
"""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 lowercase_						(     ):
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     10
							SCREAMING_SNAKE_CASE__		: Tuple     =     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"""		),
							    }		)
							SCREAMING_SNAKE_CASE__		: List[Any]     =     datasets.Dataset.from_dict(
							    {
							        """tokens""": [["""foo"""] * 5] * n,
							        """labels""": [[1] * 5] * n,
							        """answers""": [{"""answer_start""": [97], """text""": ["""1976"""]}] * 10,
							        """id""": list(range(_snake_case		)		),
							    }     ,features=_snake_case     ,)
							return dataset

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     str(tmp_path_factory.mktemp("""data"""		) / """file.arrow"""		)
							dataset.map(cache_file_name=_snake_case		)
							return filename


# FILE_CONTENT + files


UpperCAmelCase__   :					List[Any]												=				'\\n    Text data.\n    Second line of data.'

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     tmp_path_factory.mktemp("""data"""		) / """file.txt"""
							SCREAMING_SNAKE_CASE__		: str     =     FILE_CONTENT
							with open(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case		)
							return filename

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							import bza

							SCREAMING_SNAKE_CASE__		: Tuple     =     tmp_path_factory.mktemp("""data"""		) / """file.txt.bz2"""
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     bytes(_snake_case     ,"""utf-8"""		)
							with bza.open(_snake_case     ,"""wb"""		) as f:
														f.write(_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							import gzip

							SCREAMING_SNAKE_CASE__		: int     =     str(tmp_path_factory.mktemp("""data"""		) / """file.txt.gz"""		)
							SCREAMING_SNAKE_CASE__		: Tuple     =     bytes(_snake_case     ,"""utf-8"""		)
							with gzip.open(_snake_case     ,"""wb"""		) as f:
														f.write(_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							if datasets.config.LZ4_AVAILABLE:
														import lza.frame

														SCREAMING_SNAKE_CASE__		: Optional[Any]     =     tmp_path_factory.mktemp("""data"""		) / """file.txt.lz4"""
														SCREAMING_SNAKE_CASE__		: str     =     bytes(_snake_case     ,"""utf-8"""		)
														with lza.frame.open(_snake_case     ,"""wb"""		) as f:
																					f.write(_snake_case		)
														return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							if datasets.config.PY7ZR_AVAILABLE:
														import pyazr

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							import tarfile

							SCREAMING_SNAKE_CASE__		: Dict     =     tmp_path_factory.mktemp("""data"""		) / """file.txt.tar"""
							with tarfile.TarFile(_snake_case     ,"""w"""		) as f:
														f.add(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							import lzma

							SCREAMING_SNAKE_CASE__		: str     =     tmp_path_factory.mktemp("""data"""		) / """file.txt.xz"""
							SCREAMING_SNAKE_CASE__		: str     =     bytes(_snake_case     ,"""utf-8"""		)
							with lzma.open(_snake_case     ,"""wb"""		) as f:
														f.write(_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							import zipfile

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

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

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

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


UpperCAmelCase__   :					int												=				[
    {'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},
]
UpperCAmelCase__   :					List[Any]												=				[
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
UpperCAmelCase__   :					Optional[int]												=				{
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

UpperCAmelCase__   :					Optional[int]												=				[
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

UpperCAmelCase__   :					Tuple												=				[
    {'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 lowercase_						(     ):
							return DATA_DICT_OF_LISTS

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: int     =     datasets.Dataset.from_dict(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Any     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.arrow"""		)
							dataset.map(cache_file_name=_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.sqlite"""		)
							with contextlib.closing(sqlitea.connect(_snake_case		)		) as con:
														SCREAMING_SNAKE_CASE__		: Optional[int]     =     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 lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.csv"""		)
							with open(_snake_case     ,"""w"""     ,newline=""""""		) as f:
														SCREAMING_SNAKE_CASE__		: Dict     =     csv.DictWriter(_snake_case     ,fieldnames=["""col_1""", """col_2""", """col_3"""]		)
														writer.writeheader()
														for item in DATA:
																					writer.writerow(_snake_case		)
							return path

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							import bza

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Any     =     tmp_path_factory.mktemp("""data"""		) / """dataset.csv.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: int     =     tmp_path_factory.mktemp("""data"""		) / """dataset.csv.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename(csv_path.replace(""".csv"""     ,""".CSV"""		)		)		)
														f.write(_snake_case     ,arcname=os.path.basename(csva_path.replace(""".csv"""     ,""".CSV"""		)		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Any     =     tmp_path_factory.mktemp("""data"""		) / """dataset_with_dir.csv.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
							return path

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.json"""		)
							SCREAMING_SNAKE_CASE__		: Tuple     =     {"""data""": DATA}
							with open(_snake_case     ,"""w"""		) as f:
														json.dump(_snake_case     ,_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Dict     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.json"""		)
							SCREAMING_SNAKE_CASE__		: Dict     =     {"""data""": DATA_DICT_OF_LISTS}
							with open(_snake_case     ,"""w"""		) as f:
														json.dump(_snake_case     ,_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: int     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.jsonl"""		)
							with open(_snake_case     ,"""w"""		) as f:
														for item in DATA:
																					f.write(json.dumps(_snake_case		) + """\n"""		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset2.jsonl"""		)
							with open(_snake_case     ,"""w"""		) as f:
														for item in DATA:
																					f.write(json.dumps(_snake_case		) + """\n"""		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset_312.jsonl"""		)
							with open(_snake_case     ,"""w"""		) as f:
														for item in DATA_312:
																					f.write(json.dumps(_snake_case		) + """\n"""		)
							return path

