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Stabilize Coverity Scan triage and document known false positives #563

Stabilize Coverity Scan triage and document known false positives

Stabilize Coverity Scan triage and document known false positives #563

Triggered via pull request August 31, 2026 12:46
Status Success
Total duration 10m 30s
Artifacts 10

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
build_windows (3.13, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.12, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.10, 2.2)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.11, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.14, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
382 KB
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mkl_random Linux Python 3.11
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mkl_random Linux Python 3.12
390 KB
sha256:a5d127dd4b992944328fbabf440074b72baab19e7c0d9861ef53d58f10f8ad53
mkl_random Linux Python 3.13
392 KB
sha256:9107e44695e5e2b457098a4e3660e98a9fb879ba864bd6f84ea882d3c1773de4
mkl_random Linux Python 3.14
393 KB
sha256:0dbc8ada968a958a225b3efb7352c1a75418416c03830a1c9ca161008c1230c6
mkl_random Windows Python 3.10
317 KB
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mkl_random Windows Python 3.11
339 KB
sha256:0fae7687c9b2c5f88d35de2c4ad144ef6b330a3112e2d86c9ff1a454a0e48a4e
mkl_random Windows Python 3.12
313 KB
sha256:0d322ea649be52e2f5dbb51c78c5f6b1669e80b11dae7d982c4c5a230c920f49
mkl_random Windows Python 3.13
313 KB
sha256:81fc75821980ae64ae65ae83c85f0626c17d748bb1a57355ce5b3c1739257bb2
mkl_random Windows Python 3.14
313 KB
sha256:3996bda380eaaf20b85c8b6cc2b340e0ce70f220350b1cd7c37568954a3a6820