



'''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 lowerCAmelCase						(__A):



     """simple docstring"""



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




@pytest.fixture
def lowerCAmelCase						(__A):



     """simple docstring"""



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




@pytest.fixture
def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



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




@pytest.fixture
def lowerCAmelCase						(__A):



     """simple docstring"""



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




@pytest.fixture
def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						tmp_path / '''csv_with_int_list.csv'''
     _a											=						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 lowerCAmelCase						(__A						,			__A						,			__A):



     """simple docstring"""



     _a											=						Csv()
     _a											=						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 lowerCAmelCase						(__A):



     """simple docstring"""



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




def lowerCAmelCase						(__A):



     """simple docstring"""



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




def lowerCAmelCase						(__A):



     """simple docstring"""



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








'''simple docstring'''





from __future__ import annotations

import math




def lowerCAmelCase						(__A						,			__A						,			__A						,			__A						,			__A):



     """simple docstring"""



     if depth < 0:
          raise ValueError('''Depth cannot be less than 0''')

     if not scores:
          raise ValueError('''Scores cannot be empty''')

     if depth == height:
          return scores[node_index]

     return (
         max(
             minimax(depth + 1						,			node_index * 2						,			__A						,			__A						,			__A)						,			minimax(depth + 1						,			node_index * 2 + 1						,			__A						,			__A						,			__A)						,			)
         if is_max
         else min(
             minimax(depth + 1						,			node_index * 2						,			__A						,			__A						,			__A)						,			minimax(depth + 1						,			node_index * 2 + 1						,			__A						,			__A						,			__A)						,			)
     )




def lowerCAmelCase						():



     """simple docstring"""



     _a											=						[90, 23, 6, 33, 21, 65, 123, 34_423]
     _a											=						math.log(len(__A)						,			2)
     print(F'''Optimal value : {minimax(0						,			0						,			__A						,			__A						,			__A)}''')


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()



