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rMUSPECTRE µSpectre
python_binding_tests.py
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#!/usr/bin/env python3
"""
file python_binding_tests.py
@author Till Junge <till.junge@epfl.ch>
@date 09 Jan 2018
@brief Unit tests for python bindings
@section LICENCE
Copyright © 2018 Till Junge
µSpectre is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation, either version 3, or (at
your option) any later version.
µSpectre 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 Lesser General Public License
along with µSpectre; see the file COPYING. If not, write to the
Free Software Foundation, Inc., 59 Temple Place - Suite 330,
Boston, MA 02111-1307, USA.
Additional permission under GNU GPL version 3 section 7
If you modify this Program, or any covered work, by linking or combining it
with proprietary FFT implementations or numerical libraries, containing parts
covered by the terms of those libraries' licenses, the licensors of this
Program grant you additional permission to convey the resulting work.
"""
import
unittest
import
numpy
as
np
from
python_test_imports
import
µ
from
python_fft_tests
import
FFT_Check
from
python_projection_tests
import
*
from
python_material_linear_elastic3_test
import
MaterialLinearElastic3_Check
from
python_material_linear_elastic4_test
import
MaterialLinearElastic4_Check
from
python_material_linear_elastic_generic1_test
import
MaterialLinearElasticGeneric1_Check
from
python_material_linear_elastic_generic2_test
import
MaterialLinearElasticGeneric2_Check
from
python_field_tests
import
FieldCollection_Check
from
python_exact_reference_elastic_test
import
LinearElastic_Check
from
python_field_tests
import
FieldCollection_Check
from
python_muSpectre_gradient_integration_test
import
\
MuSpectre_gradient_integration_Check
from
python_material_evaluator_test
import
MaterialEvaluator_Check
class
CellCheck
(
unittest
.
TestCase
):
def
test_Construction
(
self
):
"""
Simple check for cell constructors
"""
resolution
=
[
5
,
7
]
lengths
=
[
5.2
,
8.3
]
formulation
=
µ
.
Formulation
.
small_strain
try
:
sys
=
µ
.
Cell
(
resolution
,
lengths
,
formulation
)
mat
=
µ
.
material
.
MaterialLinearElastic1_2d
.
make
(
sys
,
"material"
,
210e9
,
.
33
)
except
Exception
as
err
:
print
(
err
)
raise
err
class
MaterialLinearElastic1_2dCheck
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
resolution
=
[
5
,
7
]
self
.
lengths
=
[
5.2
,
8.3
]
self
.
formulation
=
µ
.
Formulation
.
small_strain
self
.
sys
=
µ
.
Cell
(
self
.
resolution
,
self
.
lengths
,
self
.
formulation
)
self
.
mat
=
µ
.
material
.
MaterialLinearElastic1_2d
.
make
(
self
.
sys
,
"material"
,
210e9
,
.
33
)
def
test_add_material
(
self
):
self
.
mat
.
add_pixel
([
2
,
1
])
class
SolverCheck
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
resolution
=
[
3
,
3
]
#[5,7]
self
.
lengths
=
[
3.
,
3.
]
#[5.2, 8.3]
self
.
formulation
=
µ
.
Formulation
.
finite_strain
self
.
sys
=
µ
.
Cell
(
self
.
resolution
,
self
.
lengths
,
self
.
formulation
)
self
.
hard
=
µ
.
material
.
MaterialLinearElastic1_2d
.
make
(
self
.
sys
,
"hard"
,
210e9
,
.
33
)
self
.
soft
=
µ
.
material
.
MaterialLinearElastic1_2d
.
make
(
self
.
sys
,
"soft"
,
70e9
,
.
33
)
def
test_solve
(
self
):
for
i
,
pixel
in
enumerate
(
self
.
sys
):
if
i
<
3
:
self
.
hard
.
add_pixel
(
pixel
)
else
:
self
.
soft
.
add_pixel
(
pixel
)
self
.
sys
.
initialise
()
tol
=
1e-6
Del0
=
np
.
array
([[
0
,
.
1
],
[
0
,
0
]])
maxiter
=
100
verbose
=
0
solver
=
µ
.
solvers
.
SolverCG
(
self
.
sys
,
tol
,
maxiter
,
verbose
)
r
=
µ
.
solvers
.
de_geus
(
self
.
sys
,
Del0
,
solver
,
tol
,
verbose
)
#print(r)
class
EigenStrainCheck
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
resolution
=
[
3
,
3
]
#[5,7]
self
.
lengths
=
[
3.
,
3.
]
#[5.2, 8.3]
self
.
formulation
=
µ
.
Formulation
.
small_strain
self
.
cell1
=
µ
.
Cell
(
self
.
resolution
,
self
.
lengths
,
self
.
formulation
)
self
.
cell2
=
µ
.
Cell
(
self
.
resolution
,
self
.
lengths
,
self
.
formulation
)
self
.
mat1
=
µ
.
material
.
