Skip to content

Actions: Keysight/python-trsfile

Actions

Python package

Actions

Loading...
Loading

Show workflow options

Create status badge

Loading
python-package.yml
13 workflow runs
13 workflow runs

Filter by Event

Filter by Status

Filter by Branch

Filter by Actor

Merge pull request #54 from Keysight/handle-zero-tag-length Python package #44: Commit 0a2201d pushed by matthijsgeers-keysight
24s master
master
24s
Merge pull request #55 from Keysight/fixup-docblock Python package #43: Commit 41c7bca pushed by matthijsgeers-keysight
25s master
master
25s
Fixup documentation wording about trace padding Python package #42: Pull request #55 synchronize by rwols
22s fixup-docblock
fixup-docblock
22s
Fixup documentation wording about trace padding Python package #41: Pull request #55 opened by rwols
24s fixup-docblock
fixup-docblock
24s
Handle zero tag length Python package #40: Pull request #54 opened by rwols
29s handle-zero-tag-length
handle-zero-tag-length
29s
Merge pull request #50 from Keysight/feature/numpy-v2 Python package #39: Commit 1ed54d1 pushed by TomHKeysight
24s master
master
24s
Make the library compatible with numpy >= v1.24 and < v3 Python package #38: Pull request #50 synchronize by matthijsgeers-keysight
26s feature/numpy-v2
feature/numpy-v2
26s
Make the library compatible with numpy >= v1.24 and < v3 Python package #37: Pull request #50 synchronize by matthijsgeers-keysight
28s feature/numpy-v2
feature/numpy-v2
28s
Make the library compatible with numpy >= v1.24 and < v3 Python package #36: Pull request #50 synchronize by rwols
24s feature/numpy-v2
feature/numpy-v2
24s
Attempt at fixing CI Python package #35: Commit a16caf3 pushed by rwols
23s master
master
23s
Attempt at fixing CI Python package #34: Pull request #52 opened by rwols
21s fix-ci
fix-ci
21s
Make the library compatible with numpy >= v1.24 and < v3 Python package #33: Pull request #50 opened by rwols
16s feature/numpy-v2
feature/numpy-v2
16s
Easy fix to not depend on very old numpy Python package #32: Pull request #49 opened by ceesb
15s numpy2
numpy2
15s