python padding. using deprecated indexing

[nbren12]

PaddingBackends.cuda
/workspace/earth2grid/healpix/_padding/pure_python.py:131: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /opt/pytorch/pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
  return x[slicers]
/usr/local/lib/python3.12/dist-packages/torch/_dynamo/utils.py:3489: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /opt/pytorch/pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
  return node.target(*args, **kwargs)
/usr/local/lib/python3.12/dist-packages/torch/fx/interpreter.py:336: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /opt/pytorch/pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
  return target(*args, **kwargs)
/usr/local/lib/python3.12/dist-packages/torch/fx/experimental/proxy_tensor.py:1389: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /opt/pytorch/pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
  return func(*args, **kwargs)

See script in #41