


"""simple docstring"""




import json
import sys



def     __a   (	a,		a       ):





       """simple docstring"""







       with open(a,		encoding="utf-8"       ) as f:
              _a							 =					json.load(a       )

       _a							 =					["<details>", "<summary>Show updated benchmarks!</summary>", " "]

       for benchmark_name in sorted(a       ):
              _a							 =					results[benchmark_name]

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

              _a							 =					"| metric |"
              _a							 =					"|--------|"
              _a							 =					"| new / old (diff) |"
              for metric_name in sorted(a       ):
                     _a							 =					benchmark_res[metric_name]
                     _a							 =					metric_vals["new"]
                     _a							 =					metric_vals.get("old",		a       )
                     _a							 =					metric_vals.get("diff",		a       )

                     _a							 =					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__":
   __SCREAMING_SNAKE_CASE      		=    sys.argv[1]
   __SCREAMING_SNAKE_CASE      		=    sys.argv[2]

   format_json_to_md(input_json_file, output_md_file)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase  :      Union[str, Any]			 ={
    """configuration_clap""": [
        """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ClapAudioConfig""",
        """ClapConfig""",
        """ClapTextConfig""",
    ],
    """processing_clap""": ["""ClapProcessor"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowerCAmelCase  :      Union[str, Any]			 =[
					    """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """ClapModel""",
					    """ClapPreTrainedModel""",
					    """ClapTextModel""",
					    """ClapTextModelWithProjection""",
					    """ClapAudioModel""",
					    """ClapAudioModelWithProjection""",
					]
					_lowerCAmelCase  :      List[str]			 =["""ClapFeatureExtractor"""]

if TYPE_CHECKING:
					from .configuration_clap import (
					    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
					    ClapAudioConfig,
					    ClapConfig,
					    ClapTextConfig,
					)
					from .processing_clap import ClapProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_clap import ClapFeatureExtractor
										from .modeling_clap import (
										    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ClapAudioModel,
										    ClapAudioModelWithProjection,
										    ClapModel,
										    ClapPreTrainedModel,
										    ClapTextModel,
										    ClapTextModelWithProjection,
										)


else:
					import sys

					_lowerCAmelCase  :      Optional[int]			 =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)