From 8a7eb62af41241c4e0f13bf8a8f384d51b46d92e Mon Sep 17 00:00:00 2001 From: Chris Bras Date: Thu, 7 Mar 2019 19:19:46 +0100 Subject: [PATCH] malaria is nu dodelijk --- malaria.py | 65 ++++++++++++++++++++++++++++++++++++++---------------- 1 file changed, 46 insertions(+), 19 deletions(-) diff --git a/malaria.py b/malaria.py index d773c84..5689753 100644 --- a/malaria.py +++ b/malaria.py @@ -9,41 +9,75 @@ class Model: def __init__(self, width=32, height=32, humandens=0.15, mosquitodens=0.10, immunepct=0.1, mosqinfpct=0.1, hm_infpct=0.5, mh_infpct=0.5, hinfdiepct=0.01, mhungrypct=0.1, humandiepct=10**-6, - mosqdiepct=10**-3, mosqnetdens=0.05, time_steps=500): + mosqdiepct=10**-3, mosqnetdens=0.05, time_steps=2000): + + plt.ion() self.width = width self.height = height + # The percentage of tiles that start as humans self.humandens = humandens + # The percentage of tiles that contain mosquitos self.mosquitodens = mosquitodens + # Percentage of humans that are immune self.immunepct = immunepct + # Chance for a mosquito to be infected self.mosqinfpct = mosqinfpct + # Chance for a human to be infected by a mosquito bite self.hm_infpct = hm_infpct + # Chance for a mosquito to be infected from biting an infected human self.mh_infpct = mh_infpct + # Chance that an infected human dies self.hinfdiepct = hinfdiepct + # Chance for a mosquito to be hungry self.mhungrypct = mhungrypct + # Chance for human to die from random causes self.humandiepct = humandiepct + # Chance for a mosquito to die self.mosqdiepct = mosqdiepct + # Percentage of tiles that contain mosquito nets self.mosqnetdens = mosqnetdens - + # The number of timesteps to run te simulation for self.time_steps = time_steps self.humans = self.gen_humans() self.mosquitos = self.gen_mosquitos() + self.init_draw() + + def init_draw(self): + self.colors = matplotlib.colors.ListedColormap( + ["black", "green", "red", "yellow"]) + bounds = [Human.DEAD, Human.HEALTHY, Human.INFECTED, Human.IMMUNE] + self.norm = matplotlib.colors.BoundaryNorm(bounds, self.colors.N) def recycle_human(self): # Get all living humans - humans = np.transpose(np.where(self.grid != Human.DEAD)) + humans = np.transpose(np.where(self.humans != Human.DEAD)) # Get a mask of humans to kill deaths = np.random.rand(len(humans)) < self.humandiepct # Kill them. - self.grid[humans[deaths][:, 0], humans[deaths][:, 1]] = Human.DEAD + self.humans[humans[deaths][:, 0], humans[deaths][:, 1]] = Human.DEAD # Pick a random, unpopulated spot - x, y = random.choice(np.transpose(np.where(self.grid == Human.DEAD)), + x, y = random.choice(np.transpose(np.where(self.humans == Human.DEAD)), size=np.count_nonzero(deaths)) + + def do_malaria(self): + """ + This function determines who of the infected dies from their illness + """ + # Get all infected humans + infected = np.transpose(np.where(self.humans == Human.INFECTED)) + + # Decide which infected people die + deaths = np.random.rand(len(infected)) < self.hinfdiepct + + # Now let's kill them + self.humans[infected[deaths][:, 0], infected[deaths][:, 1]] = Human.DEAD + def gen_humans(self): # Calculate the probabilities p_dead = 1 - self.humandens @@ -59,22 +93,17 @@ class Model: count = self.width * self.height * self.mosquitodens def run(self): - for _ in range(self.time_steps): + for t in range(self.time_steps): self.step() - self.draw() + self.draw(t) def step(self): - # dingen - pass + self.do_malaria() - def draw(self): + def draw(self, t): # this function draws the humans - colors = matplotlib.colors.ListedColormap( - ["black", "green", "red", "yellow"]) - bounds = [Human.DEAD, Human.HEALTHY, Human.INFECTED, Human.IMMUNE] - norm = matplotlib.colors.BoundaryNorm(bounds, colors.N) - - plt.imshow(self.humans, cmap=colors, norm=norm) + plt.title("t={}".format(t)) + plt.imshow(self.humans, cmap=self.colors, norm=self.norm) plt.pause(0.0001) plt.clf() @@ -97,8 +126,6 @@ class Human(IntEnum): if __name__ == "__main__": - plt.ion() model = Model() - while True: - model.draw() + model.run()