
"""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		(       )   ->			Union[str, Any]:
 __UpperCamelCase       						= 1_0
 __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': [9_7], 'text': ['1976']}] * 1_0,
         'id': list(range(snake_case	)	),
     }       ,      features=snake_case       ,      )
 return dataset






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Tuple       ,      snake_case   :Tuple	)   ->			Any:
 __UpperCamelCase       						= str(tmp_path_factory.mktemp('data'	) / 'file.arrow'	)
 dataset.map(cache_file_name=snake_case	)
 return filename


# FILE_CONTENT + files


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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[int]	)   ->			Tuple:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'file.txt'
 __UpperCamelCase       						= FILE_CONTENT
 with open(snake_case       ,      'w'	) as f:
  f.write(snake_case	)
 return filename






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :List[str]	)   ->			str:
 import bza

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[Any]	)   ->			Optional[int]:
 import gzip

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[int]	)   ->			Dict:
 if datasets.config.LZ4_AVAILABLE:
  import lza.frame

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :int       ,      snake_case   :Union[str, Any]	)   ->			int:
 if datasets.config.PY7ZR_AVAILABLE:
  import pyazr

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :List[str]       ,      snake_case   :int	)   ->			Optional[Any]:
 import tarfile

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[int]	)   ->			str:
 import lzma

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :int       ,      snake_case   :List[Any]	)   ->			Tuple:
 import zipfile

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :int	)   ->			Union[str, Any]:
 if datasets.config.ZSTANDARD_AVAILABLE:
  import zstandard as zstd

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Tuple	)   ->			str:
 __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(snake_case       ,      'w'	) as f:
  f.write(snake_case	)
 return filename


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

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

UpperCamelCase			:       List[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 							A		(       )   ->			List[str]:
 return DATA_DICT_OF_LISTS






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






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Dict       ,      snake_case   :int	)   ->			str:
 import bza

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






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






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Any	)   ->			Any:
 __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(snake_case       ,      'wb'	) as f:
  __UpperCamelCase       						= pq.ParquetWriter(snake_case       ,      schema=snake_case	)
  __UpperCamelCase       						= pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(snake_case	)	)] for k in DATA[0]}       ,      schema=snake_case	)
  writer.write_table(snake_case	)
  writer.close()
 return path






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Any	)   ->			Any:
 __UpperCamelCase       						= str(tmp_path_factory.mktemp('data'	) / 'dataset.json'	)
 __UpperCamelCase       						= {'data': DATA}
 with open(snake_case       ,      'w'	) as f:
  json.dump(snake_case       ,      snake_case	)
 return path






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :List[Any]	)   ->			List[Any]:
 __UpperCamelCase       						= str(tmp_path_factory.mktemp('data'	) / 'dataset2.jsonl'	)
 with open(snake_case       ,      'w'	) as f:
  for item in DATA:
   f.write(json.dumps(snake_case	) + '\n'	)
 return path






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :List[Any]       ,      snake_case   :List[Any]	)   ->			Union[str, Any]:
 import gzip

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






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

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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[Any]       ,      snake_case   :Union[str, Any]       ,      snake_case   :Optional[Any]	)   ->			Optional[int]:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'dataset.jsonl.zip'
 with zipfile.ZipFile(snake_case       ,      'w'	) as f:
  f.write(snake_case       ,      arcname=os.path.basename(snake_case	)	)
  f.write(snake_case       ,      arcname=os.path.basename(snake_case	)	)
 return path






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :List[Any]       ,      snake_case   :str       ,      snake_case   :List[Any]       ,      snake_case   :Tuple	)   ->			str:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'dataset_nested.jsonl.zip'
 with zipfile.ZipFile(snake_case       ,      'w'	) as f:
  f.write(snake_case       ,      arcname=os.path.join('nested'       ,      os.path.basename(snake_case	)	)	)
 return path






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Tuple       ,      snake_case   :str       ,      snake_case   :Optional[Any]	)   ->			List[Any]:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'dataset.jsonl.tar'
 with tarfile.TarFile(snake_case       ,      'w'	) as f:
  f.add(snake_case       ,      arcname=os.path.basename(snake_case	)	)
  f.add(snake_case       ,      arcname=os.path.basename(snake_case	)	)
 return path






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Tuple       ,      snake_case   :Tuple       ,      snake_case   :List[Any]       ,      snake_case   :Tuple	)   ->			Optional[Any]:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'dataset_nested.jsonl.tar'
 with tarfile.TarFile(snake_case       ,      'w'	) as f:
  f.add(snake_case       ,      arcname=os.path.join('nested'       ,      os.path.basename(snake_case	)	)	)
 return path






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






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






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






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






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[Any]	)   ->			Any:
 __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(snake_case       ,      'w'       ,      encoding='utf-8'	) as f:
  f.write(snake_case	)
 return path






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






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






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Optional[int]       ,      snake_case   :str	)   ->			List[Any]:
 __UpperCamelCase       						= tmp_path_factory.mktemp('data'	) / 'dataset.img.zip'
 with zipfile.ZipFile(snake_case       ,      'w'	) as f:
  f.write(snake_case       ,      arcname=os.path.basename(snake_case	)	)
  f.write(snake_case       ,      arcname=os.path.basename(snake_case	).replace('.jpg'       ,      '2.jpg'	)	)
 return path






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :Union[str, Any]	)   ->			Any:
 __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' * 1_0	)
 with open(data_dir / 'subdir' / 'test.txt'       ,      'w'	) as f:
  f.write('bar\n' * 1_0	)
 # hidden file
 with open(data_dir / 'subdir' / '.test.txt'       ,      'w'	) as f:
  f.write('bar\n' * 1_0	)

 # hidden directory
 (data_dir / ".subdir").mkdir()
 with open(data_dir / '.subdir' / 'train.txt'       ,      'w'	) as f:
  f.write('foo\n' * 1_0	)
 with open(data_dir / '.subdir' / 'test.txt'       ,      'w'	) as f:
  f.write('bar\n' * 1_0	)

 return data_dir





"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase			:       Dict									=				{
    "configuration_lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig"],
    "tokenization_lxmert": ["LxmertTokenizer"],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase			:       List[str]									=				["LxmertTokenizerFast"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase			:       Optional[Any]									=				[
          "LxmertEncoder",
          "LxmertForPreTraining",
          "LxmertForQuestionAnswering",
          "LxmertModel",
          "LxmertPreTrainedModel",
          "LxmertVisualFeatureEncoder",
          "LxmertXLayer",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase			:       List[Any]									=				[
          "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "TFLxmertForPreTraining",
          "TFLxmertMainLayer",
          "TFLxmertModel",
          "TFLxmertPreTrainedModel",
          "TFLxmertVisualFeatureEncoder",
      ]


if TYPE_CHECKING:
      from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
      from .tokenization_lxmert import LxmertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_lxmert_fast import LxmertTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_lxmert import (
                LxmertEncoder,
                LxmertForPreTraining,
                LxmertForQuestionAnswering,
                LxmertModel,
                LxmertPreTrainedModel,
                LxmertVisualFeatureEncoder,
                LxmertXLayer,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_lxmert import (
                TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFLxmertForPreTraining,
                TFLxmertMainLayer,
                TFLxmertModel,
                TFLxmertPreTrainedModel,
                TFLxmertVisualFeatureEncoder,
            )

else:
      import sys

      UpperCamelCase			:       Any									=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



