cmake-init-conan-example
ccache
cmake-init-conan-example | ccache | |
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12 | 28 | |
15 | 2,164 | |
- | 0.9% | |
5.8 | 9.4 | |
20 days ago | 7 days ago | |
CMake | C++ | |
- | GNU General Public License v3.0 or later |
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cmake-init-conan-example
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Conan and cmake library problems
I haven't really used conan but you should not use the cmake generator, you should use the CMakeDeps and CMakeToolchain generators instead. That might solve your problem, after all there is a reason why the cmake generator is being deprecated. Check this for an example: https://github.com/friendlyanon/cmake-init-conan-example
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If I want to import a library/module from github into my C program where do I git clone it?
Use a package manager. This example shows how to use vcpkg to get json-c. You can do the same using Conan as well.
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How do I add a configure step to cmake?
You ought to call Conan before configuring. Take a look at this example.
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Best way to manage dependencies with c++?
Conan and vcpkg are the only options. I use them both, depends on what kinds of dependencies I want to pull. vcpkg is easier to setup custom one-off dependencies with using overlay ports, while Conan is faster at things if your profile fits one that has a pre-built binary in CCI. Both are trivial to integrate with a CMake project, see these examples for Conan and vcpkg.
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How to build libvpx as a shared library for my project?
More details in this example project.
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3rd party library delivery
I have an example for Conan integration that I'm planning on revisiting, since it was made when I knew less about Conan. If you are interested in a concrete example, you can check it out later.
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CMake 3.22.0 available for download - Kitware Blog
Integrating with Conan is already pretty straightforward, you just need a short script to glue things together via the Conan provided CMake utility.
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Some GithubCI (and not only) help needed
You can check out the CI for this example project. It doesn't yet have caching for Conan setup, but Qt has prebuilt binaries in the CCI anyway, so that's not really that big of a deal.
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Make your commits prettier with Catify, a C++ project
The CMake scripts could definitely use improvement. Here is an example using Conan that also installs fmt. The shell scripts can also be entirely replaced with CMake presets, also examplified in the earlier link.
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what can I say, lol
Or Conan + CMake. In fact, I would much prefer to use Conan in a company environment, but vcpkg is top notch for open source. Not to say Conan is bad at that, not even close, but its features are excellent to get companies to move to package managers.
ccache
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Deep Learning with “AWS Graviton2 + NVIDIA Tensor T4G” for as low as free* with CUDA 12.2
# Download and install ccache for faster compilation wget https://github.com/ccache/ccache/releases/download/v4.8.3/ccache-4.8.3.tar.xz tar -xf ccache-4.8.3.tar.xz pushd ccache-4.8.3 cmake . make -j $CPUS make install popd # Install NumPy, a dependency for PyTorch dnf install -y numpy # Install Python typing extensions for better type-checking sudo -u ec2-user pip3 install typing-extensions # Clone PyTorch repository and install from source git clone --recursive https://github.com/pytorch/pytorch.git pushd pytorch python3 setup.py install popd # Refresh the dynamic linker run-time bindings ldconfig # Install additional Python libraries for PyTorch sudo -u ec2-user pip3 install sympy filelock fsspec networkx
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This isn’t the way to speed up Rust compile times
> What can I use to cache with MSVC that isn't Incredibuild?
Ccache works, but if you use the Visual Studio C++ compiler you need to configure your build to be cacheable.
https://github.com/ccache/ccache/wiki/MS-Visual-Studio
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Flutter or React Native
That ecosystem now is too young. All these things must be configured by an automatic installer. Packages and pods need to be tested before release, etc. Previous was 80 min compilation time of the Firestore package. Solved with https://ccache.dev/. But why Dart developers must know, how to install and configure object cache for C++ compilers?
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Distcc: A fast, free distributed C/C++ compiler
Related
https://github.com/icecc/icecream - another option that does what distcc does, but aimed at a somewhat different use case.
https://ccache.dev/ - a similar idea but provides caching of build outputs instead of distributing builds. You can use it together with distcc to achieve even better performance.
- Debugging the QtCreator
- How to avoid compiling whole C++ project every time using Github actions?
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Boring Python: Code Quality
> All those big changes introduce commits that make git bisect generally slower.
Bisection search is log2(n) so doubling the number of commits should only add one more bisection step, yes?
> Which might be awful if you also have some C code to recompile at every step of bisecting.
That reminds me, I've got to try out ccache (https://ccache.dev/ ) for my project. My full compile is one minute, but the three files that take longest to compiler rarely change.
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Ccache – a fast C/C++ compiler cache
I worked with the internals of this some 16 years ago, maintaining a customized version at Zeugma Systems. Some change of mine was reworked by someone and upstreamed:
https://github.com/ccache/ccache/commit/e8354384f67bc733bea5...
What are some alternatives?
gentoo - [MIRROR] Official Gentoo ebuild repository
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
Geany - A fast and lightweight IDE
buildcache - A build cache
icecream - Distributed compiler with a central scheduler to share build load
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
cache - Cache dependencies and build outputs in GitHub Actions
linux-tkg - linux-tkg custom kernels
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
lcd - An LCD module simulator based on HD44780 microcontroller simulation
setup-gcc - GitHub action to set up GCC