cleaner and more efficient determination of ValueErrors
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@ -778,7 +778,7 @@ class Rotation:
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else:
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if np.any(qu[...,0] < 0.0):
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raise ValueError('quaternion with negative first (real) component')
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if not np.all(np.isclose(np.linalg.norm(qu,axis=-1), 1.0,rtol=0.0)):
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if not np.allclose(np.linalg.norm(qu,axis=-1), 1.0,rtol=0.0):
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raise ValueError('quaternion is not of unit length')
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return Rotation(qu)
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@ -807,7 +807,7 @@ class Rotation:
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raise ValueError('invalid shape')
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eu = np.radians(eu) if degrees else eu
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if np.any(eu < 0.0) or np.any(eu > 2.0*np.pi) or np.any(eu[...,1] > np.pi): # ToDo: No separate check for PHI
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if np.any(eu < 0.0) or np.any(eu > np.pi*np.array([2,1,2])):
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raise ValueError('Euler angles outside of [0..2π],[0..π],[0..2π]')
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return Rotation(Rotation._eu2qu(eu))
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@ -841,11 +841,10 @@ class Rotation:
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ax[...,0:3] *= -P
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if degrees: ax[..., 3] = np.radians(ax[...,3])
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if normalize: ax[...,0:3] /= np.linalg.norm(ax[...,0:3],axis=-1,keepdims=True)
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if np.any(ax[...,3] < 0.0) or np.any(ax[...,3] > np.pi):
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raise ValueError('axis–angle rotation angle outside of [0..π]')
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if not np.all(np.isclose(np.linalg.norm(ax[...,0:3],axis=-1), 1.0)):
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print(np.linalg.norm(ax[...,0:3],axis=-1))
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if normalize: ax[...,0:3] /= np.linalg.norm(ax[...,0:3],axis=-1,keepdims=True)
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elif not np.allclose(np.linalg.norm(ax[...,0:3],axis=-1), 1.0):
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raise ValueError('axis–angle rotation axis is not of unit length')
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return Rotation(Rotation._ax2qu(ax))
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@ -877,12 +876,12 @@ class Rotation:
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if not orthonormal:
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(U,S,Vh) = np.linalg.svd(om) # singular value decomposition
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om = np.einsum('...ij,...jl',U,Vh)
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if not np.all(np.isclose(np.linalg.det(om),1.0)):
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raise ValueError('orientation matrix has determinant ≠ 1')
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if not np.all(np.isclose(np.einsum('...i,...i',om[...,0],om[...,1]), 0.0)) \
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or not np.all(np.isclose(np.einsum('...i,...i',om[...,1],om[...,2]), 0.0)) \
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or not np.all(np.isclose(np.einsum('...i,...i',om[...,2],om[...,0]), 0.0)):
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elif not np.allclose(np.einsum('...i,...i',om[...,0],om[...,1]), 0.0) \
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or not np.allclose(np.einsum('...i,...i',om[...,1],om[...,2]), 0.0) \
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or not np.allclose(np.einsum('...i,...i',om[...,2],om[...,0]), 0.0):
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raise ValueError('orientation matrix is not orthogonal')
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if not np.allclose(np.linalg.det(om),1.0):
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raise ValueError('orientation matrix has determinant ≠ 1')
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return Rotation(Rotation._om2qu(om))
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@ -952,10 +951,10 @@ class Rotation:
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raise ValueError('P ∉ {-1,1}')
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ro[...,0:3] *= -P
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if normalize: ro[...,0:3] /= np.linalg.norm(ro[...,0:3],axis=-1,keepdims=True)
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if np.any(ro[...,3] < 0.0):
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raise ValueError('Rodrigues vector rotation angle is negative')
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if not np.all(np.isclose(np.linalg.norm(ro[...,0:3],axis=-1), 1.0)):
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if normalize: ro[...,0:3] /= np.linalg.norm(ro[...,0:3],axis=-1,keepdims=True)
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elif not np.allclose(np.linalg.norm(ro[...,0:3],axis=-1), 1.0):
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raise ValueError('Rodrigues vector rotation axis is not of unit length')
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return Rotation(Rotation._ro2qu(ro))
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@ -899,9 +899,10 @@ class TestRotation:
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assert np.allclose(rot_broadcast.quaternion[...,i,:], rot.quaternion)
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@pytest.mark.parametrize('function,invalid',[(Rotation.from_quaternion, np.array([-1,0,0,0])),
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@pytest.mark.parametrize('function,invalid',[(Rotation.from_quaternion, np.array([-1,0,0,0])),
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(Rotation.from_quaternion, np.array([1,1,1,0])),
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(Rotation.from_Euler_angles, np.array([1,4,0])),
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(Rotation.from_Euler_angles, np.array([-1,0,0])),
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(Rotation.from_axis_angle, np.array([1,0,0,4])),
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(Rotation.from_axis_angle, np.array([1,1,0,1])),
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(Rotation.from_matrix, np.random.rand(3,3)),
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@ -909,7 +910,8 @@ class TestRotation:
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(Rotation.from_Rodrigues_vector, np.array([1,0,0,-1])),
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(Rotation.from_Rodrigues_vector, np.array([1,1,0,1])),
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(Rotation.from_homochoric, np.array([2,2,2])),
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(Rotation.from_cubochoric, np.array([1.1,0,0])) ])
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(Rotation.from_cubochoric, np.array([1.1,0,0])),
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])
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def test_invalid_value(self,function,invalid):
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with pytest.raises(ValueError):
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function(invalid)
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