{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Import a cognitive function"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### `from nmcog.spinnaker.discriminate import BuoMerz`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run it\n",
"For this example we are passing one or more stimulus."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2020-03-24 10:48:47 INFO: Read cfg files: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/jovyan/.spynnaker.cfg\n",
"2020-03-24 10:48:47 INFO: Will search these locations for binaries: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/common_model_binaries : /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/model_binaries\n",
"2020-03-24 10:48:47 WARNING: /home/jovyan/reports has 14 old reports that have not been closed\n",
"2020-03-24 10:48:47 WARNING: /home/jovyan/application_generated_data_files has 14 old reports that have not been closed\n",
"2020-03-24 10:48:47 INFO: Setting time scale factor to 1.\n",
"2020-03-24 10:48:47 INFO: Setting machine time step to 1000 micro-seconds.\n",
"2020-03-24 10:48:47 WARNING: record(\"all\") is non-standard PyNN, and therefore may not be portable to other simulators.\n",
"2020-03-24 10:48:47 WARNING: You are trying to record the excitatory conductance from a model which does not use conductance input. You will receive current measurements instead.\n",
"2020-03-24 10:48:47 WARNING: You are trying to record the inhibitory conductance from a model which does not use conductance input. You will receive current measurements instead.\n",
"2020-03-24 10:48:47 INFO: Simulating for 130 1.0ms timesteps using a hardware timestep of 1000us\n",
"2020-03-24 10:48:47 INFO: Starting execution process\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/jovyan/.spynnaker.cfg']\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2020-03-24 10:48:53 INFO: Time 0:00:05.941696 taken by SpallocMaxMachineGenerator\n",
"Pre allocating resources for Extra Monitor support vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:05 INFO: Time 0:00:12.287796 taken by PreAllocateResourcesForExtraMonitorSupport\n",
"Partitioning graph vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Partitioning graph edges\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:18 INFO: Time 0:00:12.579328 taken by PartitionAndPlacePartitioner\n",
"Created spalloc job 5318556\n",
"2020-03-24 10:49:18 INFO: Created spalloc job 5318556\n",
"Waiting for board power commands to complete.\n",
"2020-03-24 10:49:18 INFO: Waiting for board power commands to complete.\n",
"2020-03-24 10:49:23 INFO: Time 0:00:05.056944 taken by SpallocAllocator\n",
"2020-03-24 10:49:23 INFO: Creating transceiver for 10.11.199.129\n",
"2020-03-24 10:49:23 INFO: Working out if machine is booted\n",
"2020-03-24 10:49:27 INFO: Attempting to boot machine\n",
"2020-03-24 10:49:33 INFO: Found board with version [Version: SC&MP 3.2.5 at SpiNNaker:0:0:0 (built Thu Aug 1 08:15:06 2019)]\n",
"2020-03-24 10:49:33 INFO: Machine communication successful\n",
"2020-03-24 10:49:33 INFO: Detected a machine on IP address 10.11.199.129 which has 853 cores and 120.0 links\n",
"2020-03-24 10:49:33 INFO: Time 0:00:09.653708 taken by MachineGenerator\n",
"Generating partitioner report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.018688 taken by PartitionerReport\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.003908 taken by NetworkSpecificationReport\n",
"Allocating virtual identifiers\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.060067 taken by MallocBasedChipIDAllocator\n",
"Inserting extra monitors into graphs\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.054976 taken by InsertExtraMonitorVerticesToGraphs\n",
"Writing the board chip report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.028323 taken by BoardChipReport\n",
"Filtering edges\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.193757 taken by GraphEdgeFilter\n",
"Placing graph vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:33 INFO: Time 0:00:00.346437 taken by OneToOnePlacer\n",
"Inserting edges between vertices which require FR speed up functionality.\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:34 INFO: Time 0:00:00.309749 taken by InsertEdgesToExtraMonitorFunctionality\n",
"Generating routing tables for data in system processes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:34 INFO: Time 0:00:00.049146 taken by DataInMulticastRoutingGenerator\n",
"Generating fixed router routes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:34 INFO: Time 0:00:00.040123 taken by FixedRouteRouter\n",
"Generating placement report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Generating placement by core report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:34 INFO: Time 0:00:00.587320 taken by PlacerReportWithApplicationGraph\n",
"Routing\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.116644 taken by NerRoute\n",
"Discovering tags\n",
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" ============================================================\n",
"Allocating tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.120256 taken by BasicTagAllocator\n",
"Reporting Tags\n",
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" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.016855 taken by TagReport\n",
"Getting number of keys required by each edge using application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.081841 taken by EdgeToNKeysMapper\n",
"Getting constraints for application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.098605 taken by ProcessPartitionConstraints\n",
"Allocating routing keys\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.032643 taken by MallocBasedRoutingInfoAllocator\n",
