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# Run the verifier in the current world (before modifications), so that error # messages and types print in their usual way. Core.Compiler._verify_trim_world_age[] = Base.get_world_counter() # Initialize some things not usually initialized when output is requested Sys.__init__() Base.init_depot_path() Base.init_load_p...
This should be an `IdSet{Any}`.
# Initialize some things not usually initialized when output is requested Sys.__init__() Base.reinit_stdio() Base.init_depot_path() Base.init_load_path() Base.init_active_project() task = current_task() task.rngState0 = 0x5156087469e170ab task.rngState1 = 0x7431eaead385992c task.rngState2 = 0x503e1d32781c2608 task.rngS...
@@ -27,6 +27,30 @@ if Base.JLOptions().trim != 0 include(joinpath(@__DIR__, "juliac-trim-base.jl")) end +const C_friendly_types = Union{ # a few of these are redundant to make it easier to maintain
contrib/juliac/juliac-buildscript.jl
26
Julia
0.286
suggestion
31
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
JeffBezanson
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: # Run the verifier in the current world (before modifications), so that error # messages and types print in their usual way. Core.Compiler._verify_trim_...
This should be an `IdSet{Any}`.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
if Base.get_bool_env("JULIA_USE_FLISP_PARSER", false) === false Base.JuliaSyntax.enable_in_core!() end if Base.JLOptions().trim != 0 include(joinpath(@__DIR__, "juliac-trim-base.jl")) end const C_friendly_types = Union{ # a few of these are redundant to make it easier to maintain Int8, Int16, Int32, In...
For e.g. C, we'll have to do our own name mangling to handle parameters, or maybe just disallow them. Either way the parameters don't really matter here and don't need to be c-compatible.
include(joinpath(@__DIR__, "abi_export.jl")) # Load user code import Base.Experimental.entrypoint # for use as C main if needed function _main(argc::Cint, argv::Ptr{Ptr{Cchar}})::Cint args = ccall(:jl_set_ARGS, Any, (Cint, Ptr{Ptr{Cchar}}), argc, argv)::Vector{String} setglobal!(Base, :PROGRAM_FILE, args[1]...
@@ -27,6 +27,30 @@ if Base.JLOptions().trim != 0 include(joinpath(@__DIR__, "juliac-trim-base.jl")) end +const C_friendly_types = Union{ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, Cint, Cshort...
contrib/juliac/juliac-buildscript.jl
26
Julia
0.5
suggestion
187
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
JeffBezanson
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: if Base.get_bool_env("JULIA_USE_FLISP_PARSER", false) === false Base.JuliaSyntax.enable_in_core!() end if Base.JLOptions().trim != 0 include(jo...
For e.g. C, we'll have to do our own name mangling to handle parameters, or maybe just disallow them. Either way the parameters don't really matter here and don't need to be c-compatible.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
entrypoint(_main, (Cint, Ptr{Ptr{Cchar}})) Base._ccallable("main", Cint, Tuple{typeof(_main), Cint, Ptr{Ptr{Cchar}}}) else error("`@main` must accept a `Vector{String}` argument.") end else error("To ...
Would be good to move this to a function.
# Export info about entrypoints and structs needed to create header files if length(ARGS) >= 4 abi_export = ARGS[4] open(abi_export, "w") do io write_abi_metadata(io) end end end # Run the verifier in the current world (before build-script modifications), # so that erro...
@@ -73,6 +96,43 @@ let mod = Base.include(Main, ARGS[1]) if ARGS[3] == "true" ccall(:jl_add_ccallable_entrypoints, Cvoid, ()) end + + # Export info about entrypoints and structs needed to create header files + if length(ARGS) >= 4 + logfile = ARGS[4] + iotmp = IOBuffer() + ...
contrib/juliac/juliac-buildscript.jl
26
Julia
0.143
refactor
41
51
34
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
JeffBezanson
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: entrypoint(_main, (Cint, Ptr{Ptr{Cchar}})) Base._ccallable("main", Cint, Tuple{typeof(_main), Cint, Ptr{Ptr{Ccha...
Would be good to move this to a function.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, Cvoid, Cint, Cshort, Clong, Cuint, Cushort, Culong, Cssize_t, Csize_t, Cchar, Cwchar_t, Cstring, Cwstring, Raw...
My KISS instinct would be to use a standard serialization format like JSON to print out the type information Also do we need the `offset` info? No problem with adding it so I'm mostly asking for understanding - IIUC the offsets should be implied by the C ABI on a particular platform
# for use as C main if needed function _main(argc::Cint, argv::Ptr{Ptr{Cchar}})::Cint args = ccall(:jl_set_ARGS, Any, (Cint, Ptr{Ptr{Cchar}}), argc, argv)::Vector{String} setglobal!(Base, :PROGRAM_FILE, args[1]) popfirst!(args) append!(Base.ARGS, args) return Main.main(args) end let include_result...
@@ -27,6 +27,62 @@ if Base.JLOptions().trim != 0 include(joinpath(@__DIR__, "juliac-trim-base.jl")) end +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, C...
contrib/juliac/juliac-buildscript.jl
26
Julia
0.786
suggestion
286
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
topolarity
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: end const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain Int8, Int16, Int32, Int64, UInt8, UI...
My KISS instinct would be to use a standard serialization format like JSON to print out the type information Also do we need the `offset` info? No problem with adding it so I'm mostly asking for understanding - IIUC the offsets should be implied by the C ABI on a particular platform
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
Base.visit(Core.GlobalMethods) do method if isdefined(method, :ccallable) rt, sig = method.ccallable name = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name print(IOContext(iotmp, :print_method_signature_only => true), method) methodstr...
Can we make this a `--export-abi build.json` (or other name - open to bikeshedding) instead of a positional arg?
if !have_cmain if Base.should_use_main_entrypoint() if hasmethod(Main.main, Tuple{Vector{String}}) entrypoint(_main, (Cint, Ptr{Ptr{Cchar}})) Base._ccallable("main", Cint, Tuple{typeof(_main), Cint, Ptr{Ptr{Cchar}}}) else ...
@@ -73,6 +129,14 @@ let mod = Base.include(Main, ARGS[1]) if ARGS[3] == "true" ccall(:jl_add_ccallable_entrypoints, Cvoid, ()) end + + # Export info about entrypoints and structs needed to create header files + if length(ARGS) >= 4
contrib/juliac/juliac-buildscript.jl
26
Julia
0.571
question
112
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
topolarity
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: Base.visit(Core.GlobalMethods) do method if isdefined(method, :ccallable) rt, sig = method.ccallable name = length(m...
Can we make this a `--export-abi build.json` (or other name - open to bikeshedding) instead of a positional arg?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
task.rngState4 = 0x5502376d099035ae uuid_tuple = (UInt64(0), UInt64(0)) ccall(:jl_set_module_uuid, Cvoid, (Any, NTuple{2, UInt64}), Base.__toplevel__, uuid_tuple) if Base.get_bool_env("JULIA_USE_FLISP_PARSER", false) === false Base.JuliaSyntax.enable_in_core!() end if Base.JLOptions().trim != 0 include(joinpat...
```suggestion while T <: Ptr T = T.parameters[1] # unwrap Ptr{...} end if T.name.module === Core && T ∉ C_friendly_types error("invalid type for juliac: ", T) # exclude internals (they may change) end push!(types, T) ``` Mostly just to make the logic more direct, but there...
if Base.get_bool_env("JULIA_USE_FLISP_PARSER", false) === false Base.JuliaSyntax.enable_in_core!() end include(joinpath(@__DIR__, "abi_export.jl")) # Load user code import Base.Experimental.entrypoint # for use as C main if needed function _main(argc::Cint, argv::Ptr{Ptr{Cchar}})::Cint args = ccall(:jl_set_...
@@ -27,6 +27,62 @@ if Base.JLOptions().trim != 0 include(joinpath(@__DIR__, "juliac-trim-base.jl")) end +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, C...
contrib/juliac/juliac-buildscript.jl
26
Julia
1
suggestion
632
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
topolarity
timholy
Review this pull request change. Language: Julia File: contrib/juliac/juliac-buildscript.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: task.rngState4 = 0x5502376d099035ae uuid_tuple = (UInt64(0), UInt64(0)) ccall(:jl_set_module_uuid, Cvoid, (Any, NTuple{2, UInt64}), Base.__toplevel__, u...
```suggestion while T <: Ptr T = T.parameters[1] # unwrap Ptr{...} end if T.name.module === Core && T ∉ C_friendly_types error("invalid type for juliac: ", T) # exclude internals (they may change) end push!(types, T) ``` Mostly just to make the logic more direct, but there...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
struct MyTwoVec x::Int32 y::Int32 end Base.@ccallable "copyto_and_sum" function badname(fromto::CVectorPair{Float32})::Float32 from, to = unsafe_wrap(Array, fromto.from.data, fromto.from.length), unsafe_wrap(Array, fromto.to.data, fromto.to.length) copyto!(to, from) return sum(to) end Base.@ccalla...
Two slightly advanced (but important) features: - `Ref{...}` should be supported in addition to `Ptr{...}` - function pointers are just `Ptr{Cvoid}` ABI-wise but for C to be able to call them, we do need to export type definitions for them
struct MyTwoVec x::Int32 y::Int32 end struct CTree{T} # test that recursive datatypes work as expected children::CVector{CTree{T}} end Base.@ccallable "tree_size" function size(tree::CTree{Float64})::Int64 children = unsafe_wrap(Array, tree.children.data, tree.children.length) # Return the siz...
@@ -0,0 +1,44 @@ +module SimpleLib +# Test the logging of entrypoints and types in a C-callable Julia library. + +struct CVector{T} + length::Cint + data::Ptr{T} +end + +struct CVectorPair{T} + from::CVector{T} + to::CVector{T} +end + +struct MyTwoVec + x::Int32 + y::Int32 +end + +Base.@ccallable "cop...
test/trimming/libsimple.jl
26
Julia
0.786
suggestion
245
32
46
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
topolarity
timholy
Review this pull request change. Language: Julia File: test/trimming/libsimple.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: struct MyTwoVec x::Int32 y::Int32 end Base.@ccallable "copyto_and_sum" function badname(fromto::CVectorPair{Float32})::Float32 from, to = unsafe_wrap...
Two slightly advanced (but important) features: - `Ref{...}` should be supported in addition to `Ptr{...}` - function pointers are just `Ptr{Cvoid}` ABI-wise but for C to be able to call them, we do need to export type definitions for them
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
(name, symbol) = let symbol = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name iob = IOBuffer() print(IOContext(iob, :print_method_signature_only => true), method) str = String(take!(iob)) if symbol !== method.name && startswith(str, String(method.name...
Should this be `typeid` or `type_id` instead of just `type`? I don't feel strongly about this, but I suspect it might be clearer that it's a reference within the json file.
function emit_method_info!(ctx::TypeEmitter, method::Core.Method; indent::Int = 0) (rt, sig) = method.ccallable (name, symbol) = let symbol = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name iob = IOBuffer() print(IOContext(iob, :print_method_signature_only => tru...
@@ -0,0 +1,219 @@ +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, Cint, Cshort, Clong, Cuint, Cushort, Culong, Cssize_t, Csize_t, + Cchar, Cwchar_t, Cstring, ...
contrib/juliac/abi_export.jl
26
Julia
0.714
suggestion
172
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
timholy
timholy
Review this pull request change. Language: Julia File: contrib/juliac/abi_export.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: (name, symbol) = let symbol = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name iob = IOBuffer() print(IOCont...
Should this be `typeid` or `type_id` instead of just `type`? I don't feel strongly about this, but I suspect it might be clearer that it's a reference within the json file.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end function emit_method_info!(ctx::TypeEmitter, method::Core.Method; indent::Int = 0) (rt, sig) = method.ccallable (name, symbol) = let symbol = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name iob = IOBuffer() print(IOContext(iob, :print_method_signature_only =...
Maybe call this `julia_signature` instead of `name`? The latter seems too generic.
emit_struct_info!(ctx, dt; indent) end end function emit_method_info!(ctx::TypeEmitter, method::Core.Method; indent::Int = 0) (rt, sig) = method.ccallable (name, symbol) = let symbol = length(method.ccallable) > 2 ? Symbol(method.ccallable[3]) : method.name iob = IOBuffer() ...
@@ -0,0 +1,219 @@ +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, Cint, Cshort, Clong, Cuint, Cushort, Culong, Cssize_t, Csize_t, + Cchar, Cwchar_t, Cstring, ...
contrib/juliac/abi_export.jl
26
Julia
0.429
suggestion
82
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
timholy
timholy
Review this pull request change. Language: Julia File: contrib/juliac/abi_export.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: end function emit_method_info!(ctx::TypeEmitter, method::Core.Method; indent::Int = 0) (rt, sig) = method.ccallable (name, symbol) = let symbol...
Maybe call this `julia_signature` instead of `name`? The latter seems too generic.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return escape_string_json(name) end function emit_pointer_info!(ctx::TypeEmitter, @nospecialize(dt::DataType); indent::Int = 0) pointee_type_id = ctx.type_ids[dt.parameters[1]] let indented_println(args...) = println(ctx.io, " " ^ indent, args...) indented_println("{") indented_println(" \...
Can you add `Base.isfieldatomic` as an optional field
return escape_string_json(name) end function emit_pointer_info!(ctx::TypeEmitter, @nospecialize(dt::DataType); indent::Int = 0) pointee_type_id = ctx.type_ids[dt.parameters[1]] let indented_println(args...) = println(ctx.io, " " ^ indent, args...) indented_println("{") indented_println(" \...
@@ -0,0 +1,219 @@ +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, Cint, Cshort, Clong, Cuint, Cushort, Culong, Cssize_t, Csize_t, + Cchar, Cwchar_t, Cstring, ...
contrib/juliac/abi_export.jl
26
Julia
0.357
suggestion
53
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
vtjnash
timholy
Review this pull request change. Language: Julia File: contrib/juliac/abi_export.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: return escape_string_json(name) end function emit_pointer_info!(ctx::TypeEmitter, @nospecialize(dt::DataType); indent::Int = 0) pointee_type_id = ctx.t...
Can you add `Base.isfieldatomic` as an optional field
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
indented_println("{") indented_println(" \"id\": ", ctx.type_ids[dt], ",") indented_println(" \"kind\": \"pointer\",") indented_println(" \"name\": ", type_name_json(dt), ",") indented_println(" \"pointee_type_id\": ", pointee_type_id) print(ctx.io, " " ^ indent, "}")...
```suggestion indented_println(ismutabletype(dt) ?(" \"kind\": \"mutable struct\",") : " \"kind\": \"struct\",") ```
indented_println("{") indented_println(" \"id\": ", ctx.type_ids[dt], ",") indented_println(" \"kind\": \"pointer\",") indented_println(" \"name\": ", type_name_json(dt), ",") indented_println(" \"pointee_type_id\": ", pointee_type_id) print(ctx.io, " " ^ indent, "}")...
@@ -0,0 +1,219 @@ +const C_friendly_types = Base.IdSet{Any}([ # a few of these are redundant to make it easier to maintain + Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64, Bool, + Cvoid, Cint, Cshort, Clong, Cuint, Cushort, Culong, Cssize_t, Csize_t, + Cchar, Cwchar_t, Cstring, ...
contrib/juliac/abi_export.jl
26
Julia
0.857
suggestion
128
51
51
false
juliac: log entrypoints and nonstandard typedefs
59,108
JuliaLang/julia
35,573
Julia
vtjnash
timholy
Review this pull request change. Language: Julia File: contrib/juliac/abi_export.jl PR Title: juliac: log entrypoints and nonstandard typedefs BEFORE CODE: indented_println("{") indented_println(" \"id\": ", ctx.type_ids[dt], ",") indented_println(" \"kind\": \"pointer\",") indente...
```suggestion indented_println(ismutabletype(dt) ?(" \"kind\": \"mutable struct\",") : " \"kind\": \"struct\",") ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
#----------------------------------------------------------------------- """ @test_throws exception expr Tests that the expression `expr` throws `exception`. The exception may specify either a type, a string, regular expression, or list of strings occurring in the displayed error message, a matching function, or ...
Typo? ```suggestion The three-argument form `@test_throws extype pattern expr` requires Julia v1.13 or later. ```
#----------------------------------------------------------------------- """ @test_throws exception expr @test_throws extype pattern expr Tests that the expression `expr` throws `exception`. The exception may specify either a type, a string, regular expression, or list of strings occurring in the displayed er...
@@ -799,17 +799,29 @@ end """ @test_throws exception expr + @test_throws extype pattern expr Tests that the expression `expr` throws `exception`. The exception may specify either a type, a string, regular expression, or list of strings occurring in the displayed error message, a matching function, or ...
stdlib/Test/src/Test.jl
26
Julia
0.857
suggestion
117
51
51
false
Test: `@test_throws` add 3-arg form for testing exception type and message
59,117
JuliaLang/julia
35,573
Julia
christiangnrd
IanButterworth
Review this pull request change. Language: Julia File: stdlib/Test/src/Test.jl PR Title: Test: `@test_throws` add 3-arg form for testing exception type and message BEFORE CODE: #----------------------------------------------------------------------- """ @test_throws exception expr Tests that the expression `e...
Typo? ```suggestion The three-argument form `@test_throws extype pattern expr` requires Julia v1.13 or later. ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# Get file list from ARGS if provided, otherwise use git ls-files errors = Set{Tuple{String,Int,String}}() files_to_check = filter(arg -> arg != "--fix", ARGS) if isempty(files_to_check) files_to_check = eachline(`git ls-files -- $patterns`) end files_fixed = 0 for path in files_to_...
Ok, but a little bit assymetric with the case below. Would prefer to keep.
errors = Set{Tuple{String,Int,String}}() files_to_check = filter(arg -> arg != "--fix", ARGS) if isempty(files_to_check) files_to_check = eachline(`git ls-files -- $patterns`) end files_fixed = 0 if "--fix" in ARGS for path in files_to_check content = newcontent = re...
@@ -59,7 +87,6 @@ function check_whitespace() if isempty(errors) println(stderr, "Whitespace check found no issues.") - exit(0)
contrib/check-whitespace.jl
26
Julia
0.286
suggestion
74
51
51
false
build: add --fix option for check-whitespace
59,118
JuliaLang/julia
35,573
Julia
Keno
vtjnash
Review this pull request change. Language: Julia File: contrib/check-whitespace.jl PR Title: build: add --fix option for check-whitespace BEFORE CODE: # Get file list from ARGS if provided, otherwise use git ls-files errors = Set{Tuple{String,Int,String}}() files_to_check = filter(arg -> arg != "--fix",...
Ok, but a little bit assymetric with the case below. Would prefer to keep.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return indirect_deps end # this loop must be run after the full direct_deps map has been populated indirect_deps = expand_indirect_dependencies(direct_deps) for ext in keys(ext_to_parent) ext_loadable_in_pkg = Dict{Base.PkgId,Bool}() for pkg in keys(direct_deps) is_t...
