



"""simple docstring"""





import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil



class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		def    UpperCAmelCase__							(					self   ) ->						int:







								'''simple docstring'''

								snake_case_   : List[str]						=			pa.array(TypedSequence([1, 2, 3]   )   )
								self.assertEqual(arr.type							,    pa.intaa()   )





		def    UpperCAmelCase__							(					self   ) ->						Optional[Any]:







								'''simple docstring'''

								with self.assertRaises(_lowercase   ):
														snake_case_   : Dict						=			pa.array(TypedSequence([1, 2, 3]   )							,    type=pa.intaa()   )





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								with self.assertRaises(_lowercase   ):
														snake_case_   : str						=			pa.array(TypedSequence([1, 2, 3]							,    try_type=Value("""bool"""   )							,    type=Value("""int64"""   )   )   )





		def    UpperCAmelCase__							(					self   ) ->						Optional[Any]:







								'''simple docstring'''

								snake_case_   : Dict						=			pa.array(TypedSequence([1, 2, 3]							,    type=Value("""int32"""   )   )   )
								self.assertEqual(arr.type							,    pa.intaa()   )





		def    UpperCAmelCase__							(					self   ) ->						Dict:







								'''simple docstring'''

								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)   ):
														snake_case_   : Tuple						=			pa.array(TypedSequence(["""foo""", """bar"""]							,    type=Value("""int64"""   )   )   )





		def    UpperCAmelCase__							(					self   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : Tuple						=			pa.array(TypedSequence([1, 2, 3]							,    try_type=Value("""int32"""   )   )   )
								self.assertEqual(arr.type							,    pa.intaa()   )





		def    UpperCAmelCase__							(					self   ) ->						Dict:







								'''simple docstring'''

								snake_case_   : Optional[int]						=			pa.array(TypedSequence(["""foo""", """bar"""]							,    try_type=Value("""int64"""   )   )   )
								self.assertEqual(arr.type							,    pa.string()   )





		def    UpperCAmelCase__							(					self   ) ->						int:







								'''simple docstring'''

								snake_case_   : List[Any]						=			pa.array(TypedSequence([[[1, 2, 3]]]							,    type=ArrayaD((1, 3)							,    """int64"""   )   )   )
								self.assertEqual(arr.type							,    ArrayaDExtensionType((1, 3)							,    """int64"""   )   )





		def    UpperCAmelCase__							(					self   ) ->						List[Any]:







								'''simple docstring'''

								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)   ):
														snake_case_   : List[str]						=			pa.array(TypedSequence(["""foo""", """bar"""]							,    type=ArrayaD((1, 3)							,    """int64"""   )   )   )





		def    UpperCAmelCase__							(					self   ) ->						Union[str, Any]:







								'''simple docstring'''

								snake_case_   : List[Any]						=			pa.array(TypedSequence([[[1, 2, 3]]]							,    try_type=ArrayaD((1, 3)							,    """int64"""   )   )   )
								self.assertEqual(arr.type							,    ArrayaDExtensionType((1, 3)							,    """int64"""   )   )





		def    UpperCAmelCase__							(					self   ) ->						Optional[Any]:







								'''simple docstring'''

								snake_case_   : str						=			pa.array(TypedSequence(["""foo""", """bar"""]							,    try_type=ArrayaD((1, 3)							,    """int64"""   )   )   )
								self.assertEqual(arr.type							,    pa.string()   )





		@require_pil
		def    UpperCAmelCase__							(					self   ) ->						List[str]:







								'''simple docstring'''

								import PIL.Image

								snake_case_   : int						=			PIL.Image.fromarray(np.arange(1_0							,    dtype=np.uinta   ).reshape(2							,    5   )   )
								with patch(
								    """datasets.arrow_writer.cast_to_python_objects"""							,    side_effect=_lowercase   ) as mock_cast_to_python_objects:
														snake_case_   : Any						=			pa.array(TypedSequence([{"""path""": None, """bytes""": b"""image_bytes"""}, pil_image]							,    type=Image()   )   )
														snake_case_			,		snake_case_   : List[Any]						=			mock_cast_to_python_objects.call_args_list[-1]
														self.assertIn("""optimize_list_casting"""							,    _lowercase   )
														self.assertFalse(kwargs["""optimize_list_casting"""]   )




