# BSD 3-Clause License # # Copyright (c) 2016, 2017, The University of Sydney. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # * Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import fileinput import glob import sys from os.path import dirname, join, abspath import pytest src_path = join(dirname(abspath(__file__)), "..") sys.path.insert(0, src_path) DISASM_TEST_PROGS = "data/dasm/*.dasm" DISASM_TEST_PROGS = join(dirname(abspath(__file__)), DISASM_TEST_PROGS) @pytest.fixture(params=list(glob.glob(DISASM_TEST_PROGS))) def cfg(request): from src.tac_cfg import TACGraph import src.optimise as optimise # TODO: Fix this with open(request.param) as f: disasm = f.read() cfg = TACGraph.from_dasm(fileinput.input()) optimise.fold_constants(cfg) cfg.hook_up_jumps() yield cfg