Metadata-Version: 1.1
Name: multiprocess
Version: 0.70.5
Summary: better multiprocessing and multithreading in python
Home-page: http://github.com/uqfoundation
Author: Mike McKerns
Author-email: mmckerns at uqfoundation dot org
License: BSD
Download-URL: http://dev.danse.us/packages/
Description: -----------------------------------------------------------------
        multiprocess: better multiprocessing and multithreading in python
        -----------------------------------------------------------------
        
        About Multiprocess
        ====================
        
        multiprocess is a fork of multiprocessing, and is developed as part of pathos: 
        https://github.com/uqfoundation/pathos
        
        `Multiprocessing` is a package for the Python language which supports the
        spawning of processes using the API of the standard library's
        `threading` module. `multiprocessing` has been distributed in the standard
        library since python 2.6.
        
        Features:
        
            - Objects can be transferred between processes using pipes or multi-producer/multi-consumer queues.
            - Objects can be shared between processes using a server process or (for simple data) shared memory.
            - Equivalents of all the synchronization primitives in `threading` are available.
            - A `Pool` class makes it easy to submit tasks to a pool of worker processes.
        
        
        Pathos is a python framework for heterogeneous computing.
        Pathos is in active development, so any user feedback, bug reports, comments,
        or suggestions are highly appreciated.  A list of known issues is maintained at http://trac.mystic.cacr.caltech.edu/project/pathos/query, with a public ticket list at https://github.com/uqfoundation/pathos/issues.
        
        NOTE: A C compiler is required to build the included extension module. For python 3.3 and above, a C compiler is suggested, but not required.
        
        
        Major Changes
        ==============
        
            - enhanced serialization, using dill
        
        
        Current Release
        ===============
        
        This version is multiprocess-0.70.5 (a fork of multiprocessing-0.70a1).
        
        The latest released pathos fork of multiprocessing is available from::
        
            https://pypi.python.org/pypi/multiprocess
        
        Multiprocessing is distributed under a BSD license.
        
        
        Development Version
        ===================
        
        You can get the latest development version with all the shiny new features at::
        
            https://github.com/uqfoundation
        
        If you have a new contribution, please submit a pull request.
        
        
        Installation
        ============
        
        Multiprocess is packaged to install from source, so you must
        download the tarball, unzip, and run the installer::
        
            [download]
            $ tar -xvzf multiprocess-0.70.5.tgz
            $ cd multiprocess-0.70.5
            $ python setup.py build
            $ python setup.py install
        
        You will be warned of any missing dependencies and/or settings
        after you run the "build" step above.
        
        Alternately, multiprocess can be installed with pip or easy_install::
        
            $ pip install multiprocess
        
        NOTE: A C compiler is required to build the included extension module. For python 3.3 and above, a C compiler is suggested, but not required.
        
        
        Requirements
        ============
        
        Multiprocess requires::
        
            - python2, version >= 2.5  *or*  python3, version >= 3.1
        
        Optional requirements::
        
            - setuptools, version >= 0.6
            - dill, version >= 0.2.6
        
        
        More Information
        ================
        
        Probably the best way to get started is to look at the examples that are
        provided within multiprocess.  See the examples directory for a set of
        example scripts.  Please feel free to submit a ticket on github, or ask
        a question on stackoverflow (@Mike McKerns).
        
        Pathos is an active research tool. There are a growing number of publications
        and presentations that discuss real-world examples and new features of pathos
        in greater detail than presented in the user's guide.  If you would like to
        share how you use pathos in your work, please post a link or send an email
        (to mmckerns at uqfoundation dot org).
        
        
        Citation
        ========
        
        If you use pathos to do research that leads to publication, we ask that you
        acknowledge use of pathos by citing the following in your publication::
        
            M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis,
            "Building a framework for predictive science", Proceedings of
            the 10th Python in Science Conference, 2011;
            http://arxiv.org/pdf/1202.1056
        
            Michael McKerns and Michael Aivazis,
            "pathos: a framework for heterogeneous computing", 2010- ;
            http://trac.mystic.cacr.caltech.edu/project/pathos
        
        Please see http://trac.mystic.cacr.caltech.edu/project/pathos or
        http://arxiv.org/pdf/1202.1056 for further information.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
