



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       lowerCamelCase_  (    _a       :						Tuple    ):



    '''simple docstring'''




    UpperCAmelCase_     :       Optional[Any]  		=					tmp_path / """text.txt"""
    UpperCAmelCase_     :       Tuple  		=					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(_a   ,		"""w"""   ,		encoding="""utf-8"""    ) as f:
        f.write(_a    )
    return str(_a    )







@pytest.fixture
def       lowerCamelCase_  (    _a       :						List[Any]   ,		_a       :						Tuple    ):



    '''simple docstring'''




    UpperCAmelCase_     :       int  		=					tmp_path / """text_with_image.txt"""
    with open(_a   ,		"""w"""   ,		encoding="""utf-8"""    ) as f:
        f.write(_a    )
    return str(_a    )







@pytest.mark.parametrize("""keep_linebreaks"""   ,		[True, False]    )
def       lowerCamelCase_  (    _a       :						List[str]   ,		_a       :						int    ):



    '''simple docstring'''




    with open(_a   ,		encoding="""utf-8"""    ) as f:
        UpperCAmelCase_     :       str  		=					f.read().splitlines(keepends=_a    )
    UpperCAmelCase_     :       str  		=					Text(keep_linebreaks=_a   ,		encoding="""utf-8"""    )
    UpperCAmelCase_     :       Optional[Any]  		=					text._generate_tables([[text_file]]    )
    UpperCAmelCase_     :       Optional[Any]  		=					pa.concat_tables([table for _, table in generator]    ).to_pydict()["""text"""]
    assert generated_content == expected_content







@require_pil
def       lowerCamelCase_  (    _a       :						Any    ):



    '''simple docstring'''




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







@pytest.mark.parametrize("""sample_by"""   ,		["""line""", """paragraph""", """document"""]    )
def       lowerCamelCase_  (    _a       :						Dict   ,		_a       :						str    ):



    '''simple docstring'''




    with open(_a   ,		encoding="""utf-8"""    ) as f:
        UpperCAmelCase_     :       str  		=					f.read()
    if sample_by == "line":
        UpperCAmelCase_     :       Tuple  		=					expected_content.splitlines()
    elif sample_by == "paragraph":
        UpperCAmelCase_     :       str  		=					expected_content.split("""\n\n"""    )
    elif sample_by == "document":
        UpperCAmelCase_     :       List[str]  		=					[expected_content]
    UpperCAmelCase_     :       List[str]  		=					Text(sample_by=_a   ,		encoding="""utf-8"""   ,		chunksize=100    )
    UpperCAmelCase_     :       Tuple  		=					text._generate_tables([[text_file]]    )
    UpperCAmelCase_     :       Optional[int]  		=					pa.concat_tables([table for _, table in generator]    ).to_pydict()["""text"""]
    assert generated_content == expected_content





import math







def       lowerCamelCase_  (    _a       :						int    ):



    '''simple docstring'''




    if 1 < number < 4:
        # 2 and 3 are primes
        return True
    elif number < 2 or number % 2 == 0 or number % 3 == 0:
        # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
        return False

    # All primes number are in format of 6k +/- 1
    for i in range(5   ,		int(math.sqrt(_a    ) + 1    )   ,		6    ):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True







def       lowerCamelCase_  (    _a       :						int = 6008_5147_5143    ):



    '''simple docstring'''




    try:
        UpperCAmelCase_     :       str  		=					int(_a    )
    except (TypeError, ValueError):
        raise TypeError("""Parameter n must be int or castable to int."""    )
    if n <= 0:
        raise ValueError("""Parameter n must be greater than or equal to one."""    )
    UpperCAmelCase_     :       Optional[int]  		=					0
    if is_prime(_a    ):
        return n
    while n % 2 == 0:
        n //= 2
    if is_prime(_a    ):
        return n
    for i in range(3   ,		int(math.sqrt(_a    )    ) + 1   ,		2    ):
        if n % i == 0:
            if is_prime(n // i    ):
                UpperCAmelCase_     :       Optional[int]  		=					n // i
                break
            elif is_prime(_a    ):
                UpperCAmelCase_     :       str  		=					i
    return max_number


if __name__ == "__main__":
      print(F"{solution() = }")