SGTM ```suggestion if _from_loading ```
return indirect_deps end # this loop must be run after the full direct_deps map has been populated indirect_deps = expand_indirect_dependencies(direct_deps) for ext in keys(ext_to_parent) ext_loadable_in_pkg = Dict{Base.PkgId,Bool}() for pkg in keys(direct_deps) is_t...
@@ -630,15 +649,28 @@ function _precompilepkgs(pkgs::Vector{String}, end @debug "precompile: extensions collected" + serial_deps = Base.PkgId[] # packages that are being precompiled in serial + + if _from_loading && !isempty(requested_pkgs)
base/precompilation.jl
26
Julia
0.429
suggestion
46
51
51
false
Precompile out of env deps in serial within precompilepkgs
59,122
JuliaLang/julia
35,573
Julia
vtjnash
IanButterworth
Review this pull request change. Language: Julia File: base/precompilation.jl PR Title: Precompile out of env deps in serial within precompilepkgs BEFORE CODE: return indirect_deps end # this loop must be run after the full direct_deps map has been populated indirect_deps = expand_indirect_depe...
SGTM ```suggestion if _from_loading ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# restrict to dependencies of given packages function collect_all_deps(direct_deps, dep, alldeps=Set{Base.PkgId}()) for _dep in direct_deps[dep] if !(_dep in alldeps) push!(alldeps, _dep) collect_all_deps(direct_deps, _dep, alldeps) end end return alldeps end funct...
String interpolation is strongly frowned upon since it has terrible formatting and performance ```suggestion @debug "precompilepkgs called with" pkgs internal_call strict warn_loaded timing _from_loading configs fancyprint manifest ignore_loaded ```
# restrict to dependencies of given packages function collect_all_deps(direct_deps, dep, alldeps=Set{Base.PkgId}()) for _dep in direct_deps[dep] if !(_dep in alldeps) push!(alldeps, _dep) collect_all_deps(direct_deps, _dep, alldeps) end end return alldeps end funct...
@@ -468,6 +483,7 @@ function precompilepkgs(pkgs::Vector{String}=String[]; fancyprint::Bool = can_fancyprint(io) && !timing, manifest::Bool=false, ignore_loaded::Bool=true) + @debug "precompilepkgs called with: pkgs=$(pkgs), internal_call=$(i...
base/precompilation.jl
26
Julia
0.929
bug
256
51
51
false
Precompile out of env deps in serial within precompilepkgs
59,122
JuliaLang/julia
35,573
Julia
vtjnash
IanButterworth
Review this pull request change. Language: Julia File: base/precompilation.jl PR Title: Precompile out of env deps in serial within precompilepkgs BEFORE CODE: # restrict to dependencies of given packages function collect_all_deps(direct_deps, dep, alldeps=Set{Base.PkgId}()) for _dep in direct_deps[dep] ...
String interpolation is strongly frowned upon since it has terrible formatting and performance ```suggestion @debug "precompilepkgs called with" pkgs internal_call strict warn_loaded timing _from_loading configs fancyprint manifest ignore_loaded ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# `COMPLETION_WORLD[]` will be initialized within `__init__` # (to allow us to potentially remove REPL from the sysimage in the future). # Note that inference from the `code_typed` call below will use the current world age # rather than `typemax(UInt)`, since `Base.invoke_in_world` uses the current world age # when the...
The special-casing of the `do` block makes me slightly nervous and I wonder if a more general solution would be possible (at the juliacon hackathon you mentioned the option of reading just up to position for the purpose of completion, but that also has drawbacks), but I could confirm this fixes the issue (as confirmed ...
# `COMPLETION_WORLD[]` will be initialized within `__init__` # (to allow us to potentially remove REPL from the sysimage in the future). # Note that inference from the `code_typed` call below will use the current world age # rather than `typemax(UInt)`, since `Base.invoke_in_world` uses the current world age # when the...
@@ -692,6 +692,15 @@ code_typed(CC.typeinf, (REPLInterpreter, CC.InferenceState)) MAX_METHOD_COMPLETIONS::Int = 40 function _complete_methods(ex_org::Expr, context_module::Module, shift::Bool) isempty(ex_org.args) && return 2, nothing, [], Set{Symbol}() + # Desugar do block call into call with lambda + if ...
stdlib/REPL/src/REPLCompletions.jl
26
Julia
0.643
suggestion
366
51
51
false
[REPL] Fix keyword arguments completions with do block
59,123
JuliaLang/julia
35,573
Julia
giordano
xal-0
Review this pull request change. Language: Julia File: stdlib/REPL/src/REPLCompletions.jl PR Title: [REPL] Fix keyword arguments completions with do block BEFORE CODE: # `COMPLETION_WORLD[]` will be initialized within `__init__` # (to allow us to potentially remove REPL from the sysimage in the future). # Note that...
The special-casing of the `do` block makes me slightly nervous and I wonder if a more general solution would be possible (at the juliacon hackathon you mentioned the option of reading just up to position for the purpose of completion, but that also has drawbacks), but I could confirm this fixes the issue (as confirmed ...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
and in the false branch, it will be limited by `cnd.elsetype`. Example: ```julia let cond = isa(x::Union{Int, Float}, Int)::Conditional(x, Int, Float) if cond # May assume x is `Int` now else # May assume x is `Float` now end end ``` """ struct Conditional slot::Int thentype elsety...
Technically this is required to be a LimitedAccuracy(Bool) to prevent caching the bad result (same everywhere in this PR)
and in the false branch, it will be limited by `cnd.elsetype`. Example: ```julia let cond = isa(x::Union{Int, Float}, Int)::Conditional(x, Int, Float) if cond # May assume x is `Int` now else # May assume x is `Float` now end end ``` """ struct Conditional slot::Int thentype elsety...
@@ -40,6 +40,9 @@ struct Conditional isdefined::Bool=false) assert_nested_slotwrapper(thentype) assert_nested_slotwrapper(elsetype) + if thentype isa LimitedAccuracy || elsetype isa LimitedAccuracy + return Bool
Compiler/src/typelattice.jl
26
Julia
0.357
suggestion
121
51
51
false
inference: avoid `LimitedAccuracy` within slot wrappers
59,182
JuliaLang/julia
35,573
Julia
vtjnash
aviatesk
Review this pull request change. Language: Julia File: Compiler/src/typelattice.jl PR Title: inference: avoid `LimitedAccuracy` within slot wrappers BEFORE CODE: and in the false branch, it will be limited by `cnd.elsetype`. Example: ```julia let cond = isa(x::Union{Int, Float}, Int)::Conditional(x, Int, Float) ...
Technically this is required to be a LimitedAccuracy(Bool) to prevent caching the bad result (same everywhere in this PR)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
load_le_array(UInt64, arr, firstidx + pos + 8) ⊻ seed ) if i > 32 seed = hash_mix( load_le_array(UInt64, arr, firstidx + pos + 16) ⊻ secret[3], load_le_array(UInt64, arr, firstidx + pos + 24) ⊻ seed ) ...
```suggestion shift_bits = (shift_bytes * 8) & 63 ``` looks like it helps a little bit, a la https://github.com/JuliaLang/julia/issues/30674 on a length-10 generator I see like 12ns vs 10ns
load_le_array(UInt64, arr, firstidx + pos + 8) ⊻ seed ) if i > 32 seed = hash_mix( load_le_array(UInt64, arr, firstidx + pos + 16) ⊻ secret[3], load_le_array(UInt64, arr, firstidx + pos + 24) ⊻ seed ) ...
@@ -344,6 +344,293 @@ load_le(::Type{T}, ptr::Ptr{UInt8}, i) where {T <: Union{UInt32, UInt64}} = return hash_mix(a ⊻ secret[4], b ⊻ secret[2] ⊻ i) end +@inline function load_le_array(::Type{UInt64}, arr::AbstractArray{UInt8}, idx) + # n.b. for whatever reason, writing this as a loop ensures LLVM + # opti...
base/hashing.jl
26
Julia
0.786
suggestion
201
51
51
false
add safer, more versatile version of rapidhash for any array and for any iterable
59,185
JuliaLang/julia
35,573
Julia
adienes
vtjnash
Review this pull request change. Language: Julia File: base/hashing.jl PR Title: add safer, more versatile version of rapidhash for any array and for any iterable BEFORE CODE: load_le_array(UInt64, arr, firstidx + pos + 8) ⊻ seed ) if i > 32 seed = hash_mix( ...
```suggestion shift_bits = (shift_bytes * 8) & 63 ``` looks like it helps a little bit, a la https://github.com/JuliaLang/julia/issues/30674 on a length-10 generator I see like 12ns vs 10ns
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
see1 = seed see2 = seed l0 = zero(UInt64) l1 = zero(UInt64) l2 = zero(UInt64) l3 = zero(UInt64) l4 = zero(UInt64) l5 = zero(UInt64) b0 = 0 b1 = 0 b2 = 0 b3 = 0 b4 = 0 b5 = 0 t0 = zero(UInt64) t1 = zero(UInt64) # Handle first iteration separately ...
Making these >= might give an even faster result then? It was slightly annoying to come up with a form for this that was not too repetitive but fairly good, and llvm seemed confused that b1<=8 from the previous loop, so it doesn't jump thread it right
t1 = zero(UInt64) # Handle first iteration separately read = read_uint64_from_uint8_iter(iter) if read !== nothing l0, state, b0 = read # Repeat hashing chunks until a short read while true l1, state, b1 = read_uint64_from_uint8_iter(iter, state) if b1 ==...
@@ -344,6 +344,293 @@ load_le(::Type{T}, ptr::Ptr{UInt8}, i) where {T <: Union{UInt32, UInt64}} = return hash_mix(a ⊻ secret[4], b ⊻ secret[2] ⊻ i) end +@inline function load_le_array(::Type{UInt64}, arr::AbstractArray{UInt8}, idx) + # n.b. for whatever reason, writing this as a loop ensures LLVM + # opti...
base/hashing.jl
26
Julia
0.643
suggestion
251
51
51
false
add safer, more versatile version of rapidhash for any array and for any iterable
59,185
JuliaLang/julia
35,573
Julia
vtjnash
vtjnash
Review this pull request change. Language: Julia File: base/hashing.jl PR Title: add safer, more versatile version of rapidhash for any array and for any iterable BEFORE CODE: see1 = seed see2 = seed l0 = zero(UInt64) l1 = zero(UInt64) l2 = zero(UInt64) l3 = zero(UInt64) l4 = zero(UInt6...
Making these >= might give an even faster result then? It was slightly annoying to come up with a form for this that was not too repetitive but fairly good, and llvm seemed confused that b1<=8 from the previous loop, so it doesn't jump thread it right
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license ##################### # structs/constants # ##################### # N.B.: Const/PartialStruct/InterConditional are defined in Core, to allow them to be used # inside the global code cache. import Core: Const, InterConditional, PartialStruct...
Lgtm. As a followup improvement, note that this actually should be intersect for more accuracy, which we could implement by changing causes to a number (the frame/cycle id) and use min/max on that
# This file is a part of Julia. License is MIT: https://julialang.org/license ##################### # structs/constants # ##################### # N.B.: Const/PartialStruct/InterConditional are defined in Core, to allow them to be used # inside the global code cache. import Core: Const, InterConditional, PartialStruct...
@@ -8,6 +8,19 @@ # inside the global code cache. import Core: Const, InterConditional, PartialStruct +function may_form_limited_typ(@nospecialize(aty), @nospecialize(bty), @nospecialize(xty)) + if aty isa LimitedAccuracy + if bty isa LimitedAccuracy + return LimitedAccuracy(xty, union!(copy(aty...
Compiler/src/typelattice.jl
14
Julia
0.429
suggestion
196
39
39
false
inference: propagate more `LimitedAccuracy` information
59,187
JuliaLang/julia
35,573
Julia
vtjnash
aviatesk
Review this pull request change. Language: Julia File: Compiler/src/typelattice.jl PR Title: inference: propagate more `LimitedAccuracy` information BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license ##################### # structs/constants # ##################### # N.B.: ...
Lgtm. As a followup improvement, note that this actually should be intersect for more accuracy, which we could implement by changing causes to a number (the frame/cycle id) and use min/max on that
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@test nth(cycle_size_unknown, 20) == 9 # mod1(20, 5) = 5, wraps 4 times @test nth(finite_cycle_size_unknown, 2) == 3 @test nth(finite_cycle_size_unknown, 20) == 9 @test_throws BoundsError nth(finite_cycle_size_unknown, 30) # only wraps 5 times, max n is 5 * 5 = 25 end @testset "Iterators docstrings" be...
``` isdefined(Main, :OffsetArrays) || @eval Main include("testhelpers/OffsetArrays.jl") using .Main.OffsetArrays ``` is a pattern used in many test suites to get `OffsetArrays` in Base tests (put at the top
cycle_size_unknown = Iterators.cycle(it_size_unknown) finite_cycle_size_unknown = Iterators.cycle(it_size_unknown, 5) @test nth(cycle_size_unknown, 2) == 3 @test nth(cycle_size_unknown, 20) == 9 # mod1(20, 5) = 5, wraps 4 times @test nth(finite_cycle_size_unknown, 2) == 3 @test nth(finite_cycle_...
@@ -1206,3 +1204,18 @@ end @test Base.infer_return_type((Vector{Any},)) do xs [x for x in xs if x isa Int] end == Vector{Int} + +@testset "issue #58922" begin + # `last` short circuits correctly + @test last(zip(1:10, 2:11)) == (10, 11) # same length + @test last(zip(1:3, 2:11)) == (3, 4) # differe...
test/iterators.jl
26
Julia
0.857
refactor
212
30
41
false
Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types
59,217
JuliaLang/julia
35,573
Julia
adienes
jakewilliami
Review this pull request change. Language: Julia File: test/iterators.jl PR Title: Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types BEFORE CODE: @test nth(cycle_size_unknown, 20) == 9 # mod1(20, 5) = 5, wraps 4 times @test nth(finite_cycle_size_unknown, 2) == 3 @test nth(f...
``` isdefined(Main, :OffsetArrays) || @eval Main include("testhelpers/OffsetArrays.jl") using .Main.OffsetArrays ``` is a pattern used in many test suites to get `OffsetArrays` in Base tests (put at the top
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLength}, itr::Flatten{Take{Repeated{O}}}, n::Integer) where {O} cycles = itr.it.n torepeat = itr.it.xs.x k = length(torepeat) (n > k*cycles || k == 0) && throw(BoundsError(i...
```suggestion _nth(::Union{HasShape, HasLength}, z::Zip, n::Integer) = Base.map(nth(n), z.is) ```
# Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLength}, itr::Flatten{Take{Repeated{O}}}, n::Integer) where {O} cycles = itr.it.n torepeat = itr.it.xs.x k = length(torepeat) (n > k*cycles || k == 0) && throw(BoundsError(i...
@@ -1700,6 +1701,10 @@ function _nth(::IteratorSize, itr, n::Integer) y === nothing && throw(BoundsError(itr, n)) y[1] end + +# issue #58922 +_nth(::Union{HasShape, HasLength}, z::Zip, n::Integer) = map(nth(n), z.is)
base/iterators.jl
26
Julia
0.571
suggestion
99
50
49
false
Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types
59,217
JuliaLang/julia
35,573
Julia
adienes
jakewilliami
Review this pull request change. Language: Julia File: base/iterators.jl PR Title: Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types BEFORE CODE: # Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLength}, ...
```suggestion _nth(::Union{HasShape, HasLength}, z::Zip, n::Integer) = Base.map(nth(n), z.is) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end # Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLength}, itr::Flatten{Take{Repeated{O}}}, n::Integer) where {O} cycles = itr.it.n torepeat = itr.it.xs.x k = length(torepeat) (n > k*cycles || k == 0) && throw(BoundsErr...
```suggestion ``` this specialization is reasonable to add no matter the motivating issue :)
end # Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLength}, itr::Flatten{Take{Repeated{O}}}, n::Integer) where {O} cycles = itr.it.n torepeat = itr.it.xs.x k = length(torepeat) (n > k*cycles || k == 0) && throw(BoundsErr...
@@ -1700,6 +1701,10 @@ function _nth(::IteratorSize, itr, n::Integer) y === nothing && throw(BoundsError(itr, n)) y[1] end + +# issue #58922
base/iterators.jl
26
Julia
0.571
suggestion
96
51
50
false
Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types
59,217
JuliaLang/julia
35,573
Julia
adienes
jakewilliami
Review this pull request change. Language: Julia File: base/iterators.jl PR Title: Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types BEFORE CODE: end # Flatten{Take{Repeated{O}}} is the actual type of an Iterators.cycle(iterable::O, m) iterator function _nth(::Union{HasShape, HasLengt...
```suggestion ``` this specialization is reasonable to add no matter the motivating issue :)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ds...)) end _zip_isdone(::Tuple{}, ::Tuple{}) = (false, ()) IteratorSize(::Type{Zip{Is}}) where {Is<:Tuple} = zip_iteratorsize(ntuple(n -> IteratorSize(fieldtype(Is, n)), _counttuple(Is)::Int)...) IteratorElt...
Changing `getindex.(z.is, minimum(Base.map(lastindex, z.is)))` to `nth(z, length(z))` is a clear win and an easy merge. Thanks!
d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ds...)) end _zip_isdone(::Tuple{}, ::Tuple{}) = (false, ()) IteratorSize(::Type{Zip{Is}}) where {Is<:Tuple} = zip_iteratorsize(ntuple(n -> IteratorSize(fieldtype(Is, n)), _counttuple(Is)::Int)...) IteratorElt...
@@ -473,7 +473,12 @@ zip_iteratoreltype() = HasEltype() zip_iteratoreltype(a) = a zip_iteratoreltype(a, tail...) = and_iteratoreltype(a, zip_iteratoreltype(tail...)) -last(z::Zip) = getindex.(z.is, minimum(Base.map(lastindex, z.is))) +function last(z::Zip) + IteratorSize(z) == SizeUnknown() && + throw(Arg...
base/iterators.jl
26
Julia
0.5
suggestion
132
51
51
false
Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types
59,217
JuliaLang/julia
35,573
Julia
LilithHafner
jakewilliami
Review this pull request change. Language: Julia File: base/iterators.jl PR Title: Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types BEFORE CODE: d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ds...)) end _zip_isdone(::Tup...
Changing `getindex.(z.is, minimum(Base.map(lastindex, z.is)))` to `nth(z, length(z))` is a clear win and an easy merge. Thanks!
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
function _zip_isdone(is, ss) d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ds...)) end _zip_isdone(::Tuple{}, ::Tuple{}) = (false, ()) IteratorSize(::Type{Zip{Is}}) where {Is<:Tuple} = zip_iteratorsize(ntuple(n -> IteratorSize(fieldtype(Is, n)), _counttu...
This is breaking. It might be only slightly breaking but even then it would need to be well justified. (`SizeUnknown` does not guarantee that length will throw)
function _zip_isdone(is, ss) d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ds...)) end _zip_isdone(::Tuple{}, ::Tuple{}) = (false, ()) IteratorSize(::Type{Zip{Is}}) where {Is<:Tuple} = zip_iteratorsize(ntuple(n -> IteratorSize(fieldtype(Is, n)), _counttu...
@@ -473,7 +473,12 @@ zip_iteratoreltype() = HasEltype() zip_iteratoreltype(a) = a zip_iteratoreltype(a, tail...) = and_iteratoreltype(a, zip_iteratoreltype(tail...)) -last(z::Zip) = getindex.(z.is, minimum(Base.map(lastindex, z.is))) +function last(z::Zip) + IteratorSize(z) == SizeUnknown() && + throw(Arg...
base/iterators.jl
26
Julia
0.5
suggestion
160
51
51
false
Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types
59,217
JuliaLang/julia
35,573
Julia
LilithHafner
jakewilliami
Review this pull request change. Language: Julia File: base/iterators.jl PR Title: Fix inconsistent behaviour for `last(::Zip)` with differing iterator size types BEFORE CODE: function _zip_isdone(is, ss) d = isdone(is[1], ss[1]...) d´, ds = _zip_isdone(tail(is), tail(ss)) return (d === true || d´, (d, ...
This is breaking. It might be only slightly breaking but even then it would need to be well justified. (`SizeUnknown` does not guarantee that length will throw)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
// Get handle to sys.so return jl_set_sysimg_so(jl_load_dynamic_library(fname, JL_RTLD_LOCAL | JL_RTLD_NOW, 1)); } } typedef void jl_image_unpack_func_t(void *handle, jl_image_buf_t *image); JL_DLLEXPORT void jl_image_unpack_uncomp(void *handle, jl_image_buf_t *image) { size_t *plen; jl_dl...
We probably want to mmap this with huge pages/large pages
return jl_sysimage_buf; } else { // Get handle to sys.so return jl_set_sysimg_so(jl_load_dynamic_library(fname, JL_RTLD_LOCAL | JL_RTLD_NOW, 1)); } } typedef void jl_image_unpack_func_t(void *handle, jl_image_buf_t *image); static void jl_prefetch_system_image(const char *data, size_t ...
@@ -3638,14 +3641,43 @@ JL_DLLEXPORT jl_image_buf_t jl_preload_sysimg(const char *fname) } } -// From a shared library handle, verify consistency and return a jl_image_buf_t -static jl_image_buf_t get_image_buf(void *handle, int is_pkgimage) +typedef void jl_image_unpack_func_t(void *handle, jl_image_buf_t *ima...
src/staticdata.c
26
C
0.214
suggestion
57
51
51
false
System image compression with zstd
59,227
JuliaLang/julia
35,573
Julia
gbaraldi
xal-0
Review this pull request change. Language: C File: src/staticdata.c PR Title: System image compression with zstd BEFORE CODE: // Get handle to sys.so return jl_set_sysimg_so(jl_load_dynamic_library(fname, JL_RTLD_LOCAL | JL_RTLD_NOW, 1)); } } typedef void jl_image_unpack_func_t(void *handle, jl...
We probably want to mmap this with huge pages/large pages
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
JL_OPTIONS_USE_COMPILED_MODULES_YES, JL_OPTIONS_USE_PKGIMAGES_YES, NULL, // bind-to NULL, // output-bc NULL, // output-unopt-bc NULL, // output-o NULL, ...
We should revisit this default, but fine for now
JL_OPTIONS_USE_COMPILED_MODULES_YES, JL_OPTIONS_USE_PKGIMAGES_YES, NULL, // bind-to NULL, // output-bc NULL, // output-unopt-bc NULL, // output-o NULL, ...
@@ -160,6 +160,7 @@ JL_DLLEXPORT void jl_init_options(void) 0, // task_metrics -1, // timeout_for_safepoint_straggler_s 0, // gc_sweep_always_full + 0, // compress_sysimage
src/jloptions.c
26
C
0.143
suggestion
48
51
51
false
System image compression with zstd
59,227
JuliaLang/julia
35,573
Julia
gbaraldi
xal-0
Review this pull request change. Language: C File: src/jloptions.c PR Title: System image compression with zstd BEFORE CODE: JL_OPTIONS_USE_COMPILED_MODULES_YES, JL_OPTIONS_USE_PKGIMAGES_YES, NULL, // bind-to NULL, // ou...
We should revisit this default, but fine for now
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# Issue #57696 # This test checks for invalidation of recursive backedges. However, unfortunately, the original failure # manifestation was an unreliable segfault or an assertion failure, so we don't have a more compact test. @test success(`$(Base.julia_cmd()) -e 'Base.typejoin(x, ::Type) = 0; exit()'`) # Test drop_al...
Needs to test that there is a recompile
# Issue #57696 # This test checks for invalidation of recursive backedges. However, unfortunately, the original failure # manifestation was an unreliable segfault or an assertion failure, so we don't have a more compact test. @test success(`$(Base.julia_cmd()) -e 'Base.typejoin(x, ::Type) = 0; exit()'`) # Test drop_al...
@@ -325,3 +325,26 @@ end # This test checks for invalidation of recursive backedges. However, unfortunately, the original failure # manifestation was an unreliable segfault or an assertion failure, so we don't have a more compact test. @test success(`$(Base.julia_cmd()) -e 'Base.typejoin(x, ::Type) = 0; exit()'`) + ...
Compiler/test/invalidation.jl
26
Julia
0.071
suggestion
39
28
41
false
Drop sysimage caches for --code-coverage=all
59,234
JuliaLang/julia
35,573
Julia
Keno
IanButterworth
Review this pull request change. Language: Julia File: Compiler/test/invalidation.jl PR Title: Drop sysimage caches for --code-coverage=all BEFORE CODE: # Issue #57696 # This test checks for invalidation of recursive backedges. However, unfortunately, the original failure # manifestation was an unreliable segfault ...
Needs to test that there is a recompile
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
if (name == jl_nothing) meth->ccallable = jl_svec2(declrt, (jl_value_t*)sigt); else meth->ccallable = jl_svec3(declrt, (jl_value_t*)sigt, name); jl_gc_wb(meth, meth->ccallable); JL_GC_POP(); } // Drop all method caches and increment world age as if adding a method that intersects everyt...
I'd prefer this be written in julia
if (name == jl_nothing) meth->ccallable = jl_svec2(declrt, (jl_value_t*)sigt); else meth->ccallable = jl_svec3(declrt, (jl_value_t*)sigt, name); jl_gc_wb(meth, meth->ccallable); JL_GC_POP(); } // Drop all method caches and increment world age as if adding a method that intersects everyt...
@@ -5087,6 +5087,71 @@ JL_DLLEXPORT void jl_extern_c(jl_value_t *name, jl_value_t *declrt, jl_tupletype JL_GC_POP(); } +// Drop all method caches and increment world age as if adding a method that intersects everything +static int invalidate_all_specializations(jl_typemap_entry_t *def, void *closure)
src/gf.c
26
C
0.143
suggestion
35
51
51
false
Drop sysimage caches for --code-coverage=all
59,234
JuliaLang/julia
35,573
Julia
Keno
IanButterworth
Review this pull request change. Language: C File: src/gf.c PR Title: Drop sysimage caches for --code-coverage=all BEFORE CODE: if (name == jl_nothing) meth->ccallable = jl_svec2(declrt, (jl_value_t*)sigt); else meth->ccallable = jl_svec3(declrt, (jl_value_t*)sigt, name); jl_gc_wb(meth, ...
I'd prefer this be written in julia
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
} else if (specializations != NULL) { jl_method_instance_t *mi = (jl_method_instance_t*)specializations; invalidate_method_instance_caches(mi, world); } JL_UNLOCK(&method->writelock); return 1; } static int invalidate_all_caches_visitor(jl_methtable_t *mt, void *env) { return jl...
There is only one method table now, so you can just examine it directly: ```suggestion invalidate_all_caches_visitor(jl_method_table, current_world); ```
} else if (specializations != NULL) { jl_method_instance_t *mi = (jl_method_instance_t*)specializations; invalidate_method_instance_caches(mi, world); } JL_UNLOCK(&method->writelock); return 1; } static int invalidate_all_caches_visitor(jl_methtable_t *mt, void *env) { return jl...
@@ -5087,6 +5087,69 @@ JL_DLLEXPORT void jl_extern_c(jl_value_t *name, jl_value_t *declrt, jl_tupletype JL_GC_POP(); } +// Drop all method caches and increment world age as if adding a method that intersects everything +static void invalidate_method_instance_caches(jl_method_instance_t *mi, size_t world) +{ + ...
src/gf.c
26
C
0.714
performance
160
39
35
false
Drop sysimage caches for --code-coverage=all
59,234
JuliaLang/julia
35,573
Julia
vtjnash
IanButterworth
Review this pull request change. Language: C File: src/gf.c PR Title: Drop sysimage caches for --code-coverage=all BEFORE CODE: } else if (specializations != NULL) { jl_method_instance_t *mi = (jl_method_instance_t*)specializations; invalidate_method_instance_caches(mi, world); } JL_...
There is only one method table now, so you can just examine it directly: ```suggestion invalidate_all_caches_visitor(jl_method_table, current_world); ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
full_path = try ispath(path) || isempty(paths) catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG if err isa Base.IOError false elseif err isa Base.ArgumentError && occursin("embedded NULs", err.msg) false else ...
As you pointed out, this isn't needed since it is a pkgimage already
full_path = try ispath(path) || isempty(paths) catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG if err isa Base.IOError false elseif err isa Base.ArgumentError && occursin("embedded NULs", err.msg) false else ...
@@ -1395,7 +1395,9 @@ function complete_path_string(path, hint::Bool=false; end function __init__() - COMPLETION_WORLD[] = Base.get_world_counter() + if !Base.Compiler.should_insert_coverage(@__MODULE__, debuginfo)
stdlib/REPL/src/REPLCompletions.jl
26
Julia
0.214
suggestion
68
33
31
false
Drop sysimage caches for --code-coverage=all
59,234
JuliaLang/julia
35,573
Julia
vtjnash
IanButterworth
Review this pull request change. Language: Julia File: stdlib/REPL/src/REPLCompletions.jl PR Title: Drop sysimage caches for --code-coverage=all BEFORE CODE: full_path = try ispath(path) || isempty(paths) catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG ...
As you pointed out, this isn't needed since it is a pkgimage already
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG if err isa Base.IOError false elseif err isa Base.ArgumentError && occursin("embedded NULs", err.msg) false else rethrow() end end expanded && !hint ...
```suggestion COMPLETION_WORLD[] = Base.get_world_counter() ```
catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG if err isa Base.IOError false elseif err isa Base.ArgumentError && occursin("embedded NULs", err.msg) false else rethrow() end end expanded && !hint ...
@@ -1395,7 +1395,9 @@ function complete_path_string(path, hint::Bool=false; end function __init__() - COMPLETION_WORLD[] = Base.get_world_counter() + if !Base.Compiler.should_insert_coverage(@__MODULE__, debuginfo) + COMPLETION_WORLD[] = Base.get_world_counter() + end
stdlib/REPL/src/REPLCompletions.jl
26
Julia
0.571
suggestion
68
31
29
false
Drop sysimage caches for --code-coverage=all
59,234
JuliaLang/julia
35,573
Julia
IanButterworth
IanButterworth
Review this pull request change. Language: Julia File: stdlib/REPL/src/REPLCompletions.jl PR Title: Drop sysimage caches for --code-coverage=all BEFORE CODE: catch err # access(2) errors unhandled by ispath: EACCES, EIO, ELOOP, ENAMETOOLONG if err isa Base.IOError false elsei...
```suggestion COMPLETION_WORLD[] = Base.get_world_counter() ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
ERROR: ErrorException """s, err_str) end @testset "defining `ans` and `err`" begin @test eval(:(ans = 1)) == 1 @test eval(:(err = 1)) == 1 end @testset "scrub REPL-related frames" begin repl_bt = [StackFrame(:foo, "foo.jl", 1), StackFrame(:__repl_entry_anysuffix, "client.jl", 2),...
I don't understand this comment. `macro bad(); error(); end` with `errexpr = :(@bad)` should be enough.
ERROR: ErrorException """s, err_str) end @testset "defining `ans` and `err`" begin @test eval(:(ans = 1)) == 1 @test eval(:(err = 1)) == 1 end @testset "scrub REPL-related frames" begin repl_bt = [StackFrame(:foo, "foo.jl", 1), StackFrame(:__repl_entry_anysuffix, "client.jl", 2),...
@@ -57,3 +59,28 @@ end @test eval(:(ans = 1)) == 1 @test eval(:(err = 1)) == 1 end + +@testset "scrub REPL-related frames" begin + repl_bt = [StackFrame(:foo, "foo.jl", 1), + StackFrame(:__repl_entry_anysuffix, "client.jl", 2), + StackFrame(:bar, "bar.jl", 3)] + scrubbed_repl_bt = Bas...
test/client.jl
26
Julia
0.714
suggestion
103
34
40
false
Restore stacktrace scrubing in fallback REPL.
59,241
JuliaLang/julia
35,573
Julia
Keno
BioTurboNick
Review this pull request change. Language: Julia File: test/client.jl PR Title: Restore stacktrace scrubing in fallback REPL. BEFORE CODE: ERROR: ErrorException """s, err_str) end @testset "defining `ans` and `err`" begin @test eval(:(ans = 1)) == 1 @test eval(:(err = 1)) == 1 end @testset...
I don't understand this comment. `macro bad(); error(); end` with `errexpr = :(@bad)` should be enough.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6))[1], 0.5) @test_throws DomainError sin...
```suggestion Base.Fix1(round, typ), Base.Fix1(trunc, typ), (+), ∘(-, -), ∘(-, cosc), ```
@test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6))[1], 0.5) @test_throws DomainError sin...
@@ -590,6 +590,23 @@ end @test ismissing(scdm[2]) end +@testset "behavior at signed zero of monotonic floating-point functions mapping zero to zero" begin + @testset "typ: $typ" for typ in (Float16, Float32, Float64) + @testset "f: $f" for f in ( + # all strictly increasing + ide...
test/math.jl
26
Julia
0.714
suggestion
103
51
51
false
test: math: test floating-point behavior when mapping zero to zero
59,265
JuliaLang/julia
35,573
Julia
stevengj
nsajko
Review this pull request change. Language: Julia File: test/math.jl PR Title: test: math: test floating-point behavior when mapping zero to zero BEFORE CODE: @test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 ...
```suggestion Base.Fix1(round, typ), Base.Fix1(trunc, typ), (+), ∘(-, -), ∘(-, cosc), ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@testset let context=(T, has_fma[T], my_eq) @test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6...
```suggestion sin, sind, sinpi, tan, tand, tanpi, asin, asind, atan, atand, Base.Fix2(atan, one(typ)), Base.Fix2(atand, one(typ)), ```
@testset let context=(T, has_fma[T], my_eq) @test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6...
@@ -590,6 +590,23 @@ end @test ismissing(scdm[2]) end +@testset "behavior at signed zero of monotonic floating-point functions mapping zero to zero" begin + @testset "typ: $typ" for typ in (Float16, Float32, Float64) + @testset "f: $f" for f in ( + # all strictly increasing + ide...
test/math.jl
26
Julia
0.714
suggestion
148
51
51
false
test: math: test floating-point behavior when mapping zero to zero
59,265
JuliaLang/julia
35,573
Julia
stevengj
nsajko
Review this pull request change. Language: Julia File: test/math.jl PR Title: test: math: test floating-point behavior when mapping zero to zero BEFORE CODE: @testset let context=(T, has_fma[T], my_eq) @test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 ...
```suggestion sin, sind, sinpi, tan, tand, tanpi, asin, asind, atan, atand, Base.Fix2(atan, one(typ)), Base.Fix2(atand, one(typ)), ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6))[1], 0.5) @test_throws DomainError sin...
Should other rounding modes be tested too?
@test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 @test my_eq(sinpi(one(T)/convert(T,6)), 0.5) @test my_eq(sincospi(one(T)/convert(T,6))[1], 0.5) @test_throws DomainError sin...
@@ -590,6 +590,23 @@ end @test ismissing(scdm[2]) end +@testset "behavior at signed zero of monotonic floating-point functions mapping zero to zero" begin + @testset "typ: $typ" for typ in (Float16, Float32, Float64) + @testset "f: $f" for f in ( + # all strictly increasing + ide...
test/math.jl
26
Julia
0.143
question
42
51
51
false
test: math: test floating-point behavior when mapping zero to zero
59,265
JuliaLang/julia
35,573
Julia
stevengj
nsajko
Review this pull request change. Language: Julia File: test/math.jl PR Title: test: math: test floating-point behavior when mapping zero to zero BEFORE CODE: @test sind(convert(T,30)) == 0.5 @test cosd(convert(T,60)) == 0.5 @test sind(convert(T,150)) == 0.5 ...
Should other rounding modes be tested too?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
uv_mutex_lock(&tls_lock); if (tid == -1) tid = jl_atomic_load_relaxed(&jl_n_threads); ptls->tid = tid; jl_ptls_t *allstates = jl_atomic_load_relaxed(&jl_all_tls_states); if (jl_all_tls_states_size <= tid) { int i, newsize = jl_all_tls_states_size + tid + 2; jl_ptls_t *newpptl...
```suggestion void JL_NOTSAFEPOINT (*jl_unw_ensure_tls)(void) = NULL; ```
ptls->tid = tid; jl_ptls_t *allstates = jl_atomic_load_relaxed(&jl_all_tls_states); if (jl_all_tls_states_size <= tid) { int i, newsize = jl_all_tls_states_size + tid + 2; jl_ptls_t *newpptls = (jl_ptls_t*)calloc(newsize, sizeof(jl_ptls_t)); for (i = 0; i < jl_all_tls_states_size; i+...
@@ -403,7 +403,10 @@ jl_ptls_t jl_init_threadtls(int16_t tid) #if !defined(_OS_WINDOWS_) && !defined(JL_DISABLE_LIBUNWIND) && !defined(LLVMLIBUNWIND) // ensures libunwind TLS space for this thread is allocated eagerly // to make unwinding async-signal-safe even when using thread local caches. - unw_ensure...
src/threading.c
26
C
0.714
suggestion
79
51
51
false
Avoid depending on Julia-patched libunwind ABI
59,266
JuliaLang/julia
35,573
Julia
topolarity
gbaraldi
Review this pull request change. Language: C File: src/threading.c PR Title: Avoid depending on Julia-patched libunwind ABI BEFORE CODE: uv_mutex_lock(&tls_lock); if (tid == -1) tid = jl_atomic_load_relaxed(&jl_n_threads); ptls->tid = tid; jl_ptls_t *allstates = jl_atomic_load_relaxed(&jl_al...
