Fri, 08 May 2026 17:28:21 -0500
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# import weakref import numpy as np import ufl from dolfinx import fem from dolfinx.fem.function import Function, FunctionSpace # _mass_matrices = weakref.WeakKeyDictionary() _mass_matrices = {} def get_mass_matrix(space: FunctionSpace): # idex = space # Does not work due to fenicx being garbage idx = id(space) # FIXME: This leaks memory 🤯 if idx not in _mass_matrices: u = ufl.TrialFunction(space) v = ufl.TestFunction(space) a = fem.form(ufl.inner(u, v) * ufl.dx) m = fem.petsc.assemble_matrix(a) m.assemble() _mass_matrices[idx] = m return _mass_matrices[idx] def dot(f: Function, g: Function): if g.function_space != f.function_space: raise ValueError("Function spaces need to agree") m = get_mass_matrix(f.function_space) f_vec = f.x.petsc_vec g_vec = g.x.petsc_vec return g_vec.dot(m @ f_vec) def norm2_squared(f: Function): return dot(f, f) def norm2(f: Function): return norm2_squared(f).sqrt() def dist2_squared(f: Function, g: Function): if g.function_space != f.function_space: raise ValueError("Function spaces need to agree") m = get_mass_matrix(f.function_space) f_vec = f.x.petsc_vec g_vec = g.x.petsc_vec mf = m @ f_vec mg = m @ g_vec return f_vec.dot(mf) + 2 * g_vec.dot(mg) + g_vec.dot(mf) def dist2(f: Function, g: Function): return np.sqrt(dist2_squared(f, g))