Changelog¶

1.*¶

1.2.3 - 24-07-31 - Vendor `nptyping`¶

nptyping vendored into numpydantic.vendor.nptyping - nptyping is no longer maintained, and pins numpy<2. It also has many obnoxious warnings and we have to monkeypatch it so it performs halfway decently. Since we are en-route to deprecating usage of nptyping anyway, in the meantime we have just vendored it in (it is MIT licensed, included) so that we can make those changes ourselves and have to patch less of it. Currently the whole package is vendored with modifications, but will be whittled away until we have replaced it with updated type specification system :)

Bugfix:

#2 - Support numpy>=2
Remove deprecated numpy dtypes

CI:

Add windows and mac tests
Add testing with numpy>=2 and <2

DevOps:

Make a tox file for local testing, not used in CI.

Tidying:

Remove monkeypatch module! we don’t need it anymore! everything has either been upstreamed or vendored.

1.2.2 - 24-07-31¶

Add datetime map to numpy’s :class:numpy.datetime64 type

1.2.1 - 24-06-27¶

Fix a minor bug where DtypeError would not cause pydantic to throw a pydantic.ValidationError because custom validator functions need to raise either AssertionError or ValueError - made DtypeError also inherit from ValueError because that is also technically true.

1.2.0 - 24-06-13 - Shape ranges¶

Add ability to specify shapes as ranges - see shape ranges

1.1.0 - 24-05-24 - Instance Checking¶

https://github.com/p2p-ld/numpydantic/pull/1

Features:

Add __instancecheck__ method to NDArrayMeta to support isinstance() validation
Add finer grained errors and parent classes for validation exceptions
Add fast matching mode to Interface.match() that returns the first match without checking for duplicate matches