





'''simple docstring'''






import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config






@pytest.fixture(scope="session"	)
def      __A						(							):
		lowerCAmelCase     :    str						=   1_0
		lowerCAmelCase     :    Optional[Any]						=   datasets.Features(
		    {
		        "tokens": datasets.Sequence(datasets.Value("string"	)	),
		        "labels": datasets.Sequence(datasets.ClassLabel(names=["negative", "positive"]	)	),
		        "answers": datasets.Sequence(
		            {
		                "text": datasets.Value("string"	),
		                "answer_start": datasets.Value("int32"	),
		            }	),
		        "id": datasets.Value("int64"	),
		    }	)
		lowerCAmelCase     :    Dict						=   datasets.Dataset.from_dict(
		    {
		        "tokens": [["foo"] * 5] * n,
		        "labels": [[1] * 5] * n,
		        "answers": [{"answer_start": [9_7], "text": ["1976"]}] * 1_0,
		        "id": list(range(a_	)	),
		    }      ,features=a_      ,)
		return dataset






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int      ,a_						:  Any	):
		lowerCAmelCase     :    Dict						=   str(tmp_path_factory.mktemp("data"	) / "file.arrow"	)
		dataset.map(cache_file_name=a_	)
		return filename


# FILE_CONTENT + files


lowerCAmelCase       		=      """\
    Text data.
    Second line of data."""






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		lowerCAmelCase     :    List[Any]						=   tmp_path_factory.mktemp("data"	) / "file.txt"
		lowerCAmelCase     :    Optional[Any]						=   FILE_CONTENT
		with open(a_      ,"w"	) as f:
				f.write(a_	)
		return filename






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Any	):
		import bza

		lowerCAmelCase     :    Any						=   tmp_path_factory.mktemp("data"	) / "file.txt.bz2"
		lowerCAmelCase     :    List[str]						=   bytes(a_      ,"utf-8"	)
		with bza.open(a_      ,"wb"	) as f:
				f.write(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Optional[Any]	):
		import gzip

		lowerCAmelCase     :    str						=   str(tmp_path_factory.mktemp("data"	) / "file.txt.gz"	)
		lowerCAmelCase     :    Optional[Any]						=   bytes(a_      ,"utf-8"	)
		with gzip.open(a_      ,"wb"	) as f:
				f.write(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		if datasets.config.LZ4_AVAILABLE:
				import lza.frame

				lowerCAmelCase     :    Tuple						=   tmp_path_factory.mktemp("data"	) / "file.txt.lz4"
				lowerCAmelCase     :    List[str]						=   bytes(a_      ,"utf-8"	)
				with lza.frame.open(a_      ,"wb"	) as f:
						f.write(a_	)
				return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Union[str, Any]      ,a_						:  Optional[Any]	):
		if datasets.config.PY7ZR_AVAILABLE:
				import pyazr

				lowerCAmelCase     :    Optional[Any]						=   tmp_path_factory.mktemp("data"	) / "file.txt.7z"
				with pyazr.SevenZipFile(a_      ,"w"	) as archive:
						archive.write(a_      ,arcname=os.path.basename(a_	)	)
				return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str      ,a_						:  Optional[Any]	):
		import tarfile

		lowerCAmelCase     :    List[Any]						=   tmp_path_factory.mktemp("data"	) / "file.txt.tar"
		with tarfile.TarFile(a_      ,"w"	) as f:
				f.add(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Tuple	):
		import lzma

		lowerCAmelCase     :    Optional[int]						=   tmp_path_factory.mktemp("data"	) / "file.txt.xz"
		lowerCAmelCase     :    List[Any]						=   bytes(a_      ,"utf-8"	)
		with lzma.open(a_      ,"wb"	) as f:
				f.write(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[Any]      ,a_						:  str	):
		import zipfile

		lowerCAmelCase     :    Optional[Any]						=   tmp_path_factory.mktemp("data"	) / "file.txt.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		if datasets.config.ZSTANDARD_AVAILABLE:
				import zstandard as zstd

				lowerCAmelCase     :    Optional[int]						=   tmp_path_factory.mktemp("data"	) / "file.txt.zst"
				lowerCAmelCase     :    Dict						=   bytes(a_      ,"utf-8"	)
				with zstd.open(a_      ,"wb"	) as f:
						f.write(a_	)
				return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Union[str, Any]	):
		lowerCAmelCase     :    List[Any]						=   tmp_path_factory.mktemp("data"	) / "file.xml"
		lowerCAmelCase     :    Optional[int]						=   textwrap.dedent(
		    "\\n    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>\n    <tmx version=\"1.4\">\n      <header segtype=\"sentence\" srclang=\"ca\" />\n      <body>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>"	)
		with open(a_      ,"w"	) as f:
				f.write(a_	)
		return filename


