Modified items

All recently modified items, latest first.

python3-lockfile-0.12.2-1.lbn25.noarch: The lockfile module exports a FileLock class which provides a simple API for locking files. Unlike the Windows msvcrt.locking function, the Unix fcntl.flock, fcntl.lockf and the deprecated posixfile module, the API is identical across both Unix (including Linux and Mac) and Windows platforms. The lock mechanism relies on the atomic nature of the link (on Unix) and mkdir (on Windows) system calls. This is a Python 3 build of lockfile package.

easymock-3.4-2.lbn25.noarch: EasyMock provides Mock Objects for interfaces in JUnit tests by generating them on the fly using Java's proxy mechanism. Due to EasyMock's unique style of recording expectations, most refactorings will not affect the Mock Objects. So EasyMock is a perfect fit for Test-Driven Development.

python3-gflags-2.0-7.lbn25.py37.noarch: This project is the python equivalent of google-gflags, a Google commandline flag implementation for C++. It is intended to be used in situations where a project wants to mimic the command-line flag handling of a C++ app that uses google-gflags, or for a Python app that, via swig or some other means, is linked with a C++ app that uses google-gflags. The gflags package contains a library that implements commandline flags processing. As such it's a replacement for getopt(). It has increased flexibility, including built-in support for Python types, and the ability to define flags in the source file in which they're used. (This last is its major difference from OptParse.)

python3-tables-3.4.4-2.lbn25.py37.x86_64: PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 3.

python3-requests-toolbelt-0.9.1-1.lbn25.noarch: This is just a collection of utilities for python-requests, but don’t really belong in requests proper. Python 3 version.

python3-numexpr-2.6.1-3.lbn25.py37.x86_64: The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.

python3-Bottleneck-1.2.1-7.lbn25.py37.x86_64: python3-Bottleneck is a collection of fast NumPy array functions written in Cython.

python3-pygraphviz-1.5-3.lbn25.x86_64: PyGraphviz is a Python interface to the Graphviz graph layout and visualization package. With PyGraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. PyGraphviz is independent from NetworkX but provides a similar programming interface. This package contains the version for Python 3.

python3-pydot-1.2.2-1.lbn25.py37.noarch: An interface for creating both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported (up to Graphviz 2.16). Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi.

python3-pandas-0.25.3-2.lbn25.x86_64: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

python3-multi_key_dict-2.0.3-8.lbn25.py37.noarch: Implementation of a multi-key dictionary, i.e.: (key1[,key2, ..]) => value This dictionary has a similar interface to the standard dictionary => but is extended to support multiple keys referring to the same element.

python3-matplotlib-data-fonts-3.1.1-1.lbn25.1.noarch: Fonts used by python-matplotlib

python3-matplotlib-data-3.1.1-1.lbn25.1.noarch: Data used by python-matplotlib

python3-matplotlib-3.1.1-1.lbn25.1.x86_64: Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.

OpenStack CI/CD (Jenkins, Gerrit, Zuul): BastionLinux/Continuous Integration/Continuous Delivery on Amazon Marketplace. This is

zenoss5-rabbitmq-5.3.2-1.lbn25.noarch: rabbitmq-server setup for Zenoss. This is a separate package to easily enable large-scale Zenoss deployment


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