




'''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 					UpperCamelCase_(     ):

							'''simple docstring'''






							snake_case_      =				1_0
							snake_case_      =				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"					),
							    }					)
							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Tuple							,    snake_case							:	int					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "file.arrow"					)
							dataset.map(cache_file_name=snake_case					)
							return filename


# FILE_CONTENT + files


_SCREAMING_SNAKE_CASE							:       int						=			"\\n    Text data.\n    Second line of data."


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	str					):

							'''simple docstring'''






							snake_case_      =				tmp_path_factory.mktemp("data"					) / "file.txt"
							snake_case_      =				FILE_CONTENT
							with open(snake_case							,    "w"					) as f:
														f.write(snake_case					)
							return filename


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	str					):

							'''simple docstring'''






							import bza

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


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Any					):

							'''simple docstring'''






							import gzip

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


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Optional[Any]					):

							'''simple docstring'''






							if datasets.config.LZ4_AVAILABLE:
														import lza.frame

														snake_case_      =				tmp_path_factory.mktemp("data"					) / "file.txt.lz4"
														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	str							,    snake_case							:	int					):

							'''simple docstring'''






							if datasets.config.PY7ZR_AVAILABLE:
														import pyazr

														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	List[Any]							,    snake_case							:	str					):

							'''simple docstring'''






							import tarfile

							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	List[Any]					):

							'''simple docstring'''






							import lzma

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


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	List[str]							,    snake_case							:	Tuple					):

							'''simple docstring'''






							import zipfile

							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	List[str]					):

							'''simple docstring'''






							if datasets.config.ZSTANDARD_AVAILABLE:
														import zstandard as zstd

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


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Tuple					):

							'''simple docstring'''






							snake_case_      =				tmp_path_factory.mktemp("data"					) / "file.xml"
							snake_case_      =				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


_SCREAMING_SNAKE_CASE							:       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},
]
_SCREAMING_SNAKE_CASE							:       Optional[Any]						=			[
    {"col_1": "4", "col_2": 4, "col_3": 4.0},
    {"col_1": "5", "col_2": 5, "col_3": 5.0},
]
_SCREAMING_SNAKE_CASE							:       str						=			{
    "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							:       str						=			[
    {"col_3": 0.0, "col_1": "0", "col_2": 0},
    {"col_3": 1.0, "col_1": "1", "col_2": 1},
]

_SCREAMING_SNAKE_CASE							:       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 					UpperCamelCase_(     ):

							'''simple docstring'''






							return DATA_DICT_OF_LISTS


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				datasets.Dataset.from_dict(snake_case					)
							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.arrow"					)
							dataset.map(cache_file_name=snake_case					)
							return path


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Tuple					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.sqlite"					)
							with contextlib.closing(sqlitea.connect(snake_case					)					) as con:
														snake_case_      =				con.cursor()
														cur.execute("CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"					)
														for item in DATA:
																					cur.execute("INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)"							,    tuple(item.values()					)					)
														con.commit()
							return path


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	List[str]					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.csv"					)
							with open(snake_case							,    "w"							,    newline=""					) as f:
														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset2.csv"					)
							with open(snake_case							,    "w"							,    newline=""					) as f:
														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]							,    snake_case							:	List[Any]					):

							'''simple docstring'''






							import bza

							snake_case_      =				tmp_path_factory.mktemp("data"					) / "dataset.csv.bz2"
							with open(snake_case							,    "rb"					) as f:
														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Tuple							,    snake_case							:	str							,    snake_case							:	Optional[int]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Dict							,    snake_case							:	Dict							,    snake_case							:	int					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Any							,    snake_case							:	Dict							,    snake_case							:	List[Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	int					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.parquet"					)
							snake_case_      =				pa.schema(
							    {
							        "col_1": pa.string(),
							        "col_2": pa.intaa(),
							        "col_3": pa.floataa(),
							    }					)
							with open(snake_case							,    "wb"					) as f:
														snake_case_      =				pq.ParquetWriter(snake_case							,    schema=snake_case					)
														snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Optional[Any]					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.json"					)
							snake_case_      =				{"data": DATA}
							with open(snake_case							,    "w"					) as f:
														json.dump(snake_case							,    snake_case					)
							return path


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				str(tmp_path_factory.mktemp("data"					) / "dataset.json"					)
							snake_case_      =				{"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 					UpperCamelCase_(     snake_case							:	Optional[Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Any					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	int							,    snake_case							:	Optional[Any]					):

							'''simple docstring'''






							import gzip

							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]							,    snake_case							:	str					):

							'''simple docstring'''






							import gzip

							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Any							,    snake_case							:	Union[str, Any]							,    snake_case							:	Tuple					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Tuple							,    snake_case							:	List[Any]							,    snake_case							:	Optional[int]							,    snake_case							:	Union[str, Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Optional[int]							,    snake_case							:	Tuple							,    snake_case							:	str					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Union[str, Any]							,    snake_case							:	Optional[int]							,    snake_case							:	List[Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Dict							,    snake_case							:	Optional[int]							,    snake_case							:	int							,    snake_case							:	Any					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	List[Any]					):

							'''simple docstring'''






							snake_case_      =				["0", "1", "2", "3"]
							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	int					):

							'''simple docstring'''






							snake_case_      =				["0", "1", "2", "3"]
							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	str					):

							'''simple docstring'''






							snake_case_      =				["0", "1", "2", "3"]
							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	int							,    snake_case							:	Union[str, Any]							,    snake_case							:	Any					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Any							,    snake_case							:	Optional[int]							,    snake_case							:	Tuple					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	List[str]							,    snake_case							:	str							,    snake_case							:	List[Any]					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	str					):

							'''simple docstring'''






							snake_case_      =				"\n".join(["First", "Second\u2029with Unicode new line", "Third"]					)
							snake_case_      =				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 					UpperCamelCase_(     ):

							'''simple docstring'''






							return os.path.join("tests"							,    "features"							,    "data"							,    "test_image_rgb.jpg"					)


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     ):

							'''simple docstring'''






							return os.path.join("tests"							,    "features"							,    "data"							,    "test_audio_44100.wav"					)


@pytest.fixture(scope="session"					)
def 					UpperCamelCase_(     snake_case							:	str							,    snake_case							:	int					):

							'''simple docstring'''






							snake_case_      =				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 					UpperCamelCase_(     snake_case							:	Dict					):

							'''simple docstring'''






							snake_case_      =				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 argparse
from collections import defaultdict

import yaml


_SCREAMING_SNAKE_CASE							:       Optional[Any]						=			"docs/source/en/_toctree.yml"


def 					UpperCamelCase_(     snake_case							:	Optional[Any]					):

							'''simple docstring'''






							snake_case_      =				defaultdict(snake_case					)
							for doc in model_doc:
														counts[doc["local"]] += 1
							snake_case_      =				[key for key, value in counts.items() if value > 1]

							snake_case_      =				[]
							for duplicate_key in duplicates:
														snake_case_      =				list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key}					)
														if len(snake_case					) > 1:
																					raise ValueError(
																					    f'{duplicate_key} is present several times in the documentation table of content at '
																					    "`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the "
																					    "others."					)
														# Only add this once
														new_doc.append({"local": duplicate_key, "title": titles[0]}					)

							# Add none duplicate-keys
							new_doc.extend([doc for doc in model_doc if counts[doc["local"]] == 1]					)

							# Sort
							return sorted(snake_case							,    key=lambda snake_case					: s["title"].lower()					)


def 					UpperCamelCase_(     snake_case							:	Optional[int]=False					):

							'''simple docstring'''






							with open(snake_case							,    encoding="utf-8"					) as f:
														snake_case_      =				yaml.safe_load(f.read()					)

							# Get to the API doc
							snake_case_      =				0
							while content[api_idx]["title"] != "API":
														api_idx += 1
							snake_case_      =				content[api_idx]["sections"]

							# Then to the model doc
							snake_case_      =				0
							while api_doc[model_idx]["title"] != "Models":
														model_idx += 1

							snake_case_      =				api_doc[model_idx]["sections"]

							snake_case_      =				[(idx, section) for idx, section in enumerate(snake_case					) if "sections" in section]
							snake_case_      =				False
							for idx, modality_doc in modalities_docs:
														snake_case_      =				modality_doc["sections"]
														snake_case_      =				clean_model_doc_toc(snake_case					)

														if old_modality_doc != new_modality_doc:
																					snake_case_      =				True
																					if overwrite:
																												snake_case_      =				new_modality_doc

							if diff:
														if overwrite:
																					snake_case_      =				model_doc
																					snake_case_      =				api_doc
																					with open(snake_case							,    "w"							,    encoding="utf-8"					) as f:
																												f.write(yaml.dump(snake_case							,    allow_unicode=snake_case					)					)
														else:
																					raise ValueError(
																					    "The model doc part of the table of content is not properly sorted, run `make style` to fix this."					)


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE							:       List[str]						=			argparse.ArgumentParser()
		parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
		_SCREAMING_SNAKE_CASE							:       Any						=			parser.parse_args()

		check_model_doc(args.fix_and_overwrite)




