import torch

from diffusers import UnCLIPScheduler

from .test_schedulers import SchedulerCommonTest



class   snake_case_       (		__A       ):
   __A	:		List[Any]         =				(UnCLIPScheduler,)






   def       __UpperCamelCase     (      self				:     Union[str, Any]	,						**lowercase_				:     List[str]  )					->						List[str]:
       lowercase__ :   int    					=				{
           "num_train_timesteps": 10_00,
           "variance_type": "fixed_small_log",
           "clip_sample": True,
           "clip_sample_range": 1.0,
           "prediction_type": "epsilon",
       }

       config.update(**lowercase_  )
       return config






   def       __UpperCamelCase     (      self				:     Tuple  )					->						Tuple:
       for timesteps in [1, 5, 1_00, 10_00]:
           self.check_over_configs(num_train_timesteps=lowercase_  )






   def       __UpperCamelCase     (      self				:     Optional[int]  )					->						Union[str, Any]:
       for variance in ["fixed_small_log", "learned_range"]:
           self.check_over_configs(variance_type=lowercase_  )






   def       __UpperCamelCase     (      self				:     int  )					->						List[Any]:
       for clip_sample in [True, False]:
           self.check_over_configs(clip_sample=lowercase_  )






   def       __UpperCamelCase     (      self				:     str  )					->						int:
       for clip_sample_range in [1, 5, 10, 20]:
           self.check_over_configs(clip_sample_range=lowercase_  )






   def       __UpperCamelCase     (      self				:     int  )					->						Optional[int]:
       for prediction_type in ["epsilon", "sample"]:
           self.check_over_configs(prediction_type=lowercase_  )






   def       __UpperCamelCase     (      self				:     str  )					->						Union[str, Any]:
       for time_step in [0, 5_00, 9_99]:
           for prev_timestep in [None, 5, 1_00, 2_50, 5_00, 7_50]:
               if prev_timestep is not None and prev_timestep >= time_step:
                   continue

               self.check_over_forward(time_step=lowercase_	,						prev_timestep=lowercase_  )






   def       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						int:
       lowercase__ :   Dict    					=				self.scheduler_classes[0]
       lowercase__ :   Optional[Any]    					=				self.get_scheduler_config(variance_type="fixed_small_log"  )
       lowercase__ :   Optional[int]    					=				scheduler_class(**lowercase_  )

       assert torch.sum(torch.abs(scheduler._get_variance(0  ) - 1.00_00E-10  )  ) < 1E-5
       assert torch.sum(torch.abs(scheduler._get_variance(4_87  ) - 0.0_54_96_25  )  ) < 1E-5
       assert torch.sum(torch.abs(scheduler._get_variance(9_99  ) - 0.9_99_49_87  )  ) < 1E-5






   def       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						Optional[Any]:
       lowercase__ :   Dict    					=				self.scheduler_classes[0]
       lowercase__ :   Optional[Any]    					=				self.get_scheduler_config(variance_type="learned_range"  )
       lowercase__ :   Any    					=				scheduler_class(**lowercase_  )

       lowercase__ :   Tuple    					=				0.5

       assert scheduler._get_variance(1	,						predicted_variance=lowercase_  ) - -10.1_71_27_90 < 1E-5
       assert scheduler._get_variance(4_87	,						predicted_variance=lowercase_  ) - -5.7_99_80_52 < 1E-5
       assert scheduler._get_variance(9_99	,						predicted_variance=lowercase_  ) - -0.0_01_00_11 < 1E-5






   def       __UpperCamelCase     (      self				:     str  )					->						List[Any]:
       lowercase__ :   Union[str, Any]    					=				self.scheduler_classes[0]
       lowercase__ :   List[Any]    					=				self.get_scheduler_config()
       lowercase__ :   Optional[Any]    					=				scheduler_class(**lowercase_  )

       lowercase__ :   Union[str, Any]    					=				scheduler.timesteps

       lowercase__ :   List[Any]    					=				self.dummy_model()
       lowercase__ :   str    					=				self.dummy_sample_deter
       lowercase__ :   int    					=				torch.manual_seed(0  )

       for i, t in enumerate(lowercase_  ):
           # 1. predict noise residual
           lowercase__ :   Optional[int]    					=				model(lowercase_	,						lowercase_  )

