






"""simple docstring"""
from __future__ import annotations

from collections.abc import MutableSequence



class      SCREAMING_SNAKE_CASE  :





 """simple docstring"""




 def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_							):
  if len(lowerCAmelCase_							) != degree + 1:
   raise ValueError(
       """The number of coefficients should be equal to the degree + 1."""							)

  A_		:						list[float]	    =   list(lowerCAmelCase_							)
  A_		:						List[str]	    =   degree





 def __add__(self     ,     lowerCAmelCase_							):

  if self.degree > polynomial_a.degree:
   A_		:						Optional[int]	    =   self.coefficients[:]
   for i in range(polynomial_a.degree + 1							):
    coefficients[i] += polynomial_a.coefficients[i]
   return Polynomial(self.degree     ,     lowerCAmelCase_							)
  else:
   A_		:						Union[str, Any]	    =   polynomial_a.coefficients[:]
   for i in range(self.degree + 1							):
    coefficients[i] += self.coefficients[i]
   return Polynomial(polynomial_a.degree     ,     lowerCAmelCase_							)





 def __sub__(self     ,     lowerCAmelCase_							):
  return self + polynomial_a * Polynomial(0     ,     [-1]							)





 def __neg__(self							):
  return Polynomial(self.degree     ,     [-c for c in self.coefficients]							)





 def __mul__(self     ,     lowerCAmelCase_							):
  A_		:						list[float]	    =   [0] * (self.degree + polynomial_a.degree + 1)
  for i in range(self.degree + 1							):
   for j in range(polynomial_a.degree + 1							):
    coefficients[i + j] += (
        self.coefficients[i] * polynomial_a.coefficients[j]
    )

  return Polynomial(self.degree + polynomial_a.degree     ,     lowerCAmelCase_							)





 def    lowerCamelCase(self     ,     lowerCAmelCase_							):
  A_		:						int | float	    =   0
  for i in range(self.degree + 1							):
   result += self.coefficients[i] * (substitution**i)
  return result





 def __str__(self							):
  A_		:						Optional[Any]	    =   """"""
  for i in range(self.degree     ,     -1     ,     -1							):
   if self.coefficients[i] == 0:
    continue
   elif self.coefficients[i] > 0:
    if polynomial:
     polynomial += " + "
   else:
    polynomial += " - "

   if i == 0:
    polynomial += str(abs(self.coefficients[i]							)							)
   elif i == 1:
    polynomial += str(abs(self.coefficients[i]							)							) + "x"
   else:
    polynomial += str(abs(self.coefficients[i]							)							) + "x^" + str(lowerCAmelCase_							)

  return polynomial





 def __repr__(self							):
  return self.__str__()





 def    lowerCamelCase(self							):
  A_		:						list[float]	    =   [0] * self.degree
  for i in range(self.degree							):
   A_		:						Tuple	    =   self.coefficients[i + 1] * (i + 1)
  return Polynomial(self.degree - 1     ,     lowerCAmelCase_							)





 def    lowerCamelCase(self     ,     lowerCAmelCase_ = 0							):
  A_		:						list[float]	    =   [0] * (self.degree + 2)
  A_		:						Optional[int]	    =   constant
  for i in range(self.degree + 1							):
   A_		:						str	    =   self.coefficients[i] / (i + 1)
  return Polynomial(self.degree + 1     ,     lowerCAmelCase_							)





 def __eq__(self     ,     lowerCAmelCase_							):
  if not isinstance(lowerCAmelCase_     ,     lowerCAmelCase_							):
   return False

  if self.degree != polynomial_a.degree:
   return False

  for i in range(self.degree + 1							):
   if self.coefficients[i] != polynomial_a.coefficients[i]:
    return False

  return True





 def __ne__(self     ,     lowerCAmelCase_							):
  return not self.__eq__(lowerCAmelCase_							)









"""simple docstring"""
import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__					):
	A_		:						str	    =   OmegaConf.load(snake_case__					)
	A_		:						List[str]	    =   torch.load(snake_case__   ,   map_location="""cpu"""					)["""model"""]
	A_		:						Any	    =   list(state_dict.keys()					)

	# extract state_dict for VQVAE
	A_		:						Any	    =   {}
	A_		:						Union[str, Any]	    =   """first_stage_model."""
	for key in keys:
		if key.startswith(snake_case__					):
			A_		:						List[Any]	    =   state_dict[key]

    # extract state_dict for UNetLDM
	A_		:						Tuple	    =   {}
	A_		:						Dict	    =   """model.diffusion_model."""
	for key in keys:
		if key.startswith(snake_case__					):
			A_		:						Optional[Any]	    =   state_dict[key]

	A_		:						List[Any]	    =   config.model.params.first_stage_config.params
	A_		:						Tuple	    =   config.model.params.unet_config.params

	A_		:						Any	    =   VQModel(**snake_case__					).eval()
	vqvae.load_state_dict(snake_case__					)

	A_		:						Optional[int]	    =   UNetLDMModel(**snake_case__					).eval()
	unet.load_state_dict(snake_case__					)

	A_		:						List[str]	    =   DDIMScheduler(
	    timesteps=config.model.params.timesteps   ,   beta_schedule="""scaled_linear"""   ,   beta_start=config.model.params.linear_start   ,   beta_end=config.model.params.linear_end   ,   clip_sample=snake_case__   ,   )

	A_		:						str	    =   LDMPipeline(snake_case__   ,   snake_case__   ,   snake_case__					)
	pipeline.save_pretrained(snake_case__					)


if __name__ == "__main__":
							_lowerCAmelCase         =							argparse.ArgumentParser()
							parser.add_argument("--checkpoint_path", type=str, required=True)
							parser.add_argument("--config_path", type=str, required=True)
							parser.add_argument("--output_path", type=str, required=True)
							_lowerCAmelCase         =							parser.parse_args()

							convert_ldm_original(args.checkpoint_path, args.config_path, args.output_path)