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							import gzip

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							import gzip

							SCREAMING_SNAKE_CASE__		: Tuple     =     str(tmp_path_factory.mktemp("""data"""		) / """dataset.jsonl.gz"""		)
							with open(_snake_case     ,"""rb"""		) as orig_file:
														with gzip.open(_snake_case     ,"""wb"""		) as zipped_file:
																					zipped_file.writelines(_snake_case		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     tmp_path_factory.mktemp("""data"""		) / """dataset.jsonl.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Any     =     tmp_path_factory.mktemp("""data"""		) / """dataset_nested.jsonl.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.join("""nested"""     ,os.path.basename(_snake_case		)		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Any     =     tmp_path_factory.mktemp("""data"""		) / """dataset_with_dir.jsonl.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
							return path

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     tmp_path_factory.mktemp("""data"""		) / """dataset_nested.jsonl.tar"""
							with tarfile.TarFile(_snake_case     ,"""w"""		) as f:
														f.add(_snake_case     ,arcname=os.path.join("""nested"""     ,os.path.basename(_snake_case		)		)		)
							return path

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

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

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     tmp_path_factory.mktemp("""data"""		) / """dataset.text.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     tmp_path_factory.mktemp("""data"""		) / """dataset_with_dir.text.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
														f.write(_snake_case     ,arcname=os.path.join("""main_dir"""     ,os.path.basename(_snake_case		)		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     tmp_path_factory.mktemp("""data"""		) / """dataset.ext.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename("""unsupported.ext"""		)		)
														f.write(_snake_case     ,arcname=os.path.basename("""unsupported_2.ext"""		)		)
							return path

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

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

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

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     tmp_path_factory.mktemp("""data"""		) / """dataset.img.zip"""
							with zipfile.ZipFile(_snake_case     ,"""w"""		) as f:
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		)		)
														f.write(_snake_case     ,arcname=os.path.basename(_snake_case		).replace(""".jpg"""     ,"""2.jpg"""		)		)
							return path

@pytest.fixture(scope="""session"""		)
def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: 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""" * 10		)
							with open(data_dir / """subdir""" / """test.txt"""     ,"""w"""		) as f:
														f.write("""bar\n""" * 10		)
							# hidden file
							with open(data_dir / """subdir""" / """.test.txt"""     ,"""w"""		) as f:
														f.write("""bar\n""" * 10		)

							# hidden directory
							(data_dir / ".subdir").mkdir()
							with open(data_dir / """.subdir""" / """train.txt"""     ,"""w"""		) as f:
														f.write("""foo\n""" * 10		)
							with open(data_dir / """.subdir""" / """test.txt"""     ,"""w"""		) as f:
														f.write("""bar\n""" * 10		)

							return data_dir






"""simple docstring"""




import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast



@dataclass
class 			lowerCAmelCase_		(datasets.BuilderConfig						):


				"""simple docstring"""



				__UpperCamelCase   :		Optional[datasets.Features]       =     None






class 			lowerCAmelCase_		(datasets.ArrowBasedBuilder						):


				"""simple docstring"""



				__UpperCamelCase   :		Union[str, Any]       =     PandasConfig



				def 			__magic_name__					(self					)      ->	List[str]:



											"""simple docstring"""




											return datasets.DatasetInfo(features=self.config.features					)



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	Optional[int]:



											"""simple docstring"""




											if not self.config.data_files:
																		raise ValueError(F'''At least one data file must be specified, but got data_files={self.config.data_files}'''					)
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     dl_manager.download_and_extract(self.config.data_files					)
											if isinstance(SCREAMING_SNAKE_CASE__     , (str, list, tuple)					):
																		SCREAMING_SNAKE_CASE__		: Tuple     =     data_files
																		if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
																									SCREAMING_SNAKE_CASE__		: Optional[Any]     =     [files]
																		# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
																		SCREAMING_SNAKE_CASE__		: str     =     [dl_manager.iter_files(SCREAMING_SNAKE_CASE__					) for file in files]
																		return [datasets.SplitGenerator(name=datasets.Split.TRAIN     , gen_kwargs={"""files""": files}					)]
											SCREAMING_SNAKE_CASE__		: int     =     []
											for split_name, files in data_files.items():
																		if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
																									SCREAMING_SNAKE_CASE__		: List[str]     =     [files]
																		# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
																		SCREAMING_SNAKE_CASE__		: Dict     =     [dl_manager.iter_files(SCREAMING_SNAKE_CASE__					) for file in files]
																		splits.append(datasets.SplitGenerator(name=SCREAMING_SNAKE_CASE__     , gen_kwargs={"""files""": files}					)					)
											return splits



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	pa.Table:



											"""simple docstring"""




											if self.config.features is not None:
																		# more expensive cast to support nested features with keys in a different order
																		# allows str <-> int/float or str to Audio for example
																		SCREAMING_SNAKE_CASE__		: Tuple     =     table_cast(SCREAMING_SNAKE_CASE__     , self.config.features.arrow_schema					)
											return pa_table



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	Optional[Any]:



											"""simple docstring"""




											for i, file in enumerate(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE__					)					):
																		with open(SCREAMING_SNAKE_CASE__     , """rb"""					) as f:
																									SCREAMING_SNAKE_CASE__		: List[str]     =     pa.Table.from_pandas(pd.read_pickle(SCREAMING_SNAKE_CASE__					)					)
																									yield i, self._cast_table(SCREAMING_SNAKE_CASE__					)




