






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 				snake_case  (     ):




	'''simple docstring'''







	__lowercase             =  10
	__lowercase             =  datasets.Features(
	    {
	        """tokens""": datasets.Sequence(datasets.Value("""string"""					)					),
	        """labels""": datasets.Sequence(datasets.ClassLabel(names=["""negative""", """positive"""]					)					),
	        """answers""": datasets.Sequence(
	            {
	                """text""": datasets.Value("""string"""					),
	                """answer_start""": datasets.Value("""int32"""					),
	            }					),
	        """id""": datasets.Value("""int64"""					),
	    }					)
	__lowercase             =  datasets.Dataset.from_dict(
	    {
	        """tokens""": [["""foo"""] * 5] * n,
	        """labels""": [[1] * 5] * n,
	        """answers""": [{"""answer_start""": [97], """text""": ["""1976"""]}] * 10,
	        """id""": list(range(lowerCamelCase					)					),
	    }				,  features=lowerCamelCase				,  )
	return dataset





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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


# FILE_CONTENT + files


__UpperCamelCase      :      int     						=						"""\
    Text data.
    Second line of data."""





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	import bza

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	import gzip

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if datasets.config.LZ4_AVAILABLE:
		import lza.frame

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	if datasets.config.PY7ZR_AVAILABLE:
		import pyazr

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	import tarfile

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	import lzma

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	import zipfile

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if datasets.config.ZSTANDARD_AVAILABLE:
		import zstandard as zstd

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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


__UpperCamelCase      :      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},
]
__UpperCamelCase      :      Union[str, 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      :      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 				snake_case  (     ):




	'''simple docstring'''







	return DATA_DICT_OF_LISTS





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  str(tmp_path_factory.mktemp("""data"""					) / """dataset.sqlite"""					)
	with contextlib.closing(sqlitea.connect(lowerCamelCase					)					) as con:
		__lowercase             =  con.cursor()
		cur.execute("""CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"""					)
		for item in DATA:
			cur.execute("""INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)"""				,  tuple(item.values()					)					)
		con.commit()
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  str(tmp_path_factory.mktemp("""data"""					) / """dataset2.csv"""					)
	with open(lowerCamelCase				,  """w"""				,  newline=""""""					) as f:
		__lowercase             =  csv.DictWriter(lowerCamelCase				,  fieldnames=["""col_1""", """col_2""", """col_3"""]					)
		writer.writeheader()
		for item in DATA:
			writer.writerow(lowerCamelCase					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	import bza

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.csv.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset_with_dir.csv.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  str(tmp_path_factory.mktemp("""data"""					) / """dataset.jsonl"""					)
	with open(lowerCamelCase				,  """w"""					) as f:
		for item in DATA:
			f.write(json.dumps(lowerCamelCase					) + """\n"""					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  str(tmp_path_factory.mktemp("""data"""					) / """dataset-str.jsonl"""					)
	with open(lowerCamelCase				,  """w"""					) as f:
		for item in DATA_STR:
			f.write(json.dumps(lowerCamelCase					) + """\n"""					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	import gzip

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	import gzip

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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.jsonl.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset_nested.jsonl.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.join("""nested"""				,  os.path.basename(lowerCamelCase					)					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset_with_dir.jsonl.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.jsonl.tar"""
	with tarfile.TarFile(lowerCamelCase				,  """w"""					) as f:
		f.add(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
		f.add(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset_nested.jsonl.tar"""
	with tarfile.TarFile(lowerCamelCase				,  """w"""					) as f:
		f.add(lowerCamelCase				,  arcname=os.path.join("""nested"""				,  os.path.basename(lowerCamelCase					)					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  ["""0""", """1""", """2""", """3"""]
	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.abc"""
	with open(lowerCamelCase				,  """w"""					) as f:
		for item in data:
			f.write(item + """\n"""					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.text.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset_with_dir.text.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
		f.write(lowerCamelCase				,  arcname=os.path.join("""main_dir"""				,  os.path.basename(lowerCamelCase					)					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.ext.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.basename("""unsupported.ext"""					)					)
		f.write(lowerCamelCase				,  arcname=os.path.basename("""unsupported_2.ext"""					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     ):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     ):




	'''simple docstring'''







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





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data"""					) / """dataset.img.zip"""
	with zipfile.ZipFile(lowerCamelCase				,  """w"""					) as f:
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					)					)
		f.write(lowerCamelCase				,  arcname=os.path.basename(lowerCamelCase					).replace(""".jpg"""				,  """2.jpg"""					)					)
	return path





@pytest.fixture(scope="""session"""					)
def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  tmp_path_factory.mktemp("""data_dir"""					)

	(data_dir / "subdir").mkdir()
	with open(data_dir / """subdir""" / """train.txt"""				,  """w"""					) as f:
		f.write("""foo\n""" * 10					)
	with open(data_dir / """subdir""" / """test.txt"""				,  """w"""					) as f:
		f.write("""bar\n""" * 10					)
	# hidden file
	with open(data_dir / """subdir""" / """.test.txt"""				,  """w"""					) as f:
		f.write("""bar\n""" * 10					)

