spynnaker8.utilities package

Submodules

spynnaker8.utilities.exceptions module

exception spynnaker8.utilities.exceptions.DelayExtensionException[source]

Bases: spinn_front_end_common.utilities.exceptions.ConfigurationException

Raised when a delay extension vertex fails

exception spynnaker8.utilities.exceptions.FilterableException[source]

Bases: spynnaker8.utilities.exceptions.Spynnaker8Exception

Raised when it is not possible to determine if an edge should be filtered

exception spynnaker8.utilities.exceptions.InvalidParameterType[source]

Bases: spynnaker8.utilities.exceptions.Spynnaker8Exception

Raised when a parameter is not recognised

exception spynnaker8.utilities.exceptions.MemReadException[source]

Bases: spynnaker8.utilities.exceptions.Spynnaker8Exception

Raised when the pynn front end fails to read a certain memory region

exception spynnaker8.utilities.exceptions.Spynnaker8Exception[source]

Bases: Exception

Superclass of all exceptions from the pynn module

exception spynnaker8.utilities.exceptions.SynapticBlockGenerationException[source]

Bases: spinn_front_end_common.utilities.exceptions.ConfigurationException

Raised when the synaptic manager fails to generate a synaptic block

exception spynnaker8.utilities.exceptions.SynapticBlockReadException[source]

Bases: spinn_front_end_common.utilities.exceptions.ConfigurationException

Raised when the synaptic manager fails to read a synaptic block or convert it into readable values

exception spynnaker8.utilities.exceptions.SynapticConfigurationException[source]

Bases: spinn_front_end_common.utilities.exceptions.ConfigurationException

Raised when the synaptic manager fails for some reason

exception spynnaker8.utilities.exceptions.SynapticMaxIncomingAtomsSupportException[source]

Bases: spinn_front_end_common.utilities.exceptions.ConfigurationException

Raised when a synaptic sublist exceeds the max atoms possible to be supported

spynnaker8.utilities.id module

class spynnaker8.utilities.id.ID(n)[source]

Bases: int, pyNN.common.populations.IDMixin

A filter container for allowing random setters of values

Create an ID object with numerical value n.

spynnaker8.utilities.neo_compare module

spynnaker8.utilities.neo_compare.compare_analogsignal(as1, as2, same_length=True)[source]

Compares two analogsignalarray Objects to see if they are the same

Parameters:
  • as1 (Analogsignal) – first analogsignal holding list of individual analogsignal Objects
  • as2 (Analogsignal) – second analogsignal holding list of individual analogsignal Objects
  • same_length (bool) – Flag to indicate if the same length of data is held. I.e.: All spikes up to the same time. If False allows one trains to have additional data after the first ends. This is used to compare data extracted part way with data extracted at the end.
Raises:

AssertionError – If the analogsignalarrays are not equal
spynnaker8.utilities.neo_compare.compare_blocks(neo1, neo2, same_runs=True, same_data=True, same_length=True)[source]

Compares two neo Blocks to see if they hold the same data.

Parameters:
  • neo1 (Block) – First block to check
  • neo2 – Second block to check
  • same_runs (bool) – Flag to signal if blocks are the same length. If False extra segments in the larger block are ignored
  • same_data (bool) – Flag to indicate if the same type of data is held. I.e.: Same spikes, v, gsyn_exc and gsyn_inh. If False only data in both blocks is compared
  • same_length (bool) – Flag to indicate if the same length of data is held. I.e.: All spikes up to the same time. If False allows one trains to have additional data after the first ends. This is used to compare data extracted part way with data extracted at the end.
Return type:

None
Raises:

AssertionError – If the blocks are not equal
spynnaker8.utilities.neo_compare.compare_segments(seg1, seg2, same_data=True, same_length=True)[source]
Parameters:
  • seg1 (Segment) – First Segment to check
  • seg2 (Segment) – Second Segment to check
  • same_data (bool) – Flag to indicate if the same type of data is held. I.e.: Same spikes, v, gsyn_exc and gsyn_inh. If False only data in both blocks is compared
  • same_length (bool) – Flag to indicate if the same length of data is held. I.e.: All spikes up to the same time. If False allows one trains to have additional data after the first ends. This is used to compare data extracted part way with data extracted at the end.
Return type:

None
Raises:

AssertionError – If the segments are not equal
spynnaker8.utilities.neo_compare.compare_spiketrain(spiketrain1, spiketrain2, same_length=True)[source]

Checks two Spiketrains have the exact same data

Parameters:
  • spiketrain1 (SpikeTrain) – first spiketrain
  • spiketrain2 – second spiketrain
  • same_length (bool) – Flag to indicate if the same length of data is held. I.e.: All spikes up to the same time. If False allows one trains to have additional spikes after the first ends This is used to compare data extracted part way with data extracted at the end.
Return type:

None
Raises:

