


"""simple docstring"""







import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union

import flax
import jax.numpy as jnp

from ..utils import BaseOutput


lowerCAmelCase__				    =       '''scheduler_config.json'''


class 				SCREAMING_SNAKE_CASE__    (		lowercase    ):
       """simple docstring"""


       a  :    Tuple       =1
       a  :    Dict       =2
       a  :    Tuple       =3
       a  :    Optional[int]       =4
       a  :    List[str]       =5


@dataclass
class 				SCREAMING_SNAKE_CASE__    (		lowercase    ):
       """simple docstring"""


       a  :    jnp.ndarray


class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       a  :    str       =SCHEDULER_CONFIG_NAME
       a  :    Optional[int]       =["dtype"]
       a  :    Any       =[]
       a  :    Dict       =True

       @classmethod
       def 	lowercase__							(						cls		,					snake_case__ = None		,					snake_case__ = None		,					snake_case__=False		,					**snake_case__		,					):






         """simple docstring"""





         lowerCAmelCase						,  lowerCAmelCase					:					Any								=							cls.load_config(
             pretrained_model_name_or_path=snake_case__		,					subfolder=snake_case__		,					return_unused_kwargs=snake_case__		,					**snake_case__		,					)
         lowerCAmelCase						,  lowerCAmelCase					:					int								=							cls.from_config(snake_case__		,					return_unused_kwargs=snake_case__		,					**snake_case__						)

         if hasattr(snake_case__		,					"create_state"						) and getattr(snake_case__		,					"has_state"		,					snake_case__						):
           lowerCAmelCase					:					str								=							scheduler.create_state()

         if return_unused_kwargs:
           return scheduler, state, unused_kwargs

         return scheduler, state

       def 	lowercase__							(						self		,					snake_case__		,					snake_case__ = False		,					**snake_case__						):






         """simple docstring"""





         self.save_config(save_directory=snake_case__		,					push_to_hub=snake_case__		,					**snake_case__						)

       @property
       def 	lowercase__							(						self						):






         """simple docstring"""





         return self._get_compatibles()







       @classmethod
       def 	lowercase__							(						cls						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[Any]								=							list(set([cls.__name__] + cls._compatibles						)						)
         lowerCAmelCase					:					str								=							importlib.import_module(__name__.split("."						)[0]						)
         lowerCAmelCase					:					Union[str, Any]								=							[
             getattr(snake_case__		,					snake_case__						) for c in compatible_classes_str if hasattr(snake_case__		,					snake_case__						)
         ]
         return compatible_classes

def  a__      (    SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   Tuple[int]    ):


  '''simple docstring'''







  assert len(SCREAMING_SNAKE_CASE    ) >= x.ndim
  return jnp.broadcast_to(x.reshape(x.shape + (1,) * (len(SCREAMING_SNAKE_CASE    ) - x.ndim)    )    ,				SCREAMING_SNAKE_CASE    )
def  a__      (    SCREAMING_SNAKE_CASE   :   int    ,				SCREAMING_SNAKE_CASE   :   str=0.999    ,				SCREAMING_SNAKE_CASE   :   List[Any]=jnp.floataa    ):


  '''simple docstring'''







  def alpha_bar(SCREAMING_SNAKE_CASE   :   Tuple    ):
    return math.cos((time_step + 0.008) / 1.008 * math.pi / 2    ) ** 2

  lowerCAmelCase					:					Union[str, Any]								=							[]
  for i in range(SCREAMING_SNAKE_CASE    ):
    lowerCAmelCase					:					Optional[Any]								=							i / num_diffusion_timesteps
    lowerCAmelCase					:					List[str]								=							(i + 1) / num_diffusion_timesteps
    betas.append(min(1 - alpha_bar(SCREAMING_SNAKE_CASE    ) / alpha_bar(SCREAMING_SNAKE_CASE    )    ,				SCREAMING_SNAKE_CASE    )    )
  return jnp.array(SCREAMING_SNAKE_CASE    ,				dtype=SCREAMING_SNAKE_CASE    )


@flax.struct.dataclass
class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       a  :    jnp.ndarray
       a  :    jnp.ndarray
       a  :    jnp.ndarray