def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			pa.BufferReader(__UpperCamelCase    ) if isinstance(__UpperCamelCase					, pa.Buffer    ) else pa.memory_map(__UpperCamelCase    )
						snake_case_   : Optional[Any]						=			pa.ipc.open_stream(__UpperCamelCase    )
						snake_case_   : pa.Table						=			f.read_all()
						assert len(pa_table.to_batches()    ) == expected_num_chunks
						assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
						del pa_table
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 1, 1_0]    )
@pytest.mark.parametrize(
    """fields"""					, [None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[int]						=			pa.BufferOutputStream()
						snake_case_   : List[Any]						=			pa.schema(__UpperCamelCase    ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase					, schema=__UpperCamelCase					, writer_batch_size=__UpperCamelCase    ) as writer:
												writer.write({"""col_1""": """foo""", """col_2""": 1}    )
												writer.write({"""col_1""": """bar""", """col_2""": 2}    )
												snake_case_			,		snake_case_   : Optional[Any]						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												snake_case_   : Tuple						=			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase					, metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					, expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			pa.BufferOutputStream()
						snake_case_   : Optional[Any]						=			Features({"""labels""": ClassLabel(names=["""neg""", """pos"""]    )}    )
						with ArrowWriter(stream=__UpperCamelCase					, features=__UpperCamelCase    ) as writer:
												writer.write({"""labels""": 0}    )
												writer.write({"""labels""": 1}    )
												snake_case_			,		snake_case_   : int						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == features.arrow_schema
						assert writer._schema.metadata == features.arrow_schema.metadata
						snake_case_   : int						=			pa.BufferReader(output.getvalue()    )
						snake_case_   : Optional[int]						=			pa.ipc.open_stream(__UpperCamelCase    )
						snake_case_   : pa.Table						=			f.read_all()
						snake_case_   : Optional[int]						=			pa_table.schema
						assert pa_table.num_rows == 2
						assert schema == features.arrow_schema
						assert schema.metadata == features.arrow_schema.metadata
						assert features == Features.from_arrow_schema(__UpperCamelCase    )
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 1, 1_0]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : int						=			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase					, writer_batch_size=__UpperCamelCase					, hash_salt="""split_name"""					, check_duplicates=__UpperCamelCase					, ) as writer:
												with pytest.raises(__UpperCamelCase    ):
																		writer.write({"""col_1""": """foo""", """col_2""": 1}					, key=[1, 2]    )
																		snake_case_			,		snake_case_   : List[Any]						=			writer.finalize()
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 2, 1_0]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase					, writer_batch_size=__UpperCamelCase					, hash_salt="""split_name"""					, check_duplicates=__UpperCamelCase					, ) as writer:
												with pytest.raises(__UpperCamelCase    ):
																		writer.write({"""col_1""": """foo""", """col_2""": 1}					, key=1_0    )
																		writer.write({"""col_1""": """bar""", """col_2""": 2}					, key=1_0    )
																		snake_case_			,		snake_case_   : Dict						=			writer.finalize()
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 2, 1_0]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase					, writer_batch_size=__UpperCamelCase					, hash_salt="""split_name"""					, check_duplicates=__UpperCamelCase					, ) as writer:
												writer.write({"""col_1""": """foo""", """col_2""": 1}					, key=1    )
												writer.write({"""col_1""": """bar""", """col_2""": 2}					, key=2    )
												snake_case_			,		snake_case_   : List[Any]						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						_check_output(output.getvalue()					, expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 1, 1_0]    )
@pytest.mark.parametrize(
    """fields"""					, [None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			pa.BufferOutputStream()
						snake_case_   : int						=			pa.schema(__UpperCamelCase    ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase					, schema=__UpperCamelCase					, writer_batch_size=__UpperCamelCase    ) as writer:
												writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}    )
												writer.write_batch({"""col_1""": [], """col_2""": []}    )
												snake_case_			,		snake_case_   : List[Any]						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												snake_case_   : Tuple						=			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase					, metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					, expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 1, 1_0]    )
@pytest.mark.parametrize(
    """fields"""					, [None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			pa.BufferOutputStream()
						snake_case_   : str						=			pa.schema(__UpperCamelCase    ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase					, schema=__UpperCamelCase					, writer_batch_size=__UpperCamelCase    ) as writer:
												writer.write_table(pa.Table.from_pydict({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}    )    )
												snake_case_			,		snake_case_   : Dict						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												snake_case_   : List[str]						=			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase					, metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					, expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )
@pytest.mark.parametrize("""writer_batch_size"""					, [None, 1, 1_0]    )
@pytest.mark.parametrize(
    """fields"""					, [None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : str						=			pa.BufferOutputStream()
						snake_case_   : Optional[int]						=			pa.schema(__UpperCamelCase    ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase					, schema=__UpperCamelCase					, writer_batch_size=__UpperCamelCase    ) as writer:
												writer.write_row(pa.Table.from_pydict({"""col_1""": ["""foo"""], """col_2""": [1]}    )    )
												writer.write_row(pa.Table.from_pydict({"""col_1""": ["""bar"""], """col_2""": [2]}    )    )
												snake_case_			,		snake_case_   : Optional[Any]						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												snake_case_   : List[Any]						=			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase					, metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					, expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						with tempfile.TemporaryDirectory() as tmp_dir:
												snake_case_   : str						=			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
												snake_case_   : Any						=			os.path.join(__UpperCamelCase					, """test.arrow"""    )
												with ArrowWriter(path=__UpperCamelCase					, schema=pa.schema(__UpperCamelCase    )    ) as writer:
																		writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}    )
																		snake_case_			,		snake_case_   : Dict						=			writer.finalize()
												assert num_examples == 2
												assert num_bytes > 0
												assert writer._schema == pa.schema(__UpperCamelCase					, metadata=writer._schema.metadata    )
												_check_output(__UpperCamelCase					, 1    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						if pa.types.is_list(__UpperCamelCase    ):
												return get_base_dtype(arr_type.value_type    )
						else:
												return arr_type
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						if isinstance(lst[0]					, __UpperCamelCase    ):
												change_first_primitive_element_in_list(lst[0]					, __UpperCamelCase    )
						else:
												snake_case_   : Tuple						=			value
@pytest.mark.parametrize("""optimized_int_type, expected_dtype"""					, [(None, pa.intaa()), (Value("""int32"""    ), pa.intaa())]    )
@pytest.mark.parametrize("""sequence"""					, [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any					, __UpperCamelCase      :			List[str]					, __UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						snake_case_   : str						=			pa.array(TypedSequence(__UpperCamelCase					, optimized_int_type=__UpperCamelCase    )    )
						assert get_base_dtype(arr.type    ) == expected_dtype
@pytest.mark.parametrize(
    """col, expected_dtype"""					, [
        ("""attention_mask""", pa.inta()),
        ("""special_tokens_mask""", pa.inta()),
        ("""token_type_ids""", pa.inta()),
        ("""input_ids""", pa.intaa()),
        ("""other""", pa.intaa()),
    ]					, )
@pytest.mark.parametrize("""sequence"""					, [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			str					, __UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			pa.array(OptimizedTypedSequence(__UpperCamelCase					, col=__UpperCamelCase    )    )
						assert get_base_dtype(arr.type    ) == expected_dtype

						# not in range
						if col != "other":
												# avoids errors due to in-place modifications
												snake_case_   : Any						=			copy.deepcopy(__UpperCamelCase    )
												snake_case_   : List[str]						=			np.iinfo(expected_dtype.to_pandas_dtype()    ).max + 1
												change_first_primitive_element_in_list(__UpperCamelCase					, __UpperCamelCase    )
												snake_case_   : str						=			pa.array(OptimizedTypedSequence(__UpperCamelCase					, col=__UpperCamelCase    )    )
												assert get_base_dtype(arr.type    ) == pa.intaa()
@pytest.mark.parametrize("""raise_exception"""					, [False, True]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			str(tmp_path / """dataset-train.arrow"""    )
						try:
												with ArrowWriter(path=__UpperCamelCase    ) as writer:
																		if raise_exception:
																								raise pa.lib.ArrowInvalid()
																		else:
																								writer.stream.close()
						except pa.lib.ArrowInvalid:
												pass
						finally:
												assert writer.stream.closed
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			"""mock://dataset-train.arrow"""
						with ArrowWriter(path=__UpperCamelCase					, storage_options=mockfs.storage_options    ) as writer:
												assert isinstance(writer._fs					, type(__UpperCamelCase    )    )
												assert writer._fs.storage_options == mockfs.storage_options
												writer.write({"""col_1""": """foo""", """col_2""": 1}    )
												writer.write({"""col_1""": """bar""", """col_2""": 2}    )
												snake_case_			,		snake_case_   : int						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert mockfs.exists(__UpperCamelCase    )
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			pa.BufferOutputStream()
						with ParquetWriter(stream=__UpperCamelCase    ) as writer:
												writer.write({"""col_1""": """foo""", """col_2""": 1}    )
												writer.write({"""col_1""": """bar""", """col_2""": 2}    )
												snake_case_			,		snake_case_   : str						=			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						snake_case_   : Optional[int]						=			pa.BufferReader(output.getvalue()    )
						snake_case_   : pa.Table						=			pq.read_table(__UpperCamelCase    )
						assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
@require_pil
@pytest.mark.parametrize("""embed_local_files"""					, [False, True]    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						import PIL.Image

						snake_case_   : int						=			str(tmp_path / """test_image_rgb.jpg"""    )
						PIL.Image.fromarray(np.zeros((5, 5)					, dtype=np.uinta    )    ).save(__UpperCamelCase					, format="""png"""    )
						snake_case_   : List[str]						=			pa.BufferOutputStream()
						with ParquetWriter(
						    stream=__UpperCamelCase					, features=Features({"""image""": Image()}    )					, embed_local_files=__UpperCamelCase    ) as writer:
												writer.write({"""image""": image_path}    )
												writer.finalize()
						snake_case_   : Tuple						=			pa.BufferReader(output.getvalue()    )
						snake_case_   : pa.Table						=			pq.read_table(__UpperCamelCase    )
						snake_case_   : List[Any]						=			pa_table.to_pydict()
						if embed_local_files:
												assert isinstance(out["""image"""][0]["""path"""]					, __UpperCamelCase    )
												with open(__UpperCamelCase					, """rb"""    ) as f:
																		assert out["image"][0]["bytes"] == f.read()
						else:
												assert out["image"][0]["path"] == image_path
												assert out["image"][0]["bytes"] is None






def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : Tuple						=			pa.schema([pa.field("""col_1"""					, pa.string()					, nullable=__UpperCamelCase    )]    )
						snake_case_   : Optional[Any]						=			pa.BufferOutputStream()
						with ArrowWriter(stream=__UpperCamelCase    ) as writer:
												writer._build_writer(inferred_schema=__UpperCamelCase    )
												assert writer._schema == pa.schema([pa.field("""col_1"""					, pa.string()    )]    )






"""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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : int						=			1_0
						snake_case_   : 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_   : Tuple						=			datasets.Dataset.from_dict(
						    {
						        """tokens""": [["""foo"""] * 5] * n,
						        """labels""": [[1] * 5] * n,
						        """answers""": [{"""answer_start""": [9_7], """text""": ["""1976"""]}] * 1_0,
						        """id""": list(range(__UpperCamelCase    )    ),
						    }					, features=__UpperCamelCase					, )
						return dataset
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






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


# FILE_CONTENT + files


__lowerCAmelCase       :					List[Any]      					=					'''\
    Text data.
    Second line of data.'''
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt"""
						snake_case_   : Optional[Any]						=			FILE_CONTENT
						with open(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						import bza

						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.bz2"""
						snake_case_   : Any						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with bza.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """file.txt.gz"""    )
						snake_case_   : List[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with gzip.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						if datasets.config.LZ4_AVAILABLE:
												import lza.frame

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.lz4"""
												snake_case_   : Optional[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with lza.frame.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						if datasets.config.PY7ZR_AVAILABLE:
												import pyazr

												snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						import tarfile

						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						import lzma

						snake_case_   : str						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.xz"""
						snake_case_   : str						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with lzma.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						import zipfile

						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						if datasets.config.ZSTANDARD_AVAILABLE:
												import zstandard as zstd

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.zst"""
												snake_case_   : Tuple						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with zstd.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.xml"""
						snake_case_   : List[str]						=			textwrap.dedent(
						    """\
    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>
    <tmx version=\"1.4\">
      <header segtype=\"sentence\" srclang=\"ca\" />
      <body>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>
        </tu>
      </body>
    </tmx>"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename


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

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

__lowerCAmelCase       :					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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						return DATA_DICT_OF_LISTS
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[int]						=			datasets.Dataset.from_dict(__UpperCamelCase    )
						snake_case_   : List[str]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.arrow"""    )
						dataset.map(cache_file_name=__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : str						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.sqlite"""    )
						with contextlib.closing(sqlitea.connect(__UpperCamelCase    )    ) as con:
												snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






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


						'''simple docstring'''






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


						'''simple docstring'''






						import bza

						snake_case_   : Tuple						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.csv.bz2"""
						with open(__UpperCamelCase					, """rb"""    ) as f:
												snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			int					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			int    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : Any						=			{"""data""": DATA}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : List[Any]						=			{"""data""": DATA_DICT_OF_LISTS}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Any					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : str						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : int						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






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


						'''simple docstring'''






						return os.path.join("""tests"""					, """features"""					, """data"""					, """test_image_rgb.jpg"""    )
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						return os.path.join("""tests"""					, """features"""					, """data"""					, """test_audio_44100.wav"""    )
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : 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 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						snake_case_   : 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""" * 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

