



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				(UpperCamelCase		:      Tuple )  ->Tuple:



			'''simple docstring'''







			lowerCamelCase__ :      Any								=		tmp_path / """file.csv"""
			lowerCamelCase__ :      Union[str, Any]								=		textwrap.dedent(
			    """\
        header1,header2
        1,2
        10,20
        """ )
			with open(UpperCamelCase      ,			"""w""" ) as f:
						f.write(UpperCamelCase )
			return str(UpperCamelCase )






@pytest.fixture
def      _A				(UpperCamelCase		:      int )  ->int:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		tmp_path / """malformed_file.csv"""
			lowerCamelCase__ :      Optional[int]								=		textwrap.dedent(
			    """\
        header1,header2
        1,2
        10,20,
        """ )
			with open(UpperCamelCase      ,			"""w""" ) as f:
						f.write(UpperCamelCase )
			return str(UpperCamelCase )






@pytest.fixture
def      _A				(UpperCamelCase		:      Optional[int]      ,			UpperCamelCase		:      Dict )  ->int:



			'''simple docstring'''







			lowerCamelCase__ :      List[Any]								=		tmp_path / """csv_with_image.csv"""
			lowerCamelCase__ :      List[str]								=		textwrap.dedent(
			    f"\\n        image\n        {image_file}\n        " )
			with open(UpperCamelCase      ,			"""w""" ) as f:
						f.write(UpperCamelCase )
			return str(UpperCamelCase )






@pytest.fixture
def      _A				(UpperCamelCase		:      List[str] )  ->List[Any]:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		tmp_path / """csv_with_label.csv"""
			lowerCamelCase__ :      List[str]								=		textwrap.dedent(
			    """\
        label
        good
        bad
        good
        """ )
			with open(UpperCamelCase      ,			"""w""" ) as f:
						f.write(UpperCamelCase )
			return str(UpperCamelCase )






@pytest.fixture
def      _A				(UpperCamelCase		:      str )  ->Any:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		tmp_path / """csv_with_int_list.csv"""
			lowerCamelCase__ :      int								=		textwrap.dedent(
			    """\
        int_list
        1 2 3
        4 5 6
        7 8 9
        """ )
			with open(UpperCamelCase      ,			"""w""" ) as f:
						f.write(UpperCamelCase )
			return str(UpperCamelCase )






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      Tuple      ,			UpperCamelCase		:      Optional[int] )  ->Optional[Any]:



			'''simple docstring'''







			lowerCamelCase__ :      List[Any]								=		Csv()
			lowerCamelCase__ :      List[Any]								=		csv._generate_tables([[csv_file, malformed_csv_file]] )
			with pytest.raises(UpperCamelCase      ,			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(UpperCamelCase ) in record.message
			    for record in caplog.records )






@require_pil
def      _A				(UpperCamelCase		:      List[Any] )  ->Optional[Any]:



			'''simple docstring'''







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






def      _A				(UpperCamelCase		:      Tuple )  ->Optional[Any]:



			'''simple docstring'''







			with open(UpperCamelCase      ,			encoding="""utf-8""" ) as f:
						lowerCamelCase__ :      str								=		f.read().splitlines()[1:]
			lowerCamelCase__ :      Tuple								=		Csv(encoding="""utf-8"""      ,			features=Features({"""label""": ClassLabel(names=["""good""", """bad"""] )} ) )
			lowerCamelCase__ :      Optional[Any]								=		csv._generate_tables([[csv_file_with_label]] )
			lowerCamelCase__ :      List[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(UpperCamelCase ) for label in labels]






def      _A				(UpperCamelCase		:      Optional[Any] )  ->Optional[int]:



			'''simple docstring'''







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








def      _A				(UpperCamelCase		:      List[Any]      ,			UpperCamelCase		:      Dict )  ->List[str]:



			'''simple docstring'''







			lowerCamelCase__ :      int								=		[1]
			for i in range(2      ,			UpperCamelCase ):
						factorials.append(factorials[-1] * i )
			assert 0 <= k < factorials[-1] * n, "k out of bounds"

			lowerCamelCase__ :      Union[str, Any]								=		[]
			lowerCamelCase__ :      Optional[Any]								=		list(range(UpperCamelCase ) )

			# Find permutation
			while factorials:
						lowerCamelCase__ :      Union[str, Any]								=		factorials.pop()
						lowerCamelCase__							,lowerCamelCase__ :      Union[str, Any]								=		divmod(UpperCamelCase      ,			UpperCamelCase )
						permutation.append(elements[number] )
						elements.remove(elements[number] )
			permutation.append(elements[0] )

			return permutation


if __name__ == "__main__":
				import doctest

				doctest.testmod()



