




import warnings
from typing import List

import numpy as np

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import is_flax_available, is_tf_available, is_torch_available






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		['image_processor', 'tokenizer']
      A__		     =		'OwlViTImageProcessor'
      A__		     =		('CLIPTokenizer', 'CLIPTokenizerFast')

      def __init__(   self      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[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.'''      ,				__UpperCAmelCase      ,				)
          lowerCAmelCase__				:  str		       =     kwargs.pop('''feature_extractor'''		)

        lowerCAmelCase__				:  List[str]		       =     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__(__UpperCAmelCase      ,				__UpperCAmelCase		)

      def __call__(   self      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase="max_length"      ,				__UpperCAmelCase="np"      ,				**__UpperCAmelCase		):

        if text is None and query_images is None and images is None:
          raise ValueError(
              '''You have to specify at least one text or query image or image. All three cannot be none.'''		)

        if text is not None:
          if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) or (isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) and not isinstance(text[0]      ,				__UpperCAmelCase		)):
            lowerCAmelCase__				:  int		       =     [self.tokenizer(__UpperCAmelCase      ,				padding=__UpperCAmelCase      ,				return_tensors=__UpperCAmelCase      ,				**__UpperCAmelCase		)]

          elif isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) and isinstance(text[0]      ,				__UpperCAmelCase		):
            lowerCAmelCase__				:  Optional[int]		       =     []

            # Maximum number of queries across batch
            lowerCAmelCase__				:  List[Any]		       =     max([len(__UpperCAmelCase		) for t in text]		)

            # Pad all batch samples to max number of text queries
            for t in text:
              if len(__UpperCAmelCase		) != max_num_queries:
                lowerCAmelCase__				:  Dict		       =     t + [''' '''] * (max_num_queries - len(__UpperCAmelCase		))

              lowerCAmelCase__				:  str		       =     self.tokenizer(__UpperCAmelCase      ,				padding=__UpperCAmelCase      ,				return_tensors=__UpperCAmelCase      ,				**__UpperCAmelCase		)
              encodings.append(__UpperCAmelCase		)
          else:
            raise TypeError('''Input text should be a string, a list of strings or a nested list of strings'''		)

          if return_tensors == "np":
            lowerCAmelCase__				:  int		       =     np.concatenate([encoding['''input_ids'''] for encoding in encodings]      ,				axis=0		)
            lowerCAmelCase__				:  Tuple		       =     np.concatenate([encoding['''attention_mask'''] for encoding in encodings]      ,				axis=0		)

          elif return_tensors == "jax" and is_flax_available():
            import jax.numpy as jnp

            lowerCAmelCase__				:  Optional[Any]		       =     jnp.concatenate([encoding['''input_ids'''] for encoding in encodings]      ,				axis=0		)
            lowerCAmelCase__				:  Union[str, Any]		       =     jnp.concatenate([encoding['''attention_mask'''] for encoding in encodings]      ,				axis=0		)

          elif return_tensors == "pt" and is_torch_available():
            import torch

            lowerCAmelCase__				:  Tuple		       =     torch.cat([encoding['''input_ids'''] for encoding in encodings]      ,				dim=0		)
            lowerCAmelCase__				:  Optional[int]		       =     torch.cat([encoding['''attention_mask'''] for encoding in encodings]      ,				dim=0		)

          elif return_tensors == "tf" and is_tf_available():
            import tensorflow as tf

            lowerCAmelCase__				:  Optional[Any]		       =     tf.stack([encoding['''input_ids'''] for encoding in encodings]      ,				axis=0		)
            lowerCAmelCase__				:  Optional[int]		       =     tf.stack([encoding['''attention_mask'''] for encoding in encodings]      ,				axis=0		)

          else:
            raise ValueError('''Target return tensor type could not be returned'''		)

          lowerCAmelCase__				:  Any		       =     BatchEncoding()
          lowerCAmelCase__				:  Any		       =     input_ids
          lowerCAmelCase__				:  Tuple		       =     attention_mask

        if query_images is not None:
          lowerCAmelCase__				:  List[Any]		       =     BatchEncoding()
          lowerCAmelCase__				:  Union[str, Any]		       =     self.image_processor(
              __UpperCAmelCase      ,				return_tensors=__UpperCAmelCase      ,				**__UpperCAmelCase		).pixel_values
          lowerCAmelCase__				:  Optional[Any]		       =     query_pixel_values

        if images is not None:
          lowerCAmelCase__				:  List[str]		       =     self.image_processor(__UpperCAmelCase      ,				return_tensors=__UpperCAmelCase      ,				**__UpperCAmelCase		)

        if text is not None and images is not None:
          lowerCAmelCase__				:  Tuple		       =     image_features.pixel_values
          return encoding
        elif query_images is not None and images is not None:
          lowerCAmelCase__				:  int		       =     image_features.pixel_values
          return encoding
        elif text is not None or query_images is not None:
          return encoding
        else:
          return BatchEncoding(data=dict(**__UpperCAmelCase		)      ,				tensor_type=__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.image_processor.post_process(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.image_processor.post_process_object_detection(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.image_processor.post_process_image_guided_detection(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.tokenizer.batch_decode(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.tokenizer.decode(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      @property
      def 	__magic_name__(   self		):
        warnings.warn(
            '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''      ,				__UpperCAmelCase      ,				)
        return self.image_processor_class







