use-conda-reusable-test-workflow - Branch - conda/conda-libmamba-solver

Update tests.yml to use reusable conda test suite workflow from branch

#764

Comparing

use-conda-reusable-test-workflow

(

0937d11

) with

main

(

5592195

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Untouched: 40

Benchmarks

Passed

test_traversal_algorithm_benchmarks[scientific-computing-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

+4%

1.8 s1.7 s

test_traversal_algorithm_benchmarks[scientific-computing-shortest_bfs-cold]

tests/test_shards_subset.py

+3%

2 s1.9 s

test_traversal_algorithm_benchmarks[scientific-computing-shortest_bfs-warm]

tests/test_shards_subset.py

+3%

894.2 ms868.1 ms

test_traversal_algorithm_benchmarks[python-shortest_bfs-warm]

tests/test_shards_subset.py

+2%

70.6 ms69 ms

test_traversal_algorithm_benchmarks[devops-automation-shortest_bfs-cold]

tests/test_shards_subset.py

+2%

1.2 s1.2 s

test_traversal_algorithm_benchmarks[web-development-shortest_dijkstra-cold]

tests/test_shards_subset.py

+2%

2.9 s2.9 s

test_load_channel_repo_info[repodata-conda-forge]

tests/test_index.py

+1%

29.1 s28.9 s

test_load_channel_repo_info[shard-conda-forge-sharded]

tests/test_index.py

+1%

258.7 ms257 ms

test_traversal_algorithm_benchmarks[data-science-basic-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

+1%

1.2 s1.2 s

test_shard_cache_multiple_profile[retrieve_multiple]

tests/test_shards.py

736 µs732.5 µs

test_shard_cache_multiple_profile[retrieve_single]

tests/test_shards.py

1.1 ms1.1 ms

test_traversal_algorithm_benchmarks[data-science-ml-shortest_dijkstra-cold]

tests/test_shards_subset.py

1.5 s1.5 s

test_traversal_algorithm_benchmarks[web-development-shortest_bfs-cold]

tests/test_shards_subset.py

2.8 s2.8 s

test_traversal_algorithm_benchmarks[devops-automation-shortest_bfs-lukewarm]

tests/test_shards_subset.py

1 s1 s

test_traversal_algorithm_benchmarks[data-science-ml-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

1.4 s1.4 s

test_traversal_algorithm_benchmarks[data-science-ml-shortest_bfs-lukewarm]

tests/test_shards_subset.py

1.3 s1.3 s

test_traversal_algorithm_benchmarks[python-shortest_bfs-cold]

tests/test_shards_subset.py

217.5 ms217.5 ms

test_traversal_algorithm_benchmarks[python-shortest_bfs-lukewarm]

tests/test_shards_subset.py

217.1 ms217.2 ms

test_traversal_algorithm_benchmarks[data-science-basic-shortest_dijkstra-warm]

tests/test_shards_subset.py

595.5 ms595.8 ms

test_traversal_algorithm_benchmarks[data-science-basic-shortest_bfs-cold]

tests/test_shards_subset.py

1.3 s1.3 s

test_traversal_algorithm_benchmarks[web-development-shortest_bfs-lukewarm]

tests/test_shards_subset.py

2.6 s2.6 s

test_traversal_algorithm_benchmarks[web-development-shortest_dijkstra-warm]

tests/test_shards_subset.py

1.5 s1.5 s

test_traversal_algorithm_benchmarks[data-science-basic-shortest_bfs-lukewarm]

tests/test_shards_subset.py

1.2 s1.2 s

test_traversal_algorithm_benchmarks[web-development-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

2.6 s2.6 s

test_traversal_algorithm_benchmarks[scientific-computing-shortest_dijkstra-warm]

tests/test_shards_subset.py

887.7 ms890.2 ms

test_traversal_algorithm_benchmarks[data-science-ml-shortest_bfs-warm]

tests/test_shards_subset.py

650 ms652.1 ms

test_traversal_algorithm_benchmarks[devops-automation-shortest_dijkstra-warm]

tests/test_shards_subset.py

506.4 ms508 ms

test_traversal_algorithm_benchmarks[python-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

-1%

220.1 ms221.2 ms

test_traversal_algorithm_benchmarks[devops-automation-shortest_dijkstra-lukewarm]

tests/test_shards_subset.py

-1%

1 s1 s

test_traversal_algorithm_benchmarks[devops-automation-shortest_bfs-warm]

tests/test_shards_subset.py

-1%

468 ms471.5 ms

test_traversal_algorithm_benchmarks[web-development-shortest_bfs-warm]

tests/test_shards_subset.py

-1%

1.4 s1.4 s

test_traversal_algorithm_benchmarks[data-science-basic-shortest_dijkstra-cold]

tests/test_shards_subset.py

-1%

1.4 s1.4 s

test_traversal_algorithm_benchmarks[scientific-computing-shortest_dijkstra-cold]

tests/test_shards_subset.py

-1%

1.9 s1.9 s

test_traversal_algorithm_benchmarks[python-shortest_dijkstra-cold]

tests/test_shards_subset.py

-1%

218.7 ms221.5 ms

test_traversal_algorithm_benchmarks[python-shortest_dijkstra-warm]

tests/test_shards_subset.py

-1%

76.3 ms77.3 ms

test_traversal_algorithm_benchmarks[data-science-basic-shortest_bfs-warm]

tests/test_shards_subset.py

-1%

582.3 ms590.8 ms

test_traversal_algorithm_benchmarks[devops-automation-shortest_dijkstra-cold]

tests/test_shards_subset.py

-2%

1.2 s1.2 s

test_traversal_algorithm_benchmarks[scientific-computing-shortest_bfs-lukewarm]

tests/test_shards_subset.py

-2%

1.7 s1.8 s

test_traversal_algorithm_benchmarks[data-science-ml-shortest_dijkstra-warm]

tests/test_shards_subset.py

-2%

656.5 ms669.4 ms

test_traversal_algorithm_benchmarks[data-science-ml-shortest_bfs-cold]

tests/test_shards_subset.py

-2%

1.5 s1.5 s

Commits

Click on a commit to change the comparison range

Base

main

5592195

-0.41%

Update tests.yml to use reusable conda test suite workflow from branch

77530f9

22 days ago

by jezdez

+0.44%

Fix linux-qemu job: make requirements files optional The conda-libmamba-solver repo doesn't have requirements-Linux.txt or requirements-ci.txt files. Make these optional by checking if they exist before including them in the conda create command. This allows the linux-qemu job to work in conda-libmamba-solver where only tests/requirements.txt exists.

cbfb345

20 days ago

by jezdez

+0.08%

[pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci

ee321e3

18 days ago

by pre-commit-ci[bot]

-0.08%

Fix test_gpu_cpu_mutexes: handle pytorch 1.12 cudatoolkit limitation The test was failing because pytorch 1.12 still installs cudatoolkit even with cpuonly specified, due to package metadata constraints. This is a known limitation with older pytorch versions. Update the test to: - Track if cudatoolkit is found instead of immediately failing - Use pytest.xfail to mark as expected failure for pytorch 1.12 - Update comments to clarify this is a known limitation with older versions - Keep the test to catch when this gets fixed

0937d11

18 days ago

by jezdez

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