def checkLife(self):
""" Check if the human dies because of malaria """
# If the infection is deadly, check if it's time to die already
if self.fatalInfection == True and decisionLogarithmic((self.infectedOn/
float(self.config['death-delay']))):
self.mother(4)
return True
# If access to good medicine, cure is short. Check if cured already
elif self.medicine == True and decisionLogarithmic((self.infectedOn /
float(self.config['cure-medicine']))):
self.infectedOn = 0
self.status = 0
self.mother(3)
self.checkImmune()
# If no access to good medicine, check if cured
elif decisionLogarithmic((self.infectedOn/float(self.config['cure']))):
self.infectedOn = 0
self.status = 0
self.mother(3)
self.checkImmune()
# Increase the time already infected
else:
self.infectedOn += 1
def step(self, maxX, maxY, t):
""" Move the mosquito to a new place. Return tuple. """
# If still an egg
if self.egg == True:
# Check if a new mosquito must be born
if self.age > 5 and decisionLogarithmic(self.config['mosq-egg-time']/self.age) == True:
self.age = 1
self.egg = False
else:
self.age += 1
return (self.x, self.y)
else:
# If already moved this T, stay in this cell
if self.t >= t:
return (self.x, self.y)
else:
# find new location if it is the previous block
while (self.prevX == self.x and self.prevY == self.y):
# move horizontal if staysbetween borders
if np.random.randint(2) == 0:
newX = self.x + np.random.randint(-1,2)
if 0 <= newX < maxX:
self.x = newX
else:
# move veritcal if it stays between borders
newY = self.y + np.random.randint(-1,2)
if 0 <= newY < maxY:
self.y = newY
#print "previous xy:",self.prevX , ",", self.prevY, " new:",self.x,",",self.y
# safe previous direction
self.prevX = self.x
self.prevY = self.y
self.t = t
self.age += 1
# return tuple of new location
return (self.x, self.y)
def checkDeath(self,maxAge):
# If mosquito dies False
if decisionLogarithmic(self.age / float(maxAge)):
return True
return False