






'''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							:   List[Any]      ):
				a_		:  Optional[Any]											=      tmp_path / '''file.csv'''
				a_		:  List[Any]											=      textwrap.dedent(
				    '''\
        header1,header2
        1,2
        10,20
        '''      )
				with open(__A						,		'''w'''      ) as f:
								f.write(__A      )
				return str(__A      )





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





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





@pytest.fixture
def 		_UpperCAmelCase   (							__A							:   Optional[Any]      ):
				a_		:  Dict											=      tmp_path / '''csv_with_label.csv'''
				a_		:  Dict											=      textwrap.dedent(
				    '''\
        label
        good
        bad
        good
        '''      )
				with open(__A						,		'''w'''      ) as f:
								f.write(__A      )
				return str(__A      )





@pytest.fixture
def 		_UpperCAmelCase   (							__A							:   int      ):
				a_		:  List[str]											=      tmp_path / '''csv_with_int_list.csv'''
				a_		:  str											=      textwrap.dedent(
				    '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        '''      )
				with open(__A						,		'''w'''      ) as f:
								f.write(__A      )
				return str(__A      )





def 		_UpperCAmelCase   (							__A							:   Union[str, Any]						,		__A							:   Optional[int]						,		__A							:   List[Any]      ):
				a_		:  Optional[int]											=      Csv()
				a_		:  Any											=      csv._generate_tables([[csv_file, malformed_csv_file]]      )
				with pytest.raises(__A						,		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(__A      ) in record.message
				    for record in caplog.records      )





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





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





def 		_UpperCAmelCase   (							__A							:   str      ):
				a_		:  Optional[int]											=      Csv(encoding='''utf-8'''						,		sep=''','''						,		converters={'''int_list''': lambda __A      : [int(__A      ) for i in x.split()]}      )
				a_		:  Union[str, Any]											=      csv._generate_tables([[csv_file_with_int_list]]      )
				a_		:  Dict											=      pa.concat_tables([table for _, table in generator]      )
				assert pa.types.is_list(pa_table.schema.field('''int_list'''      ).type      )
				a_		:  List[Any]											=      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 		_UpperCAmelCase   (							__A							:   list[int]      ):
				a_		:  int											=      len(__A      ) // 2

				# choose the middle 3 elements
				a_		:  Dict											=      lst[m - 1 : m + 2]

				# if middle element is peak
				if three[1] > three[0] and three[1] > three[2]:
								return three[1]

				# if increasing, recurse on right
				elif three[0] < three[2]:
								if len(lst[:m]      ) == 2:
												m -= 1
								return peak(lst[m:]      )

				# decreasing
				else:
								if len(lst[:m]      ) == 2:
												m += 1
								return peak(lst[:m]      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()




