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Reconsidered data validation in Cascade (and also dataset type hierarchy)
Now arbitrary functions can be validated using special decorator and type annotations with different providers (potentially, now only pydantic, pandera is planned for pandas tables)
The same with new function pipelines introduced in #237. Validation there is implemented by default and will take effect if any type is annotated. User can turn this off using special flag in the decorator
The main points are: