def testOrbit(self):
Ms = 1.98847 * 10**30 # kg
# M_earth = 5.9722 * 10**24 # kg
Mj = 1.899 * 10**27 # kg
Rj = 778.3 * 10**9 # m
Tj = 3.743 * 10**8 # s
# V_earth = 30 * 10**3 # m/s
# r = 149.6 * 10**9 # m
vel = 2 * pi * Rj / Tj
sun_x = np.zeros(3)
sun_v = np.zeros(3)
jup_x = np.zeros(3)
jup_v = np.zeros(3)
jup_x[0] = Rj
jup_v[1] = vel
m = [Ms, Mj]
v = np.concatenate((sun_x, jup_x, sun_v, jup_v)).reshape(-1)
sys = NBodySystem(m)
solver = SystemSolver(sys)
res = solver.run([0, Tj * 1.5], v)
solver.plotnd(res)
def testTwoPoints(self):
# using IC from TODO
sys = NBodySystem(body_masses=[1, 1], G=1)
solver = SystemSolver(sys)
max_t = 52
tspan = [0, max_t]
y0 = np.zeros(2 * sys.body_dim * len(sys.body_masses),
dtype=np.float64)
y0[0:3] = [1, 0, 0]
y0[3:6] = [-1, 0, 0]
y0[6:9] = [0, .1, 0]
y0[9:12] = [0, -.1, 0]
run = solver.run(tspan, y0)
# print()
# print(*y0)
# print(*run['results'].y[:, -1])
# clearFigs()
# fig = solver.plotnd(run)
# for axes in fig.axes:
# axes.plot(np.zeros_like(run['results'].y[0]))
t = run['results'].t
y = run['results'].y
# print(t.shape, y.shape)
# print(t[-1], max_t)
y0 = y[0]
y1 = y[3]
clearFigs()
plt.figure()
plt.plot(t, y0)
plt.plot(t, y1)
def testFig8(self):
# using IC from TODO
sys = NBodySystem(body_masses=[1, 1, 1], G=1)
solver = SystemSolver(sys)
tspan = [0, 10]
y0 = np.zeros(2 * sys.body_dim * len(sys.body_masses),
dtype=np.float64)
x1 = np.array([0.97000436, -0.24308753, 0])
x3p = np.array([-0.93240737, -0.86473146, 0])
y0[0:3] = x1
y0[3:6] = -x1
y0[6:9] = 0
y0[9:12] = -x3p / 2
y0[12:15] = -x3p / 2
y0[15:18] = x3p
# print(sys.fun(np.zeros_like(y0), y0).reshape(6, -1))
run = solver.run(tspan, y0)
clearFigs()
solver.plotnd(run)
# print(run['results'].y[:, -1].reshape(6, -1))
y_act = run['results'].y[:9]
run['results'].y = y_act[:3]
fig = solver.plot3d(run)
run['results'].y = y_act[3:6]
fig = solver.plot3d(run, fig=fig)
run['results'].y = y_act[6:9]
fig = solver.plot3d(run, fig=fig)
def testFig8Lce(self): # takes a long time, so its disabled
sys = NBodySystem(body_masses=[1, 1, 1], G=1)
solver = SystemSolver(sys)
tspan = [0, 1.5]
y0 = np.zeros(2 * sys.body_dim * len(sys.body_masses),
dtype=np.float64)
x1 = np.array([0.97000436, -0.24308753, 0])
x3p = np.array([-0.93240737, -0.86473146, 0])
y0[0:3] = x1
y0[3:6] = -x1
y0[6:9] = 0
y0[9:12] = -x3p / 2
y0[12:15] = -x3p / 2
y0[15:18] = x3p
# print(sys.fun(np.zeros_like(y0), y0).reshape(6, -1))
lce, run = solver.get_lce(tspan[1], y0)
t = run['results'].t[1:]
y = run['results'].y[sys.dim:, 1:].reshape(sys.dim, sys.dim, -1)
#print(y[:, :, -1])
lces = []
for i, t_val in enumerate(t):
Df_y = y[:, :, i]
lces.append(solver.calc_lce(Df_y, t_val))
print(lces[-1])
print(np.mean(lces[-5:]))
clearFigs()
plt.figure()
plt.plot(t, lces)
plt.show(True)
def testRandomInit(self):
sys = NBodySystem(body_masses=[1, 1, 1], G=1)
solver = SystemSolver(sys)
tspan = [0, 100]
expand = 10
y0 = np.random.rand(2 * sys.body_dim * len(sys.body_masses)) * expand
y0[9:] /= expand / 2
total_mass = np.sum(sys.body_masses)
vcm = np.zeros(3)
for m, v in zip(sys.body_masses, y0[9:].reshape(3, -1)):
vcm += m * v
vcm /= total_mass
yps = y0[9:].reshape(3, -1)
yps -= vcm[None, :]
run = solver.run(tspan, y0)
clearFigs()
solver.plotnd(run)
# print(run['results'].y[:, -1].reshape(6, -1))
y_act = run['results'].y[:9]
run['results'].y = y_act[:3]
fig = solver.plot3d(run)
run['results'].y = y_act[3:6]
fig = solver.plot3d(run, fig=fig)
run['results'].y = y_act[6:9]
fig = solver.plot3d(run, fig=fig)
plt.show(True)
def testWeirdLenSys(self):
sys = DoublePendulumSystem(1, 2, .5, 1.5)
slv = SystemSolver(sys)
tf = 3
run1 = slv.run([0, tf], [pi, 1, 1, 0])
run2 = slv.run([0, tf], [pi, 1.001, 1, 0])
if self.render:
self.runRender([run1, run2], 'odd_pend')
def setUp(self):
# test data
self.pendulum_system = DoublePendulumSystem()
self.pendulum_solver = SystemSolver(self.pendulum_system)
# run render test
self.render_til = 10
self.render_long = False # slows test a lot
self.render = False # slows test
def testExample(self):
sys = RestrictedCircular3Body()
slv = SystemSolver(sys)
lce, lce_run = slv.get_lce()
slv.calc_lce
# print(lce)
init = [1, -1, 1, -1]
run = slv.run([0, 5], init)
run['results'].y = run['results'].y[:2, :]
slv.plot2d(run)
def testLCEPendulumLong(self):
sys = DoublePendulumSystem()
slv = SystemSolver(sys)
theta = pi * 120 / 180
lce, run = slv.get_lce(T=100, y0=[theta, 0, 0, 0])
y = run['results'].y
Df_y0 = y[sys.dim:, -1].reshape(sys.dim, sys.dim)
print(Df_y0)
print(lce)
self.assertGreater(lce, 0)
def testLCEPendulumVaryAngle(self):
sys = DoublePendulumSystem()
slv = SystemSolver(sys)
thetas = []
lces = []
for theta in np.arange(0.001, pi + 0.0001, pi / 20):
lce, _ = slv.get_lce(T=100, y0=[theta, 0, 0, 0])
thetas.append(theta)
lces.append(lce)
clearFigs()
plt.figure()
plt.plot(thetas, lces)
plt.show(True)
def testLCE(self):
# slv.calc_lce(Df_y0, T)
sys = RestrictedCircular3Body()
slv = SystemSolver(sys)
lce, lce_run = slv.get_lce(T=100)
t = lce_run['results'].t
y = lce_run['results'].y
sys_dim = sys.dim
lces = []
start_t = 10
for i in range(start_t, t.shape[0]):
Df_y0 = y[sys_dim:, i].reshape(sys_dim, sys_dim)
lce = slv.calc_lce(Df_y0, t[i])
lces.append(lce)
plt.plot(t[start_t:], lces)
plt.show(True)
def runLCETest(self, sigma, rho, beta, l1):
sys = LorenzSystem(sigma, rho, beta)
slv = SystemSolver(sys)
lce, run = slv.get_lce(T=100)
T0 = 0
t = run['results'].t[T0:]
y = run['results'].y[:, T0:]
lces = []
for i, t_val in enumerate(t):
Df_y0 = y[sys.dim:, i].reshape(sys.dim, sys.dim)
lces.append(slv.calc_lce(Df_y0, t_val))
clearFigs()
