
def 						__magic_name__			(   ):



     '''simple docstring'''




     for n in range(1	,		1_000_000						):
          yield n * (n + 1) // 2






def 						__magic_name__			(   __a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    1
     UpperCamelCase__				=    2
     while i * i <= n:
          UpperCamelCase__				=    0
          while n % i == 0:
               n //= i
               multiplicity += 1
          divisors_count *= multiplicity + 1
          i += 1
     if n > 1:
          divisors_count *= 2
     return divisors_count






def 						__magic_name__			(   ):



     '''simple docstring'''




     return next(i for i in triangle_number_generator() if count_divisors(__a						) > 500						)


if __name__ == "__main__":
    print(solution())







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_						     =					{
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_						     =					[
        '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''GitForCausalLM''',
        '''GitModel''',
        '''GitPreTrainedModel''',
        '''GitVisionModel''',
    ]

if TYPE_CHECKING:
    from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
    from .processing_git import GitProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )

else:
    import sys

    lowerCamelCase_						     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





