printing MIME type is not handled correctly for graphs

[Roger-luo]

to reproduce

pip install bloqade

and run

In [2]: import bloqade

In [3]: bloqade.unit_disk_graph([1, 2, 3])
Out[3]: ---------------------------------------------------------------------------
JuliaError                                Traceback (most recent call last)
File ~/conda/lib/python3.9/site-packages/IPython/core/formatters.py:973, in MimeBundleFormatter.__call__(self, obj, include, exclude)
    970     method = get_real_method(obj, self.print_method)
    972     if method is not None:
--> 973         return method(include=include, exclude=exclude)
    974     return None
    975 else:

File ~/.julia/packages/PythonCall/d8Xcl/src/jlwrap/any.jl:302, in _repr_mimebundle_(self, include, exclude)
    300         return self._jl_callmethod($(pyjl_methodnum(pyjlany_help)), mime)
    301     def _repr_mimebundle_(self, include=None, exclude=None):
--> 302         return self._jl_callmethod($(pyjl_methodnum(pyjlany_mimebundle)), include, exclude)
    303 """, @__FILE__(), "exec"), jl.__dict__)
    304 pycopy!(pyjlanytype, jl.AnyValue)

JuliaError: type UnionAll has no field parameters
Stacktrace:
 [1] getproperty
   @ ./Base.jl:37 [inlined]
 [2] mimes_for(x::Any)
   @ PythonCall.Utils ~/.julia/packages/PythonCall/d8Xcl/src/utils.jl:93
 [3] pyjlany_mimebundle(self::Graphs.SimpleGraphs.SimpleGraph{Int64}, include::Py, exclude::Py)
   @ PythonCall ~/.julia/packages/PythonCall/d8Xcl/src/jlwrap/any.jl:152
 [4] _pyjl_callmethod(f::Any, self_::Ptr{PythonCall.C.PyObject}, args_::Ptr{PythonCall.C.PyObject}, nargs::Int64)
   @ PythonCall ~/.julia/packages/PythonCall/d8Xcl/src/jlwrap/base.jl:69
 [5] _pyjl_callmethod(o::Ptr{PythonCall.C.PyObject}, args::Ptr{PythonCall.C.PyObject})
   @ PythonCall.C ~/.julia/packages/PythonCall/d8Xcl/src/cpython/jlwrap.jl:47
<jl Graphs.SimpleGraphs.SimpleGraph{Int64}(2, [[2], [1, 3], [2]])>

This seems due to src/utils.jl:93 doesn't handle UnionAll, I'm not sure what would be the right way to fix it tho

[cjdoris]

Thanks, you could also reproduce it from Julia with PythonCall.Utils.mimes_for('a'). I have fixed it now.