Ah yes, sorry but I am the same person who posted this issue ^ ^b
So far I have a dirty solution: add below code at the beginning of require
function in load.jl and re-compile it:
if ismatch(r"^\w+$",name) && isdefined(parse(name))
return nothing
end
Everything seems goes fine now... Hope it won't have any serious
side-effect...
I think as a Julia user, it is more valuable to make package-loading faster
than make it always updated. The package loading time is a bottle-neck of
improving user-experience right now. I quite support the precompile
function.
On Friday, November 7, 2014 5:34:27 PM UTC+1, Ivar Nesje wrote:
>
> https://github.com/lgautier/Rif.jl/issues/40 Seems relevant.
>
> kl. 16:54:10 UTC+1 fredag 7. november 2014 skrev [email protected]
> følgende:
>>
>> Actually it is not what I want, but require function is used in the code
>> of other packages. I noted this problem when I failed to load Rif package
>> after I precompiled Gadfly package. The Rif package can not be loaded since
>> it "requires" DataFrames package, which is alreally precompiled along with
>> Gadfly package. So, if require function just do nothing about any
>> precompiled package, everything will be fine.
>>
>> On Friday, November 7, 2014 4:33:22 PM UTC+1, Tim Holy wrote:
>>>
>>> Out of curiosity, why do you want to do this? Once you've got the module
>>> available, I would think you'd just refer to it by module name?
>>>
>>> --Tim
>>>
>>> On Friday, November 07, 2014 06:25:55 AM [email protected] wrote:
>>> > Can you require a pre-compiled package in your Julia? If yes, could
>>> you
>>> > please tell me your version? Thanks!
>>> >
>>> > On Friday, November 7, 2014 3:10:15 PM UTC+1, [email protected]
>>> wrote:
>>> > > After I precompiled a package in userimg.jl, require("Package_name")
>>> is
>>> > > always blocked without any response. But "using" and "import" the
>>> package
>>> > > works fine. That's weired.
>>> > >
>>> > > If I interrupt require-ing package by Ctrl-C, the breaking point
>>> always
>>> > > be:
>>> > >
>>> > > julia> require("DataFrames")
>>> > > ^CERROR: interrupt
>>> > >
>>> > > in wait at ./task.jl:277
>>> > > in wait at ./task.jl:194
>>> > > in wait_full at ./multi.jl:602
>>> > > in wait_ref at ./multi.jl:755
>>> > > in wait_ref_3B_7574 at
>>> > >
>>> > > /home/MyDir/programs/julia/usr/bin/../lib/julia/sys.so
>>> > >
>>> > > in call_on_owner at ./multi.jl:749
>>> > > in wait at ./multi.jl:756
>>> > > in _require at ./loading.jl:62
>>> > > in require at ./loading.jl:52
>>> > > in require_3B_7273 at
>>> > >
>>> > > /home/MyDir/programs/julia/usr/bin/../lib/julia/sys.so
>>> > >
>>> > > FYI:
>>> > > julia> versioninfo()
>>> > > Julia Version 0.4.0-dev+728
>>> > > Commit f7172d3* (2014-09-22 12:08 UTC)
>>> > >
>>> > > Platform Info:
>>> > > System: Linux (x86_64-redhat-linux)
>>> > > CPU: Intel(R) Xeon(R) CPU E7- 4830 @ 2.13GHz
>>> > > WORD_SIZE: 64
>>> > > BLAS: libopenblas (USE64BITINT NO_AFFINITY NEHALEM)
>>> > > LAPACK: libopenblas
>>> > > LIBM: libopenlibm
>>> > > LLVM: libLLVM-3.3
>>>
>>>
