Hi,
As I use Mathematica quite a bit, I’m very interested in SJulia!
I’m wondering if I need an additional Module or library to get around below
issue. This is on OS X and Julia 0.5-
ERROR: InitError: PyError (:PyImport_ImportModule) <type
'exceptions.ImportError'>
ImportError('No module named mpmath',)
[inlined code] from /Users/rob/.julia/v0.5/PyCall/src/exception.jl:56
in pyimport(::String) at /Users/rob/.julia/v0.5/PyCall/src/PyCall.jl:285
[inlined code] from /Users/rob/.julia/v0.5/SJulia/src/SJulia.jl:3
in import_sympy() at /Users/rob/.julia/v0.5/SJulia/src/sympy.jl:23
in init_sympy() at /Users/rob/.julia/v0.5/SJulia/src/sympy.jl:677
in __init__() at /Users/rob/.julia/v0.5/SJulia/src/SJulia.jl:64
in _require_from_serialized(::Int64, ::Symbol, ::String, ::Bool) at
./loading.jl:174
in require(::Symbol) at ./loading.jl:365
in eval(::Module, ::Any) at ./boot.jl:226
during initialization of module Julia
On Julia 4.0 SymPy won’t work on my system (it complains about precompiling):
julia> using SymPy
INFO: Precompiling module SymPy...
ERROR: LoadError: LoadError: UndefVarError: _apply_recipe not defined
But on Julia 5.0:
julia> using SymPy
x = symbols("x")
x
julia> a = [x 1; 1 x]
2×2 Array{SymPy.Sym,2}
⎡x 1⎤
⎢ ⎥
⎣1 x⎦
julia> det(a)
⎛ 1⎞
x⋅⎜x - ─⎟
⎝ x⎠
julia> versioninfo
versioninfo (generic function with 4 methods)
julia> versioninfo()
Julia Version 0.5.0-dev+4110
Commit 5d52f02 (2016-05-16 02:25 UTC)
Platform Info:
System: Darwin (x86_64-apple-darwin15.5.0)
CPU: Intel(R) Core(TM) i7-4980HQ CPU @ 2.80GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.7.1 (ORCJIT, haswell)
> On May 12, 2016, at 19:47, [email protected] wrote:
>
> The symbolic mathematics language project that I announced last year has been
> greatly expanded.
>
> Here is the link: https://github.com/jlapeyre/SJulia.jl
>
> The best way to find what is new is to look at the tests
> https://github.com/jlapeyre/SJulia.jl/tree/master/sjtest
