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3.11
The SciPy solvers aren't passed optim.set_max_iterations() correctly at the moment, this is fixed in #224.
optim.set_max_iterations()
@pytest.mark.unit def test_infeasible_solutions(self, cost): # Test infeasible solutions for optimiser in [pybop.SciPyMinimize, pybop.GradientDescent]: optim = pybop.Optimisation( cost=cost, optimiser=optimiser, allow_infeasible_solutions=False ) optim.set_max_iterations(1) optim.run() assert optim._iterations == 1
stochastically returns values > 1
No response
The text was updated successfully, but these errors were encountered:
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Python Version
3.11
Describe the bug
The SciPy solvers aren't passed
optim.set_max_iterations()
correctly at the moment, this is fixed in #224.Steps to reproduce the behaviour
stochastically returns values > 1
Relevant log output
No response
The text was updated successfully, but these errors were encountered: