spynnaker.pyNN.data package

Submodules

spynnaker.pyNN.data.spynnaker_data_writer module

class spynnaker.pyNN.data.spynnaker_data_writer.SpynnakerDataWriter(state: DataStatus)[source]

Bases: FecDataWriter, SpynnakerDataView

See UtilsDataWriter.

This class is designed to only be used directly by spinn_front_end_common.interface.abstract_spinnaker_base.AbstractSpinnakerBase and its subclasses and within the PyNN repositories unit tests.

Parameters:

state (DataStatus) – State writer should be in

set_up_timings_and_delay(simulation_time_step_us, time_scale_factor, min_delay)[source]
Parameters:
  • simulation_time_step_us (int or None) – An explicitly specified time step for the simulation in microseconds. If None, the value is read from the configuration

  • time_scale_factor (float or None) – An explicitly specified time scale factor for the simulation. If None, the value is read from the configuration

  • min_delay (int, float or None) – new value or None to say use simulation_time_step_ms

shut_down()[source]

Puts all data into the state expected after sim.end.

Most methods that change data, or state will raise an exception after this call.

Most data however will still be available.

Module contents

class spynnaker.pyNN.data.SpynnakerDataView

Bases: FecDataView

Adds the extra Methods to the View for PyNN level.

See UtilsDataView for a more detailed description.

Use this class wherever possible as it inherits all methods from all View classes.

classmethod add_population(population)[source]

Called by each population to add itself to the list.

Usage other than from Population.__init__ is not supported and likely to raise an exception

Increments the all population ID counter by the size of the population.

Parameters:

population (Population) – Population to add

Returns:

The first and last global IDs for this Population

Return type:

tuple(int, int)

Raises:
  • SimulatorRunningException – If sim.run is currently running

  • SimulatorNotSetupException – If called before sim.setup

  • SimulatorShutdownException – If called after sim.end

classmethod add_projection(projection)[source]

Called by each projection to add itself to the list.

Usage other than from Projection.__init__ is not supported and likely to raise an exception

Parameters:

projection (Projection) – Projection to add

Raises:

SpiNNUtilsException – If projections should not be added in the current state

classmethod get_min_delay()[source]

The minimum supported delay if available, in milliseconds.

Typically simulation_time_step_per_ms but may be a positive multiple of it.

Return type:

float

Raises:

SpiNNUtilsException – If the min_delay is currently unavailable

classmethod get_n_populations()[source]

The number of populations previously added.

Return type:

int

classmethod get_n_projections()[source]

The number of projections previously added.

rtype: int

classmethod get_segment_counter()[source]

The number of the current recording segment being generated.

Returns:

the segment counter

Return type:

int

classmethod get_sim_name()[source]

Gets the name to be returned by pyNN.spiNNaker.name.

Return type:

str

classmethod has_min_delay()[source]

Report if there is a minimum supported delay available.

Return type:

bool

classmethod iterate_populations()[source]

An iteration of the populations previously added.

The iteration will be empty if no populations added.

Return type:

iterable(Population)

classmethod iterate_projections()[source]

An iteration of the projections previously added.

The iteration will be empty if no projections added.

Return type:

iterable(Projection)

classmethod set_number_of_neurons_per_dimension_per_core(neuron_type, max_permitted)[source]

Sets a ceiling on the number of neurons of a given type that can be placed on a single core for each dimension.

Parameters: