


'''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					(      ):
      A_						:  int          =				10
      A_						:  Dict          =				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"""),
          })
      A_						:  List[Any]          =				datasets.Dataset.from_dict(
          {
              """tokens""": [["""foo"""] * 5] * n,
              """labels""": [[1] * 5] * n,
              """answers""": [{"""answer_start""": [97], """text""": ["""1976"""]}] * 10,
              """id""": list(range(lowerCamelCase)),
          }							,						features=lowerCamelCase							,						)
      return dataset




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      str							,						lowerCamelCase  :      Tuple):
      A_						:  List[Any]          =				str(tmp_path_factory.mktemp("""data""") / """file.arrow""")
      dataset.map(cache_file_name=lowerCamelCase)
      return filename


# FILE_CONTENT + files


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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int):
      A_						:  Dict          =				tmp_path_factory.mktemp("""data""") / """file.txt"""
      A_						:  Any          =				FILE_CONTENT
      with open(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase)
      return filename




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int):
      import bza

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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Union[str, Any]):
      import gzip

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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[Any]):
      if datasets.config.LZ4_AVAILABLE:
            import lza.frame

            A_						:  Dict          =				tmp_path_factory.mktemp("""data""") / """file.txt.lz4"""
            A_						:  Optional[int]          =				bytes(lowerCamelCase							,						"""utf-8""")
            with lza.frame.open(lowerCamelCase							,						"""wb""") as f:
                  f.write(lowerCamelCase)
            return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      List[Any]):
      if datasets.config.PY7ZR_AVAILABLE:
            import pyazr

            A_						:  Union[str, Any]          =				tmp_path_factory.mktemp("""data""") / """file.txt.7z"""
            with pyazr.SevenZipFile(lowerCamelCase							,						"""w""") as archive:
                  archive.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int							,						lowerCamelCase  :      str):
      import tarfile

      A_						:  List[str]          =				tmp_path_factory.mktemp("""data""") / """file.txt.tar"""
      with tarfile.TarFile(lowerCamelCase							,						"""w""") as f:
            f.add(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int):
      import lzma

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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Tuple							,						lowerCamelCase  :      List[str]):
      import zipfile

      A_						:  str          =				tmp_path_factory.mktemp("""data""") / """file.txt.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]):
      if datasets.config.ZSTANDARD_AVAILABLE:
            import zstandard as zstd

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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int):
      A_						:  List[str]          =				tmp_path_factory.mktemp("""data""") / """file.xml"""
      A_						:  Optional[int]          =				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(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase)
      return filename


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

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

__magic_name__			=      [
    {'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					(      ):
      return DATA_DICT_OF_LISTS




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




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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[Any]):
      A_						:  str          =				str(tmp_path_factory.mktemp("""data""") / """dataset2.csv""")
      with open(lowerCamelCase							,						"""w"""							,						newline="""""") as f:
            A_						:  str          =				csv.DictWriter(lowerCamelCase							,						fieldnames=["""col_1""", """col_2""", """col_3"""])
            writer.writeheader()
            for item in DATA:
                  writer.writerow(lowerCamelCase)
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int							,						lowerCamelCase  :      List[Any]):
      import bza

      A_						:  Optional[int]          =				tmp_path_factory.mktemp("""data""") / """dataset.csv.bz2"""
      with open(lowerCamelCase							,						"""rb""") as f:
            A_						:  Optional[int]          =				f.read()
      # data = bytes(FILE_CONTENT, "utf-8")
      with bza.open(lowerCamelCase							,						"""wb""") as f:
            f.write(lowerCamelCase)
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]							,						lowerCamelCase  :      Dict							,						lowerCamelCase  :      Dict):
      A_						:  Optional[int]          =				tmp_path_factory.mktemp("""data""") / """dataset.csv.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]							,						lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      Dict):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset.csv.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(csv_path.replace(""".csv"""							,						""".CSV""")))
            f.write(lowerCamelCase							,						arcname=os.path.basename(csva_path.replace(""".csv"""							,						""".CSV""")))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]							,						lowerCamelCase  :      Tuple							,						lowerCamelCase  :      Optional[Any]):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset_with_dir.csv.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      str):
      A_						:  Union[str, Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset.parquet""")
      A_						:  str          =				pa.schema(
          {
              """col_1""": pa.string(),
              """col_2""": pa.intaa(),
              """col_3""": pa.floataa(),
          })
      with open(lowerCamelCase							,						"""wb""") as f:
            A_						:  List[Any]          =				pq.ParquetWriter(lowerCamelCase							,						schema=lowerCamelCase)
            A_						:  Optional[int]          =				pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(lowerCamelCase))] for k in DATA[0]}							,						schema=lowerCamelCase)
            writer.write_table(lowerCamelCase)
            writer.close()
      return path