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

           lowercase__ :   List[str]    					=				pred_prev_sample

       lowercase__ :   List[str]    					=				torch.sum(torch.abs(lowercase_  )  )
       lowercase__ :   List[Any]    					=				torch.mean(torch.abs(lowercase_  )  )

       assert abs(result_sum.item() - 2_52.2_68_24_95  ) < 1E-2
       assert abs(result_mean.item() - 0.3_28_47_43  ) < 1E-3






   def       __UpperCamelCase     (      self				:     Optional[Any]  )					->						List[str]:
       lowercase__ :   Optional[Any]    					=				self.scheduler_classes[0]
       lowercase__ :   Any    					=				self.get_scheduler_config()
       lowercase__ :   List[Any]    					=				scheduler_class(**lowercase_  )

       scheduler.set_timesteps(25  )

       lowercase__ :   Union[str, Any]    					=				scheduler.timesteps

       lowercase__ :   Tuple    					=				self.dummy_model()
       lowercase__ :   int    					=				self.dummy_sample_deter
       lowercase__ :   Optional[Any]    					=				torch.manual_seed(0  )

       for i, t in enumerate(lowercase_  ):
           # 1. predict noise residual
           lowercase__ :   Tuple    					=				model(lowercase_	,						lowercase_  )

           if i + 1 == timesteps.shape[0]:
               lowercase__ :   int    					=				None
           else:
               lowercase__ :   Union[str, Any]    					=				timesteps[i + 1]

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

           lowercase__ :   str    					=				pred_prev_sample

       lowercase__ :   Dict    					=				torch.sum(torch.abs(lowercase_  )  )
       lowercase__ :   List[Any]    					=				torch.mean(torch.abs(lowercase_  )  )

       assert abs(result_sum.item() - 2_58.2_04_49_83  ) < 1E-2
       assert abs(result_mean.item() - 0.3_36_20_38  ) < 1E-3






   def       __UpperCamelCase     (      self				:     Any  )					->						Tuple:
       pass







   def       __UpperCamelCase     (      self				:     Optional[int]  )					->						Optional[Any]:
       pass




"""simple docstring"""
class    __snake_case       :



      def __init__(						self    ,			lowercase    ,			lowercase=None    ,			lowercase=None)	->			List[str]:





        '''simple docstring'''





        a__:     Dict										=	data
        a__:     List[Any]										=	previous
        a__:     Any										=	next_node



      def __str__(						self)	->			str:





        '''simple docstring'''





        return f'{self.data}'



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        return self.data



      def   lowerCamelCase_   (						self)	->			Union[str, Any]:





        '''simple docstring'''





        return self.next



      def   lowerCamelCase_   (						self)	->			Optional[Any]:





        '''simple docstring'''





        return self.previous







class    __snake_case       :



      def __init__(						self    ,			lowercase)	->			Dict:





        '''simple docstring'''





        a__:     List[Any]										=	head



      def __iter__(						self)	->			List[Any]:





        '''simple docstring'''





        return self



      def   lowerCamelCase_   (						self)	->			Optional[Any]:





        '''simple docstring'''





        if not self.current:
          raise StopIteration
        else:
          a__:     Dict										=	self.current.get_data()
          a__:     Optional[Any]										=	self.current.get_next()
          return value







class    __snake_case       :



      def __init__(						self)	->			Dict:





        '''simple docstring'''





        a__:     List[Any]										=	None  # First node in list
        a__:     Optional[int]										=	None  # Last node in list



      def __str__(						self)	->			Optional[Any]:





