########Demonstration of NL4Py#################
#This example demonstrates NetLogo Application Control with GUI through NL4Py
#example usage: python Example3_NetLogoGUIAppControl.py netlogo_home
###############################################
print(
"\n\n------------ This is a Demonstration of NL4PY --------------------\n")
import nl4py
import sys
print("\n1) Starting the NetLogoControllerServer with: nl4py.startServer()\n")
nl4py.startServer(sys.argv[1])
print('\n2) Starting the model runs... ')
model = "./Fire.nlogo"
print('\n2.1) Starting the NetLogo Application with: n = nl4py.NetLogoApp()')
n = nl4py.NetLogoApp()
print('\n2.2) Opening the model at ' + model +
' on the NetLogo application with: n.openModel("model")')
n.openModel(model)
print(
"\n2.3) Setting the parameters for the model to random values with: n.setParamsRandom()"
)
n.setParamsRandom()
print(
import nl4py
import sys
import pandas
import numpy
print("\n1) Starting the NetLogoControllerServer with: nl4py.startServer()\n")
netlogo_home = "C://Program Files//NetLogo 6.0.2//"
nl4py.startServer(netlogo_home)
print('\n2) Starting the model runs... ')
model = "C://Users//Mateen Qureshi//Documents//CSCI378//AFM Initial Migration.nlogo"
n = None
print(
'\n Creating ' + str(n) +
' NetLogo HeadlessWorkspaces with: workspace = nl4py.newNetLogoHeadlessWorkspace()\n and clearing any old workspaces with nl4py.deleteAllHeadlessWorkspaces()'
)
print(
'\n Opening the ' + model +
' model on the NetLogo HeadlessWorkspace with: workspace.openModel("model")'
)
nl4py.deleteAllHeadlessWorkspaces()
workspace = nl4py.newNetLogoHeadlessWorkspace()
workspace.openModel(model)
print(
"\n Setting the parameters to random values with workspace.setParamsRandom()"
)
def startServer(self):
nl4py.startServer(
'E:\Juan\Programs') # top level directory of your NetLogo installation
########Demonstration of NL4Py#################
#This example schedules reporters for 100 ticks or until stop
# for the Wolf Sheep Predation Sample Model
#example usage: python Example2_ScheduledReporters.py
###############################################
print(
"\n\n------------ This is a Demonstration of NL4PY --------------------\n")
import nl4py
print("\n1) Starting the NetLogoControllerServer with: nl4py.startServer()\n")
nl4py.startServer()
import sys
print('\n2) Starting the model runs... ')
n = 1
model = "./Wolf Sheep Predation.nlogo"
print(
'\n2.1) Creating ' + str(n) +
' NetLogo HeadlessWorkspaces with: nl4py.netlogoWorkspaceFactory.newNetLogoHeadlessWorkspace()\n and clearing any old workspaces with nl4py.netlogoWorkspaceFactory.deleteAllExistingWorkspaces()'
)
print(
'\n2.2) Opening the ' + model +
' model on the NetLogo HeadlessWorkspace with: nl4py.NetLogoHeadlessWorkspace.openModel("model")'
)
import nl4py, math
import numpy as np
nl4py.startServer("D:/Softwares/NetLogo 6.1.0")
nl = nl4py.NetLogoApp()
nl.openModel("D:/Nikhil/Projects/python_netlogo/Template.nlogo")
nl.command('set-patch-size 2.8')
N = 8
vMax = 2 # m/s
delT = 0.1 # seconds
maxSepTurn = 10
maxAvoidTurn = 10
maxAlignTurn = 20
minSepDist = 5
flockVision = 20
flockAngle = 25
def spawn(Nuavs):
nl.command('clear-all')
for i in range(Nuavs):
nl.command(
'crt 1[setxy {0} {1} set heading {2} set size 8] ask turtles [set label who]'
.format(uav_pos[i][0], uav_pos[i][1], float(uav_head[i])))
def relheading(headb, heada):
"""relative heading of b with respect to a"""
delH = headb - heada
if abs(delH) >= 180:
import nl4py
nl4py.startServer('C:/Program Files/NetLogo 6.1.1')
n = nl4py.newNetLogoHeadlessWorkspace()
# open the meta-ABM
n.openModel('COVID-19_Main.nlogo')
# select Massachusetts
region = 'MA'
n.command('set Region "{}"'.format(region))
#### Parameters ####
# a value between 0 and 1 for the moment, which basically removes that fraction of agents from the local ABMs
isolation_intensity = 0.5
# delay with which isolation is to take place after the first infected individuals are released
isolation_start = 20
n.command('set isolate-at-intensity {}'.format(isolation_intensity))
n.command('set tick-to-begin-isolation {}'.format(isolation_start))
n.command('setup') # local ABMs are initialized, with the typical number of visitors
#### Objectives ####
measurements = []
# measure the contagion
measurements.append('mean [ count people with [covid-19-symptomatic]] ls:of ls:models')
# measure the economic impact
measurements.append('mean [current-economic-performance] of turtles')