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DO NOT MERGE: v1.12 branch for comparison to master #202
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    This is an alternative to JuliaLang#59161, attempting to fix the same observed CI behavior. I don't think JuliaLang#59161 is the best way to fix it, as the point of these tests is to make sure that REPL completions looks up the PATH internally. Calling the path update function explicitly defeats that somewhat. The extra synchronization here to make this deterministic is messy, but I do think it makes the test closer to real-world usage. The core attempted fix here is to move the read of the PATH_ locals inside `maybe_spawn_cache_PATH` into the locked region. If they are not under the lock, they could be unconditionally overwritten by a second call to this function, causing issues in the state machine. I do not know whether this is the cause of the observed CI hangs, but it's worth fixing anyway. (cherry picked from commit 9a16119)
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    (cherry picked from commit 6c02a21)
(cherry picked from commit 25a2c88)
…iaLang#57776)" This reverts commit be5bc79.
…s from packages succeed # Conflicts: # VERSION
Prevent transparent huge pages (THP) overallocating pysical memory. Co-authored-by: Adnan Alhomssi <adnan.alhomssi@relational.ai>
Prepend `[signal (X) ]thread (Y) ` to each backtrace line that is displayed. Co-authored-by: Diogo Netto <61364108+d-netto@users.noreply.github.com>
Also show the signal number when we have it.
Alternative to JuliaLang#58146. We want to compile a subset of the possible specializations of a function. To this end, we have a number of manually written `precompile` statements. Creating this list is, unfortunately, error-prone, and the list is also liable to going stale. Thus we'd like to validate each `precompile` statement in the list. The simple answer is, of course, to actually run the `precompile`s, and we naturally do so, but this takes time. We would like a relatively quick way to check the validity of a `precompile` statement. This is a dev-loop optimization, to allow us to check "is-precompilable" in unit tests. We can't use `hasmethod` as it has both false positives (too loose): ```julia julia> hasmethod(sum, (AbstractVector,)) true julia> precompile(sum, (AbstractVector,)) false julia> Base.isprecompilable(sum, (AbstractVector,)) # <- this PR false ``` and also false negatives (too strict): ```julia julia> bar(@nospecialize(x::AbstractVector{Int})) = 42 bar (generic function with 1 method) julia> hasmethod(bar, (AbstractVector,)) false julia> precompile(bar, (AbstractVector,)) true julia> Base.isprecompilable(bar, (AbstractVector,)) # <- this PR true ``` We can't use `hasmethod && isconcretetype` as it has false negatives (too strict): ```julia julia> has_concrete_method(f, argtypes) = all(isconcretetype, argtypes) && hasmethod(f, argtypes) has_concrete_method (generic function with 1 method) julia> has_concrete_method(bar, (AbstractVector,)) false julia> has_concrete_method(convert, (Type{Int}, Int32)) false julia> precompile(convert, (Type{Int}, Int32)) true julia> Base.isprecompilable(convert, (Type{Int}, Int32)) # <- this PR true ``` `Base.isprecompilable` is essentially `precompile` without the actual compilation.
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    | This PR is stale because it has been open 30 days with no activity. Comment or remove stale label, or this PR will be closed in 5 days. | 
This reverts commit 9a42d18.
  
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See also RAICode PR https://github.com/RelationalAI/raicode/pull/22602/commits