# Write min, average and max bug size to file
file_handle.write(
str(bug_min) + " " + str(bug_mean) + " " + str(bug_max) + "\n")
# Update plots
model.update_plots()
def close(model):
if file_handle:
file_handle.close()
stupid_model = Model("StupidModel w. file output (stupid08)",
100,
100,
tile_size=5)
stupid_model.add_button("setup", setup)
stupid_model.add_button("step", step)
stupid_model.add_toggle_button("go", step)
stupid_model.add_controller_row()
stupid_model.add_slider("initial_bugs", 100, 10, 300)
stupid_model.add_controller_row()
stupid_model.add_slider("max_food_eat", 1.0, 0.1, 1.0)
stupid_model.add_controller_row()
stupid_model.add_slider("max_food_prod", 0.01, 0.01, 0.1)
stupid_model.histogram("grow_size", 0, 10, 5, (0, 0, 0))
stupid_model.on_close(close)
run(stupid_model)
for x in range(10):
model.add_agent(Robot())
model.speed_factor = 1
for t in model.tiles:
if randint(0, 50) == 50:
t.color = (0, 255, 255)
t.info["has_mineral"] = True
else:
t.color = (200, 100, 0)
t.info["has_mineral"] = False
model.add_agent(Homebase())
model.clear_plots()
model.minerals_collected = 0
def step(model):
for ag in model.agents:
ag.step(model)
model.update_plots()
miner_model.add_button("Setup", setup)
miner_model.add_toggle_button("Go", step)
miner_model.add_slider("speed_factor", 1, 1, 5)
miner_model.line_chart(["minerals_collected"], [(0, 200, 200)])
run(miner_model)
if model.agent_count() == 0:
model.pause()
def close(model):
if file_handle:
file_handle.close()
stupid_model = Model(
"StupidModel w. gauss distribution of sizes (stupid14)",
100,
100,
tile_size=5,
)
stupid_model.add_button("setup", setup)
stupid_model.add_button("step", step)
stupid_model.add_toggle_button("go", step)
stupid_model.add_controller_row()
stupid_model.add_slider("initial_bugs", 100, 10, 300)
stupid_model.add_controller_row()
stupid_model.add_slider("max_food_eat", 1.0, 0.1, 1.0)
stupid_model.add_slider("max_food_prod", 0.01, 0.01, 0.1)
stupid_model.add_controller_row()
stupid_model.add_slider("initialBugSizeMean", 1, 0, 10)
stupid_model.add_slider("initialBugSizeSD", 5, 0, 10)
stupid_model.histogram("grow_size", 0, 10, 5, (0, 0, 0))
stupid_model.line_chart(["current_bugs"], [(0, 0, 0)])
stupid_model.on_close(close)
run(stupid_model)
def setup(model):
model.reset()
model.clear_plots()
model.total_util = 0
model.BNP = 0
people = set([Person() for i in range(20)])
model.add_agents(people)
def step(model):
model.BNP = 0
for a in model.agents:
a.step(model)
model.BNP += a.utility()
model.update_plots()
model.remove_destroyed_agents()
bnb_model = Model("Bread & butter economy during pandemic", 50, 50)
bnb_model.add_button("Setup", setup)
bnb_model.add_button("Step", step)
bnb_model.add_button("Go", step, toggle=True)
bnb_model.add_controller_row()
bnb_model.add_slider("movespeed", 0.5, 0.1, 1)
bnb_model.add_checkbox("Decay")
bnb_model.line_chart(["BNP"], [(0, 0, 0)])
bnb_model.show_direction = False
run(bnb_model)
def model_setup(model):
model.reset()
model.Susceptible = 0
model.Infectious = 0
model.Recovered = 0
for person in range(100):
model.add_agent(Person())
def model_step(model):
for person in model.agents:
person.step(model)
model.update_plots()
epidemic_model = Model("Epidemimodel", 100, 100)
epidemic_model.add_button("Setup", model_setup)
epidemic_model.add_button("Go", model_step, toggle=True)
epidemic_model.line_chart(["Susceptible", "Infectious", "Recovered"],
[(0, 200, 0), (200, 0, 0), (0, 0, 200)])
epidemic_model.add_checkbox("enable_groups")
epidemic_model.add_controller_row()
epidemic_model.add_slider("social_distance", 50, 0, 80)
epidemic_model.add_controller_row()
epidemic_model.add_slider("infection_distance", 15, 0, 40)
run(epidemic_model)
file_handle.write(
str(counter) + "," + str(model.Susceptible) + "," +
str(model.Infectious) + "," + str(model.Recovered) + "," +
str(model.Vaccinated) + "\n")
file_handle.close()
counter += 1
model.update_plots()
epidemic_model = Model("Epidemimodel", 100, 100)
epidemic_model.add_button("Setup", model_setup)
epidemic_model.add_button("Go", model_step, toggle=True)
epidemic_model.line_chart(
["Susceptible", "Infectious", "Recovered", "Vaccinated"],
[(0, 200, 0), (200, 0, 0), (0, 0, 200), (100, 100, 200)])
epidemic_model.bar_chart(
["Susceptible", "Infectious", "Recovered", "Vaccinated"], (200, 200, 200))
epidemic_model.add_checkbox("enable_groups")
epidemic_model.add_checkbox("Vaccine_exponential")
epidemic_model.add_controller_row()
epidemic_model.add_slider("Social_distance", 50, 0, 80)
epidemic_model.add_controller_row()
epidemic_model.add_slider("Infection_distance", 15, 0, 40)
epidemic_model.add_controller_row()
epidemic_model.add_slider("Vaccine_rate", 0.2, 0.1, 1.0)
run(epidemic_model)