```suggestion void JL_NOTSAFEPOINT (*jl_unw_ensure_tls)(void) = NULL; ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return b1[] - b0[] end only(methods(allocated)).called = 0xff @constprop :none function allocations(f, args::Vararg{Any,N}) where {N} stats = Base.gc_num() val = f(args...) diff = Base.GC_Diff(Base.gc_num(), stats) donotdelete(val) return Base.gc_alloc_count(diff) end only(methods(allocations))...
My new doc string is not entirely consistent with this. We may want to remove this as it's kind of hard to explain.
end only(methods(allocated)).called = 0xff @constprop :none function allocations(f, args::Vararg{Any,N}) where {N} stats = Base.gc_num() @noinline f(args...) diff = Base.GC_Diff(Base.gc_num(), stats) return Base.gc_alloc_count(diff) end only(methods(allocations)).called = 0xff function is_simply_call(...
@@ -501,12 +503,52 @@ function is_simply_call(@nospecialize ex) return true end +function _gen_allocation_measurer(ex, fname::Symbol) + if isexpr(ex, :call) + if !is_simply_call(ex) + ex = :((() -> $ex)())
base/timing.jl
26
Julia
0.429
refactor
115
51
51
false
change `@allocated` again
59,278
JuliaLang/julia
35,573
Julia
JeffBezanson
JeffBezanson
Review this pull request change. Language: Julia File: base/timing.jl PR Title: change `@allocated` again BEFORE CODE: return b1[] - b0[] end only(methods(allocated)).called = 0xff @constprop :none function allocations(f, args::Vararg{Any,N}) where {N} stats = Base.gc_num() val = f(args...) diff = ...
My new doc string is not entirely consistent with this. We may want to remove this as it's kind of hard to explain.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
""" cmd = if Sys.isunix() # Set the maximum core dump size to 0 to keep this expected crash from # producing a (and potentially overwriting an existing) core dump file `sh -c "ulimit -c 0; $(Base.shell_escape(Base.julia_cmd())) -e $(Base.shell_escape(script))"` else `$(Base.j...
```suggestion # a function that allocates iff no constprop ```
""" cmd = if Sys.isunix() # Set the maximum core dump size to 0 to keep this expected crash from # producing a (and potentially overwriting an existing) core dump file `sh -c "ulimit -c 0; $(Base.shell_escape(Base.julia_cmd())) -e $(Base.shell_escape(script))"` else `$(Base.j...
@@ -1540,15 +1540,39 @@ end # issue #41656 run(`$(Base.julia_cmd()) -e 'isempty(x) = true'`) +function treshape59278(X::AbstractArray, n, m) + Y = reshape(X, n, m) + Y .= 1.0 + return X +end + +# a funcion that allocates iff no constprop
test/misc.jl
26
Julia
0.571
suggestion
64
51
51
false
change `@allocated` again
59,278
JuliaLang/julia
35,573
Julia
JeffBezanson
JeffBezanson
Review this pull request change. Language: Julia File: test/misc.jl PR Title: change `@allocated` again BEFORE CODE: """ cmd = if Sys.isunix() # Set the maximum core dump size to 0 to keep this expected crash from # producing a (and potentially overwriting an existing) core dump file ...
```suggestion # a function that allocates iff no constprop ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
catch e isa(e, InterruptException) || rethrow() finally REPL.Terminals.raw!(term, false) end end end o_ts_duration = @elapsed Experimental.@sync begin for p in workers() @async...
Could simplify a tiny bit as ```suggestion hours, mins = divrem(elapsed_minutes, 60) ```
for p in workers() @async begin push!(all_tasks, current_task()) while length(tests) > 0 test = popfirst!(tests) running_tests[test] = now() wrkr = p # Cre...
@@ -262,6 +277,34 @@ cd(@__DIR__) do test = popfirst!(tests) running_tests[test] = now() wrkr = p + + # Create a timer for this test to report long-running status + test_timers[test] = Timer(longrunn...
test/runtests.jl
26
Julia
0.786
refactor
127
51
51
false
Add a long running warn to Base.runtests
59,288
JuliaLang/julia
35,573
Julia
ararslan
IanButterworth
Review this pull request change. Language: Julia File: test/runtests.jl PR Title: Add a long running warn to Base.runtests BEFORE CODE: catch e isa(e, InterruptException) || rethrow() finally REPL.Terminals.raw!(term, false) end...
Could simplify a tiny bit as ```suggestion hours, mins = divrem(elapsed_minutes, 60) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license using Test using Distributed using Dates if !Sys.iswindows() && isa(stdin, Base.TTY) import REPL end using Printf: @sprintf using Base: Experimental include("choosetests.jl") include("testenv.jl") include("buildkitetestjson.jl") longru...
Could use `get` instead of `if haskey` + `getindex`?
# This file is a part of Julia. License is MIT: https://julialang.org/license using Test using Distributed using Dates if !Sys.iswindows() && isa(stdin, Base.TTY) import REPL end using Printf: @sprintf using Base: Experimental include("choosetests.jl") include("testenv.jl") include("buildkitetestjson.jl") const ...
@@ -13,6 +13,17 @@ include("choosetests.jl") include("testenv.jl") include("buildkitetestjson.jl") +longrunning_delay = if haskey(ENV, "JULIA_TEST_LONGRUNNING_DELAY") # minutes + parse(Int, ENV["JULIA_TEST_LONGRUNNING_DELAY"]) * 60 +else + 45 * 60 # 45 minutes +end +longrunning_interval = if haskey(ENV, "JUL...
test/runtests.jl
25
Julia
0.429
question
52
50
50
false
Add a long running warn to Base.runtests
59,288
JuliaLang/julia
35,573
Julia
giordano
IanButterworth
Review this pull request change. Language: Julia File: test/runtests.jl PR Title: Add a long running warn to Base.runtests BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license using Test using Distributed using Dates if !Sys.iswindows() && isa(stdin, Base.TTY) import REPL ...
Could use `get` instead of `if haskey` + `getindex`?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@test recorded_error isa Test.Error @test recorded_error.context !== nothing @test occursin("x = 42", recorded_error.context) # Context shows up in string representation error_str = sprint(show, recorded_error) @test occursin("Context:", error_str) @test occursin...
This doesn't work if it's captured with OncePerProcess
@test recorded_error isa Test.Error @test recorded_error.context !== nothing @test occursin("x = 42", recorded_error.context) # Context shows up in string representation error_str = sprint(show, recorded_error) @test occursin("Context:", error_str) @test occursin...
@@ -2008,3 +2008,56 @@ end @test occursin("(x, y) = (42, \"hello\")", recorded_error2.context) end end + +@testset "JULIA_TEST_VERBOSE" begin + # Test the verbose testset entry/exit functionality + withenv("JULIA_TEST_VERBOSE" => "true") do
stdlib/Test/test/runtests.jl
26
Julia
0.214
suggestion
54
51
51
false
Add test verbose env var and show when starting/finishing testsets
59,295
JuliaLang/julia
35,573
Julia
Keno
IanButterworth
Review this pull request change. Language: Julia File: stdlib/Test/test/runtests.jl PR Title: Add test verbose env var and show when starting/finishing testsets BEFORE CODE: @test recorded_error isa Test.Error @test recorded_error.context !== nothing @test occursin("x = 42", recorded_error.c...
This doesn't work if it's captured with OncePerProcess
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license # Patches to Base needed for trimming @eval Core begin DomainError(@nospecialize(val), @nospecialize(msg::AbstractString)) = (@noinline; $(Expr(:new, :DomainError, :val, :msg))) end (f::Base.RedirectStdStream)(io::Core.CoreSTDOUT) = Ba...
```suggestion # Disable logging (TypedCallable is required to support the existing dynamic # logger interface, but it's not implemented yet) @inline current_logger_for_env(std_level::LogLevel, group, _module) = nothing ```
cglobal(:jl_gc_counted_realloc_with_old_size), cglobal(:jl_gc_counted_free_with_size)) ZERO.alloc, ZERO.size, ZERO.d = 0, 0, C_NULL ONE.alloc, ONE.size, ONE.d = 1, 1, pointer(_ONE) catch ex Base.showerror_nostdio(ex, "WARNING: Error during init...
@@ -109,3 +118,7 @@ end end end end + +@eval Base.CoreLogging begin + @inline current_logger_for_env(std_level::LogLevel, group, _module) = nothing
contrib/juliac/juliac-trim-base.jl
26
Julia
0.929
suggestion
238
125
28
false
Fix printing of errors in juliac + searchsorted functions for LinearAlgebra
59,299
JuliaLang/julia
35,573
Julia
topolarity
gbaraldi
Review this pull request change. Language: Julia File: contrib/juliac/juliac-trim-base.jl PR Title: Fix printing of errors in juliac + searchsorted functions for LinearAlgebra BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license # Patches to Base needed for trimming @eval Cor...
```suggestion # Disable logging (TypedCallable is required to support the existing dynamic # logger interface, but it's not implemented yet) @inline current_logger_for_env(std_level::LogLevel, group, _module) = nothing ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end elseif T isa Union print(io, "Union{") show_typeish(io, T.a) print(io, ", ") show_typeish(io, T.b) print(io, "}") elseif T isa UnionAll print(io, T.body::Type) print(io, " where ") print(io, T...
```suggestion # identical to existing Base def. but specializes on `lt` / `by` $s(v::AbstractVector, x, o::Ordering) = $s(v,x,firstindex(v),lastindex(v),o) ```
end elseif T isa Union print(io, "Union{") show_typeish(io, T.a) print(io, ", ") show_typeish(io, T.b) print(io, "}") elseif T isa UnionAll print(io, T.body::Type) print(io, " where ") print(io, T...
@@ -82,6 +82,15 @@ end @eval Base.Sys begin __init_build() = nothing # VersionNumber parsing is not supported yet end +# Used for LinearAlgebre ldiv with SVD +for s in [:searchsortedfirst, :searchsortedlast, :searchsorted] + @eval Base.Sort begin + $s(v::AbstractVector, x, o::Ordering) = $s(v,x,firstin...
contrib/juliac/juliac-trim-base.jl
26
Julia
0.714
refactor
178
51
51
false
Fix printing of errors in juliac + searchsorted functions for LinearAlgebra
59,299
JuliaLang/julia
35,573
Julia
topolarity
gbaraldi
Review this pull request change. Language: Julia File: contrib/juliac/juliac-trim-base.jl PR Title: Fix printing of errors in juliac + searchsorted functions for LinearAlgebra BEFORE CODE: end elseif T isa Union print(io, "Union{") show_typeish(io, T.a) print(...
```suggestion # identical to existing Base def. but specializes on `lt` / `by` $s(v::AbstractVector, x, o::Ordering) = $s(v,x,firstindex(v),lastindex(v),o) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || thro...
slightly simpler: ```suggestion if isconcretetype(eltype(ox)) ```
julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || thro...
@@ -88,12 +88,18 @@ function _dropdims(A::AbstractArray, dims::Dims) dims[j] == dims[i] && throw(ArgumentError("dropped dims must be unique")) end end + ox = axes(A) ax = _foldoneto((ds, d) -> d in dims ? ds : (ds..., axes(A,d)), (), Val(ndims(A))) - reshape(A, ax::typeof(_sub(axes...
base/abstractarraymath.jl
26
Julia
0.714
suggestion
74
51
51
false
don't assume homogenous axes types in `dropdims`
59,302
JuliaLang/julia
35,573
Julia
nsajko
adienes
Review this pull request change. Language: Julia File: base/abstractarraymath.jl PR Title: don't assume homogenous axes types in `dropdims` BEFORE CODE: julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ ...
slightly simpler: ```suggestion if isconcretetype(eltype(ox)) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || throw...
```suggestion # if all the axes are the same type, we can use the tail as the ```
julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || throw...
@@ -88,12 +88,18 @@ function _dropdims(A::AbstractArray, dims::Dims) dims[j] == dims[i] && throw(ArgumentError("dropped dims must be unique")) end end + ox = axes(A) ax = _foldoneto((ds, d) -> d in dims ? ds : (ds..., axes(A,d)), (), Val(ndims(A))) - reshape(A, ax::typeof(_sub(axes...
base/abstractarraymath.jl
26
Julia
0.786
suggestion
91
51
51
false
don't assume homogenous axes types in `dropdims`
59,302
JuliaLang/julia
35,573
Julia
adienes
adienes
Review this pull request change. Language: Julia File: base/abstractarraymath.jl PR Title: don't assume homogenous axes types in `dropdims` BEFORE CODE: julia> b = dropdims(a; dims=3) 2×2×1 Array{Int64, 3}: [:, :, 1] = 1 3 2 4 julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ d...
```suggestion # if all the axes are the same type, we can use the tail as the ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || throw(ArgumentError("dropped dims must be in range 1:ndims(A)")) length(axe...
I'd deduplicate this by moving the `reshape` call out of the branch (assuming the `typeassert` is necessary in the first place): ```suggestion if isconcretetype(eltype(ox)) # if all the axes are the same type, we can use the tail as the # axes of the result rather than extracting one at each i...
julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dims::Dims) for i in eachindex(dims) 1 <= dims[i] <= ndims(A) || throw(ArgumentError("dropped dims must be in range 1:ndims(A)")) length(axe...
@@ -88,12 +88,18 @@ function _dropdims(A::AbstractArray, dims::Dims) dims[j] == dims[i] && throw(ArgumentError("dropped dims must be unique")) end end + ox = axes(A) ax = _foldoneto((ds, d) -> d in dims ? ds : (ds..., axes(A,d)), (), Val(ndims(A))) - reshape(A, ax::typeof(_sub(axes...
base/abstractarraymath.jl
26
Julia
1
refactor
406
51
51
false
don't assume homogenous axes types in `dropdims`
59,302
JuliaLang/julia
35,573
Julia
nsajko
adienes
Review this pull request change. Language: Julia File: base/abstractarraymath.jl PR Title: don't assume homogenous axes types in `dropdims` BEFORE CODE: julia> b[1,1,1] = 5; a 2×2×1×1 Array{Int64, 4}: [:, :, 1, 1] = 5 3 2 4 ``` """ dropdims(A; dims) = _dropdims(A, dims) function _dropdims(A::AbstractArray, dim...
I'd deduplicate this by moving the `reshape` call out of the branch (assuming the `typeassert` is necessary in the first place): ```suggestion if isconcretetype(eltype(ox)) # if all the axes are the same type, we can use the tail as the # axes of the result rather than extracting one at each i...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
methods(j59327)[1].specializations ) @noinline l59327(f::Base.Callable, x) = Any[f, x] m59327(x) = l59327(+, Any[x][1]) m59327(1) @test any( mi->mi isa Core.MethodInstance && mi.specTypes == Tuple{typeof(l59327), Function, Int}, methods(l59327)[1].specializations ) # _do_ specialize if the signature has a...
is there a typo here? ```suggestion @noinline n59327(f::typeof(+), x) = Any[f, x] ```
methods(j59327)[1].specializations ) @noinline l59327(f::Base.Callable, x) = Any[f, x] m59327(x) = l59327(+, Any[x][1]) m59327(1) @test any( mi->mi isa Core.MethodInstance && mi.specTypes == Tuple{typeof(l59327), Function, Int}, methods(l59327)[1].specializations ) # _do_ specialize if the signature has a...
@@ -243,6 +243,62 @@ k11840(::Type{Union{Tuple{Int32}, Tuple{Int64}}}) = '2' @test k11840(Tuple{Union{Int32, Int64}}) == '2' @test k11840(Union{Tuple{Int32}, Tuple{Int64}}) == '2' +# issue #59327 +@noinline f59327(f, x) = Any[f, x] +g59327(x) = f59327(+, Any[x][1]) +g59327(1) +@test any( + mi->mi isa Core.Method...
test/core.jl
26
Julia
0.714
suggestion
89
51
51
false
Fix nospecializing Functions in `Union{Nothing,Function}` params
59,327
JuliaLang/julia
35,573
Julia
nickrobinson251
NHDaly
Review this pull request change. Language: Julia File: test/core.jl PR Title: Fix nospecializing Functions in `Union{Nothing,Function}` params BEFORE CODE: methods(j59327)[1].specializations ) @noinline l59327(f::Base.Callable, x) = Any[f, x] m59327(x) = l59327(+, Any[x][1]) m59327(1) @test any( mi->mi isa...
is there a typo here? ```suggestion @noinline n59327(f::typeof(+), x) = Any[f, x] ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
// if it has a current usage with ExternalLinkage auto jl_small_typeof_copy = dataM.getGlobalVariable("jl_small_typeof"); if (jl_small_typeof_copy) { jl_small_typeof_copy->setVisibility(GlobalValue::HiddenVisibility); jl_small_typeof_copy->setDSOLocal(...
We might be able to use modern C++ features for this (though it might require replacing `std::function` with `llvm::unique_function`, which hasn't yet been standardized, so that it compiles to do the right thing) ```suggestion data_outputs = compile(*dataM, "text", threads, [data, lock = std::move(lock), TSCt...
// if it has a current usage with ExternalLinkage auto jl_small_typeof_copy = dataM.getGlobalVariable("jl_small_typeof"); if (jl_small_typeof_copy) { jl_small_typeof_copy->setVisibility(GlobalValue::HiddenVisibility); jl_small_typeof_copy->setDSOLocal(...
@@ -2271,9 +2271,14 @@ void jl_dump_native_impl(void *native_code, auto lock = TSCtx.getLock(); auto dataM = data->M.getModuleUnlocked(); - // Delete data when add_output thinks it's done with it - // Saves memory for use when multithreading - data_outputs = compile(*dataM, "tex...
src/aotcompile.cpp
26
C++
1
suggestion
523
51
51
false
aotcompile: destroy LLVM context after serializing combined module
59,329
JuliaLang/julia
35,573
Julia
vtjnash
xal-0
Review this pull request change. Language: C++ File: src/aotcompile.cpp PR Title: aotcompile: destroy LLVM context after serializing combined module BEFORE CODE: // if it has a current usage with ExternalLinkage auto jl_small_typeof_copy = dataM.getGlobalVariable("jl_small_typeof"); ...
We might be able to use modern C++ features for this (though it might require replacing `std::function` with `llvm::unique_function`, which hasn't yet been standardized, so that it compiles to do the right thing) ```suggestion data_outputs = compile(*dataM, "text", threads, [data, lock = std::move(lock), TSCt...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
Dynamic scopes are propagated across tasks. # Examples ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sval[] 1 ``` !!! compat "Julia 1.11" Scoped values were introduced in Julia 1.11. In Julia 1....
Isn't this considered breaking, since `ScopedValue{Foo}` is no longer concrete? Why not create a new abstract type and make `ScopedValue` subtype that, thereby making handling of `LazyScopedValue` opt-in?
