





"""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	(  )  ->Any:



    '''simple docstring'''







    __A       :		Any							=	10
    __A       :		int							=	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'''		),
        }		)
    __A       :		Union[str, 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_    :    Tuple							,snake_case_    :    Dict		)  ->str:



    '''simple docstring'''







    __A       :		List[Any]							=	str(tmp_path_factory.mktemp('''data'''		) / '''file.arrow'''		)
    dataset.map(cache_file_name=snake_case_		)
    return filename


# FILE_CONTENT + files


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







@pytest.fixture(scope='''session'''		)
def 						__lowercase	(  snake_case_    :    Optional[int]		)  ->List[Any]:



    '''simple docstring'''







    __A       :		Union[str, Any]							=	tmp_path_factory.mktemp('''data'''		) / '''file.txt'''
    __A       :		Tuple							=	FILE_CONTENT
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return filename







@pytest.fixture(scope='''session'''		)
def 						__lowercase	(  snake_case_    :    str		)  ->int:



    '''simple docstring'''







    import bza

    __A       :		List[Any]							=	tmp_path_factory.mktemp('''data'''		) / '''file.txt.bz2'''
    __A       :		Optional[Any]							=	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_    :    Dict		)  ->List[Any]:



    '''simple docstring'''







    import gzip

    __A       :		Optional[int]							=	str(tmp_path_factory.mktemp('''data'''		) / '''file.txt.gz'''		)
    __A       :		List[str]							=	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_    :    List[Any]		)  ->str:



    '''simple docstring'''







    if datasets.config.LZ4_AVAILABLE:
        import lza.frame

        __A       :		Union[str, Any]							=	tmp_path_factory.mktemp('''data'''		) / '''file.txt.lz4'''
        __A       :		Optional[int]							=	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_    :    Any							,snake_case_    :    Any		)  ->Optional[int]:



    '''simple docstring'''







    if datasets.config.PY7ZR_AVAILABLE:
        import pyazr

        __A       :		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_    :    List[str]							,snake_case_    :    str		)  ->Optional[Any]:



    '''simple docstring'''







    import tarfile

    __A       :		Optional[Any]							=	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_    :    List[str]		)  ->Dict:



    '''simple docstring'''







    import lzma

    __A       :		Union[str, Any]							=	tmp_path_factory.mktemp('''data'''		) / '''file.txt.xz'''
    __A       :		List[Any]							=	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_    :    int							,snake_case_    :    List[Any]		)  ->List[str]:



    '''simple docstring'''







    import zipfile

    __A       :		Dict							=	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_    :    str		)  ->Union[str, Any]:



    '''simple docstring'''







    if datasets.config.ZSTANDARD_AVAILABLE:
        import zstandard as zstd

        __A       :		Dict							=	tmp_path_factory.mktemp('''data'''		) / '''file.txt.zst'''
        __A       :		str							=	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_    :    List[str]		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		Any							=	tmp_path_factory.mktemp('''data'''		) / '''file.xml'''
    __A       :		List[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


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

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

a_					=     [
    {"""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	(  )  ->Any:



    '''simple docstring'''







    return DATA_DICT_OF_LISTS







@pytest.fixture(scope='''session'''		)
def 						__lowercase	(  snake_case_    :    int		)  ->str:



    '''simple docstring'''







    __A       :		Optional[int]							=	datasets.Dataset.from_dict(snake_case_		)
    __A       :		int							=	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_    :    List[str]		)  ->int:



    '''simple docstring'''







    __A       :		Union[str, Any]							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset.sqlite'''		)
    with contextlib.closing(sqlitea.connect(snake_case_		)		) as con:
        __A       :		List[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 						__lowercase	(  snake_case_    :    Optional[int]		)  ->Union[str, Any]:



    '''simple docstring'''







    __A       :		Optional[int]							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset.csv'''		)
    with open(snake_case_							,'''w'''							,newline=''''''		) as f:
        __A       :		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_    :    List[str]		)  ->Any:



    '''simple docstring'''







    __A       :		Optional[int]							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset2.csv'''		)
    with open(snake_case_							,'''w'''							,newline=''''''		) as f:
        __A       :		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_    :    Optional[int]							,snake_case_    :    Optional[int]		)  ->str:



    '''simple docstring'''







    import bza

    __A       :		Any							=	tmp_path_factory.mktemp('''data'''		) / '''dataset.csv.bz2'''
    with open(snake_case_							,'''rb'''		) as f:
        __A       :		str							=	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_    :    List[str]							,snake_case_    :    Dict							,snake_case_    :    Tuple		)  ->Optional[int]:



    '''simple docstring'''







    __A       :		Optional[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_    :    str							,snake_case_    :    Tuple							,snake_case_    :    List[str]		)  ->Any:



    '''simple docstring'''







    __A       :		Dict							=	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_    :    Dict							,snake_case_    :    List[str]							,snake_case_    :    List[str]		)  ->List[Any]:



    '''simple docstring'''







    __A       :		Tuple							=	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_    :    Optional[Any]		)  ->List[Any]:



    '''simple docstring'''







    __A       :		Optional[int]							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset.parquet'''		)
    __A       :		Any							=	pa.schema(
        {
            '''col_1''': pa.string(),
            '''col_2''': pa.intaa(),
            '''col_3''': pa.floataa(),
        }		)
    with open(snake_case_							,'''wb'''		) as f:
        __A       :		Union[str, Any]							=	pq.ParquetWriter(snake_case_							,schema=snake_case_		)
        __A       :		str							=	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_    :    Optional[int]		)  ->Tuple:



    '''simple docstring'''







    __A       :		str							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset.json'''		)
    __A       :		Union[str, Any]							=	{'''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_    :    Union[str, Any]		)  ->int:



    '''simple docstring'''







    __A       :		Tuple							=	str(tmp_path_factory.mktemp('''data'''		) / '''dataset.json'''		)
    __A       :		Optional[int]							=	{'''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_    :    str		)  ->Tuple:



    '''simple docstring'''







    __A       :		List[Any]							=	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_    :    Optional[int]		)  ->str:



    '''simple docstring'''







    __A       :		Union[str, Any]							=	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_    :    Tuple		)  ->Tuple:



    '''simple docstring'''







    __A       :		List[str]							=	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_    :    Dict		)  ->int:



    '''simple docstring'''







    __A       :		int							=	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_    :    int							,snake_case_    :    Union[str, Any]		)  ->str:



    '''simple docstring'''







    import gzip

    __A       :		Optional[int]							=	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_    :    int							,snake_case_    :    str		)  ->Dict:



    '''simple docstring'''







    import gzip

    __A       :		List[Any]							=	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_    :    Optional[int]							,snake_case_    :    Dict							,snake_case_    :    Union[str, Any]		)  ->int:



    '''simple docstring'''







    __A       :		Optional[Any]							=	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_    :    Optional[int]							,snake_case_    :    Optional[Any]							,snake_case_    :    int							,snake_case_    :    List[str]		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		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_    :    Tuple							,snake_case_    :    Tuple							,snake_case_    :    Optional[int]		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		int							=	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_    :    List[Any]							,snake_case_    :    List[str]							,snake_case_    :    Optional[Any]		)  ->str:



    '''simple docstring'''







    __A       :		Dict							=	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_    :    List[str]							,snake_case_    :    Optional[int]							,snake_case_    :    Optional[int]							,snake_case_    :    List[Any]		)  ->str:



    '''simple docstring'''







    __A       :		List[Any]							=	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_    :    Tuple		)  ->List[str]:



    '''simple docstring'''







    __A       :		str							=	['''0''', '''1''', '''2''', '''3''']
    __A       :		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_    :    List[str]		)  ->Any:



    '''simple docstring'''







    __A       :		Any							=	['''0''', '''1''', '''2''', '''3''']
    __A       :		List[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_    :    int		)  ->Optional[int]:



    '''simple docstring'''







    __A       :		int							=	['''0''', '''1''', '''2''', '''3''']
    __A       :		str							=	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_    :    Tuple							,snake_case_    :    Tuple							,snake_case_    :    Dict		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		List[Any]							=	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_    :    Tuple							,snake_case_    :    Optional[Any]							,snake_case_    :    str		)  ->str:



    '''simple docstring'''







    __A       :		Any							=	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_    :    Union[str, Any]							,snake_case_    :    Union[str, Any]							,snake_case_    :    Tuple		)  ->Tuple:



    '''simple docstring'''







    __A       :		Tuple							=	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_    :    Dict		)  ->Optional[int]:



    '''simple docstring'''







    __A       :		Tuple							=	'''\n'''.join(['''First''', '''Second\u2029with Unicode new line''', '''Third''']		)
    __A       :		List[str]							=	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	(  )  ->Tuple:



    '''simple docstring'''







    return os.path.join('''tests'''							,'''features'''							,'''data'''							,'''test_image_rgb.jpg'''		)







@pytest.fixture(scope='''session'''		)
def 						__lowercase	(  )  ->Optional[int]:



    '''simple docstring'''







    return os.path.join('''tests'''							,'''features'''							,'''data'''							,'''test_audio_44100.wav'''		)







@pytest.fixture(scope='''session'''		)
def 						__lowercase	(  snake_case_    :    Optional[Any]							,snake_case_    :    List[str]		)  ->List[str]:



    '''simple docstring'''







    __A       :		Optional[Any]							=	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_    :    Tuple		)  ->Any:



    '''simple docstring'''







    __A       :		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 os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil







