




'''simple docstring'''





import numpy as np
import torch
from imwatermark import WatermarkEncoder


# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
UpperCamelCase_						:      Tuple       =						0B1011_0011_1110_1100_1001_0000_0111_1011_1011_0001_1001_1110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
UpperCamelCase_						:      List[Any]       =						[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]

class        _a    :






     def __init__(			self   )							->      Optional[Any]:
          _snake_case							=				WATERMARK_BITS
          _snake_case							=				WatermarkEncoder()

          self.encoder.set_watermark("bits" ,self.watermark   )






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      List[Any]:
          # can't encode images that are smaller than 256
          if images.shape[-1] < 256:
               return images

          _snake_case							=				(255 * (images / 2 + 0.5)).cpu().permute(0 ,2 ,3 ,1   ).float().numpy()

          _snake_case							=				[self.encoder.encode(_SCREAMING_SNAKE_CASE ,"dwtDct"   ) for image in images]

          _snake_case							=				torch.from_numpy(np.array(_SCREAMING_SNAKE_CASE   )   ).permute(0 ,3 ,1 ,2   )

          _snake_case							=				torch.clamp(2 * (images / 255 - 0.5) ,min=-1.0 ,max=1.0   )
          return images








'''simple docstring'''





import fire

from utils import calculate_rouge, save_json





def      __a     (       _UpperCamelCase:   Tuple ,						_UpperCamelCase:   Optional[int] ,						_UpperCamelCase:   Optional[int]=None ,						**_UpperCamelCase:   Any   )						->			Optional[Any]:

     """simple docstring"""




     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()]
     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()][: len(_UpperCamelCase   )]
     _snake_case							=				calculate_rouge(_UpperCamelCase ,						_UpperCamelCase ,						**_UpperCamelCase   )
     if save_path is not None:
          save_json(_UpperCamelCase ,						_UpperCamelCase ,						indent=_UpperCamelCase   )
     return metrics  # these print nicely


if __name__ == "__main__":
   fire.Fire(calculate_rouge_path)


