This PR splits `Lean.Grind.CommRing` into 4 typeclasses, for semirings
and noncommutative rings. This does not yet change the behaviour of
`grind`, which expects to find all 4 typeclasses. Later we will make
some generalizations.
This PR stops `dsimp` from visiting proof terms, which should make
`simp` and `dsimp` more efficient.
In this attempt I have `dsimp` leave the proofs in place as-is, instead
of simplifying the proof type.
Closes#6960
This PR refines the new wording of the "application type mismatch" error
message to avoid ambiguity in references to the "final" argument in a
subexpression that may be followed by additional arguments.
It does so by replacing "final" with "last," rephrasing the message so
that this adjective modifies the argument itself rather than the word
"argument," and only displaying this wording when two arguments could be
confused (determined by expression equality).
These changes were motivated by a report that in cases where a function
application `f a b c` fails to elaborate because `b` is incorrectly
typed, the existing error message's reference to `b` being the "final"
argument in the application `f a b` may create confusion because it is
not the final argument in the full application expression.
This PR improves support for structure extensionality in `grind`. It now
uses eta expansion for structures instead of the extensionality theorems
generated by `[ext]`. Examples:
```lean
opaque f (a : Nat) : Nat × Bool
attribute [grind ext] Prod Subtype
example (a b : Nat) : (f a).1 = (f b).1 → (f a).2 = (f b).2 → f a = f b := by
grind
def g (a : Nat) : { x : Nat // x > 1 } :=
⟨a + 2, by grind⟩
example (a b : Nat) : (g a).1 = (g b).1 → g a = g b := by
grind
@[grind ext] structure S where
x : Nat
y : Int
example (x y : S) : x.1 = y.1 → x.2 = y.2 → x = y := by
grind
```
This PR makes `fun_induction` and `fun_cases` (try to) unfold the
function application of interest in the goal. The old behavior can be
enabled with `set_option tactic.fun_induction.unfolding false`. For
`fun_cases` this does not work yet when the function’s result type
depends on one of the arguments, see issue #8296.
This PR improves the generation of `.induct_unfolding` by rewriting
`match` statements more reliably, using the new “congruence equations”
introduced in #8284. Fixes#8195.
This PR adds a new variant of equations for matchers, namely “congruence
equations” that generalize the normal matcher equations. They have
unrestricted left-hand-sides, extra equality assumptions relating the
discriminiants with the patterns and thus prove heterogenous equalities.
In that sense they combine congruence with rewriting. They can be used
to rewrite matcher applications where, due to dependencies, `simp` would
fail to rewrite the discriminants, and will be used when producing the
unfolding induction theorems.
This PR changes `addPPExplicitToExposeDiff` to show universe differences
and to visit into projections, e.g.:
```
error: tactic 'rfl' failed, the left-hand side
(Test.mk (∀ (x : PUnit.{1}), True)).1
is not definitionally equal to the right-hand side
(Test.mk (∀ (x : PUnit.{2}), True)).1
```
for
```lean
inductive Test where
| mk (x : Prop)
example : (Test.mk (∀ _ : PUnit.{1}, True)).1 = (Test.mk (∀ _ : PUnit.{2}, True)).1 := by
rfl
```
This PR adjusts the error message when `apply` fails to unify. It is
clearer about distinguishing the term being applied and the goal, as
well as distinguishing the "conclusion" of the given term and the term
itself.
---------
Co-authored-by: Joachim Breitner <mail@joachim-breitner.de>
This PR rewords the `application type mismatch` error message by more
specifically mentioning that the problem is with the final argument.
This is useful when the same argument is passed to the function multiple
times.
We decided against using a wording which specifically mentions the
"function expression", because users who are not used to currying might
not think of the `f a` in `f a b` as a function.
This PR adds additional infrastructure for error message formatting.
Specifically, it adds convenience formatters for hints and notes,
including the ability to attach code actions to hint messages using a
"Try This"-like widget, along with several convenience formatters for
message data.
---------
Co-authored-by: Joachim Breitner <mail@joachim-breitner.de>
This PR omits cases from functional induction/cases principles that are
implemented `by contradiction` (or, more generally, `False.elim`,
`absurd` or `noConfusion). Breaking change in the sense that there are
fewer goals to prove after using functional induction.
Fixes#8103.
This PR fixes an issue in the theory propagation used in `grind`. When
two equivalence classes are merged, the core may need to push additional
equalities or disequalities down to the satellite theory solvers (e.g.,
`cutsat`, `comm ring`, etc). Some solvers (e.g. `cutsat`) assume that
all of the core’s invariants hold before they receive those facts.
