Metadata-Version: 1.1
Name: numina
Version: 0.16
Summary: Numina reduction package
Home-page: http://guaix.fis.ucm.es/projects/numina
Author: Sergio Pascual
Author-email: sergiopr@fis.ucm.es
License: GPLv3
Description: ======
        Numina
        ======
        
        |zenodo| |docs| 
        
        .. image:: https://travis-ci.org/guaix-ucm/numina.svg?branch=master
            :target: https://travis-ci.org/guaix-ucm/numina
        
        .. image:: https://coveralls.io/repos/guaix-ucm/numina/badge.svg?branch=master&service=github 
            :target: https://coveralls.io/github/guaix-ucm/numina?branch=master 
        
        This is Numina, the data reduction package used by the following GTC
        instruments: EMIR, FRIDA, MEGARA and MIRADAS.
        
        Numina is distributed under GNU GPL, either version 3 of the License, 
        or (at your option) any later version. See the file LICENSE.txt for 
        details.
        
        Requirements
        ------------
        
        Python 2.7 or Python >= 3.4 is required. Numina requires the following
        packages installed in order to work properly:
        
         - setuptools (http://pythonhosted.org/setuptools/)
         - six >= 1.7 (https://pythonhosted.org/six/)
         - numpy >= 1.6 (http://numpy.scipy.org/) 
         - scipy (http://www.scipy.org)
         - astropy >= 1.0 (http://www.astropy.org/)
         - PyYaml (http://pyyaml.org/)
         - dateutil (https://pypi.org/project/python-dateutil/)
        
        For Python 2.7, the following compatibility packages are required:
          - singledispatch (https://pypi.python.org/pypi/singledispatch)
          - enum34 (https://pypi.org/project/enum34/)
        
        The documentation of the project is generated using Sphinx (http://sphinx.pocoo.org/)
        
        Additional packages are optionally required:
         - sphinx (http://sphinx-doc.org) to build the documentation
         - pytest (http://pytest.org) for testing
         - pytest-benchmark (https://github.com/ionelmc/pytest-benchmark/) for 
           benchmarks of certain algorithms
        
        Webpage: https://guaix.fis.ucm.es/projects/numina
        Maintainer: sergiopr@fis.ucm.es
        
        
        Stable version
        --------------
        
        The latest stable version of Numina can be downloaded from  
        https://pypi.python.org/pypi/numina
        
        To install numina, use the standard installation procedure:::
        
            $ tar zxvf numina-X.Y.Z.tar.gz
            $ cd numina-X.Y.Z
            $ python setup.py install
            
        
        The `install` command provides options to change the target directory. By default
        installation requires administrative privileges. The different installation options
        can be checked with::: 
        
           $ python setup.py install --help
           
        Development version
        -------------------
        
        The development version can be checked out with:::
        
            $ git clone https://github.com/guaix-ucm/numina.git
        
        And then installed following the standard procedure:::
        
            $ cd numina
            $ python setup.py install
        
        Building the documentation
        --------------------------
        The Numina documentation is based on `sphinx`_. With the package installed,
        the html documentation can be built from the `doc` directory::
        
          $ cd doc
          $ make html
          
        The documentation will be copied to a directory under `build/sphinx`. 
          
        The documentation can be built in different formats. The complete list will appear
        if you type `make` 
          
        .. _virtualenv: http://pypi.python.org/pypi/virtualenv
        .. _sphinx: http://sphinx.pocoo.org
        
        .. |docs| image:: https://readthedocs.org/projects/numina/badge/?version=latest
            :alt: Documentation Status
            :target: http://numina.readthedocs.org/en/latest/?badge=latest
        
        .. |zenodo| image:: https://zenodo.org/badge/13088/guaix-ucm/numina.svg
           :target: http://dx.doi.org/10.5281/zenodo.17986
        
Platform: UNKNOWN
Classifier: Programming Language :: C
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Astronomy
