/usr/lib/python2.7/dist-packages/PySPH-1.0a4.dev0-py2.7-linux-x86_64.egg/pysph/sph/tests/test_acceleration_eval.py is in python-pysph 0~20160514.git91867dc-4build1.
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try:
# This is for Python-2.6.x
import unittest2 as unittest
except ImportError:
import unittest
# Library imports.
import numpy as np
# Local imports.
from pysph.base.utils import get_particle_array
from pysph.sph.equation import Equation, Group
from pysph.sph.acceleration_eval import (AccelerationEval,
check_equation_array_properties)
from pysph.sph.basic_equations import SummationDensity
from pysph.base.kernels import CubicSpline
from pysph.base.nnps import LinkedListNNPS as NNPS
from pysph.sph.sph_compiler import SPHCompiler
from pysph.base.reduce_array import serial_reduce_array
class TestEquation(Equation):
def initialize(self, d_idx, d_rho, d_V):
d_rho[d_idx] = d_V[d_idx]
def loop(self, d_idx, d_rho, s_idx, s_m, s_u, WIJ):
d_rho[d_idx] += s_m[s_idx]*WIJ
def post_loop(self, d_idx, d_rho, s_idx, s_m, s_V, WIJ):
d_rho[d_idx] += s_m[s_idx]*WIJ
class FindTotalMass(Equation):
def initialize(self, d_idx, d_m, d_total_mass):
# FIXME: This is stupid and should be fixed if we add a separate
# initialize_once function or so.
d_total_mass[0] = 0.0
def post_loop(self, d_idx, d_m, d_total_mass):
d_total_mass[0] += d_m[d_idx]
class TestCheckEquationArrayProps(unittest.TestCase):
def test_should_pass_when_properties_exist(self):
# Given
f = get_particle_array(name='f')
# When
eq = SummationDensity(dest='f', sources=['f'])
# Then
check_equation_array_properties(eq, [f])
def test_should_fail_when_props_dont_exist(self):
# Given
f = get_particle_array(name='f')
# When
eq = TestEquation(dest='f', sources=['f'])
# Then
self.assertRaises(RuntimeError,
check_equation_array_properties, eq, [f])
def test_should_fail_when_src_props_dont_exist(self):
# Given
f = get_particle_array(name='f')
f.add_property('V')
s = get_particle_array(name='s')
# When
eq = TestEquation(dest='f', sources=['f', 's'])
# Then
self.assertRaises(RuntimeError,
check_equation_array_properties, eq, [f, s])
def test_should_pass_when_src_props_exist(self):
# Given
f = get_particle_array(name='f')
f.add_property('V')
s = get_particle_array(name='s')
s.add_property('V')
# When
eq = TestEquation(dest='f', sources=['f', 's'])
# Then
check_equation_array_properties(eq, [f, s])
def test_should_check_constants(self):
# Given
f = get_particle_array(name='f')
# When
eq = FindTotalMass(dest='f', sources=['f'])
# Then.
self.assertRaises(RuntimeError,
check_equation_array_properties, eq, [f])
# When.
f.add_constant('total_mass', 0.0)
# Then.
check_equation_array_properties(eq, [f])
class SimpleEquation(Equation):
def __init__(self, dest, sources):
super(SimpleEquation, self).__init__(dest, sources)
self.count = 0
def initialize(self, d_idx, d_u, d_au):
d_u[d_idx] = 0.0
d_au[d_idx] = 0.0
def loop(self, d_idx, d_au, s_idx, s_m):
#print d_idx, s_idx
d_au[d_idx] += s_m[s_idx]
def post_loop(self, d_idx, d_u, d_au):
d_u[d_idx] = d_au[d_idx]
def converged(self):
self.count += 1
result = self.count - 1
if result > 0:
# Reset the count for the next loop.
self.count = 0
return result
class MixedTypeEquation(Equation):
def initialize(self, d_idx, d_u, d_au, d_pid, d_tag):
d_u[d_idx] = 0.0 + d_pid[d_idx]
d_au[d_idx] = 0.0 + d_tag[d_idx]
def loop(self, d_idx, d_au, s_idx, s_m, s_pid, s_tag):
#print d_idx, s_idx
d_au[d_idx] += s_m[s_idx] + s_pid[s_idx] + s_tag[s_idx]
def post_loop(self, d_idx, d_u, d_au, d_pid):
d_u[d_idx] = d_au[d_idx] + d_pid[d_idx]
class SimpleReduction(Equation):
def reduce(self, dst):
dst.total_mass[0] = serial_reduce_array(dst.array.m, op='sum')
class TestAccelerationEval1D(unittest.TestCase):
def setUp(self):
self.dim = 1
n = 10
dx = 1.0/(n-1)
x = np.linspace(0, 1, n)
m = np.ones_like(x)
h = np.ones_like(x)*dx*1.05
pa = get_particle_array(name='fluid', x=x, h=h, m=m)
self.pa = pa
def _make_accel_eval(self, equations, cache_nnps=False):
arrays = [self.pa]
kernel = CubicSpline(dim=self.dim)
a_eval = AccelerationEval(
particle_arrays=arrays, equations=equations, kernel=kernel
)
comp = SPHCompiler(a_eval, integrator=None)
comp.compile()
nnps = NNPS(dim=kernel.dim, particles=arrays, cache=cache_nnps)
nnps.update()
a_eval.set_nnps(nnps)
return a_eval
def test_should_support_constants(self):
# Given
pa = self.pa
pa.add_constant('total_mass', 0.0)
equations = [FindTotalMass (dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
self.assertEqual(pa.total_mass, 10.0)
def test_should_not_iterate_normal_group(self):
# Given
pa = self.pa
equations = [SimpleEquation(dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([3., 4., 5., 5., 5., 5., 5., 5., 4., 3.])
self.assertListEqual(list(pa.u), list(expect))
def test_should_work_with_cached_nnps(self):
# Given
pa = self.pa
equations = [SimpleEquation(dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations, cache_nnps=True)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([3., 4., 5., 5., 5., 5., 5., 5., 4., 3.])
self.assertListEqual(list(pa.u), list(expect))
def test_should_iterate_iterated_group(self):
# Given
pa = self.pa
equations = [Group(
equations=[SimpleEquation(dest='fluid', sources=['fluid']),
SimpleEquation(dest='fluid', sources=['fluid']),
],
iterate=True
)]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([3., 4., 5., 5., 5., 5., 5., 5., 4., 3.])*2
self.assertListEqual(list(pa.u), list(expect))
def test_should_iterate_nested_groups(self):
pa = self.pa
equations = [Group(
equations=[
Group(
equations=[SimpleEquation(dest='fluid', sources=['fluid'])]
),
Group(
equations=[SimpleEquation(dest='fluid', sources=['fluid'])],
),
],
iterate=True,
)]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([3., 4., 5., 5., 5., 5., 5., 5., 4., 3.])
self.assertListEqual(list(pa.u), list(expect))
def test_should_run_reduce(self):
# Given.
pa = self.pa
pa.add_constant('total_mass', 0.0)
equations = [SimpleReduction(dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.sum(pa.m)
self.assertAlmostEqual(pa.total_mass[0], expect, 14)
def test_should_work_with_non_double_arrays(self):
# Given
pa = self.pa
equations = [MixedTypeEquation(dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([3., 4., 5., 5., 5., 5., 5., 5., 4., 3.])
self.assertListEqual(list(pa.u), list(expect))
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