This PR makes the eager lambda lifting heuristic more predictable by
blocking it from lifting from
any kind of inlineable function, not just `@[inline]`. It also adapts
the doc-string to describe
what is actually going on.
This PR defines `String.Slice.replace` and redefines `String.replace` to
use the `Slice` version.
The new implementation is generic in the pattern, so it supports things
like `"education".replace isVowel "☃!" = "☃!d☃!c☃!t☃!☃!n"`. Since it
uses the `ForwardSearcher` infrastructure, `String` patterns are
searched using KMP, unlike the previous implementation which had
quadratic runtime. As a side effect, the behavior when replacing an
empty string now matches that of most other programming languages,
namely `"abc".replace "" "k" = "kakbkck"`.
This PR adds support for specifying anchors to restrict the search space
in `grind` when using `grind only`. Anchors can limit which case splits
are performed and which local lemmas are instantiated.
This PR adds the `set_config` tactic for setting `grind` configuration
options. It uses the same syntax used for setting configuration options
in the `grind` main tactic.
This PR tries to preserve names of pattern variables in match
alternatives in `decreasing_by`, by telescoping into the concrete
alternative rather than the type of the matcher's alt. Fixes#10976.
This PR adds the basic infrastructure to perform termination proofs
about `String.ValidPos` and `String.Slice.Pos`.
We choose approach where the intended way to do termination arguments is
to argue about the position itself rather than some projection of it
like `remainingBytes`.
The types `String.ValidPos` and `String.Slice.Pos` are equipped with a
`WellFoundedRelation` instance given by the greater-than relation. This
means that if a function takes a position `p` and performs a recursive
call on `q`, then the decreasing obligation will be `p < q`. This works
well in the common case where `q` is `p.next h`, in which case the goal
`p < p.next h` is solved by the simplifier.
For stepping through a string backwards, we introduce a type synonym
with a `WellFoundedRelation` instance given by the less-than relation.
This means that if a function takes a position `p` and performs a
recursive call on `q` and specifies `termination_by p.down`, then the
decreasing obligation will be `q < p`. This works well in the case where
`q` is `p.prev h`, in which case the goal `p.prev h < p` is solved by
the simplifier.
For termination arguments invoving multiple strings, the lower-level
primitive `p.remainingBytes` (landing in `Nat`) is also available.
In a future PR, we will additionally provide the necessary typeclasses
instances to register `String.ValidPos` and `String.Slice.Pos` with
`grind` to make complex termination arguments more convenient in user
code.
This PR performs more widening in ElimDeadBranches in an attempt to
improve performance in situations with a lot of local precision.
While this is not enough to make the compilation instant it pushes
compilation time from 12s to 3s for the example in #10857 and barely
introduces regressions so it seems like a good first step in this
direction.
Closes: #10857
This PR implements the following `grind` improvements:
1. `set_option` can now be used to set `grind` configuration options in
the interactive mode.
2. Fixes a bug in the repeated theorem instantiation detection.
3. Adds the macro `use [...]` as a shorthand for `instantiate only
[...]`.
This PR adds the combinator ` · t_1 ... t_n` to the `grind` interactive
mode. The `finish?` tactic now generates scripts using this combinator
to conform to Mathlib coding standards. The new format is also more
compact. Example:
```lean
/--
info: Try this:
[apply] ⏎
instantiate only [= mem_indices_of_mem, insert, = getElem_def]
instantiate only [= getElem?_neg, = getElem?_pos]
cases #f590
· cases #ffdf
· instantiate only
instantiate only [= Array.getElem_set]
· instantiate only
instantiate only [size, = HashMap.mem_insert, = HashMap.getElem_insert, = Array.getElem_push]
· instantiate only [= mem_indices_of_mem, = getElem_def]
instantiate only [usr getElem_indices_lt]
instantiate only [size]
cases #ffdf
· instantiate only [=_ WF]
instantiate only [= getElem?_neg, = getElem?_pos, = Array.getElem_set]
instantiate only [WF']
· instantiate only
instantiate only [= HashMap.mem_insert, = HashMap.getElem_insert, = Array.getElem_push]
-/
#guard_msgs in
example (m : IndexMap α β) (a a' : α) (b : β) (h : a' ∈ m.insert a b) :
(m.insert a b)[a'] = if h' : a' == a then b else m[a'] := by
grind => finish?
```
This PR ensures that model-based theory combination in `grind cutsat`
considers nonlinear terms. Nonlinear multiplications such as `x * y` are
treated as uninterpreted symbols in `cutsat`.
Closes#10885
This PR adds support for scientific literals for `Rat` in `grind`.
`grind` does not yet add support for this kind of literal in arbitrary
fields.
closes#10489
This PR fixes a bug in the equality propagation procedure in
`grind.order`. Specifically, it affects the procedure that asserts
equalities in the `grind` core state that are implied by (ring)
inequalities in the `grind.order` module.
closes#10622
This is a guard against #10705; if a kernel error is raised when the
return value of this function is eventually checked, it is often
silenced downstream, making it hard to spot the failure.
If we panic here via `assert!`, then the diagnostic cannot be missed.
This PR adds the `mbtc` tactic to the `grind` interactive mode. It
implements model-based theory combination. It also ensures `finish?` is
capable of generating it.
This PR ensures that solver propagation steps are necessary in the
generated tactic script to close the goal.
It produces more compact proof scripts, but this is not just an
optimization, if we include an unnecessary step, we may fail to replay
the generated script when `cases` steps are pruned using
non-chronological backtracking (NCB). For example, when executing
`finish?`, we may have performed a `cases #<anchor>` step that enabled
`ring` to propagate a new fact. If this fact is not used in the final
proof, and the corresponding `cases #<anchor>` step is pruned by NCB,
the `ring` step will fail during replay.
This PR ensures that `finish?` produces partial tactic scripts
containing `sorry`s.
We may add an option to disable this feature in the future.
It is enabled by default because it provides a useful way to debug
`grind` failures.
This PR topologically sorts abstracted vars in
`Meta.Closure.mkValueTypeClosure` if MVars are being abstracted.
Fixes#10705
---------
Co-authored-by: Eric Wieser <efw@google.com>
This PR fixes another instance of the “default parameter value in
constructor” footgun, which was affecting the `cases` tactic in the
`grind` interactive mode.
This PR fixes name mangling to be unambiguous / injective by adding `00`
for disambiguation where necessary. Additionally, the inverse function,
`Lean.Name.unmangle` has been added which can be used to unmangle a
mangled identifier. This unmangler has been added to demonstrate the
injectivity but also to allow unmangling identifiers e.g. for debugging
purposes.
Closes#10724
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 adds a `+lax` configuration option for `grind`, causing it to
ignore parameters referring to non-existent theorems, or to theorems for
which we can't generate a pattern. This allows throwing large sets of
theorems (e.g. from a premise selection enginre) into `grind` to see
what happens.
This PR implements the `have <ident>? : <prop>` tactic for the `grind`
interactive mode. The proposition is proved using the default `grind`
search strategy. This tactic is also useful for inspecting or querying
the current `grind` state.
This PR implements parameter optimization for the generated
`instantiate` tactics produced by `finish?`.
We use a simple parameter optimizer that takes two sets as input: the
lower and upper bounds.
The lower bound consists of the theorems actually used in the proof
term, while the upper bound includes all the theorems instantiated in a
particular theorem instantiation step.
The lower bound is often sufficient to replay the proof, but in some
cases, additional theorems must be included because a theorem
instantiation may contribute to the proof by providing terms and many
not be present in the final proof term.
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 optimizes two `String` proofs and makes sure that
`MkIffOfInductiveProp` does not import `Lean.Elab.Tactic`, which
previously pushed it to the very end of the import graph.
This PR splits some low-hanging fruit out of `Init.Data.String.Basic`:
basic material about `String.Pos.Raw`, `String.Substrig`, and
`String.Iterator`.
More splitting required and the remaining material is quite unorganized,
but it's a start.
