

"""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  (  )	->						Any:
   '''simple docstring'''


   __lowercase								=						10
   __lowercase								=						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"),
       })
   __lowercase								=						datasets.Dataset.from_dict(
       {
           "tokens": [["foo"] * 5] * n,
           "labels": [[1] * 5] * n,
           "answers": [{"answer_start": [97], "text": ["1976"]}] * 10,
           "id": list(range(UpperCamelCase_)),
       },			features=UpperCamelCase_,			)
   return dataset




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Union[str, Any],			UpperCamelCase_     :       Optional[int])	->						Any:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "file.arrow")
   dataset.map(cache_file_name=UpperCamelCase_)
   return filename


# FILE_CONTENT + files


_a       =							'\\n    Text data.\n    Second line of data.'




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Optional[int])	->						List[Any]:
   '''simple docstring'''


   __lowercase								=						tmp_path_factory.mktemp("data") / "file.txt"
   __lowercase								=						FILE_CONTENT
   with open(UpperCamelCase_,			"w") as f:
      f.write(UpperCamelCase_)
   return filename




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       int)	->						Any:
   '''simple docstring'''


   import bza

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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Union[str, Any])	->						Optional[Any]:
   '''simple docstring'''


   import gzip

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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Tuple)	->						Union[str, Any]:
   '''simple docstring'''


   if datasets.config.LZ4_AVAILABLE:
      import lza.frame

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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       str,			UpperCamelCase_     :       Any)	->						Optional[Any]:
   '''simple docstring'''


   if datasets.config.PY7ZR_AVAILABLE:
      import pyazr

      __lowercase								=						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   _A  (  UpperCamelCase_     :       List[str],			UpperCamelCase_     :       Union[str, Any])	->						Optional[Any]:
   '''simple docstring'''


   import tarfile

   __lowercase								=						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   _A  (  UpperCamelCase_     :       Optional[int])	->						int:
   '''simple docstring'''


   import lzma

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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       Tuple)	->						int:
   '''simple docstring'''


   import zipfile

   __lowercase								=						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   _A  (  UpperCamelCase_     :       str)	->						Union[str, Any]:
   '''simple docstring'''


   if datasets.config.ZSTANDARD_AVAILABLE:
      import zstandard as zstd

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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       List[Any])	->						Optional[Any]:
   '''simple docstring'''


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


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

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

_a       =							[
    {'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  (  )	->						Any:
   '''simple docstring'''


   return DATA_DICT_OF_LISTS




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Union[str, Any])	->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						datasets.Dataset.from_dict(UpperCamelCase_)
   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset.arrow")
   dataset.map(cache_file_name=UpperCamelCase_)
   return path




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Optional[Any])	->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset.sqlite")
   with contextlib.closing(sqlitea.connect(UpperCamelCase_)) as con:
      __lowercase								=						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  (  UpperCamelCase_     :       Any)	->						int:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset.csv")
   with open(UpperCamelCase_,			"w",			newline="") as f:
      __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict)	->						Dict:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset2.csv")
   with open(UpperCamelCase_,			"w",			newline="") as f:
      __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict,			UpperCamelCase_     :       int)	->						Optional[Any]:
   '''simple docstring'''


   import bza

   __lowercase								=						tmp_path_factory.mktemp("data") / "dataset.csv.bz2"
   with open(UpperCamelCase_,			"rb") as f:
      __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict,			UpperCamelCase_     :       Dict,			UpperCamelCase_     :       List[str])	->						str:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       str,			UpperCamelCase_     :       Optional[Any])	->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       Union[str, Any],			UpperCamelCase_     :       int)	->						int:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       List[str])	->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset.parquet")
   __lowercase								=						pa.schema(
       {
           "col_1": pa.string(),
           "col_2": pa.intaa(),
           "col_3": pa.floataa(),
       })
   with open(UpperCamelCase_,			"wb") as f:
      __lowercase								=						pq.ParquetWriter(UpperCamelCase_,			schema=UpperCamelCase_)
      __lowercase								=						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   _A  (  UpperCamelCase_     :       str)	->						Tuple:
   '''simple docstring'''


