RuntimeDevice class

(Shortest import: from brian2.devices import RuntimeDevice)

class brian2.devices.device.RuntimeDevice

Bases: Device

The default device used in Brian, state variables are stored as numpy arrays in memory.

Attributes

arrays

Mapping from Variable objects to numpy arrays (or DynamicArray 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().
get_random_state()	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 this Device.

Details

arrays

Mapping from Variable objects to numpy arrays (or DynamicArray objects). Arrays in this dictionary will disappear as soon as the last reference to the Variable object used as a key is gone

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=True)

Return a globally unique name for var().

get_random_state()

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.

get_value(var, access_data=True)

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=None)

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 this Device.