
    5_5_5,
    5_4_1,
    5_2_7,
    5_2_6,
    5_0_5,
    4_8_4,
    4_8_3,
    4_6_2,
    4_4_0,
    4_3_9,
    3_9_6,
    3_9_5,
    3_5_2,
    3_5_1,
    3_0_8,
    3_0_7,
    2_6_4,
    2_6_3,
    2_2_0,
    2_1_9,
    1_7_6,
    1_3_2,
    8_8,
    4_4,
    0,
]

lowerCAmelCase_:					Optional[int]     =					[
    9_9_9,
    9_9_7,
    9_9_5,
    9_9_2,
    9_9_0,
    9_8_8,
    9_8_6,
    9_8_4,
    9_8_1,
    9_7_9,
    9_7_7,
    9_7_5,
    9_7_2,
    9_7_0,
    9_6_8,
    9_6_6,
    9_6_4,
    9_6_1,
    9_5_9,
    9_5_7,
    9_5_6,
    9_5_4,
    9_5_1,
    9_4_9,
    9_4_6,
    9_4_4,
    9_4_1,
    9_3_9,
    9_3_6,
    9_3_4,
    9_3_1,
    9_2_9,
    9_2_6,
    9_2_4,
    9_2_1,
    9_1_9,
    9_1_6,
    9_1_4,
    9_1_3,
    9_1_0,
    9_0_7,
    9_0_5,
    9_0_2,
    8_9_9,
    8_9_6,
    8_9_3,
    8_9_1,
    8_8_8,
    8_8_5,
    8_8_2,
    8_7_9,
    8_7_7,
    8_7_4,
    8_7_1,
    8_7_0,
    8_6_7,
    8_6_4,
    8_6_1,
    8_5_8,
    8_5_5,
    8_5_2,
    8_4_9,
    8_4_6,
    8_4_3,
    8_4_0,
    8_3_7,
    8_3_4,
    8_3_1,
    8_2_8,
    8_2_7,
    8_2_4,
    8_2_1,
    8_1_7,
    8_1_4,
    8_1_1,
    8_0_8,
    8_0_4,
    8_0_1,
    7_9_8,
    7_9_5,
    7_9_1,
    7_8_8,
    7_8_5,
    7_8_4,
    7_8_0,
    7_7_7,
    7_7_4,
    7_7_0,
    7_6_6,
    7_6_3,
    7_6_0,
    7_5_6,
    7_5_2,
    7_4_9,
    7_4_6,
    7_4_2,
    7_4_1,
    7_3_7,
    7_3_3,
    7_3_0,
    7_2_6,
    7_2_2,
    7_1_8,
    7_1_4,
    7_1_0,
    7_0_7,
    7_0_3,
    6_9_9,
    6_9_8,
    6_9_4,
    6_9_0,
    6_8_5,
    6_8_1,
    6_7_7,
    6_7_3,
    6_6_9,
    6_6_4,
    6_6_0,
    6_5_6,
    6_5_5,
    6_5_0,
    6_4_6,
    6_4_1,
    6_3_6,
    6_3_2,
    6_2_7,
    6_2_2,
    6_1_8,
    6_1_3,
    6_1_2,
    6_0_7,
    6_0_2,
    5_9_6,
    5_9_1,
    5_8_6,
    5_8_0,
    5_7_5,
    5_7_0,
    5_6_9,
    5_6_3,
    5_5_7,
    5_5_1,
    5_4_5,
    5_3_9,
    5_3_3,
    5_2_7,
    5_2_6,
    5_1_9,
    5_1_2,
    5_0_5,
    4_9_8,
    4_9_1,
    4_8_4,
    4_8_3,
    4_7_4,
    4_6_6,
    4_5_7,
    4_4_9,
    4_4_0,
    4_3_9,
    4_2_8,
    4_1_8,
    4_0_7,
    3_9_6,
    3_9_5,
    3_8_1,
    3_6_6,
    3_5_2,
    3_5_1,
    3_3_0,
    3_0_8,
    3_0_7,
    2_8_6,
    2_6_4,
    2_6_3,
    2_4_2,
    2_2_0,
    2_1_9,
    1_7_6,
    1_7_5,
    1_3_2,
    1_3_1,
    8_8,
    4_4,
    0,
]

lowerCAmelCase_:					Tuple     =					[
    9_9_9,
    9_9_1,
    9_8_2,
    9_7_4,
    9_6_6,
    9_5_8,
    9_5_0,
    9_4_1,
    9_3_3,
    9_2_5,
    9_1_6,
    9_0_8,
    9_0_0,
    8_9_9,
    8_7_4,
    8_5_0,
    8_2_5,
    8_0_0,
    7_9_9,
    7_0_0,
    6_0_0,
    5_0_0,
    4_0_0,
    3_0_0,
    2_0_0,
    1_0_0,
    0,
]

lowerCAmelCase_:					str     =					[
    9_9_9,
    9_9_2,
    9_8_5,
    9_7_8,
    9_7_1,
    9_6_4,
    9_5_7,
    9_4_9,
    9_4_2,
    9_3_5,
    9_2_8,
    9_2_1,
    9_1_4,
    9_0_7,
    9_0_0,
    8_9_9,
    8_7_9,
    8_5_9,
    8_4_0,
    8_2_0,
    8_0_0,
    7_9_9,
    7_6_6,
    7_3_3,
    7_0_0,
    6_9_9,
    6_5_0,
    6_0_0,
    5_9_9,
    5_0_0,
    4_9_9,
    4_0_0,
    3_9_9,
    3_0_0,
    2_9_9,
    2_0_0,
    1_9_9,
    1_0_0,
    9_9,
    0,
]

lowerCAmelCase_:					int     =					[
    9_9_9,
    9_9_6,
    9_9_2,
    9_8_9,
    9_8_5,
    9_8_2,
    9_7_9,
    9_7_5,
    9_7_2,
    9_6_8,
    9_6_5,
    9_6_1,
    9_5_8,
    9_5_5,
    9_5_1,
    9_4_8,
    9_4_4,
    9_4_1,
    9_3_8,
    9_3_4,
    9_3_1,
    9_2_7,
    9_2_4,
    9_2_0,
    9_1_7,
    9_1_4,
    9_1_0,
    9_0_7,
    9_0_3,
    9_0_0,
    8_9_9,
    8_9_1,
    8_8_4,
    8_7_6,
    8_6_9,
    8_6_1,
    8_5_3,
    8_4_6,
    8_3_8,
    8_3_0,
    8_2_3,
    8_1_5,
    8_0_8,
    8_0_0,
    7_9_9,
    7_8_8,
    7_7_7,
    7_6_6,
    7_5_5,
    7_4_4,
    7_3_3,
    7_2_2,
    7_1_1,
    7_0_0,
    6_9_9,
    6_8_8,
    6_7_7,
    6_6_6,
    6_5_5,
    6_4_4,
    6_3_3,
    6_2_2,
    6_1_1,
    6_0_0,
    5_9_9,
    5_8_5,
    5_7_1,
    5_5_7,
    5_4_2,
    5_2_8,
    5_1_4,
    5_0_0,
    4_9_9,
    4_8_5,
    4_7_1,
    4_5_7,
    4_4_2,
    4_2_8,
    4_1_4,
    4_0_0,
    3_9_9,
    3_7_9,
    3_5_9,
    3_4_0,
    3_2_0,
    3_0_0,
    2_9_9,
    2_7_9,
    2_5_9,
    2_4_0,
    2_2_0,
    2_0_0,
    1_9_9,
    1_6_6,
    1_3_3,
    1_0_0,
    9_9,
    6_6,
    3_3,
    0,
]




