






def 					snake_case	(  lowerCamelCase = 2_000_000       ):




	'''simple docstring'''







	__lowercase   							=	[0 for i in range(n + 1       )]
	__lowercase   							=	1
	__lowercase   							=	1

	for i in range(2					,	int(n**0.5       ) + 1       ):
		if primality_list[i] == 0:
			for j in range(i * i					,	n + 1					,	lowerCamelCase       ):
				__lowercase   							=	1
	__lowercase   							=	0
	for i in range(lowerCamelCase       ):
		if primality_list[i] == 0:
			sum_of_primes += i
	return sum_of_primes


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







'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a    :							Tuple										=    {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a    :							str										=    [
							    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'EncodecModel',
							    'EncodecPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_encodec import (
							    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    EncodecConfig,
							)
							from .feature_extraction_encodec import EncodecFeatureExtractor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encodec import (
														    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
														    EncodecModel,
														    EncodecPreTrainedModel,
														)

else:
							import sys

							a    :							List[Any]										=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

