Use LP64 isntead of ILP64 to avoid issues when linking to libraries

[andreasnoack]

that expect LP64 BLAS. This often happens when using PyCall.

[andreasnoack]

Looks like we are hitting JuliaLang/PackageCompiler.jl#154

[aminya]

Could you try with the new Julia 1.2 and see if it works?

[andreasnoack]

Testing it now

[chriscoey]

bump

[aminya]

https://github.com/staticfloat/ilp64_confusion

[andreasnoack]

So apparently the package compiler issue remains. So is it really the change to USE_BLAS64 = false that is causing the failure?

[AStupidBear]

@andreasnoack After adding a newline to "const USE_BLAS64 = false", this problem no longer exists. I openned a pull request #25.

julia> using MKL, PyCall

julia> BLAS.vendor()
:mkl

julia> np = pyimport("numpy")

julia> np.show_config()
mkl_info:
    libraries = ['mkl_rt', 'pthread']

julia> np.linalg.inv([2 1; 1 2])
2×2 Array{Float64,2}:
  0.666667  -0.333333
 -0.333333   0.666667

[andreasnoack]

Superseded by #35