tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2040443750
One other problem that causes additional failures in this suite is that in
the test environment we first install test environment dependencies (e.g.,
tensorflow), then install the
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038404492
> the fact that old version of pydantic gets installed due to --pre flag may
or may not be a factor.
that _is_ the factor. The pydantic-2.0a4 distribution has the following:
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038213168
The hypothesis plugin might be provided by hypothesis itself, and we might
need it for tests that use hypothesis.
But looks like Pydantic 2 doesn't work with hypothesis:
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038186835
https://stackoverflow.com/questions/71394400/how-to-block-the-hypothesis-pytest-plugin
has some discussion how to disable it
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tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038183904
even though pip selects a bizzare version for pydantic, pydantic 2, this
pydantic-hypothesis plugin seems broken
`from pydantic import _hypothesis_plugin` fails, the more
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038144463
<
- pydantic [required: <3, installed: 2.0a4]
this seems to be an incorrect installer behavior. 2.0a4 shouln't be
installed under these constraints.
Actually I
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038142141
from pipdeptree:
```
* google-cloud-aiplatform==1.46.0
- proto-plus [required: >=1.22.0,<2.0.0dev, installed: 1.24.0.dev0]
- pydantic [required: <3, installed:
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2038121140
Beam test infra installs pre-released dependencies to detect possible issues
ahead of releases. The comand:
```
pip install --pre "tensorflow_transform>=1.13.0,<1.14.0"
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2037998636
Not sure how pydantic comes in the picture here yet, but for
'pydantic._hypothesis_plugin' to be available, it seems that we need to have
1.0.0
tvalentyn commented on issue #30852:
URL: https://github.com/apache/beam/issues/30852#issuecomment-2037827468
Sample error:
https://github.com/apache/beam/actions/runs/8548288262/job/23421776246?pr=30843
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