	# hidden directory
	(data_dir / ".subdir").mkdir()
	with open(data_dir / """.subdir""" / """train.txt"""				,  """w"""					) as f:
		f.write("""foo\n""" * 10					)
	with open(data_dir / """.subdir""" / """test.txt"""				,  """w"""					) as f:
		f.write("""bar\n""" * 10					)

	return data_dir









import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union

import torch
from filelock import FileLock
from torch.utils.data import Dataset

from ...tokenization_utils_base import PreTrainedTokenizerBase
from ...utils import logging
from ..processors.glue import glue_convert_examples_to_features, glue_output_modes, glue_processors
from ..processors.utils import InputFeatures


__UpperCamelCase      :      Any     						=						logging.get_logger(__name__)


@dataclass
class        __UpperCamelCase    :
	__snake_case	:str   =       field(metadata={'help': 'The name of the task to train on: ' + ', '.join(glue_processors.keys()   )}   )
	__snake_case	:str   =       field(
	    metadata={'help': 'The input data dir. Should contain the .tsv files (or other data files) for the task.'}   )
	__snake_case	:int   =       field(
	    default=1_2_8   ,			metadata={
	        'help': (
	            'The maximum total input sequence length after tokenization. Sequences longer '
	            'than this will be truncated, sequences shorter will be padded.'
	        )
	    }   ,			)
	__snake_case	:bool   =       field(
	    default=_lowerCAmelCase   ,			metadata={'help': 'Overwrite the cached training and evaluation sets'}   )







	def  _a   (  self      :							Dict			)		-> List[Any]:
		"""simple docstring"""







		__lowercase             =  self.task_name.lower()


class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:Optional[int]   =       'train'
	__snake_case	:int   =       'dev'
	__snake_case	:Any   =       'test'


class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:GlueDataTrainingArguments
	__snake_case	:str
	__snake_case	:List[InputFeatures]







	def __init__(  self      :							Dict       ,				_lowerCAmelCase      :							GlueDataTrainingArguments       ,				_lowerCAmelCase      :							PreTrainedTokenizerBase       ,				_lowerCAmelCase      :							Optional[int] = None       ,				_lowerCAmelCase      :							Union[str, Split] = Split.train       ,				_lowerCAmelCase      :							Optional[str] = None       ,				)		-> List[Any]:
		"""simple docstring"""







		warnings.warn(
		    """This dataset will be removed from the library soon, preprocessing should be handled with the 🤗 Datasets """
		    """library. You can have a look at this example script for pointers: """
		    """https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py"""       ,				_lowerCAmelCase       ,				)
		__lowercase             =  args
		__lowercase             =  glue_processors[args.task_name]()
		__lowercase             =  glue_output_modes[args.task_name]
		if isinstance(_lowerCAmelCase       ,				_lowerCAmelCase			):
			try:
				__lowercase             =  Split[mode]
			except KeyError:
				raise KeyError("""mode is not a valid split name"""			)
        # Load data features from cache or dataset file
		__lowercase             =  os.path.join(
		    cache_dir if cache_dir is not None else args.data_dir       ,				F'cached_{mode.value}_{tokenizer.__class__.__name__}_{args.max_seq_length}_{args.task_name}'       ,				)
		__lowercase             =  self.processor.get_labels()
		if args.task_name in ["mnli", "mnli-mm"] and tokenizer.__class__.__name__ in (
		    "RobertaTokenizer",
		    "RobertaTokenizerFast",
		    "XLMRobertaTokenizer",
		    "BartTokenizer",
		    "BartTokenizerFast",
		):
			# HACK(label indices are swapped in RoBERTa pretrained model)
			__lowercase       ,						__lowercase             =  label_list[2], label_list[1]
		__lowercase             =  label_list

		# Make sure only the first process in distributed training processes the dataset,
		# and the others will use the cache.
		__lowercase             =  cached_features_file + """.lock"""
		with FileLock(_lowerCAmelCase			):
			if os.path.exists(_lowerCAmelCase			) and not args.overwrite_cache:
				__lowercase             =  time.time()
				__lowercase             =  torch.load(_lowerCAmelCase			)
				logger.info(
				    F'Loading features from cached file {cached_features_file} [took %.3f s]'       ,				time.time() - start			)
			else:
				logger.info(F'Creating features from dataset file at {args.data_dir}'			)

				if mode == Split.dev:
					__lowercase             =  self.processor.get_dev_examples(args.data_dir			)
				elif mode == Split.test:
					__lowercase             =  self.processor.get_test_examples(args.data_dir			)
				else:
					__lowercase             =  self.processor.get_train_examples(args.data_dir			)
				if limit_length is not None:
					__lowercase             =  examples[:limit_length]
				__lowercase             =  glue_convert_examples_to_features(
				    _lowerCAmelCase       ,				_lowerCAmelCase       ,				max_length=args.max_seq_length       ,				label_list=_lowerCAmelCase       ,				output_mode=self.output_mode       ,				)
				__lowercase             =  time.time()
				torch.save(self.features       ,				_lowerCAmelCase			)
				# ^ This seems to take a lot of time so I want to investigate why and how we can improve.
				logger.info(
				    F'Saving features into cached file {cached_features_file} [took {time.time() - start:.3f} s]'			)







	def __len__(  self      :							Dict			)		-> Optional[int]:
		"""simple docstring"""







		return len(self.features			)







	def __getitem__(  self      :							Tuple       ,				_lowerCAmelCase      :							Optional[int]			)		-> InputFeatures:
		"""simple docstring"""







		return self.features[i]







	def  _a   (  self      :							str			)		-> int:
		"""simple docstring"""







		return self.label_list