lowerCAmelCase       		=      [
    {"""col_1""": """0""", """col_2""": 0, """col_3""": 0.0},
    {"""col_1""": """1""", """col_2""": 1, """col_3""": 1.0},
    {"""col_1""": """2""", """col_2""": 2, """col_3""": 2.0},
    {"""col_1""": """3""", """col_2""": 3, """col_3""": 3.0},
]
lowerCAmelCase       		=      [
    {"""col_1""": """4""", """col_2""": 4, """col_3""": 4.0},
    {"""col_1""": """5""", """col_2""": 5, """col_3""": 5.0},
]
lowerCAmelCase       		=      {
    """col_1""": ["""0""", """1""", """2""", """3"""],
    """col_2""": [0, 1, 2, 3],
    """col_3""": [0.0, 1.0, 2.0, 3.0],
}

lowerCAmelCase       		=      [
    {"""col_3""": 0.0, """col_1""": """0""", """col_2""": 0},
    {"""col_3""": 1.0, """col_1""": """1""", """col_2""": 1},
]

lowerCAmelCase       		=      [
    {"""col_1""": """s0""", """col_2""": 0, """col_3""": 0.0},
    {"""col_1""": """s1""", """col_2""": 1, """col_3""": 1.0},
    {"""col_1""": """s2""", """col_2""": 2, """col_3""": 2.0},
    {"""col_1""": """s3""", """col_2""": 3, """col_3""": 3.0},
]






@pytest.fixture(scope="session"	)
def      __A						(							):
		return DATA_DICT_OF_LISTS






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Union[str, Any]	):
		lowerCAmelCase     :    int						=   datasets.Dataset.from_dict(a_	)
		lowerCAmelCase     :    Dict						=   str(tmp_path_factory.mktemp("data"	) / "dataset.arrow"	)
		dataset.map(cache_file_name=a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int	):
		lowerCAmelCase     :    Dict						=   str(tmp_path_factory.mktemp("data"	) / "dataset.sqlite"	)
		with contextlib.closing(sqlitea.connect(a_	)	) as con:
				lowerCAmelCase     :    str						=   con.cursor()
				cur.execute("CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"	)
				for item in DATA:
						cur.execute("INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)"      ,tuple(item.values()	)	)
				con.commit()
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		lowerCAmelCase     :    Tuple						=   str(tmp_path_factory.mktemp("data"	) / "dataset.csv"	)
		with open(a_      ,"w"      ,newline=""	) as f:
				lowerCAmelCase     :    Optional[int]						=   csv.DictWriter(a_      ,fieldnames=["col_1", "col_2", "col_3"]	)
				writer.writeheader()
				for item in DATA:
						writer.writerow(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int	):
		lowerCAmelCase     :    Tuple						=   str(tmp_path_factory.mktemp("data"	) / "dataset2.csv"	)
		with open(a_      ,"w"      ,newline=""	) as f:
				lowerCAmelCase     :    int						=   csv.DictWriter(a_      ,fieldnames=["col_1", "col_2", "col_3"]	)
				writer.writeheader()
				for item in DATA:
						writer.writerow(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Dict      ,a_						:  Union[str, Any]	):
		import bza

