feat(PyPI): update metadata for jumpavg 0.4.2

+ Convert readme to .rst
+ Add Usage including a basic example.
 - Detailed description points to C-DASH methodology.
 + That page is updated for new defaults and better description.
+ Unify readme layout and origins with MLRsearch metadata.
 - Not releasing new MLRsearch version just for readme improvements.
+ Update the TODO file.

Change-Id: I76ac22b7f283f01349bf9a50459dc841e13b21ad
Signed-off-by: Vratko Polak <vrpolak@cisco.com>

1 files changed, 74 insertions, 0 deletions

diff --git a/PyPI/jumpavg/README.rst b/PyPI/jumpavg/README.rst
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+Jumpavg library
+===============
+
+Origins
+-------
+
+This library was developed as anomaly detection logic for "PAL" component
+of CSIT_ (Continuous System and Integration Testing) project
+of fd.io_ ("Fast Data"), one of LFN_ (Linux Foundation Networking) projects.
+Currently still being primarily used in PAL's successor: CSIT-DASH_.
+
+In order to make this code available in PyPI_ (Python Package Index),
+the setuputils stuff (later converted to pyproject.toml) has been added,
+but after some discussion, that directory_ ended up having
+only a symlink to the original place of tightly coupled CSIT code.
+
+Usage
+-----
+
+High level description
+______________________
+
+The main method is "classify", which partitions the input sequence of values
+into consecutive "groups", so that standard deviation of samples within a group
+is small.
+
+The design decisions that went into the final algorithm are heavily influenced
+by typical results seen in CSIT testing, so it is better to read about
+the inner workings of the classification procedure in CSIT documentation,
+especially the Minimum Description Length sub-chapter of `trend analysis`_.
+
+Example
+_______
+
+A very basic example, showing some inputs and the structure of output.
+The output is a single line, here shown wrapped for readability.
+
+..  code-block:: python3
+
+    >>> from jumpavg import classify
+    >>> classify(values=[2.1, 3.1, 3.2], unit=0.1)
+    BitCountingGroupList(max_value=3.2, unit=0.1, group_list=[BitCountingGroup(run_list=
+    [2.1], max_value=3.2, unit=0.1, comment='normal', prev_avg=None, stats=AvgStdevStats
+    (size=1, avg=2.1, stdev=0.0), cached_bits=6.044394119358453), BitCountingGroup(run_l
+    ist=[3.1, 3.2], max_value=3.2, unit=0.1, comment='progression', prev_avg=2.1, stats=
+    AvgStdevStats(size=2, avg=3.1500000000000004, stdev=0.050000000000000044), cached_bi
+    ts=10.215241265313393)], bits_except_last=6.044394119358453)
+
+Change log
+----------
+
+0.4.2: Should no longer divide by zero on empty inputs.
+
+0.4.1: Fixed bug of not penalizing large stdev enough (at all for size 2 stats).
+
+0.4.0: Added "unit" and "sbps" parameters so information content
+is reasonable even if sample values are below one.
+
+0.3.0: Considerable speedup by avoiding unneeded copy. Dataclasses used.
+Mostly API compatible, but repr looks different.
+
+0.2.0: API incompatible changes. Targeted to Python 3 now.
+
+0.1.3: Changed stdev computation to avoid negative variance due to rounding errors.
+
+0.1.2: First version published in PyPI.
+
+.. _CSIT: https://wiki.fd.io/view/CSIT
+.. _CSIT-DASH: https://csit.fd.io
+.. _directory: https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/jumpavg
+.. _fd.io: https://fd.io/
+.. _LFN: https://www.linuxfoundation.org/projects/networking/
+.. _PyPI: https://pypi.org/
+.. _trend analysis: https://csit.fd.io/cdocs/methodology/trending/analysis/#trend-analysis