
import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase    					=   [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]

def      A (       ):
						snake_case       :     Dict =    Github(os.environ['''GITHUB_TOKEN''']       )
						snake_case       :     List[Any] =    g.get_repo('''huggingface/diffusers'''       )
						snake_case       :     int =    repo.get_issues(state='''open'''       )

						for issue in open_issues:
												snake_case       :     int =    sorted(issue.get_comments()    ,							key=lambda A_       : i.created_at    ,							reverse=A_       )
												snake_case       :     Optional[Any] =    comments[0] if len(A_       ) > 0 else None
												if (
												    last_comment is not None
												    and last_comment.user.login == "github-actions[bot]"
												    and (dt.utcnow() - issue.updated_at).days > 7
												    and (dt.utcnow() - issue.created_at).days >= 30
												    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
												):
																		# Closes the issue after 7 days of inactivity since the Stalebot notification.
																		issue.edit(state='''closed'''       )
												elif (
												    "stale" in issue.get_labels()
												    and last_comment is not None
												    and last_comment.user.login != "github-actions[bot]"
												):
																		# Opens the issue if someone other than Stalebot commented.
																		issue.edit(state='''open'''       )
																		issue.remove_from_labels('''stale'''       )
												elif (
												    (dt.utcnow() - issue.updated_at).days > 23
												    and (dt.utcnow() - issue.created_at).days >= 30
												    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
												):
																		# Post a Stalebot notification after 23 days of inactivity.
																		issue.create_comment(
																		    '''This issue has been automatically marked as stale because it has not had '''
																		    '''recent activity. If you think this still needs to be addressed '''
																		    '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
																		    '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
																		    '''are likely to be ignored.'''       )
																		issue.add_to_labels('''stale'''       )


if __name__ == "__main__":
						main()



'''simple docstring'''





import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

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

import datasets
import datasets.config

@pytest.fixture(scope='''session'''       )
def      A (       ):
						snake_case       :     Dict =    10
						snake_case       :     List[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       :     Dict =    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      A (       A_							:					List[Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''file.arrow'''       )
						dataset.map(cache_file_name=A_       )
						return filename


# FILE_CONTENT + files


UpperCAmelCase    					=   "\\n    Text data.\n    Second line of data."

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]       ):
						snake_case       :     Any =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt'''
						snake_case       :     Union[str, Any] =    FILE_CONTENT
						with open(A_    ,							'''w'''       ) as f:
												f.write(A_       )
						return filename

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]       ):
						import bza

						snake_case       :     Tuple =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.bz2'''
						snake_case       :     Union[str, Any] =    bytes(A_    ,							'''utf-8'''       )
						with bza.open(A_    ,							'''wb'''       ) as f:
												f.write(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[Any]       ):
						import gzip

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]       ):
						if datasets.config.LZ4_AVAILABLE:
												import lza.frame

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Union[str, Any]    ,							A_							:					str       ):
						if datasets.config.PY7ZR_AVAILABLE:
												import pyazr

												snake_case       :     Optional[Any] =    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      A (       A_							:					List[str]    ,							A_							:					Optional[int]       ):
						import tarfile

						snake_case       :     Union[str, Any] =    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      A (       A_							:					Any       ):
						import lzma

						snake_case       :     Any =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.xz'''
						snake_case       :     Union[str, Any] =    bytes(A_    ,							'''utf-8'''       )
						with lzma.open(A_    ,							'''wb'''       ) as f:
												f.write(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]    ,							A_							:					Union[str, Any]       ):
						import zipfile

						snake_case       :     List[str] =    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      A (       A_							:					List[str]       ):
						if datasets.config.ZSTANDARD_AVAILABLE:
												import zstandard as zstd

												snake_case       :     Tuple =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.zst'''
												snake_case       :     List[str] =    bytes(A_    ,							'''utf-8'''       )
												with zstd.open(A_    ,							'''wb'''       ) as f:
																		f.write(A_       )
												return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     Optional[int] =    tmp_path_factory.mktemp('''data'''       ) / '''file.xml'''
						snake_case       :     Any =    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      A (       ):
						return DATA_DICT_OF_LISTS

