Bug 1833392
| Summary: | numpy: unowned __pycache__ directory | ||
|---|---|---|---|
| Product: | [Fedora] Fedora | Reporter: | Jerry James <loganjerry> |
| Component: | numpy | Assignee: | Gwyn Ciesla <gwync> |
| Status: | CLOSED ERRATA | QA Contact: | Fedora Extras Quality Assurance <extras-qa> |
| Severity: | low | Docs Contact: | |
| Priority: | unspecified | ||
| Version: | 32 | CC: | cstratak, gwync, jspaleta, orion, rdieter, tomspur |
| Target Milestone: | --- | ||
| Target Release: | --- | ||
| Hardware: | All | ||
| OS: | Linux | ||
| Whiteboard: | |||
| Fixed In Version: | numpy-1.18.4-2.fc32 | Doc Type: | --- |
| Doc Text: | Story Points: | --- | |
| Clone Of: | Environment: | ||
| Last Closed: | 2020-05-10 03:49:52 UTC | Type: | Bug |
| Regression: | --- | Mount Type: | --- |
| Documentation: | --- | CRM: | |
| Verified Versions: | Category: | --- | |
| oVirt Team: | --- | RHEL 7.3 requirements from Atomic Host: | |
| Cloudforms Team: | --- | Target Upstream Version: | |
| Embargoed: | |||
FEDORA-2020-d64ddc7380 has been submitted as an update to Fedora 32. https://bodhi.fedoraproject.org/updates/FEDORA-2020-d64ddc7380 FEDORA-2020-d64ddc7380 has been pushed to the Fedora 32 testing repository. In short time you'll be able to install the update with the following command: `sudo dnf upgrade --enablerepo=updates-testing --advisory=FEDORA-2020-d64ddc7380` You can provide feedback for this update here: https://bodhi.fedoraproject.org/updates/FEDORA-2020-d64ddc7380 See also https://fedoraproject.org/wiki/QA:Updates_Testing for more information on how to test updates. FEDORA-2020-d64ddc7380 has been pushed to the Fedora 32 stable repository. If problem still persists, please make note of it in this bug report. |
Description of problem: After upgrading from Fedora 31 to 32 (and consequently from python 3.7 to 3.8), I found an empty directory: /usr/lib64/python3.7/site-packages/numpy/__pycache__ The numpy package does not own %{python3_sitearch}/numpy/__pycache__, but should. Version-Release number of selected component (if applicable): python3-numpy-1.18.3-1.fc32.x86_64 How reproducible: N/A Steps to Reproduce: 1. 2. 3. Actual results: Expected results: Additional info: