Python "Getting Started" complete example

import clarabel
import numpy as np
from scipy import sparse

# Define problem data
P = sparse.csc_matrix(
        [[3., 1., -1.],
         [1., 4.,  2.],
         [-1., 2.,  5.]])

P = sparse.triu(P).tocsc()

q = np.array([1., 2., -3.])

# equality constraint
Aeq = sparse.csc_matrix([1., 1., -1])
beq = np.array([1.])

# equality constraint
Aineq = sparse.csc_matrix(
        [[0., 1., 0.],
         [0., 0., 1.]])

bineq = np.array([2., 2.])

# SOC constraint
Asoc = -sparse.identity(3)
bsoc = np.array([0., 0., 0.])

# Clarabel constraint data
A = sparse.vstack([Aeq, Aineq, Asoc]).tocsc()
b = np.concatenate([beq, bineq, bsoc])

cones = [clarabel.ZeroConeT(1),
         clarabel.NonnegativeConeT(2),
         clarabel.SecondOrderConeT(3)]

settings = clarabel.DefaultSettings()
settings.verbose = True
settings.time_limit = 5.

solver = clarabel.DefaultSolver(P, q, A, b, cones, settings)

solver.solve()