sampling_method='sobol' can't handle constraints with args

[JakobAntonT]

from shgo import shgo import numpy as np

def eggholder(x): return (-(x[1] + 47.0)

• np.sin(np.sqrt(abs(x[0]/2.0 + (x[1] + 47.0))))
• x[0] * np.sin(np.sqrt(abs(x[0] - (x[1] + 47.0)))) )

def f(x): # (cattle-feed) return 24.55x[0] + 26.75x[1] + 39x[2] + 40.50x[3]

def g1(x): return 2.3x[0] + 5.6x[1] + 11.1x[2] + 1.3x[3] - 5 # >=0

def g2(x): return (12x[0] + 11.9x[1] +41.8x[2] + 52.1x[3] - 21

• 1.645 np.sqrt(0.28x[0]*2 + 0.19x[1]**2
  • 20.5*x[2]*2 + 0.62x[3]**2) ) # >=0

def h1(x): return x[0] + x[1] + x[2] + x[3] - 1 # == 0

cons = ({'type': 'ineq', 'fun': g1}, {'type': 'ineq', 'fun': g2}, {'type': 'eq', 'fun': h1}) bounds = [(0, 1.0),]*4 res = shgo(f, bounds, iters=3, constraints=cons) res

################################################## #################### modified ####################

using sampling method sobol

res_sobol = shgo(f, bounds, iters=3, constraints=cons,sampling_method='sobol') res_sobol # still working

using constrain with arguments

def g1_modified(x,i): return i2.3x[0] + i5.6x[1] + 11.1x[2] + 1.3x[3] - 5 # >=0 cons = ({'type': 'ineq', 'fun': g1_modified, "args":(0,)}, {'type': 'ineq', 'fun': g2}, {'type': 'eq', 'fun': h1}) res_modConstr = shgo(f, bounds, iters=3, constraints=cons) res_modConstr #still working

using constrain with arguments AND sampling method sobol

res_modConstr_sobol = shgo(f, bounds, iters=3, constraints=cons,sampling_method='sobol') res_modConstr_sobol #TypeError: g1_modified() missing 1 required positional argument: 'i'

[Stefan-Endres]

Thank you for reporting this issue, it should hopefully not take too long to fix.

[JakobAntonT]

Thanks a lot for your answer. This is my first reported issue, I didnt expect an answer that fast.

[Stefan-Endres]

Fixed with previous commits, apologies for not closing sooner.