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python3-markupsafe-0.23-6.lbn19.x86_64
A library for safe markup escaping.
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python3-mccabe-0.2.1-6.lbn19.noarch
Ned's script to check McCabe complexity.
This module provides a plugin for ``flake8``, the Python code
checker.
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python3-memcached-1.51-7.lbn19.noarch
Python3 port for pure python memcached client library, ported and being
kept up to date by https://github.com/eguven
Please report issues and submit code
changes to the github repository at:
https://github.com/eguven/python3-memcached
Below is the original README content.
This package was originally written by Evan Martin of Danga.
Sean Reifschneider of tummy.com, ltd. has taken over ...
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python3-mock-2.0.0-1.lbn19.noarch
Mock is a Python module that provides a core mock class. It removes the need
to create a host of stubs throughout your test suite. After performing an
action, you can make assertions about which methods / attributes were used and
arguments they were called with. You can also specify return values and set
needed attributes in the normal way.
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python3-mod_wsgi-4.5.2-1.lbn19.x86_64
The mod_wsgi adapter is an Apacheache module that provides a WSGI compliant
interface for hosting Python based web applications within Apache. The
adapter is writtentten completely in C code against the Apache C runtime and
for hosting WSGI applications within Apache has a lower overhead than using
existing WSGI adapters for mod_python or CGI.
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python3-ndg_httpsclient-0.4.0-3.lbn19.noarch
This is a HTTPS client implementation for httplib and urllib2 based on
PyOpenSSL. PyOpenSSL provides a more fully featured SSL implementation
over the default provided with Python and importantly enables full
verification of the SSL peer. This is the python3 library.
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python3-netaddr-0.7.18-7.lbn19.noarch
A pure Python network address representation and manipulation library.
netaddr provides a Pythonic way of working with :-
- IPv4 and IPv6 addresses and subnets
- MAC addresses, OUI and IAB identifiers, IEEE EUI-64 identifiers
- arbitrary (non-aligned) IP address ranges and IP address sets
- various non-CIDR IP range formats such as nmap and glob-style formats
Included are routines for :-
- generating, sorting and summarizing IP addresses and networks
- performing easy conversions between address notations and formats
- detecting, parsing and formatting network address representations
- performing set-based operations on groups of IP addresses and subnets
- working with arbitrary IP address ranges and formats
- accessing OUI and IAB organisational information published by IEEE
- accessing IP address and block information published by IANA
For details on the latest updates and changes, see :-
http://github.com/drkjam/netaddr/blob/rel-0.7.x/CHANGELOG
API documentation for the latest release is available here :-
http://packages.python.org/netaddr/
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python3-nose-1.3.7-7.lbn19.noarch
nose extends the test loading and running features of unittest, making
it easier to write, find and run tests.
By default, nose will run tests in files or directories under the
current working directory whose names include "test" or "Test" at a
word boundary (like "test_this" or "functional_test" or "TestClass"
but not "libtest"). Test output is similar to that of unittest, but
also includes captured stdout output from failing tests, for easy
print-style debugging.
These features, and many more, are customizable through the use of
plugins. Plugins included with nose provide support for doctest, code
coverage and profiling, flexible attribute-based test selection,
output capture and more.
This package installs the nose module and nosetests3 program that can discover
python3 unittests.
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python3-nose-cover3-0.1.0-12.lbn19.noarch
Coverage 3.x support for Nose.
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python3-numpy-1.11.0-4.lbn19.x86_64
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
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