Closed miguelgfierro closed 11 months ago
=================================== FAILURES =================================== _______ [doctest] pybase.optimization.downhill_simplex.optimize_function _______ 017 018 Returns: 019 np.array: Result of the optimization. 020 float: Value of function at minimum. 021 022 Examples: 023 >>> from .functions import rosenbrock 024 >>> x0 = np.array([0, 0, 0, 0, 0]) 025 >>> xopt, fopt = optimize_function(rosenbrock, x0) 026 >>> xopt # Real solution [1,1,1,1,1] Expected: array([0.9999974 , 0.99999158, 0.99998042, 0.999[96](https://github.com/miguelgfierro/pybase/actions/runs/6559839765/job/17816243441?pr=73#step:7:97)58 , 0.99993196]) Got: array([1.00002005, 1.00004272, 1.00005929, 1.0000[98](https://github.com/miguelgfierro/pybase/actions/runs/6559839765/job/17816243441?pr=73#step:7:99)4 , 1.00020735])
https://github.com/miguelgfierro/pybase/pull/78