



"""simple docstring"""





import itertools
import os
import random
import tempfile
import unittest

import numpy as np
from datasets import load_dataset

from transformers import is_speech_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from transformers.utils.import_utils import is_torch_available

from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin


if is_speech_available():
					from transformers import WhisperFeatureExtractor

if is_torch_available():
					import torch

__lowerCAmelCase       :					Any      					=					random.Random()
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Union[str, Any]=1.0					, __UpperCamelCase      :			str=None					, __UpperCamelCase      :			Tuple=None    ):


						'''simple docstring'''






						if rng is None:
												snake_case_   : Union[str, Any]						=			global_rng

						snake_case_   : str						=			[]
						for batch_idx in range(shape[0]    ):
												values.append([]    )
												for _ in range(shape[1]    ):
																		values[-1].append(rng.random() * scale    )

						return values



@require_torch
@require_torchaudio
class    _lowerCAmelCase    (				unittest.TestCase		):





		"""simple docstring"""






		def __init__(					self							,    _lowercase							,    _lowercase=7							,    _lowercase=4_0_0							,    _lowercase=2_0_0_0							,    _lowercase=1_0							,    _lowercase=1_6_0							,    _lowercase=8							,    _lowercase=0.0							,    _lowercase=4_0_0_0							,    _lowercase=False							,    _lowercase=True							,    ) ->						Optional[Any]:







								'''simple docstring'''

								snake_case_   : Tuple						=			parent
								snake_case_   : Optional[Any]						=			batch_size
								snake_case_   : Optional[int]						=			min_seq_length
								snake_case_   : Optional[Any]						=			max_seq_length
								snake_case_   : int						=			(self.max_seq_length - self.min_seq_length) // (self.batch_size - 1)
								snake_case_   : str						=			padding_value
								snake_case_   : Tuple						=			sampling_rate
								snake_case_   : List[str]						=			return_attention_mask
								snake_case_   : Optional[Any]						=			do_normalize
								snake_case_   : List[Any]						=			feature_size
								snake_case_   : List[Any]						=			chunk_length
								snake_case_   : int						=			hop_length





		def    UpperCAmelCase__							(					self   ) ->						Tuple:







								'''simple docstring'''

								return {
								    "feature_size": self.feature_size,
								    "hop_length": self.hop_length,
								    "chunk_length": self.chunk_length,
								    "padding_value": self.padding_value,
								    "sampling_rate": self.sampling_rate,
								    "return_attention_mask": self.return_attention_mask,
								    "do_normalize": self.do_normalize,
								}





		def    UpperCAmelCase__							(					self							,    _lowercase=False							,    _lowercase=False   ) ->						List[str]:







								'''simple docstring'''

								def _flatten(_lowercase   ):
														return list(itertools.chain(*_lowercase   )   )

								if equal_length:
														snake_case_   : List[str]						=			[floats_list((self.max_seq_length, self.feature_size)   ) for _ in range(self.batch_size   )]
								else:
														# make sure that inputs increase in size
														snake_case_   : Dict						=			[
														    floats_list((x, self.feature_size)   )
														    for x in range(self.min_seq_length							,    self.max_seq_length							,    self.seq_length_diff   )
														]
								if numpify:
														snake_case_   : List[Any]						=			[np.asarray(_lowercase   ) for x in speech_inputs]
								return speech_inputs




@require_torch
@require_torchaudio
class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__  ,				unittest.TestCase		):





		"""simple docstring"""






		_lowerCamelCase			  =       WhisperFeatureExtractor if is_speech_available() else None





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								snake_case_   : Any						=			WhisperFeatureExtractionTester(self   )





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







								'''simple docstring'''

								snake_case_   : List[str]						=			self.feature_extraction_class(**self.feat_extract_dict   )

								with tempfile.TemporaryDirectory() as tmpdirname:
														snake_case_   : Any						=			feat_extract_first.save_pretrained(_lowercase   )[0]
														check_json_file_has_correct_format(_lowercase   )
														snake_case_   : Dict						=			self.feature_extraction_class.from_pretrained(_lowercase   )

								snake_case_   : List[Any]						=			feat_extract_first.to_dict()
								snake_case_   : Tuple						=			feat_extract_second.to_dict()
								snake_case_   : Tuple						=			feat_extract_first.mel_filters
								snake_case_   : Dict						=			feat_extract_second.mel_filters
								self.assertTrue(np.allclose(_lowercase							,    _lowercase   )   )
								self.assertEqual(_lowercase							,    _lowercase   )





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







								'''simple docstring'''

								snake_case_   : Dict						=			self.feature_extraction_class(**self.feat_extract_dict   )

								with tempfile.TemporaryDirectory() as tmpdirname:
														snake_case_   : List[str]						=			os.path.join(_lowercase							,    """feat_extract.json"""   )
														feat_extract_first.to_json_file(_lowercase   )
														snake_case_   : Tuple						=			self.feature_extraction_class.from_json_file(_lowercase   )

								snake_case_   : Dict						=			feat_extract_first.to_dict()
								snake_case_   : str						=			feat_extract_second.to_dict()
								snake_case_   : Any						=			feat_extract_first.mel_filters
								snake_case_   : Tuple						=			feat_extract_second.mel_filters
								self.assertTrue(np.allclose(_lowercase							,    _lowercase   )   )
								self.assertEqual(_lowercase							,    _lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								snake_case_   : List[Any]						=			self.feature_extraction_class(**self.feat_extract_tester.prepare_feat_extract_dict()   )
								# create three inputs of length 800, 1000, and 1200
								snake_case_   : Optional[Any]						=			[floats_list((1, x)   )[0] for x in range(8_0_0							,    1_4_0_0							,    2_0_0   )]
								snake_case_   : Union[str, Any]						=			[np.asarray(_lowercase   ) for speech_input in speech_inputs]