"Generating Routing info report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.087959 taken by routingInfoReports\n",
"Generating routing tables\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.118971 taken by BasicRoutingTableGenerator\n",
"Finding executable start types\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.122429 taken by LocateExecutableStartType\n",
"Initialising buffers\n",
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" ============================================================\n",
"2020-03-24 10:49:35 INFO: Time 0:00:00.177702 taken by BufferManagerCreator\n",
"Generating data specifications\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:36 INFO: Time 0:00:00.455517 taken by SpynnakerDataSpecificationWriter\n",
"Preparing Routing Tables\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:36 INFO: Time 0:00:00.025890 taken by RoutingSetup\n",
"Finding binaries\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:36 INFO: Time 0:00:00.079775 taken by GraphBinaryGatherer\n",
"Running routing table compression on chip\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:41 INFO: Time 0:00:04.559903 taken by MundyOnChipRouterCompression\n",
"Generating Router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:41 INFO: Time 0:00:00.016591 taken by unCompressedRoutingTableReports\n",
"loading fixed routes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:41 INFO: Time 0:00:00.085559 taken by LoadFixedRoutes\n",
"Executing data specifications and loading data for system vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:41 INFO: Time 0:00:00.276217 taken by HostExecuteSystemDataSpecification\n",
"Loading system executables onto the machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:47 INFO: Time 0:00:05.759816 taken by LoadSystemExecutableImages\n",
"Clearing tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Loading Tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:47 INFO: Time 0:00:00.045335 taken by TagsLoader\n",
"Writing data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:47 INFO: Time 0:00:00.072403 taken by WriteMemoryIOData\n",
"Executing data specifications and loading data for application vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:49 INFO: Time 0:00:02.329880 taken by HostExecuteApplicationDataSpecification\n",
"Expanding Synapses\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:53 INFO: Time 0:00:03.947820 taken by SynapseExpander\n",
"Writing fixed route report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:49:53 INFO: Time 0:00:00.098872 taken by FixedRouteFromMachineReport\n",
"Loading executables onto the machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:06.876469 taken by LoadApplicationExecutableImages\n",
"Reading Routing Tables from Machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.024519 taken by RoutingTableFromMachineReport\n",
"Generating compressed router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.016589 taken by compressedRoutingTableReports\n",
"Generating comparison of router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.016750 taken by comparisonOfRoutingTablesReport\n",
"2020-03-24 10:50:00 INFO: Running for 1 steps for a total of 130.0ms\n",
"2020-03-24 10:50:00 INFO: Run 1 of 1\n",
"Generating SDRAM usage report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.142856 taken by SdramUsageReportPerChip\n",
"Updating run time\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.048431 taken by ChipRuntimeUpdater\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.000384 taken by DatabaseInterface\n",
"2020-03-24 10:50:00 INFO: ** Notifying external sources that the database is ready for reading **\n",
"2020-03-24 10:50:00 INFO: Time 0:00:00.008640 taken by NotificationProtocol\n",
"2020-03-24 10:50:00 INFO: *** Running simulation... *** \n",
"Loading buffers\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:01 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
"2020-03-24 10:50:01 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
"2020-03-24 10:50:01 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
"2020-03-24 10:50:01 INFO: Application started; waiting 0.23s for it to stop\n",
"2020-03-24 10:50:01 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
"2020-03-24 10:50:01 INFO: Time 0:00:00.405460 taken by ApplicationRunner\n",
"Extracting buffers from the last run\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:01 INFO: Time 0:00:00.535485 taken by BufferExtractor\n",
"Getting provenance data from machine graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting provenance data from application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 INFO: Time 0:00:00.169600 taken by GraphProvenanceGatherer\n",
"Getting provenance data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 INFO: Time 0:00:00.088399 taken by PlacementsProvenanceGatherer\n",
"Getting Router Provenance\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 INFO: Time 0:00:00.091174 taken by RouterProvenanceGatherer\n",
"Getting profile data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 INFO: Time 0:00:00.102317 taken by ProfileDataGatherer\n",
"Getting spikes for input1\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for input1\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 WARNING: Warning getting data on a whole population when selective recording is active will result in only the requested neurons being returned in numerical order and without repeats.\n",
"Getting spikes for ex4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for ex4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for inh4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for inh4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for ex3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for ex3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for inh3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for inh3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for output_for_80\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for output_for_130\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:02 WARNING: A Timer tick callback was still executing when the next timer tick callback was fired off for ex3:0:199 on 0, 0, 6, 8 times. This is a sign of the system being overloaded and therefore the results are likely incorrect. Please increase the machine time step or time_scale_factor or decrease the number of neurons per core\n",
"2020-03-24 10:50:02 WARNING: A Timer tick callback was still executing when the next timer tick callback was fired off for ex4:0:119 on 0, 0, 7, 3 times. This is a sign of the system being overloaded and therefore the results are likely incorrect. Please increase the machine time step or time_scale_factor or decrease the number of neurons per core\n",
"2020-03-24 10:50:02 INFO: Read cfg files: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/jovyan/.spynnaker.cfg\n",
"2020-03-24 10:50:02 INFO: Will search these locations for binaries: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/common_model_binaries : /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/model_binaries\n",
"2020-03-24 10:50:02 WARNING: /home/jovyan/reports has 14 old reports that have not been closed\n",
"2020-03-24 10:50:02 WARNING: /home/jovyan/application_generated_data_files has 14 old reports that have not been closed\n",
"2020-03-24 10:50:02 INFO: Setting time scale factor to 1.\n",
"2020-03-24 10:50:02 INFO: Setting machine time step to 1000 micro-seconds.\n",
"2020-03-24 10:50:02 INFO: Simulating for 180 1.0ms timesteps using a hardware timestep of 1000us\n",
"2020-03-24 10:50:02 INFO: Starting execution process\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/jovyan/.spynnaker.cfg']\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2020-03-24 10:50:08 INFO: Time 0:00:05.781284 taken by SpallocMaxMachineGenerator\n",
"Pre allocating resources for Extra Monitor support vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:20 INFO: Time 0:00:11.597917 taken by PreAllocateResourcesForExtraMonitorSupport\n",
"Partitioning graph vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Partitioning graph edges\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:29 INFO: Time 0:00:08.838890 taken by PartitionAndPlacePartitioner\n",
"Created spalloc job 5318557\n",
"2020-03-24 10:50:29 INFO: Created spalloc job 5318557\n",
"Waiting for board power commands to complete.\n",
"2020-03-24 10:50:29 INFO: Waiting for board power commands to complete.\n",
"2020-03-24 10:50:34 INFO: Time 0:00:05.051142 taken by SpallocAllocator\n",
"2020-03-24 10:50:34 INFO: Creating transceiver for 10.11.199.129\n",
"2020-03-24 10:50:34 INFO: Working out if machine is booted\n",
"2020-03-24 10:50:38 INFO: Attempting to boot machine\n",
"2020-03-24 10:50:43 INFO: Found board with version [Version: SC&MP 3.2.5 at SpiNNaker:0:0:0 (built Thu Aug 1 08:15:06 2019)]\n",
"2020-03-24 10:50:43 INFO: Machine communication successful\n",
"2020-03-24 10:50:43 INFO: Detected a machine on IP address 10.11.199.129 which has 854 cores and 120.0 links\n",
"2020-03-24 10:50:43 INFO: Time 0:00:09.663257 taken by MachineGenerator\n",
"Generating partitioner report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:43 INFO: Time 0:00:00.016407 taken by PartitionerReport\n",
"2020-03-24 10:50:43 INFO: Time 0:00:00.002188 taken by NetworkSpecificationReport\n",
"Allocating virtual identifiers\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:43 INFO: Time 0:00:00.090868 taken by MallocBasedChipIDAllocator\n",
"Inserting extra monitors into graphs\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.231338 taken by InsertExtraMonitorVerticesToGraphs\n",
"Writing the board chip report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.016503 taken by BoardChipReport\n",
"Filtering edges\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.149662 taken by GraphEdgeFilter\n",
"Placing graph vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.111254 taken by OneToOnePlacer\n",
"Inserting edges between vertices which require FR speed up functionality.\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.113242 taken by InsertEdgesToExtraMonitorFunctionality\n",
"Generating routing tables for data in system processes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.018587 taken by DataInMulticastRoutingGenerator\n",
"Generating fixed router routes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.012549 taken by FixedRouteRouter\n",
"Generating placement report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Generating placement by core report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.178420 taken by PlacerReportWithApplicationGraph\n",
"Routing\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"\n",
"2020-03-24 10:50:44 INFO: Time 0:00:00.102568 taken by NerRoute\n",
"Discovering tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Allocating tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.137179 taken by BasicTagAllocator\n",
"Reporting Tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.024161 taken by TagReport\n",
"Getting number of keys required by each edge using application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.272220 taken by EdgeToNKeysMapper\n",
"Getting constraints for application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.275628 taken by ProcessPartitionConstraints\n",
"Allocating routing keys\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.029151 taken by MallocBasedRoutingInfoAllocator\n",
