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Design
Why do this?
We want to bring the tidyness of modeling data with pydantic to the universe of software that uses arrays - particularly formats and packages that need to be very particular about what kind of arrays they are able to handle or match a specific schema.
Challenges
The Python type annotation system is weird and not like the rest of Python! (at least until PEP 0649 gets mainlined). Similarly, Pydantic 2's core_schema system is wonderful but still has a few mysteries lurking under the documented surface. This package does the work of plugging them in together to make some kind of type validation frankenstein.
The first problem is that type annotations are evaluated statically by python, mypy,
etc. This means you can't use typical python syntax for declaring types - it has to
be present at the time __new__ is called, rather than __init__.
- pydantic schema
- validation
- serialization
- lazy loading
- compression