


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 							UpperCamelCase_( )       ->		Any:
    _lowercase			:				str 						=						10
    _lowercase			:				List[str] 						=						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'					),
        }					)
    _lowercase			:				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(lowerCamelCase_					)					),
        }				,					features=lowerCamelCase_				,					)
    return dataset



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		int:
    _lowercase			:				int 						=						str(tmp_path_factory.mktemp('data'					) / 'file.arrow'					)
    dataset.map(cache_file_name=lowerCamelCase_					)
    return filename


# FILE_CONTENT + files


SCREAMING_SNAKE_CASE			: str				   =					"\\n    Text data.\n    Second line of data."



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'file.txt'
    _lowercase			:				List[str] 						=						FILE_CONTENT
    with open(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_					)
    return filename



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Tuple:
    import bza

    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.bz2'
    _lowercase			:				Optional[Any] 						=						bytes(lowerCamelCase_				,					'utf-8'					)
    with bza.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    import gzip

    _lowercase			:				Optional[int] 						=						str(tmp_path_factory.mktemp('data'					) / 'file.txt.gz'					)
    _lowercase			:				Optional[int] 						=						bytes(lowerCamelCase_				,					'utf-8'					)
    with gzip.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    if datasets.config.LZ4_AVAILABLE:
        import lza.frame

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    if datasets.config.PY7ZR_AVAILABLE:
        import pyazr

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		List[str]:
    import tarfile

    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    import lzma

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    import zipfile

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    if datasets.config.ZSTANDARD_AVAILABLE:
        import zstandard as zstd

        _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.zst'
        _lowercase			:				Dict 						=						bytes(lowerCamelCase_				,					'utf-8'					)
        with zstd.open(lowerCamelCase_				,					'wb'					) as f:
            f.write(lowerCamelCase_					)
        return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    _lowercase			:				Union[str, Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.xml'
    _lowercase			:				Optional[Any] 						=						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(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_					)
    return filename


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

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

SCREAMING_SNAKE_CASE			: Any				   =					[
    {"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 							UpperCamelCase_( )       ->		List[str]:
    return DATA_DICT_OF_LISTS



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				Optional[int] 						=						datasets.Dataset.from_dict(lowerCamelCase_					)
    _lowercase			:				List[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.arrow'					)
    dataset.map(cache_file_name=lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    _lowercase			:				List[str] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.sqlite'					)
    with contextlib.closing(sqlitea.connect(lowerCamelCase_					)					) as con:
        _lowercase			:				Union[str, Any] 						=						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 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				List[str] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.csv'					)
    with open(lowerCamelCase_				,					'w'				,					newline=''					) as f:
        _lowercase			:				Tuple 						=						csv.DictWriter(lowerCamelCase_				,					fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    _lowercase			:				Tuple 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.csv'					)
    with open(lowerCamelCase_				,					'w'				,					newline=''					) as f:
        _lowercase			:				str 						=						csv.DictWriter(lowerCamelCase_				,					fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    import bza

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[int]:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(csv_path.replace('.csv'				,					'.CSV'					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(csva_path.replace('.csv'				,					'.CSV'					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				Union[str, Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				Optional[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    _lowercase			:				List[Any] 						=						{'data': DATA}
    with open(lowerCamelCase_				,					'w'					) as f:
        json.dump(lowerCamelCase_				,					lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Any:
    _lowercase			:				Tuple 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    _lowercase			:				Optional[Any] 						=						{'data': DATA_DICT_OF_LISTS}
    with open(lowerCamelCase_				,					'w'					) as f:
        json.dump(lowerCamelCase_				,					lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				Any 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				Dict 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				Optional[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset_312.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA_312:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[Any]:
    import gzip

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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Dict:
    import gzip

