RuntimeDevice class
(Shortest import: from brian2.devices import RuntimeDevice)
- class brian2.devices.device.RuntimeDevice[source]
Bases:
Device
The default device used in Brian, state variables are stored as numpy arrays in memory.
Attributes
Mapping from
Variable
objects to numpy arrays (orDynamicArray
objects).Methods
add_array
(var)Add an array to this device.
fill_with_array
(var, arr)Fill an array with the values given in another array.
get_array_name
(var[, access_data])Return a globally unique name for
var
.Return a (pickable) representation of the current random number generator state.
get_value
(var[, access_data])init_with_arange
(var, start, dtype)Initialize an array with an integer range.
init_with_zeros
(var, dtype)Initialize an array with zeros.
resize
(var, new_size)Resize a
DynamicArrayVariable
.resize_along_first
(var, new_size)seed
([seed])Set the seed for the random number generator.
set_random_state
(state)Reset the random number generator state to a previously stored state (see
Device.get_random_state
).set_value
(var, value)spike_queue
(source_start, source_end)Create and return a new
SpikeQueue
for thisDevice
.Details
- arrays
Mapping from
Variable
objects to numpy arrays (orDynamicArray
objects). Arrays in this dictionary will disappear as soon as the last reference to theVariable
object used as a key is gone
- get_random_state()[source]
Return a (pickable) representation of the current random number generator state. Providing the returned object (e.g. a dict) to
Device.set_random_state
should restore the random number generator state.
- set_random_state(state)[source]
Reset the random number generator state to a previously stored state (see
Device.get_random_state
).