

'''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							(					):

		"""simple docstring"""

		snake_case__    :							Union[str, Any]							    =	10
		snake_case__    :							Union[str, 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'''  ),
		    }  )
		snake_case__    :							str							    =	datasets.Dataset.from_dict(
		    {
		        '''tokens''': [['''foo'''] * 5] * n,
		        '''labels''': [[1] * 5] * n,
		        '''answers''': [{'''answer_start''': [97], '''text''': ['''1976''']}] * 10,
		        '''id''': list(range(_lowerCAmelCase  )  ),
		    } ,				features=_lowerCAmelCase ,				)
		return dataset




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   str ,				__lowerCAmelCase		:   Union[str, Any]  ):

		"""simple docstring"""

		snake_case__    :							str							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''file.arrow'''  )
		dataset.map(cache_file_name=_lowerCAmelCase  )
		return filename


# FILE_CONTENT + files


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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

		snake_case__    :							Dict							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt"
		snake_case__    :							int							    =	FILE_CONTENT
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase  )
		return filename




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any]  ):

		"""simple docstring"""

		import bza

		snake_case__    :							Dict							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt.bz2"
		snake_case__    :							List[str]							    =	bytes(_lowerCAmelCase ,				'''utf-8'''  )
		with bza.open(_lowerCAmelCase ,				'''wb'''  ) as f:
				f.write(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		import gzip

		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''file.txt.gz'''  )
		snake_case__    :							Optional[int]							    =	bytes(_lowerCAmelCase ,				'''utf-8'''  )
		with gzip.open(_lowerCAmelCase ,				'''wb'''  ) as f:
				f.write(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Any  ):

		"""simple docstring"""

		if datasets.config.LZ4_AVAILABLE:
				import lza.frame

				snake_case__    :							Union[str, Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt.lz4"
				snake_case__    :							Optional[Any]							    =	bytes(_lowerCAmelCase ,				'''utf-8'''  )
				with lza.frame.open(_lowerCAmelCase ,				'''wb'''  ) as f:
						f.write(_lowerCAmelCase  )
				return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[Any] ,				__lowerCAmelCase		:   Dict  ):

		"""simple docstring"""

		if datasets.config.PY7ZR_AVAILABLE:
				import pyazr

				snake_case__    :							Optional[Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt.7z"
				with pyazr.SevenZipFile(_lowerCAmelCase ,				'''w'''  ) as archive:
						archive.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any] ,				__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		import tarfile

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any]  ):

		"""simple docstring"""

		import lzma

		snake_case__    :							List[Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt.xz"
		snake_case__    :							List[Any]							    =	bytes(_lowerCAmelCase ,				'''utf-8'''  )
		with lzma.open(_lowerCAmelCase ,				'''wb'''  ) as f:
				f.write(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Tuple ,				__lowerCAmelCase		:   Dict  ):

		"""simple docstring"""

		import zipfile

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Tuple  ):

		"""simple docstring"""

		if datasets.config.ZSTANDARD_AVAILABLE:
				import zstandard as zstd

				snake_case__    :							str							    =	tmp_path_factory.mktemp('''data'''  ) / "file.txt.zst"
				snake_case__    :							int							    =	bytes(_lowerCAmelCase ,				'''utf-8'''  )
				with zstd.open(_lowerCAmelCase ,				'''wb'''  ) as f:
						f.write(_lowerCAmelCase  )
				return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		snake_case__    :							Tuple							    =	tmp_path_factory.mktemp('''data'''  ) / "file.xml"
		snake_case__    :							int							    =	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(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase  )
		return filename


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

lowerCAmelCase__    :							List[Any]					    =    [
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

lowerCAmelCase__    :							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							(					):

		"""simple docstring"""

		return DATA_DICT_OF_LISTS




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

		snake_case__    :							int							    =	datasets.Dataset.from_dict(_lowerCAmelCase  )
		snake_case__    :							Optional[int]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.arrow'''  )
		dataset.map(cache_file_name=_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Union[str, Any]  ):

		"""simple docstring"""

		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.sqlite'''  )
		with contextlib.closing(sqlitea.connect(_lowerCAmelCase  )  ) as con:
				snake_case__    :							Optional[Any]							    =	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							(					__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							Any							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.csv'''  )
		with open(_lowerCAmelCase ,				'''w''' ,				newline=''''''  ) as f:
				snake_case__    :							Tuple							    =	csv.DictWriter(_lowerCAmelCase ,				fieldnames=['''col_1''', '''col_2''', '''col_3''']  )
				writer.writeheader()
				for item in DATA:
						writer.writerow(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

		snake_case__    :							Optional[Any]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.csv'''  )
		with open(_lowerCAmelCase ,				'''w''' ,				newline=''''''  ) as f:
				snake_case__    :							Optional[int]							    =	csv.DictWriter(_lowerCAmelCase ,				fieldnames=['''col_1''', '''col_2''', '''col_3''']  )
				writer.writeheader()
				for item in DATA:
						writer.writerow(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Any ,				__lowerCAmelCase		:   List[str]  ):

		"""simple docstring"""

		import bza

		snake_case__    :							Dict							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.csv.bz2"
		with open(_lowerCAmelCase ,				'''rb'''  ) as f:
				snake_case__    :							List[str]							    =	f.read()
		# data = bytes(FILE_CONTENT, "utf-8")
		with bza.open(_lowerCAmelCase ,				'''wb'''  ) as f:
				f.write(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Any ,				__lowerCAmelCase		:   Dict ,				__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							List[Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.csv.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[str] ,				__lowerCAmelCase		:   Optional[int] ,				__lowerCAmelCase		:   Dict  ):

		"""simple docstring"""

		snake_case__    :							int							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.csv.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(csv_path.replace('''.csv''' ,				'''.CSV'''  )  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(csva_path.replace('''.csv''' ,				'''.CSV'''  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Optional[Any] ,				__lowerCAmelCase		:   Union[str, Any]  ):

		"""simple docstring"""

		snake_case__    :							int							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset_with_dir.csv.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.parquet'''  )
		snake_case__    :							str							    =	pa.schema(
		    {
		        '''col_1''': pa.string(),
		        '''col_2''': pa.intaa(),
		        '''col_3''': pa.floataa(),
		    }  )
		with open(_lowerCAmelCase ,				'''wb'''  ) as f:
				snake_case__    :							List[Any]							    =	pq.ParquetWriter(_lowerCAmelCase ,				schema=_lowerCAmelCase  )
				snake_case__    :							Dict							    =	pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_lowerCAmelCase  )  )] for k in DATA[0]} ,				schema=_lowerCAmelCase  )
				writer.write_table(_lowerCAmelCase  )
				writer.close()
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[str]  ):

		"""simple docstring"""

		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.json'''  )
		snake_case__    :							Optional[Any]							    =	{"data": DATA_DICT_OF_LISTS}
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				json.dump(_lowerCAmelCase ,				_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.jsonl'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in DATA:
						f.write(json.dumps(_lowerCAmelCase  ) + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.jsonl'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in DATA:
						f.write(json.dumps(_lowerCAmelCase  ) + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Dict  ):

		"""simple docstring"""

		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset_312.jsonl'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in DATA_312:
						f.write(json.dumps(_lowerCAmelCase  ) + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Union[str, Any]  ):

		"""simple docstring"""

		snake_case__    :							Dict							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset-str.jsonl'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in DATA_STR:
						f.write(json.dumps(_lowerCAmelCase  ) + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int] ,				__lowerCAmelCase		:   Union[str, Any]  ):

		"""simple docstring"""

		import gzip

		snake_case__    :							Optional[int]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.txt.gz'''  )
		with open(_lowerCAmelCase ,				'''rb'''  ) as orig_file:
				with gzip.open(_lowerCAmelCase ,				'''wb'''  ) as zipped_file:
						zipped_file.writelines(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Tuple ,				__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		import gzip

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[str] ,				__lowerCAmelCase		:   Tuple ,				__lowerCAmelCase		:   int  ):

		"""simple docstring"""

		snake_case__    :							Union[str, Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.jsonl.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Any ,				__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							int							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset_nested.jsonl.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''nested''' ,				os.path.basename(_lowerCAmelCase  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Tuple ,				__lowerCAmelCase		:   Optional[Any] ,				__lowerCAmelCase		:   List[Any]  ):

		"""simple docstring"""

		snake_case__    :							Union[str, Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset_with_dir.jsonl.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Any ,				__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		snake_case__    :							Dict							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.jsonl.tar"
		with tarfile.TarFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.add(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				f.add(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any] ,				__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							Any							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset_nested.jsonl.tar"
		with tarfile.TarFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.add(_lowerCAmelCase ,				arcname=os.path.join('''nested''' ,				os.path.basename(_lowerCAmelCase  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   int  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	["0", "1", "2", "3"]
		snake_case__    :							Dict							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.txt'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in data:
						f.write(item + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							Union[str, Any]							    =	["0", "1", "2", "3"]
		snake_case__    :							int							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.txt'''  )
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in data:
						f.write(item + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[Any]  ):

		"""simple docstring"""

		snake_case__    :							Tuple							    =	["0", "1", "2", "3"]
		snake_case__    :							List[Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.abc"
		with open(_lowerCAmelCase ,				'''w'''  ) as f:
				for item in data:
						f.write(item + '''\n'''  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any] ,				__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   str  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.text.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[str] ,				__lowerCAmelCase		:   List[str] ,				__lowerCAmelCase		:   Optional[int]  ):

		"""simple docstring"""

		snake_case__    :							Tuple							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset_with_dir.text.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.join('''main_dir''' ,				os.path.basename(_lowerCAmelCase  )  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Union[str, Any] ,				__lowerCAmelCase		:   Any ,				__lowerCAmelCase		:   Any  ):

		"""simple docstring"""

		snake_case__    :							Union[str, Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.ext.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename('''unsupported.ext'''  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename('''unsupported_2.ext'''  )  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   int  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	"\n".join(['''First''', '''Second\u2029with Unicode new line''', '''Third''']  )
		snake_case__    :							Union[str, Any]							    =	str(tmp_path_factory.mktemp('''data'''  ) / '''dataset_with_unicode_new_lines.txt'''  )
		with open(_lowerCAmelCase ,				'''w''' ,				encoding='''utf-8'''  ) as f:
				f.write(_lowerCAmelCase  )
		return path




@pytest.fixture(scope='''session'''  )
def 						_a							(					):

		"""simple docstring"""

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					):

		"""simple docstring"""

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




@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   Optional[int] ,				__lowerCAmelCase		:   List[Any]  ):

		"""simple docstring"""

		snake_case__    :							Optional[Any]							    =	tmp_path_factory.mktemp('''data'''  ) / "dataset.img.zip"
		with zipfile.ZipFile(_lowerCAmelCase ,				'''w'''  ) as f:
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  )  )
				f.write(_lowerCAmelCase ,				arcname=os.path.basename(_lowerCAmelCase  ).replace('''.jpg''' ,				'''2.jpg'''  )  )
		return path





@pytest.fixture(scope='''session'''  )
def 						_a							(					__lowerCAmelCase		:   List[Any]  ):

		"""simple docstring"""

		snake_case__    :							Optional[int]							    =	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










from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


_lowerCAmelCase				:   Optional[int]						       =						logging.get_logger(__name__)

_lowerCAmelCase				:   List[str]						       =						{
    '''google/umt5-small''': '''https://huggingface.co/google/umt5-small/resolve/main/config.json''',
    # See all umt5 models at https://huggingface.co/models?filter=umt5
}


class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     __UpperCamelCase            =  '''umt5'''
     __UpperCamelCase            =  ['''past_key_values''']



     def __init__(				self							:int      ,   snake_case							:Optional[Any]=250_112      ,   snake_case							:Optional[int]=512      ,   snake_case							:Any=64      ,   snake_case							:Union[str, Any]=1_024      ,   snake_case							:Tuple=8      ,   snake_case							:Optional[int]=None      ,   snake_case							:Union[str, Any]=6      ,   snake_case							:List[Any]=32      ,   snake_case							:Dict=128      ,   snake_case							:List[str]=0.1      ,   snake_case							:List[Any]=1e-6      ,   snake_case							:Dict=1.0      ,   snake_case							:Union[str, Any]="gated-gelu"      ,   snake_case							:Union[str, Any]=True      ,   snake_case							:Any=True      ,   snake_case							:List[str]="T5Tokenizer"      ,   snake_case							:Union[str, Any]=True      ,   snake_case							:Union[str, Any]=0      ,   snake_case							:List[Any]=1      ,   snake_case							:List[Any]=0      ,   **snake_case							:Any      ,   ):





        '''simple docstring'''




        super().__init__(
            is_encoder_decoder=snake_case      ,   tokenizer_class=snake_case      ,   tie_word_embeddings=snake_case      ,   pad_token_id=snake_case      ,   eos_token_id=snake_case      ,   decoder_start_token_id=snake_case      ,   **snake_case      ,   )
        A_       :					Union[str, Any]        =      vocab_size
        A_       :					Tuple        =      d_model
        A_       :					List[str]        =      d_kv
        A_       :					Union[str, Any]        =      d_ff
        A_       :					Any        =      num_layers
        A_       :					Optional[Any]        =      (
            num_decoder_layers if num_decoder_layers is not None else self.num_layers
        )  # default = symmetry
        A_       :					List[Any]        =      num_heads
        A_       :					List[str]        =      relative_attention_num_buckets
        A_       :					Dict        =      relative_attention_max_distance
        A_       :					Optional[Any]        =      dropout_rate
        A_       :					Any        =      layer_norm_epsilon
        A_       :					List[Any]        =      initializer_factor
        A_       :					Any        =      feed_forward_proj
        A_       :					Optional[Any]        =      use_cache

        A_       :					int        =      self.feed_forward_proj.split("-"	)
        A_       :					Any        =      act_info[-1]
        A_       :					Tuple        =      act_info[0] == "gated"

        if len(snake_case	) > 1 and act_info[0] != "gated" or len(snake_case	) > 2:
           raise ValueError(
               f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
               "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
               "'gated-gelu' or 'relu'"	)

        if feed_forward_proj == "gated-gelu":
           A_       :					Optional[Any]        =      "gelu_new"



     @property
     def     SCREAMING_SNAKE_CASE		(				self							:str	):





        '''simple docstring'''




        return self.d_model



     @property
     def     SCREAMING_SNAKE_CASE		(				self							:str	):





        '''simple docstring'''




        return self.num_heads





     @property
     def     SCREAMING_SNAKE_CASE		(				self							:Tuple	):





        '''simple docstring'''




        return self.num_layers




class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
     def     SCREAMING_SNAKE_CASE		(				self							:Union[str, Any]	):





        '''simple docstring'''




        A_       :					List[Any]        =      {
            "input_ids": {0: "batch", 1: "encoder_sequence"},
            "attention_mask": {0: "batch", 1: "encoder_sequence"},
        }
        if self.use_past:
           A_       :					Any        =      "past_encoder_sequence + sequence"
           A_       :					Union[str, Any]        =      {0: "batch"}
           A_       :					Optional[int]        =      {0: "batch", 1: "past_decoder_sequence + sequence"}
        else:
           A_       :					Dict        =      {0: "batch", 1: "decoder_sequence"}
           A_       :					str        =      {0: "batch", 1: "decoder_sequence"}

        if self.use_past:
           self.fill_with_past_key_values_(snake_case      ,   direction="inputs"	)

        return common_inputs



     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
     def     SCREAMING_SNAKE_CASE		(				self							:Optional[int]	):





        '''simple docstring'''




        return 13





     @property
     def     SCREAMING_SNAKE_CASE		(				self							:List[str]	):





        '''simple docstring'''




        return 5e-4
