Sure! One example of a situation where a cuckoo filter might be preferred over a bloom filter is when the application needs to support element deletion and counting in addition to fast set membership tests with low false positives. Cuckoo filters allow for efficient element deletion and counting, while bloom filters do not support element deletion and require more memory to implement counting.

Another example might be when the memory budget is limited and the application requires a high false positive rate. In this case, a cuckoo filter could achieve a lower space overhead than a bloom filter, while still providing low false positives.

Ultimately, the choice between a bloom filter and a cuckoo filter depends on the specific requirements of the application and the tradeoffs between space efficiency, false positive rate, and support for additional operations such as element deletion and counting.
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