87a2fce1d7
Merge pull request !2660 from fotograf/cts-enum-rel-ops |
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.. | ||
abc2program | ||
assembler | ||
bytecode_optimizer | ||
cmake | ||
compiler | ||
cross_values | ||
disassembler | ||
docs | ||
dprof | ||
extras | ||
gn | ||
irtoc | ||
isa | ||
ldscripts | ||
libllvmbackend | ||
libpandabase | ||
libpandafile | ||
libziparchive | ||
models | ||
panda | ||
pandastdlib | ||
patches | ||
platforms | ||
plugins | ||
quickener | ||
runtime | ||
scripts | ||
static_linker | ||
templates | ||
tests | ||
tools | ||
verification | ||
.clang-format | ||
.clang-tidy | ||
.gn | ||
ark_config.gni | ||
ark_root.gni | ||
AUTHORS | ||
BUILD.gn | ||
CMakeLists.txt | ||
codecheck_ignore.json | ||
LICENSE | ||
OAT.xml | ||
README.md | ||
REVIEWERS |
Bootstrapping
Currently an officially supported host OS for development, building and testing is Ubuntu 18.04 and Ubuntu 20.04.
The full list of packages required for building and testing the project is specified in
scripts/deps-lists
files. These packages can be installed either manually or by running
a bootstrap script:
$ sudo ./scripts/install-deps-ubuntu
For more bootstrapping options, run:
$ sudo ./scripts/install-deps-ubuntu --help
E.g. for development purposes you should run:
$ sudo ./scripts/install-deps-ubuntu -i=dev
If you want additionally to install Python dependencies for running tests add a parameter -i=test
:
$ sudo ./scripts/install-deps-ubuntu -i=dev -i=test
It creates a virtual environment .venv-panda in your home directory with all required dependencies.
Later, tests Python scripts can activate this environment. If you already have run with the parameter -i=test
the second time it might be skipped.
Third party
Panda uses third party libraries. To install the libraries and apply patches, run:
$ ./scripts/install-third-party --force-clone
Building
Assuming your system is bootstrapped, please run the following commands in the root of the project:
$ mkdir panda-build
$ cd panda-build
$ cmake /path/to/panda/repository -GNinja
$ ninja
This will build Panda in debug mode with your default C++ compiler. All supported compilers can be
found in cmake/toolchain
. E.g., to build with Clang 14, pass a path to the corresponding toolchain
file during configuration:
$ cmake -DCMAKE_TOOLCHAIN_FILE=/path/to/panda/repository/cmake/toolchain/host_clang_14.cmake /path/to/panda/repository
Explicitly setting build types
Recommended way to build Panda is to set CMAKE_BUILD_TYPE
variable explicitly during configurations. Supported values are:
Mode | Assertions | Optimizations | Debug info |
---|---|---|---|
Debug |
Yes | None (CMake default) | -g (CMake default) |
Release |
No | -O3 (CMake default) |
None (CMake default) |
FastVerify |
Yes | -O2 |
-ggdb3 |
Notes:
- Other common modes (
RelWithDebInfo
,MinSizeRel
,DebugDetailed
) should work but they are not tested in CI. - Unlike
RelWithDebInfo
,FastVerify
preserves assertions (and provides more verbose debug information). Use this build type for running heavy test suites when you want both fast-running code and debuggability. DebugDetailed
gives more debug information thanDebug
, it can be usefull for debugging unit tests for example.
Example:
$ cmake -DCMAKE_BUILD_TYPE=Release ...
Building with LLVM Backend
If you want to build Ark with LLVM Backend you need to build first special modified LLVM 15 binaries.
If modified LLVM available in /opt
, the following two options are necessary
to build Ark with LLVM Backend functions.
cmake -DPANDA_LLVM_BACKEND=true -DLLVM_TARGET_PATH=/opt/llvm-15-{type}-{arch} ...
The PANDA_LLVM_BACKEND
enables:
- LLVM Irtoc Interpreter. Use
-DPANDA_LLVM_INTERPRETER=OFF
to disable. - LLVM Fastpaths compilation. Use
-DPANDA_LLVM_FASTPATH=OFF
to disable. - LLVM Interpreter inlining. Use
-DPANDA_LLVM_INTERPRETER_INLINING=OFF
to disable. - LLVM AOT compiler. Use
-DPANDA_LLVM_AOT=OFF
to disable.
