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CHANGES.txt
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SciMath Change Log
==================
Release 5.0.0
-------------
This is a major release that is focused around code clean-up and modernization.
Much of the work was around removing deprecated and broken components, while
updating code to remove usage of deprecated things from Python and ETS. In
particular, this release drops support for Python versions 3.5 and earlier.
Additionally, the ``scimath.units.plugin`` sub-package has been removed: it was
broken and removing it permitted a simplification of dependencies: we don't
require Envisage and its dependencies in this release.
Change summary since 4.2.0
~~~~~~~~~~~~~~~~~~~~~~~~~~
Enhancements
* move ``scimath.interpolate`` profiling script into its own module (#153)
* remove unused ``convert_quantity_old`` (#139)
* remove extraneous return statements (#129)
* remove print statements (#127)
* remove ``scimath.units.units_version`` (#121)
* remove references to the ``cp`` package (#117)
* update and clean-up headers (#116, #157)
* use one setup.py file with setuptools Extension (#115)
* clean up compile-time warnings (#114, #133, #152)
* remove out-of-place examples (#110)
* remove broken ``scimath.units.plugin`` subpackage (#109)
* remove unneeded ``if __name__ == "__main__":`` blocks (#105)
* remove support for Python 2 (#104, #113)
* remove EOF comments from files (#102, #120)
* remove use of deprecated Traits features (#93, #96)
Bugfixes
* fix deprecated ``time.clock`` (#150)
* fix hashing of units (#88)
Documentation:
* add a read-the-docs config (#148)
* remove out-dated TODO file (#137)
* use Enthought sphinx theme (#126)
* fix typos in documentation (#100)
Tests:
* remove unneeded ``setUp`` and ``tearDown`` methods (#130)
* use unittest discover instead of nose (#123)
* make tests usable with unittest discover (#103, #125)
* clean-up tests directories and files (#83, #108)
CI and Build:
* automatically publish releases on PyPI (#154)
* run CI on Python 3.8 (#151)
* don't report codecov on PRs (#138)
* reconcile prerequisites (#134)
* add a cron job to run against current ETS projects (#112)
* use Github rather than Travis and Appveyor for CI (#111, #136, #144)
* don't run CI on older Python versions (#107)
* CI updates and changes (#91, #97)
* add MANIFEST.in file (#82, #92, #132)
* add pyproject.toml with numpy as a build dependency (#78)
Release 4.2.0
-------------
Released : 06 February 2019
This minor release accumulates a large number of improvements, changes and
bug fixes to the scimath codebase.
A few highlights of this release are :
* Support for Python 3
* Enhancements to time units and the addition new units.
* Support for newer versions of Numpy
Change summary since 4.1.2
~~~~~~~~~~~~~~~~~~~~~~~~~~
* Change: Setup Travis and Appveyor CI (#71)
* Change: Use PEP 440 compliant development version (#69)
* Fix : Restore parsing of angular minutes and seconds (#66)
* Feature : Enhancement of time units (#65)
* Fix : Missing imports (#63)
* Fix : Support newer versions of Numpy (#62)
* Feature: Port to Python 3 (#50)
* Converted the most-used traits to authentic TraitTypes. (#57)
* Added ``__str__`` methods on ``UnitScalar`` and ``UnitArray`` classes, to make it easier
to see values with their unit (label) (#46).
* Fix: Adding unit test for extending unit parser (#43)
* Fix: Parser extend method throws a NameError when custom units are added to the parser. (#41)
* Feature: added inHg unit for inches of mercury (#40)
* Feature: added dimensionless "fract" unit (#38)
* Feature: added units barn, rayl, barns_per_electron, US survey foot (#33)
* Fix: ``'None'`` was parsed into an invalid unit with ``None`` as its ``value``. (#31)
* Fix: UnitArray comparisons will return boolean arrays, like their unadorned
ndarray counterpart. (#29)
* Fix: raising a unitless ``UnitArray`` raised to a power. Thanks to @rupertnash
for reporting and fixing the bug. (#5, #28)
* Fix: Remove trivial (0.0) offsets from the string representation of units. (#27)
* Fix: numpy change in how vectorize() keeps the original function. (#26)
* Feature: Enhance the unit parser to parse all of the provided units, with or without
offsets. (#25)
* Fix: Correct the definition of PPG to be a density unit instead of a pressure
gradient unit. Calculations using PPG as a pressure gradient unit can be
recovered simply by multiplying the PPG quantity by g, the acceleration due
to gravity. To precisely recover the exact values from the previous
definition, use ``0.0519 * psi_per_f / ppg`` for this value, which is not
necessarily the best estimate for g. (#24)
* Fix: Update to modern numpy C API to eliminate deprecation warnings (#22)
* Fix: PEP whitespace cleanups (#20)
* Fix: Address string literal deprecation warnings in _interpolate build, removing
warnings during compilation (#19)