@pytest.fixture
def 						__lowercase	(  snake_case_    :    Optional[int]		)  ->str:



    '''simple docstring'''







    __A       :		Tuple							=	tmp_path / '''file.csv'''
    __A       :		Union[str, Any]							=	textwrap.dedent(
        '''\
        header1,header2
        1,2
        10,20
        '''		)
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return str(snake_case_		)







@pytest.fixture
def 						__lowercase	(  snake_case_    :    str		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		List[str]							=	tmp_path / '''malformed_file.csv'''
    __A       :		Optional[Any]							=	textwrap.dedent(
        '''\
        header1,header2
        1,2
        10,20,
        '''		)
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return str(snake_case_		)







@pytest.fixture
def 						__lowercase	(  snake_case_    :    Any							,snake_case_    :    Optional[int]		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		List[str]							=	tmp_path / '''csv_with_image.csv'''
    __A       :		List[str]							=	textwrap.dedent(
        F"""\
        image
        {image_file}
        """		)
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return str(snake_case_		)







@pytest.fixture
def 						__lowercase	(  snake_case_    :    Optional[int]		)  ->Tuple:



    '''simple docstring'''







    __A       :		Dict							=	tmp_path / '''csv_with_label.csv'''
    __A       :		int							=	textwrap.dedent(
        '''\
        label
        good
        bad
        good
        '''		)
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return str(snake_case_		)







@pytest.fixture
def 						__lowercase	(  snake_case_    :    Dict		)  ->Optional[Any]:



    '''simple docstring'''







    __A       :		Optional[int]							=	tmp_path / '''csv_with_int_list.csv'''
    __A       :		Union[str, Any]							=	textwrap.dedent(
        '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        '''		)
    with open(snake_case_							,'''w'''		) as f:
        f.write(snake_case_		)
    return str(snake_case_		)







def 						__lowercase	(  snake_case_    :    List[str]							,snake_case_    :    Optional[int]							,snake_case_    :    Optional[Any]		)  ->Dict:



    '''simple docstring'''







    __A       :		str							=	Csv()
    __A       :		List[Any]							=	csv._generate_tables([[csv_file, malformed_csv_file]]		)
    with pytest.raises(snake_case_							,match='''Error tokenizing data'''		):
        for _ in generator:
            pass
    assert any(
        record.levelname == '''ERROR'''
        and '''Failed to read file''' in record.message
        and os.path.basename(snake_case_		) in record.message
        for record in caplog.records		)







@require_pil
def 						__lowercase	(  snake_case_    :    Optional[int]		)  ->Union[str, Any]:



    '''simple docstring'''







    with open(snake_case_							,encoding='''utf-8'''		) as f:
        __A       :		int							=	f.read().splitlines()[1]
    __A       :		Optional[Any]							=	Csv(encoding='''utf-8'''							,features=Features({'''image''': Image()}		)		)
    __A       :		Union[str, Any]							=	csv._generate_tables([[csv_file_with_image]]		)
    __A       :		Optional[Any]							=	pa.concat_tables([table for _, table in generator]		)
    assert pa_table.schema.field('''image'''		).type == Image()()
    __A       :		Optional[int]							=	pa_table.to_pydict()['''image''']
    assert generated_content == [{"path": image_file, "bytes": None}]







def 						__lowercase	(  snake_case_    :    Any		)  ->List[Any]:



    '''simple docstring'''







    with open(snake_case_							,encoding='''utf-8'''		) as f:
        __A       :		Optional[int]							=	f.read().splitlines()[1:]
    __A       :		List[Any]							=	Csv(encoding='''utf-8'''							,features=Features({'''label''': ClassLabel(names=['''good''', '''bad''']		)}		)		)
    __A       :		str							=	csv._generate_tables([[csv_file_with_label]]		)
    __A       :		Any							=	pa.concat_tables([table for _, table in generator]		)
    assert pa_table.schema.field('''label'''		).type == ClassLabel(names=['''good''', '''bad''']		)()
    __A       :		Optional[Any]							=	pa_table.to_pydict()['''label''']
    assert generated_content == [ClassLabel(names=['''good''', '''bad''']		).straint(snake_case_		) for label in labels]







def 						__lowercase	(  snake_case_    :    str		)  ->Dict:



    '''simple docstring'''







    __A       :		Optional[int]							=	Csv(encoding='''utf-8'''							,sep=''','''							,converters={'''int_list''': lambda snake_case_		: [int(snake_case_		) for i in x.split()]}		)
    __A       :		Dict							=	csv._generate_tables([[csv_file_with_int_list]]		)
    __A       :		Dict							=	pa.concat_tables([table for _, table in generator]		)
    assert pa.types.is_list(pa_table.schema.field('''int_list'''		).type		)
    __A       :		int							=	pa_table.to_pydict()['''int_list''']
    assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]




