segfault, Julia 0.3.8, declaring Base.getfield

[jeff-regier]

The command below always produces a segfault on my system, with Julia 0.3.8.

julia> function Base.getfield(sp::Int64, n::Symbol)
                         println("called")
                     end

signal (11): Segmentation fault
jl_method_def at /home/jeff/julia/bin/../lib/julia/libjulia.so (unknown line)
unknown function (ip: 242623396)
unknown function (ip: 242689786)
jl_f_top_eval at /home/jeff/julia/bin/../lib/julia/libjulia.so (unknown line)
eval_user_input at REPL.jl:53
jlcall_eval_user_input_20177 at  (unknown line)
jl_apply_generic at /home/jeff/julia/bin/../lib/julia/libjulia.so (unknown line)
anonymous at task.jl:95
jl_handle_stack_switch at /home/jeff/julia/bin/../lib/julia/libjulia.so (unknown line)
julia_trampoline at /home/jeff/julia/bin/../lib/julia/libjulia.so (unknown line)
unknown function (ip: 4199725)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 4199781)
Segmentation fault

Here's the output of versioninfo:

julia> versioninfo(true)
Julia Version 0.3.8
Commit 79599ad (2015-04-30 23:40 UTC)
Platform Info:
  System: Linux (x86_64-unknown-linux-gnu)
  CPU: Intel(R) Core(TM)2 Quad CPU    Q6600  @ 2.40GHz
  WORD_SIZE: 64
           Linux Mint 17 Qiana
  uname: Linux 3.13.0-48-generic #80-Ubuntu SMP Thu Mar 12 11:16:15 UTC 2015 x86_64 x86_64
Memory: 7.796939849853516 GB (688.29296875 MB free)
Uptime: 3.108322e6 sec
Load Avg:  0.6923828125  0.3671875  0.2861328125
Intel(R) Core(TM)2 Quad CPU    Q6600  @ 2.40GHz: 
       speed         user         nice          sys         idle          irq
#1  2400 MHz   29562716 s      27611 s    2088490 s  277544480 s         43 s
#2  1600 MHz   15600446 s      12411 s    2197738 s  291470658 s         46 s
#3  2400 MHz   33970371 s      22452 s    2095048 s  273559359 s         45 s
#4  1600 MHz   14166042 s      11029 s    2183836 s  293370435 s         10 s

  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Core2)
  LAPACK: libopenblas
  LIBM: libopenlibm
  LLVM: libLLVM-3.3
Environment:
  TERM = xterm
  DEFAULTS_PATH = /usr/share/gconf/xmonad.default.path
  PATH = /home/jeff/julia/bin:/home/jeff/bin:/home/jeff/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
  MANDATORY_PATH = /usr/share/gconf/xmonad.mandatory.path
  HOME = /home/jeff
  MATHEMATICA_HOME = /usr/local/Wolfram/Mathematica/9.0
  WINDOWPATH = 8

Package Directory: /home/jeff/.julia/v0.3
13 required packages:
 - Dates                         0.3.2
 - Devectorize                   0.4.1
 - Docile                        0.4.11
 - Gadfly                        0.3.11
 - GaussianMixtures              0.0.6
 - Images                        0.4.36
 - Ipopt                         0.1.14
 - Jewel                         1.0.4
 - JuMP                          0.9.1
 - ReverseDiffSource             0.1.3
 - ReverseDiffSparse             0.2.7              master
 - SymPy                         0.2.27
 - WCSLIB                        0.1.5
53 additional packages:
 - ArrayViews                    0.6.1
 - BinDeps                       0.3.11
 - Blosc                         0.1.2
 - Calculus                      0.1.5              de7ae8b4 (dirty)
 - Celeste                       0.0.0-             master (unregistered, dirty)
 - Clustering                    0.3.3
 - Codecs                        0.1.4
 - Color                         0.4.4
 - Compat                        0.4.2
 - Compose                       0.3.11
 - Contour                       0.0.6
 - DataArrays                    0.2.13
 - DataFrames                    0.6.4
 - DataStructures                0.3.8
 - Distances                     0.2.0
 - Distributions                 0.7.1
 - DualNumbers                   0.1.3
 - FITSIO                        0.5.2
 - FactCheck                     0.2.6
 - FixedPointNumbers             0.0.7
 - GSL                           0.1.2
 - GZip                          0.2.15
 - Graphics                      0.1.0
 - Grid                          0.3.8
 - HDF5                          0.4.14
 - Hexagons                      0.0.3
 - ImmutableArrays               0.0.7
 - Iterators                     0.1.7
 - JSON                          0.4.3
 - JuliaParser                   0.6.2
 - KernelDensity                 0.1.0
 - LNR                           0.0.1
 - Lazy                          0.8.3
 - Loess                         0.0.3
 - MathProgBase                  0.3.11
 - NLopt                         0.2.1
 - NaNMath                       0.0.2
 - NumericExtensions             0.6.2
 - NumericFuns                   0.2.3
 - Optim                         0.4.1
 - PDMats                        0.3.3
 - PyCall                        0.8.0
 - Reexport                      0.0.2
 - Requires                      0.1.1
 - SHA                           0.0.4
 - SIUnits                       0.0.2
 - Showoff                       0.0.4
 - SortingAlgorithms             0.0.4
 - StatsBase                     0.6.14
 - TexExtensions                 0.0.2
 - URIParser                     0.0.5
 - WoodburyMatrices              0.0.1
 - Zlib                          0.1.8

[vtjnash]

it looks like this may be fixed on master:

julia> function Base.getfield(sp::Int64, n::Symbol)
                                println("called")
                            end
ERROR: cannot define function getfield; it already has a value

julia> isgeneric(Base.getfield)
false

[tkelman]

This has been backported to release-0.3 so should be fixed in 0.3.9.