This PR improves support for nonlinear `/` and `%` in `grind cutsat`.
For example, given `a / b`, if `cutsat` discovers that `b = 2`, it now
propagates that `a / b = b / 2`. This PR is similar to #9996, but for
`/` and `%`. Example:
```lean
example (a b c d : Nat)
: b > 1 → d = 1 → b ≤ d + 1 → a % b = 1 → a = 2 * c → False := by
grind
```
This PR fixes a bug in `#eval` where clicking on the evaluated
expression could show errors in the Infoview. This was caused by `#eval`
not saving the temporary environment that is used when elaborating the
expression.
This PR provides factories that derive order typeclasses in bulk, given
an `Ord` instance. If present, existing instances are preferred over
those derived from `Ord`. It is possible to specify any instance
manually if desired.
This PR reduces the number of `Nat.Bitwise` grind annotations we have
the deal with distributivity. The new smaller set encourages `grind` to
rewrite into DNF. The old behaviour just resulted in saturating up to
the instantiation limits.
This PR improves support for nonlinear monomials in `grind cutsat`. For
example, given a monomial `a * b`, if `cutsat` discovers that `a = 2`,
it now propagates that `a * b = 2 * b`.
Recall that nonlinear monomials like `a * b` are treated as variables in
`cutsat`, a procedure designed for linear integer arithmetic.
Example:
```lean
example (a : Nat) (ha : a < 8) (b c : Nat) : 2 ≤ b → c = 1 → b ≤ c + 1 → a * b < 8 * b := by
grind
example (x y z w : Int) : z * x * y = 4 → x = z + w → z = 1 → w = 2 → False := by
grind
```
This PR registers a parser alias for `Lean.Parser.Command.visibility`.
This avoids having to import `Lean.Parser.Command` in simple command
macros that use visibilities.
This PR provides the means to quickly provide all the order instances
associated with some high-level order structure (preorder, partial
order, linear preorder, linear order). This can be done via the factory
functions `PreorderPackage.ofLE`, `PartialOrderPackage.ofLE`,
`LinearPreorderPackage.ofLE` and `LinearOrderPackage.ofLE`.
This PR makes `IsPreorder`, `IsPartialOrder`, `IsLinearPreorder` and
`IsLinearOrder` extend `BEq` and `Ord` as appropriate, adds the
`LawfulOrderBEq` and `LawfulOrderOrd` typeclasses relating `BEq` and
`Ord` to `LE`, and adds many lemmas and instances.
Note: This PR contains a refactoring where `Init.Data.Ord` is moved to
`Init.Data.Ord.Basic`. If I added `Init.Data.Ord` simply importing all
submodules, git would not be able to determine that `Init.Data.Ord` was
renamed to `Init.Data.Ord.Basic`. This could lead to unnecessary merge
conflicts in the future. Hence, I chose the name `Init.Data.OrdRoot`
instead of `Init.Data.Ord` temporarily. After this PR, I will rename
this module back to `Init.Data.Ord` in a separate PR.
(This is a copy of #9430: I will not touch that PR because it currently
allows to debug a CI problem and pushing commits might break the
reproducibility.)
This PR eliminates uses of `intros x y z` (with arguments) and updates
the `intros` docstring to suggest that `intro x y z` should be used
instead. The `intros` tactic is historical, and can be traced all the
way back to Lean 2, when `intro` could only introduce a single
hypothesis. Since 2020, the `intro` tactic has superceded it. The
`intros` tactic (without arguments) is currently still useful.
This PR upstreams the definition of Rat from Batteries, for use in our
planned interval arithmetic tactic.
---------
Co-authored-by: Sebastian Ullrich <sebasti@nullri.ch>
This PR adds two test cases extracted from Mathlib, that `grind` cannot
solve but `omega` can. Originally the multiplication instance came from
`Nat.instSemiring` and `Int.instSemiring`, in minimizing I found that
`Distrib` is already enough.
---------
Co-authored-by: Kim Morrison <kim@tqft.net>
This PR fixes an issue when running Mathlib's `FintypeCat` as code,
where an erased type former is passed to a polymorphic function. We were
lowering the arrow type to`object`, which conflicts with the runtime
representation of an erased value as a tagged scalar.
This PR modifies the generation of induction and partial correctness
lemmas for `mutual` blocks defined via `partial_fixpoint`. Additionally,
the generation of lattice-theoretic induction principles of functions
via `mutual` blocks is modified for consistency with `partial_fixpoint`.
The lemmas now come in two variants:
1. A conjunction variant that combines conclusions for all elements of
the mutual block. This is generated only for the first function inside
of the mutual block.
