




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__       :					Dict	):





       '''simple docstring'''



       __lowerCamelCase   =						tmp_path / """file.csv"""
       __lowerCamelCase   =						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__       :					str	):





       '''simple docstring'''



       __lowerCamelCase   =						tmp_path / """malformed_file.csv"""
       __lowerCamelCase   =						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__       :					List[str]  ,			A__       :					List[str]	):





       '''simple docstring'''



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




@pytest.fixture
def 					lowerCamelCase__       (						A__       :					List[str]	):





       '''simple docstring'''



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




@pytest.fixture
def 					lowerCamelCase__       (						A__       :					Any	):





       '''simple docstring'''



       __lowerCamelCase   =						tmp_path / """csv_with_int_list.csv"""
       __lowerCamelCase   =						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__       :					Any  ,			A__       :					str  ,			A__       :					Any	):





       '''simple docstring'''



       __lowerCamelCase   =						Csv()
       __lowerCamelCase   =						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__       :					int	):





       '''simple docstring'''



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




def 					lowerCamelCase__       (						A__       :					str	):





       '''simple docstring'''



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




def 					lowerCamelCase__       (						A__       :					Any	):





       '''simple docstring'''



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







from __future__ import annotations




def 					lowerCamelCase__       (						A__       :					list[int | float]  ,			A__       :					int  ,			A__       :					int	):





       '''simple docstring'''



       if len(A__	) == 0:
              raise ValueError("""find_max() arg is an empty sequence"""	)
       if (
           left >= len(A__	)
           or left < -len(A__	)
           or right >= len(A__	)
           or right < -len(A__	)
       ):
              raise IndexError("""list index out of range"""	)
       if left == right:
              return nums[left]
       __lowerCamelCase   =						(left + right) >> 1  # the middle
       __lowerCamelCase   =						find_max(A__  ,			A__  ,			A__	)  # find max in range[left, mid]
       __lowerCamelCase   =						find_max(A__  ,			mid + 1  ,			A__	)  # find max in range[mid + 1, right]

       return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
       import doctest

       doctest.testmod(verbose=True)

