Coverage for docs/source/examples/autosweep.py: 100%
34 statements
« prev ^ index » next coverage.py v7.4.0, created at 2024-01-07 22:15 -0500
« prev ^ index » next coverage.py v7.4.0, created at 2024-01-07 22:15 -0500
1"Show autosweep_1d functionality"
2import pickle
3import numpy as np
4import gpkit
5from gpkit import units, Variable, Model
6from gpkit.tools.autosweep import autosweep_1d
7from gpkit.small_scripts import mag
9A = Variable("A", "m**2")
10l = Variable("l", "m")
12m1 = Model(A**2, [A >= l**2 + units.m**2])
13tol1 = 1e-3
14bst1 = autosweep_1d(m1, tol1, l, [1, 10], verbosity=0)
15print(f"Solved after {bst1.nsols:2} passes, cost logtol +/-{bst1.tol:.3g}")
16# autosweep solution accessing
17l_vals = np.linspace(1, 10, 10)
18sol1 = bst1.sample_at(l_vals)
19print(f"values of l: {l_vals}")
20print("values of A: [" +
21 " ".join(f"{n: .1f}" for n in sol1("A").magnitude) + "] " +
22 str(sol1("A").units))
23cost_estimate = sol1["cost"]
24cost_lb, cost_ub = sol1.cost_lb(), sol1.cost_ub()
25print(f"cost lower bound:\n{cost_lb}\n")
26print(f"cost estimate:\n{cost_estimate}\n")
27print(f"cost upper bound:\n{cost_ub}\n")
28# you can evaluate arbitrary posynomials
29np.testing.assert_allclose(mag(2*sol1(A)), mag(sol1(2*A)))
30assert (sol1["cost"] == sol1(A**2)).all()
31# the cost estimate is the logspace mean of its upper and lower bounds
32np.testing.assert_allclose((np.log(mag(cost_lb)) + np.log(mag(cost_ub)))/2,
33 np.log(mag(cost_estimate)))
34# save autosweep to a file and retrieve it
35bst1.save("autosweep.pkl")
36with open ("autosweep.pkl", "rb") as f:
37 bst1_loaded = pickle.load(f)
39# this problem is two intersecting lines in logspace
40m2 = Model(A**2, [A >= (l/3)**2, A >= (l/3)**0.5 * units.m**1.5])
41tol2 = {"mosek_cli": 1e-6, "mosek_conif": 1e-6,
42 "cvxopt": 1e-7}[gpkit.settings["default_solver"]]
43# test Model method
44sol2 = m2.autosweep({l: [1, 10]}, tol2, verbosity=0)
45bst2 = sol2.bst
46print(f"Solved after {bst2.nsols:2} passes, cost logtol +/-{bst2.tol:.3g}")
47print("Table of solutions used in the autosweep:")
48print(bst2.solarray.table())