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.. include:introduction/start
immer is a library of persistent and immutable data structures written in C++. These enable whole new kinds of architectures for interactive and concurrent programs of striking simplicity, correctness, and performance.
.. _persistent: https://en.wikipedia.org/wiki/Persistent_data_structure .. _immutable: https://en.wikipedia.org/wiki/Immutable_object
.. _contents: https://sinusoid.es/immer/#contents .. _github: https://github.com/arximboldi/immer .. _youtube: https://www.youtube.com/watch?v=sPhpelUfu8Q .. _slides: https://sinusoid.es/talks/immer-cppcon17 .. _preprint: https://public.sinusoid.es/misc/immer/immer-icfp17.pdf
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<a href="https://www.patreon.com/sinusoidal">
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</a>
This library has full months of pro bono research and development invested in it. This is just the first step in a long-term vision of making interactive and concurrent C++ programs easier to write. Put your logo here and help this project's long term sustainability by buying a sponsorship package: immer@sinusoid.al
.. include:index/end
.. github does not support the literalinclude
directive. This
example is copy pasted from example/vector/intro.cpp
.. code-block:: c++
int main()
{
const auto v0 = immer::vector
const auto v2 = v1.set(0, 42);
assert(v1[0] == 13 && v2[0] == 42);
} ..
For a complete example check Ewig, a simple didactic text-editor <https://github.com/arximboldi/ewig>
built with this
library. You may also wanna check Lager, a Redux-like library <https://github.com/arximboldi/lager>
for writing interactive
software in C++ using a value-oriented design.
In the last few years, there has been a growing interest in immutable data structures, motivated by the horizontal scaling of our processing power and the ubiquity of highly interactive systems. Languages like Clojure and Scala provide them by default, and implementations for JavaScript like Mori and Immutable.js are widely used, specially in combination with modern UI frameworks like React_.
Interactivity
Thanks to persistence and structural sharing, new values can
be efficiently compared with old ones. This enables simpler ways of
reasoning about change that sit at the core of modern
interactive systems programming paradigms like reactive programming
_.
Concurrency
Passing immutable data structures by value does not need to copy
any data. In the absence of mutation, data can be safely read
from multiple concurrent processes, and enable concurrency
patterns like share by communicating
_ efficiently.
Parallelism
Some recent immutable data structures have interesting properties
like :math:O(log(n))
concatenation, which enable new kinds of
parallelization algorithms
_.
.. _clojure: http://clojure.org/reference/data_structures .. _scala: http://docs.scala-lang.org/overviews/collections/overview.html
.. _mori: https://swannodette.github.io/mori/ .. _immutable.js: https://github.com/facebook/immutable-js .. _react: https://facebook.github.io/react/
.. _reactive programming: https://en.wikipedia.org/wiki/Reactive_programming .. _share by communicating: https://blog.golang.org/share-memory-by-communicating .. _parallelization algorithms: http://docs.scala-lang.org/overviews/parallel-collections/overview.html
Idiomatic This library doesn't pretend that it is written in Haskell. It leverages features from recent standards to provide an API that is both efficient and natural for a C++ developer.
Performant
You use C++ because you need this. Immer implements state of
the art data structures with efficient cache utilization and have
been proven production ready in other languages. It also includes
our own improvements over that are only possible because of the
C++'s ability to abstract over memory layout. We monitor the
performance impact of every change by collecting benchmark results
_ directly from CI.
.. _benchmark results: https://public.sinusoid.es/misc/immer/reports/
Customizable
We leverage templates and policy-based design
to build
data-structures that can be adapted to work efficiently for
various purposes and architectures, for example, by choosing among
various memory management strategies
. This turns
immer into a good foundation to provide immutable data
structures to higher level languages with a C runtime, like
Python or Guile_.
.. _python: https://www.python.org/ .. _guile: https://www.gnu.org/software/guile/ .. _policy-based design: https://en.wikipedia.org/wiki/Policy-based_design .. _memory management strategies: https://sinusoid.es/immer/memory.html
This library is written in C++14 and a compliant compiler is
necessary. It is continuously tested
_ with Clang 3.8 and GCC 6, but
it might work with other compilers and versions.
No external library is necessary and there are no other requirements.
.. _continuously tested: https://travis-ci.org/arximboldi/immer
This is a header only library. You can just copy the immer
subfolder somewhere in your include path.
If you are using the Nix package manager
_ (we strongly recommend it)
you can just::
nix-env -if https://github.com/arximboldi/immer/archive/master.tar.gz
Alternatively, you can use CMake
_ to install the library in your
system once you have manually cloned the repository::
mkdir -p build && cd build
cmake .. && sudo make install
.. _nix package manager: https://nixos.org/nix .. _cmake: https://cmake.org/
You can download and install immer using the vcpkg dependency manager::
git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
./vcpkg install immer
The immer port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.
In order to develop the library, you will need to compile and run the
examples, tests and benchmarks. These require some additional tools.
The easiest way to install them is by using the Nix package manager
_. At the root of the repository just type::
nix-shell
This will download all required dependencies and create an isolated environment in which you can use these dependencies, without polluting your system.
Then you can proceed to generate a development project using CMake
_::
mkdir build && cd build
cmake ..
From then on, one may build and run all tests by doing::
make check
In order to build and run all benchmarks when running make check
,
run cmake
again with the option -DCHECK_BENCHMARKS=1
. The
results of running the benchmarks will be saved to a folder
reports/
in the project root.
This software is licensed under the Boost Software License 1.0.
.. image:: https://upload.wikimedia.org/wikipedia/commons/c/cd/Boost.png :alt: Boost logo :target: http://boost.org/LICENSE_1_0.txt :align: right
The full text of the license is can be accessed via this link <http://boost.org/LICENSE_1_0.txt>
_ and is also included
in the LICENSE
file of this software package.