
"""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 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Dict          =   tmp_path / "file.csv"
		lowerCamelCase					:      List[str]          =   textwrap.dedent(
		    '\\n        header1,header2\n        1,2\n        10,20\n        '      )
		with open(__lowerCamelCase,						'w'      ) as f:
				f.write(__lowerCamelCase      )
		return str(__lowerCamelCase      )
@pytest.fixture
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Union[str, Any]          =   tmp_path / "malformed_file.csv"
		lowerCamelCase					:      Union[str, Any]          =   textwrap.dedent(
		    '\\n        header1,header2\n        1,2\n        10,20,\n        '      )
		with open(__lowerCamelCase,						'w'      ) as f:
				f.write(__lowerCamelCase      )
		return str(__lowerCamelCase      )
@pytest.fixture
def 		UpperCAmelCase (		a_,						a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   tmp_path / "csv_with_image.csv"
		lowerCamelCase					:      List[Any]          =   textwrap.dedent(
		    F"""\
        image
        {image_file}
        """      )
		with open(__lowerCamelCase,						'w'      ) as f:
				f.write(__lowerCamelCase      )
		return str(__lowerCamelCase      )
@pytest.fixture
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Union[str, Any]          =   tmp_path / "csv_with_label.csv"
		lowerCamelCase					:      Any          =   textwrap.dedent(
		    '\\n        label\n        good\n        bad\n        good\n        '      )
		with open(__lowerCamelCase,						'w'      ) as f:
				f.write(__lowerCamelCase      )
		return str(__lowerCamelCase      )
@pytest.fixture
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


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





		'''simple docstring'''


		lowerCamelCase					:      Dict          =   Csv()
		lowerCamelCase					:      List[str]          =   csv._generate_tables([[csv_file, malformed_csv_file]]      )
		with pytest.raises(__lowerCamelCase,						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(__lowerCamelCase      ) in record.message
		    for record in caplog.records      )
@require_pil
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


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





		'''simple docstring'''


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





def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


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








"""simple docstring"""

def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return str(a_      ) == str(a_      )[::-1]
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return int(a_      ) + int(str(a_      )[::-1]      )
def 		UpperCAmelCase (		a_ = 1_0000      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   []
		for num in range(1,						a_      ):
				lowerCamelCase					:      List[str]          =   0
				lowerCamelCase					:      Union[str, Any]          =   num
				while iterations < 50:
						lowerCamelCase					:      Optional[int]          =   sum_reverse(a_      )
						iterations += 1
						if is_palindrome(a_      ):
								break
				else:
						lychrel_nums.append(a_      )
		return len(a_      )


if __name__ == "__main__":
					print(F"""{solution() = }""")






