Question about a.any() and a.all() in the _evaluate method

[Atulsingh92]

Hello,

I have a following piece of code within my very long _evaluate method , which has many formulas, one of which is as follows,

plast = 10
while np.abs(Dpf-plast)>1:
    plast = Dpf
    Dpf = all(143.5 * Nr * zeta * pow(Ga,2) * (273+thm) / (P*1e5 - Dpf/2)) #finds Dpf iteratively

here only thm, P are a single valued floats, whereas, others, i.e Nr, zeta, Ga, and Dpf eventually are all
(population_size, ) arrays.

My question is if I run a separate file of my all the formulas that I have now kept inside the _evaluate method, I do not require to give all() or any() in that file, however inside the _evaluate method with those formulas, I get an error to which said use either of the two. Hence you see the all() in the above while loop.

Would this affect the result in anyway, or rather is there a way I could run all the formulas of the _evaluate method, like I would have run in a separate file, i.e. without using any() or all()?

[blankjul]

pymoo does not really care how you obtain the F and G values, as long as you set them correctly to the out array.
You can even call third-party software, run your evaluation on a cluster, and so on. As long as you set them to out when you have obtained all values.