xmr-method

To update Python API methods without breaking domain contracts, modify free functions and accessor delegators simultaneously while preserving attributes and verifying decorator stacks. This ensures signature changes, dimension defaults, and mathematical behavior stay aligned across module exports.

The best way to wire new transform functions into an accessor is connecting the free function to the correct accessor location while applying the appropriate decorator stack. You must preserve attributes, enforce dimension defaults, and explicitly update module exports and test lists.

Fitting function updates fail tests after signature changes because free functions, accessor delegators, and test lists fall out of sync. Resolving this requires explicitly updating test lists, verifying decorator choices, and preserving attributes across the entire method chain.

Yes, you need to explicitly update module exports when adding vendor loaders to keep changes discoverable and testable. You must also update architecture checks, notebooks, and test lists to maintain alignment across free functions and accessor delegators.

Accessor delegator alignment for fitting functions works by keeping the delegator methods synchronized with their underlying free functions. This requires applying the correct decorator stack, preserving original attributes, respecting dimensional rules, and updating required test lists.

You can change dimension defaults on existing transforms without breaking exports by applying the correct decorator stack and preserving method attributes. You must simultaneously update accessor delegators, module exports, and architecture checks to maintain domain contract compliance.