BUG: optimize.minimize: corruption/segfault with constraints #14915
Description
Describe your issue.
When minimizing with scipy.optimize.minimize it crashes python (kernel), with a corruption error.
This only happens when constraints are active with SLSQP.
I also tried scipy 1.7-1.6, but it has the same issue. Also found this issue which might be related: #14159
Reproducing Code Example
import numpy as np
import scipy.optimize as sco
x = np.random.rand(22,365)
target = np.linspace(0.9, 4.0, 50)
def metric(v, weights):
return [[0, 0],[1, 1]]
def efficient_metric(v, target):
def metric_a(weights):
return metric(v, weights)[1][0]
def metric_b(weights, v):
return metric(v, weights)[0][0]
constraints = ({'type': 'eq', 'fun': lambda x: metric_a(x) - target},
{'type': 'eq', 'fun': lambda x: np.sum(x) - 1})
weights = np.array([len(v)*[1./len(v)]])
result = sco.minimize(metric_b, weights, args=(v,),
method='SLSQP', constraints=constraints)
return result
efficient_metric(x, target)Error message
corrupted size vs. prev_size
OR
corrupted double-linked list
OR
double free or corruption (!prev)SciPy/NumPy/Python version information
1.7.1 1.21.3 sys.version_info(major=3, minor=9, micro=2, releaselevel='final', serial=0)