Source code for ffc.restrictedelement

# -*- coding: utf-8 -*-
# Copyright (C) 2010 Anders Logg
#
# This file is part of FFC.
#
# FFC is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# FFC is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with FFC. If not, see <http://www.gnu.org/licenses/>.
#
# Modified by Marie Rognes, 2010.

import numpy
from ufl.utils.sorting import sorted_by_key
from ffc.log import error


[docs]class RestrictedElement: "Create a restriction of a given FIAT element." def __init__(self, element, indices, restriction_domain): if len(indices) == 0: error("No point in creating empty RestrictedElement.") self._element = element self._indices = indices self._entity_dofs = _extract_entity_dofs(element, indices) self._restriction_domain = restriction_domain
[docs] def space_dimension(self): return len(self._indices)
[docs] def value_shape(self): return self._element.value_shape()
[docs] def degree(self): return self._element.degree()
[docs] def entity_dofs(self): return self._entity_dofs
[docs] def mapping(self): mappings = self._element.mapping() return [mappings[i] for i in self._indices]
[docs] def dual_basis(self): dual = self._element.dual_basis() return [dual[i] for i in self._indices]
[docs] def tabulate(self, order, points): result = self._element.tabulate(order, points) extracted = {} for (dtuple, values) in sorted_by_key(result): extracted[dtuple] = numpy.array([values[i] for i in self._indices]) return extracted
# Used in evaluate_basis:
[docs] def get_coeffs(self): coefficients = self._element.get_coeffs() return numpy.array([coefficients[i] for i in self._indices])
[docs] def dmats(self): return self._element.dmats()
[docs] def get_num_members(self, arg): return self._element.get_num_members(arg)
[docs] def restriction_domain(self): return self._restriction_domain
def _extract_entity_dofs(element, indices): # FIXME: Readability counts entity_dofs = element.entity_dofs() dofs = {} for (dim, entities) in sorted_by_key(entity_dofs): dofs[dim] = {} for (entity, all_dofs) in sorted_by_key(entities): dofs[dim][entity] = [] for index in all_dofs: if index in indices: # print "index = ", index i = indices.index(index) dofs[dim][entity] += [i] return dofs