make uvw/hkl keyword-only arguments
avoid to prefer one over the other, since they are mutually exclusive
This commit is contained in:
parent
a0b6c2690b
commit
564ee6c96a
|
@ -802,7 +802,7 @@ class Orientation(Rotation):
|
||||||
return np.all(components >= 0.0,axis=-1)
|
return np.all(components >= 0.0,axis=-1)
|
||||||
|
|
||||||
|
|
||||||
def IPF_color(self,vector,proper=False):
|
def IPF_color(self,vector,in_SST=True,proper=False):
|
||||||
"""
|
"""
|
||||||
Map vector to RGB color within standard stereographic triangle of own symmetry.
|
Map vector to RGB color within standard stereographic triangle of own symmetry.
|
||||||
|
|
||||||
|
@ -810,6 +810,9 @@ class Orientation(Rotation):
|
||||||
----------
|
----------
|
||||||
vector : numpy.ndarray of shape (...,3)
|
vector : numpy.ndarray of shape (...,3)
|
||||||
Vector to colorize.
|
Vector to colorize.
|
||||||
|
in_SST : bool, optional
|
||||||
|
Consider symmetrically equivalent orientations such that poles are located in SST.
|
||||||
|
Defaults to True.
|
||||||
proper : bool, optional
|
proper : bool, optional
|
||||||
Consider only vectors with z >= 0, hence combine two neighboring SSTs (with mirrored colors).
|
Consider only vectors with z >= 0, hence combine two neighboring SSTs (with mirrored colors).
|
||||||
Defaults to False.
|
Defaults to False.
|
||||||
|
@ -824,7 +827,7 @@ class Orientation(Rotation):
|
||||||
Inverse pole figure color of the e_3 direction for a crystal in "Cube" orientation with cubic symmetry:
|
Inverse pole figure color of the e_3 direction for a crystal in "Cube" orientation with cubic symmetry:
|
||||||
|
|
||||||
>>> o = damask.Orientation(lattice='cubic')
|
>>> o = damask.Orientation(lattice='cubic')
|
||||||
>>> o.IPF_color(o.to_SST([0,0,1]))
|
>>> o.IPF_color([0,0,1])
|
||||||
array([1., 0., 0.])
|
array([1., 0., 0.])
|
||||||
|
|
||||||
References
|
References
|
||||||
|
@ -847,10 +850,13 @@ class Orientation(Rotation):
|
||||||
... }
|
... }
|
||||||
|
|
||||||
"""
|
"""
|
||||||
vector_ = np.array(vector)
|
if np.array(vector).shape[-1] != 3:
|
||||||
if vector_.shape[-1] != 3:
|
|
||||||
raise ValueError('Input is not a field of three-dimensional vectors.')
|
raise ValueError('Input is not a field of three-dimensional vectors.')
|
||||||
|
|
||||||
|
vector_ = self.to_SST(vector,proper) if in_SST else \
|
||||||
|
self @ np.broadcast_to(vector,self.shape+(3,))
|
||||||
|
|
||||||
|
|
||||||
if self.family == 'cubic':
|
if self.family == 'cubic':
|
||||||
basis = {'improper':np.array([ [-1. , 0. , 1. ],
|
basis = {'improper':np.array([ [-1. , 0. , 1. ],
|
||||||
[ np.sqrt(2.) , -np.sqrt(2.) , 0. ],
|
[ np.sqrt(2.) , -np.sqrt(2.) , 0. ],
|
||||||
|
@ -1076,7 +1082,7 @@ class Orientation(Rotation):
|
||||||
|
|
||||||
|
|
||||||
@classmethod
|
@classmethod
|
||||||
def Bravais_to_Miller(cls,uvtw=None,hkil=None):
|
def Bravais_to_Miller(cls,*,uvtw=None,hkil=None):
|
||||||
"""
|
"""
|
||||||
Transform 4 Miller–Bravais indices to 3 Miller indices of crystal direction [uvw] or plane normal (hkl).
|
Transform 4 Miller–Bravais indices to 3 Miller indices of crystal direction [uvw] or plane normal (hkl).
