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Error in Shape Design With Multiple Objectives and Penalty Functions

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Old   July 2, 2024, 07:20
Default Error in Shape Design With Multiple Objectives and Penalty Functions
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Adithya B Nair
Join Date: Jun 2024
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Hello, I am trying to run
Shape Design With Multiple Objectives and Penalty Functions

tutorial in SU2.I am receiving this error.Please help me fix it.


Traceback (most recent call last):
File "/usr/local/bin/shape_optimization.py", line 306, in <module>
main()
File "/usr/local/bin/shape_optimization.py", line 184, in main
shape_optimization(
File "/usr/local/bin/shape_optimization.py", line 282, in shape_optimization
SU2.opt.SLSQP(project, x0, xb, its, accu)
File "/usr/local/bin/SU2/opt/scipy_tools.py", line 128, in scipy_slsqp
outputs = fmin_slsqp(
^^^^^^^^^^^
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_slsqp_py.py", line 210, in fmin_slsqp
res = _minimize_slsqp(func, x0, args, jac=fprime, bounds=bounds,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_slsqp_py.py", line 383, in _minimize_slsqp
sf = _prepare_scalar_function(func, x, jac=jac, args=args, epsilon=eps,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_optimize.py", line 288, in _prepare_scalar_function
sf = ScalarFunction(fun, x0, args, grad, hess,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py", line 185, in __init__
self._update_grad()
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py", line 267, in _update_grad
self._update_grad_impl()
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py", line 175, in update_grad
self.g = grad_wrapped(self.x)
^^^^^^^^^^^^^^^^^^^^
File "/home/adithya/anaconda3/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py", line 172, in grad_wrapped
return np.atleast_1d(grad(np.copy(x), *args))
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/opt/scipy_tools.py", line 434, in obj_df
dobj_list = project.obj_df(x)
^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/opt/project.py", line 248, in obj_df
return self._eval(konfig, func, dvs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/opt/project.py", line 211, in _eval
vals = design._eval(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/eval/design.py", line 151, in _eval
vals = eval_func(*inputs)
^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/eval/design.py", line 365, in obj_df
grad = su2grad(obj_list, grad_method, config, state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/eval/gradients.py", line 97, in gradient
grads = adjoint(func_name, config, state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/bin/SU2/eval/gradients.py", line 214, in adjoint
function(func_name, config, state)
File "/usr/local/bin/SU2/eval/functions.py", line 124, in function
func_out = state["FUNCTIONS"]["COMBO"]
~~~~~~~~~~~~~~~~~~^^^^^^^^^
KeyError: 'COMBO'
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