This PR adds support for beta reduction in the `grind` tactic. `grind`
can now solve goals such as
```lean
example (f : Nat → Nat) : f = (fun x : Nat => x + 5) → f 2 > 5 := by
grind
```
Tests using `logInfo` were taking an additional two seconds on my
machine. This is a performance issue with the old code generator, where
we spend all this time specializing the logging functions for `GoalM`. I
have not checked whether the new code generator is also affected by this
performance issue.
Here is a small example that exposes the issue:
```lean
import Lean
set_option profiler true
open Lean Meta Grind in
def test (e : Expr): GoalM Unit := do
logInfo e
```
cc @zwarich
This PR introduces support for user-defined fallback code in the `grind`
tactic. The fallback code can be utilized to inspect the state of
failing `grind` subgoals and/or invoke user-defined automation. Users
can now write `grind on_failure <code>`, where `<code>` should have the
type `GoalM Unit`. See the modified tests in this PR for examples.