|
||||||
|
|
||||||
|
@ -1104,7 +1110,7 @@ class Orientation(Rotation):
|
||||||
|
|
||||||
|
|
||||||
@classmethod
|
@classmethod
|
||||||
def Miller_to_Bravais(cls,uvw=None,hkl=None):
|
def Miller_to_Bravais(cls,*,uvw=None,hkl=None):
|
||||||
"""
|
"""
|
||||||
Transform 3 Miller indices to 4 Miller–Bravais indices of crystal direction [uvtw] or plane normal (hkil).
|
Transform 3 Miller indices to 4 Miller–Bravais indices of crystal direction [uvtw] or plane normal (hkil).
|
||||||
|
|
||||||
|
@ -1133,7 +1139,7 @@ class Orientation(Rotation):
|
||||||
return np.einsum('il,...l->...i',basis,axis)
|
return np.einsum('il,...l->...i',basis,axis)
|
||||||
|
|
||||||
|
|
||||||
def to_lattice(self,direction=None,plane=None):
|
def to_lattice(self,*,direction=None,plane=None):
|
||||||
"""
|
"""
|
||||||
Calculate lattice vector corresponding to crystal frame direction or plane normal.
|
Calculate lattice vector corresponding to crystal frame direction or plane normal.
|
||||||
|
|
||||||
|
@ -1157,7 +1163,7 @@ class Orientation(Rotation):
|
||||||
return np.einsum('il,...l->...i',basis,axis)
|
return np.einsum('il,...l->...i',basis,axis)
|
||||||
|
|
||||||
|
|
||||||
def to_frame(self,uvw=None,hkl=None,with_symmetry=False):
|
def to_frame(self,*,uvw=None,hkl=None,with_symmetry=False):
|
||||||
"""
|
"""
|
||||||
Calculate crystal frame vector along lattice direction [uvw] or plane normal (hkl).
|
Calculate crystal frame vector along lattice direction [uvw] or plane normal (hkl).
|
||||||
|
|
||||||
|
@ -1185,7 +1191,7 @@ class Orientation(Rotation):
|
||||||
np.einsum('il,...l->...i',basis,axis))
|
np.einsum('il,...l->...i',basis,axis))
|
||||||
|
|
||||||
|
|
||||||
def to_pole(self,uvw=None,hkl=None,with_symmetry=False):
|
def to_pole(self,*,uvw=None,hkl=None,with_symmetry=False):
|
||||||
"""
|
"""
|
||||||
Calculate lab frame vector along lattice direction [uvw] or plane normal (hkl).
|
Calculate lab frame vector along lattice direction [uvw] or plane normal (hkl).
|
||||||
|
|
||||||
|
|
|
@ -746,7 +746,7 @@ class Result:
|
||||||
'hex':'hP'}[q['meta']['Lattice']])
|
'hex':'hP'}[q['meta']['Lattice']])
|
||||||
|
|
||||||
return {
|
return {
|
||||||
'data': np.uint8(o.IPF_color(o.to_SST(l))*255),
|
'data': np.uint8(o.IPF_color(l)*255),
|
||||||
'label': 'IPFcolor_[{} {} {}]'.format(*m),
|
'label': 'IPFcolor_[{} {} {}]'.format(*m),
|
||||||
'meta' : {
|
'meta' : {
|
||||||
'Unit': '8-bit RGB',
|
'Unit': '8-bit RGB',
|
||||||
|
|
|
@ -231,11 +231,11 @@ class TestOrientation:
|
||||||
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
|
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
|
||||||
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
|
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
|
||||||
@pytest.mark.parametrize('proper',[True,False])
|
@pytest.mark.parametrize('proper',[True,False])
|
||||||
def test_IPF_color_vectorization(self,lattice,shape,vector,proper):
|
@pytest.mark.parametrize('in_SST',[True,False])
|
||||||
|
def test_IPF_color_vectorization(self,lattice,shape,vector,proper,in_SST):
|
||||||
o = Orientation.from_random(lattice=lattice,shape=shape)
|
o = Orientation.from_random(lattice=lattice,shape=shape)
|
||||||
poles = o.to_SST(vector=vector,proper=proper)
|
