
"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_lowercase				 =					{
    '''configuration_m2m_100''': ['''M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''M2M100Config''', '''M2M100OnnxConfig'''],
    '''tokenization_m2m_100''': ['''M2M100Tokenizer'''],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''M2M100ForConditionalGeneration''',
		    '''M2M100Model''',
		    '''M2M100PreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
		from .tokenization_mam_aaa import MaMaaaTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mam_aaa import (
				    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaMaaaForConditionalGeneration,
				    MaMaaaModel,
				    MaMaaaPreTrainedModel,
				)


else:
		import sys

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

"""simple docstring"""


import os

# Precomputes a list of the 100 first triangular numbers
_lowercase				 =					[int(0.5 * n * (n + 1)) for n in range(1, 1_01)]






def    _snake_case					(		):
	A     = os.path.dirname(os.path.realpath(snake_case__  )  )
	A     = os.path.join(snake_case__						,   'words.txt'  )

	A     = ''
	with open(snake_case__  ) as f:
		A     = f.readline()

	A     = [word.strip('"'  ) for word in words.strip('\r\n'  ).split(','  )]
	A     = [
	    word
	    for word in [sum(ord(snake_case__  ) - 64 for x in word  ) for word in words]
	    if word in TRIANGULAR_NUMBERS
	]
	return len(snake_case__  )


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