





"""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	(			)				->List[str]:






	'''simple docstring'''






	a   :	int			=       10
	a   :	Any			=       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   :	Tuple			=       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		:					Union[str, Any]					, _lowercase		:					Dict      )				->List[str]:






	'''simple docstring'''






	a   :	str			=       str(tmp_path_factory.mktemp("data"      ) / "file.arrow"      )
	dataset.map(cache_file_name=__UpperCamelCase      )
	return filename


# FILE_CONTENT + files


_A		:				List[Any]  			=    '''\
    Text data.
    Second line of data.'''






@pytest.fixture(scope="session"      )
def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int      )				->Dict:






	'''simple docstring'''






	a   :	Union[str, Any]			=       tmp_path_factory.mktemp("data"      ) / """file.txt"""
	a   :	Optional[Any]			=       FILE_CONTENT
	with open(__UpperCamelCase					, "w"      ) as f:
		f.write(__UpperCamelCase      )
	return filename






@pytest.fixture(scope="session"      )
def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Optional[Any]      )				->Optional[Any]:






	'''simple docstring'''






	import bza

	a   :	Dict			=       tmp_path_factory.mktemp("data"      ) / """file.txt.bz2"""
	a   :	Any			=       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		:					Optional[int]      )				->Any:






	'''simple docstring'''






	import gzip

	a   :	Tuple			=       str(tmp_path_factory.mktemp("data"      ) / "file.txt.gz"      )
	a   :	List[Any]			=       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		:					Dict      )				->str:






	'''simple docstring'''






	if datasets.config.LZ4_AVAILABLE:
		import lza.frame

		a   :	Any			=       tmp_path_factory.mktemp("data"      ) / """file.txt.lz4"""
		a   :	Optional[Any]			=       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		:					List[str]					, _lowercase		:					Optional[int]      )				->Dict:






	'''simple docstring'''






	if datasets.config.PY7ZR_AVAILABLE:
		import pyazr

		a   :	Any			=       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		:					Optional[int]					, _lowercase		:					Tuple      )				->str:






	'''simple docstring'''






	import tarfile

	a   :	Tuple			=       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		:					Any      )				->Any:






	'''simple docstring'''






	import lzma

	a   :	str			=       tmp_path_factory.mktemp("data"      ) / """file.txt.xz"""
	a   :	str			=       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		:					Union[str, Any]					, _lowercase		:					Dict      )				->List[Any]:






	'''simple docstring'''






	import zipfile

	a   :	Optional[int]			=       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		:					Any      )				->Dict:






	'''simple docstring'''






	if datasets.config.ZSTANDARD_AVAILABLE:
		import zstandard as zstd

		a   :	Any			=       tmp_path_factory.mktemp("data"      ) / """file.txt.zst"""
		a   :	Tuple			=       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		:					Optional[int]      )				->Any:






	'''simple docstring'''






	a   :	Dict			=       tmp_path_factory.mktemp("data"      ) / """file.xml"""
	a   :	List[str]			=       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


_A		:				List[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},
]
_A		:				Tuple  			=    [
    {'''col_1''': '''4''', '''col_2''': 4, '''col_3''': 4.0},
    {'''col_1''': '''5''', '''col_2''': 5, '''col_3''': 5.0},
]
_A		:				int  			=    {
    '''col_1''': ['''0''', '''1''', '''2''', '''3'''],
    '''col_2''': [0, 1, 2, 3],
    '''col_3''': [0.0, 1.0, 2.0, 3.0],
}

_A		:				int  			=    [
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

_A		:				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    _SCREAMING_SNAKE_CASE	(			)				->Optional[int]:






	'''simple docstring'''






	return DATA_DICT_OF_LISTS






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






	'''simple docstring'''






	a   :	Optional[int]			=       datasets.Dataset.from_dict(__UpperCamelCase      )
	a   :	List[str]			=       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]      )				->Union[str, Any]:






	'''simple docstring'''






	a   :	str			=       str(tmp_path_factory.mktemp("data"      ) / "dataset.sqlite"      )
	with contextlib.closing(sqlitea.connect(__UpperCamelCase      )      ) as con:
		a   :	Tuple			=       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		:					Tuple      )				->Dict:






	'''simple docstring'''






	a   :	List[Any]			=       str(tmp_path_factory.mktemp("data"      ) / "dataset.csv"      )
	with open(__UpperCamelCase					, "w"					, newline=""      ) as f:
		a   :	Optional[Any]			=       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		:					Union[str, Any]      )				->Any:






	'''simple docstring'''






	a   :	Union[str, Any]			=       str(tmp_path_factory.mktemp("data"      ) / "dataset2.csv"      )
	with open(__UpperCamelCase					, "w"					, newline=""      ) as f:
		a   :	str			=       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		:					Any					, _lowercase		:					int      )				->Any:






	'''simple docstring'''






	import bza

	a   :	Tuple			=       tmp_path_factory.mktemp("data"      ) / """dataset.csv.bz2"""
	with open(__UpperCamelCase					, "rb"      ) as f:
		a   :	int			=       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		:					Dict					, _lowercase		:					int					, _lowercase		:					str      )				->Union[str, Any]:






	'''simple docstring'''






	a   :	int			=       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		:					str					, _lowercase		:					List[str]					, _lowercase		:					Optional[Any]      )				->Dict:






	'''simple docstring'''






	a   :	Any			=       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		:					List[str]					, _lowercase		:					Optional[Any]					, _lowercase		:					Optional[int]      )				->List[Any]:






	'''simple docstring'''






	a   :	int			=       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		:					int      )				->Tuple:






	'''simple docstring'''






	a   :	Any			=       str(tmp_path_factory.mktemp("data"      ) / "dataset.parquet"      )
	a   :	Any			=       pa.schema(
	    {
	        "col_1": pa.string(),
	        "col_2": pa.intaa(),
	        "col_3": pa.floataa(),
	    }      )
	with open(__UpperCamelCase					, "wb"      ) as f:
		a   :	Optional[int]			=       pq.ParquetWriter(__UpperCamelCase					, schema=__UpperCamelCase      )
		a   :	Optional[int]			=       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		:					Dict      )				->Union[str, Any]:






	'''simple docstring'''






	a   :	Optional[Any]			=       str(tmp_path_factory.mktemp("data"      ) / "dataset.json"      )
	a   :	Any			=       {"""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]      )				->str:






	'''simple docstring'''






	a   :	Tuple			=       str(tmp_path_factory.mktemp("data"      ) / "dataset.json"      )
	a   :	List[Any]			=       {"""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		:					Optional[Any]      )				->List[str]:






	'''simple docstring'''






	a   :	Optional[Any]			=       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		:					Optional[Any]      )				->str:






	'''simple docstring'''






	a   :	int			=       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		:					Any      )				->Optional[int]:






	'''simple docstring'''






	a   :	str			=       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		:					List[Any]      )				->Optional[Any]:






	'''simple docstring'''






	a   :	Optional[Any]			=       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		:					Any					, _lowercase		:					Union[str, Any]      )				->List[str]:






	'''simple docstring'''






	import gzip

	a   :	List[str]			=       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		:					str					, _lowercase		:					List[str]      )				->Optional[int]:






	'''simple docstring'''






	import gzip

	a   :	Dict			=       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		:					Dict					, _lowercase		:					Dict					, _lowercase		:					Union[str, Any]      )				->List[str]:






	'''simple docstring'''






	a   :	List[str]			=       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		:					Tuple					, _lowercase		:					Tuple					, _lowercase		:					Optional[Any]					, _lowercase		:					str      )				->str:






	'''simple docstring'''






	a   :	int			=       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		:					Optional[int]					, _lowercase		:					List[Any]					, _lowercase		:					Dict      )				->int:






	'''simple docstring'''






	a   :	Union[str, Any]			=       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		:					List[str]					, _lowercase		:					Tuple					, _lowercase		:					Tuple      )				->List[str]:






	'''simple docstring'''






	a   :	Tuple			=       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		:					Union[str, Any]					, _lowercase		:					Any					, _lowercase		:					List[Any]					, _lowercase		:					int      )				->List[str]:






	'''simple docstring'''






	a   :	Union[str, Any]			=       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		:					str      )				->Dict:






	'''simple docstring'''






	a   :	str			=       ["""0""", """1""", """2""", """3"""]
	a   :	Dict			=       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		:					Dict      )				->Union[str, Any]:






	'''simple docstring'''






	a   :	int			=       ["""0""", """1""", """2""", """3"""]
	a   :	int			=       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		:					List[str]      )				->List[Any]:






	'''simple docstring'''






	a   :	List[Any]			=       ["""0""", """1""", """2""", """3"""]
	a   :	str			=       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		:					Dict					, _lowercase		:					List[Any]					, _lowercase		:					Dict      )				->List[str]:






	'''simple docstring'''






	a   :	Union[str, Any]			=       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		:					Union[str, Any]					, _lowercase		:					Any					, _lowercase		:					Optional[Any]      )				->Optional[Any]:






	'''simple docstring'''






	a   :	Dict			=       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		:					List[Any]					, _lowercase		:					Optional[Any]					, _lowercase		:					Optional[int]      )				->Tuple:






	'''simple docstring'''






	a   :	Optional[Any]			=       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		:					str      )				->Optional[int]:






	'''simple docstring'''






	a   :	List[Any]			=       """\n""".join(["First", "Second\u2029with Unicode new line", "Third"]      )
	a   :	List[str]			=       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]:






	'''simple docstring'''






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






@pytest.fixture(scope="session"      )
def    _SCREAMING_SNAKE_CASE	(			)				->Optional[int]:






	'''simple docstring'''






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






@pytest.fixture(scope="session"      )
def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Dict					, _lowercase		:					List[Any]      )				->Any:






	'''simple docstring'''






	a   :	Any			=       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		:					Any      )				->Tuple:






	'''simple docstring'''






	a   :	str			=       tmp_path_factory.mktemp("data_dir"      )

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

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

	return data_dir









"""simple docstring"""




from typing import TYPE_CHECKING

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


if is_sentencepiece_available():
		from ..ta.tokenization_ta import TaTokenizer
else:
		from ...utils.dummy_sentencepiece_objects import TaTokenizer

a		:				List[Any]  			=    TaTokenizer

if is_tokenizers_available():
		from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
		from ...utils.dummy_tokenizers_objects import TaTokenizerFast

a		:				Union[str, Any]  			=    TaTokenizerFast

a		:				Union[str, Any]  			=    {'''configuration_mt5''': ['''MT5Config''', '''MT5OnnxConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a		:				str  			=    [
		    '''MT5EncoderModel''',
		    '''MT5ForConditionalGeneration''',
		    '''MT5ForQuestionAnswering''',
		    '''MT5Model''',
		    '''MT5PreTrainedModel''',
		    '''MT5Stack''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a		:				List[str]  			=    ['''TFMT5EncoderModel''', '''TFMT5ForConditionalGeneration''', '''TFMT5Model''']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a		:				Optional[Any]  			=    ['''FlaxMT5EncoderModel''', '''FlaxMT5ForConditionalGeneration''', '''FlaxMT5Model''']


if TYPE_CHECKING:
		from .configuration_mta import MTaConfig, MTaOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mta import (
				    MTaEncoderModel,
				    MTaForConditionalGeneration,
				    MTaForQuestionAnswering,
				    MTaModel,
				    MTaPreTrainedModel,
				    MTaStack,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
		import sys

		a		:				List[Any]  			=    _LazyModule(
		    __name__,
		    globals()['''__file__'''],
		    _import_structure,
		    extra_objects={'''MT5Tokenizer''': MTaTokenizer, '''MT5TokenizerFast''': MTaTokenizerFast},
		    module_spec=__spec__,
		)


