Ethan Steinberg

Arrow has a very useful dictionary/categorical type (https://arrow.apache.org/docs/python/generated/pyarrow.dictionary.html). This data type has significant speed, memory and disk benefits over pa.string() when there are only a few unique text strings in...

Right now FEMR supports ontology expansion in both tabular and neural network featurization (https://github.com/som-shahlab/femr/blob/main/src/femr/featurizers/featurizers.py#L178 for tabular featurization and "hierarchical" for neural network featurization). It would be useful to enforce additional...

FEMR v1 had a very useful feature where it would normalize flowsheet values: https://github.com/som-shahlab/femr/blob/b8d7d25154166a82e293c11bd2c1e1ef9160c11b/tools/stanford/flowsheet_cleaner.py It would be good if someone can port this over to V2 to make flowsheets easier...

Your seed -> woodland coord function is drastically less efficient than it could be

4

A key part of your algorithm is decoding the seed to find an x and z coordinate for a woodland region. In other words, we have the equation: > seed...

[BUG]: pybind11's initialization of internals needs to be made more thread safe in the presence of free threading

2

### Required prerequisites - [X] Make sure you've read the [documentation](https://pybind11.readthedocs.io). Your issue may be addressed there. - [X] Search the [issue tracker](https://github.com/pybind/pybind11/issues) and [Discussions](https:/pybind/pybind11/discussions) to verify that this hasn't...