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Create workflow for auto assignment of issues and for stale issues #2313
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sachinprasadhs
commented
Jan 22, 2024
- Create auto assignment for all the incoming issues.
- Add Github action to close the inactive issues which is awaiting response from the contributor.
stale-issue-label: "stale" | ||
# reason for closed the issue default value is not_planned | ||
close-issue-reason: not_planned | ||
any-of-labels: "stat:contributions welcome,good first issue" |
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let us not close contributions welcome issue as stale
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For contribution welcome, for stale label to apply it will take 180 days and to close issue it will be 365 days.
Totally, it will be 1.5 years before we close these issues due to any inactivity.
Following the same practice in other keras repo's as well.
Do you still want me to remove this section?
It will be closed if no further activity occurs. Thank you. | ||
# List of labels to remove when issues/PRs unstale. | ||
labels-to-remove-when-unstale: "stat:awaiting response from contributor" | ||
close-issue-message: > |
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Let us only close the issue when contributor has not responded. Let us keep the issue open if the team has not yet responded.
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Yes, it only applies when the label only-labels: "stat:awaiting response from contributor" is added and is inactive for 14 days, if this label is not added to the issue stale will not be applied.
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Thanks for the PR Sachin! Just a few comments
…2313) * Create auto-assignment.yaml * Create auto-assignment.js * Create stale-issue-pr.yaml * Rename auto-assignment.yaml to auto-assignment.yml * Rename stale-issue-pr.yaml to stale-issue-pr.yml
* Move keras-cv markdown files to toplevel (#2291) Keras, KerasNLP and KerasTuner all store things liek the CONTRIBUTING.md in the toplevel of the repo. We should do the same here. * Add `version()` API to unify with Keras and KerasNLP (#2199) * Unify `version` API with keras and keras_nlp * Formatting * Update to keep `version` parity with KerasNLP, support nightly version string * Update version_utils.py * Update version_utils.py * Update random_crop_and_zoom.py (#2294) * Update random_crop_and_zoom.py * Update description * rename file * bug fix (#2303) * Add BASNet Segmentation Model (#2006) (#2271) * BASNet model initial code structure * adding test and initial preset details * adding comments * cleaning and formatting code * keras 3 support added * disabling preset test for BASNet * Fix image.shape type (#2305) Fixed image.shape issue for tensorflow backend * Create workflow for auto assignment of issues and for stale issues (#2313) * Create auto-assignment.yaml * Create auto-assignment.js * Create stale-issue-pr.yaml * Rename auto-assignment.yaml to auto-assignment.yml * Rename stale-issue-pr.yaml to stale-issue-pr.yml * Fix format and Update Vectorized Base (#2323) * Fix CI Test for Basnet OOM and PyCoCo Test Failure for JAX (#2322) * Reduce memory consumption for BasNet tests (#2325) --------- Co-authored-by: Matt Watson <[email protected]> Co-authored-by: Gabriel Rasskin <[email protected]> Co-authored-by: Sachin Prasad <[email protected]> Co-authored-by: Haifeng Jin <[email protected]> Co-authored-by: Hamid Ali <[email protected]> Co-authored-by: Tirth Patel <[email protected]>
…eras-team#2313) * Create auto-assignment.yaml * Create auto-assignment.js * Create stale-issue-pr.yaml * Rename auto-assignment.yaml to auto-assignment.yml * Rename stale-issue-pr.yaml to stale-issue-pr.yml