


'''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     (						):





     '''simple docstring'''






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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any      , _lowercase :     Any  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''file.arrow'''  )
     dataset.map(cache_file_name=_lowercase  )
     return filename


# FILE_CONTENT + files


__UpperCAmelCase      :Dict			    =       "\\n    Text data.\n    Second line of data."




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[int]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			str  							=      tmp_path_factory.mktemp('''data'''  ) / '''file.txt'''
     __UpperCAmelCase     :			str  							=      FILE_CONTENT
     with open(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase  )
     return filename




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     import bza

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[Any]  ):





     '''simple docstring'''






     import gzip

     __UpperCAmelCase     :			int  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''file.txt.gz'''  )
     __UpperCAmelCase     :			List[str]  							=      bytes(_lowercase      , '''utf-8'''  )
     with gzip.open(_lowercase      , '''wb'''  ) as f:
          f.write(_lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     if datasets.config.LZ4_AVAILABLE:
          import lza.frame

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[str]      , _lowercase :     int  ):





     '''simple docstring'''






     if datasets.config.PY7ZR_AVAILABLE:
          import pyazr

          __UpperCAmelCase     :			Optional[int]  							=      tmp_path_factory.mktemp('''data'''  ) / '''file.txt.7z'''
          with pyazr.SevenZipFile(_lowercase      , '''w'''  ) as archive:
               archive.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int      , _lowercase :     Tuple  ):





     '''simple docstring'''






     import tarfile

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Tuple  ):





     '''simple docstring'''






     import lzma

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[Any]      , _lowercase :     int  ):





     '''simple docstring'''






     import zipfile

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int  ):





     '''simple docstring'''






     if datasets.config.ZSTANDARD_AVAILABLE:
          import zstandard as zstd

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      tmp_path_factory.mktemp('''data'''  ) / '''file.xml'''
     __UpperCAmelCase     :			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(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase  )
     return filename


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

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

__UpperCAmelCase      :Union[str, Any]			    =       [
    {"col_1": "s0", "col_2": 0, "col_3": 0.0},
    {"col_1": "s1", "col_2": 1, "col_3": 1.0},
    {"col_1": "s2", "col_2": 2, "col_3": 2.0},
    {"col_1": "s3", "col_2": 3, "col_3": 3.0},
]




@pytest.fixture(scope='''session'''  )
def      _a     (						):





     '''simple docstring'''






     return DATA_DICT_OF_LISTS




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      datasets.Dataset.from_dict(_lowercase  )
     __UpperCAmelCase     :			List[Any]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.arrow'''  )
     dataset.map(cache_file_name=_lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Union[str, Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			List[Any]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.sqlite'''  )
     with contextlib.closing(sqlitea.connect(_lowercase  )  ) as con:
          __UpperCAmelCase     :			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      _a     (						_lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.csv'''  )
     with open(_lowercase      , '''w'''      , newline=''''''  ) as f:
          __UpperCAmelCase     :			int  							=      csv.DictWriter(_lowercase      , fieldnames=['''col_1''', '''col_2''', '''col_3''']  )
          writer.writeheader()
          for item in DATA:
               writer.writerow(_lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Tuple  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.csv'''  )
     with open(_lowercase      , '''w'''      , newline=''''''  ) as f:
          __UpperCAmelCase     :			Union[str, Any]  							=      csv.DictWriter(_lowercase      , fieldnames=['''col_1''', '''col_2''', '''col_3''']  )
          writer.writeheader()
          for item in DATA:
               writer.writerow(_lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int      , _lowercase :     int  ):





     '''simple docstring'''






     import bza

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict      , _lowercase :     Union[str, Any]      , _lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			List[str]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.csv.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict      , _lowercase :     Tuple      , _lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Any  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.csv.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename(csv_path.replace('''.csv'''      , '''.CSV'''  )  )  )
          f.write(_lowercase      , arcname=os.path.basename(csva_path.replace('''.csv'''      , '''.CSV'''  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[Any]      , _lowercase :     List[Any]      , _lowercase :     Dict  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset_with_dir.csv.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict  ):





     '''simple docstring'''






     __UpperCAmelCase     :			int  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.parquet'''  )
     __UpperCAmelCase     :			List[Any]  							=      pa.schema(
         {
             '''col_1''': pa.string(),
             '''col_2''': pa.intaa(),
             '''col_3''': pa.floataa(),
         }  )
     with open(_lowercase      , '''wb'''  ) as f:
          __UpperCAmelCase     :			Optional[Any]  							=      pq.ParquetWriter(_lowercase      , schema=_lowercase  )
          __UpperCAmelCase     :			Dict  							=      pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_lowercase  )  )] for k in DATA[0]}      , schema=_lowercase  )
          writer.write_table(_lowercase  )
          writer.close()
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict  ):





     '''simple docstring'''






