Checklist

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Summary

@st.cache_data(hash_funcs=...) can be used to support hashing non-natively supported types as cache keys. However, this requires passing the hash_funcs parameter to every cache decorator.

I would like to be able to implement a method on my own types that Streamlit calls to make that type hashable.

This is technically already possible with __reduce__, but that can have unintended consequences: #6290 (comment)

Alternatively, I would like to be able to register my type once with a custom hashing function, by calling a function early during startup of the application, or by specifying it in a config file.

Why?

I use a (Pydantic) helper class throughout my Streamlit application that I would like to be able to hash to make intermediate functions cacheable.

How?

No response

Additional Context

A similar issue (#6290) was fixed by #6502, but this solution is quite verbose if you have many functions that receive your custom type.