`rewrite` tactic improvements
- Add support for `auto_param` and `opt_param`
- Order new goals using the same strategies available for `apply`
- Allow user to set configuration object in interactive mode.
@Armael This commit should address the issue you raised about the order
of new goals in the `rewrite` tactic.
See new test tests/lean/run/rw1.lean for examples.
@dselsam `simp` now supports lemmas containing metavariables.
The metavariables are automatically converted into tmp metavars.
The new test contains a few examples.
@dselsam The method `try_user_congr` was leaking a temporary
meta-variable into the formula. The problem in the congruence lemma
```
dif_ctx_simp_congr :
∀ {α : Sort u_1} {b c : Prop} [dec_b : decidable b] {x : b → α} {u : c → α} {y : ¬b → α} {v : ¬c → α}
(h_c : b ↔ c),
(∀ (h : c), x (h_c.mpr h) = u h) →
(∀ (h : ¬c), y ((not_iff_not_of_iff h_c).mpr h) = v h) → dite b x y = dite c u v
```
when the hypothesis `(∀ (h : c), x (h_c.mpr h) = u h)` is processed,
`h_c` is still unassigned. `h_c` was being assigned in a second
loop (the one that I deleted). Do you see any reason for having this
second pass? I think it is an optimization, we can skip the potentially
expensive
```
expr hyp = finalize(m_ctx, rel, r_congr_hyp).get_proof();
expr pf = local_factory.mk_lambda(hyp);
```
if the expression has not been simplified.
Anyway, I removed this code and merged both loops.
I don't think it should impact performance since we barely use custom
congruence lemmas.
The kernel support opportunistic hash consing.
At commit e63c79c81e we have enabled this feature during
tactic execution, and fixed performance problems in the Certigrad
project (by @dselsam).
However, this change produced unexpected performance problems in
other Lean files (example: @JasonGross example at issue #1646 was 10x
slower after the commit above).
After analyzing the performance logs, I conjecture the hash_consing
may produce a substantial performance overhead if the following property
doesn't hold.
- Let `cache` be the hash_consing cache, then for each `e` in `cache`,
all children of `e` are also in the `cache`.
If the property above is not true, we may have problem whenever
we add an expression `t` containing multiple copies of a big term `T`.
For example, support we insert `f T_1 T_2`, where `T_1` and `T_2` are
structurally equal but are not pointer equal. Then, if we try to insert
`f T_2 T_1`, we will have to compare the huge terms twice, and the
comparison will be proportional to the size of `T_i`.
This commit tries to address this performance problem by enforcing
the property above. This is not a perfect solution since we may keep
trying to create terms using big terms created before hash_consing
has been enabled. After this commit, the example at issue #1646
is only 1.4x slower. It didn't impact the standard library
compilation (memory nor time).
I'm using this commit is a temporary workaround. We should probably
remove the hash_consing support from the kernel, and implement it
in key places. For example, for Certigrad, we can control memory
consumption by using hash_consing only during `simp`,
`instantiate_mvars` and `elaborator` finalization procedure.
@gebner @kha Any ideas/suggestions for this hash_consing issue?
