




"""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   _SCREAMING_SNAKE_CASE       (							)						->		Tuple:
 A__	=    10
 A__	=    datasets.Features(
     {
         "tokens": datasets.Sequence(datasets.Value("string"						)						),
         "labels": datasets.Sequence(datasets.ClassLabel(names=["negative", "positive"]						)						),
         "answers": datasets.Sequence(
             {
                 "text": datasets.Value("string"						),
                 "answer_start": datasets.Value("int32"						),
             }						),
         "id": datasets.Value("int64"						),
     }						)
 A__	=    datasets.Dataset.from_dict(
     {
         "tokens": [["foo"] * 5] * n,
         "labels": [[1] * 5] * n,
         "answers": [{"answer_start": [97], "text": ["1976"]}] * 10,
         "id": list(range(UpperCAmelCase_						)						),
     }      ,			features=UpperCAmelCase_      ,			)
 return dataset







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		int:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "file.arrow"						)
 dataset.map(cache_file_name=UpperCAmelCase_						)
 return filename


# FILE_CONTENT + files


SCREAMING_SNAKE_CASE    =	'\\n    Text data.\n    Second line of data.'







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Union[str, Any]:
 A__	=    tmp_path_factory.mktemp("data"						) / "file.txt"
 A__	=    FILE_CONTENT
 with open(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_						)
 return filename







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		int:
 import bza

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		int:
 import gzip

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Tuple:
 if datasets.config.LZ4_AVAILABLE:
  import lza.frame

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Any:
 if datasets.config.PY7ZR_AVAILABLE:
  import pyazr

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Any:
 import tarfile

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Tuple:
 import lzma

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Tuple:
 import zipfile

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 if datasets.config.ZSTANDARD_AVAILABLE:
  import zstandard as zstd

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		str:
 A__	=    tmp_path_factory.mktemp("data"						) / "file.xml"
 A__	=    textwrap.dedent(
     "\\n    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>\n    <tmx version=\"1.4\">\n      <header segtype=\"sentence\" srclang=\"ca\" />\n      <body>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>"						)
 with open(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_						)
 return filename


SCREAMING_SNAKE_CASE    =	[
    {'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    =	[
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
SCREAMING_SNAKE_CASE    =	{
    '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    =	[
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

SCREAMING_SNAKE_CASE    =	[
    {'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   _SCREAMING_SNAKE_CASE       (							)						->		Union[str, Any]:
 return DATA_DICT_OF_LISTS







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Any:
 A__	=    datasets.Dataset.from_dict(UpperCAmelCase_						)
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.arrow"						)
 dataset.map(cache_file_name=UpperCAmelCase_						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Union[str, Any]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.sqlite"						)
 with contextlib.closing(sqlitea.connect(UpperCAmelCase_						)						) as con:
  A__	=    con.cursor()
  cur.execute("CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"						)
  for item in DATA:
   cur.execute("INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)"      ,			tuple(item.values()						)						)
  con.commit()
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		str:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.csv"						)
 with open(UpperCAmelCase_      ,			"w"      ,			newline=""						) as f:
  A__	=    csv.DictWriter(UpperCAmelCase_      ,			fieldnames=["col_1", "col_2", "col_3"]						)
  writer.writeheader()
  for item in DATA:
   writer.writerow(UpperCAmelCase_						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset2.csv"						)
 with open(UpperCAmelCase_      ,			"w"      ,			newline=""						) as f:
  A__	=    csv.DictWriter(UpperCAmelCase_      ,			fieldnames=["col_1", "col_2", "col_3"]						)
  writer.writeheader()
  for item in DATA:
   writer.writerow(UpperCAmelCase_						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		List[str]:
 import bza

