/usr/share/pyshared/ffc/optimization.py is in python-ffc 1.0.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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Compiler stage 5: optimization
------------------------------
This module implements the optimization of an intermediate code
representation.
"""
# Copyright (C) 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/>.
#
# First added: 2009-12-22
# Last changed: 2011-01-11
# FFC modules
from ffc.log import info, begin, end
# FFC specialized code generation modules
from ffc import quadrature
from ffc import tensor
def optimize_ir(ir, parameters):
"Optimize intermediate form representation."
begin("Compiler stage 3: Optimizing intermediate representation")
# Check if optimization is requested
if not parameters["optimize"]:
info("Skipping optimizations, add -O to optimize")
end()
return ir
# Extract representations
ir_elements, ir_dofmaps, ir_integrals, ir_forms = ir
# Iterate over integrals
oir_integrals = [_optimize_integral_ir(ir, parameters) for ir in ir_integrals]
end()
return ir_elements, ir_dofmaps, oir_integrals, ir_forms
def _optimize_integral_ir(ir, parameters):
"Compute optimized intermediate represention of integral."
# Select representation
if ir["representation"] == "quadrature":
r = quadrature
elif ir["representation"] == "tensor":
r = tensor
else:
error("Unknown representation: %s" % ir["representation"])
# Optimize representation
oir = r.optimize_integral_ir(ir, parameters)
return ir
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