
"""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"""

import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp






def 							A		(       )   ->			List[Any]:
 __UpperCamelCase       						= ArgumentParser(
     description=(
         'PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'
     )	)

 # Optional arguments for the launch helper
 parser.add_argument('--num_cores'       ,      type=snake_case       ,      default=1       ,      help='Number of TPU cores to use (1 or 8).'	)

 # positional
 parser.add_argument(
     'training_script'       ,      type=snake_case       ,      help=(
         'The full path to the single TPU training '
         'program/script to be launched in parallel, '
         'followed by all the arguments for the '
         'training script'
     )       ,      )

 # rest from the training program
 parser.add_argument('training_script_args'       ,      nargs=snake_case	)

 return parser.parse_args()






def 							A		(       )   ->			Optional[int]:
 __UpperCamelCase       						= parse_args()

 # Import training_script as a module.
 __UpperCamelCase       						= Path(args.training_script	)
 sys.path.append(str(script_fpath.parent.resolve()	)	)
 __UpperCamelCase       						= script_fpath.stem
 __UpperCamelCase       						= importlib.import_module(snake_case	)

 # Patch sys.argv
 __UpperCamelCase       						= [args.training_script] + args.training_script_args + ['--tpu_num_cores', str(args.num_cores	)]

 xmp.spawn(mod._mp_fn       ,      args=()       ,      nprocs=args.num_cores	)


if __name__ == "__main__":
      main()



