Move code to PACMAN

spynnaker/pyNN/models/neural_projections/connectors/abstract_connector.py

@@ -659,48 +659,3 @@ def _get_raster_to_core(self, slices):
         global_to_raster = numpy.concatenate(
             [s.get_raster_ids() for s in slices])
         return numpy.argsort(global_to_raster)
-
-    def _get_row_indices(self, source_vertex_indices, source_vertex):
-        """ Get the index of the rows in the source vertex.
-
-        :param numpy.ndarray source_vertex_indices:
-            The source vertex indices to convert
-        :param ApplicationVertex source_vertex:
-            The source vertex that the indices are part of
-        """
-        atoms_shape = source_vertex.atoms_shape
-        n_dims = len(atoms_shape)
-        if n_dims == 1:
-            return source_vertex_indices
-        atoms_per_core = source_vertex.get_max_atoms_per_dimension_per_core()
-        remainders = numpy.array(source_vertex_indices)
-        cum_per_core = 1
-        cum_cores_per_dim = 1
-        core_index = numpy.zeros(len(source_vertex_indices))
-        atom_index = numpy.zeros(len(source_vertex_indices))
-        for n in range(n_dims):
-            # Work out the global index in this dimension
-            global_index_d = remainders % atoms_shape[n]
-
-            # Work out the core index in this dimension
-            core_index_d = global_index_d // atoms_per_core[n]
-
-            # Update the core index by multiplying the current value by the
-            # last dimension size and then add the current dimension value
-            core_index += core_index_d * cum_cores_per_dim
-
-            # Work out the atom index on the core in this dimension
-            atom_index_d = global_index_d - (atoms_per_core[n] * core_index_d)
-
-            # Update the atom index by multiplying the current value by the
-            # last dimension size and then add the current dimension value
-            atom_index += atom_index_d * cum_per_core
-
-            # Update the remainders for next time based on the values in
-            # this dimension, and save the sizes for this dimension
-            remainders = remainders // atoms_shape[n]
-            cum_per_core *= atoms_per_core[n]
-            cum_cores_per_dim *= atoms_shape[n] / atoms_per_core[n]
-
-        return ((core_index * source_vertex.get_max_atoms_per_core()) +
-                atom_index)