

'''simple docstring'''

class 					lowerCAmelCase       :







       def __init__(							self     :	Any  , __lowercase     :	List[str] ):







            """simple docstring"""







            __lowercase     						=data
            __lowercase     						=None
            __lowercase     						=None







       def __str__(							self     :	Tuple ):







            """simple docstring"""







            return f'''{self.data}'''






class 					lowerCAmelCase       :







       def __init__(							self     :	Tuple ):







            """simple docstring"""







            __lowercase     						=None
            __lowercase     						=None







       def __iter__(							self     :	List[Any] ):







            """simple docstring"""







            __lowercase     						=self.head
            while node:
                 yield node.data
                 __lowercase     						=node.next







       def __str__(							self     :	Union[str, Any] ):







            """simple docstring"""







            return "->".join([str(__lowercase ) for item in self] )







       def __len__(							self     :	Any ):







            """simple docstring"""







            return sum(1 for _ in self )







       def      snake_case				(							self     :	int  , __lowercase     :	str ):







            """simple docstring"""







            self.insert_at_nth(0  , __lowercase )







       def      snake_case				(							self     :	int  , __lowercase     :	List[Any] ):







            """simple docstring"""







            self.insert_at_nth(len(self )  , __lowercase )







       def      snake_case				(							self     :	Optional[Any]  , __lowercase     :	int  , __lowercase     :	str ):







            """simple docstring"""







            __lowercase     						=len(self )

            if not 0 <= index <= length:
                 raise IndexError('list index out of range' )
            __lowercase     						=Node(__lowercase )
            if self.head is None:
                 __lowercase     						=__lowercase     						=new_node
            elif index == 0:
                 __lowercase     						=new_node
                 __lowercase     						=self.head
                 __lowercase     						=new_node
            elif index == length:
                 __lowercase     						=new_node
                 __lowercase     						=self.tail
                 __lowercase     						=new_node
            else:
                 __lowercase     						=self.head
                 for _ in range(0  , __lowercase ):
                      __lowercase     						=temp.next
                 __lowercase     						=new_node
                 __lowercase     						=temp.previous
                 __lowercase     						=temp
                 __lowercase     						=new_node







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            return self.delete_at_nth(0 )







       def      snake_case				(							self     :	Optional[int] ):







            """simple docstring"""







            return self.delete_at_nth(len(self ) - 1 )







       def      snake_case				(							self     :	Dict  , __lowercase     :	int ):







            """simple docstring"""







            __lowercase     						=len(self )

            if not 0 <= index <= length - 1:
                 raise IndexError('list index out of range' )
            __lowercase     						=self.head  # default first node
            if length == 1:
                 __lowercase     						=__lowercase     						=None
            elif index == 0:
                 __lowercase     						=self.head.next
                 __lowercase     						=None
            elif index == length - 1:
                 __lowercase     						=self.tail
                 __lowercase     						=self.tail.previous
                 __lowercase     						=None
            else:
                 __lowercase     						=self.head
                 for _ in range(0  , __lowercase ):
                      __lowercase     						=temp.next
                 __lowercase     						=temp
                 __lowercase     						=temp.previous
                 __lowercase     						=temp.next
            return delete_node.data







       def      snake_case				(							self     :	List[Any]  , __lowercase     :	Any ):







            """simple docstring"""







            __lowercase     						=self.head

            while current.data != data:  # Find the position to delete
                 if current.next:
                      __lowercase     						=current.next
                 else:  # We have reached the end an no value matches
                      raise ValueError('No data matching given value' )

            if current == self.head:
                 self.delete_head()

            elif current == self.tail:
                 self.delete_tail()

            else:  # Before: 1 <--> 2(current) <--> 3
                 __lowercase     						=current.next  # 1 --> 3
                 __lowercase     						=current.previous  # 1 <--> 3
            return data







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            return len(self ) == 0






def 			__UpperCamelCase							(		):






     '''simple docstring'''





     __lowercase     						=DoublyLinkedList()
     assert linked_list.is_empty() is True
     assert str(lowercase__	) == ""

     try:
          linked_list.delete_head()
          raise AssertionError  # This should not happen.
     except IndexError:
          assert True  # This should happen.

     try:
          linked_list.delete_tail()
          raise AssertionError  # This should not happen.
     except IndexError:
          assert True  # This should happen.

     for i in range(10	):
          assert len(lowercase__	) == i
          linked_list.insert_at_nth(lowercase__,   i + 1	)
     assert str(lowercase__	) == "->".join(str(lowercase__	) for i in range(1,   11	)	)

     linked_list.insert_at_head(0	)
     linked_list.insert_at_tail(11	)
     assert str(lowercase__	) == "->".join(str(lowercase__	) for i in range(0,   12	)	)

     assert linked_list.delete_head() == 0
     assert linked_list.delete_at_nth(9	) == 10
     assert linked_list.delete_tail() == 11
     assert len(lowercase__	) == 9
     assert str(lowercase__	) == "->".join(str(lowercase__	) for i in range(1,   10	)	)


if __name__ == "__main__":
       from doctest import testmod

       testmod()





