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]) int_array1 = numpy.array([1, 0, 1], dtype=numpy.int) int_array2 = numpy.array([0, 1, 0], dtype=numpy.int) assert algs.all(algs.bitwise_or(int_array1, int_array2) == 1) assert algs.all(algs.bitwise_or(int_array1, dsa.NoneArray) == int_array1) assert algs.all(algs.bitwise_or(dsa.NoneArray, int_array1) == int_array1) comp_array1 = dsa.VTKCompositeDataArray([int_array1, int_array2]) comp_array2 = dsa.VTKCompositeDataArray([int_array2, int_array1]) comp_array3 = dsa.VTKCompositeDataArray([int_array2, dsa.NoneArray]) assert algs.all(algs.bitwise_or(comp_array1, comp_array2) == 1)
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])
ssource = vtk.vtkSphereSource()
ssource.Update()
output = ssource.GetOutput()
fd = vtk.vtkFloatArray()
fd.SetNumberOfTuples(11)
fd.FillComponent(0, 5)
fd.SetName("field array")
