Skip to content

Support array_like low/high bounds for randint #581

Support array_like low/high bounds for randint

Support array_like low/high bounds for randint #581

Triggered via pull request September 3, 2026 17:32
Status Success
Total duration 11m 18s
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 (3.14, 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 (3.13, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
409 KB
sha256:d319a3f468f0c290356488357a3f7b78604af4f9c2ba989c63c045d015a97e3b
mkl_random Linux Python 3.11
431 KB
sha256:b93d97e24d93fc147588f160e6643572e5b215c8516ff65f069ba6530e437cc1
mkl_random Linux Python 3.12
419 KB
sha256:f999bda85189600b214b4fbeed68fe50fc5a17551f2ce574dc4500db24f1d912
mkl_random Linux Python 3.13
420 KB
sha256:b5991dde331356231564ffb568315d0a20cec80fc38bb0a1a4c039abe552e02d
mkl_random Linux Python 3.14
420 KB
sha256:2b50af6b22f74cd26673d12773348ee09d96971523e50af75108b5a6e6dda233
mkl_random Windows Python 3.10
338 KB
sha256:7e087d5f6adab1125218932564f34ae0cdb5e30de9f262cf3218a22f434889f5
mkl_random Windows Python 3.11
360 KB
sha256:f8a7a1cee2cf5e477913703dfb0ef3b1f2be707321927c580e4a656ec33f6861
mkl_random Windows Python 3.12
332 KB
sha256:49a4dad3ed5b5c0c1655204270eed1db352cf9142fcfac3ab17c811a5526f623
mkl_random Windows Python 3.13
334 KB
sha256:95ceda5204300d7c9b11d50dcd0c75021406472ce9ab1da99935fa50727de020
mkl_random Windows Python 3.14
333 KB
sha256:f36ac964fdc19bc2580cfcfe72537703825a9d7fe492bea72a4d73b54df228ac