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-# Jumpavg library
-
-## Origins
-
-This library was developed as anomaly detection logic
-for [PAL](https://wiki.fd.io/view/CSIT/Design_Optimizations#Presentation_and_Analytics_Layer "Presentation and Analysis Layer")
-of [CSIT](https://wiki.fd.io/view/CSIT "Continuous System and Integration Testing")
-project of [fd.io](https://fd.io/ "Fast Data"),
-one of [LFN](https://www.linuxfoundation.org/projects/networking/ "Linux Foundation Networking") projects.
-
-Currently still being primarily used in PAL's successor [CSIT-DASH](https://csit.fd.io).
-
-In order to make this code available in [PyPI](https://pypi.org/ "Python Package Index"),
-the setuputils stuff has been added,
-and the code has been moved into a separate [directory](https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/jumpavg),
-in order to not intervere of otherwise tightly coupled CSIT code.
-
-## Usage
-
-TODO.
-
-## Change log
-
-TODO: Move into a separate file?
-
-+ 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.