Merge branch 'account-for-floating-point-precision-in-orientation' into 'development'
ensures that at least one orientation in the FZ is found See merge request damask/DAMASK!337
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@ -524,26 +524,26 @@ class Orientation(Rotation):
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if self.family is None:
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raise ValueError('Missing crystal symmetry')
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rho_abs = np.abs(self.as_Rodrigues_vector(compact=True))
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rho_abs = np.abs(self.as_Rodrigues_vector(compact=True))*(1.-1.e-9)
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with np.errstate(invalid='ignore'):
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# using '*'/prod for 'and'
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if self.family == 'cubic':
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return (np.prod(np.sqrt(2)-1. >= rho_abs,axis=-1) *
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(1. >= np.sum(rho_abs,axis=-1))).astype(np.bool)
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(1. >= np.sum(rho_abs,axis=-1))).astype(bool)
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elif self.family == 'hexagonal':
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return (np.prod(1. >= rho_abs,axis=-1) *
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(2. >= np.sqrt(3)*rho_abs[...,0] + rho_abs[...,1]) *
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(2. >= np.sqrt(3)*rho_abs[...,1] + rho_abs[...,0]) *
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(2. >= np.sqrt(3) + rho_abs[...,2])).astype(np.bool)
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(2. >= np.sqrt(3) + rho_abs[...,2])).astype(bool)
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elif self.family == 'tetragonal':
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return (np.prod(1. >= rho_abs[...,:2],axis=-1) *
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(np.sqrt(2) >= rho_abs[...,0] + rho_abs[...,1]) *
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(np.sqrt(2) >= rho_abs[...,2] + 1.)).astype(np.bool)
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(np.sqrt(2) >= rho_abs[...,2] + 1.)).astype(bool)
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elif self.family == 'orthorhombic':
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return (np.prod(1. >= rho_abs,axis=-1)).astype(np.bool)
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return (np.prod(1. >= rho_abs,axis=-1)).astype(bool)
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elif self.family == 'monoclinic':
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return (1. >= rho_abs[...,1]).astype(np.bool)
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return (1. >= rho_abs[...,1]).astype(bool)
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else:
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return np.all(np.isfinite(rho_abs),axis=-1)
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@ -567,28 +567,28 @@ class Orientation(Rotation):
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if self.family is None:
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raise ValueError('Missing crystal symmetry')
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rho = self.as_Rodrigues_vector(compact=True)
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rho = self.as_Rodrigues_vector(compact=True)*(1.0-1.0e-9)
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with np.errstate(invalid='ignore'):
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if self.family == 'cubic':
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return ((rho[...,0] >= rho[...,1]) &
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(rho[...,1] >= rho[...,2]) &
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(rho[...,2] >= 0)).astype(np.bool)
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(rho[...,2] >= 0)).astype(bool)
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elif self.family == 'hexagonal':
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return ((rho[...,0] >= rho[...,1]*np.sqrt(3)) &
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(rho[...,1] >= 0) &
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(rho[...,2] >= 0)).astype(np.bool)
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(rho[...,2] >= 0)).astype(bool)
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elif self.family == 'tetragonal':
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return ((rho[...,0] >= rho[...,1]) &
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(rho[...,1] >= 0) &
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(rho[...,2] >= 0)).astype(np.bool)
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(rho[...,2] >= 0)).astype(bool)
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elif self.family == 'orthorhombic':
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return ((rho[...,0] >= 0) &
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(rho[...,1] >= 0) &
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(rho[...,2] >= 0)).astype(np.bool)
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(rho[...,2] >= 0)).astype(bool)
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elif self.family == 'monoclinic':
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return ((rho[...,1] >= 0) &
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(rho[...,2] >= 0)).astype(np.bool)
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(rho[...,2] >= 0)).astype(bool)
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else:
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return np.ones_like(rho[...,0],dtype=bool)
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@ -7,6 +7,7 @@ from damask import Orientation
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from damask import Table
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from damask import lattice
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from damask import util
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from damask import grid_filters
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@pytest.fixture
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@ -235,6 +236,16 @@ class TestOrientation:
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o = Orientation.from_random(lattice=lattice,shape=shape)
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for r, theO in zip(o.reduced.flatten(),o.flatten()):
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assert r == theO.reduced
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@pytest.mark.parametrize('lattice',Orientation.crystal_families)
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def test_reduced_corner_cases(self,lattice):
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# test whether there is always a sym-eq rotation that falls into the FZ
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N = np.random.randint(10,40)
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size = np.ones(3)*np.pi**(2./3.)
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grid = grid_filters.coordinates0_node([N+1,N+1,N+1],size,-size*.5)
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evenly_distributed = Orientation.from_cubochoric(c=grid[:-2,:-2,:-2],lattice=lattice)
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assert evenly_distributed.shape == evenly_distributed.reduced.shape
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@pytest.mark.parametrize('lattice',Orientation.crystal_families)
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@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
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