def compare(arr, tol):
assert algs.all(algs.abs(arr) < tol)
g3.Update()
cd = dsa.CompositeDataSet(g.GetOutput())
randomVec = cd.PointData['BrownianVectors']
elev = cd.PointData['Elevation']
cd2 = dsa.CompositeDataSet(g2.GetOutput())
elev2 = cd2.PointData['Elevation']
cd3 = dsa.CompositeDataSet(g3.GetOutput())
elev3 = cd3.PointData['Elevation']
npa = randomVec.Arrays[0]
# Test operators
assert algs.all(1 + randomVec - 1 - randomVec < 1E-4)
assert (1 + randomVec).DataSet is randomVec.DataSet
# Test slicing and indexing
assert algs.all(
randomVec[randomVec[:, 0] > 0.2].Arrays[0] - npa[npa[:, 0] > 0.2] < 1E-7)
assert algs.all(randomVec[algs.where(randomVec[:, 0] > 0.2)].Arrays[0] -
npa[numpy.where(npa[:, 0] > 0.2)] < 1E-7)
assert algs.all(
randomVec[dsa.VTKCompositeDataArray([(slice(None, None, None),
slice(0, 2, None)), 2])].Arrays[0] -
npa[:, 0:2] < 1E-6)
# Test ufunc
assert algs.all(algs.cos(randomVec) - numpy.cos(npa) < 1E-7)
assert (1 + randomVec).DataSet is randomVec.DataSet # Test slicing and indexing compare(randomVec[randomVec[:,0] > 0.2].Arrays[0] - npa[npa[:,0] > 0.2], 1E-7) compare(randomVec[algs.where(randomVec[:,0] > 0.2)].Arrays[0] - npa[numpy.where(npa[:,0] > 0.2)], 1E-7) compare(randomVec[dsa.VTKCompositeDataArray([(slice(None, None, None), slice(0,2,None)), 2])].Arrays[0] - npa[:, 0:2], 1E-6) # Test ufunc compare(algs.cos(randomVec) - numpy.cos(npa), 1E-7) assert algs.cos(randomVec).DataSet is randomVec.DataSet assert algs.in1d(elev, [0,1]) == [item in [0, 1] for item in elev] # Various numerical ops implemented in VTK g = algs.gradient(elev) assert algs.all(g[0] == (1, 0, 0)) v = algs.make_vector(elev, g[:,0], elev) assert algs.all(algs.gradient(v) == [[1, 0, 1], [0, 0, 0], [0, 0, 0]]) v = algs.make_vector(elev, g[:,0], elev2) assert algs.all(algs.curl(v) == [1, 0, 0]) v = algs.make_vector(elev, elev2, 2*elev3) g = algs.gradient(v) assert g.DataSet is v.DataSet assert algs.all(algs.det(g) == 2) assert algs.all(algs.eigenvalue(g) == [2, 1, 1]) assert algs.all(randomVec[:,0] == randomVec[:,0])
1E-7)
compare(
randomVec[algs.where(randomVec[:, 0] > 0.2)].Arrays[0] -
npa[numpy.where(npa[:, 0] > 0.2)], 1E-7)
compare(
randomVec[dsa.VTKCompositeDataArray([
(slice(None, None, None), slice(0, 2, None)), 2
])].Arrays[0] - npa[:, 0:2], 1E-6)
# Test ufunc
compare(algs.cos(randomVec) - numpy.cos(npa), 1E-7)
assert algs.cos(randomVec).DataSet is randomVec.DataSet
# Various numerical ops implemented in VTK
g = algs.gradient(elev)
assert algs.all(g[0] == (1, 0, 0))
v = algs.make_vector(elev, g[:, 0], elev)
assert algs.all(algs.gradient(v) == [[1, 0, 1], [0, 0, 0], [0, 0, 0]])
v = algs.make_vector(elev, g[:, 0], elev2)
assert algs.all(algs.curl(v) == [1, 0, 0])
v = algs.make_vector(elev, elev2, 2 * elev3)
g = algs.gradient(v)
assert g.DataSet is v.DataSet
assert algs.all(algs.det(g) == 2)
assert algs.all(algs.eigenvalue(g) == [2, 1, 1])
assert algs.all(randomVec[:, 0] == randomVec[:, 0])
