


'''simple docstring'''






import unittest

import numpy as np

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available

from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs


if is_torch_available():
		import torch

if is_vision_available():
		from PIL import Image

		from transformers import ViTImageProcessor




class 	a__       (							unittest.TestCase						):





							'''simple docstring'''






							def __init__(	self      ,					lowerCamelCase_      ,					lowerCamelCase_=13      ,					lowerCamelCase_=3      ,					lowerCamelCase_=2_24      ,					lowerCamelCase_=30      ,					lowerCamelCase_=4_00      ,					lowerCamelCase_=True      ,					lowerCamelCase_=None      ,					lowerCamelCase_=True      ,					lowerCamelCase_=[0.5, 0.5, 0.5]      ,					lowerCamelCase_=[0.5, 0.5, 0.5]      ,					) ->							Any:
														lowerCAmelCase__      =			size if size is not None else {'''height''': 18, '''width''': 18}
														lowerCAmelCase__      =			parent
														lowerCAmelCase__      =			batch_size
														lowerCAmelCase__      =			num_channels
														lowerCAmelCase__      =			image_size
														lowerCAmelCase__      =			min_resolution
														lowerCAmelCase__      =			max_resolution
														lowerCAmelCase__      =			do_resize
														lowerCAmelCase__      =			size
														lowerCAmelCase__      =			do_normalize
														lowerCAmelCase__      =			image_mean
														lowerCAmelCase__      =			image_std







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union[str, Any]:
														return {
														    "image_mean": self.image_mean,
														    "image_std": self.image_std,
														    "do_normalize": self.do_normalize,
														    "do_resize": self.do_resize,
														    "size": self.size,
														}




@require_torch
@require_vision
class 	a__       (							a__       ,       unittest.TestCase						):





							'''simple docstring'''






							lowercase__    :     Union[str, Any]					=   ViTImageProcessor if is_vision_available() else None







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														lowerCAmelCase__      =			EfficientFormerImageProcessorTester(self     )







							@property
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							List[Any]:
														return self.image_proc_tester.prepare_image_processor_dict()







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							List[str]:
														lowerCAmelCase__      =			self.image_processing_class(**self.image_processor_dict     )
														self.assertTrue(hasattr(lowerCamelCase_      ,					'''image_mean'''     )     )
														self.assertTrue(hasattr(lowerCamelCase_      ,					'''image_std'''     )     )
														self.assertTrue(hasattr(lowerCamelCase_      ,					'''do_normalize'''     )     )
														self.assertTrue(hasattr(lowerCamelCase_      ,					'''do_resize'''     )     )
														self.assertTrue(hasattr(lowerCamelCase_      ,					'''size'''     )     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Tuple:
														pass







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[int]:
														# Initialize image_processor
														lowerCAmelCase__      =			self.image_processing_class(**self.image_processor_dict     )
														# create random PIL images
														lowerCAmelCase__      =			prepare_image_inputs(self.image_proc_tester      ,					equal_resolution=lowerCamelCase_     )
														for image in image_inputs:
																					self.assertIsInstance(lowerCamelCase_      ,					Image.Image     )

														# Test not batched input
														lowerCAmelCase__      =			image_processor(image_inputs[0]      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        1,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)

														# Test batched
														lowerCAmelCase__      =			image_processor(lowerCamelCase_      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        self.image_proc_tester.batch_size,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[Any]:
														# Initialize image_processor
														lowerCAmelCase__      =			self.image_processing_class(**self.image_processor_dict     )
														# create random numpy tensors
														lowerCAmelCase__      =			prepare_image_inputs(self.image_proc_tester      ,					equal_resolution=lowerCamelCase_      ,					numpify=lowerCamelCase_     )
														for image in image_inputs:
																					self.assertIsInstance(lowerCamelCase_      ,					np.ndarray     )

														# Test not batched input
														lowerCAmelCase__      =			image_processor(image_inputs[0]      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        1,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)

														# Test batched
														lowerCAmelCase__      =			image_processor(lowerCamelCase_      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        self.image_proc_tester.batch_size,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							int:
														# Initialize image_processor
														lowerCAmelCase__      =			self.image_processing_class(**self.image_processor_dict     )
														# create random PyTorch tensors
														lowerCAmelCase__      =			prepare_image_inputs(self.image_proc_tester      ,					equal_resolution=lowerCamelCase_      ,					torchify=lowerCamelCase_     )
														for image in image_inputs:
																					self.assertIsInstance(lowerCamelCase_      ,					torch.Tensor     )

														# Test not batched input
														lowerCAmelCase__      =			image_processor(image_inputs[0]      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        1,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)

														# Test batched
														lowerCAmelCase__      =			image_processor(lowerCamelCase_      ,					return_tensors='''pt'''     ).pixel_values
														self.assertEqual(
														    encoded_images.shape      ,					(
														        self.image_proc_tester.batch_size,
														        self.image_proc_tester.num_channels,
														        self.image_proc_tester.size['''height'''],
														        self.image_proc_tester.size['''width'''],
														    )      ,					)



'''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       _snake_case     (  )		->					Any:
							lowerCAmelCase__      =			10
							lowerCAmelCase__      =			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''' ),
							    } )
							lowerCAmelCase__      =			datasets.Dataset.from_dict(
							    {
							        '''tokens''': [['''foo'''] * 5] * n,
							        '''labels''': [[1] * 5] * n,
							        '''answers''': [{'''answer_start''': [97], '''text''': ['''1976''']}] * 10,
							        '''id''': list(range(A ) ),
							    }				,					features=A				,					)
							return dataset


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					List[Any]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''file.arrow''' )
							dataset.map(cache_file_name=A )
							return filename


# FILE_CONTENT + files


__UpperCAmelCase					       =							'''\
    Text data.
    Second line of data.'''


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Optional[int]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''file.txt'''
							lowerCAmelCase__      =			FILE_CONTENT
							with open(A				,					'''w''' ) as f:
														f.write(A )
							return filename


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Union[str, Any]:
							import bza

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Tuple:
							import gzip

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					List[str]:
							if datasets.config.LZ4_AVAILABLE:
														import lza.frame

														lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''file.txt.lz4'''
														lowerCAmelCase__      =			bytes(A				,					'''utf-8''' )
														with lza.frame.open(A				,					'''wb''' ) as f:
																					f.write(A )
														return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					int:
							if datasets.config.PY7ZR_AVAILABLE:
														import pyazr

														lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''file.txt.7z'''
														with pyazr.SevenZipFile(A				,					'''w''' ) as archive:
																					archive.write(A				,					arcname=os.path.basename(A ) )
														return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					str:
							import tarfile

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Optional[int]:
							import lzma

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					List[str]:
							import zipfile

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Any:
							if datasets.config.ZSTANDARD_AVAILABLE:
														import zstandard as zstd

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Any:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''file.xml'''
							lowerCAmelCase__      =			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(A				,					'''w''' ) as f:
														f.write(A )
							return filename


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

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

__UpperCAmelCase					       =							[
    {'''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       _snake_case     (  )		->					Union[str, Any]:
							return DATA_DICT_OF_LISTS


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Optional[Any]:
							lowerCAmelCase__      =			datasets.Dataset.from_dict(A )
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.arrow''' )
							dataset.map(cache_file_name=A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					str:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.sqlite''' )
							with contextlib.closing(sqlitea.connect(A ) ) as con:
														lowerCAmelCase__      =			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       _snake_case     (  A )		->					Any:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.csv''' )
							with open(A				,					'''w'''				,					newline='''''' ) as f:
														lowerCAmelCase__      =			csv.DictWriter(A				,					fieldnames=['''col_1''', '''col_2''', '''col_3'''] )
														writer.writeheader()
														for item in DATA:
																					writer.writerow(A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Optional[int]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset2.csv''' )
							with open(A				,					'''w'''				,					newline='''''' ) as f:
														lowerCAmelCase__      =			csv.DictWriter(A				,					fieldnames=['''col_1''', '''col_2''', '''col_3'''] )
														writer.writeheader()
														for item in DATA:
																					writer.writerow(A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					Optional[int]:
							import bza

							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.csv.bz2'''
							with open(A				,					'''rb''' ) as f:
														lowerCAmelCase__      =			f.read()
							# data = bytes(FILE_CONTENT, "utf-8")
							with bza.open(A				,					'''wb''' ) as f:
														f.write(A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					List[str]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.csv.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename(A ) )
														f.write(A				,					arcname=os.path.basename(A ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					Dict:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.csv.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename(csv_path.replace('''.csv'''				,					'''.CSV''' ) ) )
														f.write(A				,					arcname=os.path.basename(csva_path.replace('''.csv'''				,					'''.CSV''' ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					Optional[int]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset_with_dir.csv.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					str:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.parquet''' )
							lowerCAmelCase__      =			pa.schema(
							    {
							        '''col_1''': pa.string(),
							        '''col_2''': pa.intaa(),
							        '''col_3''': pa.floataa(),
							    } )
							with open(A				,					'''wb''' ) as f:
														lowerCAmelCase__      =			pq.ParquetWriter(A				,					schema=A )
														lowerCAmelCase__      =			pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(A ) )] for k in DATA[0]}				,					schema=A )
														writer.write_table(A )
														writer.close()
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					str:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.json''' )
							lowerCAmelCase__      =			{'''data''': DATA}
							with open(A				,					'''w''' ) as f:
														json.dump(A				,					A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Union[str, Any]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.json''' )
							lowerCAmelCase__      =			{'''data''': DATA_DICT_OF_LISTS}
							with open(A				,					'''w''' ) as f:
														json.dump(A				,					A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					str:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.jsonl''' )
							with open(A				,					'''w''' ) as f:
														for item in DATA:
																					f.write(json.dumps(A ) + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Optional[Any]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset2.jsonl''' )
							with open(A				,					'''w''' ) as f:
														for item in DATA:
																					f.write(json.dumps(A ) + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					List[str]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset_312.jsonl''' )
							with open(A				,					'''w''' ) as f:
														for item in DATA_312:
																					f.write(json.dumps(A ) + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					List[Any]:
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset-str.jsonl''' )
							with open(A				,					'''w''' ) as f:
														for item in DATA_STR:
																					f.write(json.dumps(A ) + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					List[str]:
							import gzip

