


'''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     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       10
  lowerCAmelCase_      :				List[str]      =       datasets.Features(
      {
          """tokens""": datasets.Sequence(datasets.Value("""string""" ) ),
          """labels""": datasets.Sequence(datasets.ClassLabel(names=["""negative""", """positive"""] ) ),
          """answers""": datasets.Sequence(
              {
                  """text""": datasets.Value("""string""" ),
                  """answer_start""": datasets.Value("""int32""" ),
              } ),
          """id""": datasets.Value("""int64""" ),
      } )
  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       Tuple							,   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       str(tmp_path_factory.mktemp("""data""" ) / """file.arrow""" )
  dataset.map(cache_file_name=A__ )
  return filename


# FILE_CONTENT + files


__A :  str    							=				"\\n    Text data.\n    Second line of data."







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[int]      =       tmp_path_factory.mktemp("""data""" ) / """file.txt"""
  lowerCAmelCase_      :				Union[str, Any]      =       FILE_CONTENT
  with open(A__							,   """w""" ) as f:
    f.write(A__ )
  return filename







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





  import bza

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







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





  import gzip

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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       int ):
  '''simple docstring'''





  if datasets.config.LZ4_AVAILABLE:
    import lza.frame

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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Dict							,   A__ :       str ):
  '''simple docstring'''





  if datasets.config.PY7ZR_AVAILABLE:
    import pyazr

    lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       Union[str, Any]							,   A__ :       List[Any] ):
  '''simple docstring'''





  import tarfile

  lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       Optional[Any] ):
  '''simple docstring'''





  import lzma

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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Optional[Any]							,   A__ :       Dict ):
  '''simple docstring'''





  import zipfile

  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       Optional[int] ):
  '''simple docstring'''





  if datasets.config.ZSTANDARD_AVAILABLE:
    import zstandard as zstd

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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				Any      =       tmp_path_factory.mktemp("""data""" ) / """file.xml"""
  lowerCAmelCase_      :				Tuple      =       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


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

__A :  Optional[int]    							=				[
    {"col_3": 0.0, "col_1": "0", "col_2": 0},
    {"col_3": 1.0, "col_1": "1", "col_2": 1},
]

__A :  Optional[int]    							=				[
    {"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     UpperCamelCase_      (   ):
  '''simple docstring'''





  return DATA_DICT_OF_LISTS







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Optional[int] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Any      =       datasets.Dataset.from_dict(A__ )
  lowerCAmelCase_      :				int      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.arrow""" )
  dataset.map(cache_file_name=A__ )
  return path







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.sqlite""" )
  with contextlib.closing(sqlitea.connect(A__ ) ) as con:
    lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       List[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Any      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.csv""" )
  with open(A__							,   """w"""							,   newline="""""" ) as f:
    lowerCAmelCase_      :				Union[str, Any]      =       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     UpperCamelCase_      (   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset2.csv""" )
  with open(A__							,   """w"""							,   newline="""""" ) as f:
    lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       int							,   A__ :       List[Any] ):
  '''simple docstring'''





  import bza

  lowerCAmelCase_      :				Dict      =       tmp_path_factory.mktemp("""data""" ) / """dataset.csv.bz2"""
  with open(A__							,   """rb""" ) as f:
    lowerCAmelCase_      :				Optional[int]      =       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     UpperCamelCase_      (   A__ :       Tuple							,   A__ :       Any							,   A__ :       Tuple ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[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     UpperCamelCase_      (   A__ :       Any							,   A__ :       List[str]							,   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       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     UpperCamelCase_      (   A__ :       List[Any]							,   A__ :       List[Any]							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[int]      =       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     UpperCamelCase_      (   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.parquet""" )
  lowerCAmelCase_      :				str      =       pa.schema(
      {
          """col_1""": pa.string(),
          """col_2""": pa.intaa(),
          """col_3""": pa.floataa(),
      } )
  with open(A__							,   """wb""" ) as f:
    lowerCAmelCase_      :				Optional[int]      =       pq.ParquetWriter(A__							,   schema=A__ )
    lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.json""" )
  lowerCAmelCase_      :				List[str]      =       {"""data""": DATA}
  with open(A__							,   """w""" ) as f:
    json.dump(A__							,   A__ )
  return path







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       str(tmp_path_factory.mktemp("""data""" ) / """dataset.json""" )
  lowerCAmelCase_      :				Tuple      =       {"""data""": DATA_DICT_OF_LISTS}
  with open(A__							,   """w""" ) as f:
    json.dump(A__							,   A__ )
  return path