2. Projected variants for each function separately
## Example 1
```lean4
axiom A : Type
axiom B : Type
axiom A.toB : A → B
axiom B.toA : B → A
mutual
noncomputable def f : A := g.toA
partial_fixpoint
noncomputable def g : B := f.toB
partial_fixpoint
end
```
Generated `fixpoint_induct` lemmas:
```lean4
f.fixpoint_induct (motive_1 : A → Prop) (motive_2 : B → Prop) (adm_1 : admissible motive_1)
(adm_2 : admissible motive_2) (h_1 : ∀ (g : B), motive_2 g → motive_1 g.toA)
(h_2 : ∀ (f : A), motive_1 f → motive_2 f.toB) : motive_1 f
g.fixpoint_induct (motive_1 : A → Prop) (motive_2 : B → Prop) (adm_1 : admissible motive_1)
(adm_2 : admissible motive_2) (h_1 : ∀ (g : B), motive_2 g → motive_1 g.toA)
(h_2 : ∀ (f : A), motive_1 f → motive_2 f.toB) : motive_2 g
```
Mutual (conjunction) variant:
```lean4
f.mutual_fixpoint_induct (motive_1 : A → Prop) (motive_2 : B → Prop) (adm_1 : admissible motive_1) (adm_2 : admissible motive_2)
(h_1 : ∀ (g : B), motive_2 g → motive_1 g.toA) (h_2 : ∀ (f : A), motive_1 f → motive_2 f.toB) :
motive_1 f ∧ motive_2 g
```
## Example 2
```lean4
mutual
def f (n : Nat) : Option Nat :=
g (n + 1)
partial_fixpoint
def g (n : Nat) : Option Nat :=
if n = 0 then .none else f (n + 1)
partial_fixpoint
end
```
Generated `partial_correctness` lemmas (in a projected variant):
```lean4
f.partial_correctness (motive_1 motive_2 : Nat → Nat → Prop)
(h_1 :
∀ (g : Nat → Option Nat),
(∀ (n r : Nat), g n = some r → motive_2 n r) → ∀ (n r : Nat), g (n + 1) = some r → motive_1 n r)
(h_2 :
∀ (f : Nat → Option Nat),
(∀ (n r : Nat), f n = some r → motive_1 n r) →
∀ (n r : Nat), (if n = 0 then none else f (n + 1)) = some r → motive_2 n r)
(n r✝ : Nat) : f n = some r✝ → motive_1 n r✝
g.partial_correctness (motive_1 motive_2 : Nat → Nat → Prop)
(h_1 :
∀ (g : Nat → Option Nat),
(∀ (n r : Nat), g n = some r → motive_2 n r) → ∀ (n r : Nat), g (n + 1) = some r → motive_1 n r)
(h_2 :
∀ (f : Nat → Option Nat),
(∀ (n r : Nat), f n = some r → motive_1 n r) →
∀ (n r : Nat), (if n = 0 then none else f (n + 1)) = some r → motive_2 n r)
(n r✝ : Nat) : g n = some r✝ → motive_2 n r✝
```
Mutual (conjunction) variant:
```
f.mutual_partial_correctness (motive_1 motive_2 : Nat → Nat → Prop)
(h_1 :
∀ (g : Nat → Option Nat),
(∀ (n r : Nat), g n = some r → motive_2 n r) → ∀ (n r : Nat), g (n + 1) = some r → motive_1 n r)
(h_2 :
∀ (f : Nat → Option Nat),
(∀ (n r : Nat), f n = some r → motive_1 n r) →
∀ (n r : Nat), (if n = 0 then none else f (n + 1)) = some r → motive_2 n r) :
(∀ (n r : Nat), f n = some r → motive_1 n r) ∧ ∀ (n r : Nat), g n = some r → motive_2 n r
```
This PR modifies `intro` to create tactic info localized to each
hypothesis, making it possible to see how `intro` works
variable-by-variable. Additionally:
- The tactic supports `intro rfl` to introduce an equality and
immediately substitute it, like `rintro rfl` (recall: the `rfl` pattern
is like doing `intro h; subst h`). The `rintro` tactic can also now
support `HEq` in `rfl` patterns if `eq_of_heq` applies.
- In `intro (h : t)`, elaboration of `t` is interleaved with unification
with the type of `h`, which prevents default instances from causing
unification to fail.
- Tactics that change types of hypotheses (including `intro (h : t)`,
`delta`, `dsimp`) now update the local instance cache.
In `intro x y z`, tactic info ranges are `intro x`, `y`, and `z`. The
reason for including `intro` with `x` is to make sure the info range is
"monotonic" while adding the first argument to `intro`.
This PR adds lemmas for the `TreeMap` operations `filter`, `map` and
`filterMap`. These lemmas existed already for hash maps and are simply
ported over from there.
This PR allows most of the `List.lookup` lemmas to be used when
`LawfulBEq α` is not available.
`LawfulBEq` is very strong. Most of the lemmas don't actually require it
-- some only require `ReflBEq`, and only `List.lookup_eq_some_iff`
actually requires `LawfulBEq`.
This PR moves arithmetic of `String.Pos` out of the prelude.
Other `String` declarations are part of the prelude because they are
generated by macros, but this does not seem to be the case for these.
This PR cleans up `optParam`/`autoParam`/etc. annotations before
elaborating definition bodies, theorem bodies, `fun` bodies, and `let`
function bodies. Both `variable`s and binders in declaration headers are
supported.
There are no changes to `inductive`/`structure`/`axiom`/etc. processing,
just `def`/`theorem`/`example`/`instance`.
This PR ensures that equations in the `grind cutsat` module are
maintained in solved form. That is, given an equation `a*x + p = 0` used
to eliminate `x`, the linear polynomial `p` must not contain other
eliminated variables. Before this PR, equations were maintained in
triangular form. We are going to use the solved form to linearize
nonlinear terms.
This PR removes the option `grind +ringNull`. It provided an alternative
proof term construction for the `grind ring` module, but it was less
effective than the default proof construction mode and had effectively
become dead code.
This PR also optimizes semiring normalization proof terms using the
infrastructure added in #9946.
**Remark:** After updating stage0, we can remove several background
theorems from the `Init/Grind` folder.
This PR optimizes the proof terms produced by `grind linarith`. It is
similar to #9945, but for the `linarith` module in `grind`.
It removes unused entries from the context objects when generating the
final proof, significantly reducing the amount of junk in the resulting
terms.
