/usr/lib/python2.7/dist-packages/ffc/tensor/costestimation.py is in python-ffc 1.3.0-2.
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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 | # 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/>.
#
# First added: 2010-01-25
# Last changed: 2010-01-25
# FFC modules
from ffc.log import debug
# FFC tensor representation modules
from ffc.tensor.monomialextraction import extract_monomial_form
from ffc.tensor.monomialtransformation import transform_monomial_form
def estimate_cost(integral, function_replace_map):
"""
Estimate cost of tensor representation for integrand. The cost is
computed as the sum of the number of coefficients and derivatives,
if the integrand can be represented as a monomial, and -1 if not.
"""
# TODO: Implement this to take integrand instead of integral? May allow simplification inn caller code.
# Extract monomial integrand
try:
monomial_form = extract_monomial_form([integral], function_replace_map)
transform_monomial_form(monomial_form)
except Exception, exception:
debug("Monomial extraction failed: " + str(exception))
return -1
# Check that we get just one integral
if not len(monomial_form.integrals) == 1:
error("Expecting just one integrand.")
# Compute cost
(integrand, measure) = monomial_form.integrals[0]
cost = 0
for monomial in integrand.monomials:
cost = max(cost, len(monomial.coefficients) + len(monomial.transforms))
return cost
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