		lowerCAmelCase     :    Optional[Any]						=   tmp_path_factory.mktemp("data"	) / "dataset.csv.bz2"
		with open(a_      ,"rb"	) as f:
				lowerCAmelCase     :    int						=   f.read()
		# data = bytes(FILE_CONTENT, "utf-8")
		with bza.open(a_      ,"wb"	) as f:
				f.write(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[str]      ,a_						:  str      ,a_						:  Optional[int]	):
		lowerCAmelCase     :    Union[str, Any]						=   tmp_path_factory.mktemp("data"	) / "dataset.csv.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(a_	)	)
				f.write(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Tuple      ,a_						:  Union[str, Any]      ,a_						:  int	):
		lowerCAmelCase     :    List[Any]						=   tmp_path_factory.mktemp("data"	) / "dataset.csv.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(csv_path.replace(".csv"      ,".CSV"	)	)	)
				f.write(a_      ,arcname=os.path.basename(csva_path.replace(".csv"      ,".CSV"	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Dict      ,a_						:  str      ,a_						:  Any	):
		lowerCAmelCase     :    Union[str, Any]						=   tmp_path_factory.mktemp("data"	) / "dataset_with_dir.csv.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		lowerCAmelCase     :    List[str]						=   str(tmp_path_factory.mktemp("data"	) / "dataset.parquet"	)
		lowerCAmelCase     :    Dict						=   pa.schema(
		    {
		        "col_1": pa.string(),
		        "col_2": pa.intaa(),
		        "col_3": pa.floataa(),
		    }	)
		with open(a_      ,"wb"	) as f:
				lowerCAmelCase     :    str						=   pq.ParquetWriter(a_      ,schema=a_	)
				lowerCAmelCase     :    List[Any]						=   pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(a_	)	)] for k in DATA[0]}      ,schema=a_	)
				writer.write_table(a_	)
				writer.close()
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[str]	):
		lowerCAmelCase     :    int						=   str(tmp_path_factory.mktemp("data"	) / "dataset.json"	)
		lowerCAmelCase     :    Tuple						=   {"data": DATA}
		with open(a_      ,"w"	) as f:
				json.dump(a_      ,a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Union[str, Any]	):
		lowerCAmelCase     :    Union[str, Any]						=   str(tmp_path_factory.mktemp("data"	) / "dataset.json"	)
		lowerCAmelCase     :    Dict						=   {"data": DATA_DICT_OF_LISTS}
		with open(a_      ,"w"	) as f:
				json.dump(a_      ,a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Any	):
		lowerCAmelCase     :    List[str]						=   str(tmp_path_factory.mktemp("data"	) / "dataset.jsonl"	)
		with open(a_      ,"w"	) as f:
				for item in DATA:
						f.write(json.dumps(a_	) + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str	):
		lowerCAmelCase     :    Any						=   str(tmp_path_factory.mktemp("data"	) / "dataset2.jsonl"	)
		with open(a_      ,"w"	) as f:
				for item in DATA:
						f.write(json.dumps(a_	) + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Tuple	):
		lowerCAmelCase     :    Any						=   str(tmp_path_factory.mktemp("data"	) / "dataset_312.jsonl"	)
		with open(a_      ,"w"	) as f:
				for item in DATA_312:
						f.write(json.dumps(a_	) + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Tuple	):
		lowerCAmelCase     :    Optional[Any]						=   str(tmp_path_factory.mktemp("data"	) / "dataset-str.jsonl"	)
		with open(a_      ,"w"	) as f:
				for item in DATA_STR:
						f.write(json.dumps(a_	) + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Any      ,a_						:  Any	):
		import gzip

		lowerCAmelCase     :    Optional[Any]						=   str(tmp_path_factory.mktemp("data"	) / "dataset.txt.gz"	)
		with open(a_      ,"rb"	) as orig_file:
				with gzip.open(a_      ,"wb"	) as zipped_file:
						zipped_file.writelines(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Tuple      ,a_						:  List[Any]	):
		import gzip

		lowerCAmelCase     :    List[str]						=   str(tmp_path_factory.mktemp("data"	) / "dataset.jsonl.gz"	)
		with open(a_      ,"rb"	) as orig_file:
				with gzip.open(a_      ,"wb"	) as zipped_file:
						zipped_file.writelines(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Dict      ,a_						:  Any      ,a_						:  Optional[Any]	):
		lowerCAmelCase     :    Any						=   tmp_path_factory.mktemp("data"	) / "dataset.jsonl.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(a_	)	)
				f.write(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str      ,a_						:  int      ,a_						:  Dict      ,a_						:  str	):
		lowerCAmelCase     :    Optional[Any]						=   tmp_path_factory.mktemp("data"	) / "dataset_nested.jsonl.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.join("nested"      ,os.path.basename(a_	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  str      ,a_						:  Union[str, Any]      ,a_						:  Tuple	):
		lowerCAmelCase     :    str						=   tmp_path_factory.mktemp("data"	) / "dataset_with_dir.jsonl.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[str]      ,a_						:  str      ,a_						:  str	):
		lowerCAmelCase     :    Any						=   tmp_path_factory.mktemp("data"	) / "dataset.jsonl.tar"
		with tarfile.TarFile(a_      ,"w"	) as f:
				f.add(a_      ,arcname=os.path.basename(a_	)	)
				f.add(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Any      ,a_						:  Optional[int]      ,a_						:  Dict      ,a_						:  List[str]	):
		lowerCAmelCase     :    List[str]						=   tmp_path_factory.mktemp("data"	) / "dataset_nested.jsonl.tar"
		with tarfile.TarFile(a_      ,"w"	) as f:
				f.add(a_      ,arcname=os.path.join("nested"      ,os.path.basename(a_	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[str]	):
		lowerCAmelCase     :    str						=   ["0", "1", "2", "3"]
		lowerCAmelCase     :    str						=   str(tmp_path_factory.mktemp("data"	) / "dataset.txt"	)
		with open(a_      ,"w"	) as f:
				for item in data:
						f.write(item + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int	):
		lowerCAmelCase     :    Optional[int]						=   ["0", "1", "2", "3"]
		lowerCAmelCase     :    Dict						=   str(tmp_path_factory.mktemp("data"	) / "dataset2.txt"	)
		with open(a_      ,"w"	) as f:
				for item in data:
						f.write(item + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[Any]	):
		lowerCAmelCase     :    List[Any]						=   ["0", "1", "2", "3"]
		lowerCAmelCase     :    Any						=   tmp_path_factory.mktemp("data"	) / "dataset.abc"
		with open(a_      ,"w"	) as f:
				for item in data:
						f.write(item + "\n"	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int      ,a_						:  str      ,a_						:  Dict	):
		lowerCAmelCase     :    Tuple						=   tmp_path_factory.mktemp("data"	) / "dataset.text.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(a_	)	)
				f.write(a_      ,arcname=os.path.basename(a_	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Dict      ,a_						:  str      ,a_						:  Dict	):
		lowerCAmelCase     :    Dict						=   tmp_path_factory.mktemp("data"	) / "dataset_with_dir.text.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
				f.write(a_      ,arcname=os.path.join("main_dir"      ,os.path.basename(a_	)	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int      ,a_						:  Union[str, Any]      ,a_						:  int	):
		lowerCAmelCase     :    Dict						=   tmp_path_factory.mktemp("data"	) / "dataset.ext.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename("unsupported.ext"	)	)
				f.write(a_      ,arcname=os.path.basename("unsupported_2.ext"	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  int	):
		lowerCAmelCase     :    Optional[int]						=   "\n".join(["First", "Second\u2029with Unicode new line", "Third"]	)
		lowerCAmelCase     :    Tuple						=   str(tmp_path_factory.mktemp("data"	) / "dataset_with_unicode_new_lines.txt"	)
		with open(a_      ,"w"      ,encoding="utf-8"	) as f:
				f.write(a_	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							):
		return os.path.join("tests"      ,"features"      ,"data"      ,"test_image_rgb.jpg"	)