       @classmethod
       def 	lowercase__							(						cls		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					Union[str, Any]								=							scheduler.config

         if config.trained_betas is not None:
           lowerCAmelCase					:					Any								=							jnp.asarray(config.trained_betas		,					dtype=scheduler.dtype						)
         elif config.beta_schedule == "linear":
           lowerCAmelCase					:					Dict								=							jnp.linspace(config.beta_start		,					config.beta_end		,					config.num_train_timesteps		,					dtype=scheduler.dtype						)
         elif config.beta_schedule == "scaled_linear":
           # this schedule is very specific to the latent diffusion model.
           lowerCAmelCase					:					Union[str, Any]								=							(
               jnp.linspace(
                   config.beta_start**0.5		,					config.beta_end**0.5		,					config.num_train_timesteps		,					dtype=scheduler.dtype						)
               ** 2
           )
         elif config.beta_schedule == "squaredcos_cap_v2":
           # Glide cosine schedule
           lowerCAmelCase					:					Any								=							betas_for_alpha_bar(config.num_train_timesteps		,					dtype=scheduler.dtype						)
         else:
           raise NotImplementedError(
               f"""beta_schedule {config.beta_schedule} is not implemented for scheduler {scheduler.__class__.__name__}"""						)

         lowerCAmelCase					:					List[str]								=							1.0 - betas

         lowerCAmelCase					:					List[str]								=							jnp.cumprod(snake_case__		,					axis=0						)

         return cls(
             alphas=snake_case__		,					betas=snake_case__		,					alphas_cumprod=snake_case__		,					)

def  a__      (    SCREAMING_SNAKE_CASE   :   CommonSchedulerState    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ):


  '''simple docstring'''







  lowerCAmelCase					:					Dict								=							state.alphas_cumprod

  lowerCAmelCase					:					Optional[Any]								=							alphas_cumprod[timesteps] ** 0.5
  lowerCAmelCase					:					int								=							sqrt_alpha_prod.flatten()
  lowerCAmelCase					:					Union[str, Any]								=							broadcast_to_shape_from_left(SCREAMING_SNAKE_CASE    ,				original_samples.shape    )

  lowerCAmelCase					:					int								=							(1 - alphas_cumprod[timesteps]) ** 0.5
  lowerCAmelCase					:					Optional[int]								=							sqrt_one_minus_alpha_prod.flatten()
  lowerCAmelCase					:					Tuple								=							broadcast_to_shape_from_left(SCREAMING_SNAKE_CASE    ,				original_samples.shape    )

  return sqrt_alpha_prod, sqrt_one_minus_alpha_prod
def  a__      (    SCREAMING_SNAKE_CASE   :   CommonSchedulerState    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ):


  '''simple docstring'''







  lowerCAmelCase						,  lowerCAmelCase					:					Dict								=							get_sqrt_alpha_prod(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    )
  lowerCAmelCase					:					Optional[int]								=							sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise
  return noisy_samples





def  a__      (    SCREAMING_SNAKE_CASE   :   CommonSchedulerState    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ,				SCREAMING_SNAKE_CASE   :   jnp.ndarray    ):


  '''simple docstring'''







  lowerCAmelCase						,  lowerCAmelCase					:					Optional[Any]								=							get_sqrt_alpha_prod(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    )
  lowerCAmelCase					:					str								=							sqrt_alpha_prod * noise - sqrt_one_minus_alpha_prod * sample
  return velocity









"""simple docstring"""







from typing import Any


class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       def __init__(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[Any]								=							data
         lowerCAmelCase					:					Tuple								=							None


class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       def __init__(						self						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[int]								=							None

       def 	lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[Any]								=							self.head
         while temp is not None:
           print(temp.data		,					end=" "						)
           lowerCAmelCase					:					List[str]								=							temp.next
         print()

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					int								=							Node(snake_case__						)
         lowerCAmelCase					:					Union[str, Any]								=							self.head
         lowerCAmelCase					:					Optional[Any]								=							new_node







       def 	lowercase__							(						self		,					snake_case__		,					snake_case__						):






         """simple docstring"""





         if node_data_a == node_data_a:
           return
         else:
           lowerCAmelCase					:					str								=							self.head
           while node_a is not None and node_a.data != node_data_a:
             lowerCAmelCase					:					Union[str, Any]								=							node_a.next

           lowerCAmelCase					:					Any								=							self.head
           while node_a is not None and node_a.data != node_data_a:
             lowerCAmelCase					:					List[Any]								=							node_a.next

           if node_a is None or node_a is None:
             return

           lowerCAmelCase						,  lowerCAmelCase					:					str								=							node_a.data, node_a.data


if __name__ == "__main__":
     lowerCAmelCase__				    =       LinkedList()
     for i in range(5, 0, -1):
          ll.push(i)

     ll.print_list()

     ll.swap_nodes(1, 4)
     print('''After swapping''')
     ll.print_list()