      @property
      def 	__magic_name__(   self		):
        warnings.warn(
            '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''      ,				__UpperCAmelCase      ,				)
        return self.image_processor







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			(					)     ->	Optional[Any]:
  lowerCAmelCase__				:  List[str]		       =     10
  lowerCAmelCase__				:  Optional[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'''      ),
      }      )
  lowerCAmelCase__				:  List[Any]		       =     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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''file.arrow'''      )
  dataset.map(cache_file_name=UpperCamelCase      )
  return filename


# FILE_CONTENT + files


lowerCAmelCase_					    = """\
    Text data.
    Second line of data."""



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[int]:
  lowerCAmelCase__				:  Union[str, Any]		       =     tmp_path_factory.mktemp('''data'''      ) / '''file.txt'''
  lowerCAmelCase__				:  int		       =     FILE_CONTENT
  with open(UpperCamelCase	,      '''w'''      ) as f:
    f.write(UpperCamelCase      )
  return filename



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[Any]:
  import bza

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[Any]:
  import gzip

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Tuple:
  if datasets.config.LZ4_AVAILABLE:
    import lza.frame

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	Optional[Any]:
  if datasets.config.PY7ZR_AVAILABLE:
    import pyazr

    lowerCAmelCase__				:  int		       =     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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	Union[str, Any]:
  import tarfile

  lowerCAmelCase__				:  List[str]		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[int]:
  import lzma

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	Any:
  import zipfile

  lowerCAmelCase__				:  Optional[int]		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[str]:
  if datasets.config.ZSTANDARD_AVAILABLE:
    import zstandard as zstd

    lowerCAmelCase__				:  Tuple		       =     tmp_path_factory.mktemp('''data'''      ) / '''file.txt.zst'''
    lowerCAmelCase__				:  int		       =     bytes(UpperCamelCase	,      '''utf-8'''      )
    with zstd.open(UpperCamelCase	,      '''wb'''      ) as f:
      f.write(UpperCamelCase      )
    return path



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Dict:
  lowerCAmelCase__				:  Optional[int]		       =     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(UpperCamelCase	,      '''w'''      ) as f:
    f.write(UpperCamelCase      )
  return filename


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

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

lowerCAmelCase_					    = [
    {"""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			(					)     ->	Tuple:
  return DATA_DICT_OF_LISTS



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Any:
  lowerCAmelCase__				:  str		       =     datasets.Dataset.from_dict(UpperCamelCase      )
  lowerCAmelCase__				:  List[str]		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''dataset.arrow'''      )
  dataset.map(cache_file_name=UpperCamelCase      )
  return path



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Any:
  lowerCAmelCase__				:  List[str]		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''dataset.sqlite'''      )
  with contextlib.closing(sqlitea.connect(UpperCamelCase      )      ) as con:
    lowerCAmelCase__				:  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			(					UpperCamelCase      )     ->	int:
  lowerCAmelCase__				:  List[str]		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''dataset.csv'''      )
  with open(UpperCamelCase	,      '''w'''	,      newline=''''''      ) as f:
    lowerCAmelCase__				:  List[str]		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[Any]:
  lowerCAmelCase__				:  Dict		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''dataset2.csv'''      )
  with open(UpperCamelCase	,      '''w'''	,      newline=''''''      ) as f:
    lowerCAmelCase__				:  Tuple		       =     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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	List[str]:
  import bza

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Tuple:
  lowerCAmelCase__				:  Tuple		       =     str(tmp_path_factory.mktemp('''data'''      ) / '''dataset.json'''      )
  lowerCAmelCase__				:  Optional[Any]		       =     {'''data''': DATA_DICT_OF_LISTS}
  with open(UpperCamelCase	,      '''w'''      ) as f:
    json.dump(UpperCamelCase	,      UpperCamelCase      )
  return path



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase      )     ->	int:
  lowerCAmelCase__				:  Union[str, Any]		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	str:
  lowerCAmelCase__				:  Optional[int]		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[Any]:
  lowerCAmelCase__				:  Dict		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[Any]:
  lowerCAmelCase__				:  Optional[int]		       =     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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	int:
  import gzip

  lowerCAmelCase__				:  Dict		       =     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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	List[Any]:
  import gzip

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



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					)     ->	Optional[Any]:
  return os.path.join('''tests'''	,      '''features'''	,      '''data'''	,      '''test_audio_44100.wav'''      )



@pytest.fixture(scope='''session'''      )
def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	Union[str, Any]:
  lowerCAmelCase__				:  Tuple		       =     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      __lowerCAmelCase			(					UpperCamelCase      )     ->	Dict:
  lowerCAmelCase__				:  Optional[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