for r, theO in zip(o.IPF_color(vector,in_SST=in_SST,proper=proper).reshape((-1,3)),o.flatten()):
|
||||||
for r, theO in zip(o.IPF_color(poles,proper=proper).reshape((-1,3)),o.flatten()):
|
assert np.allclose(r,theO.IPF_color(vector,in_SST=in_SST,proper=proper))
|
||||||
assert np.allclose(r,theO.IPF_color(theO.to_SST(vector=vector,proper=proper),proper=proper))
|
|
||||||
|
|
||||||
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
||||||
@pytest.mark.parametrize('a,b',[
|
@pytest.mark.parametrize('a,b',[
|
||||||
|
@ -263,14 +263,14 @@ class TestOrientation:
|
||||||
cube = Orientation(lattice='cubic')
|
cube = Orientation(lattice='cubic')
|
||||||
for direction in set(permutations(np.array(color['direction']))):
|
for direction in set(permutations(np.array(color['direction']))):
|
||||||
assert np.allclose(np.array(color['RGB']),
|
assert np.allclose(np.array(color['RGB']),
|
||||||
cube.IPF_color(cube.to_SST(vector=np.array(direction),proper=proper),proper=proper))
|
cube.IPF_color(vector=np.array(direction),proper=proper))
|
||||||
|
|
||||||
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
||||||
@pytest.mark.parametrize('proper',[True,False])
|
@pytest.mark.parametrize('proper',[True,False])
|
||||||
def test_IPF_equivalent(self,set_of_quaternions,lattice,proper):
|
def test_IPF_equivalent(self,set_of_quaternions,lattice,proper):
|
||||||
direction = np.random.random(3)*2.0-1.0
|
direction = np.random.random(3)*2.0-1.0
|
||||||
o = Orientation(rotation=set_of_quaternions,lattice=lattice).equivalent
|
o = Orientation(rotation=set_of_quaternions,lattice=lattice).equivalent
|
||||||
color = o.IPF_color(o.to_SST(vector=direction,proper=proper),proper=proper)
|
color = o.IPF_color(vector=direction,proper=proper)
|
||||||
assert np.allclose(np.broadcast_to(color[0,...],color.shape),color)
|
assert np.allclose(np.broadcast_to(color[0,...],color.shape),color)
|
||||||
|
|
||||||
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
@pytest.mark.parametrize('lattice',Orientation.crystal_families)
|
||||||
|
|
|
@ -177,7 +177,7 @@ class TestResult:
|
||||||
lattice={'fcc':'cF',
|
lattice={'fcc':'cF',
|
||||||
'bcc':'cI',
|
'bcc':'cI',
|
||||||
'hex':'hP'}[crystal_structure])
|
'hex':'hP'}[crystal_structure])
|
||||||
in_memory = np.uint8(c.IPF_color(c.to_SST(np.array(d)))*255)
|
in_memory = np.uint8(c.IPF_color(np.array(d))*255)
|
||||||
in_file = default.read_dataset(loc['color'])
|
in_file = default.read_dataset(loc['color'])
|
||||||
assert np.allclose(in_memory,in_file)
|
assert np.allclose(in_memory,in_file)
|
||||||
|
|
||||||
|
@ -210,7 +210,7 @@ class TestResult:
|
||||||
in_memory = mechanics.Mises_stress(default.read_dataset(loc['sigma'],0)).reshape(-1,1)
|
in_memory = mechanics.Mises_stress(default.read_dataset(loc['sigma'],0)).reshape(-1,1)
|
||||||
in_file = default.read_dataset(loc['sigma_vM'],0)
|
in_file = default.read_dataset(loc['sigma_vM'],0)
|
||||||
assert np.allclose(in_memory,in_file)
|
assert np.allclose(in_memory,in_file)
|
||||||
|
|
||||||
def test_add_Mises_invalid(self,default):
|
def test_add_Mises_invalid(self,default):
|
||||||
default.add_Cauchy('P','F')
|
default.add_Cauchy('P','F')
|
||||||
default.add_calculation('sigma_y','#sigma#',unit='y')
|
default.add_calculation('sigma_y','#sigma#',unit='y')
|
||||||
|
|
Loading…
Reference in New Issue