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




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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]):
      A_						:  List[Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset.jsonl""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in DATA:
                  f.write(json.dumps(lowerCamelCase) + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      List[str]):
      A_						:  Dict          =				str(tmp_path_factory.mktemp("""data""") / """dataset2.jsonl""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in DATA:
                  f.write(json.dumps(lowerCamelCase) + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      List[Any]):
      A_						:  List[Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset_312.jsonl""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in DATA_312:
                  f.write(json.dumps(lowerCamelCase) + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      int):
      A_						:  Dict          =				str(tmp_path_factory.mktemp("""data""") / """dataset-str.jsonl""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in DATA_STR:
                  f.write(json.dumps(lowerCamelCase) + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      str							,						lowerCamelCase  :      List[Any]):
      import gzip

      A_						:  List[str]          =				str(tmp_path_factory.mktemp("""data""") / """dataset.txt.gz""")
      with open(lowerCamelCase							,						"""rb""") as orig_file:
            with gzip.open(lowerCamelCase							,						"""wb""") as zipped_file:
                  zipped_file.writelines(lowerCamelCase)
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Dict							,						lowerCamelCase  :      List[Any]):
      import gzip

      A_						:  Union[str, Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset.jsonl.gz""")
      with open(lowerCamelCase							,						"""rb""") as orig_file:
            with gzip.open(lowerCamelCase							,						"""wb""") as zipped_file:
                  zipped_file.writelines(lowerCamelCase)
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      str							,						lowerCamelCase  :      str							,						lowerCamelCase  :      List[Any]):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset.jsonl.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Dict							,						lowerCamelCase  :      int							,						lowerCamelCase  :      Union[str, Any]							,						lowerCamelCase  :      Optional[Any]):
      A_						:  Tuple          =				tmp_path_factory.mktemp("""data""") / """dataset_nested.jsonl.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.join("""nested"""							,						os.path.basename(lowerCamelCase)))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      List[Any]							,						lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      str):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset_with_dir.jsonl.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Any							,						lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      Optional[Any]):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset.jsonl.tar"""
      with tarfile.TarFile(lowerCamelCase							,						"""w""") as f:
            f.add(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            f.add(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Dict							,						lowerCamelCase  :      Tuple							,						lowerCamelCase  :      List[str]							,						lowerCamelCase  :      Any):
      A_						:  str          =				tmp_path_factory.mktemp("""data""") / """dataset_nested.jsonl.tar"""
      with tarfile.TarFile(lowerCamelCase							,						"""w""") as f:
            f.add(lowerCamelCase							,						arcname=os.path.join("""nested"""							,						os.path.basename(lowerCamelCase)))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[Any]):
      A_						:  Optional[Any]          =				["""0""", """1""", """2""", """3"""]
      A_						:  List[Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset.txt""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in data:
                  f.write(item + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      List[Any]):
      A_						:  Optional[int]          =				["""0""", """1""", """2""", """3"""]
      A_						:  List[Any]          =				str(tmp_path_factory.mktemp("""data""") / """dataset2.txt""")
      with open(lowerCamelCase							,						"""w""") as f:
            for item in data:
                  f.write(item + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      str):
      A_						:  Dict          =				["""0""", """1""", """2""", """3"""]
      A_						:  Optional[int]          =				tmp_path_factory.mktemp("""data""") / """dataset.abc"""
      with open(lowerCamelCase							,						"""w""") as f:
            for item in data:
                  f.write(item + """\n""")
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]							,						lowerCamelCase  :      Any							,						lowerCamelCase  :      int):
      A_						:  List[Any]          =				tmp_path_factory.mktemp("""data""") / """dataset.text.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Tuple							,						lowerCamelCase  :      int							,						lowerCamelCase  :      Tuple):
      A_						:  str          =				tmp_path_factory.mktemp("""data""") / """dataset_with_dir.text.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
            f.write(lowerCamelCase							,						arcname=os.path.join("""main_dir"""							,						os.path.basename(lowerCamelCase)))
      return path




