
'''simple docstring'''







def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	list:
	_snake_case   						=		len(__A	)
	_snake_case   						=		[[0] * n for i in range(__A	)]
	for i in range(__A	):
		_snake_case   						=		y_points[i]

	for i in range(2			,				__A	):
		for j in range(__A			,				__A	):
			_snake_case   						=		(
			    (xa - x_points[j - i + 1]) * q[j][i - 1]
			    - (xa - x_points[j]) * q[j - 1][i - 1]
			) / (x_points[j] - x_points[j - i + 1])

	return [q[n - 1][n - 1], q]


if __name__ == "__main__":
					import doctest

					doctest.testmod()



'''simple docstring'''







from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
					from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline