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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Optional[Any])	->						Any:
   '''simple docstring'''


   __lowercase								=						str(tmp_path_factory.mktemp("data") / "dataset.json")
   __lowercase								=						{"data": DATA_DICT_OF_LISTS}
   with open(UpperCamelCase_,			"w") as f:
      json.dump(UpperCamelCase_,			UpperCamelCase_)
   return path




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       str)	->						int:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Optional[int])	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       str)	->						Any:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict)	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       int)	->						Union[str, Any]:
   '''simple docstring'''


   import gzip

   __lowercase								=						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   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       List[str])	->						List[str]:
   '''simple docstring'''


   import gzip

   __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict,			UpperCamelCase_     :       Any,			UpperCamelCase_     :       Union[str, Any])	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       Dict,			UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       List[str])	->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Any,			UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       Union[str, Any])	->						Dict:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Optional[int],			UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       Dict)	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict,			UpperCamelCase_     :       str,			UpperCamelCase_     :       Optional[Any],			UpperCamelCase_     :       Optional[int])	->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Any)	->						Dict:
   '''simple docstring'''


   __lowercase								=						["0", "1", "2", "3"]
   __lowercase								=						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   _A  (  UpperCamelCase_     :       str)	->						str:
   '''simple docstring'''


   __lowercase								=						["0", "1", "2", "3"]
   __lowercase								=						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   _A  (  UpperCamelCase_     :       str)	->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						["0", "1", "2", "3"]
   __lowercase								=						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   _A  (  UpperCamelCase_     :       List[Any],			UpperCamelCase_     :       Optional[Any],			UpperCamelCase_     :       Union[str, Any])	->						str:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       str,			UpperCamelCase_     :       Dict,			UpperCamelCase_     :       int)	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       int,			UpperCamelCase_     :       str,			UpperCamelCase_     :       Optional[int])	->						Optional[int]:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Dict)	->						Union[str, Any]:
   '''simple docstring'''


   __lowercase								=						"\n".join(["First", "Second\u2029with Unicode new line", "Third"])
   __lowercase								=						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   _A  (  )	->						Any:
   '''simple docstring'''


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




@pytest.fixture(scope="session")
def   _A  (  )	->						Union[str, Any]:
   '''simple docstring'''


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




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       List[str])	->						Tuple:
   '''simple docstring'''


   __lowercase								=						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   _A  (  UpperCamelCase_     :       Union[str, Any])	->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						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






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


__a  			=					logging.get_logger(__name__)
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Union[str, Any]         =	'upernet'
	def __init__(       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			Dict=None       ,							SCREAMING_SNAKE_CASE_  :			str=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.02       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=[1, 2, 3, 6]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=True       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.4       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=3_8_4       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_6       ,							SCREAMING_SNAKE_CASE_  :			Dict=1       ,							SCREAMING_SNAKE_CASE_  :			Tuple=False       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_5       ,							**SCREAMING_SNAKE_CASE_  :			str       ,							)       ->     int:
					super().__init__(**SCREAMING_SNAKE_CASE_       )

					if backbone_config is None:
									logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''       )
									lowercase_       =					CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']       )
					elif isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ):
									lowercase_       =					backbone_config.get('''model_type'''       )
									lowercase_       =					CONFIG_MAPPING[backbone_model_type]
									lowercase_       =					config_class.from_dict(SCREAMING_SNAKE_CASE_       )

					lowercase_       =					backbone_config
					lowercase_       =					hidden_size
					lowercase_       =					initializer_range
					lowercase_       =					pool_scales
					lowercase_       =					use_auxiliary_head
					lowercase_       =					auxiliary_loss_weight
					lowercase_       =					auxiliary_in_channels
					lowercase_       =					auxiliary_channels
					lowercase_       =					auxiliary_num_convs
					lowercase_       =					auxiliary_concat_input
					lowercase_       =					loss_ignore_index




	def 						_lowercase  (       self  :			List[str]       )       ->     List[str]:
					lowercase_       =					copy.deepcopy(self.__dict__       )
					lowercase_       =					self.backbone_config.to_dict()
					lowercase_       =					self.__class__.model_type
					return output




