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field_test.py
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field_test.py
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# Copyright (C) 2010-2018 The ESPResSo project
#
# This file is part of ESPResSo.
#
# ESPResSo is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# ESPResSo is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function
from itertools import product
import unittest as ut
import numpy as np
import espressomd
from espressomd import constraints
class FieldTest(ut.TestCase):
"""Tests for not space dependend external fields.
"""
system = espressomd.System(box_l=[10, 10, 10], time_step=0.01)
system.cell_system.skin = 0.
def potential(self, x):
x0 = 5.0 * np.ones_like(x)
return 0.1 * np.sum(np.power((x - x0), 2))
def force(self, x):
x0 = 5.0 * np.ones_like(x)
return -0.2 * (x - x0)
def tearDown(self):
self.system.constraints.clear()
self.system.part.clear()
def test_gravity(self):
g_const = [1, 2, 3]
gravity = constraints.Gravity(g=g_const)
self.assertSequenceEqual(gravity.g, g_const)
self.system.constraints.add(gravity)
if espressomd.has_features("MASS"):
p = self.system.part.add(pos=[0, 0, 0], mass=3.1)
else:
p = self.system.part.add(pos=[0, 0, 0])
self.system.integrator.run(0)
np.testing.assert_almost_equal(g_const, np.copy(p.f) / p.mass)
self.assertAlmostEqual(self.system.analysis.energy()['total'], 0.)
@ut.skipIf(not espressomd.has_features("ELECTROSTATICS"), "Skipping")
def test_linear_electric_potential(self):
E = np.array([1., 2., 3.])
phi0 = 4.
electric_field = constraints.LinearElectricPotential(E=E, phi0=phi0)
np.testing.assert_almost_equal(E, electric_field.E)
self.assertEqual(phi0, electric_field.phi0)
self.system.constraints.add(electric_field)
p = self.system.part.add(pos=[0.5, 0.5, 0.5])
if espressomd.has_features("ELECTROSTATICS"):
q_part = -3.1
p.q = q_part
else:
q_part = 0.0
self.system.integrator.run(0)
np.testing.assert_almost_equal(q_part * E, np.copy(p.f))
self.assertAlmostEqual(self.system.analysis.energy()['total'],
q_part * (- np.dot(E, p.pos) + phi0))
self.assertAlmostEqual(self.system.analysis.energy()['total'],
self.system.analysis.energy()['external_fields'])
@ut.skipIf(not espressomd.has_features("ELECTROSTATICS"), "Skipping")
def test_electric_plane_wave(self):
E0 = np.array([1., -2., 3.])
k = np.array([-.1, .2, 0.3])
omega = 5.
phi = 1.4
electric_wave = constraints.ElectricPlaneWave(
E0=E0, k=k, omega=omega, phi=phi)
np.testing.assert_almost_equal(E0, electric_wave.E0)
np.testing.assert_almost_equal(k, electric_wave.k)
np.testing.assert_almost_equal(omega, electric_wave.omega)
np.testing.assert_almost_equal(phi, electric_wave.phi)
self.system.constraints.add(electric_wave)
p = self.system.part.add(pos=[0.4, 0.1, 0.11], q=-14.)
self.system.time = 1042.
self.system.integrator.run(0)
np.testing.assert_almost_equal(np.copy(p.f),
p.q * E0 * np.sin(np.dot(k, p.pos_folded) - omega * self.system.time + phi))
self.system.time = 118.
self.system.integrator.run(0)
np.testing.assert_almost_equal(np.copy(p.f),
p.q * E0 * np.sin(np.dot(k, p.pos_folded) - omega * self.system.time + phi))
self.system.integrator.run(10)
self.system.integrator.run(0, recalc_forces=True)
np.testing.assert_almost_equal(np.copy(p.f),
p.q * E0 * np.sin(np.dot(k, p.pos_folded) - omega * self.system.time + phi))
def test_homogeneous_flow_field(self):
u = np.array([1., 2., 3.])