plt.figure()
plt.plot(t, lces)
plt.show(True)
print(Df_y0)
print(lce, l1, (lce - l1) / l1)
self.assertAlmostEqual((lce - l1) / l1, 0, places=0)
def testFig8LcePartition(self): # takes a long time, so its disabled
sys = NBodySystem(body_masses=[1, 1, 1], G=1)
solver = SystemSolver(sys)
tspan = [0, 10]
y0 = np.zeros(2 * sys.body_dim * len(sys.body_masses),
dtype=np.float64)
x1 = np.array([0.97000436, -0.24308753, 0])
x3p = np.array([-0.93240737, -0.86473146, 0])
y0[0:3] = x1
y0[3:6] = -x1
y0[6:9] = 0
y0[9:12] = -x3p / 2
y0[12:15] = -x3p / 2
y0[15:18] = x3p
# print(sys.fun(np.zeros_like(y0), y0).reshape(6, -1))
tspan, lces = solver.quick_lce(tspan[1], y0, partition=None)
print(np.mean(lces[-5:]))
clearFigs()
plt.figure()
plt.plot(tspan, lces)
plt.show(True)
from echonn.sys import CircleSystem, SystemSolver
if __name__ == "__main__":
sys = SystemSolver(CircleSystem())
lce, run = sys.get_lce()
print('lce:', lce)
print(run['results'].y[2:, -1].reshape(2, 2))
import os
import pickle
import numpy as np
import matplotlib.pyplot as plt
from copy import deepcopy
from echonn.sys import SystemSolver
res = pickle.load(open('doub_pend_results.p', 'rb'))
run, lce, ts_data, results = res
sys = run['system']
slvr = SystemSolver(sys)
dir_pre = os.path.join('..', 'images', 'doub_pend')
# print small details
print('lce:', lce[0])
# LCE
lce_val, lce_run = lce
T0 = 0
t = lce_run['results'].t[T0:]
y = lce_run['results'].y[:, T0:]
lces = []
for i, t_val in enumerate(t):
Df_y0 = y[sys.dim:, i].reshape(sys.dim, sys.dim)
lces.append(slvr.calc_lce(Df_y0, t_val))
plt.figure()
plt.title(f'Double Pendulum LCE ({lce_val:.3}) vs t')
plt.xlabel('t')
plt.ylabel('LCE')
plt.plot(t, lces)
plt.savefig(os.path.join(dir_pre, 'lce_converge.png'))
self.k[i] *= self.e[i-1] * self.k[i-1]
self.levels = levels
def fun(self, t, v):
r = self.r
k = self.k
e = self.e
trans = r * v*v/k
y = np.zeros_like(v)
y[0] += r * v[0]
y[1:] += e*trans[:-1]
y -= trans
return y
if __name__ == '__main__':
biome1 = {'rate': 1, 'capacity': 1000, 'efficiency': [.1, .12], 'levels':3}
biome2 = {'rate': .1, 'capacity': 100, 'efficiency': [.1, .9], 'levels':3}
biome3 = {'rate': .01, 'capacity': 5000, 'efficiency': [.1, .2], 'levels':3}
problem = EcoSystem([biome1, biome2, biome3])
solver = SystemSolver(problem)
y0 = np.zeros(problem.dim)
y0[0] = 1
y0[3] = 1
y0[4] = 1000
y0[6] = 1
solver.run([0, 200], y0)
solver.plotnd()
plt.show(True)
def setUp(self):
# test data
self.circle_solver = SystemSolver(CircleSystem())
self.lorenz_solver = SystemSolver(LorenzSystem())
from echonn.sys import LorenzSystem, SystemSolver
if __name__ == "__main__":
data = [
[16, 45.92, 4, 1.50255],
[16, 40, 4, 1.37446],
[10, 28, 8 / 3, 0.90566],
]
results = []
for sigma, rho, beta, lambda_ in data:
lces = []
print('calculating lces...')
