def __init__(self, parent=None):
super(SimWidget, self).__init__(parent)
self.setupUi(self)
self.colorEarth = '#009900'
self.colorWater = '#27b6e9'
self.timer = QTimer()
self.time = 500
self.running = False
fig = plt.figure()
self.ax = fig.add_subplot(111)
self.is_plot = False
self.sim = Simulation()
self.prov = load_provinces()
self.countries = load_countries()
#region Buttons
self.worldMapBtn.clicked.connect(self.mapa_mundi)
self.cubaMapBtn.clicked.connect(self.mapa_cuba)
self.initialPopulationBtn.clicked.connect(
self.on_initial_population_clicked)
self.nextStepBtn.clicked.connect(self.on_next_step_clicked)
self.simBtn.clicked.connect(self.on_sim_clicked)
self.stopBtn.clicked.connect(self.on_stop_clicked)
#endregion
self.fill_header_table(self.tableWidget1)
self.fill_header_table(self.tableWidget2)
fill='black',
text=str(person.getName()),
font=("Purisa", 10))
def inoculatePeople(self):
self.master.after(2000, self.subInoculate)
def infectPeople(self):
self.time += 1
self.infectedListA, self.infectedListB = simulate.spreadInfection()
A, B = simulate.getDict()
self.master.after(1000, self.subInfect)
self.moveVirus(A, B)
simulate = Simulation()
simulate.secureStart()
clusterA = simulate.populationA.getClusters()
clusterB = simulate.populationB.getClusters()
populationA = simulate.populationA
populationB = simulate.populationB
targetA = simulate.Atargetlist
targetB = simulate.Btargetlist
infectListA = populationA.getLevelsOfInfection()
infectListB = populationB.getLevelsOfInfection()
root = gwaphics.Tk()
app = Application(root)
ButtonThing(root, app)
app.createCanvas()
app.graphSign()
mode = 1
start_x = -10
stop_x = 10
periodic_boundary_conditions = True
gif_name = "test"
time_start = 0
# time_stop = 2*np.pi
time_stop = 1
delta_t = 1e-2
gamma = np.array(
[-2 for i in range(int((time_stop - time_start) / delta_t + 1))])
sim = Simulation(x_start=start_x,
x_stop=stop_x,
number_of_psi=number_of_psi,
number_of_spatial_dimensions=number_of_spatial_dimensions,
nonlinear=True)
NLSE = problems.NLSE(gamma,
x_start=start_x,
x_stop=stop_x,
number_of_psi=number_of_psi,
periodic=True)
init_state = NLSE.get_stationary_state()
init_state = 0.7 * np.exp(-NLSE.linspace**2 / 2)
u = NLSE.get_u()
p = NLSE.get_P()
def shooting(x0):
# Variables (see Documentation for description)
view = True
# To turn on/off the use of SAP, go to Helpers/helpers.py and change the
# global variable "SAP_PHYSICS" (defined after the import statements) to True/False.
seed = "r@nd0M2"
robot_number = 1
maxsteps = 10000
debug = 0 # begin debugging AFTER this timestep. 0 turns off debugging, change to 1 to debug w/ PDB
comment = seed
# seeding the simulation: turn this on to remove randomness in brain (for debugging)
# behavior between runs will be identical.
random.seed(seed)
# Run the Simulation, input is the random seed
Sim = Simulation()
Sim.start(view, robot_number)
# wrapped in a try/except block to catch errors and immediately begin
# pdb at exception's location
try:
Sim.run_simulation(view, maxsteps, debug, comment)
except:
_, _, tb = sys.exc_info()
traceback.print_exc()
pdb.post_mortem(tb)
# Display the simulation
Sim.run_visualization()
#SAP 2000 templates.sdb