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[Any]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.csv.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[str]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.csv.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(csv_path.replace(".csv"      ,			".CSV"						)						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(csva_path.replace(".csv"      ,			".CSV"						)						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		int:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset_with_dir.csv.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.parquet"						)
 A__	=    pa.schema(
     {
         "col_1": pa.string(),
         "col_2": pa.intaa(),
         "col_3": pa.floataa(),
     }						)
 with open(UpperCAmelCase_      ,			"wb"						) as f:
  A__	=    pq.ParquetWriter(UpperCAmelCase_      ,			schema=UpperCAmelCase_						)
  A__	=    pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(UpperCAmelCase_						)						)] for k in DATA[0]}      ,			schema=UpperCAmelCase_						)
  writer.write_table(UpperCAmelCase_						)
  writer.close()
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.json"						)
 A__	=    {"data": DATA}
 with open(UpperCAmelCase_      ,			"w"						) as f:
  json.dump(UpperCAmelCase_      ,			UpperCAmelCase_						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Union[str, Any]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.json"						)
 A__	=    {"data": DATA_DICT_OF_LISTS}
 with open(UpperCAmelCase_      ,			"w"						) as f:
  json.dump(UpperCAmelCase_      ,			UpperCAmelCase_						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		List[str]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset.jsonl"						)
 with open(UpperCAmelCase_      ,			"w"						) as f:
  for item in DATA:
   f.write(json.dumps(UpperCAmelCase_						) + "\n"						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Union[str, Any]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset2.jsonl"						)
 with open(UpperCAmelCase_      ,			"w"						) as f:
  for item in DATA:
   f.write(json.dumps(UpperCAmelCase_						) + "\n"						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset_312.jsonl"						)
 with open(UpperCAmelCase_      ,			"w"						) as f:
  for item in DATA_312:
   f.write(json.dumps(UpperCAmelCase_						) + "\n"						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 A__	=    str(tmp_path_factory.mktemp("data"						) / "dataset-str.jsonl"						)
 with open(UpperCAmelCase_      ,			"w"						) as f:
  for item in DATA_STR:
   f.write(json.dumps(UpperCAmelCase_						) + "\n"						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Union[str, Any]:
 import gzip

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		str:
 import gzip

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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Union[str, Any]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.jsonl.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_      ,			lowercase_						)						->		Any:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset_nested.jsonl.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("nested"      ,			os.path.basename(UpperCAmelCase_						)						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		str:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset_with_dir.jsonl.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Union[str, Any]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.jsonl.tar"
 with tarfile.TarFile(UpperCAmelCase_      ,			"w"						) as f:
  f.add(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
  f.add(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_      ,			lowercase_						)						->		int:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset_nested.jsonl.tar"
 with tarfile.TarFile(UpperCAmelCase_      ,			"w"						) as f:
  f.add(UpperCAmelCase_      ,			arcname=os.path.join("nested"      ,			os.path.basename(UpperCAmelCase_						)						)						)
 return path







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







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







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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Optional[int]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.text.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Optional[Any]:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset_with_dir.text.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.join("main_dir"      ,			os.path.basename(UpperCAmelCase_						)						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Dict:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.ext.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename("unsupported.ext"						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename("unsupported_2.ext"						)						)
 return path







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







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							)						->		Optional[Any]:
 return os.path.join("tests"      ,			"features"      ,			"data"      ,			"test_image_rgb.jpg"						)







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							)						->		Optional[int]:
 return os.path.join("tests"      ,			"features"      ,			"data"      ,			"test_audio_44100.wav"						)







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Dict:
 A__	=    tmp_path_factory.mktemp("data"						) / "dataset.img.zip"
 with zipfile.ZipFile(UpperCAmelCase_      ,			"w"						) as f:
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						)						)
  f.write(UpperCAmelCase_      ,			arcname=os.path.basename(UpperCAmelCase_						).replace(".jpg"      ,			"2.jpg"						)						)
 return path







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 A__	=    tmp_path_factory.mktemp("data_dir"						)

 (data_dir / "subdir").mkdir()
 with open(data_dir / "subdir" / "train.txt"      ,			"w"						) as f:
  f.write("foo\n" * 10						)
 with open(data_dir / "subdir" / "test.txt"      ,			"w"						) as f:
  f.write("bar\n" * 10						)
 # hidden file
 with open(data_dir / "subdir" / ".test.txt"      ,			"w"						) as f:
  f.write("bar\n" * 10						)

 # hidden directory
 (data_dir / ".subdir").mkdir()
 with open(data_dir / ".subdir" / "train.txt"      ,			"w"						) as f:
  f.write("foo\n" * 10						)
 with open(data_dir / ".subdir" / "test.txt"      ,			"w"						) as f:
  f.write("bar\n" * 10						)

 return data_dir











"""simple docstring"""



SCREAMING_SNAKE_CASE    =	"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

SCREAMING_SNAKE_CASE    =	[{"type": "code", "content": INSTALL_CONTENT}]
SCREAMING_SNAKE_CASE    =	{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}





