DAMASK_EICMD/python/tests/test_Geom.py

198 lines
8.3 KiB
Python

import copy
import pytest
import numpy as np
from damask import Geom
from damask import Rotation
from damask import util
def geom_equal(a,b):
return np.all(a.get_microstructure() == b.get_microstructure()) and \
np.all(a.get_grid() == b.get_grid()) and \
np.allclose(a.get_size(), b.get_size())
@pytest.fixture
def default():
"""Simple geometry."""
x=np.concatenate((np.ones(40,dtype=int),
np.arange(2,42),
np.ones(40,dtype=int)*2,
np.arange(1,41))).reshape(8,5,4)
return Geom(x,[8e-6,5e-6,4e-6])
@pytest.fixture
def reference_dir(reference_dir_base):
"""Directory containing reference results."""
return reference_dir_base/'Geom'
class TestGeom:
def test_update(self,default):
modified = copy.deepcopy(default)
modified.update(
default.get_microstructure(),
default.get_size(),
default.get_origin()
)
print(modified)
assert geom_equal(modified,default)
def test_write_read_str(self,default,tmpdir):
default.to_file(str(tmpdir.join('default.geom')))
new = Geom.from_file(str(tmpdir.join('default.geom')))
assert geom_equal(new,default)
def test_write_read_file(self,default,tmpdir):
with open(tmpdir.join('default.geom'),'w') as f:
default.to_file(f)
with open(tmpdir.join('default.geom')) as f:
new = Geom.from_file(f)
assert geom_equal(new,default)
@pytest.mark.parametrize('pack',[True,False])
def test_pack(self,default,tmpdir,pack):
default.to_file(tmpdir.join('default.geom'),pack=pack)
new = Geom.from_file(tmpdir.join('default.geom'))
assert geom_equal(new,default)
def test_invalid_combination(self,default):
with pytest.raises(ValueError):
default.update(default.microstructure[1:,1:,1:],size=np.ones(3), rescale=True)
def test_invalid_size(self,default):
with pytest.raises(ValueError):
default.update(default.microstructure[1:,1:,1:],size=np.ones(2))
def test_invalid_microstructure(self,default):
with pytest.raises(ValueError):
default.update(default.microstructure[1])
def test_invalid_homogenization(self,default):
with pytest.raises(TypeError):
default.set_homogenization(homogenization=0)
@pytest.mark.parametrize('directions,reflect',[
(['x'], False),
(['x','y','z'],True),
(['z','x','y'],False),
(['y','z'], False)
]
)
def test_mirror(self,default,update,reference_dir,directions,reflect):
modified = copy.deepcopy(default)
modified.mirror(directions,reflect)
tag = f'directions={"-".join(directions)}_reflect={reflect}'
reference = reference_dir/f'mirror_{tag}.geom'
if update: modified.to_file(reference)
assert geom_equal(modified,Geom.from_file(reference))
@pytest.mark.parametrize('stencil',[1,2,3,4])
def test_clean(self,default,update,reference_dir,stencil):
modified = copy.deepcopy(default)
modified.clean(stencil)
tag = f'stencil={stencil}'
reference = reference_dir/f'clean_{tag}.geom'
if update: modified.to_file(reference)
assert geom_equal(modified,Geom.from_file(reference))
@pytest.mark.parametrize('grid',[
(10,11,10),
[10,13,10],
np.array((10,10,10)),
np.array((8, 10,12)),
np.array((5, 4, 20)),
np.array((10,20,2))
]
)
def test_scale(self,default,update,reference_dir,grid):
modified = copy.deepcopy(default)
modified.scale(grid)
tag = f'grid={util.srepr(grid,"-")}'
reference = reference_dir/f'scale_{tag}.geom'
if update: modified.to_file(reference)
assert geom_equal(modified,Geom.from_file(reference))
def test_renumber(self,default):
modified = copy.deepcopy(default)
microstructure = modified.get_microstructure()
for m in np.unique(microstructure):
microstructure[microstructure==m] = microstructure.max() + np.random.randint(1,30)
modified.update(microstructure)
assert not geom_equal(modified,default)
modified.renumber()
assert geom_equal(modified,default)
def test_substitute(self,default):
modified = copy.deepcopy(default)
microstructure = modified.get_microstructure()
offset = np.random.randint(1,500)
microstructure+=offset
modified.update(microstructure)
assert not geom_equal(modified,default)
modified.substitute(np.arange(default.microstructure.max())+1+offset,
np.arange(default.microstructure.max())+1)
assert geom_equal(modified,default)
@pytest.mark.parametrize('axis_angle',[np.array([1,0,0,86.7]), np.array([0,1,0,90.4]), np.array([0,0,1,90]),
np.array([1,0,0,175]),np.array([0,-1,0,178]),np.array([0,0,1,180])])
def test_rotate360(self,default,axis_angle):
modified = copy.deepcopy(default)
for i in range(np.rint(360/axis_angle[3]).astype(int)):
modified.rotate(Rotation.from_axis_angle(axis_angle,degrees=True))
assert geom_equal(modified,default)
@pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0],
[0.0,32.0,240.0]])
def test_rotate(self,default,update,reference_dir,Eulers):
modified = copy.deepcopy(default)
modified.rotate(Rotation.from_Eulers(Eulers,degrees=True))
tag = f'Eulers={util.srepr(Eulers,"-")}'
reference = reference_dir/f'rotate_{tag}.geom'
if update: modified.to_file(reference)
assert geom_equal(modified,Geom.from_file(reference))
def test_canvas(self,default):
grid_add = np.random.randint(0,30,(3))
modified = copy.deepcopy(default)
modified.canvas(modified.grid + grid_add)
e = default.grid
assert np.all(modified.microstructure[:e[0],:e[1],:e[2]] == default.microstructure)
@pytest.mark.parametrize('periodic',[True,False])
def test_tessellation_approaches(self,periodic):
grid = np.random.randint(10,20,3)
size = np.random.random(3) + 1.0
N_seeds= np.random.randint(10,30)
seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3))
Voronoi = Geom.from_Voronoi_tessellation( grid,size,seeds, periodic)
Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(N_seeds),periodic)
assert geom_equal(Laguerre,Voronoi)
def test_Laguerre_weights(self):
grid = np.random.randint(10,20,3)
size = np.random.random(3) + 1.0
N_seeds= np.random.randint(10,30)
seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3))
weights= np.full((N_seeds),-np.inf)
ms = np.random.randint(1, N_seeds+1)
weights[ms-1] = np.random.random()
Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,weights,np.random.random()>0.5)
assert np.all(Laguerre.microstructure == ms)
@pytest.mark.parametrize('approach',['Laguerre','Voronoi'])
def test_tessellate_bicrystal(self,approach):
grid = np.random.randint(5,10,3)*2
size = grid.astype(np.float)
seeds = np.vstack((size*np.array([0.5,0.25,0.5]),size*np.array([0.5,0.75,0.5])))
microstructure = np.ones(grid)
microstructure[:,grid[1]//2:,:] = 2
if approach == 'Laguerre':
geom = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(2),np.random.random()>0.5)
elif approach == 'Voronoi':
geom = Geom.from_Voronoi_tessellation(grid,size,seeds, np.random.random()>0.5)
assert np.all(geom.microstructure == microstructure)