"Generating Routing info report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.145139 taken by routingInfoReports\n",
"Generating routing tables\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:45 INFO: Time 0:00:00.082176 taken by BasicRoutingTableGenerator\n",
"Finding executable start types\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:46 INFO: Time 0:00:00.154161 taken by LocateExecutableStartType\n",
"Initialising buffers\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:46 INFO: Time 0:00:00.125105 taken by BufferManagerCreator\n",
"Generating data specifications\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:46 INFO: Time 0:00:00.296942 taken by SpynnakerDataSpecificationWriter\n",
"Preparing Routing Tables\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:46 INFO: Time 0:00:00.013669 taken by RoutingSetup\n",
"Finding binaries\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:46 INFO: Time 0:00:00.040002 taken by GraphBinaryGatherer\n",
"Running routing table compression on chip\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:51 INFO: Time 0:00:04.533472 taken by MundyOnChipRouterCompression\n",
"Generating Router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:51 INFO: Time 0:00:00.008616 taken by unCompressedRoutingTableReports\n",
"loading fixed routes\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:51 INFO: Time 0:00:00.042230 taken by LoadFixedRoutes\n",
"Executing data specifications and loading data for system vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:51 INFO: Time 0:00:00.218263 taken by HostExecuteSystemDataSpecification\n",
"Loading system executables onto the machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:57 INFO: Time 0:00:05.747173 taken by LoadSystemExecutableImages\n",
"Clearing tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Loading Tags\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:57 INFO: Time 0:00:00.029515 taken by TagsLoader\n",
"Writing data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:57 INFO: Time 0:00:00.035907 taken by WriteMemoryIOData\n",
"Executing data specifications and loading data for application vertices\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:50:57 INFO: Time 0:00:00.317438 taken by HostExecuteApplicationDataSpecification\n",
"Expanding Synapses\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:01 INFO: Time 0:00:03.914931 taken by SynapseExpander\n",
"Writing fixed route report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:01 INFO: Time 0:00:00.066870 taken by FixedRouteFromMachineReport\n",
"Loading executables onto the machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:06.873900 taken by LoadApplicationExecutableImages\n",
"Reading Routing Tables from Machine\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.020896 taken by RoutingTableFromMachineReport\n",
"Generating compressed router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.011272 taken by compressedRoutingTableReports\n",
"Generating comparison of router table report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.010501 taken by comparisonOfRoutingTablesReport\n",
"2020-03-24 10:51:08 INFO: Running for 1 steps for a total of 180.0ms\n",
"2020-03-24 10:51:08 INFO: Run 1 of 1\n",
"Generating SDRAM usage report\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.102379 taken by SdramUsageReportPerChip\n",
"Updating run time\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.036685 taken by ChipRuntimeUpdater\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.000431 taken by DatabaseInterface\n",
"2020-03-24 10:51:08 INFO: ** Notifying external sources that the database is ready for reading **\n",
"2020-03-24 10:51:08 INFO: Time 0:00:00.004623 taken by NotificationProtocol\n",
"2020-03-24 10:51:08 INFO: *** Running simulation... *** \n",
"Loading buffers\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:08 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
"2020-03-24 10:51:08 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
"2020-03-24 10:51:08 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
"2020-03-24 10:51:08 INFO: Application started; waiting 0.28s for it to stop\n",
"2020-03-24 10:51:09 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
"2020-03-24 10:51:09 INFO: Time 0:00:00.426150 taken by ApplicationRunner\n",
"Extracting buffers from the last run\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:09 INFO: Time 0:00:00.639263 taken by BufferExtractor\n",
"Getting provenance data from machine graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting provenance data from application graph\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:09 INFO: Time 0:00:00.142526 taken by GraphProvenanceGatherer\n",
"Getting provenance data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:10 INFO: Time 0:00:00.115498 taken by PlacementsProvenanceGatherer\n",
"Getting Router Provenance\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:10 INFO: Time 0:00:00.098745 taken by RouterProvenanceGatherer\n",
"Getting profile data\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:10 INFO: Time 0:00:00.280043 taken by ProfileDataGatherer\n",
"Getting spikes for input1\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for input1\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for ex4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for ex4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for inh4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for inh4\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for ex3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for ex3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for inh3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting v for inh3\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for output_for_80\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"Getting spikes for output_for_130\n",
