


import math
from collections.abc import Iterator
from itertools import takewhile




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    bool:




						'''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(lowercase_			) + 1			)			,					6			):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True




def 						__SCREAMING_SNAKE_CASE       (					)		->    Iterator[int]:




						'''simple docstring'''







						__UpperCAmelCase :       List[Any]  						=  2
						while True:
												if is_prime(lowercase_			):
																		yield num
												num += 1




def 						__SCREAMING_SNAKE_CASE       (					lowercase_ = 2000000			)		->    int:




						'''simple docstring'''







						return sum(takewhile(lambda lowercase_			: x < n			,					prime_generator()			)			)


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





import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase							=						["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    str:




						'''simple docstring'''







						for item in items:
												if any(marker in item.keywords for marker in ['''integration''', '''unit''']			):
																		continue
												item.add_marker(pytest.mark.unit			)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Tuple:




						'''simple docstring'''







						config.addinivalue_line('''markers'''			,					'''torchaudio_latest: mark test to run with torchaudio>=0.12'''			)




@pytest.fixture(autouse=lowercase_			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    Dict:




						'''simple docstring'''







						__UpperCAmelCase :       Dict  						=  tmp_path_factory.getbasetemp() / '''cache'''
						__UpperCAmelCase :       List[Any]  						=  test_hf_cache_home / '''datasets'''
						__UpperCAmelCase :       Union[str, Any]  						=  test_hf_cache_home / '''metrics'''
						__UpperCAmelCase :       List[Any]  						=  test_hf_cache_home / '''modules'''
						monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''			,					str(lowercase_			)			)
						monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''			,					str(lowercase_			)			)
						monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''			,					str(lowercase_			)			)
						__UpperCAmelCase :       Any  						=  test_hf_datasets_cache / '''downloads'''
						monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''			,					str(lowercase_			)			)
						__UpperCAmelCase :       List[Any]  						=  test_hf_datasets_cache / '''downloads''' / '''extracted'''
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''			,					str(lowercase_			)			)




@pytest.fixture(autouse=lowercase_			,					scope='''session'''			)
def 						__SCREAMING_SNAKE_CASE       (					)		->    str:




						'''simple docstring'''







						datasets.disable_progress_bar()




@pytest.fixture(autouse=lowercase_			)
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Tuple:




						'''simple docstring'''







						monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''			,					lowercase_			)





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    List[str]:




						'''simple docstring'''







						monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''			,					lowercase_			)

