






import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version





def 						__UpperCAmelCase			(     *a_							,     a_ = None							,     a_=True							,     a_=2):
							from .. import __version__

							snake_case_				=							take_from
							snake_case_				=							()
							if not isinstance(args[0]							,     lowercase__):
														snake_case_				=							(args,)

							for attribute, version_name, message in args:
														if version.parse(version.parse(lowercase__).base_version) >= version.parse(lowercase__):
																					raise ValueError(
																					    f'''The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''''
																					    f''' version {__version__} is >= {version_name}''')

														snake_case_				=							None
														if isinstance(lowercase__							,     lowercase__) and attribute in deprecated_kwargs:
																					values += (deprecated_kwargs.pop(lowercase__),)
																					snake_case_				=							f'''The `{attribute}` argument is deprecated and will be removed in version {version_name}.'''
														elif hasattr(lowercase__							,     lowercase__):
																					values += (getattr(lowercase__							,     lowercase__),)
																					snake_case_				=							f'''The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'''
														elif deprecated_kwargs is None:
																					snake_case_				=							f'''`{attribute}` is deprecated and will be removed in version {version_name}.'''

														if warning is not None:
																					snake_case_				=							warning + ''' ''' if standard_warn else ''''''
																					warnings.warn(warning + message							,     lowercase__							,     stacklevel=lowercase__)

							if isinstance(lowercase__							,     lowercase__) and len(lowercase__) > 0:
														snake_case_				=							inspect.getouterframes(inspect.currentframe())[1]
														snake_case_				=							call_frame.filename
														snake_case_				=							call_frame.lineno
														snake_case_				=							call_frame.function
														snake_case_				=							next(iter(deprecated_kwargs.items()))
														raise TypeError(f'''{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`''')

							if len(lowercase__) == 0:
														return
							elif len(lowercase__) == 1:
														return values[0]
							return values









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

import datasets


__lowerCAmelCase	: Optional[Any]  				='\\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	: Any  				='\\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	: Optional[Any]  				=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        _lowercase      (			datasets.Metric       ):






				'''simple docstring'''



				def 		__magic_name__(       self			:Optional[Any]	)		->			List[str]:
										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 		__magic_name__(       self			:Any			,			lowerCAmelCase__			:Optional[int]			,			lowerCAmelCase__			:Any	)		->			Optional[int]:
										__SCREAMING_SNAKE_CASE						:     Tuple					=		0.0
										for i, j in zip(lowerCAmelCase__			,			lowerCAmelCase__	):
																n_correct += 1.0 if math_equivalence.is_equiv(lowerCAmelCase__			,			lowerCAmelCase__	) else 0.0
										__SCREAMING_SNAKE_CASE						:     str					=		n_correct / len(lowerCAmelCase__	)
										return {
										    "accuracy": accuracy,
										}
