





'''simple docstring'''






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





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





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





@require_pil
def    lowercase_   (		lowercase__    ) ->Any:
						with open(lowercase__					,	encoding='utf-8'    ) as f:
												_snake_case: Tuple	       =		f.read().splitlines()[0]
						_snake_case: Optional[Any]	       =		Text(encoding='utf-8'					,	features=Features({'image': Image()}    )    )
						_snake_case: int	       =		text._generate_tables([[text_file_with_image]]    )
						_snake_case: List[Any]	       =		pa.concat_tables([table for _, table in generator]    )
						assert pa_table.schema.field('image'    ).type == Image()()
						_snake_case: List[Any]	       =		pa_table.to_pydict()['image']
						assert generated_content == [{"path": image_file, "bytes": None}]





@pytest.mark.parametrize('sample_by'					,	['line', 'paragraph', 'document']    )
def    lowercase_   (		lowercase__					,	lowercase__    ) ->int:
						with open(lowercase__					,	encoding='utf-8'    ) as f:
												_snake_case: Union[str, Any]	       =		f.read()
						if sample_by == "line":
												_snake_case: Tuple	       =		expected_content.splitlines()
						elif sample_by == "paragraph":
												_snake_case: Union[str, Any]	       =		expected_content.split('\n\n'    )
						elif sample_by == "document":
												_snake_case: Union[str, Any]	       =		[expected_content]
						_snake_case: Dict	       =		Text(sample_by=lowercase__					,	encoding='utf-8'					,	chunksize=100    )
						_snake_case: Tuple	       =		text._generate_tables([[text_file]]    )
						_snake_case: List[str]	       =		pa.concat_tables([table for _, table in generator]    ).to_pydict()['text']
						assert generated_content == expected_content












'''simple docstring'''






import math
from collections.abc import Generator





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)    ))
						for i in (n for n in numbers if n > 1):
												for j in range(2					,	lowercase__    ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)    ))
						for i in (n for n in numbers if n > 1):
												# only need to check for factors up to sqrt(i)
												_snake_case: int	       =		int(math.sqrt(lowercase__    )    ) + 1
												for j in range(2					,	lowercase__    ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)					,	2    ))
						# It's useless to test even numbers as they will not be prime
						if max_n > 2:
												yield 2  # Because 2 will not be tested, it's necessary to yield it now
						for i in (n for n in numbers if n > 1):
												_snake_case: List[str]	       =		int(math.sqrt(lowercase__    )    ) + 1
												for j in range(3					,	lowercase__					,	2    ):
																		# As we removed the even numbers, we don't need them now
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		) ->Optional[int]:
						from timeit import timeit

						_snake_case: Dict	       =		'from __main__ import slow_primes, primes, fast_primes'
						print(timeit('slow_primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )
						print(timeit('primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )
						print(timeit('fast_primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )


if __name__ == "__main__":
		A :			List[str]							   =      int(input('Calculate primes up to:\n>> ').strip())
		for ret in primes(number):
				print(ret)
		benchmark()





