{
    "info": {
        "author": "Peter R. Wiecha",
        "author_email": "wiechapeter@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": "***********************************\nRequirements / Installation\n***********************************\n\npyGDM2 is available on `pypi <https://pypi.python.org/pypi/pygdm2/>`_ and `gitlab <https://gitlab.com/wiechapeter/pyGDM2>`_. \n\nDetailed documentation with many examples is avaiable at the `pyGDM2 documentation website <https://wiechapeter.gitlab.io/pyGDM2-doc/>`_. See also the `documentation paper on arXiv (1802.04071) <https://arxiv.org/abs/1802.04071>`_\n\n\n\n\nRequirements\n================================\n\nPython\n------------------\n    - **python** (2.7 or 3.5+, `python <https://www.python.org/>`_)\n    - **numpy** (`numpy <http://www.numpy.org/>`_)\n    - **python headers** (under ubuntu, install the package *python-dev* or *python-devel*)\n\n\nFortran\n------------------\n    - *fortran* compiler (tested with **gfortran**. `gcc <https://gcc.gnu.org/fortran/>`_)\n    - **openmp** (usually comes with fortran. `openmp <http://www.openmp.org/>`_)\n    - **f2py** (comes with **numpy**. `link <http://www.numpy.org/>`_)\n\n\nOptional Python packages\n-------------------------------------\n    - **scipy** >= v0.17.0, lower versions supported with restrictions (*Strongly recommended*. Used for standard solver LU decomposition and several tools. `scipy <https://www.scipy.org/>`_)\n    - **matplotlib** (*Strongly recommended*. For all 2D visualization tools. `matplotlib <https://matplotlib.org/>`_)\n    - **mpi4py** (for MPI parallelized calculation of spectra. `mpi4py <http://mpi4py.readthedocs.io/en/stable/>`_)\n    - **mayavi** (for all 3D visualization. `mayavi <http://docs.enthought.com/mayavi/mayavi/mlab.html>`_)\n    - **PIL** (image processing. `PIL <https://pypi.python.org/pypi/PIL>`_)\n    - **pathos** (for multi-threaded generalized propagator operations. `pathos <https://pypi.org/project/pathos/>`_)\n    - **pytables** (v3.x recommended. For hdf5 saving/loading of simulations. `pytables <https://www.pytables.org/>`_)\n    - **PaGMO / PyGMO** (version 2.4+. *Required* for the **EO** submodule. `pagmo <https://esa.github.io/pagmo2/>`_)\n    - **pycuda** (tested with version 2018.1, for GPU-based matrix inversion. `pyCUDA <https://documen.tician.de/pycuda/>`_, for problems during installation with pip, see `solution proposed here <https://codeyarns.com/2015/07/31/pip-install-error-with-pycuda/>`_)\n    - **scikit-cuda** (tested with version 0.5, for GPU-based matrix inversion. `scikit-cuda <https://scikit-cuda.readthedocs.io/en/latest/>`_)\n    - alternatively: **cupy** (version 7+, tested with version 7.0.0b4, alternative to *pycuda* for GPU-based matrix inversion. `cupy <https://docs-cupy.chainer.org/en/stable/index.html>`_)\n\n(all available via `pip <https://pypi.python.org/pypi/pip>`_)\n\n\n\nInstallation under linux\n=============================================\n\nVia pip\n-------------------------------\n\nInstall from pypi repository via\n\n.. code-block:: bash\n    \n    $ pip install pygdm2\n\n\n\nVia setup script\n-------------------------------\n\nThe easiest possibility to compile (and install) pyGDM is via the \nsetup-script, which uses the extended *distutils* from *numpy*. \n\nTo install pyGDM, run in the source directory:\n\n.. code-block:: bash\n    \n    $ python setup.py install\n\nTo install to a user-defined location, use the *prefix* option:\n\n.. code-block:: bash\n    \n    $ python setup.py install --prefix=/some/specific/location\n\n\nTo only compile without installation, use\n\n.. code-block:: bash\n    \n    $ python setup.py build\n\n\n\n\nManual compilation\n-------------------------------------------------------------\n\n1. clone git:\n\n   .. code-block:: bash\n    \n        $ git clone https://gitlab.com/wiechapeter/pyGDM2.git\n\n2.a *python 2.7*: compile fortran parts:\n\n   .. code-block:: bash\n    \n        $ cd fortranBase\n        $ make\n        \n2.b *python 3.5+*:\n\n   .. code-block:: bash\n    \n        $ cd fortranBase\n        $ make python3\n\n3. *optional, for system-wide usage* add to **path** and **pythonpath**, \n   e.g. add following lines to file \"/home/USER/.profile\", where \n   \"path_of_pyGDM_folder\" is the pyGDM installation directory:\n  \n   .. code-block:: bash\n    \n        PATH=\"path_of_pyGDM_folder:$PATH\"\n        export PATH\n        \n        PYTHONPATH=\"path_of_pyGDM_folder:$PYTHONPATH\"\n        export PYTHONPATH\n\n        \n\n\nInstallation under windows\n=============================================\n\nFor windows, we also recommend `Anaconda <https://www.anaconda.com/download/#windows>`_ in which pyGDM can be installed easily via pip. See also the MacOS X instructions, but you can skip all steps for installing the gcc compilers, since the windows version of pyGDM comes as pre-compiled binary package.\n\nVia pip\n-------------------------------\n\nWe provide a 64bit windows binary on the pypi repository (tested on Win7 and Win10). Install via\n\n.. code-block:: bash\n    \n    $ pip install pygdm2\n\n    \nCompile using the Anaconda distribution (tested with anaconda3)\n------------------------------------------------------------------------------------------\n    \n1. get the repo (e.g. download from gitlab)\n\n2. install gcc compiler:\n\n   .. code-block:: bash\n    \n        $ conda install m2w64-toolchain libpython\n\n3. compile fortran parts:\n\n   .. code-block:: bash\n    \n        $ python setupy.py build\n\n4. install:\n\n   .. code-block:: bash\n    \n        $ python setupy.py install\n\n\n\n\n\nInstallation under Mac OS X\n=============================================\n\nUsing the Anaconda distribution\n-------------------------------------------------------------\n\nThe default compiler on OSX uses a clang which does not support OpenMP. Hence compilation might fail. We therefore suggest using `Anaconda (Mac) <https://www.anaconda.com/download/#macos>`_ and install gcc from the conda repository in a virtualenv (Here the example of python2. python3 was not tested on OSX so far):\n\n   .. code-block:: bash\n    \n        $ conda create -n python2 python=2.7 anaconda\n\n\"anaconda\" at the end will copy the whole anaconda distribution to the virtial env. You can omit this option and create a \"blank\" virtual environment to install only selected packages. \n\nNext activate the virtualenv and install the required software:\n\n   .. code-block:: bash\n\n        $ source activate python2\n        $ xcode-select --install\n        $ conda install pip\n        $ conda install gcc\n        $ pip install pygdm2\n        \nAlso make sure you have the latest versions of numpy and scipy:\n\n   .. code-block:: bash\n    \n        $ pip install numpy scipy --upgrade\n        \n\n\n\n\nWithout Anaconda\n-------------------------------------------------------------\n\nAlternatively, you can download the latest version and compile it manually without OpenMP support, which should work with the default OSX compiler:\n\n.. code-block:: bash\n    \n    $ python setup.py install --no-openmp\n\n\n\n\n\n\nAuthors\n=========================\n\nPython code\n------------------------\n   - P\\. R. Wiecha\n   - contributions by C\\. Majorel\n\n\nFortran code\n-------------------------\n   - C\\. Girard\n   - A\\. Arbouet\n   - R\\. Marty\n   - P\\. R. Wiecha",
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