for i in range(10):
sys = LorenzSystem(sigma, rho, beta)
slv = SystemSolver(sys)
lce, _ = slv.get_lce()
print('\t{}:'.format(i), lce)
lces.append(lce)
res = {}
res['beta'] = beta
res['rho'] = rho
res['sigma'] = sigma
res['lambda'] = lambda_
res['mean'] = np.mean(lces)
res['std'] = np.std(lces)
res['error'] = res['mean'] - lambda_
res['relative error'] = res['error'] / lambda_
print(res)
print()
import os
from echonn.sys import NBodySystem, SystemSolver
import numpy as np
import matplotlib.pyplot as plt
dir_pre = os.path.join('..', 'images', '3body')
sys = NBodySystem(body_masses=[1, 1, 1], body_dim=2, G=1)
solver = SystemSolver(sys)
tspan = [0, 200]
y0 = np.zeros(2 * sys.body_dim * len(sys.body_masses), dtype=np.float64)
x1 = np.array([0.97000436, -0.24308753])
x3p = np.array([-0.93240737, -0.86473146])
y0[0:2] = x1
y0[2:4] = -x1
# y0[4:6] = zero
y0[6:8] = -x3p / 2
y0[8:10] = -x3p / 2
y0[10:12] = x3p
# print(sys.fun(np.zeros_like(y0), y0).reshape(6, -1))
lce, run = solver.get_lce(tspan[1], y0)
t = run['results'].t[1:]
y = run['results'].y[sys.dim:, 1:].reshape(sys.dim, sys.dim, -1)
#print(y[:, :, -1])
lces = []
for i, t_val in enumerate(t):
Df_y = y[:, :, i]
lces.append(solver.calc_lce(Df_y, t_val))
import os
import pickle
import numpy as np
import matplotlib.pyplot as plt
from copy import deepcopy
from echonn.sys import SystemSolver
res = pickle.load(open('lorenz_results.p', 'rb'))
run, lce, ts_data, results = res
sys = run['system']
slvr = SystemSolver(sys)
dir_pre = os.path.join('..', 'images', 'lorenz')
print('lce:', lce[0])
# LCE
lce_val, lce_run = lce
T0 = 0
t = lce_run['results'].t[T0:]
y = lce_run['results'].y[:, T0:]
lces = []
for i, t_val in enumerate(t):
Df_y0 = y[sys.dim:, i].reshape(sys.dim, sys.dim)
lces.append(slvr.calc_lce(Df_y0, t_val))
plt.figure()
plt.title(f'Lorenz LCE ({lce_val:.3}) vs t')
plt.xlabel('t')
plt.ylabel('LCE')
plt.plot(t, lces)
plt.savefig(os.path.join(dir_pre, 'lce_converge.png'))
import os
import numpy as np
import matplotlib.pyplot as plt
from echonn.sys import LorenzSystem, SystemSolver
if __name__ == "__main__":
lorenz_3d_plot = os.path.join('..', 'images', 'lorenz_3d_plot.png')
lorenz_nd_plot = os.path.join('..', 'images', 'lorenz_nd_plot.png')
slv = SystemSolver(LorenzSystem())
res = slv.run([0, 50], [10, 20, 30])
slv.plotnd(res, dims=['x', 'y', 'z'])
plt.savefig(lorenz_nd_plot)
slv.plot3d(res)
plt.savefig(lorenz_3d_plot)
plt.show(True)
def setUp(self):
# test data
self.pendulum_system = DoublePendulumSystem()
self.pendulum_solver = SystemSolver(self.pendulum_system)
self.run_dp_render = False
def runLCETestShort(self, sigma, rho, beta, l1):
sys = LorenzSystem(sigma, rho, beta)
slv = SystemSolver(sys)
slv.get_lce(T=2)
def testLCEPendulum(self):
sys = DoublePendulumSystem()
slv = SystemSolver(sys)
slv.get_lce(T=2, y0=[1.8, 1.8, 0, 0])
def setUp(self):
# test data
self.circle_solver = SystemSolver(CircleSystem())
def testCircleLCE(self):
sys = SystemSolver(CircleSystem())
lce, run = sys.get_lce()
self.assertAlmostEqual(lce, 0, places=4)