


'''simple docstring'''



import argparse

from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt


if __name__ == "__main__":
      __UpperCAmelCase    :Optional[int]				       =     argparse.ArgumentParser()

      parser.add_argument(
          "--checkpoint_path", default=None, type=str, required=True, help="Path to the checkpoint to convert."
      )
      parser.add_argument(
          "--original_config_file",
          type=str,
          required=True,
          help="The YAML config file corresponding to the original architecture.",
      )
      parser.add_argument(
          "--num_in_channels",
          default=None,
          type=int,
          help="The number of input channels. If `None` number of input channels will be automatically inferred.",
      )
      parser.add_argument(
          "--image_size",
          default=5_1_2,
          type=int,
          help=(
              "The image size that the model was trained on. Use 512 for Stable Diffusion v1.X and Stable Siffusion v2"
              " Base. Use 768 for Stable Diffusion v2."
          ),
      )
      parser.add_argument(
          "--extract_ema",
          action="store_true",
          help=(
              "Only relevant for checkpoints that have both EMA and non-EMA weights. Whether to extract the EMA weights"
              " or not. Defaults to `False`. Add `--extract_ema` to extract the EMA weights. EMA weights usually yield"
              " higher quality images for inference. Non-EMA weights are usually better to continue fine-tuning."
          ),
      )
      parser.add_argument(
          "--upcast_attention",
          action="store_true",
          help=(
              "Whether the attention computation should always be upcasted. This is necessary when running stable"
              " diffusion 2.1."
          ),
      )
      parser.add_argument(
          "--from_safetensors",
          action="store_true",
          help="If `--checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.",
      )
      parser.add_argument(
          "--to_safetensors",
          action="store_true",
          help="Whether to store pipeline in safetensors format or not.",
      )
      parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
      parser.add_argument("--device", type=str, help="Device to use (e.g. cpu, cuda:0, cuda:1, etc.)")




      def 			_a			(		_lowercase      :			List[Any]						):





           '''simple docstring'''






           if string == "True":
                return True
           elif string == "False":
                return False
           else:
                raise ValueError(F'could not parse string as bool {string}'						)

      parser.add_argument(
          "--use_linear_projection", help="Override for use linear projection", required=False, type=parse_bool
      )

      parser.add_argument("--cross_attention_dim", help="Override for cross attention_dim", required=False, type=int)

      __UpperCAmelCase    :Any				       =     parser.parse_args()

      __UpperCAmelCase    :Dict				       =     download_controlnet_from_original_ckpt(
          checkpoint_path=args.checkpoint_path,
          original_config_file=args.original_config_file,
          image_size=args.image_size,
          extract_ema=args.extract_ema,
          num_in_channels=args.num_in_channels,
          upcast_attention=args.upcast_attention,
          from_safetensors=args.from_safetensors,
          device=args.device,
          use_linear_projection=args.use_linear_projection,
          cross_attention_dim=args.cross_attention_dim,
      )

      controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)



'''simple docstring'''



from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt




def 			_a			(		_lowercase      :			int						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    int(number**0.5						)
     return number == sq * sq




def 			_a			(		_lowercase      :			int    ,      _lowercase      :			int    ,      _lowercase      :			int    ,      _lowercase      :			int    ,      _lowercase      :			int    ,      _lowercase      :			int						):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
     __UpperCAmelCase			:				int													=    x_den * y_den * z_den
     __UpperCAmelCase			:				int													=    gcd(_lowercase    ,      _lowercase						)
     top //= hcf
     bottom //= hcf
     return top, bottom




def 			_a			(		_lowercase      :			int = 35						):





     '''simple docstring'''






     __UpperCAmelCase			:				set													=    set()
     __UpperCAmelCase			:				int
     __UpperCAmelCase			:				Fraction													=    Fraction(0						)
     __UpperCAmelCase			:				tuple[int, int]

     for x_num in range(1    ,      order + 1						):
          for x_den in range(x_num + 1    ,      order + 1						):
               for y_num in range(1    ,      order + 1						):
                    for y_den in range(y_num + 1    ,      order + 1						):
                         # n=1
                         __UpperCAmelCase			:				Optional[int]													=    x_num * y_den + x_den * y_num
                         __UpperCAmelCase			:				Dict													=    x_den * y_den
                         __UpperCAmelCase			:				List[Any]													=    gcd(_lowercase    ,      _lowercase						)
                         z_num //= hcf
                         z_den //= hcf
                         if 0 < z_num < z_den <= order:
                              __UpperCAmelCase			:				Dict													=    add_three(
                                  _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase						)
                              unique_s.add(_lowercase						)

                         # n=2
                         __UpperCAmelCase			:				Optional[int]													=    (
                             x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
                         )
                         __UpperCAmelCase			:				Any													=    x_den * x_den * y_den * y_den
                         if is_sq(_lowercase						) and is_sq(_lowercase						):
                              __UpperCAmelCase			:				List[Any]													=    int(sqrt(_lowercase						)						)
                              __UpperCAmelCase			:				Tuple													=    int(sqrt(_lowercase						)						)
                              __UpperCAmelCase			:				Union[str, Any]													=    gcd(_lowercase    ,      _lowercase						)
                              z_num //= hcf
                              z_den //= hcf
                              if 0 < z_num < z_den <= order:
                                   __UpperCAmelCase			:				Union[str, Any]													=    add_three(
                                       _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase						)
                                   unique_s.add(_lowercase						)

                    # n=-1
                         __UpperCAmelCase			:				Union[str, Any]													=    x_num * y_num
                         __UpperCAmelCase			:				List[Any]													=    x_den * y_num + x_num * y_den
                         __UpperCAmelCase			:				Any													=    gcd(_lowercase    ,      _lowercase						)
                         z_num //= hcf
                         z_den //= hcf
                         if 0 < z_num < z_den <= order:
                              __UpperCAmelCase			:				Optional[Any]													=    add_three(
                                  _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase						)
                              unique_s.add(_lowercase						)

                         # n=2
                         __UpperCAmelCase			:				Optional[Any]													=    x_num * x_num * y_num * y_num
                         __UpperCAmelCase			:				Dict													=    (
                             x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
                         )
                         if is_sq(_lowercase						) and is_sq(_lowercase						):
                              __UpperCAmelCase			:				Any													=    int(sqrt(_lowercase						)						)
                              __UpperCAmelCase			:				List[Any]													=    int(sqrt(_lowercase						)						)
                              __UpperCAmelCase			:				Any													=    gcd(_lowercase    ,      _lowercase						)
                              z_num //= hcf
                              z_den //= hcf
                              if 0 < z_num < z_den <= order:
                                   __UpperCAmelCase			:				int													=    add_three(
                                       _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase    ,      _lowercase						)
                                   unique_s.add(_lowercase						)

     for num, den in unique_s:
          total += Fraction(_lowercase    ,      _lowercase						)

     return total.denominator + total.numerator


if __name__ == "__main__":
      print(f"""{solution() = }""")