    _lowercase			:				Optional[int] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.gz'					)
    with open(lowerCamelCase_				,					'rb'					) as orig_file:
        with gzip.open(lowerCamelCase_				,					'wb'					) as zipped_file:
            zipped_file.writelines(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('nested'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		int:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[int]:
    _lowercase			:				Tuple 						=						tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.join('nested'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Any:
    _lowercase			:				Optional[int] 						=						['0', '1', '2', '3']
    _lowercase			:				str 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.txt'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				str 						=						['0', '1', '2', '3']
    _lowercase			:				List[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.txt'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				List[Any] 						=						['0', '1', '2', '3']
    _lowercase			:				Optional[int] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.abc'
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.text.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Dict:
    _lowercase			:				List[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.text.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'dataset.ext.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename('unsupported.ext'					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename('unsupported_2.ext'					)					)
    return path



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



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		Dict:
    return os.path.join('tests'				,					'features'				,					'data'				,					'test_image_rgb.jpg'					)



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		int:
    return os.path.join('tests'				,					'features'				,					'data'				,					'test_audio_44100.wav'					)



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				Dict 						=						tmp_path_factory.mktemp('data'					) / 'dataset.img.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					).replace('.jpg'				,					'2.jpg'					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				str 						=						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 doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
A	:  List[str]            =     pytest.mark.integration


A	:  Optional[Any]            =     {"comet"}
A	:  int            =     importlib.util.find_spec("fairseq") is not None

A	:  Union[str, Any]            =     {"code_eval"}
A	:  Dict            =     os.name == "nt"

A	:  Dict            =     {"bertscore", "frugalscore", "perplexity"}
A	:  Any            =     importlib.util.find_spec("transformers") is not None


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			@wraps(_UpperCamelCase )
			def wrapper(self       ,					_UpperCamelCase ):
						if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
									self.skipTest("\"test requires Fairseq\"" )
						else:
									test_case(self       ,					_UpperCamelCase )

			return wrapper


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			@wraps(_UpperCamelCase )
			def wrapper(self       ,					_UpperCamelCase ):
						if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
									self.skipTest("\"test requires transformers\"" )
						else:
									test_case(self       ,					_UpperCamelCase )

			return wrapper


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			@wraps(_UpperCamelCase )
			def wrapper(self       ,					_UpperCamelCase ):
						if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
									self.skipTest("\"test not supported on Windows\"" )
						else:
									test_case(self       ,					_UpperCamelCase )

			return wrapper


def _lowerCamelCase      (						):

			'''simple docstring'''




			__lowerCAmelCase							       =     [metric_dir.split(os.sep )[-2] for metric_dir in glob.glob("./metrics/*/" )]
			return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished
@parameterized.named_parameters(get_local_metric_names()						)
@for_all_test_methods(
    lowerCAmelCase__			,lowerCAmelCase__			,lowerCAmelCase__						)
@local
class     _UpperCamelCase    (  parameterized.TestCase						):
							'''simple docstring'''







							__UpperCAmelCase		:       Any							 ={}
							__UpperCAmelCase		:       List[str]							 =None

							@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"      )
							@pytest.mark.filterwarnings("ignore:load_metric is deprecated:FutureWarning"      )
							def      snake_case							(	self       ,  __a      ):
										__lowerCAmelCase							       =     "[...]"
										__lowerCAmelCase							       =     importlib.import_module(
										    datasets.load.metric_module_factory(os.path.join("metrics"       ,  __a      )      ).module_path      )
										__lowerCAmelCase							       =     datasets.load.import_main_class(metric_module.__name__       ,  dataset=__a      )
										# check parameters
										__lowerCAmelCase							       =     inspect.signature(metric._compute      ).parameters
										self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()      )      )  # no **kwargs
										# run doctest
										with self.patch_intensive_calls(__a       ,  metric_module.__name__      ):
													with self.use_local_metrics():
																try:
																			__lowerCAmelCase							       =     doctest.testmod(__a       ,  verbose=__a       ,  raise_on_error=__a      )
																except doctest.UnexpectedException as e:
																			raise e.exc_info[1]  # raise the exception that doctest caught
										self.assertEqual(results.failed       ,  0      )
										self.assertGreater(results.attempted       ,  1      )

