Metadata-Version: 2.1
Name: MLRsearch
Version: 0.3.0
Summary: Library for speeding up binary search using shorter measurements.
Home-page: https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch;hb=refs/heads/master
Author: Cisco Systems Inc. and/or its affiliates
Author-email: csit-dev@lists.fd.io
License: UNKNOWN
Project-URL: Bug Reports, https://jira.fd.io/projects/CSIT/issues
Project-URL: Source, https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch;hb=refs/heads/master
Keywords: binary search throughput networking
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Telecommunications Industry
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: System :: Networking
Requires-Python: ~=3.6
Description-Content-Type: text/x-rst

Multiple Loss Ratio Search library
==================================

Origins
-------

This library was developed as a speedup for traditional binary search
in CSIT_ (Continuous System and Integration Testing) project of fd.io_
(Fast Data), one of LFN_ (Linux Foundation Networking) projects.

In order to make this code available in PyPI_ (Python Package Index),
the setuputils stuff has been added,
but after some discussion, the export directory_
is only a symlink to the original place of tightly coupled CSIT code.

Change log
----------

0.3.0: Migrated to Python 3.6, small code quality improvements.

0.2.0: Optional parameter "doublings" has been added.

0.1.1: First officially released version.

Usage
-----

TODO.

Operation logic
---------------

See `IETF draft`_.

.. _CSIT: https://wiki.fd.io/view/CSIT
.. _fd.io: https://fd.io/
.. _LFN: https://www.linuxfoundation.org/projects/networking/
.. _PyPI: https://pypi.org/
.. _directory: https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch;hb=refs/heads/master
.. _IETF draft: https://tools.ietf.org/html/draft-vpolak-mkonstan-bmwg-mlrsearch


