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Start 1.6.0 dev cycle #537

Start 1.6.0 dev cycle

Start 1.6.0 dev cycle #537

Triggered via pull request August 11, 2026 21:40
Status Success
Total duration 10m 4s
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 (3.14, 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 (3.12, 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 (3.13, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
362 KB
sha256:e5161fcace9962ecd4fc1eac81ae321c03594a9e5bbe98f588119ada08fe7bcb
mkl_random Linux Python 3.11
380 KB
sha256:0ede6e2fc8f1d81157f1928d05769e7c001a7afb4aef7d3fc50700d04d339f13
mkl_random Linux Python 3.12
372 KB
sha256:35080d0c568b000c0d49f39a085d60cb7626fc83fbc99ac047b0a19d29731a51
mkl_random Linux Python 3.13
376 KB
sha256:7e1f54b7d0730d80cb7a2a7a444bc76b88ec773b861a4cb8f48a146e1f7b888d
mkl_random Linux Python 3.14
379 KB
sha256:5c4040ae5ebbe2977dcf675daf00836fcd1004cfb4557081c977641ee4948600
mkl_random Windows Python 3.10
295 KB
sha256:18c889ad969b2098f172b652486f20f9503e3332aa3e2c3683318613a2227d97
mkl_random Windows Python 3.11
317 KB
sha256:369fe18c0fd1563420c6314c75a26cb1f9eb52f63683eaba77af40443e9e7203
mkl_random Windows Python 3.12
298 KB
sha256:147b379aa4df9ddca244d8c128e44c75d7236559aeea69a65f89ba9d0b7c4a21
mkl_random Windows Python 3.13
299 KB
sha256:161224ffefd52fc842ad4d4920148fe9906505e1ca5455d45bbaf104b61a914f
mkl_random Windows Python 3.14
299 KB
sha256:ba7282007899d404dcec7e457b6be23f5fd266ef66f83bac6efeddd397e438f4