larvaworld.lib.sim.base_run

Classes

Basic Class for the Agent-based model

Module Contents

class larvaworld.lib.sim.base_run.BaseRun(screen_kws: dict[str, Any] = {}, **kwargs: Any)

Bases: larvaworld.lib.sim.ABM_model.ABModel

Basic Class for the Agent-based model Extends the agentpy Model class

agent_class

is_paused = False

datasets = None

results = None

exp_condition = None

figs

agents = []

sources = []

obstacles = []

screen_kws

screen_manager

property end_condition_met: bool

sim_step() → None: Proceeds the simulation by one step, incrementing Model.t by 1 and then calling Model.step() and Model.update().

step_env() → None

property Nticks: int

property sensorscapes

set_obj_visibility(objs, vis: bool = True) → None

build_env(p: Any) → None

create_odor_layers(odorscape: str, **kwargs: Any)

property odor_ids

place_obstacles(barriers: dict = {}) → None

place_food(p: Any) → None

get_all_objects()

place_agents(confs: list[Any]) → None

property screen_class

delete_agent(a: Any) → None

delete_source(a: Any) → None

delete_agents(agent_list: Any | None = None) → None

set_collectors(cs: Any) → None

property configuration_text

classmethod visualize_Env(envID: Any | None = None, envConf: Any | None = None, id: Any | None = None, duration: int = 1, screen_kws: dict[str, Any] = {}, func: Any | None = None, **kwargs: Any) → None