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Any							,						lowerCamelCase  :      str							,						lowerCamelCase  :      List[Any]):
      A_						:  int          =				tmp_path_factory.mktemp("""data""") / """dataset.ext.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename("""unsupported.ext"""))
            f.write(lowerCamelCase							,						arcname=os.path.basename("""unsupported_2.ext"""))
      return path




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




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




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




@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      Any							,						lowerCamelCase  :      Optional[int]):
      A_						:  Any          =				tmp_path_factory.mktemp("""data""") / """dataset.img.zip"""
      with zipfile.ZipFile(lowerCamelCase							,						"""w""") as f:
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase))
            f.write(lowerCamelCase							,						arcname=os.path.basename(lowerCamelCase).replace(""".jpg"""							,						"""2.jpg"""))
      return path






@pytest.fixture(scope="""session""")
def      lowerCamelCase					(      lowerCamelCase  :      List[str]):
      A_						:  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""" * 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




'''simple docstring'''


import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  a_  					=							["""image_processor""", """tokenizer"""]
  a_  					=							"""ViltImageProcessor"""
  a_  					=							("""BertTokenizer""", """BertTokenizerFast""")






  def __init__(							self :       List[Any]	,_a :       Optional[Any]=None	,_a :       List[str]=None	,**_a :       Any ):

        '''simple docstring'''




        A_						:  Any          =				None
        if "feature_extractor" in kwargs:
              warnings.warn(
                  """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                  """ instead."""	,_a	,)
              A_						:  List[str]          =				kwargs.pop("""feature_extractor""" )

        A_						:  List[Any]          =				image_processor if image_processor is not None else feature_extractor
        if image_processor is None:
              raise ValueError("""You need to specify an `image_processor`.""" )
        if tokenizer is None:
              raise ValueError("""You need to specify a `tokenizer`.""" )

        super().__init__(_a	,_a )
        A_						:  Optional[Any]          =				self.image_processor






  def __call__(							self :       Any	,_a :       Tuple	,_a :       Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None	,_a :       bool = True	,_a :       Union[bool, str, PaddingStrategy] = False	,_a :       Union[bool, str, TruncationStrategy] = None	,_a :       Optional[int] = None	,_a :       int = 0	,_a :       Optional[int] = None	,_a :       Optional[bool] = None	,_a :       Optional[bool] = None	,_a :       bool = False	,_a :       bool = False	,_a :       bool = False	,_a :       bool = False	,_a :       bool = True	,_a :       Optional[Union[str, TensorType]] = None	,**_a :       Tuple	,):

        '''simple docstring'''




        A_						:  int          =				self.tokenizer(
            text=_a	,add_special_tokens=_a	,padding=_a	,truncation=_a	,max_length=_a	,stride=_a	,pad_to_multiple_of=_a	,return_token_type_ids=_a	,return_attention_mask=_a	,return_overflowing_tokens=_a	,return_special_tokens_mask=_a	,return_offsets_mapping=_a	,return_length=_a	,verbose=_a	,return_tensors=_a	,**_a	,)
        # add pixel_values + pixel_mask
        A_						:  Optional[int]          =				self.image_processor(_a	,return_tensors=_a )
        encoding.update(_a )

        return encoding






  def        _a							(							self :       List[Any]	,*_a :       Any	,**_a :       Any ):

        '''simple docstring'''




        return self.tokenizer.batch_decode(*_a	,**_a )






  def        _a							(							self :       int	,*_a :       int	,**_a :       Optional[int] ):

        '''simple docstring'''




        return self.tokenizer.decode(*_a	,**_a )






  @property
  def        _a							(							self :       List[Any] ):

        '''simple docstring'''




        A_						:  Optional[int]          =				self.tokenizer.model_input_names
        A_						:  str          =				self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )






  @property
  def        _a							(							self :       str ):

        '''simple docstring'''




        warnings.warn(
            """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""	,_a	,)
        return self.image_processor_class






  @property
  def        _a							(							self :       int ):

        '''simple docstring'''




        warnings.warn(
            """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""	,_a	,)
        return self.image_processor
