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Rebuild for numpy 2.0 #94
Rebuild for numpy 2.0 #94
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TL;DR: The way we build against numpy has changed as of numpy 2.0. This bot PR has updated the recipe to account for the changes (see below for details). The biggest change is that we no longer need to use the oldest available numpy version at build time in order to support old numpy version at runtime - numpy will by default use a compatible ABI for the oldest still-supported numpy versions. Additionally, we no longer need to use `{{ pin_compatible("numpy") }}` as a run requirement - this has been handled for more than two years now by a run-export on the numpy package itself. The migrator will therefore remove any occurrences of this. However, by default, building against numpy 2.0 will assume that the package is compatible with numpy 2.0, which is not necessarily the case. You should check that the upstream package explicitly supports numpy 2.0, otherwise you need to add a `- numpy <2.0dev0` run requirement until that happens (check numpy issue 26191 for an overview of the most important packages). ### To-Dos: * [ ] Match run-requirements for numpy (i.e. check upstream `pyproject.toml` or however the project specifies numpy compatibility) * If upstream is not yet compatible with numpy 2.0, add `numpy <2.0dev0` upper bound under `run:`. * If upstream is already compatible with numpy 2.0, nothing else should be necessary in most cases. * If upstream requires a minimum numpy version newer than 1.19, you can add `numpy >=x.y` under `run:`. * [ ] Remove any remaining occurrences of `{{ pin_compatible("numpy") }}` that the bot may have missed. PS. If the build does not compile anymore, this is almost certainly a sign that the upstream project is not yet ready for numpy 2.0; do not close this PR until a version compatible with numpy 2.0 has been released upstream and on this feedstock (in the meantime, you can keep the bot from reopening this PR in case of git conflicts by marking it as a draft).
…nda-forge-pinning 2024.06.27.03.50.52
Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
Needed for NumPy 2.0 support. xref: pybind/pybind11@705efcc
@conda-forge-admin , please re-render |
Hi! This is the friendly automated conda-forge-webservice. I tried to rerender for you, but it looks like there was nothing to do. This message was generated by GitHub actions workflow run https://github.com/conda-forge/xtensor-python-feedstock/actions/runs/9693637278. |
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Noted some changes to the pybind11
constraints to ensure that when building for NumPy 2, pybind11
version 2.12.0
or newer is used. Previous versions of pybind11
are incompatible with NumPy 2. So pybind11
needs to be 2.12.0
at least
xref: pybind/pybind11#5009
- cmake | ||
- make # [unix] | ||
host: | ||
- python | ||
- xtl >=0.7,<0.8 | ||
- xtensor >=0.25.0,<0.26 | ||
- pybind11 >=2.6.1,<3 | ||
- pybind11 >=2.12.0,<3 |
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This is done to make sure a NumPy 2 compatible pybind11
version is used (so 2.12.0+
)
@@ -21,7 +21,7 @@ requirements: | |||
- python # [build_platform != target_platform] | |||
- cross-python_{{ target_platform }} # [build_platform != target_platform] | |||
- numpy # [build_platform != target_platform] | |||
- pybind11 # [build_platform != target_platform] | |||
- pybind11 >=2.12.0,<3 # [build_platform != target_platform] |
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Also applied the same constraint in requirements/build
as it was unconstrained previously
Based on this upstream discussion ( xtensor-stack/xtensor-python#308 ), it sounds like Made a couple light tweaks above to make sure that a new enough Maybe someone from @conda-forge/xtensor-python could look this over? 🙂 |
@conda-forge-admin , please re-render |
Hi! This is the friendly automated conda-forge-webservice. I tried to rerender for you, but it looks like there was nothing to do. This message was generated by GitHub actions workflow run https://github.com/conda-forge/xtensor-python-feedstock/actions/runs/9695438073. |
@conda-forge-admin , please re-render |
…nda-forge-pinning 2024.08.05.15.28.08
Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
Thanks for working on this @jakirkham ! |
Thanks Sylvain! 🙏 |
This PR has been triggered in an effort to update numpy2.
Notes and instructions for merging this PR:
Please note that if you close this PR we presume that the feedstock has been rebuilt, so if you are going to perform the rebuild yourself don't close this PR until the your rebuild has been merged.
Here are some more details about this specific migrator:
If this PR was opened in error or needs to be updated please add the
bot-rerun
label to this PR. The bot will close this PR and schedule another one. If you do not have permissions to add this label, you can use the phrase@conda-forge-admin, please rerun bot
in a PR comment to have theconda-forge-admin
add it for you.This PR was created by the regro-cf-autotick-bot. The regro-cf-autotick-bot is a service to automatically track the dependency graph, migrate packages, and propose package version updates for conda-forge. Feel free to drop us a line if there are any issues! This PR was generated by - please use this URL for debugging.