							@slow
							def      snake_case							(	self       ,  __a      ):
										__lowerCAmelCase							       =     "[...]"
										__lowerCAmelCase							       =     importlib.import_module(
										    datasets.load.metric_module_factory(os.path.join("metrics"       ,  __a      )      ).module_path      )
										# run doctest
										with self.use_local_metrics():
													__lowerCAmelCase							       =     doctest.testmod(__a       ,  verbose=__a       ,  raise_on_error=__a      )
										self.assertEqual(results.failed       ,  0      )
										self.assertGreater(results.attempted       ,  1      )

							@contextmanager
							def      snake_case							(	self       ,  __a       ,  __a      ):
										if metric_name in self.INTENSIVE_CALLS_PATCHER:
													with self.INTENSIVE_CALLS_PATCHER[metric_name](__a      ):
																yield
										else:
													yield

							@contextmanager
							def      snake_case							(	self      ):
										def load_local_metric(__a       ,  *__a       ,  **__a      ):
													return load_metric(os.path.join("metrics"       ,  __a      )       ,  *__a       ,  **__a      )

										with patch("datasets.load_metric"      ) as mock_load_metric:
													__lowerCAmelCase							       =     load_local_metric
													yield



							@classmethod
							def      snake_case							(	cls       ,  __a      ):
										def wrapper(__a      ):
													__lowerCAmelCase							       =     contextmanager(__a      )
													__lowerCAmelCase							       =     patcher
													return patcher

										return wrapper


@LocalMetricTest.register_intensive_calls_patcher("bleurt" )
def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			import tensorflow.compat.va as tf
			from bleurt.score import Predictor

			tf.flags.DEFINE_string("sv"       ,					""       ,					"" )  # handle pytest cli flags
			class     _UpperCamelCase    (  lowerCAmelCase__						):
										'''simple docstring'''







										def      snake_case							(	self       ,  __a      ):
													assert len(input_dict["input_ids"]      ) == 2
													return np.array([1.0_3, 1.0_4]      )

    # mock predict_fn which is supposed to do a forward pass with a bleurt model
			with patch("bleurt.score._create_predictor" ) as mock_create_predictor:
						__lowerCAmelCase							       =     MockedPredictor()
						yield


@LocalMetricTest.register_intensive_calls_patcher("bertscore" )
def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			import torch

			def bert_cos_score_idf(_UpperCamelCase       ,					_UpperCamelCase       ,					*_UpperCamelCase       ,					**_UpperCamelCase ):
						return torch.tensor([[1.0, 1.0, 1.0]] * len(_UpperCamelCase ) )

			# mock get_model which is supposed to do download a bert model
			# mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
			with patch("bert_score.scorer.get_model" ), patch(
			    "bert_score.scorer.bert_cos_score_idf" ) as mock_bert_cos_score_idf:
						__lowerCAmelCase							       =     bert_cos_score_idf
						yield


@LocalMetricTest.register_intensive_calls_patcher("comet" )
def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			def load_from_checkpoint(_UpperCamelCase ):
						class     _UpperCamelCase    :
													'''simple docstring'''







													def      snake_case							(	self       ,  __a       ,  *__a       ,  **__a      ):
																assert len(__a      ) == 2
																__lowerCAmelCase							       =     [0.1_9, 0.9_2]
																return scores, sum(__a      ) / len(__a      )
						return Model()

			# mock load_from_checkpoint which is supposed to do download a bert model
			# mock load_from_checkpoint which is supposed to do download a bert model
			with patch("comet.download_model" ) as mock_download_model:
						__lowerCAmelCase							       =     None
						with patch("comet.load_from_checkpoint" ) as mock_load_from_checkpoint:
									__lowerCAmelCase							       =     load_from_checkpoint
									yield


def _lowerCamelCase      (						):

			'''simple docstring'''




			__lowerCAmelCase							       =     load_metric(os.path.join("metrics"       ,					"seqeval" ) )
			__lowerCAmelCase							       =     "ERROR"
			__lowerCAmelCase							       =     f"Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}"
			with pytest.raises(_UpperCamelCase       ,					match=re.escape(_UpperCamelCase ) ):
						metric.compute(predictions=[]       ,					references=[]       ,					scheme=_UpperCamelCase )




