deps: adds limits to numpy installs under 3.10 for dataproc #370
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tswast
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Jul 7, 2025
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👎 on this change. I suspect dataproc's problem isn't really because of db-dtypes incompatibility but because of older pandas + newer numpy not playing nicely.
I wouldn't want to prevent all 3.10 users from using the latest numpy.
Edit: Discussed offline. Numpy already doesn't support >= 2.3.0 on Python 3.10. While this change feels redundant in that case, it shouldn't do any harm.
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As noted in my internal chat comment. I am talking to the Dataproc team to see if there are alternatives that meet their needs but don't affect other users of this library. More to come. |
tswast
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Jul 8, 2025
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🤖 I have created a release *beep* *boop* --- ## [1.4.4](v1.4.3...v1.4.4) (2025-09-08) ### Dependencies * Adds limits to numpy installs under 3.10 for dataproc ([#370](#370)) ([6d79280](6d79280)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
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🤖 I have created a release *beep* *boop* --- ## [1.4.4](googleapis/python-db-dtypes-pandas@v1.4.3...v1.4.4) (2025-09-08) ### Dependencies * Adds limits to numpy installs under 3.10 for dataproc ([#370](googleapis/python-db-dtypes-pandas#370)) ([6d79280](googleapis/python-db-dtypes-pandas@6d79280)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
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The Google Dataproc team requested this change.
CONTEXT:
When installing
python-bigquery[pandas](which depends onpython-db-dtypes-pandas, which depends onnumpy) an issue arises becausedb-dtypesattempts to install a version ofnumpygreater than2.2.6. Due to requirements to reproduce the Dataproc environment, they cannot allow installs ofnumpygreater than2.2.6so they requested that we add an upper limit.