






"""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   lowerCAmelCase_( )					->	int:
    """simple docstring"""

    UpperCamelCase__         =    10
    UpperCamelCase__         =    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'					),
        }					)
    UpperCamelCase__         =    datasets.Dataset.from_dict(
        {
            'tokens': [['foo'] * 5] * n,
            'labels': [[1] * 5] * n,
            'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
            'id': list(range(SCREAMING_SNAKE_CASE					)					),
        } ,	features=SCREAMING_SNAKE_CASE ,	)
    return dataset







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'file.arrow'					)
    dataset.map(cache_file_name=SCREAMING_SNAKE_CASE					)
    return filename


# FILE_CONTENT + files


A__					: Tuple=	"""\
    Text data.
    Second line of data."""







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[Any]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt'
    UpperCamelCase__         =    FILE_CONTENT
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return filename







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[Any]:
    """simple docstring"""

    import bza

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.bz2'
    UpperCamelCase__         =    bytes(SCREAMING_SNAKE_CASE ,	'utf-8'					)
    with bza.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    import gzip

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'file.txt.gz'					)
    UpperCamelCase__         =    bytes(SCREAMING_SNAKE_CASE ,	'utf-8'					)
    with gzip.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Union[str, Any]:
    """simple docstring"""

    if datasets.config.LZ4_AVAILABLE:
        import lza.frame

        UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.lz4'
        UpperCamelCase__         =    bytes(SCREAMING_SNAKE_CASE ,	'utf-8'					)
        with lza.frame.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
            f.write(SCREAMING_SNAKE_CASE					)
        return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    if datasets.config.PY7ZR_AVAILABLE:
        import pyazr

        UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.7z'
        with pyazr.SevenZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as archive:
            archive.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    import tarfile

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.tar'
    with tarfile.TarFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.add(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	str:
    """simple docstring"""

    import lzma

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.xz'
    UpperCamelCase__         =    bytes(SCREAMING_SNAKE_CASE ,	'utf-8'					)
    with lzma.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    import zipfile

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[Any]:
    """simple docstring"""

    if datasets.config.ZSTANDARD_AVAILABLE:
        import zstandard as zstd

        UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.txt.zst'
        UpperCamelCase__         =    bytes(SCREAMING_SNAKE_CASE ,	'utf-8'					)
        with zstd.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
            f.write(SCREAMING_SNAKE_CASE					)
        return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'file.xml'
    UpperCamelCase__         =    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(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return filename


A__					: Tuple=	[
    {"""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__					: Optional[Any]=	[
    {"""col_1""": """4""", """col_2""": 4, """col_3""": 4.0},
    {"""col_1""": """5""", """col_2""": 5, """col_3""": 5.0},
]
A__					: Any=	{
    """col_1""": ["""0""", """1""", """2""", """3"""],
    """col_2""": [0, 1, 2, 3],
    """col_3""": [0.0, 1.0, 2.0, 3.0],
}

A__					: List[Any]=	[
    {"""col_3""": 0.0, """col_1""": """0""", """col_2""": 0},
    {"""col_3""": 1.0, """col_1""": """1""", """col_2""": 1},
]

A__					: List[str]=	[
    {"""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   lowerCAmelCase_( )					->	int:
    """simple docstring"""

    return DATA_DICT_OF_LISTS







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    datasets.Dataset.from_dict(SCREAMING_SNAKE_CASE					)
    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.arrow'					)
    dataset.map(cache_file_name=SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.sqlite'					)
    with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE					)					) as con:
        UpperCamelCase__         =    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   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.csv'					)
    with open(SCREAMING_SNAKE_CASE ,	'w' ,	newline=''					) as f:
        UpperCamelCase__         =    csv.DictWriter(SCREAMING_SNAKE_CASE ,	fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset2.csv'					)
    with open(SCREAMING_SNAKE_CASE ,	'w' ,	newline=''					) as f:
        UpperCamelCase__         =    csv.DictWriter(SCREAMING_SNAKE_CASE ,	fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    import bza

