





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(       )							-> Optional[Any]:




    """simple docstring"""




    _A     =							10
    _A     =							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     =							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				)							-> List[str]:




    """simple docstring"""




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


# FILE_CONTENT + files


__A							:			Union[str, Any]         =			"\\n    Text data.\n    Second line of data."





@pytest.fixture(scope='session'				)
def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							tmp_path_factory.mktemp('data'				) / 'file.txt'
    _A     =							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				)							-> int:




    """simple docstring"""




    import bza

    _A     =							tmp_path_factory.mktemp('data'				) / 'file.txt.bz2'
    _A     =							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				)							-> Any:




    """simple docstring"""




    import gzip

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




    """simple docstring"""




    if datasets.config.LZ4_AVAILABLE:
        import lza.frame

        _A     =							tmp_path_factory.mktemp('data'				) / 'file.txt.lz4'
        _A     =							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

        _A     =							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				)							-> Any:




    """simple docstring"""




    import tarfile

    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    import lzma

    _A     =							tmp_path_factory.mktemp('data'				) / 'file.txt.xz'
    _A     =							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				)							-> Union[str, Any]:




    """simple docstring"""




    import zipfile

    _A     =							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

        _A     =							tmp_path_factory.mktemp('data'				) / 'file.txt.zst'
        _A     =							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				)							-> List[str]:




    """simple docstring"""




    _A     =							tmp_path_factory.mktemp('data'				) / 'file.xml'
    _A     =							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							:			Optional[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},
]
__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							:			Optional[Any]         =			[
    {"col_3": 0.0, "col_1": "0", "col_2": 0},
    {"col_3": 1.0, "col_1": "1", "col_2": 1},
]

__A							:			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(       )							-> List[str]:




    """simple docstring"""




    return DATA_DICT_OF_LISTS





@pytest.fixture(scope='session'				)
def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							datasets.Dataset.from_dict(_SCREAMING_SNAKE_CASE				)
    _A     =							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				)							-> List[str]:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset.sqlite'				)
    with contextlib.closing(sqlitea.connect(_SCREAMING_SNAKE_CASE				)				) as con:
        _A     =							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				)							-> Optional[int]:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset.csv'				)
    with open(_SCREAMING_SNAKE_CASE							,     'w'							,     newline=''				) as f:
        _A     =							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				)							-> Dict:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset2.csv'				)
    with open(_SCREAMING_SNAKE_CASE							,     'w'							,     newline=''				) as f:
        _A     =							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

    _A     =							tmp_path_factory.mktemp('data'				) / 'dataset.csv.bz2'
    with open(_SCREAMING_SNAKE_CASE							,     'rb'				) as f:
        _A     =							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				)							-> int:




    """simple docstring"""




    _A     =							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				)							-> int:




    """simple docstring"""




    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    _A     =							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				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset.parquet'				)
    _A     =							pa.schema(
        {
            'col_1': pa.string(),
            'col_2': pa.intaa(),
            'col_3': pa.floataa(),
        }				)
    with open(_SCREAMING_SNAKE_CASE							,     'wb'				) as f:
        _A     =							pq.ParquetWriter(_SCREAMING_SNAKE_CASE							,     schema=_SCREAMING_SNAKE_CASE				)
        _A     =							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				)							-> str:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset.json'				)
    _A     =							{'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				)							-> Dict:




    """simple docstring"""




    _A     =							str(tmp_path_factory.mktemp('data'				) / 'dataset.json'				)
    _A     =							{'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				)							-> Any:




    """simple docstring"""




    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    _A     =							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				)							-> Tuple:




    """simple docstring"""




    _A     =							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				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							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				)							-> Union[str, Any]:




    """simple docstring"""




    import gzip

    _A     =							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				)							-> List[str]:




    """simple docstring"""




    import gzip

    _A     =							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				)							-> Any:




    """simple docstring"""




    _A     =							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[Any]:




    """simple docstring"""




    _A     =							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[Any]:




    """simple docstring"""




    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    _A     =							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				)							-> int:




    """simple docstring"""




    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    _A     =							['0', '1', '2', '3']
    _A     =							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				)							-> str:




    """simple docstring"""




    _A     =							['0', '1', '2', '3']
    _A     =							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				)							-> Any:




    """simple docstring"""




    _A     =							['0', '1', '2', '3']
    _A     =							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"""




    _A     =							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				)							-> Union[str, Any]:




    """simple docstring"""




    _A     =							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				)							-> List[Any]:




    """simple docstring"""




    _A     =							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"""




    _A     =							'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']				)
    _A     =							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(       )							-> Dict:




    """simple docstring"""




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





@pytest.fixture(scope='session'				)
def 				__lowerCAmelCase(       )							-> Union[str, 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				)							-> Optional[int]:




    """simple docstring"""




    _A     =							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				)							-> Optional[int]:




    """simple docstring"""




    _A     =							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'''

__lowerCAmelCase				:      List[str]						      ="Alexander Joslin"

import operator as op

from .stack import Stack





def 		UpperCamelCase							(				_lowerCamelCase   :   str			):
    A__							=     {"*": op.mul, "/": op.truediv, "+": op.add, "-": op.sub}

    A__							=     Stack()
    A__							=     Stack()

    for i in equation:
        if i.isdigit():
            # RULE 1
            operand_stack.push(int(_lowerCamelCase			)			)
        elif i in operators:
            # RULE 2
            operator_stack.push(_lowerCamelCase			)
        elif i == ")":
            # RULE 4
            A__							=     operator_stack.peek()
            operator_stack.pop()
            A__							=     operand_stack.peek()
            operand_stack.pop()
            A__							=     operand_stack.peek()
            operand_stack.pop()

            A__							=     operators[opr](_lowerCamelCase		,			_lowerCamelCase			)
            operand_stack.push(_lowerCamelCase			)

    # RULE 5
    return operand_stack.peek()


if __name__ == "__main__":
  __lowerCAmelCase				:      Dict						      ="(5 + ((4 * 2) * (2 + 3)))"
  # answer = 45
  print(f"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")



