This PR uses the `mkCongrSimpForConst?` API in `simp` to reduce the
number of times the same congruence lemma is generated. Before this PR,
`grind` would spend `1.5`s creating congruence theorems during
normalization in the `grind_bitvec2.lean` benchmark. It now spends
`0.6`s. This PR should make an even bigger difference after we merge
#9300.
This PR replaces the `reduceCtorEq` simproc used in `grind` by a much
more efficient one. The default one use in `simp` is just overhead
because the `grind` normalizer is already normalizing arithmetic.
In a separate PR, we will push performance improvements to the default
`reduceCtorEq`.
This PR optimizes support for `Decidable` instances in `grind`. Because
`Decidable` is a subsingleton, the canonicalizer no longer wastes time
normalizing such instances, a significant performance bottleneck in
benchmarks like `grind_bitvec2.lean`. In addition, the
congruence-closure module now handles `Decidable` instances, and can
solve examples such as:
```lean
example (p q : Prop) (h₁ : Decidable p) (h₂ : Decidable (p ∧ q)) : (p ↔ q) → h₁ ≍ h₂ := by
grind
```
This PR makes `isDefEq` detect more stuck definitional equalities
involving smart unfoldings. Specifically, if `t =?= defn ?m` and `defn`
matches on its argument, then this equality is stuck on `?m`. Prior to
this change, we would not see this dependency and simply return `false`.
Fixes#8766.
Co-authored-by: Kyle Miller <kmill31415@gmail.com>
This PR improves the `congr` tactic so that it can handle function
applications with fewer arguments than the arity of the head function.
This also fixes a bug where `congr` could not make progress with
`Set`-valued functions in Mathlib, since `Set` was being unfolded and
making such functions have an apparently higher arity.
This addresses issue #2128 for the `congr` tactic, but not `simp` and
others.
This PR migrates usages of `Std.Range` to the new polymorphic ranges.
This PR unfortunately increases the transitive imports for
frequently-used parts of `Init` because the ranges now rely on iterators
in order to provide their functionality for types other than `Nat`.
However, iteration over ranges in compiled code is as efficient as
before in the examples I checked. This is because of a special
`IteratorLoop` implementation provided in the PR for this purpose.
There were two issues that were uncovered during migration:
* In `IndPredBelow.lean`, migrating the last remaining range causes
`compilerTest1.lean` to break. I have minimized the issue and came to
the conclusion it's a compiler bug. Therefore, I have not replaced said
old range usage yet (see #9186).
* In `BRecOn.lean`, we are publicly importing the ranges. Making this
import private should theoretically work, but there seems to be a
problem with the module system, causing the build to panic later in
`Init.Data.Grind.Poly` (see #9185).
* In `FuzzyMatching.lean`, inlining fails with the new ranges, which
would have led to significant slowdown. Therefore, I have not migrated
this file either.
This PR improves the startup time for `grind ring` by generating the
required type classes on demand. This optimization is particularly
relevant for files that make hundreds of calls to `grind`, such as
`tests/lean/run/grind_bitvec2.lean`. For example, before this change,
`grind` spent 6.87 seconds synthesizing type classes, compared to 3.92
seconds after this PR.
This PR extends the `Eq` simproc used in `grind`. It covers more cases
now. It also adds 3 reducible declarations to the list of declarations
to unfold.
This PR implements `exists` normalization using a simproc instead of
rewriting rules in grind. This is the first part of the PR, after update
stage0, we must remove the normalization theorems.
This PR implements `forall` normalization using a simproc instead of
rewriting rules in `grind`. This is the first part of the PR, after
update stage0, we must remove the normalization theorems.
This PR tries to improve the E-matching pattern inference for `grind`.
That said, we still need better tools for annotating and maintaining
`grind` annotations in libraries.
closes#9125
This PR resolves a defeq diamond, which caused a problem in Mathlib:
```
import Mathlib
example (R : Type) [I : Ring R] :
@AddCommGroup.toGrindIntModule R (@Ring.toAddCommGroup R I) =
@Lean.Grind.Ring.instIntModule R (@Ring.toGrindRing R I) := rfl -- fails
```
This PR fixes the syntax of `grind` modifiers to use `patternIgnore` for
cases where both unicode and ascii variants are matched. This fixes an
issue where several variants of grind syntax weren't accepted (e.g.
`@[grind ← gen]`). Additionally, this reduces the chance that we get
another syntax matching bootstrap hell.
This PR generalizes the `a^(m+n)` grind normalizer to any semirings.
Example:
```
variable [Field R]
example (M : R) (h₀ : M ≠ 0) {n : Nat} (hn : n > 0) : M ^ n / M = M ^ (n - 1) := by
cases n <;> grind
```
This PR improves the “expected type mismatch” error message by omitting
the type's types when they are defeq, and putting them into separate
lines when not.