"|0% 50% 100%|\n",
" ============================================================\n",
"2020-03-24 10:51:11 WARNING: A Timer tick callback was still executing when the next timer tick callback was fired off for ex3:0:199 on 0, 0, 6, 9 times. This is a sign of the system being overloaded and therefore the results are likely incorrect. Please increase the machine time step or time_scale_factor or decrease the number of neurons per core\n"
]
}
],
"source": [
"#x = BuoMerz([80])\n",
"x = BuoMerz([80, 130])\n",
"#x = BuoMerz([80, 130, 180, 230, 280])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get simulation results."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"y = x.get_results()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Visualize\n",
"\n",
"For this example of `BuoMerz` function which performs temporal processing let us visualize the neuron activity from populations of the output layer for respective stimulus."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
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"\n",
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"\n",
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"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
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" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
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" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
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"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
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" case 2:\n",
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" case 3:\n",
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" }\n",
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"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
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"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
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" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('![](\"')
');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"intvs = [\"80\", \"130\"]#, \"180\", \"230\", \"280\"]\n",
"clrs = ['C{}'.format(i) for i in range(len(intvs))] # [80, 130, 180, 230, 280]\n",
"legpatches = []\n",
"fig, ( (sp) ) = plt.subplots(1,1)\n",
"for j in range( len(intvs) ):\n",
" [ sp.plot(y[intvs[j]][\"out\"][\"out\"+intvs[j]][\"placeholder_axes\"], alpha=0.0) if i==0 else\n",
" sp.eventplot( y[intvs[j]][\"out\"][\"out\"+intvs[j]][\"spiketrains\"], colors=clrs[j] ) for i in range(2) ]\n",
" legpatches.append( mpatches.Patch(color=clrs[j], label=intvs[j]) )\n",
"sp.set(ylabel=\"output\")\n",
"sp.legend( handles=legpatches, shadow=True )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Another view of the same result is shown below."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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Vgw8+KEkaN25cpV9O9uzZU//+978jcXTPENQWioqK9N1339XJXgQ1AADwo+oaZtKkSWrQoIH++Mc/6s9//rMuueQSjR49Ws2aNdOyZcv00UcfacmSJWrWrJkeffTRCJ3eGwS1Q8eOHdPhw4erLKcIagBe4TfUAOqS1edQ//Wvfw1+nZubK8MwqnxE3l//+le1b9/ek7NGCkFtoaysTI8//rguuuiikB8Hw8fmAfAasQzAa9U1TEJCQqUnJZaWlsowDO3atavS+9566y01aNDAk7NGCkFt4emnn1bLli21cuVKGYahefPmafHixerTp4/S0tKUk5PjeC+CGgAA+FF1DZOSkqIXX3wx+PW+fftkGIaWLl1a6X0vvPCCUlJSPDlrpBDUFjp06KD58+errKxMhmFo7969wWtDhgzRQw895HgvghoAAPhRdQ0zfvx4tWzZUsuWLdO6devUrVs3/fKXv9Rll12mf/zjH/rmm2+0a9cuXXbZZRo9enSETu8NgtpCgwYNtHPnTklS/fr1g3+WpJycHLVo0cLxXgQ1AADwo+oa5quvvtI111wT/ESP6667TmfOnNHQoUODn/BhmqZatWqlzz//PEKn9wZBbeGSSy4J3tbRtm1bzZ49O3ht+fLlatKkieO9CGoAAOBHdg1TWFioDz/8sNJrGzdu1FNPPaWlS5fq1KkL/+97ENQWBg8erJkzZ0qS/vCHP6hZs2aaNWuWnnnmGbVo0UK33nqr470IagAA4Ec0jD2C2sJ7772nV199VZJ0+vRpDR48WPXq1ZNhGLrmmmv42DwAAHDBo2HsEdQ19O2339bqf10wjAAAwI9oGHsEtUcYRgBe4bOqAdQlGsYeQX2eZcuW1Wg5xTACAAA/omHsEdTnOffRL04WT0oEAAAXOhrGHkHtEYYRgB1u1QAQjZw0zPHjx6t8WMMLL7yghx9+uEZPlvYrgtojBDUArxDmAOqSk4YZOHCgxo8fH/w6PT1dhmEoKSlJpmnq5Zdf9uKoEUNQWzh8+LDtcoqgBgAAfuSkYVq2bKl169YFv05OTtaUKVMkSRMnTtTPfvazsJ8zkghqCz98bGZ1yymCGoBX+A01gLrkpGECgYB27dolSfrggw9kmqY++eQTSdKOHTtq9HRpPyKoLaxcubLKyszM1IABA5SSkqKlS5c63ougBgAAfuSkYVq3bh389LOnn35aqampwWs5OTlq2rRp2M8ZSQR1Ld177716/PHHHb+foAYAAH7kpGEeeOABtWzZUr///e+VmJhYqZGeeeYZdevWzYujRgxBXUtbtmxRUlKS4/cT1ADqArdzAPCak4Y5c+aM7r33XnXq1EmjRo1SaWlp8Nq1116rJ554woujRgxBXUsLFixQYmKi4/cT1AAAwI9oGHsEtYVQT0Z84YUX9Mgjj6hx48YaMWKE470YRgAA4Ec0jD2C2kJ1T0iMj4/Xb37zG508edLxXgwjAADwIycNk5KSotTUVMt1ISOoLRQVFVVZ//rXv2q1F0ENAAD8yEnD3HvvvRo7dmylNXjwYCUlJalNmza67777PDyx9whqjxDUAKIJf7kRgFNuGub06dPq3bt38CP1LlQEtQPbtm3TjBkzNH78eM2YMUPbt2+v8R4ENYC6QAgD8Jrbhlm/fr3atWtXx6eKLgS1hePHj6tPnz4yDENxcXFq2bKl4uLiZJqmrr/+eh0/ftzxXgQ1AADwo7oI6kaNGtXxqaILQW1h6NChatasmdauXavy8nJJUnl5udasWaNmzZpp2LBhjvciqAFEE37TDcApJw1z+PDhKuvjjz/W66+/rvbt26tPnz4enth7BLWFRo0aaeHChSGvzZ8/v0b/tUVQA6gLhDAArzlpGMMwZJpmlWUYhn7605/qww8/9PDE3iOoLSQmJmrTpk0hr23atIkHuwAAgAuek4ZZsmSJli5dWmllZWXp7bffVllZmYenjQyC2sKECRN0xx13hLw2ZMgQTZgwwfFeBDUAAPAjGsYeQW1hwYIFat26tbp3764ZM2Zo0aJFmjFjhrp166ZLL71UCxcurPQURSsMI4C6wC0fALxGw9gjqC1U96TEUMs0Tcu9GEYAdYGgBuC16hrmhhtuqNG6kBHUFkI9KdFqWSGoAQCAH1XXMKNGjarRupAR1B4hqAEAgB/RMPYIahsVFRV644039Pjjj+v+++/XE088oZycnBrvwzACAAA/omHsEdQWTp06pd69e8swDAUCAbVu3VqBQECmaeq6667T6dOnHe/FMAIAAD9y0jAZGRmWa9q0aR6e2HsEtYVx48apcePGysrKqvSkxKysLDVp0kTjx493vBdBDQAA/MhJw9SrV6/KOvfBDfXq1VNcXJyHJ/YeQW2hRYsWmjNnTshrs2fPVnJysuO9CGoAAOBHtW2Y06dPKysrS1dddZU+/vjjMJ0uOhDUFgKBgLZs2RLy2pYtWxQIBBzvRVADqAt8bB4Ar7ltmNmzZ+sXv/hFHZ8quhDUFjp16qQxY8aEvDZ27Fh17tzZ8V4ENYBoQpgDcMptw2zbtk0NGzas41NFF4LawuLFi2UYhm655RYtX75cW7du1YoVKzRw4ECZpqmlS5c63ougBuAVYhlAXXLTMGVlZRo1apTS0tLCcLLoQVDbmDdvnpKSkio9FbFFixaaP39+jfYhqAEAgB85aZhQT0bs1auXkpKSZJqm5s6d6+GJvUdQO1BeXq6PPvpI+fn5+uijj4Kf+FETBDUAr/AbagB1yUnDXH/99erbt2+lNWDAAN1///3avn27h6eNDILaIwQ1AADwIxrGHkFt49ChQ7rrrruUlpamBg0aKC0tTXfffbcOHTpUo30YRgAA4Ec0jD2C2sKbb76p+Ph4JSUlacyYMZo0aZLGjBmjpKQkBQIBbdu2zfFeDCMAAPAjpw1z4sQJLV++XDNnztSTTz5ZaU2ZMsWj00YGQW3hqquuUt++ffX1119Xev3s2bPq06ePunTp4ngvghqAHS/vfeY+awBOOWmYTZs2qVGjRjIMQ6ZpVnlqIk9K/BELBALKzs4OeW3Dhg2Kj493vBdBDQAA/MhJw1x55ZXq16+fDh06VKsPb/A7gtrClVdeqVWrVoW8tnLlSl1xxRWO9yKoAQCAHzlpmIYNG+rNN9/08FTRhaC2sGbNGrVt21b79u2r9PoHH3ygtm3bau3atY73IqgBAIAfOWmYG2+8UQsXLvTwVNGFoLbQt29fJScnyzRNpaWl6dprr1VaWppM01TLli0rfXh5v379LPciqAHUBe59BuA1Jw1z6NAhde7cWWvXrtWpUz++fzcR1BZCfUi51bJCUAPwCtENoC45aZivv/5ad999t0zTDLliY2M9PLH3CGqPENQAvEJQA6hLThpm+PDhCgQCuvPOOzVlyhTNmDGjyrqQEdQeIagBAIAfOWmYRo0aafbs2R6eKroQ1B4hqAF4hd9QA6hLThrmkksu0ebNmz08VXQhqD1CUAOwQwgDiEZOGmbWrFkaMmSIh6eKLgS1RwhqAHZ4UiKAaOSkYaZOnao2bdqoU6dOmjhxojIyMiqtadOmeXhi7xHUHiGoAdQFQhiA15w0jGEYlss0TQ9P7D2C2kJGRoZKSkpCXvviiy+UkZHheC+CGgAA+BENY4+gtmCapvbs2RPyWkFBQY3+a4thBAAAfkTD2COoLRiGUW1Qb9q0SQkJCY73YhgBAIAfVdcwhw8f1vfffx/8s926kBHU53nttdc0evRojR49WoZh6Lbbbgt+fW4NHz5crVq1Uq9evRzvS1AD8Ar3WQOoS9U1zA9/8XjuPulQi3uof4See+45paSkKCUlRaZpqmXLlsGvz63LL79ct99+uw4ePOh4X4IaAAD4UXUNk5ubqzNnzkiS3nrrLeXm5lquCxlBbSElJUX79u2rk70IagAA4Ec0jD2C2iMMIwAA8CMnDZOamlrtLyH/+c9/KjU1NVzHiwoEtYVly5bZLqcIagAA4EdOP4e6ug9yePfddxUbGxuu40UFgtqC1YeTn1tOEdQAvMJfSgRQl5wG9bvvvlvl9e+++06zZs3ST37yk3AeMeIIagtHjhypsg4cOKCnnnpKV1xxhfbu3et4L4IaAAD4UXUNk56eXu0ne5y/xo0bF6HTe4OgrqWZM2dqyJAhjt9PUAOww2+WAUQjq0/5SE9P19SpU2UYhsaOHav09PRK609/+pNee+01lZeXR+j03iCoa2n79u1q3Lix4/cT1AAAwI+cNEx6erqOHDni4amiC0FdS4899pguu+wyx+8nqAF4hd90A6hLtW2YQ4cOaf369Tp69GiYThY9CGoL5z8hcfTo0Ro5cqS6desm0zQ1depUx3sR1AAAwI+cNMz48eMr3Se9du1axcXFyTAMNW3aNORfWLyQENQW2rRpU+UpiVdccYVuuukmvfjiizW6H4igBlAX+O0zAK85/RzqFStWBL/u0KGDfv3rX+vgwYO6+eabNWDAAC+OGjEEtUcIagB26iqWiW4AdclJwyQkJGjnzp2SpKKiIhmGoYKCAknSxo0bdfHFF3ty1kghqD1CUAMAAD9y0jAXX3yxXn/9dUnS4sWL1bx5c1VUVEj67wc5NGjQwJOzRgpBbePkyZP64x//qP79+6tDhw7q37+/pkyZopMnT9ZoH4IaAAD4kZOGGThwoK655hplZ2erY8eOuuuuu4LXFi1apPbt23tx1IghqC3s3btXzZs3VyAQUL9+/TR8+HD169dPgUBAiYmJ+uCDDxzvRVADAAA/ctIwhw4dUlpamgzDUGpqqj755JPgtRtvvFH33HOPByeNHILawrXXXqvOnTurpKSk0utHjhxRp06d1KtXL8d7EdQAAMCPatIwX331VZXXDhw4oC+//DIcR4saBLWF+Ph4vfrqqyGvrVmzRvHx8Y73IqgBAIAf0TD2CGoLKSkpWrduXchra9euVUpKiuO9GEYAAOBHNIw9gtrCnDlz1KVLFx07dqzS68eOHVPXrl01b948x3sxjAAAwI9oGHsEtYVRo0apdevWSkhIUP/+/TVixAj1799fCQkJuvTSSys9QXHMmDGWezGMAADAj2gYewS1hVBPSqxupaamWu7FMAIAAD+iYewR1B5hGAEAgB/RMPYIagvLli0L+fEvknTixAktW7bM8V4MIwAA8CMaxh5BbcE0Te3ZsyfktYKCApmm6XgvhhEAAPgRDWOPoLZgGEa1Qb1jxw4FAgHHezGMAADAj2gYewT1efLy8pSRkaGMjAwZhqH77rsv+PW5NWnSJHXu3Fldu3at0b4MIwAA8Bsaxh5BfZ709HQZhiHDMGSaZvDPP1yBQEBdu3bVzp07He/LMAIAAD+iYewR1BasbvmoKYYRAAD4EQ1jj6D2CMMIAAD8iIaxR1BbyMvLs1012YthBAAAfkPD2COoLZy7j9pqOcUwAgAAP6Jh7BHUFvLz86usDRs2aNy4cWrbtq02b97seC+GEQAA+BENY4+grqXHHntMY8eOdfx+hhEAAPgRDWOPoK6lbdu26aKLLnL8foYRAAD4EQ1jj6CupaeeekrJycmO388wAgAAP6Jh7BHUFs5/QmJGRoYmT56sX/3qV4qLi9ODDz7oeC+GEQAA+BENY4+gthDqKYnx8fFq3769nnzySX3zzTeO92IYAQCAH9Ew9ghqjzCMAADAj2gYewS1RxhGAADgRzSMPYLaxtmzZzV37lwNHTpUN910k4YNG6Z58+bp7NmzNdqHYQQAAH5Ew9gjqC2UlJSoXbt2MgxDaWlp6t27t9LS0mQYhtq3b68vvvjC8V4MIwAA8CMaxh5BbWHEiBFKTk7WO++8U+n13bt3q1WrVho5cqTjvRhGAADgRzSMPYLaQmJiopYuXRry2pIlS5SYmOh4L4YRAAD4EQ1jj6C2EB8fr5ycnJDXcnJylJCQ4HgvhhEAAPgRDWOPoLbQo0cPDRo0KOS122+/XT179nS8F8MIAAD8iIaxR1BbyM7Olmma6tixo6ZNm6ZFixZp+vTp6t+lhrkAACAASURBVNKli2JjY7Vx40bHezGMAADAj2gYewS1jY0bN6p79+4yTVOGYcg0TV199dV64403arQPwwgAAPyIhrFHUDtUWlqqI0eOqLS0tFbfzzACAAA/omHsEdQeYRgBAIAf0TD2CGqPMIwAAMCPaBh7BLVHGEYAAOBHNIw9gtojDCMAAPAjGsYeQe0RhhEAAPgRDWOPoPYIwwgAAPyIhrFHUHuEYQQAAH5Ew9gjqD3CMAIAAD+iYewR1B5hGAEAgB/RMPYIao8wjAAAwI9oGHsEtUcYRgAA4Ec0jD2C2iMMIwAA8CMaxh5B7RGGEQAA+BENY4+g9gjDCAAA/IiGsUdQe4RhBAAAfkTD2COoPcIwAgAAP6Jh7BHUHmEYAQCAH9Ew9ghqjzCMAADAj2gYewS1RxhGAADgRzSMPYLaIwwjAADwIxrGHkHtEYYRAAD4EQ1jj6D2CMMIAAD8iIaxR1B7hGEEAAB+RMPYI6g9wjACAAA/omHsEdQeYRgBAIAf0TD2CGqPZGVlKSYmRuPGjVNmZiaLxWKxWCyWL9a4ceMUExOjrKysSOdU1CKoPTJ48GDFxMSwWCwWi8Vi+XINHjw40jkVtQhqj7zyyiuKiYnR5MmTlZWVxWKxWCwWi+WLNXnyZMXExOiVV16JdE5FLYLaI9x/BAAA/IiGsUdQe4RhBAAAfkTD2COoPcIwAgAAP6Jh7BHUHmEYAQCAH9Ew9ghqjzCMAADAj2gYewS1RxhGAADcKy8vV3FxsQoLC3Xw4EGWi1VYWKji4mKVl5db/sxpGHsEtUcYRgAA3CkvL1dhYaEKCgp04MCBiAep39eBAwdUUFCgwsJCy6imYewR1B5hGAEAcKe4uFgFBQUqKSmJ9FEuGCUlJSooKFBxcXG176Fh7BHUHmEYAQBwp7CwUAcOHIj0MS44+/fv1+7du/Xuu++qtLS0ynUaxh5B7RGGEQAAd87dqoC6dfDgQW3btk0zZ87Uq6++WiWqaRh7BLVHGEYAANwhqMPj4MGD2rVrlxYsWKDp06frtddeq3SdhrFHUHuEYQQAwB2COjzOBfWqVav0l7/8RQsXLtR3330XvE7D2COoPcIwAgDgTrVBvX68tOiGyK3142v9z1RcXKwHH3xQPXr0UP369RUTUzXNDh48qFtvvVWXXHKJAoGAWrRooVtvvVW7d++u8t4vv/xSd911l5o1a6ZGjRpp0KBB+uyzzyzP8MOgfv755zV37lydOnUqeJ2GsUdQe4RhBADAnWqDetEN0tQmkVuLbqj1P9Nbb72l5ORkDRw4UL169QoZ1Lt379b//M//aNWqVXrrrbe0Zs0a9erVS/Xr11dBQUHwfeXl5erRo4dSUlK0evVqbdiwQV27dlVqamrIv2z4w5/ruaDOzMwkqGuBoPYIwwgAgDsXYlD/8POfp06dGjKoQzl9+rTq16+viRMnBl9bu3atYmJi9PbbbwdfO3z4sOrVq6dnn3222r0IavcIao8wjAAAuHMhBvUP1SSoKyoq1LhxYz366KPB10aNGqWUlJQq7+3Xr5/69etX7V4EtXsEtUcYRgAA3PmxB3V5ebn+85//BO+7bty4sT766KPg9Z49e+qXv/xlle/77W9/q+Tk5Gr3JajdI6g9wjACAODOjz2oR44cqZiYGMXExCgpKUn5+fmVrrdr104jR44MuW/9+vWr3Zegdo+g9gjDCACAOz/2oP7000/17rvvat26derXr5+aNWumvXv3Bq8T1JFDUHuEYQQAwJ0fe1D/0Hfffad27dpVusWDWz4ih6D2CMMIAIA7BHVlv/71r3X55ZcHv77nnnuUmppa5X033nijbrih+jMS1O4R1B5hGAEAcIeg/v99/fXXatOmjW699dbga2vWrFFMTEylB758/vnniouL09/+9rdq9yKo3SOoPcIwAgDgzoUa1GvWrNGaNWt0xx13KCYmJvj1e++9J0n63e9+p0cffVRr1qxRbm6uli9frp///OcKBAL6xz/+EdynrKxM3bt3V2pqqtasWaPs7Gx1795dKSkpOnPmjOXPlaB2h6D2CMMIAIA7F2pQn/vkjvPXPffcI0l6+eWX1bt3byUmJioQCCg1NVXDhw/Xhx9+WGWvY8eOacSIEWratKkaNmyo2267TZ9++qntz5Wgdoeg9gjDCACAO9UG9frx/43aSK31473/YdQhgto9gtojDCMAAO5UG9RwhaB2j6B24NSpU8rPz9fq1auVn59facicYhgBAHCHoA4Pgto9gtpCRUWFpkyZosaNG8s0TRmGIcMw1LhxY02dOlUVFRWO92IYAQBwh6AOD4LaPYLawqRJk2SapiZMmKCdO3fqf//3f7Vz5049+OCDMk1TkydPdrwXwwgAgDsEdXgQ1O4R1BZatGih//f//l/Ia5MmTVKLFi0c78UwAgDgDkEdHgS1ewS1hYYNG+rNN98MeW3r1q1q1KiR470YRgAA3CksLNSBAwcifYwLzv79+5WXl0dQu0BQW7j11lurva1