





"""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       __A (     )						->						List[str]:
				__a	:  Tuple         =					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	:  str         =					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       __A (     a_  :Dict				,    a_  :Optional[Any])						->						List[Any]:
				__a	:  Dict         =					str(tmp_path_factory.mktemp('''data''') / '''file.arrow''')
				dataset.map(cache_file_name=lowerCamelCase_)
				return filename


# FILE_CONTENT + files


A	     =					"\\n    Text data.\n    Second line of data."

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :str)						->						Optional[Any]:
				import bza

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

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

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :List[str])						->						Tuple:
				if datasets.config.LZ4_AVAILABLE:
								import lza.frame

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :Optional[int]				,    a_  :str)						->						List[Any]:
				if datasets.config.PY7ZR_AVAILABLE:
								import pyazr

								__a	:  List[str]         =					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       __A (     a_  :Tuple				,    a_  :Tuple)						->						Tuple:
				import tarfile

				__a	:  str         =					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       __A (     a_  :Optional[int])						->						str:
				import lzma

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :Any				,    a_  :Optional[int])						->						int:
				import zipfile

				__a	:  List[Any]         =					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       __A (     a_  :Optional[Any])						->						List[str]:
				if datasets.config.ZSTANDARD_AVAILABLE:
								import zstandard as zstd

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :int)						->						Tuple:
				__a	:  List[Any]         =					tmp_path_factory.mktemp('''data''') / 'file.xml'
				__a	:  Dict         =					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


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       __A (     )						->						List[Any]:
				return DATA_DICT_OF_LISTS

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :List[str])						->						Dict:
				__a	:  str         =					str(tmp_path_factory.mktemp('''data''') / '''dataset.sqlite''')
				with contextlib.closing(sqlitea.connect(lowerCamelCase_)) as con:
								__a	:  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       __A (     a_  :List[str])						->						Union[str, Any]:
				__a	:  Dict         =					str(tmp_path_factory.mktemp('''data''') / '''dataset.csv''')
				with open(lowerCamelCase_				,    '''w'''				,    newline='''''') as f:
								__a	:  Optional[int]         =					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       __A (     a_  :List[Any])						->						Dict:
				__a	:  List[str]         =					str(tmp_path_factory.mktemp('''data''') / '''dataset2.csv''')
				with open(lowerCamelCase_				,    '''w'''				,    newline='''''') as f:
								__a	:  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       __A (     a_  :Union[str, Any]				,    a_  :str)						->						int:
				import bza

				__a	:  Any         =					tmp_path_factory.mktemp('''data''') / 'dataset.csv.bz2'
				with open(lowerCamelCase_				,    '''rb''') as f:
								__a	:  Union[str, Any]         =					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       __A (     a_  :Any				,    a_  :List[Any]				,    a_  :int)						->						Any:
				__a	:  Dict         =					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       __A (     a_  :Dict				,    a_  :int				,    a_  :Optional[Any])						->						str:
				__a	:  Any         =					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       __A (     a_  :List[Any]				,    a_  :Optional[Any]				,    a_  :Dict)						->						str:
				__a	:  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       __A (     a_  :int)						->						List[str]:
				__a	:  Union[str, Any]         =					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(lowerCamelCase_				,    '''wb''') as f:
								__a	:  str         =					pq.ParquetWriter(lowerCamelCase_				,    schema=lowerCamelCase_)
								__a	:  Dict         =					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       __A (     a_  :str)						->						int:
				__a	:  Tuple         =					str(tmp_path_factory.mktemp('''data''') / '''dataset.json''')
				__a	:  Any         =					{'data': DATA}
				with open(lowerCamelCase_				,    '''w''') as f:
								json.dump(lowerCamelCase_				,    lowerCamelCase_)
				return path

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :Any)						->						str:
				__a	:  Union[str, 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       __A (     a_  :List[str])						->						Optional[Any]:
				__a	:  List[str]         =					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       __A (     a_  :Union[str, Any])						->						str:
				__a	:  Tuple         =					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       __A (     a_  :Any)						->						Tuple:
				__a	:  Optional[int]         =					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       __A (     a_  :Optional[int]				,    a_  :Union[str, Any])						->						Dict:
				import gzip

				__a	:  List[str]         =					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       __A (     a_  :Any				,    a_  :str)						->						Tuple:
				import gzip

				__a	:  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       __A (     a_  :List[Any]				,    a_  :int				,    a_  :Union[str, Any])						->						int:
				__a	:  Tuple         =					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       __A (     a_  :Union[str, Any]				,    a_  :int				,    a_  :Optional[int]				,    a_  :Dict)						->						List[str]:
				__a	:  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       __A (     a_  :Any				,    a_  :int				,    a_  :Dict)						->						str:
				__a	:  Tuple         =					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       __A (     a_  :Optional[int]				,    a_  :Union[str, Any]				,    a_  :int)						->						Union[str, Any]:
				__a	:  int         =					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       __A (     a_  :Union[str, Any]				,    a_  :Dict				,    a_  :Optional[Any]				,    a_  :List[str])						->						int:
				__a	:  List[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       __A (     a_  :List[Any])						->						List[Any]:
				__a	:  Optional[Any]         =					['0', '1', '2', '3']
				__a	:  Optional[int]         =					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       __A (     a_  :Any)						->						Optional[int]:
				__a	:  List[Any]         =					['0', '1', '2', '3']
				__a	:  Union[str, 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       __A (     a_  :Any)						->						Union[str, Any]:
				__a	:  List[Any]         =					['0', '1', '2', '3']
				__a	:  Any         =					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       __A (     a_  :str				,    a_  :Optional[Any]				,    a_  :int)						->						Dict:
				__a	:  str         =					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       __A (     a_  :Optional[int]				,    a_  :str				,    a_  :List[str])						->						Dict:
				__a	:  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       __A (     a_  :Dict				,    a_  :int				,    a_  :str)						->						List[str]:
				__a	:  List[str]         =					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       __A (     a_  :Union[str, Any])						->						Optional[int]:
				__a	:  Optional[int]         =					'\n'.join(['''First''', '''Second\u2029with Unicode new line''', '''Third'''])
				__a	:  Optional[int]         =					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       __A (     )						->						Tuple:
				return os.path.join('''tests'''				,    '''features'''				,    '''data'''				,    '''test_image_rgb.jpg''')

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

@pytest.fixture(scope='''session''')
def       __A (     a_  :str				,    a_  :int)						->						Tuple:
				__a	:  int         =					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       __A (     a_  :List[str])						->						Any:
				__a	:  Union[str, 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"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A	     =					{
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					['''MvpTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MvpForCausalLM''',
		    '''MvpForConditionalGeneration''',
		    '''MvpForQuestionAnswering''',
		    '''MvpForSequenceClassification''',
		    '''MvpModel''',
		    '''MvpPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
		from .tokenization_mvp import MvpTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mvp_fast import MvpTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mvp import (
				    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MvpForCausalLM,
				    MvpForConditionalGeneration,
				    MvpForQuestionAnswering,
				    MvpForSequenceClassification,
				    MvpModel,
				    MvpPreTrainedModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)