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"License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
"Natural Language :: English",
"Operating System :: MacOS",
"Operating System :: POSIX",
"Operating System :: POSIX :: Linux",
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"description": "==============\nTransport Maps\n==============\n\nThis package provides basic functionalities for the construction of monotonic transport maps.\n\nSupported systems\n-----------------\n\n* \\*nix like OS (Linux, Unix, ...)\n* Mac OS\n\nOther operating systems have not been tested and they likely require a more complex procedure for the installation (this includes the Microsoft Windows family..).\n\nWe reccommend to work in a virtual environment using `virtualenv `_ or `Anaconda `_.\n\nInstallation requirements\n-------------------------\n\n* `gcc `_ (or an alternative C/C++ compiler)\n* `gfortran `_ (or an alternative Fortran compiler)\n\nAutomatic installation\n----------------------\n\nFirst of all make sure to have the latest version of `pip `_ installed\n\n $ pip install --upgrade pip\n\nThe package and its python dependencies can be installed running the command:\n\n $ pip install --upgrade numpy\n $ pip install --upgrade TransportMaps\n\nIf one whish to enable some of the optional dependencies:\n\n $ MPI=True SPHINX=True PLOT=True H5PY=True pip install --upgrade TransportMaps\n\nThese options will install the following modules:\n\n* MPI -- parallelization routines (see the `tutorial `_). It requires the separate installation of an MPI backend (`openMPI `_, `mpich `_, etc.). The following Python modules will be installed:\n * `mpi4py `_\n * `mpi_map `_\n\n* PLOT -- plotting capabilities:\n\n * `MatPlotLib `_\n\n* SPHINX -- documentation generation routines:\n\n * `sphinx `_\n * `sphinxcontrib-bibtex `_\n * `ipython `_\n * `nbsphinx `_\n\n* H5PY -- routines for the storage of big data-set. It requires the separate installation of the `hdf5 `_ backend.\n\n * `mpi4py `_\n * `h5py `_\n\n* PYHMC -- routines for Hamiltonian Markov Chain Monte Carlo\n\n * `pyhmc `_\n\nManual installation\n-------------------\n\nIf anything goes wrong with the automatic installation you can try to install manually the following packages.\n\nMandatory Back-end packages (usually installed with `numpy `_):\n\n* `BLAS `_ (with development/header files)\n* `LAPACK `_ (with development/header files)\n\nMandatory Python packages:\n\n* `pip `_\n* `numpy `_ >= 1.10\n* `scipy `_\n* `orthpol_light `_\n* `SpectralToolbox `_\n* `dill `_\n\nFinally install TransportMaps:\n\n $ pip install TransportMaps\n\nRunning the Unit Tests\n----------------------\n\nUnit tests are available and can be run through the command:\n\n >>> import TransportMaps as TM\n >>> TM.tests.run_all()\n\nThere are >3500 unit tests, and it will take some time to run all of them.\n\nStatus\n------\n\n+--------+----------------------------------------------------------------------------------+------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------+\n| | `Binary (PyPi) `_ | `Public source (Bitbucket) `_ | `Private master (Bitbucket) `_ | `Private develop (Bitbucket) `_ | `Private hotfixes (Bitbucket) `_ |\n+--------+----------------------------------------------------------------------------------+------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------+\n| Serial | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-pypi | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-public | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-master | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-develop | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-hotfixes |\n| | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-pypi | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-public | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-master | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-develop | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-hotfixes |\n+--------+----------------------------------------------------------------------------------+------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------+\n| MPI | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-pypi-mpi | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-public-mpi | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-master-mpi | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-develop-mpi | .. image:: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-hotfixes-mpi |\n| | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-pypi-mpi | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-public-mpi | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-master-mpi | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-develop-mpi | :target: https://acdl.mit.edu/csi/buildStatus/icon?job=TransportMaps-private-hotfixes-mpi |\n+--------+----------------------------------------------------------------------------------+------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------+\n\nCredits\n-------\n\nThis sofware has been developed and is being maintained by the `Uncertainty Quantification Group `_ at MIT, under the guidance of Prof. Youssef Marzouk.\n\n**Developing team**\n\n| Daniele Bigoni \u2013 [`www `_]\n| Alessio Spantini\n| Rebecca Morrison\n| Ricardo M. Baptista\n|",
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