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       List[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				Any      =       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     UpperCamelCase_      (   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				Any      =       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     UpperCamelCase_      (   A__ :       Union[str, Any]							,   A__ :       Union[str, Any] ):
  '''simple docstring'''





  import gzip

  lowerCAmelCase_      :				List[str]      =       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     UpperCamelCase_      (   A__ :       Dict							,   A__ :       List[Any] ):
  '''simple docstring'''





  import gzip

  lowerCAmelCase_      :				Optional[int]      =       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     UpperCamelCase_      (   A__ :       str							,   A__ :       Any							,   A__ :       Optional[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[str]      =       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     UpperCamelCase_      (   A__ :       str							,   A__ :       List[str]							,   A__ :       Union[str, Any]							,   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       Dict							,   A__ :       Optional[int]							,   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       Optional[Any]							,   A__ :       Tuple							,   A__ :       Optional[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[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     UpperCamelCase_      (   A__ :       List[Any]							,   A__ :       Any							,   A__ :       List[str]							,   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Union[str, 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     UpperCamelCase_      (   A__ :       Any ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       ["""0""", """1""", """2""", """3"""]
  lowerCAmelCase_      :				Union[str, Any]      =       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     UpperCamelCase_      (   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Union[str, Any]      =       ["""0""", """1""", """2""", """3"""]
  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   A__ :       List[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       ["""0""", """1""", """2""", """3"""]
  lowerCAmelCase_      :				Optional[int]      =       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     UpperCamelCase_      (   A__ :       Any							,   A__ :       Union[str, Any]							,   A__ :       Any ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[int]      =       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     UpperCamelCase_      (   A__ :       int							,   A__ :       List[Any]							,   A__ :       Dict ):
  '''simple docstring'''





  lowerCAmelCase_      :				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     UpperCamelCase_      (   A__ :       Optional[int]							,   A__ :       int							,   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[str]      =       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     UpperCamelCase_      (   A__ :       List[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       """\n""".join(["""First""", """Second\u2029with Unicode new line""", """Third"""] )
  lowerCAmelCase_      :				Tuple      =       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     UpperCamelCase_      (   ):
  '''simple docstring'''





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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   ):
  '''simple docstring'''





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







@pytest.fixture(scope="""session""" )
def     UpperCamelCase_      (   A__ :       List[str]							,   A__ :       List[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[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     UpperCamelCase_      (   A__ :       List[Any] ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[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'''






import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np







def     UpperCamelCase_      (   A__ :       bytes							,   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       f'{sampling_rate}'
  lowerCAmelCase_      :				str      =       """1"""
  lowerCAmelCase_      :				Optional[int]      =       """f32le"""
  lowerCAmelCase_      :				Any      =       [
      """ffmpeg""",
      """-i""",
      """pipe:0""",
      """-ac""",
      ac,
      """-ar""",
      ar,
      """-f""",
      format_for_conversion,
      """-hide_banner""",
      """-loglevel""",
      """quiet""",
      """pipe:1""",
  ]

  try:
    with subprocess.Popen(A__							,   stdin=subprocess.PIPE							,   stdout=subprocess.PIPE ) as ffmpeg_process:
      lowerCAmelCase_      :				Optional[int]      =       ffmpeg_process.communicate(A__ )
  except FileNotFoundError as error:
    raise ValueError("""ffmpeg was not found but is required to load audio files from filename""" ) from error
  lowerCAmelCase_      :				Optional[Any]      =       output_stream[0]
  lowerCAmelCase_      :				Optional[int]      =       np.frombuffer(A__							,   np.floataa )
  if audio.shape[0] == 0:
    raise ValueError("""Malformed soundfile""" )
  return audio







def     UpperCamelCase_      (   A__ :       int							,   A__ :       float							,   A__ :       str = "f32le"							,   ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       f'{sampling_rate}'
  lowerCAmelCase_      :				Any      =       """1"""
  if format_for_conversion == "s16le":
    lowerCAmelCase_      :				Optional[Any]      =       2
  elif format_for_conversion == "f32le":
    lowerCAmelCase_      :				Union[str, Any]      =       4
  else:
    raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`' )

  lowerCAmelCase_      :				int      =       platform.system()
  if system == "Linux":
    lowerCAmelCase_      :				int      =       """alsa"""
    lowerCAmelCase_      :				int      =       """default"""
  elif system == "Darwin":
    lowerCAmelCase_      :				List[str]      =       """avfoundation"""
    lowerCAmelCase_      :				Union[str, Any]      =       """:0"""
  elif system == "Windows":
    lowerCAmelCase_      :				List[Any]      =       """dshow"""
    lowerCAmelCase_      :				Union[str, Any]      =       """default"""

