The settings configuration for the evaluation.
The feature being evaluated.
The campaign associated with the feature.
The user context for evaluation.
A map of evaluated features.
A map of MEG group winner campaigns.
The storage service for persistence.
The decision object that will be updated based on the evaluation.
A promise that resolves to a tuple containing the result of the pre-segmentation and the whitelisted object, if any.
Evaluates the rules for a given campaign and feature based on the provided context. This function checks for whitelisting and pre-segmentation conditions, and if applicable, sends an impression for the variation shown.