Maybe I could release a separate Python package types-sqlite-utils-numpy which adds an over-ridden type definition that includes the numpy types?

Twitter conversation about how to add types to the .create_table(columns=) parameter: https://twitter.com/simonw/status/1408532867592818693

Anyone know how to write a mypy type definition for this?

{"id": int, "name": str, "image": bytes, "weight": float}

It's a dict where keys are strings and values are one of int/str/bytes/float (weird API design I know, but I designed this long before I was thinking about mypy)

Looks like this could work:

python def create_table( self, name, columns: Dict[str, Union[Type[int], Type[bytes], Type[str], Type[float]]], pk=None, foreign_keys=None, column_order=None, not_null=None, defaults=None, hash_id=None, extracts=None, ): Except... that method can optionally also accept numpy types if numpy is installed. I don't know if it's possible to dynamically change a signature based on an import, since mypy is a static type analyzer and doesn't ever execute the code.

Here's more about this problem: https://github.com/numpy/numpy/issues/15947

Test failed on 3.10 with numpy on macOS: sqlite_utils/__init__.py:1: in <module> 11 from .db import Database 12 sqlite_utils/db.py:48: in <module> 13 import numpy as np # type: ignore 14 ../../../hostedtoolcache/Python/3.10.0-beta.3/x64/lib/python3.10/site-packages/numpy/__init__.py:391: in <module> 15 raise RuntimeError(msg) 16 E RuntimeError: Polyfit sanity test emitted a warning, most likely due to using a buggy Accelerate backend. If you compiled yourself, more information is available at https://numpy.org/doc/stable/user/building.html#accelerated-blas-lapack-libraries Otherwise report this to the vendor that provided NumPy. 17 E RankWarning: Polyfit may be poorly conditioned 18 Error: Process completed with exit code 4.

Codecov Report

Merging #293 (ae0f46a) into main (747be60) will not change coverage. The diff coverage is n/a.

```diff @@ Coverage Diff @@

main #293 +/-

======================================= Coverage 96.03% 96.03%
======================================= Files 4 4
Lines 1994 1994
======================================= Hits 1915 1915
Misses 79 79
```

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