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I think one of our internal studios is starting to use macOS, otherwise the only things that look notable are the memory leak fixes.
I wouldn't be sure precisely how to test that a change like this is safe. Is there a test-plan/matrix of items to assert against for our platform/python combinations? I'd be guessing:
windows 2019 / linux
python 2.7.latest / 3.5.latest / 3.6.latest / 3.7.latest / 3.8.latest (new in 2020.1)
is the matrix. On each, is it sufficient to run the test automation, or are there other assertions to make?
changelog
New functionality in 2020.1
#1979782 (Job #100909) * ***
Added support for Python 3.8.
#1971901 (Job #102669) * ** ***
Updated the spec templates to match the 2020.1 Helix Server specs.
New functionality in 2019.1
#1804040 (Job #98777) * ***
P4Python now requires p4api 2019.1
Added OSX support for 10.14, removed support for 10.8 and earlier
Added additional libraries from p4api 19.1 to the link lines on all platforms.
Fixed name conflicts between p4python modules and p4api extensions.
On Linux, detect glib version so the correct p4api libraries are downloaded and linked.
#1804040 (Job #97426) * ***
Will now link with either openssl 1.0.2 or 1.1.1
#1804040 (Job #98778) *
On Linux, if -ssl is not specified, will look for compatible ssl libraries,
and if not found, will download the openssl source, and build and install it.
#1894940 * (Job #98779) *
Fixed Windows issue where OpenSSL library names changed with Openssl 1.1.0+
Bug fixes in 2019.1
#1804040 (Job #98261) *
Changed setup.py to use subclasses, and process arguments the way setuputils wants.
#1894940 (Job #98423) *
Regex change to allow for space/extra characters in OpenSSL version
#1841909 (Job #99571) *
Memory leak in P4Result::Reset
#1841909 (Job #99549) *
Memory leak in Exception Handler
#184040 (Job #98782) *
P4Python does not install correctly with Maya 2019 "mayapy" interpreter
#1812102 (Job #98261) *
P4Python attempts to download P4API every time, ignoring --apidir
The text was updated successfully, but these errors were encountered:
Windows, Linux, Mac (some version within the past year or two)
Python 2.7, 3.6 (default/popular versions of python2/3 respectively)
As long as pip install p4python==<new_version> works on these platforms/python versions, LGTM
More thorough testing would include:
Running make in this repo on these targets
Running the plugin 'for real' on a buildkite agent for each of these targets
I wouldn't invest a huge amount of effort into testing this though, beyond checking pip install. taking the upgrade is opt-in and seems like a reasonably "safe" thing to do - we can always roll it back if there are some serious issues.
Since 2018.2, these changes have happened (https://www.perforce.com/perforce/doc.current/user/p4pythonnotes.txt) (below)
I think one of our internal studios is starting to use macOS, otherwise the only things that look notable are the memory leak fixes.
I wouldn't be sure precisely how to test that a change like this is safe. Is there a test-plan/matrix of items to assert against for our platform/python combinations? I'd be guessing:
is the matrix. On each, is it sufficient to run the test automation, or are there other assertions to make?
changelog
New functionality in 2020.1
New functionality in 2019.1
Bug fixes in 2019.1
#1804040 (Job #98261) *
Changed setup.py to use subclasses, and process arguments the way setuputils wants.
The text was updated successfully, but these errors were encountered: