hiding `import_from` preamble to a submodule?
In order to use Clebsch-Gordan coefficients (clebsch_gordan) and Wigner D (WignerD), I have to start my notebook with the 8 lines block.
using SymPy
import PyCall
#
PyCall.pyimport_conda("sympy.physics.quantum.spin", "sympy")
PyCall.pyimport_conda("sympy.physics.wigner", "sympy")
import_from(sympy.physics.quantum.spin, (:WignerD,), typ=:Any)
import_from(sympy.physics.wigner)
import_from(sympy.physics.quantum.spin)
I would love to have it defined in the package and just use using SymPy.Physics or using SymPy.Spin, or something similar.
Any good suggestions?
We have https://github.com/JuliaPy/SymPy.jl/blob/master/src/physics.jl but that is just a start. What might be best would be to make that a submodule (so it has its own namespace, as you suggest) and add more conveniences in that.
great. Accept PR? Something in this spirit?
module Spin
using SymPy
import PyCall
#
# include("wigner_functions.jl")
PyCall.pyimport_conda("sympy.physics.quantum.spin", "sympy")
import_from(sympy.physics.quantum.spin, (:WignerD,), typ=:Any)
#
export clebsch_gordan
#
# include("clebshes.jl")
PyCall.pyimport_conda("sympy.physics.wigner", "sympy")
import_from(sympy.physics.wigner)
#
wignerD(j,m1,m2,alpha,beta,gamma) = WignerD(j,m1,m2,alpha,beta,gamma).doit()
wignerd(j,m1,m2,theta) = WignerD(j,m1,m2,0,theta,0).doit()
#
export wignerD, wignerd
end
Yes, along those lines.
On Sat, Nov 14, 2020 at 1:11 PM Misha Mikhasenko [email protected] wrote:
great. Accept PR? Something in this spirit?
module Spin using SymPyimport PyCall## include("wigner_functions.jl") PyCall.pyimport_conda("sympy.physics.quantum.spin", "sympy")import_from(sympy.physics.quantum.spin, (:WignerD,), typ=:Any)#export clebsch_gordan## include("clebshes.jl") PyCall.pyimport_conda("sympy.physics.wigner", "sympy")import_from(sympy.physics.wigner)#WignerD(j,m1,m2,theta) = WignerD(j,m1,m2,0,theta,0).doit()Wignerd(j,m1,m2,theta) = WignerD(j,m1,m2,0,theta,0).doit()#export WignerD, Wignerd end
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