added py::ellipsis() method for slicing of multidimensional NumPy arrays

This PR adds a new py::ellipsis() method which can be used in
conjunction with NumPy's generalized slicing support. For instance,
the following is now valid (where "a" is a NumPy array):

py::array b = a[py::make_tuple(0, py::ellipsis(), 0)];

docs/advanced/pycpp/numpy.rst

@@ -364,3 +364,23 @@ uses of ``py::array``:
 
     The file :file:`tests/test_numpy_array.cpp` contains additional examples
     demonstrating the use of this feature.
+
+Ellipsis
+========
+
+Python 3 provides a convenient ``...`` ellipsis notation that is often used to
+slice multidimensional arrays. For instance, the following snippet extracts the
+middle dimensions of a tensor with the first and last index set to zero.
+
+.. code-block:: python
+
+   a = # a NumPy array
+   b = a[0, ..., 0]
+
+The function ``py::ellipsis()`` function can be used to perform the same
+operation on the C++ side:
+
+.. code-block:: cpp
+
+   py::array a = /* A NumPy array */;
+   py::array b = a[py::make_tuple(0, py::ellipsis(), 0)];