Esempio n. 1
0
    def run(self):
        '''run simulation'''

        i = 0
        
        while i < self.Config.simulation_steps:
            try:
                self.tstep()
            except KeyboardInterrupt:
                print('\nCTRL-C caught, exiting')
                sys.exit(1)

            #check whether to end if no infecious persons remain.
            #check if self.frame is above some threshold to prevent early breaking when simulation
            #starts initially with no infections.
            if self.Config.endif_no_infections and self.frame >= 500:
                if len(self.population[(self.population[:,6] == 1) | 
                                       (self.population[:,6] == 4)]) == 0:
                    i = self.Config.simulation_steps

        if self.Config.save_data:
            save_data(self.population, self.pop_tracker)

        #report outcomes
        print('\n-----stopping-----\n')
        print('total timesteps taken: %i' %self.frame)
        print('total dead: %i' %len(self.population[self.population[:,6] == 3]))
        print('total recovered: %i' %len(self.population[self.population[:,6] == 2]))
        print('total infected: %i' %len(self.population[self.population[:,6] == 1]))
        print('total infectious: %i' %len(self.population[(self.population[:,6] == 1) |
                                                          (self.population[:,6] == 4)]))
        print('total unaffected: %i' %len(self.population[self.population[:,6] == 0]))
Esempio n. 2
0
    def run(self):
        '''run simulation'''

        if self.Config.visualise:
            self.fig, self.spec, self.ax1, self.ax2, self.tight_bbox = build_fig(
                self.Config)

        i = 0

        while i < self.Config.simulation_steps:
            try:
                self.tstep()
            except KeyboardInterrupt:
                print('\nCTRL-C caught, exiting')
                sys.exit(1)

            #check whether to end if no infectious persons remain.
            #check if self.frame is above some threshold to prevent early breaking when simulation
            #starts initially with no infections.
            if self.Config.endif_no_infections and self.frame >= 300:
                if len(self.population[(self.population[:, 6] == 1) |
                                       (self.population[:, 6] == 4)]) == 0:
                    i = self.Config.simulation_steps
            else:
                i += 1

        if self.Config.plot_last_tstep:
            self.fig_sir, self.spec_sir, self.ax1_sir = build_fig_SIRonly(
                self.Config)
            draw_SIRonly(self.Config, self.population, self.pop_tracker,
                         self.frame, self.fig_sir, self.spec_sir, self.ax1_sir)

        if self.Config.save_data:
            save_data(self.population, self.pop_tracker)

        #report outcomes
        if self.Config.verbose:
            print('\n-----stopping-----\n')
            print('total timesteps taken: %i' % self.frame)
            print('total dead: %i' %
                  len(self.population[self.population[:, 6] == 3]))
            print('total recovered: %i' %
                  len(self.population[self.population[:, 6] == 2]))
            print('total infected: %i' %
                  len(self.population[self.population[:, 6] == 1]))
            print('total infectious: %i' %
                  len(self.population[(self.population[:, 6] == 1) |
                                      (self.population[:, 6] == 4)]))
            print('total unaffected: %i' %
                  len(self.population[self.population[:, 6] == 0]))
            print('mean distance travelled: %f' %
                  np.mean(self.pop_tracker.distance_travelled))
                infection_chance, speed, recovery_duration, mortality_chance,
                xbounds, ybounds, x_plot, y_plot, wander_range, risk_age,
                critical_age, critical_mortality_chance, risk_increase,
                no_treatment_factor, treatment_factor, healthcare_capacity,
                age_dependent_risk, treatment_dependent_risk, visualise,
                verbose, self_isolate, self_isolate_proportion,
                isolation_bounds, traveling_infects, lockdown,
                lockdown_percentage, lockdown_vector, plot_style)
            if len(population[population[:, 6] == 1]) == 0 and i > 100:
                print('\n-----stopping-----\n')
                print('total dead: %i' %
                      len(population[population[:, 6] == 3]))
                print('total immune: %i' %
                      len(population[population[:, 6] == 2]))
                if save_population:
                    save_data(population, infected_plot, fatalities_plot)
                i = simulation_steps + 1

            sys.stdout.write('\r')
            sys.stdout.write(
                '%i: healthy: %i, infected: %i, immune: %i, in treatment: %i, \
dead: %i, of total: %i' % (i, len(population[population[:, 6] == 0]),
                           len(population[population[:, 6] == 1]),
                           len(population[population[:, 6] == 2]),
                           len(population[population[:, 10] == 1]),
                           len(population[population[:, 6] == 3]), pop_size))

            i += 1

        print('\n-----stopping after all sick recovered or died-----\n')
        print('total dead: %i' % len(population[population[:, 6] == 3]))