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test_term_consistency.py
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test_term_consistency.py
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from sfepy import data_dir
filename_mesh = data_dir + '/meshes/2d/special/circle_in_square.mesh'
dim = 2
fields = {
'scalar_field' : ('real', 'scalar', 'Omega', 1),
'vector_field' : ('real', 'vector', 'Omega', 1),
}
variables = {
'us' : ('unknown field', 'scalar_field', 0),
'ts' : ('test field', 'scalar_field', 'us'),
'ps1' : ('parameter field', 'scalar_field', 'us'),
'ps2' : ('parameter field', 'scalar_field', 'us'),
'uv' : ('unknown field', 'vector_field', 1),
'tv' : ('test field', 'vector_field', 'uv'),
'pv1' : ('parameter field', 'vector_field', 'uv'),
'pv2' : ('parameter field', 'vector_field', 'uv'),
}
regions = {
'Omega' : 'all',
'Left' : ('vertices in (x < -0.499)', 'facet'),
}
integrals = {
'i' : 2,
}
materials = {
'm' : 'get_pars',
'm2' : ({'K' : [[3.0, 0.1], [0.3, 1.0]]},),
}
equations = {
'eq' : """dw_diffusion.i.Omega( m2.K, ts, us ) = 0"""
}
def get_pars(ts, coor, mode=None, term=None, **kwargs):
if mode == 'qp':
n_nod, dim = coor.shape
sym = (dim + 1) * dim / 2
if 'biot' in term.name:
val = nm.zeros((sym, 1), dtype=nm.float64)
val[:dim] = 0.132
val[dim:sym] = 0.092
elif 'volume_dot' in term.name:
val = 1.0 / nm.array([3.8], dtype=nm.float64)
elif 'diffusion' in term.name:
val = nm.eye(dim, dtype=nm.float64)
else:
raise ValueError
return {'val' : nm.tile(val, (coor.shape[0], 1, 1))}
functions = {
'get_pars' : (get_pars,),
}
# (eval term prefix, parameter corresponding to test variable, 'd' variables,
# 'dw' variables (test must be paired with unknown, which should be at
# index 2!), mat mode)
test_terms = [
('%s_biot.i.Omega( m.val, %s, %s )',
('dw', 'ps1', ('pv1', 'ps1'), ('pv1', 'ts', 'us', 'uv', 'tv'))),
('%s_biot.i.Omega( m.val, %s, %s )',
('dw', 'pv1', ('pv1', 'ps1'), ('tv', 'ps1', 'uv', 'us', 'ts'))),
('%s_diffusion.i.Omega( m.val, %s, %s )',
('dw', 'ps1', ('ps1', 'ps2'), ('ts', 'ps1', 'us'))),
('%s_volume_dot.i.Omega( m.val, %s, %s )',
('dw', 'ps1', ('ps1', 'ps2'), ('ts', 'ps1', 'us'))),
]
import numpy as nm
from sfepy.base.testing import TestCommon
def _integrate(var, val_qp):
from sfepy.discrete import Integral
from sfepy.discrete.common.mappings import get_jacobian
integral = Integral('i', 2)
det = get_jacobian(var.field, integral)
val = (val_qp * det).sum(axis=1) / det.sum(axis=1)
return val
class Test(TestCommon):
@staticmethod
def from_conf(conf, options):
from sfepy.discrete import Problem
problem = Problem.from_conf(conf, init_equations=False)
test = Test(problem=problem,
conf=conf, options=options)
return test
def test_consistency_d_dw(self):
from sfepy.discrete import Variables
ok = True
pb = self.problem
for aux in test_terms:
term_template, (prefix, par_name, d_vars, dw_vars) = aux
print term_template, prefix, par_name, d_vars, dw_vars
term1 = term_template % ((prefix,) + d_vars)
variables = Variables.from_conf(self.conf.variables, pb.fields)
for var_name in d_vars:
var = variables[var_name]
n_dof = var.field.n_nod * var.field.shape[0]
aux = nm.arange(n_dof, dtype=nm.float64)
var.set_data(aux)
if prefix == 'd':
val1 = pb.evaluate(term1, var_dict=variables.as_dict())
else:
val1 = pb.evaluate(term1, call_mode='d_eval',
var_dict=variables.as_dict())
self.report('%s: %s' % (term1, val1))
term2 = term_template % (('dw',) + dw_vars[:2])
