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[WIP] Use numpy.ndarray and numpy dtypes instead of memref types in Python API #5416

[WIP] Use numpy.ndarray and numpy dtypes instead of memref types in Python API

[WIP] Use numpy.ndarray and numpy dtypes instead of memref types in Python API #5416

Triggered via pull request October 1, 2024 15:17
Status Failure
Total duration 5m 3s
Artifacts 2

lintAndFormat.yml

on: pull_request
Python and C/C++ Lint
1m 31s
Python and C/C++ Lint
Check code format
42s
Check code format
C/C++ test code coverage
4m 48s
C/C++ test code coverage
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1 error and 3 warnings
C/C++ test code coverage
Process completed with exit code 1.
Check code format
The following actions use a deprecated Node.js version and will be forced to run on node20: actions/upload-artifact@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
Python and C/C++ Lint
The following actions use a deprecated Node.js version and will be forced to run on node20: actions/upload-artifact@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
Deprecation notice: v1, v2, and v3 of the artifact actions
The following artifacts were uploaded using a version of actions/upload-artifact that is scheduled for deprecation: "clang-tidy-fixes.yml", "format_diffs". Please update your workflow to use v4 of the artifact actions. Learn more: https://github.blog/changelog/2024-04-16-deprecation-notice-v3-of-the-artifact-actions/

Artifacts

Produced during runtime
Name Size
clang-tidy-fixes.yml
3.75 KB
format_diffs
233 Bytes