Lee's work begin here.
We rewrote the Tiger Compiler labs using the C++ programming language because some features in C++ like inheritance and polymorphism are more suitable for these labs and less error-prone.
We provide you all the codes of all labs at one time. In each lab, you only need to code in some of the directories.
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Tiger compiler in C++ uses flexc++ and bisonc++ instead of flex and bison because flexc++ and bisonc++ is more flexc++ and bisonc++ are able to generate pure C++ codes instead of C codes wrapped in C++ files.
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Tiger compiler in C++ uses namespace for modularization and uses inheritance and polymorphism to replace unions used in the old labs.
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Tiger compiler in C++ uses CMake instead of Makefile to compile and build the target.
We provide you a Docker image that has already installed all the dependencies. You can compile your codes directly in this Docker image.
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Install Docker.
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Run a docker container and mount the lab directory on it.
# Run this command in the root directory of the project
docker run -it --privileged -p 2222:22 -v $(pwd):/home/stu/tiger-compiler ipadsse302/tigerlabs_env:latest # or make docker-runThere are five makeable targets in total, including test_slp, test_lex, test_parse, test_semant, and tiger-compiler.
- Run container environment and attach to it
# Run container and directly attach to it
docker run -it --privileged -p 2222:22 \
-v $(pwd):/home/stu/tiger-compiler ipadsse302/tigerlabs_env:latest # or `make docker-run`
# Or run container in the backend and attach to it later
docker run -dt --privileged -p 2222:22 \
-v $(pwd):/home/stu/tiger-compiler ipadsse302/tigerlabs_env:latest
docker attach ${YOUR_CONTAINER_ID}- Build in the container environment
mkdir build && cd build && cmake .. && make test_xxx # or `make build`- Debug using gdb or any IDEs
gdb test_xxx # e.g. `gdb test_slp`Note: we will use -DCMAKE_BUILD_TYPE=Release to grade your labs, so make
sure your lab passed the released version
Use make
make gradelabxor run the script manually
./scripts/grade.sh [lab1|lab2|lab3|lab4|lab5|lab6|all] # e.g. `./scripts/grade.sh lab1`You can test all the labs by
make gradeallRun make register and input your name in English and student ID. You can
check it in the .info file generated later.
We are using CI in GitLab to grade your labs automatically. So please make
sure the Enable shared runners for this project
under Your GitLab repo - Settings - CI/CD is turned on.
Push your code to your GitLab repo
git add somefiles
git commit -m "A message"
git pushWait for a while and check the latest pipeline (Your GitLab repo - CI/CD - Pipelines) passed. Otherwise, you won't get a full score in your lab.
We provide an LLVM-style .clang-format file in the project directory. You can use it to format your code.
Use clang-format command
find . \( -name "*.h" -o -iname "*.cc" \) | xargs clang-format -i -style=file # or make format
or config the clang-format file in your IDE and use the built-in format feature in it.
Utility commands can be found in the Makefile. They can be directly run by make xxx in a Unix shell. Windows users cannot use the make command, but the contents of Makefile can still be used as a reference for the available commands.
You can post questions, issues, feedback, or even MR proposals through our main GitLab repository. We are rapidly refactoring the original C tiger compiler implementation into modern C++ style, so any suggestion to make this lab better is welcomed.
You can read external documentations on our course website: