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Stabilize Coverity Scan triage and document known false positives #555

Stabilize Coverity Scan triage and document known false positives

Stabilize Coverity Scan triage and document known false positives #555

Triggered via pull request August 24, 2026 13:23
Status Success
Total duration 10m 48s
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 (3.11, 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 (3.13, 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 (3.14, 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 (3.10, 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 (3.12, 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

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
389 KB
sha256:fa7d6f82dd660955430bc36db83cd9cf140aedf81d90387a39fbea1573532f71
mkl_random Linux Python 3.13
392 KB
sha256:ba4bd3bd457511a103d028d851f6d0dddb8fdd48c1d62c5844477aa2b54d60ff
mkl_random Linux Python 3.14
393 KB
sha256:de75190388fa01ff9edb6f95f5618ff981b3b94bb0d3b72c8b4eda973d579d76
mkl_random Windows Python 3.10
317 KB
sha256:6ad063b4069da789b33cbb9f31daabdf8955ba961839fcf5360071852de99433
mkl_random Windows Python 3.11
339 KB
sha256:a6a5e86d026d4003ee165f5616f516b6ed95630bc2c6788c31ed68861f7fff4a
mkl_random Windows Python 3.12
313 KB
sha256:d594b51b0d5bab8d05fca1fb33c07a7c3dd12dbb1bb5d61a6c05adba5a326c88
mkl_random Windows Python 3.13
312 KB
sha256:d654cb676b7cc594c881be8c7c625701aebc5db6bc5330abd1428ca5ebc93e68
mkl_random Windows Python 3.14
314 KB
sha256:a1f580b7bccf19397a148faa89fd5a0155ce8e76f45de086179150014b315432