rgrow.Simulation

class rgrow.Simulation

A combination of a System, and a list of States, which can be added to.

This is not generally created directly, but is instead usually created from a TileSet, using TileSet.to_simulation().

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
add_n_states(n)	Adds n new states to the simulation.
add_state()	Add a new state to the simulation.
canvas_copy([state_index])	Returns the current canvas for state_index (default 0), as an array copy.
canvas_view([state_index])	Returns the current canvas for state_index (default 0), as a direct view of the state array.
evolve([state_index, for_events, ...])	Evolve a particular state, with index state_index, subject to some bounds.
evolve_all([for_events, total_events, ...])	Evolve all states, stopping each as they reach the boundary conditions.
evolve_some(state_indices[, for_events, ...])	Evolve some states, stopping each as they reach the boundary conditions.
get_system_param(name)	Gets a system parameter.
mismatch_array([state_index])
n_mismatches([state_index])
name_canvas([state_index])	Returns the current canvas for state_index (default 0), as an array of tile names.
plot_state([state_index, ax])	Plot a state as a pcolormesh.
set_system_param(name, value)	Sets a system parameter.
state_events([state_index])	Returns the number of events simulated for the state.
state_ntiles([state_index])	Returns the number of tiles in the state.
state_time([state_index])	Returns the amount of time simulated (in seconds) for the state.
tile_cmap()	Returns a matplotlib colormap for tile numbers.

Attributes

states_events	Returns a list of the total number of events simulated for each state.
states_ntiles	Returns a list of the number of tiles in each state.
states_time	Returns a list of the amount of time simulated (in seconds) for each state.
tile_colors
tile_concs
tile_names
tile_stoics