





'''simple docstring'''


import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def 							UpperCAmelCase_  (						__lowerCamelCase : Any     ,__lowerCamelCase : str     ,__lowerCamelCase : Union[str, Any]			):
   lowercase_      :List[str]         =			OmegaConf.load(__lowerCamelCase			)
   lowercase_      :str         =			torch.load(__lowerCamelCase     ,map_location="cpu"			)["model"]
   lowercase_      :Optional[int]         =			list(state_dict.keys()			)

   # extract state_dict for VQVAE
   lowercase_      :Tuple         =			{}
   lowercase_      :Any         =			"first_stage_model."
   for key in keys:
      if key.startswith(__lowerCamelCase			):
         lowercase_      :Tuple         =			state_dict[key]

    # extract state_dict for UNetLDM
   lowercase_      :Optional[Any]         =			{}
   lowercase_      :str         =			"model.diffusion_model."
   for key in keys:
      if key.startswith(__lowerCamelCase			):
         lowercase_      :Union[str, Any]         =			state_dict[key]

   lowercase_      :Optional[int]         =			config.model.params.first_stage_config.params
   lowercase_      :List[str]         =			config.model.params.unet_config.params

   lowercase_      :Any         =			VQModel(**__lowerCamelCase			).eval()
   vqvae.load_state_dict(__lowerCamelCase			)

   lowercase_      :str         =			UNetLDMModel(**__lowerCamelCase			).eval()
   unet.load_state_dict(__lowerCamelCase			)

   lowercase_      :List[Any]         =			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=__lowerCamelCase     ,)

   lowercase_      :Optional[Any]         =			LDMPipeline(__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase			)
   pipeline.save_pretrained(__lowerCamelCase			)


if __name__ == "__main__":
 lowerCAmelCase :					str 							=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 :					List[Any] 							=parser.parse_args()

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









'''simple docstring'''


def 							UpperCAmelCase_  (						__lowerCamelCase : str     ,__lowerCamelCase : str			):
   lowercase_      :Optional[Any]         =			len(__lowerCamelCase			)
   lowercase_      :List[Any]         =			[]
   for i in range(len(__lowerCamelCase			) - pat_len + 1			):
      lowercase_      :Dict         =			True
      for j in range(__lowerCamelCase			):
         if s[i + j] != pattern[j]:
            lowercase_      :int         =			False
            break
      if match_found:
         position.append(__lowerCamelCase			)
   return position


if __name__ == "__main__":
 assert naive_pattern_search('''ABCDEFG''', '''DE''') == [3]
 print(naive_pattern_search('''ABAAABCDBBABCDDEBCABC''', '''ABC'''))


