




'''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 						SCREAMING_SNAKE_CASE       (      ):
  __a			=					10
  __a			=					datasets.Features(
      {
          'tokens': datasets.Sequence(datasets.Value('string'			)			),
          'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']			)			),
          'answers': datasets.Sequence(
              {
                  'text': datasets.Value('string'			),
                  'answer_start': datasets.Value('int32'			),
              }			),
          'id': datasets.Value('int64'			),
      }			)
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							Tuple			):
  __a			=					str(tmp_path_factory.mktemp('data'			) / 'file.arrow'			)
  dataset.map(cache_file_name=a_			)
  return filename


# FILE_CONTENT + files


UpperCAmelCase_ 		=      "\\n    Text data.\n    Second line of data."


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  __a			=					tmp_path_factory.mktemp('data'			) / 'file.txt'
  __a			=					FILE_CONTENT
  with open(a_				,					'w'			) as f:
    f.write(a_			)
  return filename


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Dict			):
  import bza

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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Dict			):
  import gzip

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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  if datasets.config.LZ4_AVAILABLE:
    import lza.frame

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


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

    __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Dict				,					a_	:							int			):
  import tarfile

  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Dict			):
  import lzma

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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]				,					a_	:							Dict			):
  import zipfile

  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]			):
  if datasets.config.ZSTANDARD_AVAILABLE:
    import zstandard as zstd

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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  __a			=					tmp_path_factory.mktemp('data'			) / 'file.xml'
  __a			=					textwrap.dedent(
      '\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'			)
  with open(a_				,					'w'			) as f:
    f.write(a_			)
  return filename


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

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

UpperCAmelCase_ 		=      [
    {"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 						SCREAMING_SNAKE_CASE       (      ):
  return DATA_DICT_OF_LISTS


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  __a			=					datasets.Dataset.from_dict(a_			)
  __a			=					str(tmp_path_factory.mktemp('data'			) / 'dataset.arrow'			)
  dataset.map(cache_file_name=a_			)
  return path


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]			):
  __a			=					str(tmp_path_factory.mktemp('data'			) / 'dataset.sqlite'			)
  with contextlib.closing(sqlitea.connect(a_			)			) as con:
    __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Dict			):
  __a			=					str(tmp_path_factory.mktemp('data'			) / 'dataset.csv'			)
  with open(a_				,					'w'				,					newline=''			) as f:
    __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]			):
  __a			=					str(tmp_path_factory.mktemp('data'			) / 'dataset2.csv'			)
  with open(a_				,					'w'				,					newline=''			) as f:
    __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[Any]				,					a_	:							int			):
  import bza

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


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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]			):
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Any			):
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]			):
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]				,					a_	:							Union[str, Any]			):
  import gzip

  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							Union[str, Any]				,					a_	:							Union[str, Any]			):
  import gzip

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


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


@pytest.fixture(scope='session'			)
def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple				,					a_	:							List[Any]			):
  __a			=					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 						SCREAMING_SNAKE_CASE       (      a_	:							List[Any]			):
  __a			=					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 os


def 						SCREAMING_SNAKE_CASE       (      ):
  with open(os.path.dirname(a_			) + '/grid.txt'			) as f:
    __a			=					[]  # noqa: E741
    for _ in range(20			):
      l.append([int(a_			) for x in f.readline().split()]			)

    __a			=					0

    # right
    for i in range(20			):
      for j in range(17			):
        __a			=					l[i][j] * l[i][j + 1] * l[i][j + 2] * l[i][j + 3]
        if temp > maximum:
          __a			=					temp

        # down
    for i in range(17			):
      for j in range(20			):
        __a			=					l[i][j] * l[i + 1][j] * l[i + 2][j] * l[i + 3][j]
        if temp > maximum:
          __a			=					temp

        # diagonal 1
    for i in range(17			):
      for j in range(17			):
        __a			=					l[i][j] * l[i + 1][j + 1] * l[i + 2][j + 2] * l[i + 3][j + 3]
        if temp > maximum:
          __a			=					temp

        # diagonal 2
    for i in range(17			):
      for j in range(3				,					20			):
        __a			=					l[i][j] * l[i + 1][j - 1] * l[i + 2][j - 2] * l[i + 3][j - 3]
        if temp > maximum:
          __a			=					temp
    return maximum


if __name__ == "__main__":
  print(solution())



