Exception when setting individual spike trains in a population of SpikeSourceArrays

Consider the following code:

import pyNN.spiNNaker as sim

sim.setup()
p = sim.Population(3, sim.SpikeSourceArray, {"spike_times": []})
p.tset("spike_times", [[10.0, 20.0], [10.0, 20.0], [30.0, 40.0]])
sim.run(1000.0)

This code crashes at sim.run with the following output:

2015-10-27 17:42:42 INFO: Read config files: /localhome/nmpidemo/.spynnaker.cfg, spynnaker.cfg, /localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/spynnaker.cfg
2015-10-27 17:42:43 INFO: sPyNNaker (c) 2015 APT Group, University of Manchester
2015-10-27 17:42:43 INFO: Release version 2015.005.01(Arbitrary) - September 2015. Installed in folder /localhome/nmpidemo/sPyNNaker/sPyNNaker
2015-10-27 17:42:43 WARNING: A timestep was entered that has forced pacman103 to automatically slow the simulation down from real time by a factor of 10.0. To remove this automatic behaviour, please enter a timescaleFactor value in your .pacman.cfg
2015-10-27 17:42:43 INFO: Setting time scale factor to 10.0.
2015-10-27 17:42:43 INFO: Setting appID to 30.
2015-10-27 17:42:43 INFO: Setting machine time step to 100.0 micro-seconds.
2015-10-27 17:42:43 INFO: Creating transceiver for 192.168.6.1
2015-10-27 17:42:43 INFO: going to try to boot the machine with scamp
2015-10-27 17:42:49 INFO: failed to boot machine with scamp, trying to power on machine
2015-10-27 17:42:52 INFO: going to try to boot the machine with scamp
2015-10-27 17:42:57 INFO: Detected a machine on ip address 192.168.6.1 which has 2567 cores and 432 links
2015-10-27 17:42:57 INFO: successfully booted the machine with scamp
2015-10-27 17:42:58 INFO: *** Running Mapper *** 
Allocating virtual identifiers
|0                           50%                         100%|
 ============================================================
Partitioning graph vertices
|0                           50%                         100%|
 Traceback (most recent call last):
  File "run.py", line 8, in <module>
    sim.run(1000.0)
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/__init__.py", line 193, in run
    _spinnaker.run(run_time)
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/spinnaker.py", line 280, in run
    self.map_model()
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/spinnaker.py", line 612, in map_model
    self._execute_partitioner(pacman_report_state)
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/spinnaker.py", line 759, in _execute_partitioner
    self._machine)
  File "/localhome/nmpidemo/sPyNNaker/PACMAN/pacman/operations/partition_algorithms/partition_and_place_partitioner.py", line 92, in partition
    resource_tracker, graph)
  File "/localhome/nmpidemo/sPyNNaker/PACMAN/pacman/operations/partition_algorithms/partition_and_place_partitioner.py", line 147, in _partition_vertex
    graph_to_subgraph_mapper, resource_tracker)
  File "/localhome/nmpidemo/sPyNNaker/PACMAN/pacman/operations/partition_algorithms/partition_and_place_partitioner.py", line 189, in _partition_by_atoms
    max_atoms_per_core, graph)
  File "/localhome/nmpidemo/sPyNNaker/PACMAN/pacman/operations/partition_algorithms/partition_and_place_partitioner.py", line 295, in _scale_down_resources
    graph)
  File "/localhome/nmpidemo/sPyNNaker/PACMAN/pacman/model/partitionable_graph/abstract_partitionable_vertex.py", line 124, in get_resources_used_by_atoms
    sdram_requirement = self.get_sdram_usage_for_atoms(vertex_slice, graph)
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/models/spike_source/spike_source_array.py", line 373, in get_sdram_usage_for_atoms
    send_buffer = self._get_spike_send_buffer(vertex_slice)
  File "/localhome/nmpidemo/sPyNNaker/sPyNNaker/spynnaker/pyNN/models/spike_source/spike_source_array.py", line 205, in _get_spike_send_buffer
    for timeStamp in sorted(self._spike_times):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

SpiNNakerManchester / sPyNNaker

Exception when setting individual spike trains in a population of SpikeSourceArrays #159