g3.Update() cd = dsa.CompositeDataSet(g.GetOutput()) randomVec = cd.PointData['BrownianVectors'] elev = cd.PointData['Elevation'] cd2 = dsa.CompositeDataSet(g2.GetOutput()) elev2 = cd2.PointData['Elevation'] cd3 = dsa.CompositeDataSet(g3.GetOutput()) elev3 = cd3.PointData['Elevation'] npa = randomVec.Arrays[0] # Test operators assert algs.all(1 + randomVec - 1 - randomVec < 1E-4) assert (1 + randomVec).DataSet is randomVec.DataSet # Test slicing and indexing assert algs.all(randomVec[randomVec[:,0] > 0.2].Arrays[0] - npa[npa[:,0] > 0.2] < 1E-7) assert algs.all(randomVec[algs.where(randomVec[:,0] > 0.2)].Arrays[0] - npa[numpy.where(npa[:,0] > 0.2)] < 1E-7) assert algs.all(randomVec[dsa.VTKCompositeDataArray([(slice(None, None, None), slice(0,2,None)), 2])].Arrays[0] - npa[:, 0:2] < 1E-6) # Test ufunc assert algs.all(algs.cos(randomVec) - numpy.cos(npa) < 1E-7) assert algs.cos(randomVec).DataSet is randomVec.DataSet # Various numerical ops implemented in VTK g = algs.gradient(elev) assert algs.all(g[0] == (1, 0, 0))
def compare(arr, tol):
assert algs.all(algs.abs(arr) < tol)
compare(1 + randomVec - 1 - randomVec, 1E-4) assert (1 + randomVec).DataSet is randomVec.DataSet # Test slicing and indexing compare(randomVec[randomVec[:,0] > 0.2].Arrays[0] - npa[npa[:,0] > 0.2], 1E-7) compare(randomVec[algs.where(randomVec[:,0] > 0.2)].Arrays[0] - npa[numpy.where(npa[:,0] > 0.2)], 1E-7) compare(randomVec[dsa.VTKCompositeDataArray([(slice(None, None, None), slice(0,2,None)), 2])].Arrays[0] - npa[:, 0:2], 1E-6) # Test ufunc compare(algs.cos(randomVec) - numpy.cos(npa), 1E-7) assert algs.cos(randomVec).DataSet is randomVec.DataSet # Various numerical ops implemented in VTK g = algs.gradient(elev) assert algs.all(g[0] == (1, 0, 0)) v = algs.make_vector(elev, g[:,0], elev) assert algs.all(algs.gradient(v) == [[1, 0, 0], [0, 0, 0], [1, 0, 0]]) v = algs.make_vector(elev, g[:,0], elev2) assert algs.all(algs.curl(v) == [1, 0, 0]) v = algs.make_vector(elev, elev2, 2*elev3) g = algs.gradient(v) assert g.DataSet is v.DataSet assert algs.all(algs.det(g) == 2) assert algs.all(algs.eigenvalue(g) == [2, 1, 1]) assert algs.all(randomVec[:,0] == randomVec[:,0])
compare(1 + randomVec - 1 - randomVec, 1E-4) assert (1 + randomVec).DataSet is randomVec.DataSet # Test slicing and indexing compare(randomVec[randomVec[:,0] > 0.2].Arrays[0] - npa[npa[:,0] > 0.2], 1E-7) compare(randomVec[algs.where(randomVec[:,0] > 0.2)].Arrays[0] - npa[numpy.where(npa[:,0] > 0.2)], 1E-7) compare(randomVec[dsa.VTKCompositeDataArray([(slice(None, None, None), slice(0,2,None)), 2])].Arrays[0] - npa[:, 0:2], 1E-6) # Test ufunc compare(algs.cos(randomVec) - numpy.cos(npa), 1E-7) assert algs.cos(randomVec).DataSet is randomVec.DataSet # Various numerical ops implemented in VTK g = algs.gradient(elev) assert algs.all(g[0] == (1, 0, 0)) v = algs.make_vector(elev, g[:,0], elev) assert algs.all(algs.gradient(v) == [[1, 0, 1], [0, 0, 0], [0, 0, 0]]) v = algs.make_vector(elev, g[:,0], elev2) assert algs.all(algs.curl(v) == [1, 0, 0]) v = algs.make_vector(elev, elev2, 2*elev3) g = algs.gradient(v) assert g.DataSet is v.DataSet assert algs.all(algs.det(g) == 2) assert algs.all(algs.eigenvalue(g) == [2, 1, 1]) assert algs.all(randomVec[:,0] == randomVec[:,0])