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numpy: add new recipe #20283
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numpy: add new recipe #20283
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Hooks produced the following warnings for commit a2d26a0numpy/1.26.0@#7cdc773a541ba986486337c00040bdca
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Hooks produced the following warnings for commit 65fd909numpy/1.26.4@#e0487097eae9afead28e663da5e7ad76
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Hooks produced the following warnings for commit f19f86dnumpy/1.26.4@#61dd2cf31315975cdd901cf38ac289de
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Hooks produced the following warnings for commit 0e99851numpy/1.26.4@#61dd2cf31315975cdd901cf38ac289de
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Conan 2 error is a version conflict, I can put out the necessary PR(s) to fix. Conan 1 error seems to only happen on GCC 9 and 10, but not 11, not quite sure why yet but at least I can reproduce it locally. |
Little bit of progress: Version range was fixable by just updating to the maintained patch version of cpython (related, maybe we should use version ranges for that? anyways...). The issue that I'm running into on Windows is that it's looking for
All in all I think it's (mostly) a cpython package issue, though removing the Regarding the Conan 2 failure: No clue why it thinks we're raising |
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Added a workaround for a GCC bug (see here: numpy/numpy#16970), I've tested it locally but it now all legacy GCC versions get skipped: numpy itself requires 8.4+, and cpython 3.12+ doesn't work with GCC 9 specifically. |
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@RubenRBS, any idea why the v2 pipeline is failing? As far as I can tell no |
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@valgur BTW I believe this should work on all platforms, in case you wanted to add it to your new recipe repo. I've at least tested locally with Windows/VS2022/x64/Release + Linux/GCC(several)/x64/Release + Mac/apple-clang(15)/armv8/Release. |
Conan v1 pipeline ❌Failure in build 18 (
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability. Conan v2 pipeline ✔️
All green in build 18 (
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Specify library name and version: numpy/1.26.4