MaterialLinearElastic1_2d
.
make
(
self
.
cell1
,
"simple"
,
210e9
,
.
33
)
self
.
mat2
=
µ
.
material
.
MaterialLinearElastic2_2d
.
make
(
self
.
cell2
,
"eigen"
,
210e9
,
.
33
)
self
.
mat3
=
µ
.
material
.
MaterialLinearElastic2_2d
.
make
(
self
.
cell2
,
"eigen2"
,
120e9
,
.
33
)
def
test_globalisation
(
self
):
for
pixel
in
self
.
cell2
:
self
.
mat2
.
add_pixel
(
pixel
,
np
.
random
.
rand
(
2
,
2
))
loc_eigenstrain
=
self
.
mat2
.
collection
.
get_real_field
(
"Eigenstrain"
)
.
array
glo_eigenstrain
=
self
.
cell2
.
get_globalised_internal_real_array
(
"Eigenstrain"
)
error
=
np
.
linalg
.
norm
(
loc_eigenstrain
-
glo_eigenstrain
)
self
.
assertEqual
(
error
,
0
)
def
test_globalisation_constant
(
self
):
for
i
,
pixel
in
enumerate
(
self
.
cell2
):
if
i
%
2
==
0
:
self
.
mat2
.
add_pixel
(
pixel
,
np
.
ones
((
2
,
2
)))
else
:
self
.
mat3
.
add_pixel
(
pixel
,
np
.
ones
((
2
,
2
)))
glo_eigenstrain
=
self
.
cell2
.
get_globalised_internal_real_array
(
"Eigenstrain"
)
error
=
np
.
linalg
.
norm
(
glo_eigenstrain
-
1
)
self
.
assertEqual
(
error
,
0
)
def
test_globalisation
(
self
):
for
pixel
in
self
.
cell2
:
self
.
mat2
.
add_pixel
(
pixel
,
np
.
random
.
rand
(
2
,
2
))
loc_eigenstrain
=
self
.
mat2
.
collection
.
get_real_field
(
"Eigenstrain"
)
.
array
glo_eigenstrain
=
self
.
cell2
.
get_globalised_internal_real_array
(
"Eigenstrain"
)
error
=
np
.
linalg
.
norm
(
loc_eigenstrain
-
glo_eigenstrain
)
self
.
assertEqual
(
error
,
0
)
def
test_solve
(
self
):
verbose_test
=
False
if
verbose_test
:
print
(
"start test_solve"
)
grad
=
np
.
array
([[
1.1
,
.
2
],
[
.
3
,
1.5
]])
gl_strain
=
-
0.5
*
(
grad
.
T
.
dot
(
grad
)
-
np
.
eye
(
2
))
gl_strain
=
-
0.5
*
(
grad
.
T
+
grad
-
2
*
np
.
eye
(
2
))
grad
=
-
gl_strain
if
verbose_test
:
print
(
"grad =
\n
{}
\n
gl_strain =
\n
{}"
.
format
(
grad
,
gl_strain
))
for
i
,
pixel
in
enumerate
(
self
.
cell1
):
self
.
mat1
.
add_pixel
(
pixel
)
self
.
mat2
.
add_pixel
(
pixel
,
gl_strain
)
self
.
cell1
.
initialise
()
self
.
cell2
.
initialise
()
tol
=
1e-6
Del0_1
=
grad
Del0_2
=
np
.
zeros_like
(
grad
)
maxiter
=
2
verbose
=
0
def
solve
(
cell
,
grad
):
solver
=
µ
.
solvers
.
SolverCG
(
cell
,
tol
,
maxiter
,
verbose
)
r
=
µ
.
solvers
.
newton_cg
(
cell
,
grad
,
solver
,
tol
,
tol
,
verbose
)
return
r
results
=
[
solve
(
cell
,
del0
)
for
(
cell
,
del0
)
in
zip
((
self
.
cell1
,
self
.
cell2
),
(
Del0_1
,
Del0_2
))]
P1
=
results
[
0
]
.
stress
P2
=
results
[
1
]
.
stress
error
=
np
.
linalg
.
norm
(
P1
-
P2
)
/
np
.
linalg
.
norm
(
.
5
*
(
P1
+
P2
))
if
verbose_test
:
print
(
"cell 1, no eigenstrain"
)
print
(
"P1:
\n
{}"
.
format
(
P1
[:,
0
]))
print
(
"F1:
\n
{}"
.
format
(
results
[
0
]
.
grad
[:,
0
]))
print
(
"cell 2, with eigenstrain"
)
print
(
"P2:
\n
{}"
.
format
(
P2
[:,
0
]))
print
(
"F2:
\n
{}"
.
format
(
results
[
1
]
.
grad
[:,
0
]))
print
(
"end test_solve"
)
self
.
assertLess
(
error
,
tol
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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