This PR changes the terminology used from "premise selection" to
"library suggestions". This will be more understandable to users (we
don't assume anyone is familiar with the premise selection literature),
and avoids a conflict with the existing use of "premise" in Lean
terminology (e.g. "major premise" in induction, as well as generally the
synonym for "hypothesis"/"argument").
This PR adds support for `grind +premises`, calling the currently
configured premise selection algorithm and including the results as
parameters to `grind`. (Recall that there is not currently a default
premise selector provided by Lean4: you need a downstream premise
selector to make use of this.)
This PR makes minor changes to the MePo premise selection algorithm.
I'm increasingly believing that MePo will not work well in Lean; I've
tried a few things without success. Alistair Geesing's thesis from 2023
had similar conclusions.
My intention is to reach the point we can properly benchmark premise
selection algorithms before doing any more work here.
This PR adds some helper functions for the premise selection API, to
assist implementers.
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Co-authored-by: Thomas Zhu <thomas.zhu.sh@hotmail.com>
This PR adds a simple implementation of MePo, from "Lightweight
relevance filtering for machine-generated resolution problems" by Meng
and Paulson.
This needs tuning, but is already useful as a baseline or test case.
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Co-authored-by: Thomas Zhu <thomas.zhu.sh@hotmail.com>
