python-cloudpickle 0.5.2-2 / usr / lib / python2.7 / dist-packages / cloudpickle-0.5.2.egg-info / PKG-INFO

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Metadata-Version: 1.1
Name: cloudpickle
Version: 0.5.2
Summary: Extended pickling support for Python objects
Home-page: https://github.com/cloudpipe/cloudpickle
Author: Cloudpipe
Author-email: cloudpipe@googlegroups.com
License: LICENSE.txt
Description-Content-Type: UNKNOWN
Description: # cloudpickle
        
        [![Build Status](https://travis-ci.org/cloudpipe/cloudpickle.svg?branch=master
            )](https://travis-ci.org/cloudpipe/cloudpickle)
        [![codecov.io](https://codecov.io/github/cloudpipe/cloudpickle/coverage.svg?branch=master)](https://codecov.io/github/cloudpipe/cloudpickle?branch=master)
        
        `cloudpickle` makes it possible to serialize Python constructs not supported
        by the default `pickle` module from the Python standard library.
        
        `cloudpickle` is especially useful for cluster computing where Python
        expressions are shipped over the network to execute on remote hosts, possibly
        close to the data.
        
        Among other things, `cloudpickle` supports pickling for lambda expressions,
        functions and classes defined interactively in the `__main__` module.
        
        `cloudpickle` uses `pickle.HIGHEST_PROTOCOL` by default: it is meant to
        send objects between processes running the same version of Python. It is
        discouraged to use `cloudpickle` for long-term storage.
        
        Installation
        ------------
        
        The latest release of `cloudpickle` is available from
        [pypi](https://pypi.python.org/pypi/cloudpickle):
        
            pip install cloudpickle
        
        
        Examples
        --------
        
        Pickling a lambda expression:
        
        ```python
        >>> import cloudpickle
        >>> squared = lambda x: x ** 2
        >>> pickled_lambda = cloudpickle.dumps(squared)
        
        >>> import pickle
        >>> new_squared = pickle.loads(pickled_lambda)
        >>> new_squared(2)
        4
        ```
        
        Pickling a function interactively defined in a Python shell session
        (in the `__main__` module):
        
        ```python
        >>> CONSTANT = 42
        >>> def my_function(data):
        ...    return data + CONSTANT
        ...
        >>> pickled_function = cloudpickle.dumps(my_function)
        >>> pickle.loads(pickled_function)(43)
        85
        ```
        
        Running the tests
        -----------------
        
        - With `tox`, to test run the tests for all the supported versions of
          Python and PyPy:
        
              pip install tox
              tox
        
          or alternatively for a specific environment:
        
              tox -e py27
        
        
        - With `py.test` to only run the tests for your current version of
          Python:
        
              pip install -r dev-requirements.txt
              PYTHONPATH='.:tests' py.test
        
        
        History
        -------
        
        `cloudpickle` was initially developed by [picloud.com](http://web.archive.org/web/20140721022102/http://blog.picloud.com/2013/11/17/picloud-has-joined-dropbox/) and shipped as part of
        the client SDK.
        
        A copy of `cloudpickle.py` was included as part of PySpark, the Python
        interface to [Apache Spark](https://spark.apache.org/). Davies Liu, Josh
        Rosen, Thom Neale and other Apache Spark developers improved it significantly,
        most notably to add support for PyPy and Python 3.
        
        The aim of the `cloudpickle` project is to make that work available to a wider
        audience outside of the Spark ecosystem and to make it easier to improve it
        further notably with the help of a dedicated non-regression test suite.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
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: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: System :: Distributed Computing

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