/usr/lib/python2.7/dist-packages/ffc/tensor/referencetensor.py is in python-ffc 2016.2.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | # -*- coding: utf-8 -*-
# Copyright (C) 2004-2009 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 Garth N. Wells 2006
# Modified by Kristian B. Oelgaard, 2009.
#
# First added: 2004-11-03
# Last changed: 2011-11-28
# FFC modules.
from ffc.log import debug
# FFC tensor representation modules.
from .monomialintegration import integrate
from .monomialtransformation import MonomialIndex
from .multiindex import create_multiindex
class ReferenceTensor:
"""
This class represents the reference tensor for a monomial term of
a multilinear form.
"""
def __init__(self,
monomial,
integral_type,
facet0, facet1,
quadrature_order,
quadrature_rule,
cell):
"Create reference tensor for given monomial."
# Compute reference tensor
self.A0 = integrate(monomial,
integral_type,
facet0, facet1,
quadrature_order,
quadrature_rule,
cell)
# Extract indices
primary_indices = monomial.extract_unique_indices(MonomialIndex.PRIMARY)
secondary_indices = monomial.extract_unique_indices(MonomialIndex.SECONDARY)
internal_indices = monomial.extract_unique_indices(MonomialIndex.INTERNAL)
# Create multiindices
self.primary_multi_index = create_multiindex(primary_indices)
self.secondary_multi_index = create_multiindex(secondary_indices)
self.internal_multi_index = create_multiindex(internal_indices)
# Store monomial
self.monomial = monomial
debug("Primary multi index: " + str(self.primary_multi_index))
debug("Secondary multi index: " + str(self.secondary_multi_index))
debug("Internal multi index: " + str(self.internal_multi_index))
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