        '''simple docstring'''





        a__:     Dict										=	self.head
        a__:     Optional[Any]										=	[]
        while current is not None:
          nodes.append(current.get_data())
          a__:     str										=	current.get_next()
        return " ".join(str(lowercase) for node in nodes)



      def __contains__(						self    ,			lowercase)	->			Optional[int]:





        '''simple docstring'''





        a__:     Optional[int]										=	self.head
        while current:
          if current.get_data() == value:
            return True
          a__:     Dict										=	current.get_next()
        return False



      def __iter__(						self)	->			int:





        '''simple docstring'''





        return LinkedListIterator(self.head)



      def   lowerCamelCase_   (						self)	->			List[Any]:





        '''simple docstring'''





        if self.head:
          return self.head.get_data()
        return None



      def   lowerCamelCase_   (						self)	->			Optional[Any]:





        '''simple docstring'''





        if self.tail:
          return self.tail.get_data()
        return None



      def   lowerCamelCase_   (						self    ,			lowercase)	->			None:





        '''simple docstring'''





        if self.head is None:
          a__:     Optional[Any]										=	node
          a__:     Optional[Any]										=	node
        else:
          self.insert_before_node(self.head    ,			lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase)	->			None:





        '''simple docstring'''





        if self.head is None:
          self.set_head(lowercase)
        else:
          self.insert_after_node(self.tail    ,			lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase)	->			None:





        '''simple docstring'''





        a__:     Tuple										=	Node(lowercase)
        if self.head is None:
          self.set_head(lowercase)
        else:
          self.set_tail(lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase    ,			lowercase)	->			None:





        '''simple docstring'''





        a__:     Union[str, Any]										=	node
        a__:     Optional[Any]										=	node.previous

        if node.get_previous() is None:
          a__:     Tuple										=	node_to_insert
        else:
          a__:     int										=	node_to_insert

        a__:     Optional[int]										=	node_to_insert



      def   lowerCamelCase_   (						self    ,			lowercase    ,			lowercase)	->			None:





        '''simple docstring'''





        a__:     Optional[int]										=	node
        a__:     Tuple										=	node.next

        if node.get_next() is None:
          a__:     Optional[int]										=	node_to_insert
        else:
          a__:     Any										=	node_to_insert

        a__:     str										=	node_to_insert



      def   lowerCamelCase_   (						self    ,			lowercase    ,			lowercase)	->			None:





        '''simple docstring'''





        a__:     Any										=	1
        a__:     Tuple										=	Node(lowercase)
        a__:     Tuple										=	self.head
        while node:
          if current_position == position:
            self.insert_before_node(lowercase    ,			lowercase)
            return
          current_position += 1
          a__:     List[Any]										=	node.next
        self.insert_after_node(self.tail    ,			lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase)	->			Node:





        '''simple docstring'''





        a__:     Tuple										=	self.head
        while node:
          if node.get_data() == item:
            return node
          a__:     List[str]										=	node.get_next()
        raise Exception('Node not found')



      def   lowerCamelCase_   (						self    ,			lowercase)	->			Any:





        '''simple docstring'''





        if (node := self.get_node(lowercase)) is not None:
          if node == self.head:
            a__:     Any										=	self.head.get_next()

          if node == self.tail:
            a__:     List[Any]										=	self.tail.get_previous()

          self.remove_node_pointers(lowercase)



      @staticmethod
      def   lowerCamelCase_   (						lowercase)	->			None:





        '''simple docstring'''





        if node.get_next():
          a__:     Any										=	node.previous

        if node.get_previous():
          a__:     List[str]										=	node.next

        a__:     int										=	None
        a__:     Union[str, Any]										=	None



      def   lowerCamelCase_   (						self)	->			str:





        '''simple docstring'''





        return self.head is None







def 						__a   (	)	->None:
  pass


if __name__ == "__main__":
 import doctest

 doctest.testmod()


