Cling
The cling C++ interpreter
Cling - The Interactive C++ Interpreter ========================================= The project is written primarily in C++, distributed under the Other license, first published in 2016. It has gained significant community traction with 4,138 stars and 312 forks on GitHub. Key topics include: c-plus-plus, clang, interpreter, jupyter, llvm.
Cling - The Interactive C++ Interpreter
The main repository is at https://github.com/root-project/cling
Overview
Cling is an interactive C++ interpreter, built on top of Clang and LLVM compiler
infrastructure. Cling implements the read-eval-print loop
(REPL)
concept, in order to leverage rapid application development. Implemented as a
small extension to LLVM and Clang, the interpreter reuses their strengths such
as the praised concise and expressive compiler diagnostics.
See also cling's web page.
Please note that some of the resources are rather old and most of the stated
limitations are outdated.
- talks
- http://blog.coldflake.com/posts/2012-08-09-On-the-fly-C++.html
- http://solarianprogrammer.com/2012/08/14/cling-cpp-11-interpreter/
- https://www.youtube.com/watch?v=f9Xfh8pv3Fs
- https://www.youtube.com/watch?v=BrjV1ZgYbbA
- https://www.youtube.com/watch?v=wZZdDhf2wDw
- https://www.youtube.com/watch?v=eoIuqLNvzFs
Installation
Release Notes
See our release notes to find what's new.
Binaries
Our nightly binary snapshots are currently unavailable.
Building from Source
See also the instructions on the webpage.
Building Cling as a Standalone Project
If Clang and LLVM (cling-latest version) are not installed, you need to build them first:
bashgit clone https://github.com/root-project/llvm-project.git cd llvm-project git checkout cling-latest cd .. mkdir llvm-build && cd llvm-build cmake -DLLVM_ENABLE_PROJECTS="clang" -DLLVM_TARGETS_TO_BUILD="host;NVPTX" -DCMAKE_BUILD_TYPE=Release ../llvm-project/llvm cmake --build .
Once Clang and LLVM (cling-latest version) are installed, you can build Cling. If they are already installed, you can skip the previous step and proceed with the following:
Note: Ensure you are outside the llvm-project and llvm-build directories before proceeding, as LLVM, Clang, and Cling do not allow building inside the source directory.
bashgit clone https://github.com/root-project/cling.git mkdir cling-build && cd cling-build cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_PREFIX_PATH="The root of your LLVM build directory" -DLLVM_DIR="The directory containing LLVM's CMake modules" ../cling cmake --build .
Example CMake command:
bashcmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_PREFIX_PATH=../llvm-build -DLLVM_DIR=../llvm-build/lib/cmake/llvm ../cling
Building Cling Along with LLVM (Recommended)
If Clang and LLVM are not installed, you can build them together with Cling:
bashgit clone https://github.com/root-project/llvm-project.git cd llvm-project git checkout cling-latest cd .. git clone https://github.com/root-project/cling.git mkdir cling-build && cd cling-build cmake -DLLVM_EXTERNAL_PROJECTS=cling -DLLVM_EXTERNAL_CLING_SOURCE_DIR=../cling/ -DLLVM_ENABLE_PROJECTS="clang" -DLLVM_TARGETS_TO_BUILD="host;NVPTX" -DCMAKE_BUILD_TYPE=Release ../llvm-project/llvm cmake --build . --target clang cling
Jupyter notebooks
To enable support for cling in Jupyter notebooks, after building cling, run:
bashcmake --build . --target libclingJupyter
Usage
Assuming we're in the build folder.
If Cling is built as a standalone project, you need to specify the include directory for headers:
bash./bin/cling -I"../cling/include" '#include <stdio.h>' 'printf("Hello World!\n");'
If build Cling as part of LLVM:
bash./bin/cling '#include <stdio.h>' 'printf("Hello World!\n");'
To get started run:
bash./bin/cling --help
or
bash./bin/cling [cling]$ .help
Debugging and Profiling JITted Code
Cling provides support for debugging and profiling interpreted (JITted) code.
CLING_DEBUG=1enables debug symbol emission on interpreted code, allowing
the use of a standard debugger. Debugging is aided by switching off
optimisations and adding frame pointers for better stack traces.CLING_PROFILE=1enables perf profiling:- When
jitlinkis enabled (CLING_JITLINK=1, soon the default), profiling
requires aperf injectstep:bashperf record -k 1 <cling> perf inject -j -i perf.data -o perf.jitted.data perf report -i perf.jitted.data - When
jitlinkis disabled, perf support is enabled with "perf map" (legacy)
instead of "JIT dump" and there is no need for an inject step.
- When
Debugging and Profiling, both have a runtime cost, and is therefore disabled by
default.
Jupyter
Cling comes with a Jupyter kernel. After building cling,
install Jupyter and cling's kernel by following the README.md in
tools/Jupyter. Make sure cling is in your PATH when you start jupyter!
Citing Cling
latex% Peer-Reviewed Publication % % 19th International Conference on Computing in High Energy and Nuclear Physics (CHEP) % 21-25 May, 2012, New York, USA % @inproceedings{Cling, author = {Vassilev,V. and Canal,Ph. and Naumann,A. and Moneta,L. and Russo,P.}, title = {{Cling} -- The New Interactive Interpreter for {ROOT} 6}}, journal = {Journal of Physics: Conference Series}, year = 2012, month = {dec}, volume = {396}, number = {5}, pages = {052071}, doi = {10.1088/1742-6596/396/5/052071}, url = {https://iopscience.iop.org/article/10.1088/1742-6596/396/5/052071/pdf}, publisher = {{IOP} Publishing} }
Developers' Corner
Cling's latest doxygen documentation
Contributions
Every contribution is considered a donation and its copyright and any other
related rights become exclusive ownership of the person who merged the code or
in any other case the main developers of the "Cling Project".
We warmly welcome external contributions to the Cling! By providing code,
you agree to transfer your copyright on the code to the "Cling project".
Of course you will be duly credited and your name will appear on the
contributors page, the release notes, and in the CREDITS file
shipped with every binary and source distribution. The copyright transfer is
necessary for us to be able to effectively defend the project in case of
litigation.
License
Please see our LICENSE.
Releases
Our release steps to follow when cutting a new release:
- Update release notes
- Remove
~devsuffix from VERSION - Add a new entry in the news section of our website
- Commit the changes.
git tag -a v0.x -m "Tagging release v0.x"- Tag
cling-patchesofclang.git:
git tag -a cling-v0.x -m "Tagging clang for cling v0.x" - Create a draft release in github and copy the contents of the release notes.
- Wait for green builds.
- Upload binaries to github (Travis should do this automatically).
- Publish the tag and announce it on the mailing list.
- Increment the current version and append
~dev.
Contributors
Showing top 12 contributors by commit count.