





"""simple docstring"""







import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil

@pytest.fixture
def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	tmp_path / 'file.csv'
      UpperCAmelCase          =	textwrap.dedent(
          """\\n        header1,header2\n        1,2\n        10,20\n        """							)
      with open(lowercase__				,	"""w"""							) as f:
            f.write(lowercase__							)
      return str(lowercase__							)

@pytest.fixture
def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	tmp_path / 'malformed_file.csv'
      UpperCAmelCase          =	textwrap.dedent(
          """\\n        header1,header2\n        1,2\n        10,20,\n        """							)
      with open(lowercase__				,	"""w"""							) as f:
            f.write(lowercase__							)
      return str(lowercase__							)

@pytest.fixture
def _a			(		_snake_case				,	_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	tmp_path / 'csv_with_image.csv'
      UpperCAmelCase          =	textwrap.dedent(
          F'''\
        image
        {image_file}
        '''							)
      with open(lowercase__				,	"""w"""							) as f:
            f.write(lowercase__							)
      return str(lowercase__							)

@pytest.fixture
def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	tmp_path / 'csv_with_label.csv'
      UpperCAmelCase          =	textwrap.dedent(
          """\\n        label\n        good\n        bad\n        good\n        """							)
      with open(lowercase__				,	"""w"""							) as f:
            f.write(lowercase__							)
      return str(lowercase__							)

@pytest.fixture
def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	tmp_path / 'csv_with_int_list.csv'
      UpperCAmelCase          =	textwrap.dedent(
          """\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        """							)
      with open(lowercase__				,	"""w"""							) as f:
            f.write(lowercase__							)
      return str(lowercase__							)

def _a			(		_snake_case				,	_snake_case				,	_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	Csv()
      UpperCAmelCase          =	csv._generate_tables([[csv_file, malformed_csv_file]]							)
      with pytest.raises(lowercase__				,	match="""Error tokenizing data"""							):
            for _ in generator:
                  pass
      assert any(
          record.levelname == """ERROR"""
          and """Failed to read file""" in record.message
          and os.path.basename(lowercase__							) in record.message
          for record in caplog.records							)

@require_pil
def _a			(		_snake_case							):







      """simple docstring"""






      with open(lowercase__				,	encoding="""utf-8"""							) as f:
            UpperCAmelCase          =	f.read().splitlines()[1]
      UpperCAmelCase          =	Csv(encoding="""utf-8"""				,	features=Features({"""image""": Image()}							)							)
      UpperCAmelCase          =	csv._generate_tables([[csv_file_with_image]]							)
      UpperCAmelCase          =	pa.concat_tables([table for _, table in generator]							)
      assert pa_table.schema.field("""image"""							).type == Image()()
      UpperCAmelCase          =	pa_table.to_pydict()['image']
      assert generated_content == [{"path": image_file, "bytes": None}]

def _a			(		_snake_case							):







      """simple docstring"""






      with open(lowercase__				,	encoding="""utf-8"""							) as f:
            UpperCAmelCase          =	f.read().splitlines()[1:]
      UpperCAmelCase          =	Csv(encoding="""utf-8"""				,	features=Features({"""label""": ClassLabel(names=["""good""", """bad"""]							)}							)							)
      UpperCAmelCase          =	csv._generate_tables([[csv_file_with_label]]							)
      UpperCAmelCase          =	pa.concat_tables([table for _, table in generator]							)
      assert pa_table.schema.field("""label"""							).type == ClassLabel(names=["""good""", """bad"""]							)()
      UpperCAmelCase          =	pa_table.to_pydict()['label']
      assert generated_content == [ClassLabel(names=["""good""", """bad"""]							).straint(lowercase__							) for label in labels]






def _a			(		_snake_case							):







      """simple docstring"""






      UpperCAmelCase          =	Csv(encoding="""utf-8"""				,	sep=""","""				,	converters={"""int_list""": lambda _snake_case							: [int(lowercase__							) for i in x.split()]}							)
      UpperCAmelCase          =	csv._generate_tables([[csv_file_with_int_list]]							)
      UpperCAmelCase          =	pa.concat_tables([table for _, table in generator]							)
      assert pa.types.is_list(pa_table.schema.field("""int_list"""							).type							)
      UpperCAmelCase          =	pa_table.to_pydict()['int_list']
      assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]











"""simple docstring"""







from __future__ import annotations

def _a			(		_snake_case				,	_snake_case = None				,	_snake_case = None							):







      """simple docstring"""






      if start is None:
            UpperCAmelCase          =	0

      if end is None:
            UpperCAmelCase          =	len(_snake_case							) - 1

      if start >= end:
            return

      UpperCAmelCase          =	(start + end) // 2

      slowsort(_snake_case				,	_snake_case				,	_snake_case							)
      slowsort(_snake_case				,	mid + 1				,	_snake_case							)

      if sequence[end] < sequence[mid]:
            UpperCAmelCase      , UpperCAmelCase          =	sequence[mid], sequence[end]

      slowsort(_snake_case				,	_snake_case				,	end - 1							)


if __name__ == "__main__":
  from doctest import testmod

  testmod()



