



# 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							(			__lowerCamelCase  ,							__lowerCamelCase				):
		__lowerCAmelCase	:    List[Any]											=					1



		@register_to_config
		def __init__(     self     :Optional[int]   ,__lowercase     :Dict=2_0_0_0   ,__lowercase     :Union[str, Any]=0.1   ,__lowercase     :int=2_0   ,__lowercase     :List[Any]=1e-3  ):
						snake_case__	:      Tuple     		=	None
						snake_case__	:      Optional[Any]     		=	None
						snake_case__	:      List[Any]     		=	None



		def 	__lowerCamelCase			(     self     :str   ,__lowercase     :int   ,__lowercase     :Union[str, torch.device] = None  ):
						snake_case__	:      int     		=	torch.linspace(1   ,self.config.sampling_eps   ,__lowercase   ,device=__lowercase  )



		def 	__lowerCamelCase			(     self     :Optional[int]   ,__lowercase     :List[str]   ,__lowercase     :Union[str, Any]   ,__lowercase     :int   ,__lowercase     :Optional[int]=None  ):
						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
						snake_case__	:      Union[str, Any]     		=	(
						    -0.25 * t**2 * (self.config.beta_max - self.config.beta_min) - 0.5 * t * self.config.beta_min
						)
						snake_case__	:      str     		=	torch.sqrt(1.0 - torch.exp(2.0 * log_mean_coeff  )  )
						snake_case__	:      Optional[Any]     		=	std.flatten()
						while len(std.shape  ) < len(score.shape  ):
										snake_case__	:      Optional[Any]     		=	std.unsqueeze(-1  )
						snake_case__	:      Optional[int]     		=	-score / std

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

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

						snake_case__	:      Any     		=	torch.sqrt(__lowercase  )
						snake_case__	:      Any     		=	drift - diffusion**2 * score
						snake_case__	:      int     		=	x + drift * dt

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

						return x, x_mean






		def __len__(     self     :List[Any]  ):
						return self.config.num_train_timesteps






A__								=						[4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__								=						[3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__								=						{
    0: '''Sunday''',
    1: '''Monday''',
    2: '''Tuesday''',
    3: '''Wednesday''',
    4: '''Thursday''',
    5: '''Friday''',
    6: '''Saturday''',
}



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					str:


				"""simple docstring"""

				assert len(str(__lowerCAmelCase      )      ) > 2, "year should be in YYYY format"
				assert 1 <= month <= 12, "month should be between 1 to 12"
				assert 1 <= day <= 31, "day should be between 1 to 31"

				# Doomsday algorithm:
				snake_case__	:      Optional[int]     		=	year // 100
				snake_case__	:      List[str]     		=	(5 * (century % 4) + 2) % 7
				snake_case__	:      Dict     		=	year % 100
				snake_case__	:      Union[str, Any]     		=	centurian % 12
				snake_case__	:      List[Any]     		=	(
				    (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
				) % 7
				snake_case__	:      List[str]     		=	(
				    DOOMSDAY_NOT_LEAP[month - 1]
				    if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
				    else DOOMSDAY_LEAP[month - 1]
				)
				snake_case__	:      List[str]     		=	(dooms_day + day - day_anchor) % 7
				return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
				import doctest

				doctest.testmod()