AssertionError – If the spiketrains are not equal
spynnaker8.utilities.neo_compare.compare_spiketrains(spiketrains1, spiketrains2, same_data=True, same_length=True)[source]

Check two Lists of SpikeTrains have the exact same data

Parameters:
  • spiketrains1 (List[SpikeTrain]) – First list SpikeTrains to compare
  • spiketrains2 (List[SpikeTrain]) – Second list of SpikeTrains to compare
  • same_data (bool) – Flag to indicate if the same type of data is held. I.e.: Same spikes, v, gsyn_exc and gsyn_inh. If False allows one or both lists to be Empty. Even if False none empty lists must be the same length
  • same_length (bool) – Flag to indicate if the same length of data is held. I.e.: All spikes up to the same time. If False allows one trains to have additional spikes after the first ends This is used to compare data extracted part way with data extracted at the end.
Raises:

AssertionError – If the spiketrains are not equal

spynnaker8.utilities.neo_convertor module

spynnaker8.utilities.neo_convertor.convert_analog_signal(signal_array, time_unit=UnitTime('millisecond', 0.001 * s, 'ms'))[source]

Converts part of a NEO object into told spynakker7 format

Parameters:
  • signal_array – Extended Quantities object
  • time_unit – Data time unit for time index
Return type:

ndarray
spynnaker8.utilities.neo_convertor.convert_data(data, name, run=0)[source]

Converts the data into a numpy array in the format ID, time, value

Parameters:
  • data (SpynnakerNeoBlock) – Data as returned by a getData() call
  • name (str) – Name of the data to be extracted. Same values as used in getData()
  • run (int) – Zero based index of the run to extract data for
Return type:

nparray
spynnaker8.utilities.neo_convertor.convert_data_list(data, name, runs=None)[source]

Converts the data into a list of numpy arrays in the format ID, time, value

Parameters:
  • data (SpynnakerNeoBlock) – Data as returned by a getData() call
  • name (str) – Name of the data to be extracted. Same values as used in getData()
  • runs – List of Zero based index of the run to extract data for. Or None to extract all runs
Return type:

list(nparray)
spynnaker8.utilities.neo_convertor.convert_gsyn(gsyn_exc, gsyn_inh)[source]

Converts two neo objects into the spynakker7 format

Note

It is acceptable for both neo parameters to be the same object

Parameters:
  • gsyn_exc – neo with gsyn_exc data
  • gsyn_inh – neo with gsyn_exc data
Return type:

nparray
spynnaker8.utilities.neo_convertor.convert_gsyn_exc_list(data)[source]

Converts the gsyn_exc into a list numpy array one per segment (all runs) in the format ID, time, value

Parameters:data (SpynnakerNeoBlock) – The data to convert; it must have Gsyn_exc data in it
Return type:list(nparray)
spynnaker8.utilities.neo_convertor.convert_gsyn_inh_list(data)[source]

Converts the gsyn_inh into a list numpy array one per segment (all runs) in the format ID, time, value

Parameters:data (SpynnakerNeoBlock) – The data to convert; it must have Gsyn_inh data in it
Return type:list(nparray)
spynnaker8.utilities.neo_convertor.convert_spikes(neo, run=0)[source]

Extracts the spikes for run one from a Neo Object

Parameters:
  • neo – neo Object including Spike Data
  • run (int) – Zero based index of the run to extract data for
Return type:

nparray
spynnaker8.utilities.neo_convertor.convert_spiketrains(spiketrains)[source]

Converts a list of spiketrains into spynakker7 format

Parameters:spiketrains – List of SpikeTrains
Return type:nparray
spynnaker8.utilities.neo_convertor.convert_v_list(data)[source]

Converts the voltage into a list numpy array one per segment (all runs) in the format ID, time, value

Parameters:data (SpynnakerNeoBlock) – The data to convert; it must have V data in it
Return type:list(nparray)
spynnaker8.utilities.neo_convertor.count_spikes(neo)[source]

Help function to count the number of spikes in a list of spiketrains

Only counts run 0

Parameters:neo – Neo Object which has spikes in it
Returns:The number of spikes in the first segment
spynnaker8.utilities.neo_convertor.count_spiketrains(spiketrains)[source]

Help function to count the number of spikes in a list of spiketrains

Parameters:spiketrains – List of SpikeTrains
Returns:Total number of spikes in all the spiketrains

spynnaker8.utilities.version_util module

spynnaker8.utilities.version_util.detect_supported_configuration(pynn_version, neo_version)[source]

Check if the version configuration of PyNN and Neo is one we support.

Note

We strongly encourage the use of PyNN 0.9 and Neo 0.6.

Returns:True if we’re using old PyNN 0.8 syntax
Raises:ImportError – If a truly unsupported system is present or if we cannot parse the version numbers (shouldn’t happen)

Module contents

class spynnaker8.utilities.ID(n)[source]

Bases: int, pyNN.common.populations.IDMixin

A filter container for allowing random setters of values

Create an ID object with numerical value n.