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corrected add_primitive test

This commit is contained in:
Philip Eisenlohr 2020-08-09 23:14:32 +02:00
parent 4bf3b92609
commit 752d6f773b
1 changed files with 23 additions and 26 deletions
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31
python/tests/test_Geom.py
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@ -45,10 +45,7 @@ class TestGeom:
old = default.get_microstructure()
new = np.random.randint(200,size=default.grid)
default.set_microstructure(np.ma.MaskedArray(new,np.full_like(new,masked)))
if masked:
assert np.all(default.microstructure==old)
else:
assert np.all(default.microstructure==new)
assert np.all(default.microstructure==(old if masked else new))
def test_write_read_str(self,default,tmpdir):
@ -192,19 +189,19 @@ class TestGeom:
e = default.grid
assert np.all(modified.microstructure[:e[0],:e[1],:e[2]] == default.microstructure)
@pytest.mark.parametrize('center',[np.random.random(3)*.5,
np.random.randint(4,10,(3))])
@pytest.mark.parametrize('center1,center2',[(np.random.random(3)*.5,np.random.random(3)),
(np.random.randint(4,8,(3)),np.random.randint(9,12,(3)))])
@pytest.mark.parametrize('diameter',[np.random.random(3)*.5,
np.random.randint(4,10,(3))])
def test_add_primitive(self,diameter,center):
def test_add_primitive(self,diameter,center1,center2):
"""Same volume fraction for periodic microstructures and different center."""
o = np.random.random(3)-.5
g = np.random.randint(8,32,(3))
s = np.random.random(3)+.5
G_1 = Geom(np.ones(g,'i'),s,o)
G_2 = Geom(np.ones(g,'i'),s,o)
G_1.add_primitive(diameter,center,1)
G_2.add_primitive(diameter,center,1)
G_1.add_primitive(diameter,center1,1)
G_2.add_primitive(diameter,center2,1)
assert np.count_nonzero(G_1.microstructure!=2) == np.count_nonzero(G_2.microstructure!=2)
@pytest.mark.parametrize('trigger',[[1],[]])
@ -212,16 +209,16 @@ class TestGeom:
offset = np.random.randint(2,4)
vicinity = np.random.randint(2,4)
g=np.random.randint(28,40,(3))
m=np.ones(g,'i')
x=(g*np.random.permutation(np.array([.5,1,1]))).astype('i')
m[slice(0,x[0]),slice(0,x[1]),slice(0,x[2])]=2
m2=copy.deepcopy(m)
g = np.random.randint(28,40,(3))
m = np.ones(g,'i')
x = (g*np.random.permutation(np.array([.5,1,1]))).astype('i')
m[slice(0,x[0]),slice(0,x[1]),slice(0,x[2])] = 2
m2 = copy.deepcopy(m)
for i in [0,1,2]:
m2[(np.roll(m,+vicinity,i)-m)!=0] +=offset
m2[(np.roll(m,-vicinity,i)-m)!=0] +=offset
m2[(np.roll(m,+vicinity,i)-m)!=0] += offset
m2[(np.roll(m,-vicinity,i)-m)!=0] += offset
if len(trigger) > 0:
m2[m==1]=1
m2[m==1] = 1
geom = Geom(m,np.random.rand(3))
geom.vicinity_offset(vicinity,offset,trigger=trigger)