import numpy as np

import numexpr as ne

import time

import sys

import agents

import correlations

import orderParameterStatistics

import plottingFunctions

from pylab import *

#############################################################################################

### Adjustable range model: ###

### Collective motion model in 2d, with periodic boundary conditions. ###

### Each agent co-aligns with agents in its interacting group ###

### The interacting groups is an ordered list containing n members ###

### each at successive distances from the agent. ###

### With the closest member at a topological distance alpha. ###

### ###

### Here: n = numNayHigh - numNayLow ###

### alpha = numNayLow ###

### ###

### Arthur King 9/9/19 ###

#############################################################################################

def main(N, T, dt, numNayLow, numNayHigh, L, eta, speed, numBins, burnInTime,saveCorrEvery,calculateCorrelations, showAnimation, resultsFolder):

return meanOrderParameter

if __name__ == "__main__":

import cmdLineParsingAdjmodel

parser = cmdLineParsingAdjmodel.createParser()

args = parser.parse_args()

main(N=args.N, T=args.T, dt=args.dt, numNayLow=args.numNayLow, numNayHigh = args.numNayHigh, L=args.L, eta=args.eta, speed=args.speed, numBins=args.numBins, burnInTime=args.burnInTime, saveCorrEvery=args.saveCorrEvery, calculateCorrelations=args.calculateCorrelations, showAnimation=args.showAnimation, resultsFolder=args.resultsFolder)