"""simple docstring"""







from math import factorial


def      __lowerCAmelCase(		__UpperCAmelCase = 20			):






	"""simple docstring"""





	_lowercase :    List[str]							=							2 * n  # middle entry of odd rows starting at row 3 is the solution for n = 1,
	# 2, 3,...
	_lowercase :    Tuple							=							n // 2

	return int(factorial(__UpperCAmelCase			) / (factorial(__UpperCAmelCase			) * factorial(n - k			))			)


if __name__ == "__main__":
							import sys

							if len(sys.argv) == 1:
														print(solution(20))
							else:
														try:
																					SCREAMING_SNAKE_CASE									=						int(sys.argv[1])
																					print(solution(n))
														except ValueError:
																					print('Invalid entry - please enter a number.')




"""simple docstring"""







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE									=						{
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						SCREAMING_SNAKE_CASE									=						[
						    'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'BioGptForCausalLM',
						    'BioGptForTokenClassification',
						    'BioGptForSequenceClassification',
						    'BioGptModel',
						    'BioGptPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
						from .tokenization_biogpt import BioGptTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_biogpt import (
												    BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    BioGptForCausalLM,
												    BioGptForSequenceClassification,
												    BioGptForTokenClassification,
												    BioGptModel,
												    BioGptPreTrainedModel,
												)


else:
						import sys

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