Propagating immediately therefore risks violating a solver’s
pre-conditions midway through the merge. To decouple the merge operation
from propagation and to keep the core solver-agnostic, this PR adds the
helper type `PendingTheoryPropagation`.
This PR improves the E-matching pattern inference procedure in `grind`.
Consider the following theorem:
```lean
@[grind →]
theorem eq_empty_of_append_eq_empty {xs ys : Array α} (h : xs ++ ys = #[]) : xs = #[] ∧ ys = #[] :=
append_eq_empty_iff.mp h
```
Before this PR, `grind` inferred the following pattern:
```lean
@HAppend.hAppend _ _ _ _ #2#1
```
Note that this pattern would match any `++` application, even if it had
nothing to do with arrays. With this PR, the inferred pattern becomes:
```lean
@HAppend.hAppend (Array #3) (Array _) (Array _) _ #2#1
```
With the new pattern, the theorem will not be considered by `grind` for
goals that do not involve `Array`s.
This PR implements **stepwise proof terms** in the commutative ring
procedure used by `grind`. These terms serve as an alternative
representation to the traditional Nullstellensatz certificates, aiming
to address the **exponential worst-case complexity** often associated
with certificate construction.
While various compression techniques for Nullstellensatz certificates
exist, they are not implemented in our procedure. Moreover, many of
these techniques rely on additional properties not available in
arbitrary commutative rings. In contrast, the stepwise proof terms
encode the **actual derivation** used during simplification, offering
significantly better scalability in practice.
Here is a motivating example:
```lean
example {α} [CommRing α] [IsCharP α 0] (d t c : α) (d_inv PSO3_inv : α)
(Δ40 : d^2 * (d + t - d * t - 2) * (d + t + d * t) = 0)
(Δ41 : -d^4 * (d + t - d * t - 2) *
(2 * d + 2 * d * t - 4 * d * t^2 + 2 * d * t^4 + 2 * d^2 * t^4 - c * (d + t + d * t)) = 0)
(_ : d * d_inv = 1)
(_ : (d + t - d * t - 2) * PSO3_inv = 1) :
t^2 = t + 1 := by grind +ring
```
In this case, the Nullstellensatz certificate generated by our procedure
contains **over 20,000 terms**, which overwhelms the Lean kernel during
verification. @kim-em also computed certificates using Mathematica with
various variable orderings, producing results between **500 and 2,000
terms**: still quite large.
By switching to stepwise derivations:
- `grind` completes the goal in **under 10 ms**
- The Lean kernel checks the resulting proof term in **under 1 second**
This change dramatically improves both the performance and robustness of
`grind` for nontrivial algebraic goals.
This PR adds support for inductive and coinductive predicates defined
using lattice theoretic structures on `Prop`. These are syntactically
defined using `greatest_fixpoint` or `least_fixpoint` termination
clauses for recursive `Prop`-valued functions. The functionality relies
on `partial_fixpoint` machinery and requires function definitions to be
monotone. For non-mutually recursive predicates, an appropriate
(co)induction proof principle (given by Park induction) is generated.
Summary of changes:
- `Interal.Order.Basic` now contains `CompleteLattice` class, as well as
version of Knaster-Tarski fixpoint theorem (with an associated Park
induction principle) for the internal use for defining (co)inductive
predicates. `Prop` is shown to have two complete lattice structures (one
given by implication order for defining inductive predicates, and one
given by reverse implication for defining coinductive predicates).
Additionally, proofs that lattices are closed under products and
function spaces are included.
- Partial fixpoint's `EqnInfo` now additionally carries an information
whether something is defined as a lattice-theoretic fixpoint or via
CCPOs.
- When constructing a (co)inductive predicate,`PartialFixpoint/Main`
builds an appropriate lattice structure on the type of the predicate
using product lattice, function space lattice and an appropriate lattice
instance on `Prop`.
- `PartialFixpoint/Eqns` is modified to be able to perform rewrite under
lattice-theoretic fixpoint construction
- `PartialFixpoint/Induction`contains a case split for handling of the
(co)inductive predicates. In the case of lattice-theoretic fixpoints, it
appropriately desugars the Park induction principle.
This PR lets `induction` accept eliminator where the motive application
in the conclusion has complex arguments; these are abstracted over using
`kabstract` if possible. This feature will go well with unfolding
induction principles (#8088).
This PR fixes a bug when constructing the proof term for a
Nullstellensatz certificate produced by the new commutative ring
procedure in `grind`. The kernel was rejecting the proof term.
