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perf: Use Python builtin random.random to generate Poisson samples #37

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merged 1 commit into from
Jul 28, 2022
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perf: Use Python builtin random.random to generate Poisson samples #37

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16 changes: 14 additions & 2 deletions covidmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
# {nunezco,jake}@illinois.edu

# A simple tunable model for COVID-19 response
import math
from operator import mod
from sqlite3 import DatabaseError
import timeit
Expand Down Expand Up @@ -37,6 +38,17 @@ def bernoulli_rvs(p):
return 0


def poisson_rvs(mu):
p0 = math.exp(-mu)
F = p0
i = 0
sample = random.random()
while sample >= F:
i += 1
F += p0 * (mu ** i) / math.factorial(i)
return i


class Stage(Enum):
SUSCEPTIBLE = 1
EXPOSED = 2
Expand Down Expand Up @@ -732,7 +744,7 @@ def move(self):
new_position = self.random.choice(possible_steps)

self.model.grid.move_agent(self, new_position)
self.agent_data.curr_dwelling = poisson.rvs(self.model.model_data.avg_dwell)
self.agent_data.curr_dwelling = poisson_rvs(self.model.model_data.avg_dwell)


########################################
Expand Down Expand Up @@ -1560,7 +1572,7 @@ def step(self):
arange = 0

while not(in_range):
arange = poisson.rvs(self.model_data.new_agent_age_mean)
arange = poisson_rvs(self.model_data.new_agent_age_mean)
if arange in range(0, 9):
in_range = True

Expand Down