Create a container that propagates values across dynamic scopes. Use [`with`](@ref) to create and enter a new dynamic scope. Values can only be set when entering a new dynamic scope, and the value referred to will be constant during the execution of a dynamic scope. Dynamic scopes are propagated across tasks. # Exa...
@@ -40,17 +80,13 @@ julia> sval[] Scoped values were introduced in Julia 1.11. In Julia 1.8+ a compatible implementation is available from the package ScopedValues.jl. """ -mutable struct ScopedValue{T} - # NOTE this struct must be defined as mutable one since it's used as a key of - # `ScopeStora...
base/scopedvalues.jl
26
Julia
0.786
refactor
205
51
51
false
Allow ScopedValue defaults to be lazily computed
59,372
JuliaLang/julia
35,573
Julia
Seelengrab
Keno
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: Allow ScopedValue defaults to be lazily computed BEFORE CODE: Dynamic scopes are propagated across tasks. # Examples ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with...
Isn't this considered breaking, since `ScopedValue{Foo}` is no longer concrete? Why not create a new abstract type and make `ScopedValue` subtype that, thereby making handling of `LazyScopedValue` opt-in?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license module ScopedValues export ScopedValue, LazyScopedValue, with, @with public get """ AbstractScopedValue{T} Abstract base type for scoped values that propagate values across dynamic scopes. All scoped value types must extend this abstr...
```suggestion See also: [`ScopedValue`](@ref), [`LazyScopedValue`](@ref) !!! compat "Julia 1.13" AbstractScopedValue requires Julia 1.13+. ```
# This file is a part of Julia. License is MIT: https://julialang.org/license module ScopedValues export ScopedValue, LazyScopedValue, with, @with public get """ AbstractScopedValue{T} Abstract base type for scoped values that propagate values across dynamic scopes. All scoped value types must extend this abstr...
@@ -2,9 +2,54 @@ module ScopedValues -export ScopedValue, with, @with +export ScopedValue, LazyScopedValue, with, @with public get +""" + AbstractScopedValue{T} + +Abstract base type for scoped values that propagate values across +dynamic scopes. All scoped value types must extend this abstract type. + +See ...
base/scopedvalues.jl
14
Julia
0.714
refactor
152
39
39
false
Allow ScopedValue defaults to be lazily computed
59,372
JuliaLang/julia
35,573
Julia
vchuravy
Keno
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: Allow ScopedValue defaults to be lazily computed BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license module ScopedValues export ScopedValue, LazyScopedValue, with, @with public get """ ...
```suggestion See also: [`ScopedValue`](@ref), [`LazyScopedValue`](@ref) !!! compat "Julia 1.13" AbstractScopedValue requires Julia 1.13+. ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> ScopedValues.get(a) Some(42) julia> isnothing(ScopedValues.get(b)) true ``` """ function get(val::AbstractScopedValue{T}) where {T} scope = Core.current_scope()::Union{Scope, Nothing} if scope === nothing !hasdefault(val) && return nothing return Some{T}(getdefault(val)) end sco...
Is this something that was missing before? (I hope this doesn't lead to more allocations)
# Examples ```jldoctest julia> using Base.ScopedValues julia> a = ScopedValue(42); b = ScopedValue{Int}(); julia> ScopedValues.get(a) Some(42) julia> isnothing(ScopedValues.get(b)) true ``` """ function get(val::AbstractScopedValue{T}) where {T} scope = Core.current_scope()::Union{Scope, Nothing} if scope ==...
@@ -148,31 +195,36 @@ julia> isnothing(ScopedValues.get(b)) true ``` """ -function get(val::ScopedValue{T}) where {T} +function get(val::AbstractScopedValue{T}) where {T} scope = Core.current_scope()::Union{Scope, Nothing} if scope === nothing - val.has_default && return Some{T}(val.default) - ...
base/scopedvalues.jl
26
Julia
0.214
question
89
51
51
false
Allow ScopedValue defaults to be lazily computed
59,372
JuliaLang/julia
35,573
Julia
vchuravy
Keno
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: Allow ScopedValue defaults to be lazily computed BEFORE CODE: julia> ScopedValues.get(a) Some(42) julia> isnothing(ScopedValues.get(b)) true ``` """ function get(val::AbstractScopedValue{T}) where {T} scope = Core.current_sc...
Is this something that was missing before? (I hope this doesn't lead to more allocations)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
Dynamic scopes are propagated across tasks. # Examples ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sval[] 1 ``` !!! compat "Julia 1.11" Scoped values were introduced in Julia 1.11. In Julia 1....
```suggestion mutable struct ScopedValue{T} <: AbstractScopedValue{T} # NOTE this struct must be defined as mutable one since it's used as a key of # `ScopeStorage` dictionary and thus needs object identity ```
Dynamic scopes are propagated across tasks. # Examples ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sval[] 1 ``` !!! compat "Julia 1.11" Scoped values were introduced in Julia 1.11. In Julia 1....
@@ -40,17 +88,21 @@ julia> sval[] Scoped values were introduced in Julia 1.11. In Julia 1.8+ a compatible implementation is available from the package ScopedValues.jl. """ -mutable struct ScopedValue{T} - # NOTE this struct must be defined as mutable one since it's used as a key of - # `ScopeStora...
base/scopedvalues.jl
26
Julia
0.857
refactor
227
51
51
false
Allow ScopedValue defaults to be lazily computed
59,372
JuliaLang/julia
35,573
Julia
IanButterworth
Keno
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: Allow ScopedValue defaults to be lazily computed BEFORE CODE: Dynamic scopes are propagated across tasks. # Examples ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with...
```suggestion mutable struct ScopedValue{T} <: AbstractScopedValue{T} # NOTE this struct must be defined as mutable one since it's used as a key of # `ScopeStorage` dictionary and thus needs object identity ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sval[] 1 ``` !!! compat "Julia 1.11" Scoped values were introduced in Julia 1.11. In Julia 1.8+ a compatible implementation is available from the...
```suggestion const hasdefault::Bool # this field is necessary since isbitstype `default` field may be initialized with undefined value ```
```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sval[] 1 ``` !!! compat "Julia 1.11" Scoped values were introduced in Julia 1.11. In Julia 1.8+ a compatible implementation is available from the...
@@ -40,17 +88,23 @@ julia> sval[] Scoped values were introduced in Julia 1.11. In Julia 1.8+ a compatible implementation is available from the package ScopedValues.jl. """ -mutable struct ScopedValue{T} +mutable struct ScopedValue{T} <: AbstractScopedValue{T} # NOTE this struct must be defined as mutabl...
base/scopedvalues.jl
26
Julia
0.857
suggestion
145
51
51
false
Allow ScopedValue defaults to be lazily computed
59,372
JuliaLang/julia
35,573
Julia
Seelengrab
Keno
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: Allow ScopedValue defaults to be lazily computed BEFORE CODE: ```jldoctest julia> using Base.ScopedValues; julia> const sval = ScopedValue(1); julia> sval[] 1 julia> with(sval => 2) do sval[] end 2 julia> sv...
```suggestion const hasdefault::Bool # this field is necessary since isbitstype `default` field may be initialized with undefined value ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license ################################### # Cross Platform tests for spawn. # ################################### using Random, Sockets, SHA using Downloads: Downloads, download valgrind_off = ccall(:jl_running_on_valgrind, Cint, ()) == 0 yescm...
I assume it is officially disallowed, but does it do any verification, or would the test pass if attempted? Since passing sockets at all is also officially documented as broken in the NT kernel due to various ancient design and implementation mistakes of long deprecated APIs around WSADuplicateSocket/DuplicateHandle, b...
# effects for Cmd construction for f in (() -> `a b c`, () -> `a a$("bb")a $("c")`) effects = Base.infer_effects(f) @test Core.Compiler.is_effect_free(effects) @test Core.Compiler.is_terminates(effects) @test Core.Compiler.is_noub(effects) @test !Core.Compiler.is_consistent(effects) end let effects ...
@@ -1053,3 +1053,34 @@ end @assert eltype(args) != String @test Cmd(["ls", args...]) == `ls -l /tmp` end + +# Test passing a pipe server as an addition fd +@testset "Pipe server as additional fd" begin + if !Sys.iswindows() + # Windows CRT does not support passing server sockets as stdio fds
test/spawn.jl
26
Julia
0.571
bug
390
1,056
51
false
spawn: Allow libuv IOServers to be passed as extra FDs
59,373
JuliaLang/julia
35,573
Julia
vtjnash
Keno
Review this pull request change. Language: Julia File: test/spawn.jl PR Title: spawn: Allow libuv IOServers to be passed as extra FDs BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license ################################### # Cross Platform tests for spawn. # ##################...
I assume it is officially disallowed, but does it do any verification, or would the test pass if attempted? Since passing sockets at all is also officially documented as broken in the NT kernel due to various ancient design and implementation mistakes of long deprecated APIs around WSADuplicateSocket/DuplicateHandle, b...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@testset for i in 1:6 iseven(i) || error("error outside of test") @test true # only gets run if the above passed end end end # These lines shouldn't be called error("No exception was thrown!") catch ex ...
maybe switch to 0x0? to reflect the new type (or an enum)
@testset for i in 1:6 iseven(i) || error("error outside of test") @test true # only gets run if the above passed end end end # These lines shouldn't be called error("No exception was thrown!") catch ex ...
@@ -584,7 +584,7 @@ end @test total_error == 6 @test total_broken == 0 end - ts.anynonpass = false + @atomic ts.anynonpass = false
stdlib/Test/test/runtests.jl
26
Julia
0.357
suggestion
57
51
51
false
Test: Make test recording thread safe
59,374
JuliaLang/julia
35,573
Julia
gbaraldi
Keno
Review this pull request change. Language: Julia File: stdlib/Test/test/runtests.jl PR Title: Test: Make test recording thread safe BEFORE CODE: @testset for i in 1:6 iseven(i) || error("error outside of test") @test true # only gets run if the above passed ...
maybe switch to 0x0? to reflect the new type (or an enum)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
new_error = Error(t.test_type, t.orig_expr, t.value, t.backtrace, context, t.source) record(c.parent_ts, new_error) end #----------------------------------------------------------------------- """ DefaultTestSet If using the DefaultTestSet, the test results will be recorded. If there are any `Fail`s or `...
e.g. ```suggestion # Warning: `results_lock` must be held before accessing any of the following fields rng::Union{Nothing,AbstractRNG} n_passed::Int time_end::Float64 ```
new_error = Error(t.test_type, t.orig_expr, t.value, t.backtrace, context, t.source) record(c.parent_ts, new_error) end #----------------------------------------------------------------------- """ DefaultTestSet If using the DefaultTestSet, the test results will be recorded. If there are any `Fail`s or `...
@@ -1208,17 +1208,27 @@ are any `Fail`s or `Error`s, an exception will be thrown only at the end, along with a summary of the test results. """ mutable struct DefaultTestSet <: AbstractTestSet - description::String - results::Vector{Any} - n_passed::Int - anynonpass::Bool - verbose::Bool - showtimi...
stdlib/Test/src/Test.jl
26
Julia
0.714
refactor
192
51
51
false
Test: Make test recording thread safe
59,374
JuliaLang/julia
35,573
Julia
vtjnash
Keno
Review this pull request change. Language: Julia File: stdlib/Test/src/Test.jl PR Title: Test: Make test recording thread safe BEFORE CODE: new_error = Error(t.test_type, t.orig_expr, t.value, t.backtrace, context, t.source) record(c.parent_ts, new_error) end #----------------------------------------------...
e.g. ```suggestion # Warning: `results_lock` must be held before accessing any of the following fields rng::Union{Nothing,AbstractRNG} n_passed::Int time_end::Float64 ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equivalent to ``` if x isa T1 f(x, y, z) elseif x isa T2 f(x, y, z) else f(x, y, z) end ``` """ function union_split(f::F, @...
```suggestion function hash_shaped(A, h0::UInt, eltype_hint=()) ``` (and elsewhere)
# This file is a part of Julia. License is MIT: https://julialang.org/license ### Multidimensional iterators module IteratorsMD import .Base: eltype, length, size, first, last, in, getindex, setindex!, min, max, zero, oneunit, isless, eachindex, convert, show, iterate, promote_r...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.714
suggestion
88
51
2,109
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
adienes
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_s...
```suggestion function hash_shaped(A, h0::UInt, eltype_hint=()) ``` (and elsewhere)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
else f(x, y, z) end ``` """ function union_split(f::F, @nospecialize(x), ts::Tuple{Val{T}, Vararg{Any,N}}, args...) where {F, T, N} if x isa T f(x::T, args...) else union_split(f, x, Base.tail(ts), args...) end end union_split(f::F, @nospecialize(x), ::Tuple{}, args...) where F = f(x, ar...
why `@inline` ... inline, rather than `@inline function union_split` originally?
# This file is a part of Julia. License is MIT: https://julialang.org/license ### Multidimensional iterators module IteratorsMD import .Base: eltype, length, size, first, last, in, getindex, setindex!, min, max, zero, oneunit, isless, eachindex, convert, show, iterate, promote_r...
@@ -2093,20 +2120,20 @@ function hash_shaped(A, h::UInt) if len < 8 # for the shortest arrays we chain directly for elt in A - h = hash(elt, h) + h = @inline union_split(hash, elt, eltpye_hint, h)
base/multidimensional.jl
26
Julia
0.357
question
80
51
2,109
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
adienes
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: else f(x, y, z) end ``` """ function union_split(f::F, @nospecialize(x), ts::Tuple{Val{T}, Vararg{Any,N}}, args...) where {F, T, N} ...
why `@inline` ... inline, rather than `@inline function union_split` originally?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end @nexprs 4 i -> h = hash_mix_linear(p_i, h) return hash_uint(h) end """ union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equivalent to ``` if x isa T1 f(x, y, z) el...
Pretty sure inference can figure `x isa T` on its own in this branch. ```suggestion f(x, args...) ```
if len < 8 # for the shortest arrays we chain directly for elt in A h = union_split(hash, elt, eltype_hint, h) end return h elseif len < 32768 # separate accumulator streams, unrolled @nexprs 8 i -> p_i::UInt = h n = 1 limit = len - 7 ...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.714
suggestion
114
51
30
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
nsajko
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: end @nexprs 4 i -> h = hash_mix_linear(p_i, h) return hash_uint(h) end """ union_split(f, x, ts::Tuple{Vararg{Val}}, arg...
Pretty sure inference can figure `x isa T` on its own in this branch. ```suggestion f(x, args...) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
""" union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equivalent to ``` if x isa T1 f(x, y, z) elseif x isa T2 f(x, y, z) else f(x, y, z) end ``` """ @inline function union_...
@adienes, I suspect there is never a penalty in the `eltype_hint = ()` case but this would make me more sure: ```suggestion @inline union_split(f::F, x, ::Tuple{}, args...) where F = f(x, args...) ```
# This file is a part of Julia. License is MIT: https://julialang.org/license ### Multidimensional iterators module IteratorsMD import .Base: eltype, length, size, first, last, in, getindex, setindex!, min, max, zero, oneunit, isless, eachindex, convert, show, iterate, promote_r...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.929
suggestion
203
51
2,109
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
LilithHafner
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: """ union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `un...
@adienes, I suspect there is never a penalty in the `eltype_hint = ()` case but this would make me more sure: ```suggestion @inline union_split(f::F, x, ::Tuple{}, args...) where F = f(x, args...) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
""" union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equivalent to ``` if x isa T1 f(x, y, z) elseif x isa T2 f(x, y, z) else f(x, y, z) end ``` """ @inline function union_...
```suggestion @inline union_split(f, x, ::Tuple{}, args...) = f(x, args...) ```
# This file is a part of Julia. License is MIT: https://julialang.org/license ### Multidimensional iterators module IteratorsMD import .Base: eltype, length, size, first, last, in, getindex, setindex!, min, max, zero, oneunit, isless, eachindex, convert, show, iterate, promote_r...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.571
suggestion
81
51
2,109
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
adienes
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: """ union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `un...
```suggestion @inline union_split(f, x, ::Tuple{}, args...) = f(x, args...) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
keyidx = findprev(!isequal(elt), A, keyidx) keyidx === nothing && break end @nexprs 4 i -> h = hash_mix_linear(p_i, h) return hash_uint(h) end """ union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(...
The intention is to only allow `Val` elements in the tuple, right? So the dispatch could be a bit stricter: ```suggestion @inline function union_split(f, @nospecialize(x), ts::Tuple{Val{T}, Vararg{Val,N}}, args...) where {T, N} ``` Loving `union_split`, BTW!
len = length(A) if len < 8 # for the shortest arrays we chain directly for elt in A h = union_split(hash, elt, eltype_hint, h) end return h elseif len < 32768 # separate accumulator streams, unrolled @nexprs 8 i -> p_i::UInt = h n = 1 ...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.857
suggestion
266
51
32
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
nsajko
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: keyidx = findprev(!isequal(elt), A, keyidx) keyidx === nothing && break end @nexprs 4 i -> h = hash_mix_linear(p_...
The intention is to only allow `Val` elements in the tuple, right? So the dispatch could be a bit stricter: ```suggestion @inline function union_split(f, @nospecialize(x), ts::Tuple{Val{T}, Vararg{Val,N}}, args...) where {T, N} ``` Loving `union_split`, BTW!
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
""" union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equivalent to ``` if x isa T1 f(x, y, z) elseif x isa T2 f(x, y, z) else f(x, y, z) end ``` """ @inline function union_...
there's some rule about not specializing on splat vararg arguments, right? would it be even-more-assured there is no penalty in the `eltype_hint=()` case if we add a 1-arg method `@inline union_split(f, x, ::Tuple{}, h) = f(x, h)` ?
# This file is a part of Julia. License is MIT: https://julialang.org/license ### Multidimensional iterators module IteratorsMD import .Base: eltype, length, size, first, last, in, getindex, setindex!, min, max, zero, oneunit, isless, eachindex, convert, show, iterate, promote_r...
@@ -2083,7 +2083,34 @@ function _hash_fib(A, h::UInt) return hash_uint(h) end -function hash_shaped(A, h::UInt) +""" + union_split(f, x, ts::Tuple{Vararg{Val}}, args...) + +call `f(x, args...)`, union-splitting on all the types specified by `ts` + +`union_split(f, x, (Val{T1}(), Val{T2}()), y, z)` is equival...
base/multidimensional.jl
26
Julia
0.714
question
233
51
2,109
false
Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s
59,378
JuliaLang/julia
35,573
Julia
adienes
LilithHafner
Review this pull request change. Language: Julia File: base/multidimensional.jl PR Title: Union-split on `Expr`, `Symbol`, and `LineNumberNode` when hashing `Expr`s BEFORE CODE: """ union_split(f, x, ts::Tuple{Vararg{Val}}, args...) call `f(x, args...)`, union-splitting on all the types specified by `ts` `un...
there's some rule about not specializing on splat vararg arguments, right? would it be even-more-assured there is no penalty in the `eltype_hint=()` case if we add a 1-arg method `@inline union_split(f, x, ::Tuple{}, h) = f(x, h)` ?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
to_indices(A, I::Tuple{Vararg{Integer}}) = (@inline; to_indices(A, (), I)) to_indices(A, inds, ::Tuple{}) = () to_indices(A, inds, I::Tuple{Any, Vararg}) = (@inline; (to_index(A, I[1]), to_indices(A, safe_tail(inds), tail(I))...)) """ Slice(indices) Represent an AbstractUnitRange of indices as a vector of the...
