


import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('9.1.0'):
   UpperCAmelCase_				:			int   =	{
       'linear': PIL.Image.Resampling.BILINEAR,
       'bilinear': PIL.Image.Resampling.BILINEAR,
       'bicubic': PIL.Image.Resampling.BICUBIC,
       'lanczos': PIL.Image.Resampling.LANCZOS,
       'nearest': PIL.Image.Resampling.NEAREST,
   }
else:
   UpperCAmelCase_				:			Optional[Any]   =	{
       'linear': PIL.Image.LINEAR,
       'bilinear': PIL.Image.BILINEAR,
       'bicubic': PIL.Image.BICUBIC,
       'lanczos': PIL.Image.LANCZOS,
       'nearest': PIL.Image.NEAREST,
   }







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[int]    )     ->		Union[str, Any]:

   """simple docstring"""

   a_ :		List[Any]							=  (images / 2 + 0.5).clamp(0  ,   1    )
   a_ :		Tuple							=  images.cpu().permute(0  ,   2  ,   3  ,   1    ).float().numpy()
   a_ :		Union[str, Any]							=  numpy_to_pil(__A    )
   return images







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Dict    )     ->		Any:

   """simple docstring"""

   if images.ndim == 3:
      a_ :		Any							=  images[None, ...]
   a_ :		Optional[int]							=  (images * 2_55).round().astype('uint8'    )
   if images.shape[-1] == 1:
      # special case for grayscale (single channel) images
      a_ :		Any							=  [Image.fromarray(image.squeeze()  ,   mode='L'    ) for image in images]
   else:
      a_ :		Tuple							=  [Image.fromarray(__A    ) for image in images]

   return pil_images






import json
import sys







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[Any]  ,   __A			:      List[str]    )     ->		Tuple:

       """simple docstring"""

       with open(__A  ,   encoding='utf-8'    ) as f:
              a_ :		Union[str, Any]							=  json.load(__A    )

       a_ :		Any							=  ['<details>', '<summary>Show updated benchmarks!</summary>', ' ']

       for benchmark_name in sorted(__A    ):
              a_ :		List[str]							=  results[benchmark_name]

              a_ :		int							=  benchmark_name.split('/'    )[-1]
              output_md.append(F"""### Benchmark: {benchmark_file_name}"""    )

              a_ :		Any							=  '| metric |'
              a_ :		Optional[Any]							=  '|--------|'
              a_ :		int							=  '| new / old (diff) |'
              for metric_name in sorted(__A    ):
                     a_ :		List[Any]							=  benchmark_res[metric_name]
                     a_ :		int							=  metric_vals['new']
                     a_ :		Union[str, Any]							=  metric_vals.get('old'  ,   __A    )
                     a_ :		Optional[int]							=  metric_vals.get('diff'  ,   __A    )

                     a_ :		str							=  F""" {new_val:f}""" if isinstance(__A  ,   (int, float)    ) else 'None'

                     if old_val is not None:
                            val_str += F""" / {old_val:f}""" if isinstance(__A  ,   (int, float)    ) else "None"
                     if dif_val is not None:
                            val_str += F""" ({dif_val:f})""" if isinstance(__A  ,   (int, float)    ) else "None"

                     title += " " + metric_name + " |"
                     lines += "---|"
                     value += val_str + " |"

              output_md += [title, lines, value, " "]

       output_md.append('</details>'    )

       with open(__A  ,   'w'  ,   encoding='utf-8'    ) as f:
              f.writelines('\n'.join(__A    )    )


if __name__ == "__main__":
   UpperCAmelCase_				:			int   =	sys.argv[1]
   UpperCAmelCase_				:			Any   =	sys.argv[2]

   format_json_to_md(input_json_file, output_md_file)