  lowerCAmelCase_      :				Tuple      =       [
      """ffmpeg""",
      """-f""",
      format_,
      """-i""",
      input_,
      """-ac""",
      ac,
      """-ar""",
      ar,
      """-f""",
      format_for_conversion,
      """-fflags""",
      """nobuffer""",
      """-hide_banner""",
      """-loglevel""",
      """quiet""",
      """pipe:1""",
  ]
  lowerCAmelCase_      :				Tuple      =       int(round(sampling_rate * chunk_length_s ) ) * size_of_sample
  lowerCAmelCase_      :				List[str]      =       _ffmpeg_stream(A__							,   A__ )
  for item in iterator:
    yield item







def     UpperCamelCase_      (   A__ :       int							,   A__ :       float							,   A__ :       Optional[int] = None							,   A__ :       Optional[Union[Tuple[float, float], float]] = None							,   A__ :       str = "f32le"							,   ):
  '''simple docstring'''





  if stream_chunk_s is not None:
    lowerCAmelCase_      :				Union[str, Any]      =       stream_chunk_s
  else:
    lowerCAmelCase_      :				Tuple      =       chunk_length_s

  lowerCAmelCase_      :				List[Any]      =       ffmpeg_microphone(A__							,   A__							,   format_for_conversion=A__ )
  if format_for_conversion == "s16le":
    lowerCAmelCase_      :				Tuple      =       np.intaa
    lowerCAmelCase_      :				List[Any]      =       2
  elif format_for_conversion == "f32le":
    lowerCAmelCase_      :				Dict      =       np.floataa
    lowerCAmelCase_      :				int      =       4
  else:
    raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`' )

  if stride_length_s is None:
    lowerCAmelCase_      :				Optional[Any]      =       chunk_length_s / 6
  lowerCAmelCase_      :				List[str]      =       int(round(sampling_rate * chunk_length_s ) ) * size_of_sample
  if isinstance(A__							,   (int, float) ):
    lowerCAmelCase_      :				int      =       [stride_length_s, stride_length_s]

  lowerCAmelCase_      :				str      =       int(round(sampling_rate * stride_length_s[0] ) ) * size_of_sample
  lowerCAmelCase_      :				List[str]      =       int(round(sampling_rate * stride_length_s[1] ) ) * size_of_sample
  lowerCAmelCase_      :				Dict      =       datetime.datetime.now()
  lowerCAmelCase_      :				Any      =       datetime.timedelta(seconds=A__ )
  for item in chunk_bytes_iter(A__							,   A__							,   stride=(stride_left, stride_right)							,   stream=A__ ):
    # Put everything back in numpy scale
    lowerCAmelCase_      :				Optional[int]      =       np.frombuffer(item["""raw"""]							,   dtype=A__ )
    lowerCAmelCase_      :				Dict      =       (
        item["""stride"""][0] // size_of_sample,
        item["""stride"""][1] // size_of_sample,
    )
    lowerCAmelCase_      :				Dict      =       sampling_rate
    audio_time += delta
    if datetime.datetime.now() > audio_time + 10 * delta:
      # We're late !! SKIP
      continue
    yield item







def     UpperCamelCase_      (   A__ :       Any							,   A__ :       int							,   A__ :       Tuple[int, int]							,   A__ :       bool = False ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[str]      =       B""""""
  lowerCAmelCase_,							lowerCAmelCase_      :				Any      =       stride
  if stride_left + stride_right >= chunk_len:
    raise ValueError(
        f'Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}' )
  lowerCAmelCase_      :				Union[str, Any]      =       0
  for raw in iterator:
    acc += raw
    if stream and len(A__ ) < chunk_len:
      lowerCAmelCase_      :				Dict      =       (_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(A__ ) >= chunk_len:
        # We are flushing the accumulator
        lowerCAmelCase_      :				Optional[Any]      =       (_stride_left, stride_right)
        lowerCAmelCase_      :				List[str]      =       {"""raw""": acc[:chunk_len], """stride""": stride}
        if stream:
          lowerCAmelCase_      :				List[Any]      =       False
        yield item
        lowerCAmelCase_      :				str      =       stride_left
        lowerCAmelCase_      :				str      =       acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(A__ ) > stride_left:
    lowerCAmelCase_      :				Tuple      =       {"""raw""": acc, """stride""": (_stride_left, 0)}
    if stream:
      lowerCAmelCase_      :				Optional[Any]      =       False
    yield item







def     UpperCamelCase_      (   A__ :       List[str]							,   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				Dict      =       2**24  # 16Mo
  try:
    with subprocess.Popen(A__							,   stdout=subprocess.PIPE							,   bufsize=A__ ) as ffmpeg_process:
      while True:
        lowerCAmelCase_      :				Union[str, Any]      =       ffmpeg_process.stdout.read(A__ )
        if raw == b"":
          break
        yield raw
  except FileNotFoundError as error:
    raise ValueError("""ffmpeg was not found but is required to stream audio files from filename""" ) from error



