




'''simple docstring'''

from __future__ import annotations

from collections.abc import MutableSequence



class 		SCREAMING_SNAKE_CASE__  :





			def __init__(      self						:    Optional[Any]      ,		a_						:    int      ,		a_						:    MutableSequence[float]							):



						"""simple docstring"""




						if len(a_							) != degree + 1:
									raise ValueError(
									    "The number of coefficients should be equal to the degree + 1."							)

						__snake_case			=		list(a_							)
						__snake_case			=		degree





			def __add__(      self						:    List[str]      ,		a_						:    Polynomial							):



						"""simple docstring"""




						if self.degree > polynomial_a.degree:
									__snake_case			=		self.coefficients[:]
									for i in range(polynomial_a.degree + 1							):
												coefficients[i] += polynomial_a.coefficients[i]
									return Polynomial(self.degree      ,		a_							)
						else:
									__snake_case			=		polynomial_a.coefficients[:]
									for i in range(self.degree + 1							):
												coefficients[i] += self.coefficients[i]
									return Polynomial(polynomial_a.degree      ,		a_							)





			def __sub__(      self						:    Any      ,		a_						:    Polynomial							):



						"""simple docstring"""




						return self + polynomial_a * Polynomial(0      ,		[-1]							)





			def __neg__(      self						:    Union[str, Any]							):



						"""simple docstring"""




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





			def __mul__(      self						:    Optional[int]      ,		a_						:    Polynomial							):



						"""simple docstring"""




						__snake_case			=		[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      ,		a_							)





			def 							A (      self						:    str      ,		a_						:    int | float							):



						"""simple docstring"""




						__snake_case			=		0
						for i in range(self.degree + 1							):
									result += self.coefficients[i] * (substitution**i)
						return result





			def __str__(      self						:    str							):



						"""simple docstring"""




						__snake_case			=		""
						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(a_							)

						return polynomial





			def __repr__(      self						:    str							):



						"""simple docstring"""




						return self.__str__()





			def 							A (      self						:    Tuple							):



						"""simple docstring"""




						__snake_case			=		[0] * self.degree
						for i in range(self.degree							):
									__snake_case			=		self.coefficients[i + 1] * (i + 1)
						return Polynomial(self.degree - 1      ,		a_							)





			def 							A (      self						:    List[Any]      ,		a_						:    int | float = 0							):



						"""simple docstring"""




						__snake_case			=		[0] * (self.degree + 2)
						__snake_case			=		constant
						for i in range(self.degree + 1							):
									__snake_case			=		self.coefficients[i] / (i + 1)
						return Polynomial(self.degree + 1      ,		a_							)





			def __eq__(      self						:    Union[str, Any]      ,		a_						:    object							):



						"""simple docstring"""




						if not isinstance(a_      ,		a_							):
									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						:    int      ,		a_						:    object							):



						"""simple docstring"""




						return not self.__eq__(a_							)












"""simple docstring"""


import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


lowerCamelCase__						= False
lowerCamelCase__						= True
lowerCamelCase__						= False


if __name__ == "__main__":
  lowerCamelCase__						= argparse.ArgumentParser()

  parser.add_argument(
      "--repo_path",
      default=None,
      type=str,
      required=True,
      help="The config json file corresponding to the architecture.",
  )

  parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")

  lowerCamelCase__						= parser.parse_args()

  lowerCamelCase__						= {
      "image_size": "sample_size",
      "num_res_blocks": "layers_per_block",
      "block_channels": "block_out_channels",
      "down_blocks": "down_block_types",
      "up_blocks": "up_block_types",
      "downscale_freq_shift": "freq_shift",
      "resnet_num_groups": "norm_num_groups",
      "resnet_act_fn": "act_fn",
      "resnet_eps": "norm_eps",
      "num_head_channels": "attention_head_dim",
  }

  lowerCamelCase__						= {
      "time_steps": "time_proj",
      "mid": "mid_block",
      "downsample_blocks": "down_blocks",
      "upsample_blocks": "up_blocks",
  }

  lowerCamelCase__						= "" if has_file(args.repo_path, "config.json") else "unet"

  with open(os.path.join(args.repo_path, subfolder, "config.json"), "r", encoding="utf-8") as reader:
    lowerCamelCase__						= reader.read()
    lowerCamelCase__						= json.loads(text)

  if do_only_config:
    for key in config_parameters_to_change.keys():
      config.pop(key, None)

  if has_file(args.repo_path, "config.json"):
    lowerCamelCase__						= UNetaDModel(**config)
  else:
    lowerCamelCase__						= UNetaDConditionModel if "ldm-text2im-large-256" in args.repo_path else UNetaDModel
    lowerCamelCase__						= class_name(**config)

  if do_only_config:
    model.save_config(os.path.join(args.repo_path, subfolder))

  lowerCamelCase__						= dict(model.config)

  if do_only_renaming:
    for key, value in config_parameters_to_change.items():
      if key in config:
        lowerCamelCase__						= config[key]
        del config[key]

    lowerCamelCase__						= [k.replace("UNetRes", "") for k in config["down_block_types"]]
    lowerCamelCase__						= [k.replace("UNetRes", "") for k in config["up_block_types"]]

  if do_only_weights:
    lowerCamelCase__						= torch.load(os.path.join(args.repo_path, subfolder, "diffusion_pytorch_model.bin"))

    lowerCamelCase__						= {}
    for param_key, param_value in state_dict.items():
      if param_key.endswith(".op.bias") or param_key.endswith(".op.weight"):
        continue
      lowerCamelCase__						= False
      for key, new_key in key_parameters_to_change.items():
        if not has_changed and param_key.split(".")[0] == key:
          lowerCamelCase__						= param_value
          lowerCamelCase__						= True
      if not has_changed:
        lowerCamelCase__						= param_value

    model.load_state_dict(new_state_dict)
    model.save_pretrained(os.path.join(args.repo_path, subfolder))
