This PR adapts the lambda lifter in LCNF to eta contract instead of
lambda lift if possible. This prevents the creation of a few hundred
unnecessary lambdas across the code base.
This PR moves the `Inhabited` instances in constant `DTreeMap` (and
related) queries, such as `Const.get!`, where the `Inhabited` instance
can be provided before proving a key.
This PR fixes a panic in `getEqnsFor?` when called on matchers generated
from match expressions in theorem types.
When a theorem's type contains a match expression (e.g., `theorem bar :
(match ... with ...) = 0`), the compiler generates a matcher like
`bar.match_1`. Calling `getEqnsFor?` on this matcher would panic with:
```
PANIC: duplicate normalized declaration name bar.match_1.eq_1 vs. _private...bar.match_1.eq_1
```
This also affected the `try?` tactic, which internally uses
`getEqnsFor?`.
We make `shouldGenerateEqnThms` return `false` for matchers, since their
equations are already generated separately by
`Lean.Meta.Match.MatchEqs`. This prevents the equation generation
machinery from attempting to create duplicate equation theorems.
Closes#11461Closes#10390🤖 Prepared with Claude Code
Co-authored-by: Claude <noreply@anthropic.com>
This PR fixes various typos across the codebase in documentation and
comments.
- `infered` → `inferred` (ParserCompiler.lean)
- `declartation` → `declaration` (Cleanup.lean)
- `certian` → `certain` (CasesInfo.lean)
- `wil` → `will` (Cache.lean)
- `the the` → `the` (multiple files - PrefixTree.lean, Sum/Basic.lean,
List/Nat/Perm.lean, Time.lean, Bounded.lean, Lake files)
- `to to` → `to` (MutualInductive.lean, simp_bubblesort_256.lean)
- Grammar improvements in Bounded.lean and Time.lean
All changes are to comments and documentation only - no functional
changes.
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Co-authored-by: Claude <noreply@anthropic.com>
This PR adds `+suggestions` support to `solve_by_elim`, following the
pattern established by `grind +suggestions` and `simp_all +suggestions`.
Gracefully handles invalid/nonexistent suggestions by filtering them out
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This PR adds `solve_by_elim` as a fallback in the `try?` tactic's simple
tactics. When `rfl` and `assumption` both fail but `solve_by_elim`
succeeds (e.g., for goals requiring hypothesis chaining or
backtracking), `try?` will now suggest `solve_by_elim`.
The structure is `first | (attempt_all | rfl | assumption) |
solve_by_elim`, so `solve_by_elim` only runs when the faster tactics
fail.
This is a prerequisite for removing the "first pass" `solve_by_elim`
from `apply?`. Currently `apply?` calls `solve_by_elim` twice: once
before library search, and once after each lemma application. The first
pass can be removed once `try?` includes `solve_by_elim`.
🤖 Prepared with Claude Code
---------
Co-authored-by: Claude <noreply@anthropic.com>
This PR removes the "first pass" behavior where `exact?` and `apply?`
would try `solve_by_elim` on the original goal before doing library
search. This simplifies the `librarySearch` API and focuses these
tactics on their primary purpose: finding library lemmas.
Users who want to find proofs using local hypotheses should use `try?`
instead, which now includes `solve_by_elim` in its pipeline (see
https://github.com/leanprover/lean4/pull/11462).
Changes:
- Removed first pass from `librarySearch`
- Simplified `tactic` parameter from `Bool → List MVarId → MetaM (List
MVarId)` to `List MVarId → MetaM (List MVarId)`
- Updated test expectations
🤖 Prepared with Claude Code
---------
Co-authored-by: Claude <noreply@anthropic.com>
This PR improves the error message when no library suggestions engine is
registered to recommend importing `Lean.LibrarySuggestions.Default` for
the built-in engine.
**Before:**
```
No library suggestions engine registered. (Note that Lean does not provide a default library suggestions engine, these must be provided by a downstream library, and configured using `set_library_suggestions`.)
