本文整理汇总了Python中Population.Population.clearOutgroupConnects方法的典型用法代码示例。如果您正苦于以下问题：Python Population.clearOutgroupConnects方法的具体用法？Python Population.clearOutgroupConnects怎么用？Python Population.clearOutgroupConnects使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Population.Population的用法示例。
在下文中一共展示了Population.clearOutgroupConnects方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from Population import Population [as 别名]
# 或者: from Population.Population import clearOutgroupConnects [as 别名]
#.........这里部分代码省略.........
# Create initial Population
self.newPop.setPop()
# Select 1 random member of the population to be infected with disease
randInfect = random.randint(0, len(self.newPop.agents.vs))
self.newPop.agents.vs[randInfect]["Agent"].setDisease(self.newDisease)
# Log the starting population values
self.newPop.logStart()
self.newPop.createGraph(0)
self.runVals = [(self.popSize), len(self.newPop.agents.es), self.meanPosVal, self.meanAvoidVal,
self.newDisease.getSickValue(), self.newDisease.getSickTime(),
self.newDisease.getTransRate(), self.immuneProb]
timeLogFirstRow = ["Time", "PopSize", "NumSick", "NumImmune", "New Disease Transmissions", "Effective R0", "NumInteractions"]
self.timeLog.append(timeLogFirstRow)
if self.logInteractions == True:
self.writeFirstIntLogRow()
timeLogStartRow = [0, self.newPop.getSize(), self.newPop.getInitialSick(),
self.newPop.getInitialImmune(), 0, 0, 0]
self.timeLog.append(timeLogStartRow)
self.startTime = time.time()
self.writeInitialPop()
def runSim(self):
# iterate through the following steps for the defined number of time periods
for i in range(1, self.numTimePeriods+1):
numInts = 0
# generate a new group of random outgroup connections each time period
self.newPop.clearOutgroupConnects()
self.newPop.addOutgroupConnects()
self.newPop.clearTransmissions()
newTransStack = [] # initialize stack of potential disease transmission interactions - necessary so that agents can only spread disease a maximum of one connection away during each time period
# iterate through the following steps for each connection (graph edge) in the population
for j in self.newPop.agents.es:
# print('Edge #' + str(j.index)) # debugging
# extract agents from the connection
vert1 = self.newPop.agents.vs[j.source]
vert2 = self.newPop.agents.vs[j.target]
agent1 = vert1["Agent"]
agent2 = vert2["Agent"]
newInt = Interaction(agent1, agent2)
intType = j["Relation"]
# check to see if either of the agents are dead
deadCheck = newInt.deadCheck()
# execute the following if both agents are alive
if not(deadCheck):
# print "Dead Check Passed" # debugging
newInt.setStartVals() # capture the starting health values for both agents
# print "Interaction start values set"
intPair = [vert1, vert2] # store the verticies to be passed to the gameResult() function
newResult = self.gameResult(intPair, self.meanPosVal, self.meanAvoidVal) # determine whether the pair of agents interacted or avoided
# print "Calculated interaction result" # debugging
# update the health values of the agents based on the result of the interaction
vert1["Agent"].updateValue(newResult[1])