generalized stereographic projection to cope with all three directions (x,y,Z)
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@ -193,7 +193,7 @@ def scale_to_coprime(v):
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return m
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def project_stereographic(vector,normalize=False):
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def project_stereographic(vector,normalize=False,direction='z'):
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"""
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Apply stereographic projection to vector.
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@ -203,16 +203,21 @@ def project_stereographic(vector,normalize=False):
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Vector coordinates to be projected.
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normalize : bool
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Ensure unit length for vector. Defaults to False.
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direction : str or int
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Projection direction 'x'|0, 'y'|1, or 'z'|2.
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Defaults to 'z'.
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Returns
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-------
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coordinates : numpy.ndarray of shape (...,2)
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coordinates : numpy.ndarray of shape (...,3)
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Projected coordinates.
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"""
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v_ = vector/np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector
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return np.block([v_[...,:2]/(1+np.abs(v_[...,2:3])),
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np.zeros_like(v_[...,2:3])])
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shift = 2-('xyzXYZ'.index(direction)%3 if isinstance(direction,str) else int(direction))
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v_ = np.roll(vector/np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector,
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shift,axis=-1)
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return np.roll(np.block([v_[...,:2]/(1+np.abs(v_[...,2:3])),np.zeros_like(v_[...,2:3])]),
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-shift,axis=-1)
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def execution_stamp(class_name,function_name=None):
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@ -49,17 +49,17 @@ class TestUtil:
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dist_sampled = np.histogram(centers[selected],bins)[0]/N_samples*np.sum(dist)
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assert np.sqrt(((dist - dist_sampled) ** 2).mean()) < .025 and selected.shape[0]==N_samples
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@pytest.mark.parametrize('point,normalize,answer',
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@pytest.mark.parametrize('point,normalize,direction,answer',
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[
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([1,0,0],False,[1,0,0]),
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([1,0,0],True, [1,0,0]),
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([0,1,1],False,[0,0.5,0]),
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([0,1,1],True, [0,0.41421356,0]),
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([1,1,1],False,[0.5,0.5,0]),
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([1,1,1],True, [0.3660254, 0.3660254, 0]),
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([1,0,0],False,'z',[1,0,0]),
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([1,0,0],True, 'z',[1,0,0]),
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([0,1,1],False,'z',[0,0.5,0]),
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([0,1,1],True, 'y',[0,0,0.41421356]),
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([1,1,1],False,'x',[0,0.5,0.5]),
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([1,1,1],True, 'y',[0.3660254, 0,0.3660254]),
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])
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def test_project_stereographic(self,point,normalize,answer):
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assert np.allclose(util.project_stereographic(np.array(point),normalize=normalize),answer)
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def test_project_stereographic(self,point,normalize,direction,answer):
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assert np.allclose(util.project_stereographic(np.array(point),normalize=normalize,direction=direction),answer)
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@pytest.mark.parametrize('fro,to,mode,answer',
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[
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