@pytest.fixture(scope="session"	)
def      __A						(							):
		return os.path.join("tests"      ,"features"      ,"data"      ,"test_audio_44100.wav"	)






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  List[str]      ,a_						:  Dict	):
		lowerCAmelCase     :    int						=   tmp_path_factory.mktemp("data"	) / "dataset.img.zip"
		with zipfile.ZipFile(a_      ,"w"	) as f:
				f.write(a_      ,arcname=os.path.basename(a_	)	)
				f.write(a_      ,arcname=os.path.basename(a_	).replace(".jpg"      ,"2.jpg"	)	)
		return path






@pytest.fixture(scope="session"	)
def      __A						(							a_						:  Any	):
		lowerCAmelCase     :    Optional[Any]						=   tmp_path_factory.mktemp("data_dir"	)

		(data_dir / "subdir").mkdir()
		with open(data_dir / "subdir" / "train.txt"      ,"w"	) as f:
				f.write("foo\n" * 1_0	)
		with open(data_dir / "subdir" / "test.txt"      ,"w"	) as f:
				f.write("bar\n" * 1_0	)
		# hidden file
		with open(data_dir / "subdir" / ".test.txt"      ,"w"	) as f:
				f.write("bar\n" * 1_0	)

		# hidden directory
		(data_dir / ".subdir").mkdir()
		with open(data_dir / ".subdir" / "train.txt"      ,"w"	) as f:
				f.write("foo\n" * 1_0	)
		with open(data_dir / ".subdir" / "test.txt"      ,"w"	) as f:
				f.write("bar\n" * 1_0	)

		return data_dir










'''simple docstring'''






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

import datasets


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


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


lowerCAmelCase       		=      R"""
Calculates accuracy after canonicalizing inputs.

Args:
    predictions: list of predictions to score. Each prediction
        is a string that contains natural language and LaTex.
    references: list of reference for each prediction. Each
        reference is a string that contains natural language
        and LaTex.
Returns:
    accuracy: accuracy after canonicalizing inputs
        (e.g., converting \"1/2\" to \"\\frac{1}{2}\")

Examples:
    >>> metric = datasets.load_metric(\"competition_math\")
    >>> results = metric.compute(references=[\"\\frac{1}{2}\"], predictions=[\"1/2\"])
    >>> print(results)
    {'accuracy': 1.0}
"""
@datasets.utils.file_utils.add_end_docstrings(_DESCRIPTION      ,   _KWARGS_DESCRIPTION       )
class 		lowerCamelCase  (      datasets.Metric       ):



	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		,      a_		,      a_	):
			lowerCAmelCase     :    Any						=   0.0
			for i, j in zip(a_		,      a_	):
					n_correct += 1.0 if math_equivalence.is_equiv(a_		,      a_	) else 0.0
			lowerCAmelCase     :    List[str]						=   n_correct / len(a_	)
			return {
			    "accuracy": accuracy,
			}



