This file is indexed.

/usr/lib/python3/dist-packages/cloudpickle-0.5.2.egg-info/PKG-INFO is in python3-cloudpickle 0.5.2-2.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
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