Could this not be ```suggestion axes(S::Slice{<:AbstractOneTo}) = (S.indices,) ``` ? Why is `<:Integer` needed?
to_indices(A, I::Tuple{Vararg{Integer}}) = (@inline; to_indices(A, (), I)) to_indices(A, inds, ::Tuple{}) = () to_indices(A, inds, I::Tuple{Any, Vararg}) = (@inline; (to_index(A, I[1]), to_indices(A, safe_tail(inds), tail(I))...)) """ Slice(indices) Represent an AbstractUnitRange of indices as a vector of the...
@@ -387,8 +387,8 @@ Slice{T}(S::Slice) where {T<:AbstractUnitRange} = Slice{T}(T(S.indices)) axes(S::Slice) = (IdentityUnitRange(S.indices),) axes1(S::Slice) = IdentityUnitRange(S.indices) -axes(S::Slice{<:OneTo}) = (S.indices,) -axes1(S::Slice{<:OneTo}) = S.indices +axes(S::Slice{<:AbstractOneTo{<:Integer}}) = (S....
base/indices.jl
26
Julia
0.786
refactor
112
51
51
false
`axes` for a `Slice` of an `AbstractOneTo` axis
59,384
JuliaLang/julia
35,573
Julia
ararslan
jishnub
Review this pull request change. Language: Julia File: base/indices.jl PR Title: `axes` for a `Slice` of an `AbstractOneTo` axis BEFORE CODE: to_indices(A, I::Tuple{Vararg{Integer}}) = (@inline; to_indices(A, (), I)) to_indices(A, inds, ::Tuple{}) = () to_indices(A, inds, I::Tuple{Any, Vararg}) = (@inline; (to_...
Could this not be ```suggestion axes(S::Slice{<:AbstractOneTo}) = (S.indices,) ``` ? Why is `<:Integer` needed?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
range(first(i) ? first(S) : last(S), length = last(i), step = Int(step(i))) end # Indexing with offset ranges should preserve the axes of the indices # however, this is only really possible in general with OffsetArrays. # In some cases, though, we may obtain correct results using Base ranges # the following methods...
```suggestion function getindex(S<:AbstractOneTo{<:Integer}, I::IdentityUnitRange{<:AbstractUnitRange{<:Integer}}) ``` to match the signature of `axes` and also `I::` ?
# Indexing with offset ranges should preserve the axes of the indices # however, this is only really possible in general with OffsetArrays. # In some cases, though, we may obtain correct results using Base ranges # the following methods are added to allow OffsetArrays to dispatch on the first argument without ambiguiti...
@@ -465,11 +465,11 @@ end show(io::IO, r::IdentityUnitRange) = print(io, "Base.IdentityUnitRange(", r.indices, ")") iterate(S::IdentityUnitRange, s...) = iterate(S.indices, s...) -# For OneTo, the values and indices of the values are identical, so this may be defined in Base. +# For AbstractOneTo, the values and in...
base/indices.jl
26
Julia
0.714
refactor
173
51
51
false
`axes` for a `Slice` of an `AbstractOneTo` axis
59,384
JuliaLang/julia
35,573
Julia
adienes
jishnub
Review this pull request change. Language: Julia File: base/indices.jl PR Title: `axes` for a `Slice` of an `AbstractOneTo` axis BEFORE CODE: range(first(i) ? first(S) : last(S), length = last(i), step = Int(step(i))) end # Indexing with offset ranges should preserve the axes of the indices # however, this is o...
```suggestion function getindex(S<:AbstractOneTo{<:Integer}, I::IdentityUnitRange{<:AbstractUnitRange{<:Integer}}) ``` to match the signature of `axes` and also `I::` ?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
JL_DLLEXPORT void jl_gdblookup(void* ip) { jl_print_native_codeloc((uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEPOINT { jl_task_t *ct = jl_current_task; if (ct->ptls == NULL) return; jl_excstack_t *s = ct->excstack; ...
```suggestion jl_task_t *ct = jl_get_current_task(); ```
JL_DLLEXPORT void jl_gdblookup(void* ip) { jl_fprint_native_codeloc(ios_safe_stderr, (uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jl_fprint_backtrace(ios_t *s) JL_NOTSAFEPOINT { jl_task_t *ct = jl_current_task; if (ct->ptls == NULL) return; jl_excs...
@@ -1387,11 +1387,19 @@ JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEPOINT // Print backtrace for specified task to jl_safe_printf stderr JL_DLLEXPORT void jlbacktracet(jl_task_t *t) JL_NOTSAFEPOINT { + jl_bt_element_t *bt_data; jl_task_t *ct = jl_current_task;
src/stackwalk.c
26
C
0.571
suggestion
62
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: C File: src/stackwalk.c PR Title: Print task backtraces on sigquit BEFORE CODE: JL_DLLEXPORT void jl_gdblookup(void* ip) { jl_print_native_codeloc((uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEP...
```suggestion jl_task_t *ct = jl_get_current_task(); ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
jl_print_native_codeloc((uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEPOINT { jl_task_t *ct = jl_current_task; if (ct->ptls == NULL) return; jl_excstack_t *s = ct->excstack; if (!s) return; size_t i, bt_si...
```suggestion if (ct && ct->ptls != NULL) { ```
jl_fprint_native_codeloc(ios_safe_stderr, (uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jl_fprint_backtrace(ios_t *s) JL_NOTSAFEPOINT { jl_task_t *ct = jl_current_task; if (ct->ptls == NULL) return; jl_excstack_t *stack = ct->excstack; if (!stac...
@@ -1387,11 +1387,19 @@ JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEPOINT // Print backtrace for specified task to jl_safe_printf stderr JL_DLLEXPORT void jlbacktracet(jl_task_t *t) JL_NOTSAFEPOINT { + jl_bt_element_t *bt_data; jl_task_t *ct = jl_current_task; - jl_ptls_t ptls = ct->ptls; - ptls->bt_...
src/stackwalk.c
26
C
0.714
suggestion
53
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: C File: src/stackwalk.c PR Title: Print task backtraces on sigquit BEFORE CODE: jl_print_native_codeloc((uintptr_t)ip); } // Print backtrace for current exception in catch block JL_DLLEXPORT void jlbacktrace(void) JL_NOTSAFEPOINT { jl_task_t *ct = jl_current_task;...
```suggestion if (ct && ct->ptls != NULL) { ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# get the homedir, as reported by uv_os_get_passwd, as used by jl_format_filename try homedir() catch ex (ex isa Base.IOError && ex.code == Base.UV_ENOENT) || rethrow(ex) "" end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") ...
```suggestion write(stdout, "r") eof(stdout) ```
# get the homedir, as reported by uv_os_get_passwd, as used by jl_format_filename try homedir() catch ex (ex isa Base.IOError && ex.code == Base.UV_ENOENT) || rethrow(ex) "" end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") ...
@@ -74,6 +74,31 @@ let @test format_filename("%a%%b") == "a%b" end +if Sys.isunix() + @testset "SIGQUIT prints task backtraces" begin + script = """ + mutable struct RLimit + cur::Int64 + max::Int64 + end + const RLIMIT_CORE = 4 # from /us...
test/cmdlineargs.jl
26
Julia
0.571
suggestion
75
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: Julia File: test/cmdlineargs.jl PR Title: Print task backtraces on sigquit BEFORE CODE: # get the homedir, as reported by uv_os_get_passwd, as used by jl_format_filename try homedir() catch ex (ex isa Base.IOError && ex.code ...
```suggestion write(stdout, "r") eof(stdout) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @test format_filename("%a%%b") == "a%b" end if Sys.isunix() @testset "SIGQUIT prints task backtraces" begin ...
```suggestion p = open(pipeline(`$exename -e $script`, "r"), stderr=errp) @test read(p, UInt8) = UInt8('r') ```
end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @test format_filename("%a%%b") == "a%b" end if Sys.isunix() @testset "SIGQUIT prints task backtraces" begin ...
@@ -74,6 +74,31 @@ let @test format_filename("%a%%b") == "a%b" end +if Sys.isunix() + @testset "SIGQUIT prints task backtraces" begin + script = """ + mutable struct RLimit + cur::Int64 + max::Int64 + end + const RLIMIT_CORE = 4 # from /us...
test/cmdlineargs.jl
26
Julia
0.714
suggestion
130
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: Julia File: test/cmdlineargs.jl PR Title: Print task backtraces on sigquit BEFORE CODE: end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.getho...
```suggestion p = open(pipeline(`$exename -e $script`, "r"), stderr=errp) @test read(p, UInt8) = UInt8('r') ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
catch ex (ex isa Base.IOError && ex.code == Base.UV_ENOENT) || rethrow(ex) "" end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @tes...
```suggestion errp = IOBuffer() ``` (this was previously a data race, which made this test dangerous)
catch ex (ex isa Base.IOError && ex.code == Base.UV_ENOENT) || rethrow(ex) "" end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @tes...
@@ -74,6 +74,31 @@ let @test format_filename("%a%%b") == "a%b" end +if Sys.isunix() + @testset "SIGQUIT prints task backtraces" begin + script = """ + mutable struct RLimit + cur::Int64 + max::Int64 + end + const RLIMIT_CORE = 4 # from /us...
test/cmdlineargs.jl
26
Julia
0.714
bug
112
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: Julia File: test/cmdlineargs.jl PR Title: Print task backtraces on sigquit BEFORE CODE: catch ex (ex isa Base.IOError && ex.code == Base.UV_ENOENT) || rethrow(ex) "" end end @test startswith(fn, "a$hd ") @test endswith(fn...
```suggestion errp = IOBuffer() ``` (this was previously a data race, which made this test dangerous)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @test format_filename("%a%%b") == "a%b" end if Sys.isunix() @testset "SIGQUIT prints task backtraces" begin ...
```suggestion p = open(pipeline(`$exename -e $script`, stderr=errp), "r") ```
end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.gethostname()) ", fn) @test format_filename("%a%%b") == "a%b" end if Sys.isunix() @testset "SIGQUIT prints task backtraces" begin ...
@@ -74,6 +74,32 @@ let @test format_filename("%a%%b") == "a%b" end +if Sys.isunix() + @testset "SIGQUIT prints task backtraces" begin + script = """ + mutable struct RLimit + cur::Int64 + max::Int64 + end + const RLIMIT_CORE = 4 # from /us...
test/cmdlineargs.jl
26
Julia
0.571
suggestion
87
51
51
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: Julia File: test/cmdlineargs.jl PR Title: Print task backtraces on sigquit BEFORE CODE: end end @test startswith(fn, "a$hd ") @test endswith(fn, " z") @test !occursin('%', fn) @test occursin(" $(getpid()) ", fn) @test occursin(" $(Libc.getho...
```suggestion p = open(pipeline(`$exename -e $script`, stderr=errp), "r") ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
#ifndef _OS_WINDOWS_ sigset_t sset; sigemptyset(&sset); // n.b. In `abort()`, Apple's libSystem "helpfully" blocks all signals // on all threads but SIGABRT. But we also don't know what the thread // was doing, so unblock all critical signals so that they will crash // ha...
I must gripe that having this now conditionally smashing bt_data just 5 lines before we need to use it for useful fatal backtraces is very annoying
#ifndef _OS_WINDOWS_ sigset_t sset; sigemptyset(&sset); // n.b. In `abort()`, Apple's libSystem "helpfully" blocks all signals // on all threads but SIGABRT. But we also don't know what the thread // was doing, so unblock all critical signals so that they will crash // ha...
@@ -639,6 +639,9 @@ void jl_fprint_critical_error(ios_t *s, int sig, int si_code, bt_context_t *cont jl_safe_fprintf(s, "\n[%d] signal %d (%d): %s\n", getpid(), sig, si_code, strsignal(sig)); else jl_safe_fprintf(s, "\n[%d] signal %d: %s\n", getpid(), sig, strsignal(sig)); + if...
src/signal-handling.c
26
C
0.429
suggestion
147
42
45
false
Print task backtraces on sigquit
59,389
JuliaLang/julia
35,573
Julia
vtjnash
gbaraldi
Review this pull request change. Language: C File: src/signal-handling.c PR Title: Print task backtraces on sigquit BEFORE CODE: #ifndef _OS_WINDOWS_ sigset_t sset; sigemptyset(&sset); // n.b. In `abort()`, Apple's libSystem "helpfully" blocks all signals // on all threads but SIGABR...
I must gripe that having this now conditionally smashing bt_data just 5 lines before we need to use it for useful fatal backtraces is very annoying
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> g(x) = a[] + b[] + x; julia> with(a=>10, b=>20) do g(30) end 60 julia> with(() -> a[] * b[], a=>3, b=>4) 12 ``` """ function with(f, pair::Pair{<:AbstractScopedValue}, rest::Pair{<:AbstractScopedValue}...) @with(pair, rest..., f()) end with(@nospecialize(f)) = f() macro enter_scope(scope...
i suppose we should avoid "functor" here? I suppose either ```suggestion Create a function object that records the current dynamic scope, i.e. all current `ScopedValue`s, along with `f`. When the function object is invoked, it runs `f` in the recorded dynamic scope. ```
julia> with(a=>10, b=>20) do g(30) end 60 julia> with(() -> a[] * b[], a=>3, b=>4) 12 ``` """ function with(f, pair::Pair{<:AbstractScopedValue}, rest::Pair{<:AbstractScopedValue}...) @with(pair, rest..., f()) end with(@nospecialize(f)) = f() macro enter_scope(scope, expr) Expr(:tryfinally, ...
@@ -327,4 +327,24 @@ function with(f, pair::Pair{<:AbstractScopedValue}, rest::Pair{<:AbstractScopedV end with(@nospecialize(f)) = f() +macro enter_scope(scope, expr) + Expr(:tryfinally, esc(expr), nothing, :(Scope($(esc(scope))::Union{Nothing, Scope}))) +end + +""" + ScopedThunk(f) + +Create a functor that r...
base/scopedvalues.jl
26
Julia
0.857
suggestion
280
38
36
false
ScopedValues: add ScopedThunk
59,402
JuliaLang/julia
35,573
Julia
nickrobinson251
kpamnany
Review this pull request change. Language: Julia File: base/scopedvalues.jl PR Title: ScopedValues: add ScopedThunk BEFORE CODE: julia> g(x) = a[] + b[] + x; julia> with(a=>10, b=>20) do g(30) end 60 julia> with(() -> a[] * b[], a=>3, b=>4) 12 ``` """ function with(f, pair::Pair{<:AbstractScoped...
i suppose we should avoid "functor" here? I suppose either ```suggestion Create a function object that records the current dynamic scope, i.e. all current `ScopedValue`s, along with `f`. When the function object is invoked, it runs `f` in the recorded dynamic scope. ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
Meta.unescape(expr) Peel away `:escape` expressions and redundant block expressions (see [`unblock`](@ref)). """ function unescape(@nospecialize ex) ex = unblock(ex) while isexpr(ex, :escape) || isexpr(ex, :var"hygienic-scope") ex = unblock(ex.args[1]) end return ex end """ Meta.reescap...
```suggestion next, ctx... = original_expr.args return reescape(Expr(:var"hygienic-scope", unescaped_expr, ctx...), next) ``` (there is technically a third optional argument of the source location to mark for inlining of the location of the original call to the macro)
Meta.unescape(expr) Peel away `:escape` expressions and redundant block expressions (see [`unblock`](@ref)). """ function unescape(@nospecialize ex) ex = unblock(ex) while isexpr(ex, :escape) || isexpr(ex, :var"hygienic-scope") ex = unblock(ex.args[1]) end return ex end """ Meta.reescap...
@@ -636,8 +636,11 @@ This is the inverse operation of [`unescape`](@ref) - if the original expression was escaped, the unescaped expression is wrapped in `:escape` again. """ function reescape(@nospecialize(unescaped_expr), @nospecialize(original_expr)) - if isexpr(original_expr, :escape) || isexpr(original_expr,...
base/meta.jl
26
Julia
0.786
security
288
40
40
false
Fix rebasing bug for `Meta.reescape`
59,409
JuliaLang/julia
35,573
Julia
vtjnash
serenity4
Review this pull request change. Language: Julia File: base/meta.jl PR Title: Fix rebasing bug for `Meta.reescape` BEFORE CODE: Meta.unescape(expr) Peel away `:escape` expressions and redundant block expressions (see [`unblock`](@ref)). """ function unescape(@nospecialize ex) ex = unblock(ex) while ise...
```suggestion next, ctx... = original_expr.args return reescape(Expr(:var"hygienic-scope", unescaped_expr, ctx...), next) ``` (there is technically a third optional argument of the source location to mark for inlining of the location of the original call to the macro)
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
using Test const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test") isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "testhelpers", "FakePTYs.jl")) import .Main.FakePTYs: with_fake_pty @testset "Bad history file startup" begin mktempdir() do tmpdir # Create a...
```suggestion output = readuntil(ptm, "julia> ", keep=true) println("====== subprocess output ======") println(output) println("====== end subprocess output ======") ```
using Test const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test") isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "testhelpers", "FakePTYs.jl")) import .Main.FakePTYs: with_fake_pty @testset "Bad history file startup" begin mktempdir() do tmpdir # Create a...
@@ -0,0 +1,71 @@ +# This file is a part of Julia. License is MIT: https://julialang.org/license + +# Test that interactive mode starts up without error when history file is bad + +using Test + +const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test") +isdefined(Main, :FakePTYs) || @eval Main include(...
stdlib/REPL/test/bad_history_startup.jl
26
Julia
0.786
suggestion
222
51
51
false
Fix startup when history file is bad
59,418
JuliaLang/julia
35,573
Julia
IanButterworth
IanButterworth
Review this pull request change. Language: Julia File: stdlib/REPL/test/bad_history_startup.jl PR Title: Fix startup when history file is bad BEFORE CODE: using Test const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test") isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PAT...
```suggestion output = readuntil(ptm, "julia> ", keep=true) println("====== subprocess output ======") println(output) println("====== end subprocess output ======") ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "testhelpers", "FakePTYs.jl")) import .Main.FakePTYs: with_fake_pty @testset "Bad history file startup" begin mktempdir() do tmpdir # Create a bad history file hist_file = joinpath(tmpdir, "repl_history.jl") write(...
