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reflect updated shape blending

This commit is contained in:
Philip Eisenlohr 2023-09-19 18:05:12 -04:00
parent 4c4c1fbcc8
commit 108ef2a954
1 changed files with 15 additions and 10 deletions
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25
python/tests/test_Orientation.py
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@ -162,7 +162,7 @@ class TestOrientation:
([np.arccos(3**(-.5)),np.pi/4,0],[0,0],[0,0,1],[0,0,1])]) ([np.arccos(3**(-.5)),np.pi/4,0],[0,0],[0,0,1],[0,0,1])])
def test_fiber_IPF(self,crystal,sample,direction,color): def test_fiber_IPF(self,crystal,sample,direction,color):
fiber = Orientation.from_fiber_component(crystal=crystal,sample=sample,family='cubic',shape=200) fiber = Orientation.from_fiber_component(crystal=crystal,sample=sample,family='cubic',shape=200)
print(np.allclose(fiber.IPF_color(direction),color)) assert np.allclose(fiber.IPF_color(direction),color)
@pytest.mark.parametrize('kwargs',[ @pytest.mark.parametrize('kwargs',[
@ -455,11 +455,9 @@ class TestOrientation:
p = Orientation.from_random(family=family,shape=right) p = Orientation.from_random(family=family,shape=right)
blend = util.shapeblender(o.shape,p.shape) blend = util.shapeblender(o.shape,p.shape)
for loc in np.random.randint(0,blend,(10,len(blend))): for loc in np.random.randint(0,blend,(10,len(blend))):
# print(f'{a}/{b} @ {loc}') l = () if left is None else tuple(np.minimum(np.array(left )-1,loc[:len(left)]))
# print(o[tuple(loc[:len(o.shape)])].disorientation(p[tuple(loc[-len(p.shape):])])) r = () if right is None else tuple(np.minimum(np.array(right)-1,loc[-len(right):]))
# print(o.disorientation(p)[tuple(loc)]) assert o[l].disorientation(p[r]).isclose(o.disorientation(p)[tuple(loc)])
assert o[tuple(loc[:len(o.shape)])].disorientation(p[tuple(loc[-len(p.shape):])]) \
.isclose(o.disorientation(p)[tuple(loc)])
@pytest.mark.parametrize('family',crystal_families) @pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('left,right',[ @pytest.mark.parametrize('left,right',[
@ -467,13 +465,16 @@ class TestOrientation:
((2,2),(4,4)), ((2,2),(4,4)),
((3,1),(1,3)), ((3,1),(1,3)),
(None,(3,)), (None,(3,)),
(None,()),
]) ])
def test_IPF_color_blending(self,family,left,right): def test_IPF_color_blending(self,family,left,right):
o = Orientation.from_random(family=family,shape=left) o = Orientation.from_random(family=family,shape=left)
v = np.random.random(right+(3,)) v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1]) blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))): for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].IPF_color(v[tuple(loc[-len(v.shape[:-1]):])]), l = () if left is None else tuple(np.minimum(np.array(left )-1,loc[:len(left)]))
r = () if right is None else tuple(np.minimum(np.array(right)-1,loc[-len(right):]))
assert np.allclose(o[l].IPF_color(v[r]),
o.IPF_color(v)[tuple(loc)]) o.IPF_color(v)[tuple(loc)])
@pytest.mark.parametrize('family',crystal_families) @pytest.mark.parametrize('family',crystal_families)
@ -488,7 +489,9 @@ class TestOrientation:
v = np.random.random(right+(3,)) v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1]) blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))): for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].to_SST(v[tuple(loc[-len(v.shape[:-1]):])]), l = () if left is None else tuple(np.minimum(np.array(left )-1,loc[:len(left)]))
r = () if right is None else tuple(np.minimum(np.array(right)-1,loc[-len(right):]))
assert np.allclose(o[l].to_SST(v[r]),
o.to_SST(v)[tuple(loc)]) o.to_SST(v)[tuple(loc)])
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma', @pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
@ -514,8 +517,10 @@ class TestOrientation:
v = np.random.random(right+(3,)) v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1]) blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))): for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].to_pole(uvw=v[tuple(loc[-len(v.shape[:-1]):])]), l = () if left is None else tuple(np.minimum(np.array(left )-1,loc[:len(left)]))
o.to_pole(uvw=v)[tuple(loc)]) r = () if right is None else tuple(np.minimum(np.array(right)-1,loc[-len(right):]))
assert np.allclose(o[l].to_pole(uvw=v[r]),
o.to_pole(uvw=v)[tuple(loc)])
def test_mul_invalid(self): def test_mul_invalid(self):
with pytest.raises(TypeError): with pytest.raises(TypeError):