							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.txt.gz''' )
							with open(A				,					'''rb''' ) as orig_file:
														with gzip.open(A				,					'''wb''' ) as zipped_file:
																					zipped_file.writelines(A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					Dict:
							import gzip

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


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					str:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.jsonl.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename(A ) )
														f.write(A				,					arcname=os.path.basename(A ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A				,					A )		->					Optional[Any]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset_nested.jsonl.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.join('''nested'''				,					os.path.basename(A ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					List[Any]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset_with_dir.jsonl.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					List[str]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.jsonl.tar'''
							with tarfile.TarFile(A				,					'''w''' ) as f:
														f.add(A				,					arcname=os.path.basename(A ) )
														f.add(A				,					arcname=os.path.basename(A ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A				,					A )		->					Optional[int]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset_nested.jsonl.tar'''
							with tarfile.TarFile(A				,					'''w''' ) as f:
														f.add(A				,					arcname=os.path.join('''nested'''				,					os.path.basename(A ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Any:
							lowerCAmelCase__      =			['''0''', '''1''', '''2''', '''3''']
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset.txt''' )
							with open(A				,					'''w''' ) as f:
														for item in data:
																					f.write(item + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Union[str, Any]:
							lowerCAmelCase__      =			['''0''', '''1''', '''2''', '''3''']
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset2.txt''' )
							with open(A				,					'''w''' ) as f:
														for item in data:
																					f.write(item + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Union[str, Any]:
							lowerCAmelCase__      =			['''0''', '''1''', '''2''', '''3''']
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.abc'''
							with open(A				,					'''w''' ) as f:
														for item in data:
																					f.write(item + '''\n''' )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					List[Any]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.text.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename(A ) )
														f.write(A				,					arcname=os.path.basename(A ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					Union[str, Any]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset_with_dir.text.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
														f.write(A				,					arcname=os.path.join('''main_dir'''				,					os.path.basename(A ) ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A				,					A )		->					Optional[int]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.ext.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename('''unsupported.ext''' ) )
														f.write(A				,					arcname=os.path.basename('''unsupported_2.ext''' ) )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					Tuple:
							lowerCAmelCase__      =			'''\n'''.join(['''First''', '''Second\u2029with Unicode new line''', '''Third'''] )
							lowerCAmelCase__      =			str(tmp_path_factory.mktemp('''data''' ) / '''dataset_with_unicode_new_lines.txt''' )
							with open(A				,					'''w'''				,					encoding='''utf-8''' ) as f:
														f.write(A )
							return path


@pytest.fixture(scope='''session''' )
def       _snake_case     (  )		->					List[str]:
							return os.path.join('''tests'''				,					'''features'''				,					'''data'''				,					'''test_image_rgb.jpg''' )


@pytest.fixture(scope='''session''' )
def       _snake_case     (  )		->					Any:
							return os.path.join('''tests'''				,					'''features'''				,					'''data'''				,					'''test_audio_44100.wav''' )


@pytest.fixture(scope='''session''' )
def       _snake_case     (  A				,					A )		->					Union[str, Any]:
							lowerCAmelCase__      =			tmp_path_factory.mktemp('''data''' ) / '''dataset.img.zip'''
							with zipfile.ZipFile(A				,					'''w''' ) as f:
														f.write(A				,					arcname=os.path.basename(A ) )
														f.write(A				,					arcname=os.path.basename(A ).replace('''.jpg'''				,					'''2.jpg''' ) )
							return path






@pytest.fixture(scope='''session''' )
def       _snake_case     (  A )		->					int:
							lowerCAmelCase__      =			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