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     str =    datasets.Dataset.from_dict(A_       )
						snake_case       :     List[Any] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.arrow'''       )
						dataset.map(cache_file_name=A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     Optional[int] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.sqlite'''       )
						with contextlib.closing(sqlitea.connect(A_       )       ) as con:
												snake_case       :     Optional[Any] =    con.cursor()
												cur.execute('''CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'''       )
												for item in DATA:
																		cur.execute('''INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)'''    ,							tuple(item.values()       )       )
												con.commit()
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]       ):
						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.csv'''       )
						with open(A_    ,							'''w'''    ,							newline=''''''       ) as f:
												snake_case       :     Optional[int] =    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      A (       A_							:					Optional[int]       ):
						snake_case       :     Optional[int] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset2.csv'''       )
						with open(A_    ,							'''w'''    ,							newline=''''''       ) as f:
												snake_case       :     int =    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      A (       A_							:					Optional[Any]    ,							A_							:					Optional[int]       ):
						import bza

						snake_case       :     Optional[int] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.csv.bz2'''
						with open(A_    ,							'''rb'''       ) as f:
												snake_case       :     Any =    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      A (       A_							:					str    ,							A_							:					int    ,							A_							:					List[Any]       ):
						snake_case       :     Optional[Any] =    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      A (       A_							:					Dict    ,							A_							:					Optional[Any]    ,							A_							:					Dict       ):
						snake_case       :     str =    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      A (       A_							:					Dict    ,							A_							:					Dict    ,							A_							:					Optional[int]       ):
						snake_case       :     Dict =    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      A (       A_							:					Dict       ):
						snake_case       :     List[str] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.parquet'''       )
						snake_case       :     Tuple =    pa.schema(
						    {
						        '''col_1''': pa.string(),
						        '''col_2''': pa.intaa(),
						        '''col_3''': pa.floataa(),
						    }       )
						with open(A_    ,							'''wb'''       ) as f:
												snake_case       :     Dict =    pq.ParquetWriter(A_    ,							schema=A_       )
												snake_case       :     str =    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      A (       A_							:					List[str]       ):
						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.json'''       )
						snake_case       :     Optional[int] =    {'''data''': DATA}
						with open(A_    ,							'''w'''       ) as f:
												json.dump(A_    ,							A_       )
						return path

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]       ):
						snake_case       :     Optional[Any] =    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      A (       A_							:					List[Any]       ):
						snake_case       :     Optional[int] =    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      A (       A_							:					List[Any]       ):
						snake_case       :     Dict =    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      A (       A_							:					int       ):
						snake_case       :     Dict =    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      A (       A_							:					Optional[int]    ,							A_							:					Optional[int]       ):
						import gzip

						snake_case       :     Dict =    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      A (       A_							:					Optional[int]    ,							A_							:					Any       ):
						import gzip

						snake_case       :     List[Any] =    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      A (       A_							:					str    ,							A_							:					List[str]    ,							A_							:					Optional[int]       ):
						snake_case       :     int =    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      A (       A_							:					List[str]    ,							A_							:					Any    ,							A_							:					Union[str, Any]    ,							A_							:					int       ):
						snake_case       :     List[str] =    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      A (       A_							:					List[str]    ,							A_							:					Dict    ,							A_							:					Any       ):
						snake_case       :     Optional[Any] =    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      A (       A_							:					List[Any]    ,							A_							:					Tuple    ,							A_							:					List[str]       ):
						snake_case       :     int =    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      A (       A_							:					Tuple    ,							A_							:					Any    ,							A_							:					Tuple    ,							A_							:					Optional[Any]       ):
						snake_case       :     List[Any] =    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      A (       A_							:					int       ):
						snake_case       :     int =    ['''0''', '''1''', '''2''', '''3''']
						snake_case       :     Optional[int] =    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      A (       A_							:					List[str]       ):
						snake_case       :     Union[str, Any] =    ['''0''', '''1''', '''2''', '''3''']
						snake_case       :     Optional[int] =    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      A (       A_							:					Optional[int]       ):
						snake_case       :     Optional[int] =    ['''0''', '''1''', '''2''', '''3''']
						snake_case       :     str =    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      A (       A_							:					Optional[Any]    ,							A_							:					Any    ,							A_							:					Union[str, Any]       ):
						snake_case       :     Dict =    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      A (       A_							:					List[str]    ,							A_							:					Union[str, Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     List[Any] =    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      A (       A_							:					Any    ,							A_							:					Union[str, Any]    ,							A_							:					str       ):
						snake_case       :     List[Any] =    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      A (       A_							:					Union[str, Any]       ):
						snake_case       :     Any =    '''\n'''.join(['''First''', '''Second\u2029with Unicode new line''', '''Third''']       )
						snake_case       :     Optional[int] =    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      A (       ):
						return os.path.join('''tests'''    ,							'''features'''    ,							'''data'''    ,							'''test_image_rgb.jpg'''       )

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     Union[str, Any] =    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      A (       A_							:					Optional[Any]       ):
						snake_case       :     Dict =    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