PANDA_LLVM_INTERPRETER
, PANDA_LLVM_FASTPATH
, and PANDA_LLVM_AOT
are ON
if PANDA_LLVM_BACKEND
is turned on.
It is recommended to choose clang
compiler using toolchain files: -DCMAKE_TOOLCHAIN_FILE=cmake/toolchain/host_clang_14.cmake
.
By default GNU compiler c++
is used, but some features are not available in such gcc
builds.
Cross ARM64 build with LLVM Backend
For cross-build, when e.g. -DCMAKE_TOOLCHAIN_FILE=cmake/toolchain/cross-clang-14-qemu-aarch64.cmake
is used,
two LLVM-paths options are required when all LLVM Backend functions are enabled.
- First one is target LLVM, like
-DLLVM_TARGET_PATH=/opt/llvm-15-debug-aarch64
- It is required for AOT, so, alternatively, you can use
-DPANDA_LLVM_AOT=OFF
.
- It is required for AOT, so, alternatively, you can use
- Second one is host LLVM, like
-DLLVM_HOST_PATH=/opt/llvm-15-debug-x86_64
- It is required for Irtoc compilation, so, alternatively, you can disable appropriate Interpreter and FastPath options (see above).
Running tests with QEMU for cross-compiled aarch64/arm builds
Recommended QEMU version for running tests is 6.2.0 (but 5.1+ should be ok, too). By default, it is downloaded and installed during environment bootstrap. Any system-installed package is left intact. If recommended QEMU version is not accessible via $PATH it can be specified during configuration time:
# If QEMU is available as /opt/qemu-6.2.0/bin/qemu-aarch64
$ cmake -DQEMU_PREFIX=/opt/qemu-6.2.0 ...
Building with GN
Using bootstrap
Build arkts_bin
, ark_aot
, es2panda
, verifier_bin
and ets_interop_js_napi
targets.
./scripts/build-panda-with-gn
Mannually
- Getting GN binary
$ git clone https://gn.googlesource.com/gn
$ cd gn
$ python build/gen.py
$ ninja -C out
- Build panda using gn (
arkts_asm
,arkts_disasm
,ark_aot
,ark_aotdump
,arkts_bin
,es2panda
, andverifier_bin
targets are supported)
$ cd /path/to/panda/repository
$ /path/to/gn/repository/out/gn gen out
$ ninja -C out arkts_bin
When standard system, use
$ cd /path/to/panda/repository
$ /path/to/gn/repository/out/gn --args=is_standard_system=true gen out
$ ninja -C out <target name>
To use LLVM Backend add the following arguments:
$ /path/to/gn/repository/out/gn out is_llvmbackend=true llvm_target_dir="/opt/llvm-15-{type}-{arch}" ...
Setting is_llvmbackend=true
option enables the same scenarios as -DPANDA_LLVM_BACKEND=true
option in cmake builds
Further reading
- For more details, please see build system readme.
Testing
For testing, the following umbrella targets that guarantee building prior to running may be used:
tests
, for running all testing suites.tests_full
, for running all testing suites and various code linters.
Clang tools
clang-format
and clang-tidy
checks are integrated into build system and can be called by target of build system:
$ ninja code-style-check # clang-format
$ ninja clang-tidy-check # clang-tidy
Test coverage
In order to measure bytecode optimizer coverage, configure your build with -DENABLE_BYTECODE_OPTIMIZER_COVERAGE=true. Then run:
$ ninja bytecode_optimizer_coverage
Benchmarking
To build and run benchmarks, please use the umbrella target benchmarks
or any of its
dependencies. Please see the root CMakeLists.txt
for more details.
NB! Make sure that you configure your build with -DCMAKE_BUILD_TYPE=Release
, otherwise
your run will most likely be dead slow.
Running
Running assembler
Assuming that you are in panda-build
directory, please run:
$ ./bin/ark_asm /path/to/panda-assembly.pa /path/to/binary/output.abc
Running interpreter
Assuming that your main function is defined as .function main(...)
in the assembly listing,
and /path/to/binary/output.abc
is the result of the assembler, please run:
$ ./bin/ark /path/to/binary/output.abc _GLOBAL::main