'''simple docstring'''

import torch

from diffusers import DDIMScheduler

from .test_schedulers import SchedulerCommonTest


class 					lowerCAmelCase       ( A				):
       lowerCAmelCase_				=	(DDIMScheduler,)
       lowerCAmelCase_				=	(("eta", 0.0), ("num_inference_steps", 5_0))







       def      snake_case				(							self     :	List[Any]  , **__lowercase     :	Optional[Any] ):







            """simple docstring"""







            __lowercase     						={
                'num_train_timesteps': 1000,
                'beta_start': 0.0_0_0_1,
                'beta_end': 0.0_2,
                'beta_schedule': 'linear',
                'clip_sample': True,
            }

            config.update(**__lowercase )
            return config







       def      snake_case				(							self     :	Optional[Any]  , **__lowercase     :	str ):







            """simple docstring"""







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

            __lowercase						,       __lowercase     						=10, 0.0

            __lowercase     						=self.dummy_model()
            __lowercase     						=self.dummy_sample_deter

            scheduler.set_timesteps(__lowercase )

            for t in scheduler.timesteps:
                 __lowercase     						=model(__lowercase  , __lowercase )
                 __lowercase     						=scheduler.step(__lowercase  , __lowercase  , __lowercase  , __lowercase ).prev_sample

            return sample







       def      snake_case				(							self     :	List[Any] ):







            """simple docstring"""







            for timesteps in [100, 500, 1000]:
                 self.check_over_configs(num_train_timesteps=__lowercase )







       def      snake_case				(							self     :	List[Any] ):







            """simple docstring"""







            for steps_offset in [0, 1]:
                 self.check_over_configs(steps_offset=__lowercase )

            __lowercase     						=self.scheduler_classes[0]
            __lowercase     						=self.get_scheduler_config(steps_offset=1 )
            __lowercase     						=scheduler_class(**__lowercase )
            scheduler.set_timesteps(5 )
            assert torch.equal(scheduler.timesteps  , torch.LongTensor([801, 601, 401, 201, 1] ) )







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            for beta_start, beta_end in zip([0.0_0_0_1, 0.0_0_1, 0.0_1, 0.1]  , [0.0_0_2, 0.0_2, 0.2, 2] ):
                 self.check_over_configs(beta_start=__lowercase  , beta_end=__lowercase )







       def      snake_case				(							self     :	str ):







            """simple docstring"""







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







       def      snake_case				(							self     :	str ):







            """simple docstring"""







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







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







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







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            for timestep_spacing in ["trailing", "leading"]:
                 self.check_over_configs(timestep_spacing=__lowercase )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            for rescale_betas_zero_snr in [True, False]:
                 self.check_over_configs(rescale_betas_zero_snr=__lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







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







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            for t in [1, 10, 49]:
                 self.check_over_forward(time_step=__lowercase )







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            for t, num_inference_steps in zip([1, 10, 50]  , [10, 50, 500] ):
                 self.check_over_forward(time_step=__lowercase  , num_inference_steps=__lowercase )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            for t, eta in zip([1, 10, 49]  , [0.0, 0.5, 1.0] ):
                 self.check_over_forward(time_step=__lowercase  , eta=__lowercase )







       def      snake_case				(							self     :	Optional[int] ):







            """simple docstring"""







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

            assert torch.sum(torch.abs(scheduler._get_variance(0  , 0 ) - 0.0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(420  , 400 ) - 0.1_4_7_7_1 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(980  , 960 ) - 0.3_2_4_6_0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(0  , 0 ) - 0.0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(487  , 486 ) - 0.0_0_9_7_9 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(999  , 998 ) - 0.0_2 ) ) < 1E-5







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            __lowercase     						=self.full_loop()

            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_7_2.0_0_6_7 ) < 1E-2
            assert abs(result_mean.item() - 0.2_2_3_9_6_7 ) < 1E-3







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            __lowercase     						=self.full_loop(prediction_type='v_prediction' )

            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 5_2.5_3_0_2 ) < 1E-2
            assert abs(result_mean.item() - 0.0_6_8_4 ) < 1E-3







       def      snake_case				(							self     :	Optional[Any] ):







            """simple docstring"""







            __lowercase     						=self.full_loop(set_alpha_to_one=__lowercase  , beta_start=0.0_1 )
            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_4_9.8_2_9_5 ) < 1E-2
            assert abs(result_mean.item() - 0.1_9_5_1 ) < 1E-3







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            __lowercase     						=self.full_loop(set_alpha_to_one=__lowercase  , beta_start=0.0_1 )
            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_4_9.0_7_8_4 ) < 1E-2
            assert abs(result_mean.item() - 0.1_9_4_1 ) < 1E-3


