This PR adds the `Try.Config.merge` flag (`true` by default) to the
`try?` tactic. When set to `true`, `try?` compresses suggestions such
as:
```lean
· induction xs, ys using bla.induct
· grind only [List.length_reverse]
· grind only [bla]
```
into:
```lean
induction xs, ys using bla.induct <;> grind only [List.length_reverse, bla]
```
This PR also ensures `try?` does not generate suggestions that mixes
`grind` and `grind only`, or `simp` and `simp only` tactics.
This PR also adds the `try? +harder` option (previously called `lib`),
but it has not been fully implemented yet.
This PR adds new configuration options to `try?`.
- `try? -only` omits `simp only` and `grind only` suggestions
- `try? +missing` enables partial solutions where some subgoals are
"solved" using `sorry`, and must be manually proved by the user.
- `try? (max:=<num>)` sets the maximum number of suggestions produced
(default is 8).
This PR adds support for more complex suggestions in `try?`. Example:
```lean
example (as : List α) (a : α) : concat as a = as ++ [a] := by
try?
```
suggestion
```
Try this: · induction as, a using concat.induct
· rfl
· simp_all
```
This PR adds the `try?` tactic. This is the first draft, but it can
already solve examples such as:
```lean
example (e : Expr) : e.simplify.eval σ = e.eval σ := by
try?
```
in `grind_constProp.lean`. In the example above, it suggests:
```lean
induction e using Expr.simplify.induct <;> grind?
```
In the same test file, we have
```lean
example (σ₁ σ₂ : State) : σ₁.join σ₂ ≼ σ₂ := by
try?
```
and the following suggestion is produced
```lean
induction σ₁, σ₂ using State.join.induct <;> grind?
```