I found it rather tediuos to parse the error message when the expected
type is long, because I had to find the `:` in the middle of a large
expression somewhere. Also, when both are of sort `Prop` or `Type` it
doesn't add much value to print the sort (and it’s only one hover away
anyways).
This PR enables transforming nondependent `let`s into `have`s in a
number of contexts: the bodies of nonrecursive definitions, equation
lemmas, smart unfolding definitions, and types of theorems. A motivation
for this change is that when zeta reduction is disabled, `simp` can only
effectively rewrite `have` expressions (e.g. `split` uses `simp` with
zeta reduction disabled), and so we cache the nondependence calculations
by transforming `let`s to `have`s. The transformation can be disabled
using `set_option cleanup.letToHave false`.
Uses `Meta.letToHave`, introduced in #8954.
This PR uses the commutative ring module to normalize nonlinear
polynomials in `grind cutsat`. Examples:
```lean
example (a b : Nat) (h₁ : a + 1 ≠ a * b * a) (h₂ : a * a * b ≤ a + 1) : b * a^2 < a + 1 := by
grind
example (a b c : Int) (h₁ : a + 1 + c = b * a) (h₂ : c + 2*b*a = 0) : 6 * a * b - 2 * a ≤ 2 := by
grind
```
This PR implements support for the type class `LawfulEqCmp`. Examples:
```lean
example (a b c : Vector (List Nat) n)
: b = c → a.compareLex (List.compareLex compare) b = o → o = .eq → a = c := by
grind
example [Ord α] [Std.LawfulEqCmp (compare : α → α → Ordering)] (a b c : Array (Vector (List α) n))
: b = c → o = .eq → a.compareLex (Vector.compareLex (List.compareLex compare)) b = o → a = c := by
grind
```
This PR implements support for equations `<num> = 0` in rings and fields
of unknown characteristic. Examples:
```lean
example [Field α] (a : α) : (2 * a)⁻¹ = a⁻¹ / 2 := by grind
example [Field α] (a : α) : (2 : α) ≠ 0 → 1 / a + 1 / (2 * a) = 3 / (2 * a) := by grind
example [CommRing α] (a b : α) (h₁ : a + 2 = a) (h₂ : 2*b + a = 0) : a = 0 := by
grind
example [CommRing α] (a b : α) (h₁ : a + 6 = a) (h₂ : b + 9 = b) (h₂ : 3*b + a = 0) : a = 0 := by
grind
example [CommRing α] (a b : α) (h₁ : a + 6 = a) (h₂ : b + 9 = b) (h₂ : 3*b + a = 0) : a = 0 := by
grind
example [CommRing α] (a b : α) (h₁ : a + 2 = a) (h₂ : b = 0) : 4*a + b = 0 := by
grind
example [CommRing α] (a b c : α) (h₁ : a + 6 = a) (h₂ : c = c + 9) (h : b + 3*c = 0) : 27*a + b = 0 := by
grind
```
This PR introduces a simple variable-reordering heuristic for `cutsat`.
It is needed by the `ToInt` adapter to support finite types such as
`UInt64`. The current encoding into `Int` produces large coefficients,
which can enlarge the search space when an unfavorable variable order is
used. Example:
```lean
example (a b c : UInt64) : a ≤ 2 → b ≤ 3 → c - a - b = 0 → c ≤ 5 := by
grind
```
This PR implements support for equalities and disequalities in `grind
cutsat`. We still have to improve the encoding. Examples:
```lean
example (a b c : Fin 11) : a ≤ 2 → b ≤ 3 → c = a + b → c ≤ 5 := by
grind
example (a : Fin 2) : a ≠ 0 → a ≠ 1 → False := by
grind
```
This PR replaces all usages of `[:]` slice notation in `src` with the
new `[...]` notation in production code, tests and comments. The
underlying implementation of the `Subarray` functions stays the same.
Notation cheat sheet:
* `*...*` is the doubly-unbounded range.
* `*...a` or `*...<a` contains all elements that are less than `a`.
* `*...=a` contains all elements that are less than or equal to `a`.
* `a...*` contains all elements that are greater than or equal to `a`.
* `a...b` or `a...<b` contains all elements that are greater than or
equal to `a` and less than `b`.
* `a...=b` contains all elements that are greater than or equal to `a`
and less than or equal to `b`.
* `a<...*` contains all elements that are greater than `a`.
* `a<...b` or `a<...<b` contains all elements that are greater than `a`
and less than `b`.
* `a<...=b` contains all elements that are greater than `a` and less
than or equal to `b`.
Benchmarks have shown that importing the iterator-backed parts of the
polymorphic slice library in `Init` impacts build performance. This PR
avoids this problem by separating those parts of the library that do not
rely on iterators from those those that do. Whereever the new slice
notation is used, only the iterator-independent files are imported.
