148f63289a3fb4b809d6b5d63feaddf3e64bed26,spynnaker/pyNN/models/neural_projections/connectors/multapse_connector.py,MultapseConnector,create_synaptic_block,#MultapseConnector#Any#Any#Any#Any#Any#Any#Any#,202

Before Change

                    "population: reduce the value specified in the connector")
        else:
            for source in source_neuron_ids:
                target_neuron_ids.append(numpy.random.choice(numpy.concatenate(
                    [numpy.arange(0, source),
                     numpy.arange(source + 1, post_vertex_slice.hi_atom + 1)]),
                    size=1, replace=self._with_replacement))

        block["source"] = source_neuron_ids

After Change

            n_connections, dtype=AbstractConnector.NUMPY_SYNAPSES_DTYPE)

        // Create pairs between the pre- and post-vertex slices
        pairs = numpy.mgrid[pre_vertex_slice.as_slice,
                            post_vertex_slice.as_slice].T.reshape((-1, 2))

        // Deal with case where self-connections aren"t allowed
        if not self._allow_self_connections and (
            self._pre_population is self._post_population):
            pairs = pairs[pairs[:,0] != pairs[:,1]]

        // Now do the actual random choice from the available connections
        try:
            chosen = numpy.random.choice(

Instances