Comments (3)
Python function returns Python object that wraps C++ object.
This is how the underlying C++ object is made accessible from Python.
If you have a C++ function that takes Grid as an argument, Python bindings to this function would take FloatGrid as an argument.
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So thats how I thought it worked, and indeed seems to do in most cases, but if I have a pybind function like:
m.def("test_grid",
[](gemmi::Grid<float> grid)
{
return "Loading grid<float> worked";
},
"Test if grids load");
Then when ran in python with a FloatGrid
module.test_grid(grid)
Where grid is a gemmi.FloatGrid that comes from, say, mtz.transform_f_phi_to_map, it results in a type error:
TypeError: test_grid(): incompatible function arguments. The following argument types are supported:
1. (arg0: gemmi::Grid<float>) -> str
Invoked with: <gemmi.FloatGrid(200, 240, 144)>
from gemmi.
Perhaps it's because these functions are in a different module than Grid? I didn't look into details, but I copied the test_grid function above to python bindings in gemmi, and calling gemmi.test_grid(grid)
worked.
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