




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       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		Dict   )						->							Any:
    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(__UpperCamelCase ,  '''w''' ,  encoding='''utf-8'''   ) as f:
        f.write(__UpperCamelCase   )
    return str(__UpperCamelCase   )




@pytest.fixture
def       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		Any ,  __UpperCamelCase    :		Union[str, Any]   )						->							List[Any]:
    UpperCAmelCase_											=  tmp_path / '''text_with_image.txt'''
    with open(__UpperCamelCase ,  '''w''' ,  encoding='''utf-8'''   ) as f:
        f.write(__UpperCamelCase   )
    return str(__UpperCamelCase   )




@pytest.mark.parametrize('''keep_linebreaks''' ,  [True, False]   )
def       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		Any ,  __UpperCamelCase    :		Any   )						->							int:
    with open(__UpperCamelCase ,  encoding='''utf-8'''   ) as f:
        UpperCAmelCase_											=  f.read().splitlines(keepends=__UpperCamelCase   )
    UpperCAmelCase_											=  Text(keep_linebreaks=__UpperCamelCase ,  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       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		Optional[int]   )						->							Union[str, Any]:
    with open(__UpperCamelCase ,  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       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		Dict ,  __UpperCamelCase    :		List[Any]   )						->							str:
    with open(__UpperCamelCase ,  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=__UpperCamelCase ,  encoding='''utf-8''' ,  chunksize=100   )
    UpperCAmelCase_											=  text._generate_tables([[text_file]]   )
    UpperCAmelCase_											=  pa.concat_tables([table for _, table in generator]   ).to_pydict()['''text''']
    assert generated_content == expected_content











_lowerCamelCase    				=		[
    [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
]




def       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		int ,  __UpperCamelCase    :		int ,  __UpperCamelCase    :		int ,  __UpperCamelCase    :		int   )						->							bool:
    return 0 <= row < rows and 0 <= col < cols




def       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		int ,  __UpperCamelCase    :		int ,  __UpperCamelCase    :		set ,  __UpperCamelCase    :		list[list[int]]   )						->							int:
    UpperCAmelCase_											=  len(__UpperCamelCase   )
    UpperCAmelCase_											=  len(mat[0]   )
    if is_safe(__UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase   ) and (row, col) not in seen and mat[row][col] == 1:
        seen.add((row, col)   )
        return (
            1
            + depth_first_search(row + 1 ,  __UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase   )
            + depth_first_search(row - 1 ,  __UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase   )
            + depth_first_search(__UpperCamelCase ,  col + 1 ,  __UpperCamelCase ,  __UpperCamelCase   )
            + depth_first_search(__UpperCamelCase ,  col - 1 ,  __UpperCamelCase ,  __UpperCamelCase   )
        )
    else:
        return 0




def       SCREAMING_SNAKE_CASE			( __UpperCamelCase    :		list[list[int]]   )						->							int:
    UpperCAmelCase_											=  set()

    UpperCAmelCase_											=  0
    for row, line in enumerate(__UpperCamelCase   ):
        for col, item in enumerate(__UpperCamelCase   ):
            if item == 1 and (row, col) not in seen:
                # Maximizing the area
                UpperCAmelCase_											=  max(__UpperCamelCase ,  depth_first_search(__UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase ,  __UpperCamelCase   )   )
    return max_area


if __name__ == "__main__":
 import doctest

 print(find_max_area(matrix))  # Output -> 6
 doctest.testmod()





