./configure.py
generates the build.ninja
files used to build
ninja. It accepts various flags to adjust build parameters.
The primary build target of interest is ninja
, but when hacking on
Ninja your changes should be testable so it's more useful to build
and run ninja_test
when developing.
(./bootstrap.py
creates a bootstrap ninja
and runs the above
process; it's only necessary to run if you don't have a copy of
ninja
to build with.)
Build in "debug" mode while developing (disables optimizations and builds way faster on Windows):
./configure.py --debug
To use clang, set CXX
:
CXX=clang++ ./configure.py
Github pull requests are convenient for me to merge (I can just click
a button and it's all handled server-side), but I'm also comfortable
accepting pre-github git patches (via send-email
etc.).
Good pull requests have all of these attributes:
- Are scoped to one specific issue
- Include a test to demonstrate their correctness
- Update the docs where relevant
- Match the Ninja coding style (see below)
- Don't include a mess of "oops, fix typo" commits
These are typically merged without hesitation. If a change is lacking any of the above I usually will ask you to fix it, though there are obvious exceptions (fixing typos in comments don't need tests).
I am very wary of changes that increase the complexity of Ninja (in particular, new build file syntax or command-line flags) or increase the maintenance burden of Ninja. Ninja is already successfully in use by hundreds of developers for large projects and it already achieves (most of) the goals I set out for it to do. It's probably best to discuss new feature ideas on the mailing list before I shoot down your patch.
The ninja_test
binary, containing all the tests, depends on the
googletest (gtest) library.
-
On older Ubuntus it'll install as libraries into
/usr/lib
:apt-get install libgtest
-
On newer Ubuntus it's only distributed as source
apt-get install libgtest-dev ./configure --with-gtest=/usr/src/gtest
-
Otherwise you need to download it, unpack it, and pass
--with-gtest
toconfigure.py
. Get it from its downloads page; this direct download link might work too.
Set your build command to
./ninja ninja_test && ./ninja_test --gtest_filter=MyTest.Name
now you can repeatedly run that while developing until the tests pass (I frequently set it as my compilation command in Emacs). Remember to build "all" before committing to verify the other source still works!
If you have a Chrome build handy, it's a good test case. Otherwise, the github downoads page has a copy of the Chrome build files (and depfiles). You can untar that, then run
path/to/my/ninja chrome
and compare that against a baseline Ninja.
There's a script at misc/measure.py
that repeatedly runs a command like
the above (to address variance) and summarizes its runtime. E.g.
path/to/misc/measure.py path/to/my/ninja chrome
For changing the depfile parser, you can also build parser_perftest
and run that directly on some representative input files.
Generally it's the Google C++ coding style, but in brief:
- Function name are camelcase.
- Member methods are camelcase, expect for trivial getters which are underscore separated.
- Local variables are underscore separated.
- Member variables are underscore separated and suffixed by an extra underscore.
- Two spaces indentation.
- Opening braces is at the end of line.
- Lines are 80 columns maximum.
- All source files should have the Google Inc. license header.
- Use
///
for doxygen. - Use
\a
to refer to arguments. - It's not necessary to document each argument, especially when they're
relatively self-evident (e.g. in
CanonicalizePath(string* path, string* err)
, the arguments are hopefully obvious)
sudo apt-get install asciidoc --no-install-recommends
./ninja manual
sudo apt-get install doxygen
./ninja doxygen
While developing, it's helpful to copy ninja.exe
to another name like
n.exe
; otherwise, rebuilds will be unable to write ninja.exe
because
it's locked while in use.
- Install Visual Studio (Express is fine), Python for Windows, and (if making changes) googletest (see above instructions)
- In a Visual Studio command prompt:
python bootstrap.py
- Install mingw, msys, and python
- In the mingw shell, put Python in your path, and
python bootstrap.py
- To reconfigure, run
python configure.py
- Remember to strip the resulting executable if size matters to you
Setup on Ubuntu Lucid:
sudo apt-get install gcc-mingw32 wine
export CC=i586-mingw32msvc-cc CXX=i586-mingw32msvc-c++ AR=i586-mingw32msvc-ar
Setup on Ubuntu Precise:
sudo apt-get install gcc-mingw-w64-i686 g++-mingw-w64-i686 wine
export CC=i686-w64-mingw32-gcc CXX=i686-w64-mingw32-g++ AR=i686-w64-mingw32-ar
Then run:
./configure.py --platform=mingw --host=linux
- Build
ninja.exe
using a Linux ninja binary:/path/to/linux/ninja
- Run:
./ninja.exe
(implicitly runs through wine(!))