This PR changes `Lean.Grind.CommRing` to inline the `NatCast` instance
(i.e. to be provided by the user) rather than constructing one from the
existing data. Without this change we can't construct instances in
Mathlib that `grind` can use.
This PR adds the “unfolding” variant of the functional induction and
functional cases principles, under the name `foo.induct_unfolding` resp.
`foo.fun_cases_unfolding`. These theorems combine induction over the
structure of a recursive function with the unfolding of that function,
and should be more reliable, easier to use and more efficient than just
case-splitting and then rewriting with equational theorems.
For example instead of
```
ackermann.induct
(motive : Nat → Nat → Prop)
(case1 : ∀ (m : Nat), motive 0 m)
(case2 : ∀ (n : Nat), motive n 1 → motive (Nat.succ n) 0)
(case3 : ∀ (n m : Nat), motive (n + 1) m → motive n (ackermann (n + 1) m) → motive (Nat.succ n) (Nat.succ m))
(x x : Nat) : motive x x
```
one gets
```
ackermann.fun_cases_unfolding
(motive : Nat → Nat → Nat → Prop)
(case1 : ∀ (m : Nat), motive 0 m (m + 1))
(case2 : ∀ (n : Nat), motive n.succ 0 (ackermann n 1))
(case3 : ∀ (n m : Nat), motive n.succ m.succ (ackermann n (ackermann (n + 1) m)))
(x✝ x✝¹ : Nat) : motive x✝ x✝¹ (ackermann x✝ x✝¹)
```
This PR fixes the `grind +splitImp` and the arrow propagator. Given `p :
Prop`, the propagator was incorrectly assuming `A` was always a
proposition in an arrow `A -> p`. This PR also adds a missing
normalization rule to `grind`.
This PR improves equality propagation (also known as theory combination)
and polynomial simplification for rings that do not implement the
`NoZeroNatDivisors` class. With these fixes, `grind` can now solve:
```lean
example [CommRing α] (a b c : α) (f : α → Nat)
: a + b + c = 3 →
a^2 + b^2 + c^2 = 5 →
a^3 + b^3 + c^3 = 7 →
f (a^4 + b^4) + f (9 - c^4) ≠ 1 := by
grind +ring
```
This example uses the commutative ring procedure, the linear integer
arithmetic solver, and congruence closure.
For rings that implement `NoZeroNatDivisors`, a polynomial is now also
divided by the greatest common divisor (gcd) of its coefficients when it
is inserted into the basis.
This PR ensures that `set_option grind.debug true` works properly when
using `grind +ring`. It also adds the helper functions `mkPropEq` and
`mkExpectedPropHint`.
This PR implements equality propagation in the new commutative ring
procedure in `grind`. The idea is to propagate implied equalities back
to the `grind` core module that does congruence closure. In the
following example, the equalities: `x^2*y = 1` and `x*y^2 - y = 0` imply
that `y*x` is equal to `y*x*y`, which implies by congruence that `f
(y*x) = f (y*x*y)`.
```lean
example [CommRing α] (x y : α) (f : α → Nat) : x^2*y = 1 → x*y^2 - y = 0 → f (y*x) = f (y*x*y) := by
grind +ring
```
This PR implements the main loop of the new commutative ring procedure
in `grind`. In the main loop, for each polynomial `p` in the todo queue,
the procedure:
- Simplifies it using the current basis.
- Computes critical pairs with polynomials already in the basis and adds
them to the queue.
After the queue is empty, the disequalities are re-simplified using the
new basis. `grind` can now solve examples such as:
```lean
example [CommRing α] (x y : α) : x*y*x = 1 → x*y*y = y → y = 1 := by
grind +ring
example [CommRing α] (x y : α) : x^2*y = 1 → x*y^2 = y → y*x = 1 := by
grind +ring
example (x y : BitVec 16) : x^2*y = 1 → x*y^2 = y → y*x = 1 := by
grind +ring
```
This PR implements the generation of compact proof terms for
Nullstellensatz certificates in the new commutative ring procedure in
`grind`. Some examples:
```lean
example [CommRing α] (x y : α) : x = 1 → y = 2 → 2*x + y = 4 := by
grind +ring
example [CommRing α] [IsCharP α 7] (x y : α) : 3*x = 1 → 3*y = 2 → x + y = 1 := by
grind +ring
example [CommRing α] [NoZeroNatDivisors α] (x y : α) : 3*x = 1 → 3*y = 2 → x + y = 1 := by
grind +ring
example (x y z : BitVec 8) : z = y → (x + 1)*(x - 1)*y + y = z*x^2 + 1 → False := by
grind +ring
```