```
**After:**
```
No library suggestions engine registered. (Add `import Lean.LibrarySuggestions.Default` to use Lean's built-in engine, or use `set_library_suggestions` to configure a custom one.)
```
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This PR adds recording functionality such that `shake` can more
precisely track whether an import should be preserved solely for its
`attribute` commands.
This PR adds the difference operation on `DTreeMap`/`TreeMap`/`TreeSet`
and proves several lemmas about it.
---------
Co-authored-by: Markus Himmel <markus@himmel-villmar.de>
The bench script expected no output on stdout from `compile.sh`, which
was not always the case. Now, it separates the compilation and size
measurement steps.
This PR slightly improves the types involved in creating boxed
declarations. Previously the type of
the vdecl used for the return was always `tobj` when returning a boxed
scalar. This is not the most
precise annotation we can give.
This PR modifies the error message for type synthesis failure for the
case where the type class in question is potentially derivable using a
`deriving` command. Also changes the error explanation for type class
instance synthesis failure with an illustration of this pattern.
## Example
```lean4
inductive MyColor where
| chartreuse | sienna | thistle
def forceColor (oc : Option MyColor) :=
oc.get!
```
Before this PR, this gives the potentially confusing impression that
Lean may have decided that `MyColor` is _not_ inhabited — people used to
Rust may be especially inclined towards this confusion.
```
failed to synthesize instance of type class
Inhabited MyColor
Hint: Type class instance resolution failures can be inspected with the `set_option trace.Meta.synthInstance true` command.
```
After this PR, a targeted hint suggests precisely the command that will
fix the issue:
```
error: failed to synthesize instance of type class
Inhabited MyColor
Hint: Adding the command `deriving instance Inhabited for MyColor` may allow Lean to derive the missing instance.
```
This PR lets recursive functions defined by well-founded recursion use a
different `fix` function when the termination measure is of type `Nat`.
This fix-point operator use structural recursion on “fuel”, initialized
by the given measure, and is thus reasonable to reduce, e.g. in `by
decide` proofs.
Extra provisions are in place that the fixpoint operator only starts
reducing when the fuel is fully known, to prevent “accidential” defeqs
when the remaining fuel for the recursive calls match the initial fuel
for that recursive argument.
To opt-out, the idiom `termination_by (n,0)` can be used.
We still use `@[irreducible]` as the default for such recursive
definitions, to avoid unexpected `defeq` lemmas. Making these functions
`@[semireducible]` by default showed performance regressions in lean.
When the measure is of type `Nat`, the system will accept an explicit
`@[semireducible]` without the usual warning.
Fixes#5234. Fixes: #11181.
This PR performs minor maintenance on the String API
- Rename `String.Pos.toCopy` to `String.Pos.copy` to adhere to the
naming convention
- Rename `String.Pos.extract` to `String.extract` to get sane dot
notation again
- Add `String.Slice.Pos.extract`
This PR reduces the memory consumption of the language server (the
watchdog process in particular). In Mathlib, it reduces memory
consumption by about 1GB.
It also fixes two bugs in the call hierarchy:
- When an open file had import errors (e.g. from a transitive build
failure), the call hierarchy would not display any usages in that file.
Now we use the reference information from the .ilean instead.
- When a command would not set a parent declaration (e.g. `#check`), the
result was filtered from the call hierarchy. Now we display it as
`[anonymous]` instead.
This PR documents the `grind_pattern` command for manually selecting
theorem instantiation patterns, including multi-patterns and the
constraint system (`=/=`, `=?=`, `size`, `depth`, `is_ground`,
`is_value`, `is_strict_value`, `gen`, `max_insts`, `guard`, `check`).
This PR implements support for **guards** in `grind_pattern`. The new
feature provides additional control over theorem instantiation. For
example, consider the following monotonicity theorem:
```lean
opaque f : Nat → Nat
theorem fMono : x ≤ y → f x ≤ f y := ...
