Scope reduction in Diffeq v8 and ODiffeq v7 is not reflected in the code

[lukaslcf]

Describe the bug 🐞

As stated in https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md , the default ODE package no longer include all types of solvers. In other words, doing ode.RadauIIA5() would give following error:
AttributeError: Julia: UndefVarError: `RadauIIA5` not defined in `OrdinaryDiffEq`

Expected behavior

that ode.RadauIIA5() would work.

Minimal Reproducible Example 👇

from diffeqpy import ode
def f(u,p,t):
    return -u

u0 = 0.5
tspan = (0., 1.)
prob = ode.ODEProblem(f, u0, tspan)
sol = ode.solve(prob, ode.RadauIIA5())

Error & Stacktrace ⚠️

  File "<redacted>/.julia/packages/PythonCall/5WGSP/src/JlWrap/any.jl", line 250, in __getattr__
    return self._jl_callmethod($(pyjl_methodnum(pyjlany_getattr)), k)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: Julia: UndefVarError: `RadauIIA5` not defined in `OrdinaryDiffEq`
Suggestion: check for spelling errors or missing imports.
Hint: a global variable of this name also exists in OrdinaryDiffEqFIRK.

Environment (please complete the following information):
Python: 3.12.13
diffeqpy: 2.6.0

Julia Version 1.12.2
Commit ca9b6662be4 (2025-11-20 16:25 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 16 × Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, skylake-avx512)
  GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 16 virtual cores)

Status `<redacted>/.pixi/envs/default/julia_env/Project.toml`
  [bcd4f6db] DelayDiffEq v6.2.0
  [459566f4] DiffEqCallbacks v4.19.2
  [0c46a032] DifferentialEquations v8.1.0
  [961ee093] ModelingToolkit v11.39.1
  [1dea7af3] OrdinaryDiffEq v7.7.0
  [50262376] OrdinaryDiffEqDefault v2.5.0
  [5960d6e9] OrdinaryDiffEqFIRK v2.8.0 <----- exist only because I use load_julia_package() to workaround the issue
  [6099a3de] PythonCall v0.9.35
  [789caeaf] StochasticDiffEq v7.1.4
  [c3572dad] Sundials v6.6.0
  [458c3c95] OpenSSL_jll v3.5.4+0

Additional context

if I manually load the corresponding package using load_julia_package(), then I can get it to work. Therefore, a fix could be to provide either instruction on how to load them or option to load them into the ode symbol in python.