def create_optimization_result_nan_inf():
"""
Create a result object containing nan and inf function values
"""
# get result with only numbers
result = create_optimization_result()
# append nan and inf
optimizer_result = optimize.OptimizerResult(
fval=float('nan'), x=np.array([float('nan'),
float('nan')]))
result.optimize_result.append(optimizer_result=optimizer_result)
optimizer_result = optimize.OptimizerResult(
fval=-float('inf'), x=np.array([-float('inf'), -float('inf')]))
result.optimize_result.append(optimizer_result=optimizer_result)
return result
def create_optimization_result():
# create the pypesto problem
problem = create_problem()
# write some dummy results for optimization
result = pypesto.Result(problem=problem)
for j in range(0, 3):
optimizer_result = optimize.OptimizerResult(id=str(j),
fval=j * 0.01,
x=np.array(
[j + 0.1, j + 1]))
result.optimize_result.append(optimizer_result=optimizer_result)
for j in range(0, 4):
optimizer_result = optimize.OptimizerResult(
id=str(j + 3),
fval=10 + j * 0.01,
x=np.array([2.5 + j + 0.1, 2 + j + 1]))
result.optimize_result.append(optimizer_result=optimizer_result)
return result