




"""simple docstring"""






from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

UpperCamelCase__						=			TypeVar('''KEY''')
UpperCamelCase__						=			TypeVar('''VAL''')




@dataclass(frozen=UpperCamelCase_					,	slots=UpperCamelCase_  )
class   a__			(       Generic[KEY, VAL]  ):
						snake_case__             = 4_2
						snake_case__             = 4_2




class   a__			(       _Item  ):





						def __init__(							self      :	Dict)						->       None:




											"""simple docstring"""







											super().__init__(__a     ,__a)







						def __bool__(							self      :	Any)						->       bool:




											"""simple docstring"""







											return False



UpperCamelCase__						=			_DeletedItem()




class   a__			(       MutableMapping[KEY, VAL]  ):





						def __init__(							self      :	Union[str, Any]     ,a__      :	List[str] = 8     ,a__      :	int = 0.75)						->       None:




											"""simple docstring"""







											_lowerCAmelCase:Any									=  initial_block_size
											_lowerCAmelCase:list[_Item | None]									=  [None] * initial_block_size
											assert 0.0 < capacity_factor < 1.0
											_lowerCAmelCase:List[str]									=  capacity_factor
											_lowerCAmelCase:Dict									=  0





						def       __UpperCamelCase     (							self      :	Optional[Any]     ,a__      :	List[str])						->       int:




											"""simple docstring"""







											return hash(__a) % len(self._buckets)





						def       __UpperCamelCase     (							self      :	str     ,a__      :	Tuple)						->       int:




											"""simple docstring"""







											return (ind + 1) % len(self._buckets)





						def       __UpperCamelCase     (							self      :	int     ,a__      :	Optional[Any]     ,a__      :	List[Any]     ,a__      :	str)						->       bool:




											"""simple docstring"""







											_lowerCAmelCase:List[str]									=  self._buckets[ind]
											if not stored:
																_lowerCAmelCase:Optional[Any]									=  _Item(__a     ,__a)
																self._len += 1
																return True
											elif stored.key == key:
																_lowerCAmelCase:Dict									=  _Item(__a     ,__a)
																return True
											else:
																return False





						def       __UpperCamelCase     (							self      :	int)						->       bool:




											"""simple docstring"""







											_lowerCAmelCase:str									=  len(self._buckets) * self._capacity_factor
											return len(self) >= int(__a)





						def       __UpperCamelCase     (							self      :	List[str])						->       bool:




											"""simple docstring"""







											if len(self._buckets) <= self._initial_block_size:
																return False
											_lowerCAmelCase:str									=  len(self._buckets) * self._capacity_factor / 2
											return len(self) < limit





						def       __UpperCamelCase     (							self      :	int     ,a__      :	str)						->       None:




											"""simple docstring"""







											_lowerCAmelCase:Optional[int]									=  self._buckets
											_lowerCAmelCase:Dict									=  [None] * new_size
											_lowerCAmelCase:Optional[Any]									=  0
											for item in old_buckets:
																if item:
																					self._add_item(item.key     ,item.val)





						def       __UpperCamelCase     (							self      :	Tuple)						->       None:




											"""simple docstring"""







											self._resize(len(self._buckets) * 2)





						def       __UpperCamelCase     (							self      :	str)						->       None:




											"""simple docstring"""







											self._resize(len(self._buckets) // 2)





						def       __UpperCamelCase     (							self      :	int     ,a__      :	Tuple)						->       Iterator[int]:




											"""simple docstring"""







											_lowerCAmelCase:List[Any]									=  self._get_bucket_index(__a)
											for _ in range(len(self._buckets)):
																yield ind
																_lowerCAmelCase:Union[str, Any]									=  self._get_next_ind(__a)





						def       __UpperCamelCase     (							self      :	List[str]     ,a__      :	str     ,a__      :	Optional[int])						->       None:




											"""simple docstring"""







											for ind in self._iterate_buckets(__a):
																if self._try_set(__a     ,__a     ,__a):
																					break





						def __setitem__(							self      :	Dict     ,a__      :	Union[str, Any]     ,a__      :	str)						->       None:




											"""simple docstring"""







											if self._is_full():
																self._size_up()

											self._add_item(__a     ,__a)





						def __delitem__(							self      :	str     ,a__      :	Optional[Any])						->       None:




											"""simple docstring"""







											for ind in self._iterate_buckets(__a):
																_lowerCAmelCase:Optional[int]									=  self._buckets[ind]
																if item is None:
																					raise KeyError(__a)
																if item is _deleted:
																					continue
																if item.key == key:
																					_lowerCAmelCase:int									=  _deleted
																					self._len -= 1
																					break
											if self._is_sparse():
																self._size_down()





						def __getitem__(							self      :	Union[str, Any]     ,a__      :	List[Any])						->       VAL:




											"""simple docstring"""







											for ind in self._iterate_buckets(__a):
																_lowerCAmelCase:Union[str, Any]									=  self._buckets[ind]
																if item is None:
																					break
																if item is _deleted:
																					continue
																if item.key == key:
																					return item.val
											raise KeyError(__a)





						def __len__(							self      :	Dict)						->       int:




											"""simple docstring"""







											return self._len





						def __iter__(							self      :	List[str])						->       Iterator[KEY]:




											"""simple docstring"""







											yield from (item.key for item in self._buckets if item)







						def __repr__(							self      :	Optional[Any])						->       str:




											"""simple docstring"""







											_lowerCAmelCase:str									=  ' ,'.join(
											    F'{item.key}: {item.val}' for item in self._buckets if item)
											return F'HashMap({val_string})'












"""simple docstring"""






# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch

import math
from typing import Union

import torch

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import randn_tensor
from .scheduling_utils import SchedulerMixin




class   a__			(       UpperCamelCase_					,	UpperCamelCase_  ):
						snake_case__             = 1





						@register_to_config
						def __init__(							self      :	Union[str, Any]     ,a__      :	List[str]=2000     ,a__      :	Tuple=0.1     ,a__      :	Union[str, Any]=20     ,a__      :	int=1E-3)						->       Any:




											"""simple docstring"""







											_lowerCAmelCase:Optional[Any]									=  None
											_lowerCAmelCase:List[Any]									=  None
											_lowerCAmelCase:Dict									=  None





						def       __UpperCamelCase     (							self      :	int     ,a__      :	Any     ,a__      :	Union[str, torch.device] = None)						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:str									=  torch.linspace(1     ,self.config.sampling_eps     ,a__     ,device=a__)





						def       __UpperCamelCase     (							self      :	Union[str, Any]     ,a__      :	str     ,a__      :	List[Any]     ,a__      :	Union[str, Any]     ,a__      :	Any=None)						->       Tuple:




											"""simple docstring"""







											if self.timesteps is None:
																raise ValueError(
																    '''`self.timesteps` is not set, you need to run \'set_timesteps\' after creating the scheduler''')

											# TODO(Patrick) better comments + non-PyTorch
											# postprocess model score
											_lowerCAmelCase:Union[str, Any]									=  (
											    -0.25 * t**2 * (self.config.beta_max - self.config.beta_min) - 0.5 * t * self.config.beta_min
											)
											_lowerCAmelCase:Dict									=  torch.sqrt(1.0 - torch.exp(2.0 * log_mean_coeff))
											_lowerCAmelCase:Optional[Any]									=  std.flatten()
											while len(std.shape) < len(score.shape):
																_lowerCAmelCase:str									=  std.unsqueeze(-1)
											_lowerCAmelCase:Optional[int]									=  -score / std

											# compute
											_lowerCAmelCase:Optional[Any]									=  -1.0 / len(self.timesteps)

											_lowerCAmelCase:Union[str, Any]									=  self.config.beta_min + t * (self.config.beta_max - self.config.beta_min)
											_lowerCAmelCase:Any									=  beta_t.flatten()
											while len(beta_t.shape) < len(x.shape):
																_lowerCAmelCase:List[str]									=  beta_t.unsqueeze(-1)
											_lowerCAmelCase:Tuple									=  -0.5 * beta_t * x

											_lowerCAmelCase:str									=  torch.sqrt(a__)
											_lowerCAmelCase:Union[str, Any]									=  drift - diffusion**2 * score
											_lowerCAmelCase:List[str]									=  x + drift * dt

											# add noise
											_lowerCAmelCase:Any									=  randn_tensor(x.shape     ,layout=x.layout     ,generator=a__     ,device=x.device     ,dtype=x.dtype)
											_lowerCAmelCase:Union[str, Any]									=  x_mean + diffusion * math.sqrt(-dt) * noise

											return x, x_mean







						def __len__(							self      :	int)						->       Tuple:




											"""simple docstring"""







											return self.config.num_train_timesteps