j8uTJlZ5OZIdhBADAneLiYhUUFKikpCTSR7lglJSUqKCgQFu3biWoXSCoz3P48OHg2rlzp9q0aaNHHnlE+fn5KiwsVH5+viZOnKg2bdooPz/f8b4MIwAA7pSXl6uwsFAFBQXav39/8BYQVu3W/v37VVBQoNzcXL300ksEtQsE9XkMw5BpmsF17pM9qnvNKYYRAAD3ysvL9fnnn2vHjh3asWOHdu3axarlysvL09atW4MxvWrVKj3//POaN29epUeV0zD2COrzLFmyREuXLnW8nGIYAQCoO6+88oqmTZumFStWBGOQ5W6tXLlSM2fO1OLFi1VWVhb8WdMw9ghqjzCMAADUnX/+85+aM2eOZs2apYULF+rvf/87y8VatGiRnn76aT377LN69913K/2saRh7BLVDFRUVysjI0NGjR2v1/QwjAAB168CBA1qwYIH++te/6plnnmG5WH/5y180b9487d69u8qD62gYewS1Q2VlZTJNU3v37q3V9zOMAADUvRMnTqioqEj/93//x3KxPv30Ux0/fjzkU6BpGHsEtUNlZWUyDIOgBgAAPyo0jD2C2iGCGgAA/BjRMPYIaocqKio0atQoHT58uFbfzzACAAA/omHsEdQeYRgBAIAf0TD2CGoHjh49qj179igvL6/KcophBAAAfkTD2COoLXz++efq06dPyCck8qREAADwY0DD2COoLdxyyy1q0aKFMjMztX37duXn51dZTjGMAADAj2gYewS1hSZNmuill16qk70YRgAA4Ec0jD2C2sKll16qN954o072YhgBAIAf0TD2CGoLf/7znzVo0KCQTw2qKYYRAAD4EQ1jj6C2kJ6erpSUFHXo0EETJ05URkZGpTVt2jTHezGMAADAj2gYewS1hXOf6lHd4lM+AADAhY6GsUdQe4RhBAAAfkTD2COoPcIwAgAAP6Jh7BHUNs6ePau5c+dq6NChuummmzRs2DDNmzdPZ8+erdE+DCOAqHL0n9LUJv9dR/8Z6dMAiGI0jD2C2kJJSYnatWsnwzCUlpam3r17Ky0tTYZhqH379vriiy8c78UwAggLwhhAmDlpmCNHjmjr1q3KyspSVlaWtm7dquLiYg9PGVkEtYURI0YoOTlZ77zzTqXXd+/erVatWmnkyJGO9yKoAQCAH1k1TE5Ojrp16ybTNEN+eEPXrl3r7Jke0YygtpCYmKilS5eGvLZkyRIlJiY63ougBgAAflRdw6xevVqmaermm2/WihUr9P7776uoqEhFRUV6//33tWLFCg0YMECxsbFavXp1hE7vDYLaQnx8vHJyckJey8nJUUJCguO9CGoAAOBH1TVMp06d9NBDD9l+/0MPPaROnTqF63hRgaC20KNHDw0aNCjktdtvv109e/Z0vBdBDcAW90MDiELVNUx8fLxyc3Ntvz83N1fx8fHhOl5UIKgtZGdnyzRNdezYUdOmTdOiRYs0ffp0denSRbGxsdq4caPjvQhqAADgR9U1TFpammbMmGH7/dOnT1fbtm3DdbyoQFDb2Lhxo7p37x682d40TV199dU1vsGeoAYAAH5UXcNkZmYqNjZWDzzwgHbu3KkTJ06ovLxc5eXlOnHihHbt2qXx48erXr16yszMjNDpvUFQO1RaWqojR46otLS0Vt9PUAOwxS0fAKKQVcNkZmYqMTFRpmlWWYZhqHnz5nruuecicGpvEdQeIagBRBXiHYBDdg3z/fffKy8vT/Pnz9esWbM0a9YszZ8/X7m5ufr+++89Pm1kENTnycjIUElJSfDPdsspghpAWBDGAMKMhrFHUJ8nJSVF+/btC/7ZaqWmpjrel2EEAAB+VJuGOXbsmPbs2aMvv/wyjCeLHgS1RwhqAADgR9U1THl5uR599FE1b95cSUlJmjVrliRp6tSpiouLk2maio2N1cMPPxyJY3uKoLaQl5enM2fOhLxWWlpaozgmqAGEBbd8AAiz6hpmzpw5Mk1TI0aM0IQJE9S4cWNNnjxZ9evXV3p6ujZu3KjHHntM9erV08svvxyh03uDoLZgmqb27NkT8lpBQYFM03S8F0ENAAD8qLqG6dKli/7whz8Ev163bp1iY2M1efLkSu8bP368rrvuOk/OGikEtQXDMKoN6l27dikuLs7xXgQ1AADwo+oaplGjRtq2bVvw61OnTskwDO3YsaPS+7Kzs9WiRQtPzhopBPV59u/fr2XLlmnZsmUyDENTp04Nfn1uLVy4UDfccIMuv/xyx/sS1ACiCreKAHCouoZp0qSJtmzZEvy6rKxMhmFo7969ld731ltvKSEhwZOzRgpBfZ709HQZhhF8KuK5P5+/EhMTtW7dOsf7EtQAAMCPqmuYjh07au7cuZVe27ZtW5WH4C1ZskRt2rQJ9zEjiqA+z7///W8VFRXps88+k2EYWr9+vYqKiiqto0ePqqKiokb7EtQAAMCPqmuYCRMmaMyYMbbfP2jQIA0dOjRcx4sKBLWFoqIifffdd3WyF0ENICy4dQNAmLltmF27dqmoqKiOTxVdCGqHjh07psOHD1dZThHUAKIKIQ7AIRrGHkFtoaysTI8//rguuugimaYZcjnFMAIAAD+iYewR1BaefvpptWzZUitXrpRhGJo3b54WL16sPn36KC0tTTk5OY73YhgBAIAfuW2YtWvX1uiXkH5EUFvo0KGD5s+fH/JjYIYMGaKHHnrI8V4ENYCw4NYNAGFGUNsjqC00aNBAO3fulCTVr18/+GdJysnJqdGHlBPUAMKCoAYQZtU1zPnP6ahuTZgwgaD+MbvkkkuCt3W0bdtWs2fPDl5bvny5mjRp4ngvghoAAPhRdQ1j98yOHy6C+kds8ODBmjlzpiTpD3/4g5o1a6ZZs2bpmWeeUYsWLXTrrbc63ougBgAAflRdw1x88cUaNWpUled1nL/mzZtHUP+Yvffee3r11VclSadPn9bgwYNVr149GYaha665ho/NAxB53PIBIMyqa5hbb71VvXr1sv1+7qFGFd9++61OnTpV4+8jqAEAgB9V1zB/+ctfdOWVV9p+f0FBgUaNGhWu40UFgtojBDUAAPAjGsYeQX0ep39j9dxyimEEAAB+RMPYI6jP4+Rvqtbmb6wyjAAAwI9oGHsEtUcYRgBRhb/MCMAhGsYeQe0RhhGALS8jl6AG4BANY4+gtnD48GHb5RTDCAAA/IiGsUdQWzh3n7TVcophBBBV+A01AIdoGHsEtYWVK1dWWZmZmRowYIBSUlK0dOlSx3sxjAAAwI+cNMzx48er/J/7F154QQ8//LBycnLCfcSII6hr6d5779Xjjz/u+P0ENQAA8CMnDTNw4ECNHz8++HV6eroMw1BSUpJM09TLL7/sxVEjhqCupS1btigpKcnx+wlqAADgR04apmXLllq3bl3w6+TkZE2ZMkWSNHHiRP3sZz8L+zkjiaCupQULFigxMdHx+wlqAADgR04aJhAIaNeuXZKkDz74QKZp6pNPPpEk7dixQ02aNPHkrJFCUFsI9WTEF154QY888ogaN26sESNGON6LoAYAAH7kpGFat24dfIL0008/rdTU1OC1nJwcNW3aNOznjCSC2kJ1T0iMj4/Xb37zG508edLxXgQ1gKjCp3wAcMhJwzzwwANq2bKlfv/73ysxMbHS3zN75pln1K1bNy+OGjEEtYWioqIq61//+let9iKoAYQFYQwgzJw0zJkzZ3TvvfeqU6dOGjVqlEpLS4PXrr32Wj3xxBNeHDViCGqPENQAogohDsAhGsYeQe3Atm3bNGPGDI0fP14zZszQ9u3ba7wHwwggLAhjAGFGw9gjqC0cP35cffr0kWEYiouLU8uWLRUXFyfTNHX99dfr+PHjjvdiGAFEFUIcgENOGiYlJUWpqamW60JGUFsYOnSomjVrprVr16q8vFySVF5erjVr1qhZs2YaNmyY470IagAA4EdOGubee+/V2LFjK63BgwcrKSlJbdq00X333efhib1HUFto1KiRFi5cGPLa/Pnz1ahRI8d7EdQAAMCP3DTM6dOn1bt37+BH6l2oCGoLiYmJ2rRpU8hrmzZt4sEuAADggue2YdavX6927drV8amiC0FtYcKECbrjjjtCXhsyZIgmTJjgeC+CGkBU4R5qAA7VRVDX5P/q+xFBbWHBggVq3bq1unfvrhkzZmjRokWaMWOGunXrpksvvVQLFy6s9BRFKwQ1AADwIycNc/jw4Srr448/1uuvv6727durT58+Hp7YewS1heqelBhqmaZpuRdBDQAA/MhJw5xrofOXYRj66U9/qg8//NDDE3uPoLYQ6kmJVssKQQ0gLLh1A0CYOWmYJUuWaOnSpZVWVlaW3n77bZWVlXl42sggqD1CUAOwRRwDiEI0jD2C2kZFRYXeeOMNPf7447r//vv1xBNPKCcnp8b7MIwAAMCPaBh7BLWFU6dOqXfv3jIMQ4FAQK1bt1YgEJBpmrruuut0+vRpx3sxjAAAwI+qa5gbbrihRutCRlBbGDdunBo3bqysrKxKT0rMyspSkyZNNH78eMd7EdQAogq3lwBwqLqGGTVqVI3WhYygttCiRQvNmTMn5LXZs2crOTnZ8V4ENQAA8CMaxh5BbSEQCGjLli0hr23ZskWBQMDxXgwjAADwIxrGHkFtoVOnThozZkzIa2PHjlXnzp0d78UwArDFbRgAopCThsnIyLBc06ZN8/DE3iOoLSxevFiGYeiWW27R8uXLtXXrVq1YsUIDBw6UaZpaunSp470IagAA4EdOGqZevXpV1rmH39WrV09xcXEenth7BLWNefPmKSkpqdJTEVu0aKH58+fXaB+CGkBY8FttAGFW24Y5ffq0srKydNVVV+njjz8O0+miA0HtQHl5uT766CPl5+fro48+Cn7iR00Q1AAAwI/cNszs2bP1i1/8oo5PFV0Iao8Q1AAAwI/cNsy2bdvUsGHDOj5VdCGobRw6dEh33XWX0tLS1KBBA6Wlpenuu+/WoUOHarQPQQ0AAPzITcOUlZVp1KhRSktLC8PJogdBbeHNN99UfHy8kpKSNGbMGE2aNEljxoxRUlKSAoGAtm3b5ngvghpAWHAPNYAwc9IwoZ6M2KtXLyUlJck0Tc2dO9fDE3uPoLZw1VVXqW/fvvr6668rvX727Fn16dNHXbp0cbwXQQ0gLAhqAGHmpGGuv/569e3bt9IaMGCA7r//fm3fvt3D00YGQW0hEAgoOzs75LUNGzYoPj7e8V4ENYCwIKgBhBkNY4+gtnDllVdq1apVIa+tXLlSV1xxheO9GEYAYUFQAwgzGsYeQW1hzZo1atu2rfbt21fp9Q8++EBt27bV2rVrHe/FMAIIC4IaQJg5bZgTJ05o+fLlmjlzpp588slKa8qUKR6dNjIIagt9+/ZVcnKyTNNUWlqarr32WqWlpck0TbVs2bLSjff9+vWz3IugBhAWBDWAMHPSMJs2bVKjRo1kGIZM06zy1ESelPgjFuoGe6tlhaAGEBYENYAwc9IwV155pfr166dDhw7V6gF4fkdQe4SgBhBVCHEADjlpmIYNG+rNN9/08FTRhaD2CEENICwIYwBh5qRhbrzxRi1cuNDDU0UXgtojBDUAAPAjJw1z6NAhde7cWWvXrtWpU6c8PF10IKg9QlADCAt+Qw0gzJw0zNdff627775bpmmGXLGxsR6e2HsEtUcIagBhQVADCDMnDTN8+HAFAgHdeeedmjJlimbMmFFlXcgIao8Q1AAAwI+cNEyjRo00e/ZsD08VXQhqCxkZGSopKQl57YsvvlBGRobjvQhqAADgR04a5pJLLtHmzZs9PFV0IagtmKapPXv2hLxWUFAg0zQd70VQA4gq3CoCwCEnDTNr1iwNGTLEw1NFF4LagmEY1Qb1pk2blJCQ4HgvghoAAPiRk4aZOnWq2rRpo06dOmnixInKyMiotKZNm+bhib1HUJ/ntdde0+jRozV69GgZhqHbbrst+PW5NXz4cLVq1Uq9evVyvC9BDQAA/MhJwxiGYblq8n/1/YigPs9zzz2nlJQUpaSkyDRNtWzZMvj1uXX55Zfr9ttv18GDBx3vS1ADAAA/omHsEdQWUlJStG/fvjrZi2EEEFW4hxqAQzSMPYLaIwwjAADwo+oa5vDhw/r++++Df7ZbFzKC2sKyZctsl1MENYCw4DfNAMKsuob54Yc3nLtPOtTiHuofOasb688tpwhqAADgR9U1TG5urs6cOSNJeuutt5Sbm2u5LmQEtYUjR45UWQcOHNBTTz2lK664Qnv37nW8F0ENAAD8iIaxR1DX0syZM2v0AeYMI4Cw4JYPAGHmpGFSU1Or/SCHf/7zn0pNTQ3X8aICQV1L27dvV+PGjR2/n6AGEBYENYAwc/o51NU9DO/dd99VbGxsuI4XFQjqWnrsscd02WWXOX4/QQ0AAPzIaVC/++67VV7/7rvvNGvWLP3kJz8J5xEjjqC2cP4TEkePHq2RI0eqW7duMk1TU6dOdbwXQQ0AAPyouoZJT0+v9pM9zl/jxo2L0Om9QVBbaNOmTZWnJF5xxRW66aab9OKLL6q8vNzxXgQ1gKjCrSIAHLL6lI/09HRNnTpVhmFo7NixSk9Pr7T+9Kc/6bXXXqtRM/kRQe0RghoAAPiRk4ZJT0/XkSNHPDxVdCGoPUJQA7DFb40BRKHaNsyhQ4e0fv16HT16NEwnix4EtY2TJ0/qj3/8o/r3768OHTqof//+mjJlik6ePFmjfQhqAADgR04aZvz48ZXuk167dq3i4uJkGIaaNm0a8i8sXkgIagt79+5V8+bNFQgE1K9fPw0fPlz9+vVTIBBQYmKiPvjgA8d7EdQAogq/DQfgkNPPoV6xYkXw6w4dOujXv/61Dh48qJtvvlkDBgzw4qgRQ1BbuPbaa9W5c2eVlJRUev3IkSPq1KmTevXq5XgvghpAVCGoATjkpGESEhK0c+dOSVJRUZEMw1BBQYEkaePGjbr44os9OWukENQW4uPj9eqrr4a8tmbNGsXHxzvei6AGAAB+5KRhLr74Yr3++uuSpMWLF6t58+aqqKiQ9N+H4TVo0MCTs0YKQW0hJSVF69atC3lt7dq1SklJcbwXQQ0gLPhNM4Awc9IwAwcO1DXXXKPs7Gx17NhRd911V/DaokWL1L59ey+OGjEEtYU5c+aoS5cuOnbsWKXXjx07pq5du2revHmO9yKoAYQFQQ0gzJw0zKFDh5SWlibDMJSamqpPPvkkeO3GG2/UPffc48FJI4egtjBq1Ci1bt1aCQkJ6t+/v0aMGKH+/fsrISFBl156aaUnKI4ZM8ZyL4IaQFQhxAE4VJOG+eqrr6q8duDAAX355ZfhOFrUIKgthHpSYnUrNTXVci+CGgAA+BENY4+g9gjDCAAA/IiGsUdQW1i2bFnI/3UhSSdOnNCyZcsc78UwAgAAP6Jh7BHUFkzT1J49e0JeKygokGmajvdiGAEAgB/RMPYIaguGYVQb1Dt27FAgEHC8F8MIAAD8iIaxR1CfJy8vTxkZGcrIyJBhGLrvvvuCX59bkyZNUufOndW1a9ca7cswAgAAv6Fh7BHU50lPT5dhGDIMQ6ZpBv/8wxUIBNS1a9fgIzadYBgBAIAf0TD2CGoLVrd81BTDCAAA/IiGsUdQe4RhBAAAfkTD2COoLeTl5dmumuzFMAIAAL+hYewR1BbO3UdttZxiGAEAgB/RMPYIagv5+flV1oYNGzRu3Di1bdtWmzdvdrwXwwgAAPyIhrFHUNfSY489prFjxzp+P8MIAAD8iIaxR1DX0rZt23TRRRc5fj/DCAAA/IiGsUdQ19JTTz2l5ORkx+9nGAEAgB/RMPYIagvnPyExIyNDkydP1q9+9SvFxcXpwQcfdLwXwwgAAPyIhrFHUFsI9ZTE+Ph4tW/fXk8++aS++eYbx3sxjAAAwI9oGHsEtUcYRgAA4Ec0jD2C2iMMIwAA8CMaxh5BbePs2bOaO3euhg4dqptuuknDhg3TvHnzdPbs2RrtwzACAAA/omHsEdQWSkpK1K5dOxmGobS0NPXu3VtpaWkyDEPt27fXF1984XgvhhEAAPgRDWOPoLYwYsQIJScn65133qn0+u7du9WqVSuNHDnS8V4MIwAA8CMaxh5BbSExMVFLly4NeW3JkiVKTEx0vBfDCAAA/IiGsUdQW4iPj1dOTk7Iazk5OUpISHC8F8MIAAD8iIaxR1Bb6NGjhwYNGhTy2u23366ePXs63othBAAAfkTD2COoLWRnZ8s0TXXs2FHTpk3TokWLNH36dHXp0kWxsbHauHGj470YRgAA4Ec0jD2C2sbGjRvVvXt3maYpwzBkmqauvvpqvfHGGzXah2EEAAB+RMPYI6gdKi0t1ZEjR1RaWlqr72cYAQCAH9Ew9ghqjzCMAADAj2gYewS1RxhGAADgRzSMPYLaIwwjAADwIxrGHkHtEYYRAAD4EQ1jj6D2CMMIAAD8cYUk3gAAArtJREFUiIaxR1B7hGEEAAB+RMPYI6g9wjACAAA/omHsEdQeYRgBAIAf0TD2CGqPMIwAAMCPaBh7BLVHGEYAAOBHNIw9gtojDCMAAPAjGsYeQe0RhhEAAPgRDWOPoPYIwwgAAPyIhrFHUHuEYQQAAH5Ew9gjqD3CMAIAAD+iYewR1B5hGAEAgB/RMPYIao8wjAAAwI9oGHsEtUcYRgAA4Ec0jD2C2iMMIwAA8CMaxh5B7RGGEQAA+BENY4+g9gjDCAAA/IiGsUdQe4RhBAAAfkTD2COoPcIwAgAAP6Jh7BHUHmEYAQCAH9Ew9ghqj2zevFkxMTHKzMxUXl4ei8VisVgsli9WZmamYmJitHnz5kjnVNQiqD1ybhhZLBaLxWKx/LgyMzMjnVNRi6D2yPHjx5WZmanNmzdH/L80WSwWi8VisZyuzZs3KzMzU8ePH490TkUtghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAQAAABcIagAAAMAFghoAAABwgaAGAAAAXCCoAeD/a7eOBQAAAAAG+VsPYm9RBACDUAMAwCDUAAAwCDUAAAxCDQAAg1ADAMAg1AAAMAg1AAAMQg0AAINQAwDAINQAADAINQAADEINAACDUAMAwCDUAAAwCDUAAAxCDQAAg1ADAMAg1AAAMAg1AAAMQg0AAINQAwDAINQAADAINQAADAGsZ8kT9UFkQwAAAABJRU5ErkJggg==\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"z1 = \"80\"\n",
"z2 = \"130\"\n",
"fig, ( (sp1), (sp2) ) = plt.subplots(2,1)\n",
"\n",
"clrs = ['C{}'.format(i) for i in range(5)] # [80, 130, 180, 230, 280]\n",
"\n",
"sp1.eventplot( y[z1][\"out\"][\"out\"+z1][\"spiketrains\"], colors=clrs[0] )\n",
"sp2.eventplot( y[z2][\"out\"][\"out\"+z2][\"spiketrains\"], colors=clrs[1] )\n",
"\n",
"# legend\n",
"z1_patch = mpatches.Patch(color=clrs[0], label=z1)\n",
"z2_patch = mpatches.Patch(color=clrs[1], label=z2)\n",
"\n",
"\n",
"sp1.margins(10,0.5)\n",
"sp2.margins(10,0.5)\n",
"\n",
"sp1.set_yticks([])\n",
"sp1.set(ylabel=\"output population-a\")\n",
"sp2.set_yticks([])\n",
"sp2.set(ylabel=\"output population-b\")\n",
"\n",
"sp1right = sp1.twinx()\n",
"sp2right = sp2.twinx()\n",
"\n",
"sp1right.set_yticks([])\n",
"sp1right.set_ylabel(\"stimulus \"+z1)\n",
"sp2right.set_yticks([])\n",
"sp2right.set_ylabel(\"stimulus \"+z2)\n",
"\n",
"sp1.legend( handles=[z1_patch], shadow=True )\n",
"sp2.legend( handles=[z2_patch], shadow=True )\n",
"\n",
"# remove vertical gap between subplots\n",
"plt.subplots_adjust(hspace=.0)\n",
"plt.xticks([])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We may also visualize the population of the output layer in the context of other layers for respective stimulus."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"z = \"80\"\n",
"fig, ( (sp1),\n",
" (sp2),\n",
" (sp3),\n",
" (sp4),\n",
" (sp5),\n",
" (sp6) ) = plt.subplots(6,1,sharex=True)\n",
"fig.suptitle(\"Temporal Info. Processing Model\")\n",
"\n",
"[ sp1.plot(y[z][\"out\"][\"out\"+z][\"placeholder_axes\"], alpha=0.0) if i==0 else\n",
" sp1.eventplot( y[z][\"out\"][\"out\"+z][\"spiketrains\"] ) for i in range(2) ]\n",
"sp1.set(ylabel=\"output\")\n",
"\n",
"sp2.eventplot( y[z][\"inh3\"].segments[0].spiketrains )\n",
"sp2.set(ylabel=\"inh3\")\n",
"\n",
"sp3.eventplot( y[z][\"ex3\"].segments[0].spiketrains )\n",
"sp3.set(ylabel=\"ex3\")\n",
"\n",
"sp4.eventplot( y[z][\"inh4\"].segments[0].spiketrains )\n",
"sp4.set(ylabel=\"inh4\")\n",
"\n",
"sp5.eventplot( y[z][\"ex4\"].segments[0].spiketrains )\n",
"sp5.set(ylabel=\"ex4\")\n",
"\n",
"sp6.eventplot( y[z][\"popIn\"].segments[0].spiketrains )\n",
"sp6.set(ylabel=\"popIn\")\n",
"sp6.set(xlabel=\"time (ms)\")\n",
"\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "sPyNNaker",
"language": "python",
"name": "spynnaker"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}