Library to keep track of a sequential potential energy landscape.

Documentation: https://tdegeus.github.io/QPot

Overview

Disclaimer

This library is free to use under the MIT license. Any additions are very much appreciated, in terms of suggested functionality, code, documentation, testimonials, word-of-mouth advertisement, etc. Bug reports or feature requests can be filed on GitHub. As always, the code comes with no guarantee. None of the developers can be held responsible for possible mistakes.

Download: .zip file | .tar.gz file.

(c - MIT) T.W.J. de Geus (Tom) | tom@g.nosp@m.eus..nosp@m.me | www.geus.me | github.com/tdegeus/QPot

More information

The documentation of the code.
The code itself.
The unit tests, under test.
The examples, under examples.

Implementation

C++ and Python

The code is a C++ header-only library (see installation notes), but a Python module is also provided (see installation notes). The interfaces are identical except:

All xtensor objects (xt::xtensor<...>) are NumPy arrays in Python.
All :: in C++ are . in Python.

Chunked.hpp

Storage of a chunk of the series of yield positions, including support to move along the full series by providing sequential chunks upon request.

#include <QPot/Chunked.hpp>
 
int main()
{
    xt::xtensor<double,1> y = xt::linspace<double>(-1, 10, 12);
 
    QPot::Chunked yield(0.0, y);
 
    std::cout << yield.i() << std::endl;
    std::cout << yield.yleft() << std::endl;
    std::cout << yield.yright() << std::endl;
 
    yield.set_x(5.5);
 
    return 0;
}

See QPot::Chunked for more information. Furthermore, please find this example.

Static.hpp

Static list of yield points.

#include <QPot/Static.hpp>
 
int main()
{
    xt::xtensor<double,1> y = xt::linspace<double>(-1, 10, 12);
 
    QPot::Static yield(0.0, y);
 
    std::cout << yield.currentIndex() << std::endl;
    std::cout << yield.currentYieldLeft() << std::endl;
    std::cout << yield.currentYieldRight() << std::endl;
 
    yield.setPosition(5.5);
 
    std::cout << yield.currentIndex() << std::endl;
    std::cout << yield.currentYieldLeft() << std::endl;
    std::cout << yield.currentYieldRight() << std::endl;
 
    return 0;
}

See QPot::Static for more information.

Redraw.hpp

Dynamically redraw yield points.

#include <QPot/Redraw.hpp>
 
int main()
{
    auto uniform = [=](std::array<size_t, 2> shape) {
        return xt::ones<double>(shape); };
 
    size_t N = 10;
    xt::xtensor<double,1> x = xt::zeros<double>({N});
 
    QPot::RedrawList yield(x, uniform);
 
    std::cout << yield.currentIndex() << std::endl;
    std::cout << yield.currentYieldLeft() << std::endl;
    std::cout << yield.currentYieldRight() << std::endl;
 
    x.fill(5.5)
    yield.setPosition(x);
 
    std::cout << yield.currentIndex() << std::endl;
    std::cout << yield.currentYieldLeft() << std::endl;
    std::cout << yield.currentYieldRight() << std::endl;
 
    return 0;
}

‍ From Python one can use:

def uniform(shape):

return np.ones(shape)

x = np.random.rand([100])

y = QPot.RedrawList(x, uniform);

See QPot::RedrawList for more information.

Installation

C++ headers

Using conda

conda install -c conda-forge qpot

From source

# Download QPot
git checkout https://github.com/tdegeus/QPot.git
cd QPot
 
# Install headers, CMake and pkg-config support
cmake -Bbuild .
cd build
make install

Python module

Using conda

conda install -c conda-forge python-qpot

Note that xsimd and hardware optimisation are not enabled. To enable them you have to compile on your system, as is discussed next.

From source

‍ You need xtensor, xtensor-python and optionally xsimd as prerequisites. In addition scikit-build is needed to control the build from Python. The easiest is to use conda to get the prerequisites:

conda install -c conda-forge xtensor-python

conda install -c conda-forge xsimd

conda install -c conda-forge scikit-build

If you then compile and install with the same environment you should be good to go. Otherwise, a bit of manual labour might be needed to treat the dependencies.

# Download QPot
git checkout https://github.com/tdegeus/QPot.git
cd QPot
 
# Compile and install the Python module
# (-vv can be omitted as is controls just the verbosity)
python setup.py install --build-type Release -vv
 
# OR, Compile and install the Python module with hardware optimisation
# (with scikit-build CMake options can just be added as command-line arguments)
python setup.py install --build-type Release -DUSE_SIMDD=1 -vv

Compiling user-code

Using CMake

Example

Using QPot your CMakeLists.txt can be as follows

cmake_minimum_required(VERSION 3.1)
project(example)
find_package(QPot REQUIRED)
add_executable(example example.cpp)
target_link_libraries(example PRIVATE QPot)

Targets

The following targets are available:

QPot Includes QPot and the xtensor dependency.
QPot::assert Enables assertions by defining QPOT_ENABLE_ASSERT.
QPot::debug Enables all assertions by defining QPOT_ENABLE_ASSERT and XTENSOR_ENABLE_ASSERT.
QPot::compiler_warings Enables compiler warnings (generic).