```
We can use `grind_pattern` to instruct `grind` to instantiate the
theorem for every pair `f x` and `f y` occurring in the goal:
```lean
grind_pattern fMono => f x, f y
```
Then we can automatically prove the following simple example using
`grind`:
```lean
/--
trace: [grind.ematch.instance] fMono: f a ≤ b → f (f a) ≤ f b
[grind.ematch.instance] fMono: f a ≤ c → f (f a) ≤ f c
[grind.ematch.instance] fMono: f a ≤ a → f (f a) ≤ f a
[grind.ematch.instance] fMono: f a ≤ f (f a) → f (f a) ≤ f (f (f a))
[grind.ematch.instance] fMono: f a ≤ f a → f (f a) ≤ f (f a)
[grind.ematch.instance] fMono: f (f a) ≤ b → f (f (f a)) ≤ f b
[grind.ematch.instance] fMono: f (f a) ≤ c → f (f (f a)) ≤ f c
[grind.ematch.instance] fMono: f (f a) ≤ a → f (f (f a)) ≤ f a
[grind.ematch.instance] fMono: f (f a) ≤ f (f a) → f (f (f a)) ≤ f (f (f a))
[grind.ematch.instance] fMono: f (f a) ≤ f a → f (f (f a)) ≤ f (f a)
[grind.ematch.instance] fMono: a ≤ b → f a ≤ f b
[grind.ematch.instance] fMono: a ≤ c → f a ≤ f c
[grind.ematch.instance] fMono: a ≤ a → f a ≤ f a
[grind.ematch.instance] fMono: a ≤ f (f a) → f a ≤ f (f (f a))
[grind.ematch.instance] fMono: a ≤ f a → f a ≤ f (f a)
[grind.ematch.instance] fMono: c ≤ b → f c ≤ f b
[grind.ematch.instance] fMono: c ≤ c → f c ≤ f c
[grind.ematch.instance] fMono: c ≤ a → f c ≤ f a
[grind.ematch.instance] fMono: c ≤ f (f a) → f c ≤ f (f (f a))
[grind.ematch.instance] fMono: c ≤ f a → f c ≤ f (f a)
[grind.ematch.instance] fMono: b ≤ b → f b ≤ f b
[grind.ematch.instance] fMono: b ≤ c → f b ≤ f c
[grind.ematch.instance] fMono: b ≤ a → f b ≤ f a
[grind.ematch.instance] fMono: b ≤ f (f a) → f b ≤ f (f (f a))
[grind.ematch.instance] fMono: b ≤ f a → f b ≤ f (f a)
-/
#guard_msgs in
example : f b = f c → a ≤ f a → f (f a) ≤ f (f (f a)) := by
set_option trace.grind.ematch.instance true in
grind
```
However, many unnecessary theorem instantiations are generated.
With the new `guard` feature, we can instruct `grind` to instantiate the
theorem **only if** `x ≤ y` is already known to be true in the current
`grind` state:
```lean
grind_pattern fMono => f x, f y where
guard x ≤ y
x =/= y
```
If we run the example again, only three instances are generated:
```lean
/--
trace: [grind.ematch.instance] fMono: a ≤ f a → f a ≤ f (f a)
[grind.ematch.instance] fMono: f a ≤ f (f a) → f (f a) ≤ f (f (f a))
[grind.ematch.instance] fMono: a ≤ f (f a) → f a ≤ f (f (f a))
-/
#guard_msgs in
example : f b = f c → a ≤ f a → f (f a) ≤ f (f (f a)) := by
set_option trace.grind.ematch.instance true in
grind
```
Note that `guard` does **not** check whether the expression is
*implied*. It only checks whether the expression is *already known* to
be true in the current `grind` state. If this fact is eventually
learned, the theorem will be instantiated.
If you want `grind` to check whether the expression is implied, you
should use:
```lean
grind_pattern fMono => f x, f y where
check x ≤ y
x =/= y
```
Remark: we can use multiple `guard`/`check`s in a `grind_pattern`
command.
This PR adds per-module `.ilean` and `.olean` file size metrics, global
and per-module cycle counting, and adds back `lean --stat`-based
metrics. It also renames some `size/*` metrics to get rid of the name
`stdlib`.
This PR clarifies the bootstrap documentation to explain that to trigger
the automatic stage0 update mechanism, you should modify
`stage0/src/stdlib_flags.h` (not `src/stdlib_flags.h`). The existing
text was ambiguous about which file to modify.
🤖 Prepared with Claude Code
Co-authored-by: Claude <noreply@anthropic.com>
This PR reverts https://github.com/leanprover/lean4/pull/11396, which
changed `set_library_suggestions` to create an auxiliary definition
marked with `@[library_suggestions]`, rather than storing `Syntax`
directly in the environment extension.
It wasn't tested properly.
Co-authored-by: Claude <noreply@anthropic.com>
This PR fixes a kernel type mismatch error in grind's denominator
cleanup feature. When generating proofs involving inverse numerals (like
`2⁻¹`), the proof context is compacted to only include variables
actually used. This involves renaming variable indices - e.g., if
original indices were `{0: r, 1: 2⁻¹}` and only `2⁻¹` is used, it gets
renamed to index 0.
The bug was that polynomials were correctly renamed via `varRename`, but
the variable index `x` stored in `cancelDen` constraints was passed
directly to the proof without renaming, causing a mismatch between the
polynomial's variable references and the theorem's variable argument.
Added `ringVarDecls` to track ring variable indices that need renaming,
similar to how `ringPolyDecls` tracks polynomials. The `mkRingContext`
function now also renames these variable indices.
See zulip discussion at [#nightly-testing > Mathlib status updates @
💬](https://leanprover.zulipchat.com/#narrow/channel/428973-nightly-testing/topic/Mathlib.20status.20updates/near/560575295).
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This PR changes `set_library_suggestions` to create an auxiliary
definition marked with `@[library_suggestions]`, rather than storing
`Syntax` directly in the environment extension. This enables better
persistence and consistency of library suggestions across modules.
The change requires a stage0 update before tests can be restored. After
CI updates stage0, a follow-up PR will restore the test cases.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
This PR fixes an issue where `grind` would fail after multiple
`norm_cast`
calls with the error "unexpected metadata found during internalization".
The `norm_cast` tactic adds mdata nodes to expressions, and when called
multiple times it creates nested mdata. The `eraseIrrelevantMData`
preprocessing function was using `.continue e` when stripping mdata,
which causes `Core.transform` to reconstruct the mdata node around the
visited children. By changing to `.visit e`, the inner expression is
passed back to `pre` for another round of processing, allowing all
nested mdata layers to be stripped.
Closes#11411🤖 Prepared with Claude Code
Co-authored-by: Claude <noreply@anthropic.com>
This PR sorts the declarations fed into ElimDeadBranches in increasing
size. This can improve performance when we are dealing with a lot of
iterations.
The motivation for this change is as follows. Currently the algorithm
for doing one step of abstract interpretation is:
```
for decl in scc do
interpDecl
if summaryChanged decl then
return true
return false
```
whenever we return true we run another step. Now suppose we are in a
situation where we have an SCC with one big decl in the front and then
`n` small ones afterwards. For each time that the small ones change
their summary, we will re-run analysis of the big one in the front.
Currently the ordering is basically at "random" based on how other
compilers inject things into the SCC. This change ensures the behavior
is consistent and at least somewhat intelligent. By putting the small
declarations first, whenever we trigger a rerun of the loop we bias
analyzing the small declarations first, thus decreasing run time.
Note that this change does not have much effect on the current pipeline
because: We usually construct the SCCs in a way such that small ones
happen to be in front anyways. However, with upcomping changes on
specialization this is about to change.
This PR implements the following `grind_pattern` constraints:
```lean
grind_pattern fax => f x where
depth x < 2
grind_pattern fax => f x where
is_ground x
grind_pattern fax => f x where
size x < 5
grind_pattern fax => f x where
gen < 2
grind_pattern fax => f x where
max_insts < 4
grind_pattern gax => g as where
as =?= _ :: _
```