update changelog, bump version

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sneakers-the-rat 2024-08-12 21:14:39 -07:00
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## 1.*
### 1.3.1 - 24-08-12 - Allow arbitrary dtypes, pydantic models as dtypes
Previously we would only allow dtypes if we knew for sure that there was some
python base type to generate a schema with.
That seems overly restrictive, so relax the requirements to allow
any type to be a dtype. If there are problems with serialization (we assume there will)
or handling the object in a given array framework, we leave that up to the person
who declared the model to handle :). Let people break things and have fun!
Also support the ability to use a pydantic model as the inner type, which works
as expected because pydantic already knows how to generate a schema from its own models.
Only one substantial change, and that is a `get_object_dtype` method which
interfaces can override if there is some fancy way they have of getting
types/items from an object array.
### 1.3.0 - 24-08-05 - Better string dtype handling
API Changes:

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[project]
name = "numpydantic"
version = "1.3.0"
version = "1.3.1"
description = "Type and shape validation and serialization for numpy arrays in pydantic models"
authors = [
{name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},