python3-csb 1.2.3+dfsg-2 / usr / lib / python3 / dist-packages / csb-1.2.3.egg-info

Metadata-Version: 1.1
Name: csb
Version: 1.2.3
Summary: Computational Structural Biology Toolbox
Home-page: http://csb.codeplex.com
Author: Michael Habeck et al.
Author-email: ivan.kalev@gmail.com
License: MIT
Description: Computational Structural Biology Toolbox
        ========================================
        
        CSB is a python library and application framework, which can be used
        to solve problems in the field of structural bioinformatics. If
        you are a bioinformatician, software engineer or a researcher working
        in this field, chances are you may find something useful here. Our
        package consists of a few major components:
        
            1. Core class library -- object-oriented, granular, with an emphasis
               on design and clean interfaces. 
               
            2. Application framework -- console applications ("protocols"),
               which consume objects from the core library in order to build
               something executable (and hopefully useful).
               
            3. Test framework -- ensures that the library *actually* works.
        
        
        Compatibility
        -------------
        
        In short: CSB requires python 2.6 or higher.
        
        CSB is being developed on Linux, under python 2.7. However, compatibility
        is a design goal and the package works on any platform, on any modern python
        interpreter since version 2.6 (that includes python 3 support out of
        the box). If you found any issues on a platform/interpreter different from
        our development environment, please let us know.
        
        
        Installation 
        ------------
        
        Full installation instructions can be found in the INSTALL file packaged with
        this release, as well as on the project's web site:
        
            http://csb.codeplex.com/documentation
        
        Here we provide only a brief summary of the installation procedure.
        First, make sure all required dependencies are installed:
            
            1. numpy, scipy -- required
            2. matplotlib and wxPython -- optional, needed only if you want to use csb.io.plots
            3. unittest2, argparse -- needed only if you are running python 2.6
            
        Next, install CSB::     
        
            $ python setup.py install
            
        CSB has just been installed at the following location::
        
            $ python -c "import csb, os; print(os.path.abspath(os.path.join(csb.__path__[0], '..')))"
        
        Let us call this path *$LIB*.
                    
        
        Testing
        -------
        
        Running the CSB test suite may be useful if you made any modifications to
        the source code, or if you simply want to check if your installation works.
        
        All CSB tests are executed with the csb.test.Console. A typical way to run 
        the console is::
        
            $ python $LIB/csb/test/app.py "csb.test.cases.*"
            
        or just::
        
            $ python $LIB/csb/test/app.py         
        
        For help try::
        
            $ python $LIB/csb/test/app.py -h    
        
        For more details on our test framework, including guidelines for writing
        unit tests, please refer to the API documentation, package "csb.test".
        
        
        Running CSB Applications
        ------------------------
        
        CSB is bundled with a number of executable console csb.apps. Each app
        provides a standard command line interface. To run any app, try::
        
            $ python $LIB/csb/apps/appname.py --help
            
        where *appname* is the name of the application. For more details on
        our app framework, including guidelines for writing new applications,
        please refer to the API documentation, package "csb.apps".
        
        
        Documentation
        -------------
        
        The project's web site at `CodePlex <http://csb.codeplex.com>`_ contains
        online documentation and samples. Be sure to check
            
            http://csb.codeplex.com/documentation
        
        Detailed API documentation can be found in the "docs/api" directory in the
        distribution package (docs/api/index.html). Many packages contain
        introductory module level documentation and samples/tutorials. These are also
        available in the HTML docs, but a quick way to access them is by using
        the built-in python help system. For example, for a general introduction
        see the module documentation of the root package::
        
            $ python -c "import csb; help(csb)"
        
        If you are interested in a specific package, such as cs.bio.sequence,
        try::    
            
            $ python -c "import csb.bio.sequence; help(csb.bio.sequence)"
        
        
        Contact
        -------
        
        CSB is developed by Michael Habeck's Computational Structural Biology
        `research group <http://www.eb.tuebingen.mpg.de/research/research-groups/michael-habeck.html>`_.
            
        For complete source code, contribution, support or bug reports please visit
        our web site at CodePlex:
          
            `csb.codeplex.com <http://csb.codeplex.com>`_
            
        
        License
        -------
        
        CSB is open source and distributed under OSI-approved MIT license.
        ::
        
            Copyright (c) 2012 Michael Habeck
            
            Permission is hereby granted, free of charge, to any person obtaining
            a copy of this software and associated documentation files (the
            "Software"), to deal in the Software without restriction, including
            without limitation the rights to use, copy, modify, merge, publish,
            distribute, sublicense, and/or sell copies of the Software, and to
            permit persons to whom the Software is furnished to do so, subject to
            the following conditions:
            
            The above copyright notice and this permission notice shall be
            included in all copies or substantial portions of the Software.
            
            THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
            EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
            MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
            IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
            CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
            TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
            SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
Requires: numpy
Requires: scipy