Rather than adding symm hypotheses to the local context, it now adds
them to the list of hypotheses derived from the local context.
This is not ideal for performance reasons, but it at least closes#3922.
In the future, solveByElim could maintain its own cache of facts that it
updates whenever it does intro.
This PR partly addresses #3458, by adding an option `autoPromoteIndices`
to turn off the promotion of fixed indices to parameters. The actual fix
for the issue is in a separate PR #3591.
Because nested inductive datatypes parameters cannot contain local
variables, it is often desirable for a fixed index to not be promoted,
as to allow free variables in that place. See example in `3458_1.lean`
This is intended to fail at present: it just adds a test case containing
a minimization of a Mathlib slowdown from #3807.
Prior to #3807, the declaration `exists_algHom_adjoin_of_splits'''` at
the end of the file would take around 16,000 heartbeats. Now it takes
around 210,000 heartbeats.
---------
Co-authored-by: Leonardo de Moura <leomoura@amazon.com>
Previously, there was a function `opaque fromUTF8Unchecked : ByteArray
-> String` which would convert a list of bytes into a string, but as the
name implies it does not validate that the string is UTF-8 before doing
so and as a result it produces unsound results in the compiler (because
the lean model of `String` indirectly asserts UTF-8 validity). This PR
replaces that function by
```lean
opaque validateUTF8 (a : @& ByteArray) : Bool
opaque fromUTF8 (a : @& ByteArray) (h : validateUTF8 a) : String
```
so that while the function is still "unchecked", we have a proof witness
that the string is valid. To recover the original, actually unchecked
version, use `lcProof` or other unsafe methods to produce the proof
witness.
Because this was the only `ByteArray -> String` conversion function, it
was used in several places in an unsound way (e.g. reading untrusted
input from IO and treating it as UTF-8). These have been replaced by
`fromUTF8?` or `fromUTF8!` as appropriate.
* Replaces the unused `Lean.PrettyPrinter.ppConst` with
`MessageData.ofConst` (which similarly avoids an unnecessary `@`) and
that further generates a hover for the constant
* Uses this in `TryThis.addRewriteSuggestion`, so that `rw?` suggestions
don't have unnecessary `@`s.
* Add `MessageData.signature`, as a wrapper around
`PrettyPrinter.signature`, using the same machinery to generate hovers
for constants, improving the hover behaviour in #check so that we get
second order pop-up for constants in the signature. (Not sure how to
write tests for second order hovers, so there is no test for this.)
Adds the ability to show a diff when `guard_msgs` fails, using the
histogram diff algorithm pioneered in jgit. This algorithm tends to
produce more user-friendly diffs, but it can be quadratic in the worst
case. Empirically, the quadratic case of this implementation doesn't
seem to be slow enough to matter for messages smaller than hundreds of
megabytes, but if it's ever a problem, we can mitigate it the same way
jgit does by falling back to Myers diff.
See lean/run/guard_msgs.lean in the tests directory for some examples of
its output.
Adds `IO.FS.Handle.isTty` to check whether a handle is a Windows console
or Unix terminal. Also adds an `isTty` field to `IO.FS.Stream`, so that
this can be checked on, e.g., `stdout`.
Go-to-def on `@[builtin_term_parser]` should go to the line
```lean
builtin_initialize registerBuiltinParserAttribute `builtin_term_parser ``Category.term
```
not
```lean
/-- `term` is the builtin syntax category for terms. ... -/
def term : Category := {}
```
While implementing #3925, I noticed that the performance of the
`textDocument/semanticTokens/full` request is *extremely* bad due to a
quadratic implementation. Specifically, on my machine, computing the
full semantic tokens for `Lean/Elab/Do.lean` took a full 5s. In
practice, this means that while elaborating the file, one core is
entirely busy with computing the semantic tokens for the file.
This PR fixes this performance bug by re-implementing the semantic token
handling, reducing the latency for `Lean/Elab/Do.lean` from 5s to 60ms.
As a result, the overly cautious refresh latency of 5s in #3925 can
easily be reduced to 2s again.
Since the previous semantic tokens implementation used a very brittle
hack to identify projections, this PR also changes the projection
notation elaboration to augment the `InfoTree` syntax for the field of a
projection with a special syntax node of kind
`Lean.Parser.Term.identProjKind`. With this syntax kind, projection
fields can now easily be identified in the `InfoTree`.
`Nat.repr` was implemented by generating a list of `Chars`, each created
by a 10-way if-then-else. This can cause significant slow down in some
particular use cases.
Now `Nat.repr` is `implemented_by` a faster implementation that uses
C++’s `std::to_string` on small numbers (< USize.size) and maintains an
array of pre-allocated strings for the first 128 numbers.
The handling of big numbers (≥ USize.size) remains as before.
The `#guard_msgs` command already runs linters by virtue of using
`elabCommandTopLevel`, so linters should *not* be run on `#guard_msgs`
itself. While we could use a more general solution, of the linters the
unused variables linter is the noisiest one, and it's easy enough to
make it not report messages for `#guard_msgs`.
Just a lemma that we noticed is missing when working on #3880 at the
retreat. We also noticed that there are naming inconsistencies in the
lemmas for `bmod` and `emod`, we should fix that in the future.
@semorrison, does this include all the answers to the questions I asked
in our thread? I think so!
---------
Co-authored-by: Mac Malone <tydeu@hatpress.net>
while trying to help a user who was facing an unhelpful
```
omega did not find a contradiction:
[0, 0, 0, 0, 1, -1] ∈ [1, ∞)
[0, 0, 0, 0, 0, 1] ∈ [0, ∞)
[0, 0, 0, 0, 1] ∈ [0, ∞)
[1, -1] ∈ [1, ∞)
[0, 0, 0, 1] ∈ [0, ∞)
[0, 1] ∈ [0, ∞)
[1] ∈ [0, ∞)
[0, 0, 0, 1, 1] ∈ [-1, ∞)
```
I couldn’t resist and wrote a pretty-printer for these problem that
shows the linear combination as such, and includes the recognized atoms.
This is especially useful since oftem `omega` failures stem from failure
to recognize atoms as equal. In this case, we now get:
```
omega-failure.lean:19:2-19:7: error: omega could not prove the goal:
a possible counterexample may satisfy the constraints
d - e ≥ 1
e ≥ 0
d ≥ 0
a - b ≥ 1
c ≥ 0
b ≥ 0
a ≥ 0
c + d ≥ -1
where
a := ↑(sizeOf xs)
b := ↑(sizeOf x)
c := ↑(sizeOf x.fst)
d := ↑(sizeOf x.snd)
e := ↑(sizeOf xs)
```
and this might help the user make progress (e.g. by using `case x`
first, and investingating why `sizeOf xs` shows up twice)
Reusing the best profiling UI out there
Usage:
```
lean -Dtrace.profiler=true -Dtrace.profiler.output=profile.json foo.lean ...
```
then open `profile.json` in https://profiler.firefox.com/.
See also `script/collideProfiles.lean` for minimizing and merging
profiles.
