HarfBuzz text shaping engine
http://harfbuzz.github.io/
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2.2 KiB
2.2 KiB
Build & Run
Depending on what area you are working in change or add HB_DEBUG_<whatever>
.
Values defined in hb-debug.hh
.
# quick sanity check
time (make -j4 CPPFLAGS='-DHB_DEBUG_SUBSET=100' \
&& (make -j4 -C test/api check || cat test/api/test-suite.log))
# slower sanity check
time (make -j4 CPPFLAGS='-DHB_DEBUG_SUBSET=100' \
&& make -j4 -C src check \
&& make -j4 -C test/api check \
&& make -j4 -C test/subset check)
# confirm you didn't break anything else
time (make -j4 CPPFLAGS='-DHB_DEBUG_SUBSET=100' \
&& make -j4 check)
# often catches files you didn't add, e.g. test fonts to EXTRA_DIST
make distcheck
Run tests with asan
NOTE: this sometimes yields harder to read results than the full fuzzer
# For nice symbols tell asan how to symoblize. Note that it doesn't like versioned copies like llvm-symbolizer-3.8
# export ASAN_SYMBOLIZER_PATH=path to version-less llvm-symbolizer
# ex
export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-3.8/bin/llvm-symbolizer
./configure CC=clang CXX=clang++ CPPFLAGS=-fsanitize=address LDFLAGS=-fsanitize=address
# make/run tests as usual
Debug with GDB
cd ./util
../libtool --mode=execute gdb --args ./hb-subset ...
Enable Debug Logging
# make clean if you previously build w/o debug logging
make CPPFLAGS=-DHB_DEBUG_SUBSET=100
Build and Test via CMake
Note: You'll need to first install ninja-build via apt-get.
cd harfbuzz
mkdir build
cmake -DHB_CHECK=ON -Bbuild -H. -GNinja && ninja -Cbuild && CTEST_OUTPUT_ON_FAILURE=1 ninja -Cbuild test
Test with the Fuzzer
# push your changs to a branch on googlefonts/harfbuzz
# In a local copy of oss-fuzz, edit projects/harfbuzz/Dockerfile
# Change the git clone to pull your branch
# Do this periodically
sudo python infra/helper.py build_image harfbuzz
# Do these to update/run
sudo python infra/helper.py build_fuzzers --sanitizer address harfbuzz
sudo python infra/helper.py run_fuzzer harfbuzz hb-subset-fuzzer
Profiling
make clean
./configure CXXFLAGS="-fno-omit-frame-pointer -g"
make
perf record -o <perf output file> -g <command to run>
perf report -i<perf output file>