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Stabilize Coverity Scan triage and document known false positives #558

Stabilize Coverity Scan triage and document known false positives

Stabilize Coverity Scan triage and document known false positives #558

Triggered via pull request August 24, 2026 14:19
Status Success
Total duration 10m 20s
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 (3.14, 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
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 (3.10, 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

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
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mkl_random Linux Python 3.13
392 KB
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mkl_random Linux Python 3.14
394 KB
sha256:54f82e9640d7c7334a204baf8b3d287fd204e458ce98d2f18bc9edda6c4ed5a8
mkl_random Windows Python 3.10
317 KB
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mkl_random Windows Python 3.11
339 KB
sha256:bc17b3a230844e719ae3f574d545d23e5518b1b50965f24c3b18b552956a53ba
mkl_random Windows Python 3.12
313 KB
sha256:1e5b9540ce8e6fb88ccc07ebd453408c8950bd10440eeb4e733d2e0d7fd74781
mkl_random Windows Python 3.13
313 KB
sha256:92a4fa7cdb8e29457684e7e97220cfdd3d91a68b1bec221b641b0080f036013e
mkl_random Windows Python 3.14
313 KB
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