								# Test feature size
								snake_case_   : List[str]						=			feature_extractor(_lowercase							,    padding="""max_length"""							,    return_tensors="""np"""   ).input_features
								self.assertTrue(input_features.ndim == 3   )
								self.assertTrue(input_features.shape[-1] == feature_extractor.nb_max_frames   )
								self.assertTrue(input_features.shape[-2] == feature_extractor.feature_size   )

								# Test not batched input
								snake_case_   : List[str]						=			feature_extractor(speech_inputs[0]							,    return_tensors="""np"""   ).input_features
								snake_case_   : List[str]						=			feature_extractor(np_speech_inputs[0]							,    return_tensors="""np"""   ).input_features
								self.assertTrue(np.allclose(_lowercase							,    _lowercase							,    atol=1E-3   )   )

								# Test batched
								snake_case_   : int						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								snake_case_   : Optional[int]						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								for enc_seq_a, enc_seq_a in zip(_lowercase							,    _lowercase   ):
														self.assertTrue(np.allclose(_lowercase							,    _lowercase							,    atol=1E-3   )   )

								# Test 2-D numpy arrays are batched.
								snake_case_   : List[str]						=			[floats_list((1, x)   )[0] for x in (8_0_0, 8_0_0, 8_0_0)]
								snake_case_   : Tuple						=			np.asarray(_lowercase   )
								snake_case_   : Dict						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								snake_case_   : str						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								for enc_seq_a, enc_seq_a in zip(_lowercase							,    _lowercase   ):
														self.assertTrue(np.allclose(_lowercase							,    _lowercase							,    atol=1E-3   )   )

								# Test truncation required
								snake_case_   : List[Any]						=			[floats_list((1, x)   )[0] for x in range(2_0_0							,    (feature_extractor.n_samples + 5_0_0)							,    2_0_0   )]
								snake_case_   : str						=			[np.asarray(_lowercase   ) for speech_input in speech_inputs]

								snake_case_   : List[Any]						=			[x[: feature_extractor.n_samples] for x in speech_inputs]
								snake_case_   : List[Any]						=			[np.asarray(_lowercase   ) for speech_input in speech_inputs_truncated]

								snake_case_   : Optional[Any]						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								snake_case_   : str						=			feature_extractor(_lowercase							,    return_tensors="""np"""   ).input_features
								for enc_seq_a, enc_seq_a in zip(_lowercase							,    _lowercase   ):
														self.assertTrue(np.allclose(_lowercase							,    _lowercase							,    atol=1E-3   )   )





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







								'''simple docstring'''

								import torch

								snake_case_   : List[str]						=			self.feature_extraction_class(**self.feat_extract_tester.prepare_feat_extract_dict()   )
								snake_case_   : Tuple						=			np.random.rand(1_0_0							,    3_2   ).astype(np.floataa   )
								snake_case_   : Optional[int]						=			np_speech_inputs.tolist()

								for inputs in [py_speech_inputs, np_speech_inputs]:
														snake_case_   : Dict						=			feature_extractor.pad([{"""input_features""": inputs}]							,    return_tensors="""np"""   )
														self.assertTrue(np_processed.input_features.dtype == np.floataa   )
														snake_case_   : Any						=			feature_extractor.pad([{"""input_features""": inputs}]							,    return_tensors="""pt"""   )
														self.assertTrue(pt_processed.input_features.dtype == torch.floataa   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Dict:







								'''simple docstring'''

								snake_case_   : str						=			load_dataset("""hf-internal-testing/librispeech_asr_dummy"""							,    """clean"""							,    split="""validation"""   )
								# automatic decoding with librispeech
								snake_case_   : Optional[int]						=			ds.sort("""id"""   ).select(range(_lowercase   )   )[:num_samples]["""audio"""]

								return [x["array"] for x in speech_samples]





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







								'''simple docstring'''

								snake_case_   : List[str]						=			torch.tensor(
								    [
								        0.1193, -0.0946, -0.1098, -0.0196, 0.0225, -0.0690, -0.1736, 0.0951,
								        0.0971, -0.0817, -0.0702, 0.0162, 0.0260, 0.0017, -0.0192, -0.1678,
								        0.0709, -0.1867, -0.0655, -0.0274, -0.0234, -0.1884, -0.0516, -0.0554,
								        -0.0274, -0.1425, -0.1423, 0.0837, 0.0377, -0.0854
								    ]   )
								# fmt: on

								snake_case_   : Tuple						=			self._load_datasamples(1   )
								snake_case_   : Dict						=			WhisperFeatureExtractor()
								snake_case_   : List[str]						=			feature_extractor(_lowercase							,    return_tensors="""pt"""   ).input_features
								self.assertEqual(input_features.shape							,    (1, 8_0, 3_0_0_0)   )
								self.assertTrue(torch.allclose(input_features[0, 0, :3_0]							,    _lowercase							,    atol=1E-4   )   )





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







								'''simple docstring'''

								snake_case_   : List[str]						=			self.feature_extraction_class(**self.feat_extract_tester.prepare_feat_extract_dict()   )
								snake_case_   : Dict						=			self._load_datasamples(1   )[0]
								snake_case_   : Dict						=			((audio - audio.min()) / (audio.max() - audio.min())) * 6_5_5_3_5  # Rescale to [0, 65535] to show issue
								snake_case_   : int						=			feat_extract.zero_mean_unit_var_norm([audio]							,    attention_mask=_lowercase   )[0]

								self.assertTrue(np.all(np.mean(_lowercase   ) < 1E-3   )   )
								self.assertTrue(np.all(np.abs(np.var(_lowercase   ) - 1   ) < 1E-3   )   )






"""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