     __UpperCAmelCase     :			str  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.json'''  )
     __UpperCAmelCase     :			List[Any]  							=      {'''data''': DATA}
     with open(_lowercase      , '''w'''  ) as f:
          json.dump(_lowercase      , _lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.json'''  )
     __UpperCAmelCase     :			Union[str, Any]  							=      {'''data''': DATA_DICT_OF_LISTS}
     with open(_lowercase      , '''w'''  ) as f:
          json.dump(_lowercase      , _lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.jsonl'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in DATA:
               f.write(json.dumps(_lowercase  ) + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Dict  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.jsonl'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in DATA:
               f.write(json.dumps(_lowercase  ) + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Any  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset_312.jsonl'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in DATA_312:
               f.write(json.dumps(_lowercase  ) + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset-str.jsonl'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in DATA_STR:
               f.write(json.dumps(_lowercase  ) + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Union[str, Any]      , _lowercase :     Optional[Any]  ):





     '''simple docstring'''






     import gzip

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[str]      , _lowercase :     str  ):





     '''simple docstring'''






     import gzip

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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any      , _lowercase :     Union[str, Any]      , _lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.jsonl.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Union[str, Any]      , _lowercase :     Dict      , _lowercase :     Dict      , _lowercase :     List[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			List[Any]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset_nested.jsonl.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.join('''nested'''      , os.path.basename(_lowercase  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     int      , _lowercase :     str      , _lowercase :     List[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset_with_dir.jsonl.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[str]      , _lowercase :     Optional[int]      , _lowercase :     Optional[int]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			str  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.jsonl.tar'''
     with tarfile.TarFile(_lowercase      , '''w'''  ) as f:
          f.add(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          f.add(_lowercase      , arcname=os.path.basename(_lowercase  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[Any]      , _lowercase :     int      , _lowercase :     Dict      , _lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Dict  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset_nested.jsonl.tar'''
     with tarfile.TarFile(_lowercase      , '''w'''  ) as f:
          f.add(_lowercase      , arcname=os.path.join('''nested'''      , os.path.basename(_lowercase  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[str]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			List[str]  							=      ['''0''', '''1''', '''2''', '''3''']
     __UpperCAmelCase     :			List[str]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset.txt'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in data:
               f.write(item + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Tuple  							=      ['''0''', '''1''', '''2''', '''3''']
     __UpperCAmelCase     :			Tuple  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset2.txt'''  )
     with open(_lowercase      , '''w'''  ) as f:
          for item in data:
               f.write(item + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Dict  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      ['''0''', '''1''', '''2''', '''3''']
     __UpperCAmelCase     :			str  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.abc'''
     with open(_lowercase      , '''w'''  ) as f:
          for item in data:
               f.write(item + '''\n'''  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[int]      , _lowercase :     Dict      , _lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			str  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.text.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Optional[Any]      , _lowercase :     Any      , _lowercase :     Optional[Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset_with_dir.text.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
          f.write(_lowercase      , arcname=os.path.join('''main_dir'''      , os.path.basename(_lowercase  )  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     List[Any]      , _lowercase :     Optional[Any]      , _lowercase :     Tuple  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Tuple  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.ext.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename('''unsupported.ext'''  )  )
          f.write(_lowercase      , arcname=os.path.basename('''unsupported_2.ext'''  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Union[str, Any]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Dict  							=      '''\n'''.join(['''First''', '''Second\u2029with Unicode new line''', '''Third''']  )
     __UpperCAmelCase     :			List[Any]  							=      str(tmp_path_factory.mktemp('''data'''  ) / '''dataset_with_unicode_new_lines.txt'''  )
     with open(_lowercase      , '''w'''      , encoding='''utf-8'''  ) as f:
          f.write(_lowercase  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						):





     '''simple docstring'''






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




@pytest.fixture(scope='''session'''  )
def      _a     (						):





     '''simple docstring'''






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




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any      , _lowercase :     Optional[int]  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[int]  							=      tmp_path_factory.mktemp('''data'''  ) / '''dataset.img.zip'''
     with zipfile.ZipFile(_lowercase      , '''w'''  ) as f:
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  )  )
          f.write(_lowercase      , arcname=os.path.basename(_lowercase  ).replace('''.jpg'''      , '''2.jpg'''  )  )
     return path




@pytest.fixture(scope='''session'''  )
def      _a     (						_lowercase :     Any  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Any  							=      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'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__UpperCAmelCase      :Union[str, Any]			    =       {
    "configuration_rag": ["RagConfig"],
    "retrieval_rag": ["RagRetriever"],
    "tokenization_rag": ["RagTokenizer"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase      :Dict			    =       [
          "RagModel",
          "RagPreTrainedModel",
          "RagSequenceForGeneration",
          "RagTokenForGeneration",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase      :Dict			    =       [
          "TFRagModel",
          "TFRagPreTrainedModel",
          "TFRagSequenceForGeneration",
          "TFRagTokenForGeneration",
      ]


if TYPE_CHECKING:
      from .configuration_rag import RagConfig
      from .retrieval_rag import RagRetriever
      from .tokenization_rag import RagTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_rag import (
                TFRagModel,
                TFRagPreTrainedModel,
                TFRagSequenceForGeneration,
                TFRagTokenForGeneration,
            )

else:
      import sys

      __UpperCAmelCase      :Any			    =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)