Comments (4)
Note: In cibuildwheel, regardless of what the current documentation seems to claim, MACOSX_DEPLOYMENT_TARGET
is not set automatically, and it generally always should be set by hand.
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Thanks for the suggestion, I wasn't aware of that env variable. As a non-mac user I wasn't sure how to control the compat level and the reason for the different wheels on the current version on pypi was ci env differences (azure pipelines vs travis). I agree we should do this as I want to make sure we offer widely compatible wheels for as many platforms as we can for this (the nightly rustc requirement is difficult for some users unfamiliar with the rust ecosystem). I'll push up a pr tomorrow to experiment with setting that env variable in the cibuildwheel environment to see if I can get it to build wheels targeting 10.9.
from rustworkx.
Ok, I've pushed up a PR (#63) to fix this. I also pushed up test commit to manually trigger the macOS wheel builds to test this. Based on the output of the ci job it looks like it's working:
If you want to test the wheels built by the job are hosted here: https://dev.azure.com/qiskit-ci/retworkx/_build/results?buildId=11655&view=artifacts&type=publishedArtifacts (there is a download icon that will appear when you hover your mouse over the drop line, the azure pipelines ui leaves something to be desired) if you want to verify that these work on an older macOS version. Once the PR merges I will soon push out a 0.3.4 release to get the updated wheels on pypi.
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Just wanted to leave a note here, the 0.3.4 release is up on pypi now: https://pypi.org/project/retworkx/0.3.4/#files and the macOS wheels were built with a 10.9 target so local compilation should no longer be required to install the package on older versions of macOS.
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Related Issues (20)
- Add different greedy strategies for node coloring
- Support for "long" attribute type in GraphML HOT 2
- Implementation of Louvain Algorithm HOT 4
- Update PyO3 to version 0.21.x
- Implement Layout Algorithms targeting Very Large Graphs HOT 3
- Allow single node indices in `TopologicalSorter.done`
- Version of `TopologicalSorter` without error checking
- Implementation of Community Detection via Semi-Synchronous Label Propagation Algorithms HOT 2
- Move `lexicographical_topological_sort()` functionality to rustworkx-core HOT 2
- Move `collect_bicolor_runs()` functionality to rustworkx-core HOT 2
- Move `layers` functionality to rustworkx-core HOT 1
- Move dag longest path functions to rustworkx-core HOT 2
- rx.digraph_find_cycle() does not find the cycle in a graph HOT 7
- Improve the performance of the Katz Centrality computation.
- Weighted betweenness centrality HOT 1
- mpl_draw requires all keyword arguments to be specified to pass mypy HOT 3
- "single_source_all_shortest_paths" or "all_pairs_all_shortest_paths" function call
- QUESTION: are methods like dijkstra_shortest_path_lengths sorted? HOT 1
- Move `collect_runs()` functionality to rustworkx-core HOT 3
- SemVer HOT 2
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