vec, vv = pb.evaluate(term2, mode='weak',
var_dict=variables.as_dict(),
ret_variables=True)
pvec = vv.get_state_part_view(vec, dw_vars[2])
val2 = nm.dot(variables[par_name](), pvec)
self.report('%s: %s' % (term2, val2))
err = nm.abs(val1 - val2) / nm.abs(val1)
_ok = err < 1e-12
self.report('relative difference: %e -> %s' % (err, _ok))
ok = ok and _ok
return ok
def test_eval_matrix(self):
problem = self.problem
problem.set_equations()
problem.time_update(ebcs={}, epbcs={})
var = problem.get_variables()['us']
vec = nm.arange(var.n_dof, dtype=var.dtype)
var.set_data(vec)
val1 = problem.evaluate('dw_diffusion.i.Omega( m2.K, us, us )',
mode='eval', us=var)
mtx = problem.evaluate('dw_diffusion.i.Omega( m2.K, ts, us )',
mode='weak', dw_mode='matrix')
val2 = nm.dot(vec, mtx * vec)
ok = (nm.abs(val1 - val2) / nm.abs(val1)) < 1e-15
self.report('eval: %s, weak: %s, ok: %s' % (val1, val2, ok))
return ok
def test_vector_matrix(self):
problem = self.problem
problem.set_equations()
problem.time_update()
state = problem.create_state()
state.apply_ebc()
aux1 = problem.evaluate("dw_diffusion.i.Omega( m2.K, ts, us )",
mode='weak', dw_mode='vector')
problem.time_update(ebcs={}, epbcs={})
mtx = problem.evaluate("dw_diffusion.i.Omega( m2.K, ts, us )",
mode='weak', dw_mode='matrix')
aux2g = mtx * state()
problem.time_update(ebcs=self.conf.ebcs,
epbcs=self.conf.epbcs)
aux2 = problem.equations.strip_state_vector(aux2g, follow_epbc=True)
ret = self.compare_vectors(aux1, aux2,
label1='vector mode',
label2='matrix mode')
if not ret:
self.report('failed')
return ret
def test_surface_evaluate(self):
from sfepy.discrete import FieldVariable
problem = self.problem
us = problem.get_variables()['us']
vec = nm.empty(us.n_dof, dtype=us.dtype)
vec[:] = 1.0
us.set_data(vec)
expr = 'ev_surface_integrate.i.Left( us )'
val = problem.evaluate(expr, us=us)
ok1 = nm.abs(val - 1.0) < 1e-15
self.report('with unknown: %s, value: %s, ok: %s'
% (expr, val, ok1))
ps1 = FieldVariable('ps1', 'parameter', us.get_field(),
primary_var_name='(set-to-None)')
ps1.set_data(vec)
expr = 'ev_surface_integrate.i.Left( ps1 )'
val = problem.evaluate(expr, ps1=ps1)
ok2 = nm.abs(val - 1.0) < 1e-15
self.report('with parameter: %s, value: %s, ok: %s'
% (expr, val, ok2))
ok2 = True
return ok1 and ok2
def test_ev_grad(self):
problem = self.problem
var = problem.create_variables(['us'])['us']
val = nm.arange(var.n_dof, dtype=var.dtype)
var.set_data(val)
val1 = problem.evaluate('ev_grad.i.Omega( us )', us=var, mode='el_avg')
self.report('ev_grad(el_avg): min, max:', val1.min(), val1.max())
aux = problem.evaluate('ev_grad.i.Omega( us )', us=var, mode='qp')
val2 = _integrate(var, aux)
val2.shape = val1.shape
self.report('ev_grad(qp): min, max:', val2.min(), val2.max())
ok = self.compare_vectors(val1, val2,
label1='de mode',
label2='dq mode')
if not ok:
self.report('failed')
return ok
def test_ev_div(self):
problem = self.problem
var = problem.create_variables(['uv'])['uv']
val = nm.arange(var.n_dof, dtype=var.dtype)
var.set_data(val)
val1 = problem.evaluate('ev_div.i.Omega( uv )', uv=var, mode='el_avg')
self.report('ev_div(el_avg): min, max:', val1.min(), val1.max())
aux = problem.evaluate('ev_div.i.Omega( uv )', uv=var, mode='qp')
val2 = _integrate(var, aux)
val2.shape = val1.shape
self.report('ev_div(qp): min, max:', val2.min(), val2.max())
ok = self.compare_vectors(val1, val2,
label1='de mode',
label2='dq mode')
if not ok:
self.report('failed')
return ok