

import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil


@pytest.fixture
def  __a    (				SCREAMING_SNAKE_CASE ) ->       Optional[int]:






    '''simple docstring'''
    __UpperCAmelCase			   =     tmp_path / '''text.txt'''
    __UpperCAmelCase			   =     textwrap.dedent(
        '''\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        ''' )
    with open(SCREAMING_SNAKE_CASE    ,				'''w'''    ,				encoding='''utf-8''' ) as f:
        f.write(SCREAMING_SNAKE_CASE )
    return str(SCREAMING_SNAKE_CASE )


@pytest.fixture
def  __a    (				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE ) ->       Any:






    '''simple docstring'''
    __UpperCAmelCase			   =     tmp_path / '''text_with_image.txt'''
    with open(SCREAMING_SNAKE_CASE    ,				'''w'''    ,				encoding='''utf-8''' ) as f:
        f.write(SCREAMING_SNAKE_CASE )
    return str(SCREAMING_SNAKE_CASE )


@pytest.mark.parametrize('''keep_linebreaks'''    ,				[True, False] )
def  __a    (				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE ) ->       List[Any]:






    '''simple docstring'''
    with open(SCREAMING_SNAKE_CASE    ,				encoding='''utf-8''' ) as f:
        __UpperCAmelCase			   =     f.read().splitlines(keepends=SCREAMING_SNAKE_CASE )
    __UpperCAmelCase			   =     Text(keep_linebreaks=SCREAMING_SNAKE_CASE    ,				encoding='''utf-8''' )
    __UpperCAmelCase			   =     text._generate_tables([[text_file]] )
    __UpperCAmelCase			   =     pa.concat_tables([table for _, table in generator] ).to_pydict()['''text''']
    assert generated_content == expected_content


@require_pil
def  __a    (				SCREAMING_SNAKE_CASE ) ->       List[Any]:






    '''simple docstring'''
    with open(SCREAMING_SNAKE_CASE    ,				encoding='''utf-8''' ) as f:
        __UpperCAmelCase			   =     f.read().splitlines()[0]
    __UpperCAmelCase			   =     Text(encoding='''utf-8'''    ,				features=Features({'''image''': Image()} ) )
    __UpperCAmelCase			   =     text._generate_tables([[text_file_with_image]] )
    __UpperCAmelCase			   =     pa.concat_tables([table for _, table in generator] )
    assert pa_table.schema.field('''image''' ).type == Image()()
    __UpperCAmelCase			   =     pa_table.to_pydict()['''image''']
    assert generated_content == [{"path": image_file, "bytes": None}]


@pytest.mark.parametrize('''sample_by'''    ,				['''line''', '''paragraph''', '''document'''] )
def  __a    (				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE ) ->       Optional[Any]:






    '''simple docstring'''
    with open(SCREAMING_SNAKE_CASE    ,				encoding='''utf-8''' ) as f:
        __UpperCAmelCase			   =     f.read()
    if sample_by == "line":
        __UpperCAmelCase			   =     expected_content.splitlines()
    elif sample_by == "paragraph":
        __UpperCAmelCase			   =     expected_content.split('''\n\n''' )
    elif sample_by == "document":
        __UpperCAmelCase			   =     [expected_content]
    __UpperCAmelCase			   =     Text(sample_by=SCREAMING_SNAKE_CASE    ,				encoding='''utf-8'''    ,				chunksize=1_0_0 )
    __UpperCAmelCase			   =     text._generate_tables([[text_file]] )
    __UpperCAmelCase			   =     pa.concat_tables([table for _, table in generator] ).to_pydict()['''text''']
    assert generated_content == expected_content







def  __a    (				SCREAMING_SNAKE_CASE ) ->       float:






    '''simple docstring'''
    return -num if num < 0 else num


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_min() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs_val(SCREAMING_SNAKE_CASE ) < abs_val(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs(SCREAMING_SNAKE_CASE ) > abs(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max_sort() arg is an empty sequence''' )
    return sorted(SCREAMING_SNAKE_CASE    ,				key=SCREAMING_SNAKE_CASE )[-1]


def  __a    (				) ->       Union[str, Any]:






    '''simple docstring'''
    assert abs_val(0 ) == 0
    assert abs_val(3_4 ) == 3_4
    assert abs_val(-1_0_0_0_0_0_0_0_0_0_0_0 ) == 1_0_0_0_0_0_0_0_0_0_0_0

    __UpperCAmelCase			   =     [-3, -1, 2, -1_1]
    assert abs_max(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_max_sort(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_min(SCREAMING_SNAKE_CASE ) == -1


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       test_abs_val()
       print(abs_val(-34))  # --> 34