```suggestion # println("====== subprocess output ======") # println(output) # println("====== end subprocess output ======") ```
isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "testhelpers", "FakePTYs.jl")) import .Main.FakePTYs: with_fake_pty @testset "Bad history file startup" begin mktempdir() do tmpdir # Create a bad history file hist_file = joinpath(tmpdir, "repl_history.jl") write(...
@@ -0,0 +1,74 @@ +# This file is a part of Julia. License is MIT: https://julialang.org/license + +# Test that interactive mode starts up without error when history file is bad + +using Test + +const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test") +isdefined(Main, :FakePTYs) || @eval Main include(...
stdlib/REPL/test/bad_history_startup.jl
26
Julia
0.714
suggestion
166
51
51
false
Fix startup when history file is bad
59,418
JuliaLang/julia
35,573
Julia
IanButterworth
IanButterworth
Review this pull request change. Language: Julia File: stdlib/REPL/test/bad_history_startup.jl PR Title: Fix startup when history file is bad BEFORE CODE: isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "testhelpers", "FakePTYs.jl")) import .Main.FakePTYs: with_fake_pty @testset "Bad h...
```suggestion # println("====== subprocess output ======") # println(output) # println("====== end subprocess output ======") ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
symdiff!(v::AbstractVector{T}, itrs...) where {T} = _grow!(_shrink_filter!(symdiff!(Set{T}(), v, itrs...)), v, itrs) function _shrink!(shrinker!::F, v::AbstractVector, itrs) where F seen = Set{eltype(v)}() filter!(_grow_filter!(seen), v) shrinker!(seen, itrs...) filter!(in(seen), v) end intersect...
Would this work? Possibly I'm misunderstanding something, but I don't see why is promotion necessary, given that `setdiff!` never adds elements to the set. ```suggestion T = eltype(itr) keep = setdiff!(Set{T}(itr), itrs...) vectorfilter(T, _shrink_filter!(keep), itr) ```
symdiff!(v::AbstractVector{T}, itrs...) where {T} = _grow!(_shrink_filter!(symdiff!(Set{T}(), v, itrs...)), v, itrs) function _shrink!(shrinker!::F, v::AbstractVector, itrs) where F seen = Set{eltype(v)}() filter!(_grow_filter!(seen), v) shrinker!(seen, itrs...) filter!(in(seen), v) end intersect...
@@ -3133,14 +3133,17 @@ setdiff!( v::AbstractVector, itrs...) = _shrink!(setdiff!, v, itrs) vectorfilter(T::Type, f, v) = T[x for x in v if f(x)] -function _shrink(shrinker!::F, itr, itrs) where F +function intersect(itr, itrs...) T = promote_eltype(itr, itrs...) - keep = shrinker!(Set{T}(itr), itrs...) +...
base/array.jl
26
Julia
0.929
suggestion
290
51
51
false
setdiff preserves eltype
59,439
JuliaLang/julia
35,573
Julia
nsajko
adienes
Review this pull request change. Language: Julia File: base/array.jl PR Title: setdiff preserves eltype BEFORE CODE: symdiff!(v::AbstractVector{T}, itrs...) where {T} = _grow!(_shrink_filter!(symdiff!(Set{T}(), v, itrs...)), v, itrs) function _shrink!(shrinker!::F, v::AbstractVector, itrs) where F seen = ...
Would this work? Possibly I'm misunderstanding something, but I don't see why is promotion necessary, given that `setdiff!` never adds elements to the set. ```suggestion T = eltype(itr) keep = setdiff!(Set{T}(itr), itrs...) vectorfilter(T, _shrink_filter!(keep), itr) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
c = MPZ.scan0(x, 0) c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(...
```suggestion # Assumes `x != 0`. Computes top_set_bit(abs(x)). ``` I know this is a common comment style in some packages but afaik it's not common in Base
c = MPZ.scan0(x, 0) c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(...
@@ -605,10 +605,14 @@ Number of ones in the binary representation of abs(x). """ count_ones_abs(x::BigInt) = iszero(x) ? 0 : MPZ.mpn_popcount(x) +"Assumes `x != 0`. Computes top_set_bit(abs(x))."
base/gmp.jl
26
Julia
0.714
suggestion
161
51
51
false
New `prod(::AbstractArray{BigInt})` implementation
59,456
JuliaLang/julia
35,573
Julia
adienes
LilithHafner
Review this pull request change. Language: Julia File: base/gmp.jl PR Title: New `prod(::AbstractArray{BigInt})` implementation BEFORE CODE: c = MPZ.scan0(x, 0) c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && th...
```suggestion # Assumes `x != 0`. Computes top_set_bit(abs(x)). ``` I know this is a common comment style in some packages but afaik it's not common in Base
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(x::BigInt) c = MPZ.popcount(~x) c == -1 && throw(DomainError(x, "`x` must be negative")) ...
for `prod` it seems like we probably don't need to compute the size this accurately. We can probably just use `abs(x.size)`
end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(x::BigInt) c = MPZ.popcount(~x) c == -1 && throw(DomainError(x, "`x` must be negative")) ...
@@ -605,10 +605,14 @@ Number of ones in the binary representation of abs(x). """ count_ones_abs(x::BigInt) = iszero(x) ? 0 : MPZ.mpn_popcount(x) +"Assumes `x != 0`. Computes top_set_bit(abs(x))." +function _top_set_bit(x::BigInt) + abs(x.size) * BITS_PER_LIMB - GC.@preserve x leading_zeros(unsafe_load(x.d, abs(x...
base/gmp.jl
26
Julia
0.571
suggestion
123
51
51
false
New `prod(::AbstractArray{BigInt})` implementation
59,456
JuliaLang/julia
35,573
Julia
oscardssmith
LilithHafner
Review this pull request change. Language: Julia File: base/gmp.jl PR Title: New `prod(::AbstractArray{BigInt})` implementation BEFORE CODE: end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provi...
for `prod` it seems like we probably don't need to compute the size this accurately. We can probably just use `abs(x.size)`
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
powermod(x::Integer, p::Integer, m::BigInt) = powermod(big(x), big(p), m) function gcdx(a::BigInt, b::BigInt) g, s, t = MPZ.gcdext(a, b) if t == 0 # work around a difference in some versions of GMP if a == b return g, t, s elseif abs(a)==abs(b) return g, t, -s ...
maybe add a fast path for `iszero(arr[i])` that skips all the multiplications?
g, s, t = MPZ.gcdext(a, b) if t == 0 # work around a difference in some versions of GMP if a == b return g, t, s elseif abs(a)==abs(b) return g, t, -s end end g, s, t end +(x::BigInt, y::BigInt, rest::BigInt...) = sum(tuple(x, y, rest...)) sum(arr...
@@ -680,24 +684,33 @@ sum(arr::Union{AbstractArray{BigInt}, Tuple{BigInt, Vararg{BigInt}}}) = foldl(MPZ.add!, arr; init=BigInt(0)) function prod(arr::AbstractArray{BigInt}) - # compute first the needed number of bits for the result, - # to avoid re-allocations; - # GMP will always request n+m limbs for...
base/gmp.jl
26
Julia
0.357
question
78
51
51
false
New `prod(::AbstractArray{BigInt})` implementation
59,456
JuliaLang/julia
35,573
Julia
oscardssmith
LilithHafner
Review this pull request change. Language: Julia File: base/gmp.jl PR Title: New `prod(::AbstractArray{BigInt})` implementation BEFORE CODE: powermod(x::Integer, p::Integer, m::BigInt) = powermod(big(x), big(p), m) function gcdx(a::BigInt, b::BigInt) g, s, t = MPZ.gcdext(a, b) if t == 0 # work aro...
maybe add a fast path for `iszero(arr[i])` that skips all the multiplications?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
end # Check if method1 is more specific than method2 via the interference graph function method_morespecific_via_interferences(method1::Method, method2::Method) if method1 === method2 return false end # Check direct interferences first if method_in_interferences(method2, method1) retur...
Let's delete those unnecessary comments. We should probably explicitly declare the preference for self-explaining code over randomly scattered commets.
end # Check if method1 is more specific than method2 via the interference graph function method_morespecific_via_interferences(method1::Method, method2::Method) if method1 === method2 return false end # Check direct interferences first if method_in_interferences(method2, method1) retur...
@@ -426,35 +426,52 @@ function method_morespecific_via_interferences(method1::Method, method2::Method) if method1 === method2 return false end - ms = method_in_interferences_recursive(method1, method2, IdSet{Method}()) - # slow check: @assert ms === morespecific(method1, method2) || typeinterse...
Compiler/src/reinfer.jl
26
Julia
0.429
suggestion
151
51
51
false
convert more recursive algorithms from stack to heap space (iterative)
59,482
JuliaLang/julia
35,573
Julia
aviatesk
vtjnash
Review this pull request change. Language: Julia File: Compiler/src/reinfer.jl PR Title: convert more recursive algorithms from stack to heap space (iterative) BEFORE CODE: end # Check if method1 is more specific than method2 via the interference graph function method_morespecific_via_interferences(method1::Method...
Let's delete those unnecessary comments. We should probably explicitly declare the preference for self-explaining code over randomly scattered commets.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
#else munmap((void *)data, len); #endif } // From a shared library handle, verify consistency and return a jl_image_buf_t static jl_image_buf_t get_image_buf(void *handle, int is_pkgimage) { // verify that the linker resolved the symbols in this image against ourselves (libjulia-internal) void** (*get_jl_R...
Is this correct if the first word of the `jl_image_unpack` function body happens to be NULL?
munmap((void *)data, len); #endif } // From a shared library handle, verify consistency and return a jl_image_buf_t static jl_image_buf_t get_image_buf(void *handle, int is_pkgimage) { // verify that the linker resolved the symbols in this image against ourselves (libjulia-internal) void** (*get_jl_RTLD_DE...
@@ -3722,19 +3721,17 @@ static jl_image_buf_t get_image_buf(void *handle, int is_pkgimage) }; // verification passed, lookup the buffer pointers - if (jl_system_image_size == 0 || is_pkgimage) { + if (jl_image_unpack == NULL || is_pkgimage) {
src/staticdata.c
26
C
0.5
question
92
51
51
false
Allow linking a system image with jl_image_unpack with libjulia
59,498
JuliaLang/julia
35,573
Julia
topolarity
xal-0
Review this pull request change. Language: C File: src/staticdata.c PR Title: Allow linking a system image with jl_image_unpack with libjulia BEFORE CODE: #else munmap((void *)data, len); #endif } // From a shared library handle, verify consistency and return a jl_image_buf_t static jl_image_buf_t get_image_bu...
Is this correct if the first word of the `jl_image_unpack` function body happens to be NULL?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return k - exponent_bias(T) end # Like exponent, but assumes the nothrow precondition. For # internal use only. Could be written as # @assume_effects :nothrow exponent() # but currently this form is easier on the compiler. function _exponent_finite_nonzero(x::T) where T<:IEEEFloat # @precond :nothrow !isnan(x)...
is the compiler figurign out that d is a power of 2?
# Like exponent, but assumes the nothrow precondition. For # internal use only. Could be written as # @assume_effects :nothrow exponent() # but currently this form is easier on the compiler. function _exponent_finite_nonzero(x::T) where T<:IEEEFloat # @precond :nothrow !isnan(x) && !isinf(x) && !iszero(x) xs = ...
@@ -980,6 +980,26 @@ function _exponent_finite_nonzero(x::T) where T<:IEEEFloat return k - exponent_bias(T) end +function _ilog2_step(y::T, d::T, s) where {T<:Integer} + if fld(y, d) ≥ d + y, n = _ilog2_step(y, d*d, s+s) + else + n = 0 + end + if y ≥ d + y = fld(y, d)
base/math.jl
26
Julia
0.214
question
52
51
51
false
fix `exponent` and `top_set_bit` fallbacks for `Integer`
59,508
JuliaLang/julia
35,573
Julia
oscardssmith
adienes
Review this pull request change. Language: Julia File: base/math.jl PR Title: fix `exponent` and `top_set_bit` fallbacks for `Integer` BEFORE CODE: return k - exponent_bias(T) end # Like exponent, but assumes the nothrow precondition. For # internal use only. Could be written as # @assume_effects :nothrow exp...
is the compiler figurign out that d is a power of 2?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(x::BigInt) c = MPZ.p...
Isn't this function equivalent to `MPZ.sizeinbase(x, 2)`? The [MPZ docs](https://gmplib.org/manual/Miscellaneous-Integer-Functions#index-mpz_005fsizeinbase) say > It will be noted that mpz_sizeinbase(op,2) can be used to locate the most significant 1 bit in op, counting from 1.
c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x, "`x` cannot be negative")) c end # generic definition is not used to provide a better error message function count_zeros(x::BigInt) c = MPZ.p...
@@ -605,10 +605,18 @@ Number of ones in the binary representation of abs(x). """ count_ones_abs(x::BigInt) = iszero(x) ? 0 : MPZ.mpn_popcount(x) +_bit_magnitude(x::BigInt) = x.size * sizeof(Limb) << 3 - leading_zeros(GC.@preserve x unsafe_load(x.d, x.size))
base/gmp.jl
26
Julia
0.643
question
280
51
51
false
fix `exponent` and `top_set_bit` fallbacks for `Integer`
59,508
JuliaLang/julia
35,573
Julia
barucden
adienes
Review this pull request change. Language: Julia File: base/gmp.jl PR Title: fix `exponent` and `top_set_bit` fallbacks for `Integer` BEFORE CODE: c == -1 && throw(DomainError(x, "`x` must not be equal to -1")) c end function count_ones(x::BigInt) c = MPZ.popcount(x) c == -1 && throw(DomainError(x...
Isn't this function equivalent to `MPZ.sizeinbase(x, 2)`? The [MPZ docs](https://gmplib.org/manual/Miscellaneous-Integer-Functions#index-mpz_005fsizeinbase) say > It will be noted that mpz_sizeinbase(op,2) can be used to locate the most significant 1 bit in op, counting from 1.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
show_type(io, alg) print(io, '(') for (i, name) in enumerate(fieldnames(typeof(alg))) arg = getproperty(alg, name) i > 1 && print(io, ',') if arg isa Algorithm println(io) print_tree(io, arg, cols+1) else i > 1 && print(io, ' ') ...
Documenting `rev::Bool=false` is a lie, but it is a pretty reasonable lie to lie. `rev::Bool` is the API we want, `rev::Union{Bool, Nothing}=nothing` where `nothing` is an alias for `false` is a cludgy performance workaround that could hopefully someday (maybe already) be removed when constant propagation is sufficient...
show_type(io, alg) print(io, '(') for (i, name) in enumerate(fieldnames(typeof(alg))) arg = getproperty(alg, name) i > 1 && print(io, ',') if arg isa Algorithm println(io) print_tree(io, arg, cols+1) else i > 1 && print(io, ' ') ...
@@ -1623,7 +1623,7 @@ defalg(v::AbstractArray{Union{}}) = DEFAULT_UNSTABLE # for method disambiguation defalg(v) = DEFAULT_STABLE """ - sort!(v; alg::Base.Sort.Algorithm=Base.Sort.defalg(v), lt=isless, by=identity, rev::Bool=false, order::Base.Order.Ordering=Base.Order.Forward) + sort!(v; alg::Base.Sort.Algor...
base/sort.jl
26
Julia
0.786
performance
420
51
51
false
fix several minor issues in docstrings and comments
59,531
JuliaLang/julia
35,573
Julia
LilithHafner
adienes
Review this pull request change. Language: Julia File: base/sort.jl PR Title: fix several minor issues in docstrings and comments BEFORE CODE: show_type(io, alg) print(io, '(') for (i, name) in enumerate(fieldnames(typeof(alg))) arg = getproperty(alg, name) i > 1 && print(io, ',') ...
Documenting `rev::Bool=false` is a lie, but it is a pretty reasonable lie to lie. `rev::Bool` is the API we want, `rev::Union{Bool, Nothing}=nothing` where `nothing` is an alias for `false` is a cludgy performance workaround that could hopefully someday (maybe already) be removed when constant propagation is sufficient...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
if length(parsed) >= 1 && isa(parsed[1], Tuple{Cmd}) cmd = (parsed[1]::Tuple{Cmd})[1] (ignorestatus, flags, env, dir, cpus, uid, gid) = (cmd.ignorestatus, cmd.flags, cmd.env, cmd.dir, cmd.cpus, cmd.uid, cmd.gid) append!(args, cmd.exec) for arg in tail(parsed) append!(args...
```suggestion Similar to ``` `str` ```, generate a `Cmd` from the `str` string which represents the shell command(s) to be executed. ```
if length(parsed) >= 1 && isa(parsed[1], Tuple{Cmd}) cmd = (parsed[1]::Tuple{Cmd})[1] (ignorestatus, flags, env, dir, cpus, uid, gid) = (cmd.ignorestatus, cmd.flags, cmd.env, cmd.dir, cmd.cpus, cmd.uid, cmd.gid) append!(args, cmd.exec) for arg in tail(parsed) append!(args...
@@ -562,7 +562,7 @@ end """ @cmd str -Similar to ``` `str` ```, generate a `Cmd` from the `str` string which represents the shell command(s) to be executed. +Similar to `` `str` ``, generate a `Cmd` from the `str` string which represents the shell command(s) to be executed.
base/cmd.jl
26
Julia
0.714
suggestion
138
43
43
false
fix several minor issues in docstrings and comments
59,531
JuliaLang/julia
35,573
Julia
adienes
adienes
Review this pull request change. Language: Julia File: base/cmd.jl PR Title: fix several minor issues in docstrings and comments BEFORE CODE: if length(parsed) >= 1 && isa(parsed[1], Tuple{Cmd}) cmd = (parsed[1]::Tuple{Cmd})[1] (ignorestatus, flags, env, dir, cpus, uid, gid) = (cmd.ignorestatus,...
```suggestion Similar to ``` `str` ```, generate a `Cmd` from the `str` string which represents the shell command(s) to be executed. ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
@inbounds _unsetindex!(a, j) end elseif !prefer_start && memlen >= newmemlen unsafe_copyto!(mem, offset - 1 + delta + i, mem, offset - 1 + i, len - i + 1) for j in i:i+delta-1 @inbounds _unsetindex!(a, j) end else # since we will allocate the array...
If it has to be formatted like this anyway, it feels a normal `if end` would work better.
@inbounds _unsetindex!(a, j) end elseif !prefer_start && memlen >= newmemlen unsafe_copyto!(mem, offset - 1 + delta + i, mem, offset - 1 + i, len - i + 1) for j in i:i+delta-1 @inbounds _unsetindex!(a, j) end else # since we will allocate the array...
@@ -1264,7 +1264,10 @@ end function _deletebeg!(a::Vector, delta::Integer) delta = Int(delta) len = length(a) - 0 <= delta <= len || throw(ArgumentError("_deletebeg! requires delta in 0:length(a)")) + # See comment in _deleteend! + unsigned(delta) > unsigned(len) && throw(
base/array.jl
26
Julia
0.429
style
89
51
51
false
Help compiler know integer bounds in vector resizing ops
59,540
JuliaLang/julia
35,573
Julia
KristofferC
jakobnissen
Review this pull request change. Language: Julia File: base/array.jl PR Title: Help compiler know integer bounds in vector resizing ops BEFORE CODE: @inbounds _unsetindex!(a, j) end elseif !prefer_start && memlen >= newmemlen unsafe_copyto!(mem, offset - 1 + delta + i, mem, offset - ...
If it has to be formatted like this anyway, it feels a normal `if end` would work better.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
stmt_val = LiftedValue(lifted_philikes[reverse_mapping[stmt_val]].ssa) else error() end return Pair{Any, PhiNest}(stmt_val, PhiNest(visited_philikes, lifted_philikes, lifted_leaves, reverse_mapping, walker_callback)) end function lift_apply_args!(compact::IncrementalCompact, idx::Int, stmt...
```suggestion if 0 < tuple_length <= tuple_length && !isvarargtype(arg_type.parameters[end]) # reasonable limit ```
stmt_val = LiftedValue(lifted_philikes[reverse_mapping[stmt_val]].ssa) else error() end return Pair{Any, PhiNest}(stmt_val, PhiNest(visited_philikes, lifted_philikes, lifted_leaves, reverse_mapping, walker_callback)) end function lift_apply_args!(compact::IncrementalCompact, idx::Int, stmt...
@@ -874,6 +874,49 @@ function perform_lifting!(compact::IncrementalCompact, return Pair{Any, PhiNest}(stmt_val, PhiNest(visited_philikes, lifted_philikes, lifted_leaves, reverse_mapping, walker_callback)) end +function lift_apply_args!(compact::IncrementalCompact, idx::Int, stmt::Expr, 𝕃ₒ::AbstractLattice) + ...
Compiler/src/ssair/passes.jl
26
Julia
0.857
suggestion
133
51
51
false
optimizations: better modeling and codegen for apply and svec calls
59,548
JuliaLang/julia
35,573
Julia
aviatesk
vtjnash
Review this pull request change. Language: Julia File: Compiler/src/ssair/passes.jl PR Title: optimizations: better modeling and codegen for apply and svec calls BEFORE CODE: stmt_val = LiftedValue(lifted_philikes[reverse_mapping[stmt_val]].ssa) else error() end return Pair{Any, PhiNest...
```suggestion if 0 < tuple_length <= tuple_length && !isvarargtype(arg_type.parameters[end]) # reasonable limit ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return :other else a = ex.args[1] if a isa String return fl_incomplete_tag(a)::Symbol else return incomplete_tag(a)::Symbol end end end incomplete_tag(exc::Meta.ParseError) = incomplete_tag(exc.detail) function exec_options(opts) startup ...
If it’s already `:full` I guess we shouldn’t downgrade it?
return :other else a = ex.args[1] if a isa String return fl_incomplete_tag(a)::Symbol else return incomplete_tag(a)::Symbol end end end incomplete_tag(exc::Meta.ParseError) = incomplete_tag(exc.detail) function exec_options(opts) startup ...
@@ -236,6 +236,20 @@ function exec_options(opts) global have_color = colored_text(opts) global is_interactive = (opts.isinteractive != 0) + # Enable verbose debugging options when requested by other frameworks + debug_env_vars = ( + "RUNNER_DEBUG", # github actions when UI "debug logging"...
base/client.jl
26
Julia
0.429
question
58
51
51
false
Enable verbose debugging when github actions etc. requests it
59,551
JuliaLang/julia
35,573
Julia
ericphanson
IanButterworth
Review this pull request change. Language: Julia File: base/client.jl PR Title: Enable verbose debugging when github actions etc. requests it BEFORE CODE: return :other else a = ex.args[1] if a isa String return fl_incomplete_tag(a)::Symbol else return inc...
If it’s already `:full` I guess we shouldn’t downgrade it?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
jl_init_threading(); jl_init_threadinginfra(); if (jl_options.handle_signals == JL_OPTIONS_HANDLE_SIGNALS_ON) jl_install_default_signal_handlers(); jl_gc_init(); arraylist_new(&jl_linkage_blobs, 0); arraylist_new(&jl_image_relocs, 0); arraylist_new(&jl_top_mods, 0); arraylist_n...
The ordering before seems quite intentional since `jl_init_root_task` uses `jl_nothing`. So now the root task is storing an uninitialized pointer in places and later we use pointer identity checks "val == jl_nothing".
jl_init_threading(); jl_init_threadinginfra(); if (jl_options.handle_signals == JL_OPTIONS_HANDLE_SIGNALS_ON) jl_install_default_signal_handlers(); jl_gc_init(); arraylist_new(&jl_linkage_blobs, 0); arraylist_new(&jl_image_relocs, 0); arraylist_new(&jl_top_mods, 0); arraylist_n...
@@ -775,13 +775,13 @@ JL_DLLEXPORT void jl_init_(jl_image_buf_t sysimage) // enable before creating the root task so it gets timings too. jl_atomic_fetch_add(&jl_task_metrics_enabled, 1); } + // warning: this changes `jl_current_task`, so be careful not to call that from this function + jl_...
src/init.c
26
C
0.643
suggestion
221
40
40
false
Adding `ptls` argument to `permobj`
59,555
JuliaLang/julia
35,573
Julia
vchuravy
udesou
Review this pull request change. Language: C File: src/init.c PR Title: Adding `ptls` argument to `permobj` BEFORE CODE: jl_init_threading(); jl_init_threadinginfra(); if (jl_options.handle_signals == JL_OPTIONS_HANDLE_SIGNALS_ON) jl_install_default_signal_handlers(); jl_gc_init(); arr...
The ordering before seems quite intentional since `jl_init_root_task` uses `jl_nothing`. So now the root task is storing an uninitialized pointer in places and later we use pointer identity checks "val == jl_nothing".
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
return Base.get_world_counter() end let llvm = sprint(code_llvm, world_counter, ()) # check that we got a reasonable value for the world age @test (world_counter() != 0) && (world_counter() != -1) # no call to the runtime should be left over @test !occursin("call i64", llvm) # the world age shou...
An equivalent C program works: ```julia julia> cc = `cc`; julia> program = raw""" #define _GNU_SOURCE #include <dlfcn.h> #include <stdio.h> #include <stdlib.h> int main(void) { void *h = dlopen("./libccalltest.so", RTLD_LAZY); if (!h) { fprintf(s...
return Base.get_world_counter() end let llvm = sprint(code_llvm, world_counter, ()) # check that we got a reasonable value for the world age @test (world_counter() != 0) && (world_counter() != -1) # no call to the runtime should be left over @test !occursin("call i64", llvm) # the world age shou...
@@ -1981,8 +1981,6 @@ let llvm = sprint(code_llvm, gc_safe_ccall, ()) end @testset "jl_dlfind and dlsym" begin - # We shouldn't be able to call libc functions through libccalltest - @test_throws ErrorException ccall((:sqrt, libccalltest), Cdouble, (Cdouble,), 2.0)
test/ccall.jl
26
Julia
1
bug
1,503
51
51
false
Use jl_dlsym with search_deps=1 for ccalls
59,560
JuliaLang/julia
35,573
Julia
giordano
xal-0
Review this pull request change. Language: Julia File: test/ccall.jl PR Title: Use jl_dlsym with search_deps=1 for ccalls BEFORE CODE: return Base.get_world_counter() end let llvm = sprint(code_llvm, world_counter, ()) # check that we got a reasonable value for the world age @test (world_counter() != 0)...
An equivalent C program works: ```julia julia> cc = `cc`; julia> program = raw""" #define _GNU_SOURCE #include <dlfcn.h> #include <stdio.h> #include <stdlib.h> int main(void) { void *h = dlopen("./libccalltest.so", RTLD_LAZY); if (!h) { fprintf(s...
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license # RUN: julia --startup-file=no --check-bounds=yes %s %t -O # RUN: cat %t/* | FileCheck %s include(joinpath("..", "testhelpers", "llvmpasses.jl")) # Test for GenericMemoryRef address space bug # Issue: stores incorrectly use addrspace(10) in...
```suggestion emit(bf, Int, Vector{Float64}) ```
# This file is a part of Julia. License is MIT: https://julialang.org/license # RUN: julia --startup-file=no --check-bounds=yes %s %t -O # RUN: cat %t/* | FileCheck %s include(joinpath("..", "testhelpers", "llvmpasses.jl")) # Test for GenericMemoryRef address space bug # Issue: stores incorrectly use addrspace(10) in...
@@ -0,0 +1,21 @@ +# This file is a part of Julia. License is MIT: https://julialang.org/license +# RUN: julia --startup-file=no --check-bounds=yes %s %t -O +# RUN: cat %t/* | FileCheck %s + +include(joinpath("..", "testhelpers", "llvmpasses.jl")) + +# Test for GenericMemoryRef address space bug +# Issue: stores incorre...
test/llvmpasses/memoryref-addrspace.jl
21
Julia
0.571
suggestion
50
22
22
false
add GenericMemoryRef address space regression test
59,568
JuliaLang/julia
35,573
Julia
vtjnash
fjralf
Review this pull request change. Language: Julia File: test/llvmpasses/memoryref-addrspace.jl PR Title: add GenericMemoryRef address space regression test BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license # RUN: julia --startup-file=no --check-bounds=yes %s %t -O # RUN: cat ...
```suggestion emit(bf, Int, Vector{Float64}) ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# This file is a part of Julia. License is MIT: https://julialang.org/license # macro wrappers for various reflection functions using Base: insert!, replace_ref_begin_end!, infer_return_type, infer_exception_type, infer_effects, code_ircode, isexpr # defined in Base so it's possible to time all imports, includin...
Can you explain more about this ambiguity? `typeof` should never yield a (naked) `Vararg{...}` afaik
# This file is a part of Julia. License is MIT: https://julialang.org/license # macro wrappers for various reflection functions using Base: insert!, replace_ref_begin_end!, infer_return_type, infer_exception_type, infer_effects, code_ircode, isexpr # defined in Base so it's possible to time all imports, includin...
@@ -9,8 +9,34 @@ using Base: insert!, replace_ref_begin_end!, # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch -typesof_expr(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:(Tuple{$(Any[esc(reescape(get_typeof, a)) for a in args]......
stdlib/InteractiveUtils/src/macros.jl
24
Julia
0.714
suggestion
101
49
49
false
InteractiveUtils: Support unannotated values after `Vararg` type annotation
59,594
JuliaLang/julia
35,573
Julia
topolarity
serenity4
Review this pull request change. Language: Julia File: stdlib/InteractiveUtils/src/macros.jl PR Title: InteractiveUtils: Support unannotated values after `Vararg` type annotation BEFORE CODE: # This file is a part of Julia. License is MIT: https://julialang.org/license # macro wrappers for various reflection funct...
Can you explain more about this ambiguity? `typeof` should never yield a (naked) `Vararg{...}` afaik
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
infer_return_type, infer_exception_type, infer_effects, code_ircode, isexpr # defined in Base so it's possible to time all imports, including InteractiveUtils and its deps # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch typesof_expr(args::Vector{Any}, where_params::Uni...
Looks like these are unused now?
infer_return_type, infer_exception_type, infer_effects, code_ircode, isexpr # defined in Base so it's possible to time all imports, including InteractiveUtils and its deps # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch typesof_expr(args::Vector{Any}, where_params::Uni...
@@ -9,8 +9,26 @@ using Base: insert!, replace_ref_begin_end!, # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch -typesof_expr(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:(Tuple{$(Any[esc(reescape(get_typeof, a)) for a in args]......
stdlib/InteractiveUtils/src/macros.jl
26
Julia
0.143
question
32
51
51
false
InteractiveUtils: Support unannotated values after `Vararg` type annotation
59,594
JuliaLang/julia
35,573
Julia
topolarity
serenity4
Review this pull request change. Language: Julia File: stdlib/InteractiveUtils/src/macros.jl PR Title: InteractiveUtils: Support unannotated values after `Vararg` type annotation BEFORE CODE: infer_return_type, infer_exception_type, infer_effects, code_ircode, isexpr # defined in Base so it's possible to time ...
Looks like these are unused now?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_type(Any[$(Any[reescape(get_typeof, a) for a in args]...)])), where_params) function make_tuple_type(types::Vector{Any}) vararg = -1 for i in eachindex(types) i == 1 && continue #...
Not sure if we need to add more conditions in there. That seems to do the trick for most cases.
typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_type(Any[$(Any[reescape(get_typeof, a) for a in args]...)])), where_params) function make_tuple_type(types::Vector{Any}) vararg = -1 for i in eachindex(types) i == 1 && continue #...
@@ -9,8 +9,33 @@ using Base: insert!, replace_ref_begin_end!, # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch -typesof_expr(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:(Tuple{$(Any[esc(reescape(get_typeof, a)) for a in args]......
stdlib/InteractiveUtils/src/macros.jl
26
Julia
0.214
suggestion
95
51
51
false
InteractiveUtils: Support unannotated values after `Vararg` type annotation
59,594
JuliaLang/julia
35,573
Julia
serenity4
serenity4
Review this pull request change. Language: Julia File: stdlib/InteractiveUtils/src/macros.jl PR Title: InteractiveUtils: Support unannotated values after `Vararg` type annotation BEFORE CODE: typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_...
Not sure if we need to add more conditions in there. That seems to do the trick for most cases.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_type(Any[$(Any[reescape(get_typeof, a) for a in args]...)])), where_params) function make_tuple_type(types::Vector{Any}) vararg = -1 for i in eachindex(types) i == 1 && continue #...
```suggestion skip_type_check(@nospecialize(T)) = Core.has_free_typevars(T) ``` I believe this case is already covered for you: ```julia julia> Core.has_free_typevars(Core.TypeVar(:X)) true ```
typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_type(Any[$(Any[reescape(get_typeof, a) for a in args]...)])), where_params) function make_tuple_type(types::Vector{Any}) vararg = -1 for i in eachindex(types) i == 1 && continue #...
@@ -9,8 +9,33 @@ using Base: insert!, replace_ref_begin_end!, # via. `Base.@time_imports` etc. import Base: @time_imports, @trace_compile, @trace_dispatch -typesof_expr(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:(Tuple{$(Any[esc(reescape(get_typeof, a)) for a in args]......
stdlib/InteractiveUtils/src/macros.jl
26
Julia
0.929
suggestion
202
51
51
false
InteractiveUtils: Support unannotated values after `Vararg` type annotation
59,594
JuliaLang/julia
35,573
Julia
topolarity
serenity4
Review this pull request change. Language: Julia File: stdlib/InteractiveUtils/src/macros.jl PR Title: InteractiveUtils: Support unannotated values after `Vararg` type annotation BEFORE CODE: typesof_expr_unescaped(args::Vector{Any}, where_params::Union{Nothing, Vector{Any}} = nothing) = rewrap_where(:($make_tuple_...
```suggestion skip_type_check(@nospecialize(T)) = Core.has_free_typevars(T) ``` I believe this case is already covered for you: ```julia julia> Core.has_free_typevars(Core.TypeVar(:X)) true ```
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a value as Union{}") @noinline _invalid_base(base) = throw(ArgumentError("invalid base: base must be 2 ≤ base ≤ 62, got $base")) @noinline _invalid_dig...
```suggestion codepoint - UInt8('A') + UInt8(10) # + 10 for the 10 digits ``` Given that the comment is referring to "10" and the other UInt8s around here are expressed as conversion from more semantically clear types.
julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a value as Union{}") @noinline function _invalid_base(base) throw(ArgumentError("invalid base: base must be 2 ≤ base ≤ 62, got $base")) end @noinl...
@@ -38,14 +38,42 @@ julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a value as Union{}") -function parse(::Type{T}, c::AbstractChar; base::Integer = 10) where T<:Integer - a::Int = (base <= 36 ? 10 : 36) - 2 <= ...
base/parse.jl
26
Julia
0.929
suggestion
229
51
51
false
Improve char to int parsing, and add `tryparse` method
59,603
JuliaLang/julia
35,573
Julia
LilithHafner
jakobnissen
Review this pull request change. Language: Julia File: base/parse.jl PR Title: Improve char to int parsing, and add `tryparse` method BEFORE CODE: julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a...
```suggestion codepoint - UInt8('A') + UInt8(10) # + 10 for the 10 digits ``` Given that the comment is referring to "10" and the other UInt8s around here are expressed as conversion from more semantically clear types.
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3") 0.0012 julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = erro...
TBH I find this style more clear than the style introduced in this PR
```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3") 0.0012 julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = erro...
@@ -38,14 +38,42 @@ julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a value as Union{}") -function parse(::Type{T}, c::AbstractChar; base::Integer = 10) where T<:Integer - a::Int = (base <= 36 ? 10 : 36) - 2 <= ...
base/parse.jl
26
Julia
0.214
style
69
51
51
false
Improve char to int parsing, and add `tryparse` method
59,603
JuliaLang/julia
35,573
Julia
LilithHafner
jakobnissen
Review this pull request change. Language: Julia File: base/parse.jl PR Title: Improve char to int parsing, and add `tryparse` method BEFORE CODE: ```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3") 0.0012 j...
TBH I find this style more clear than the style introduced in this PR
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.
# Examples ```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3") 0.0012 julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...
These are weirdly inconsistent?
# Examples ```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3") 0.0012 julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") 0.32 + 4.5im ``` """ parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...
@@ -38,14 +38,31 @@ julia> parse(Complex{Float64}, "3.2e-1 + 4.5im") parse(T::Type, str; base = Int) parse(::Type{Union{}}, slurp...; kwargs...) = error("cannot parse a value as Union{}") -function parse(::Type{T}, c::AbstractChar; base::Integer = 10) where T<:Integer - a::Int = (base <= 36 ? 10 : 36) - 2 <= ...
base/parse.jl
26
Julia
0.071
question
31
51
51
false
Improve char to int parsing, and add `tryparse` method
59,603
JuliaLang/julia
35,573
Julia
LilithHafner
jakobnissen
Review this pull request change. Language: Julia File: base/parse.jl PR Title: Improve char to int parsing, and add `tryparse` method BEFORE CODE: # Examples ```jldoctest julia> parse(Int, "1234") 1234 julia> parse(Int, "1234", base = 5) 194 julia> parse(Int, "afc", base = 16) 2812 julia> parse(Float64, "1.2e-3"...
These are weirdly inconsistent?
You are an expert software engineer and code reviewer. Review pull requests carefully for correctness, bugs, security issues, performance problems, maintainability, and unnecessary complexity. Only raise actionable issues supported by the code. Explain why an issue matters and suggest a concrete fix when appropriate.