Skip to content

perf: batch array-valued distribution parameters into a single fill #582

perf: batch array-valued distribution parameters into a single fill

perf: batch array-valued distribution parameters into a single fill #582

Re-run triggered September 4, 2026 07:10
Status Success
Total duration 9m 31s
Artifacts 10

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Fit to window
Zoom out
Zoom in

Annotations

5 warnings
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 (3.11, 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 (3.10, 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 (3.14, 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
391 KB
sha256:e59b8a2b5acfc95cb63cd2d29077df138edd9d5ae8ddadb5534cfc8e6d664e64
mkl_random Linux Python 3.11
413 KB
sha256:c41403dd6ea36469610bb882f4193bd0048a41fe4bcede97d793c0354a7e1689
mkl_random Linux Python 3.12
400 KB
sha256:41d49519a8dd8e18f4569fbd9df4775a162b7d79f95a2237d9cbe55a562ca1c3
mkl_random Linux Python 3.13
402 KB
sha256:4f46d19b71c454b33bef8bfa353d787635650c64a9609090d1ba20dea0a177a7
mkl_random Linux Python 3.14
404 KB
sha256:cdea3d424af4dbbd2d42f59a8af47425d297ec5f9d70299a22a3cdec9e55b1de
mkl_random Windows Python 3.10
325 KB
sha256:b3ee27babbdb0a3d8bb8b0d480f870e6771bfc163d6f3f8dd798afb7c72dab25
mkl_random Windows Python 3.11
347 KB
sha256:1b4fcec3ded75f586e7388294771de278c2165176631b83f51e7e931b9068373
mkl_random Windows Python 3.12
319 KB
sha256:e6ccbed4446c91f3bc241665ace3cd190893d1fa445ad3e999f3a2404d8ee476
mkl_random Windows Python 3.13
319 KB
sha256:821343c0f1da3c58d37fb97d6fdd5f6bfc8f0883430c9ff2d32a8cabbfc87149
mkl_random Windows Python 3.14
321 KB
sha256:b8c141c441ee802f2ce041ba9ac8fb236c240603afbff86c3ae8c6654a32d018