gamma = 2.3
flow_field = constraints.HomogeneousFlowField(u=u, gamma=gamma)
np.testing.assert_almost_equal(u, flow_field.u)
self.system.constraints.add(flow_field)
p = self.system.part.add(pos=[0.5, 0.5, 0.5], v=[3., 4., 5.])
self.system.integrator.run(0)
np.testing.assert_almost_equal(gamma * (u - p.v), np.copy(p.f))
self.assertAlmostEqual(self.system.analysis.energy()['total'],
self.system.analysis.energy()['kinetic'])
def test_potential_field(self):
h = np.array([.2, .2, .2])
box = np.array([10., 10., 10.])
scaling = 2.6
field_data = constraints.PotentialField.field_from_fn(
box, h, self.potential)
F = constraints.PotentialField(field=field_data,
grid_spacing=h,
default_scale=scaling)
p = self.system.part.add(pos=[0, 0, 0])
self.system.constraints.add(F)
for i in product(*map(range, 3 * [10])):
x = (h * i)
f_val = F.call_method("_eval_field", x=x)
np.testing.assert_allclose(f_val, self.potential(x), rtol=1e-3)
p.pos = x
self.system.integrator.run(0)
self.assertAlmostEqual(
self.system.analysis.energy()['total'], scaling * f_val, places=5)
np.testing.assert_allclose(
np.copy(p.f), scaling * self.force(x), rtol=1e-5)
@ut.skipIf(not espressomd.has_features("ELECTROSTATICS"), "Skipping")
def test_electric_potential_field(self):
h = np.array([.2, .2, .2])
box = np.array([10., 10., 10.])
field_data = constraints.ElectricPotential.field_from_fn(
box, h, self.potential)
F = constraints.ElectricPotential(field=field_data,
grid_spacing=h)
p = self.system.part.add(pos=[0, 0, 0])
if espressomd.has_features("ELECTROSTATICS"):
q_part = -3.1
p.q = q_part
else:
q_part = 0.0
self.system.constraints.add(F)
for i in product(*map(range, 3 * [10])):
x = (h * i)
f_val = F.call_method("_eval_field", x=x)
np.testing.assert_allclose(f_val, self.potential(x), rtol=1e-3)
p.pos = x
self.system.integrator.run(0)
self.assertAlmostEqual(
self.system.analysis.energy()['total'], q_part * f_val, places=5)
np.testing.assert_allclose(
np.copy(p.f), q_part * self.force(x), rtol=1e-5)
def test_force_field(self):
h = np.array([.2, .2, .2])
box = np.array([10., 10., 10.])
scaling = 2.6
field_data = constraints.ForceField.field_from_fn(box, h, self.force)
F = constraints.ForceField(field=field_data,
grid_spacing=h,
default_scale=scaling)
p = self.system.part.add(pos=[0, 0, 0])
self.system.constraints.add(F)
for i in product(*map(range, 3 * [10])):
x = (h * i)
f_val = np.array(F.call_method("_eval_field", x=x))
np.testing.assert_allclose(f_val, self.force(x))
p.pos = x
self.system.integrator.run(0)
np.testing.assert_allclose(scaling * f_val, np.copy(p.f))
def test_flow_field(self):
h = np.array([.2, .2, .2])
box = np.array([10., 10., 10.])
gamma = 2.6
field_data = constraints.FlowField.field_from_fn(box, h, self.force)
F = constraints.FlowField(field=field_data,
grid_spacing=h,
gamma=gamma)
p = self.system.part.add(pos=[0, 0, 0], v=[1, 2, 3])
self.system.constraints.add(F)
for i in product(*map(range, 3 * [10])):
x = (h * i)
f_val = np.array(F.call_method("_eval_field", x=x))
np.testing.assert_allclose(f_val, self.force(x))
p.pos = x
self.system.integrator.run(0)
np.testing.assert_allclose(
-gamma * (p.v - f_val), np.copy(p.f), atol=1e-12)
if __name__ == "__main__":
print("Features: ", espressomd.features())
ut.main()