feat(jumpavg): speed up, use Python 3.8 features

+ The main speedup comes from abandoning copy.deepcopy(),
  doing shallow list copies (at most) and introcuding copy_fast().
+ Turn into dataclasses whenever possible, use type hints.
+ Simplify the partition search code,
 + It is now clearer the time complexity is O(N*(N+n)),
   where N is number of samples, and n is the average size
   of the last group of the current record glist.
+ Used black for formatting, so no u"" anymore.
+ Update metadata for 0.3.0 release.

Change-Id: I302203b4d42aeb22be1128e2fe72353a44eae5d0
Signed-off-by: Vratko Polak <vrpolak@cisco.com>

1 files changed, 3 insertions, 3 deletions

diff --git a/PyPI/jumpavg/setup.py b/PyPI/jumpavg/setup.py
index 28ddfcf0b1..129277a26e 100644
--- a/PyPI/jumpavg/setup.py
+++ b/PyPI/jumpavg/setup.py
@@ -16,7 +16,7 @@ with open(path.join(here, u"README.rst"), encoding=u"utf-8") as f:
 
 setup(
     name=u"jumpavg",
-    version=u"0.2.0",  # This is currently the only place listing the version.
+    version=u"0.3.0",  # This is currently the only place listing the version.
     description=(
         u"Library for locating changes in time series by grouping results."
     ),
@@ -36,12 +36,12 @@ setup(
         u"License :: OSI Approved :: Apache Software License",
         u"Natural Language :: English",
         # TODO: Test which Python versions is the code compatible with.
-        u"Programming Language :: Python :: 2.7",
+        u"Programming Language :: Python :: 3.8",
         u"Topic :: Scientific/Engineering :: Information Analysis"
     ],
     keywords=u"progression regression anomaly detection statistics bits",
     packages=find_packages(exclude=[]),
-    python_requires="~=3.6",
+    python_requires="~=3.8",
     install_requires=[],
     # TODO: Include simulator and tests.
     extras_require={