import json
import sys


def        __lowerCAmelCase      (	_A			,_A       ):



							"""simple docstring"""


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

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

							for benchmark_name in sorted(__UpperCAmelCase       ):
														_lowercase					=						results[benchmark_name]

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

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

																					_lowercase					=						f''' {new_val:f}''' if isinstance(__UpperCAmelCase			,(int, float)       ) else """None"""

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

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

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

							output_md.append("""</details>"""       )

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


if __name__ == "__main__":
				A_:   Tuple   =      sys.argv[1]
				A_:   List[str]   =      sys.argv[2]

				format_json_to_md(input_json_file, output_md_file)








'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a    :							Tuple										=    {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a    :							str										=    [
							    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'EncodecModel',
							    'EncodecPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_encodec import (
							    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    EncodecConfig,
							)
							from .feature_extraction_encodec import EncodecFeatureExtractor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encodec import (
														    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
														    EncodecModel,
														    EncodecPreTrainedModel,
														)

else:
							import sys

							a    :							List[Any]										=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

