

'''simple docstring'''



import json
import sys

def 	lowerCamelCase__							(   a__      ,   a__)		->     Tuple:



    """simple docstring"""







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

    _snake_case			:			List[str]				       =		["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

    for benchmark_name in sorted(snake_case__):
        _snake_case			:			List[Any]				       =		results[benchmark_name]

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

        _snake_case			:			Dict				       =		"""| metric |"""
        _snake_case			:			Dict				       =		"""|--------|"""
        _snake_case			:			List[str]				       =		"""| new / old (diff) |"""
        for metric_name in sorted(snake_case__):
            _snake_case			:			List[str]				       =		benchmark_res[metric_name]
            _snake_case			:			List[str]				       =		metric_vals["""new"""]
            _snake_case			:			List[str]				       =		metric_vals.get('old'      ,   snake_case__)
            _snake_case			:			Dict				       =		metric_vals.get('diff'      ,   snake_case__)

            _snake_case			:			Any				       =		F""" {new_val:f}""" if isinstance(snake_case__      ,   (int, float)) else """None"""

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

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

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

    output_md.append('</details>')

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


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)











"""simple docstring"""
import math_equivalence  # From: git+https://github.com/hendrycks/math.git

import datasets


_lowerCAmelCase       =				"\\n@article{hendrycksmath2021,\n  title={Measuring Mathematical Problem Solving With the MATH Dataset},\n  author={Dan Hendrycks\n    and Collin Burns\n    and Saurav Kadavath\n    and Akul Arora\n    and Steven Basart\n    and Eric Tang\n    and Dawn Song\n    and Jacob Steinhardt},\n  journal={arXiv preprint arXiv:2103.03874},\n  year={2021}\n}\n"


_lowerCAmelCase       =				"\\nThis metric is used to assess performance on the Mathematics Aptitude Test of Heuristics (MATH) dataset.\nIt first canonicalizes the inputs (e.g., converting \"1/2\" to \"\\frac{1}{2}\") and then computes accuracy.\n"


_lowerCAmelCase       =				r"\nCalculates accuracy after canonicalizing inputs.\n\nArgs:\n    predictions: list of predictions to score. Each prediction\n        is a string that contains natural language and LaTex.\n    references: list of reference for each prediction. Each\n        reference is a string that contains natural language\n        and LaTex.\nReturns:\n    accuracy: accuracy after canonicalizing inputs\n        (e.g., converting \"1/2\" to \"\\frac{1}{2}\")\n\nExamples:\n    >>> metric = datasets.load_metric(\"competition_math\")\n    >>> results = metric.compute(references=[\"\\frac{1}{2}\"], predictions=[\"1/2\"])\n    >>> print(results)\n    {'accuracy': 1.0}\n"



@datasets.utils.file_utils.add_end_docstrings(_DESCRIPTION							,							_KWARGS_DESCRIPTION    )
class   SCREAMING_SNAKE_CASE	(					datasets.Metric    ):





	"""simple docstring"""




	def  lowerCamelCase(self				):
		return datasets.MetricInfo(
		    description=_DESCRIPTION  ,  citation=_CITATION  ,  inputs_description=_KWARGS_DESCRIPTION  ,  features=datasets.Features(
		        {
		            """predictions""": datasets.Value("""string"""				),
		            """references""": datasets.Value("""string"""				),
		        }				)  ,  homepage="""https://github.com/hendrycks/math"""  ,  codebase_urls=["""https://github.com/hendrycks/math"""]  ,  )





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    Optional[Any]						     = 0.0
		for i, j in zip(lowerCAmelCase_  ,  lowerCAmelCase_				):
			n_correct += 1.0 if math_equivalence.is_equiv(lowerCAmelCase_  ,  lowerCAmelCase_				) else 0.0
		A_		:    List[str]						     = n_correct / len(lowerCAmelCase_				)
		return {
		    "accuracy": accuracy,
		}

