This PR adds support for the following import variants to the
experimental module system:
* `private import`: Makes the imported constants available only in
non-exported contexts such as proofs. In particular, the import will not
be loaded, or required to exist at all, when the current module is
imported into other modules.
* `import all`: Makes non-exported information such as proofs of the
imported module available in non-exported contexts in the current
module. Main purpose is to allow for reasoning about imported
definitions when they would otherwise be opaque. TODO: adjust name
resolution so that imported `private` decls are accessible through
syntax.
They can be combined into `private import all`, which will likely be the
most common usage of `import all`.
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 adds simprocs to simplify appends of non-overlapping Bitvector
adds. We add a simproc instead of just a `simp` lemma to ensure that we
correctly rewrite bitvector appends. Since bitvector appends lead to
computation at the bitvector width level, it seems to be more stable to
write a simproc.
As I write this, I realize that I can maybe write the `simp` lemma using
`no_index` to recover the same behaviour, so I'll try that too.
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 adds some currently failing tests for `grind +ring`, resulting
in either kernel type mismatches (bugs) or a kernel deep recursion
(perhaps just a too-large problem).
This PR is a follow up to #8055 and implements a `Selector` for async
UDP in order to allow IO multiplexing using UDP sockets.
The technical approach taken for this PR is basically a copy of #8078
but adjusted for UDP. The libuv API gives the same guarantee that was
used in that PR.
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 is a follow up to #8055 and implements a Selector for
`Std.Channel` in order to allow
multiplexing using channels.
There is one subtlety to the implementation: Suppose we are in a
situation where we run `select` in a loop on two channels. One of the
channels is always quiet while the other has data available occasionally
(however not always as this would trigger the `tryFn` fast path and hide
the issue). In this situation the select receivers that are enqueued on
the silent channel would usually just remain there indefinitely as
nothing ever happens, causing a memleak. To avoid this we want to make a
channel select clean up after itself, even if it fails.
In an imperative programming language we could implement the receive
queue as a doubly linked list and simply make each receive select
maintain a pointer to its element in the queue and then remove itself in
`O(1)` upon failure. As that is not possible in Lean trivially we
decided to go for another approach for now: simply filter the queue for
selects that have failed in `unregisterFn`. While this approach is
`O(n)` we expect the amount of receivers enqueued on a channel to not be
terribly large and thus this to be a reasonably fast operation compared
to the remaining overhead. If it ever ends up becoming an issue, we
could switch to an approach that uses a `TreeMap` with numbered
receivers instead at a certain wait queue size and go to `O(log(n))`.
This PR fixes a mistake in documented time complexity of List.merge.
The running time would only be `O(min |l| |r|)` in the very specific
best case where all the elements in the shorter list are less than all
the elements in the longer list. The worst-case (and average-case) time
complexity is `O(|l| + |r|)`.
Also update the variables in the time complexity to match the names of
the parameters.
This PR adds optimized division functions for `Int` and `Nat` when the
arguments are known to be divisible (such as when normalizing
rationals). These are backed by the gmp functions `mpz_divexact` and
`mpz_divexact_ui`. See also leanprover-community/batteries#1202.
This PR fixes a bug where the old compiler's lcnf conversion expr cache
was not including all of the relevant information in the key, leading to
terms inadvertently being erased. The `root` variable is used to
determine whether lambda arguments to applications should get let
bindings or not, which in turn affects later decisions about type
erasure (erase_irrelevant assumes that any non-atomic argument is
irrelevant).
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 changes the predicate for `Option.guard` to be `p : α → Bool`
instead of `p : α → Prop`. This brings it in line with other comparable
functions like `Option.filter`.
This PR adds an initial set of `@[grind]` annotations for
`List`/`Array`/`Vector`, enough to set up some regression tests using
`grind` in proofs about `List`. More annotations to follow.
This PR makes `realizeConst` to not set a `declPrefix`. This allows the
realization of both `foo.eq_def` and `bar.eq_def`, where `foo` and `bar`
are mutually recursive, all attached to the same function's environment.
This PR generalises `List.eraseDups` to allow for an arbitrary
comparison relation. Further, it proves `eraseDups_append : (as ++
bs).eraseDups = as.eraseDups ++ (bs.removeAll as).eraseDups`.
This PR adds `List.findRev?` and `List.findSomeRev?`, for parity with
the existing Array API, and simp lemmas converting these into existing
operations.
This PR adds extensional hash maps and hash sets under the names
`Std.ExtDHashMap`, `Std.ExtHashMap` and `Std.ExtHashSet`. Extensional
hash maps work like regular hash maps, except that they have
extensionality lemmas which make them easier to use in proofs. This
however makes it also impossible to regularly iterate over its entries.
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 fixes the monomial order used by the commutative ring procedure
in `grind`. The following new test now terminates quickly.
```lean
example [CommRing α] (a b c : α)
: a + b + c = 3 →
a^2 + b^2 + c^2 = 5 →
a^3 + b^3 + c^3 = 7 →
a^4 + b^4 + c^4 = 9 := by
grind +ring
```
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 updates the If-Normalization example, to separately give an
implementation and subsequently prove the spec (using fun_induction),
instead of previously building a term in the subtype directly. At the
same time, adds a (failing) `grind` test case illustrating a problem
with unused match witnesses.