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.csv.bz2'
    with open(SCREAMING_SNAKE_CASE ,	'rb'					) as f:
        UpperCamelCase__         =    f.read()
    # data = bytes(FILE_CONTENT, "utf-8")
    with bza.open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	str:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(csv_path.replace('.csv' ,	'.CSV'					)					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(csva_path.replace('.csv' ,	'.CSV'					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Union[str, Any]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.csv.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.parquet'					)
    UpperCamelCase__         =    pa.schema(
        {
            'col_1': pa.string(),
            'col_2': pa.intaa(),
            'col_3': pa.floataa(),
        }					)
    with open(SCREAMING_SNAKE_CASE ,	'wb'					) as f:
        UpperCamelCase__         =    pq.ParquetWriter(SCREAMING_SNAKE_CASE ,	schema=SCREAMING_SNAKE_CASE					)
        UpperCamelCase__         =    pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(SCREAMING_SNAKE_CASE					)					)] for k in DATA[0]} ,	schema=SCREAMING_SNAKE_CASE					)
        writer.write_table(SCREAMING_SNAKE_CASE					)
        writer.close()
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    UpperCamelCase__         =    {'data': DATA}
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        json.dump(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    UpperCamelCase__         =    {'data': DATA_DICT_OF_LISTS}
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        json.dump(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in DATA:
            f.write(json.dumps(SCREAMING_SNAKE_CASE					) + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[Any]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset2.jsonl'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in DATA:
            f.write(json.dumps(SCREAMING_SNAKE_CASE					) + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset_312.jsonl'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in DATA_312:
            f.write(json.dumps(SCREAMING_SNAKE_CASE					) + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset-str.jsonl'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in DATA_STR:
            f.write(json.dumps(SCREAMING_SNAKE_CASE					) + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    import gzip

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.txt.gz'					)
    with open(SCREAMING_SNAKE_CASE ,	'rb'					) as orig_file:
        with gzip.open(SCREAMING_SNAKE_CASE ,	'wb'					) as zipped_file:
            zipped_file.writelines(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    import gzip

    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.gz'					)
    with open(SCREAMING_SNAKE_CASE ,	'rb'					) as orig_file:
        with gzip.open(SCREAMING_SNAKE_CASE ,	'wb'					) as zipped_file:
            zipped_file.writelines(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Union[str, Any]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('nested' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.jsonl.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.tar'
    with tarfile.TarFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.add(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        f.add(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.tar'
    with tarfile.TarFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.add(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('nested' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    UpperCamelCase__         =    ['0', '1', '2', '3']
    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset.txt'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    ['0', '1', '2', '3']
    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset2.txt'					)
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

    UpperCamelCase__         =    ['0', '1', '2', '3']
    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.abc'
    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.text.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.text.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.join('main_dir' ,	os.path.basename(SCREAMING_SNAKE_CASE					)					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.ext.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename('unsupported.ext'					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename('unsupported_2.ext'					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[Any]:
    """simple docstring"""

    UpperCamelCase__         =    '\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']					)
    UpperCamelCase__         =    str(tmp_path_factory.mktemp('data'					) / 'dataset_with_unicode_new_lines.txt'					)
    with open(SCREAMING_SNAKE_CASE ,	'w' ,	encoding='utf-8'					) as f:
        f.write(SCREAMING_SNAKE_CASE					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( )					->	Tuple:
    """simple docstring"""

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







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( )					->	Any:
    """simple docstring"""

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







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    UpperCamelCase__         =    tmp_path_factory.mktemp('data'					) / 'dataset.img.zip'
    with zipfile.ZipFile(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					)					)
        f.write(SCREAMING_SNAKE_CASE ,	arcname=os.path.basename(SCREAMING_SNAKE_CASE					).replace('.jpg' ,	'2.jpg'					)					)
    return path







@pytest.fixture(scope='session'					)
def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[Any]:
    """simple docstring"""

    UpperCamelCase__         =    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 PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("""9.1.0"""):
  A__					: str=	{
      """linear""": PIL.Image.Resampling.BILINEAR,
      """bilinear""": PIL.Image.Resampling.BILINEAR,
      """bicubic""": PIL.Image.Resampling.BICUBIC,
      """lanczos""": PIL.Image.Resampling.LANCZOS,
      """nearest""": PIL.Image.Resampling.NEAREST,
  }
else:
  A__					: str=	{
      """linear""": PIL.Image.LINEAR,
      """bilinear""": PIL.Image.BILINEAR,
      """bicubic""": PIL.Image.BICUBIC,
      """lanczos""": PIL.Image.LANCZOS,
      """nearest""": PIL.Image.NEAREST,
  }







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    UpperCamelCase__         =    (images / 2 + 0.5).clamp(0 ,	1					)
    UpperCamelCase__         =    images.cpu().permute(0 ,	2 ,	3 ,	1					).float().numpy()
    UpperCamelCase__         =    numpy_to_pil(SCREAMING_SNAKE_CASE					)
    return images







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    if images.ndim == 3:
        UpperCamelCase__         =    images[None, ...]
    UpperCamelCase__         =    (images * 2_55).round().astype('uint8'					)
    if images.shape[-1] == 1:
        # special case for grayscale (single channel) images
        UpperCamelCase__         =    [Image.fromarray(image.squeeze() ,	mode='L'					) for image in images]
    else:
        UpperCamelCase__         =    [Image.fromarray(SCREAMING_SNAKE_CASE					) for image in images]

    return pil_images