Optimisation

It is advised to think about compiler optimisation and enabling xsimd. Using CMake this can be done using the xtensor::optimize and xtensor::use_xsimd targets. The above example then becomes:

cmake_minimum_required(VERSION 3.1)
project(example)
find_package(QPot REQUIRED)
find_package(xtensor REQUIRED)
find_package(xsimd REQUIRED)
add_executable(example example.cpp)
target_link_libraries(example PRIVATE
    QPot
    xtensor::optimize
    xtensor::use_xsimd)

See the documentation of xtensor concerning optimisation.

By hand

Presuming that the compiler is c++, compile using:

c++ -I/path/to/QPot/include ...

Note that you have to take care of the xtensor dependency, the C++ version, optimisation, enabling xsimd, ...

Using pkg-config

Presuming that the compiler is c++, compile using:

c++ `pkg-config --cflags QPot` ...

Note that you have to take care of the xtensor dependency, the C++ version, optimization, enabling xsimd, ...

Change-log

v0.12.0

Great simplification: only two free-functions are left (#43).

v0.9.9

[CMake] Minor style updates (#37)

v0.9.8

[Python] Build with scikit-build (#36)

v0.9.7

[docs] Minor readme updates
[CMake] Minor style updates (#35)
[CMake] Improving handling options
[Python] Switching to xtensor-python : avoids copies (#33)

v0.9.6

[setup.py] Adding missing import
[CI] Changing dummy version
Adding global CMake options (+ updating CI)
Adding missing include
Avoiding setuptools_scm dependency if SETUPTOOLS_SCM_PRETEND_VERSION is defined
Building docs on release

v0.9.5

Minor bugfix bounds-check: including assertion of lock in criterion
CMake updates.

v0.9.4

Adding convenience function Chunked::size.

v0.9.3

Adding convenience function i_chunk.

v0.9.2

Updating docs, readme, and example.
QPot::Chunked::redraw: Allow trial.
Applying latest pcg32 features.
Adding test for Chunked::ymin_chunk.

v0.9.1

Minor CMake updates.
Integrating Python API in CMake.
Marking Chunked::i() const (#24).

v0.9.0

Adding: Chunked storage (#23)
Fixing version in doxygen docs
[CI] Minor style update
Updating doxygen-awesome

v0.8.0

Simplifying CMake
Minor documentation updates
API change: "yield()" -> "yieldPosition()" to avoid broken Python API

v0.7.0

Various documentation updates.
Adding (optional) HDF5 test to test platform independence of sequence restore).
Allowing restoring a sequence with less data.
Allow prompt if a redraw was triggered on the last position update.

v0.6.2

Python API: relaxing dependencies.
RedrawList: Adding extra assertion on position.

v0.6.1

Bugfix: making sure that "m_idx" is computed correctly after a redraw

v0.6.0

Adding QPot::random interface to simplify RedrawList and to make reconstruction in Python possible (see test).
[docs] Dark background.

v0.5.0

Allow reconstruction of random RedrawList (see test-case).
Adding documentation using doxygen.
Switching to setuptools_scm for versioning.
Minor style updates.

v0.4.0

Adding nextYield.

v0.3.0

Switching to GitHub CI.
Adding yield to return the entire landscape or a cross-section.
Adding offset overloads to currentYieldLeft and currentYieldRight.
Adding currentYield to get the landscape around the current position.

v0.2.0

Adding "checkYieldBoundLeft" and "checkYieldBoundRight" to "Static".
Using Catch2 to test for floats.

Contents

Overview

Disclaimer

More information

Implementation

C++ and Python

Chunked.hpp

Static.hpp

Redraw.hpp

Installation

C++ headers

Using conda

From source

Python module

Using conda

From source

Compiling user-code

Using CMake

Example

Targets

Optimisation

By hand

Using pkg-config

Change-log

v0.12.0

v0.9.9

v0.9.8

v0.9.7

v0.9.6

v0.9.5

v0.9.4

v0.9.3

v0.9.2

v0.9.1

v0.9.0

v0.8.0

v0.7.0

v0.6.2

v0.6.1

v0.6.0

v0.5.0

v0.4.0

v0.3.0

v0.2.0