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process.py
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process.py
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import random as rn
import math
from states import States
class Process:
def __init__(self, generateFunc, Yesterday):
self.df = generateFunc[0]
self.stateOfDay = generateFunc[1]
self.MoversList = generateFunc[2]
self.YesterdayPatients = Yesterday
s = States()
self.deathRate = s.returnConfig("Rates", "deathRate", float)
self.daysFromLimbo = s.returnConfig(
"Days", "daysUntilLimboDieDuetoLackOfBeds", int)
self.numberOfBeds = s.returnConfig(
"SampleDefaults", "numberOfBeds", int)
self.deathsLackBed = s.returnConfig(
"Rates", "deathsDueToLackOfBeds", float)
self.hospitalRate = s.returnConfig(
"Rates", "hospitalizationRate", float)
self.hospitalRateICU = s.returnConfig(
"Rates", "deathRateForICU", float)
self.dayUntilCuredCovid = s.returnConfig(
"Days", "dayUnitlCuredIfPositive", int)
self.daysUnitlCuredHos = s.returnConfig(
"Days", "dayUnitlCuredIfInHospital", int)
self.xlimit = s.returnConfig("SampleDefaults", "xlimit", int)
self.ylimit = s.returnConfig("SampleDefaults", "ylimit", int)
self.distanceLimit = s.returnConfig("SampleDefaults", "distance", float)
def kill(self, day):
samplesize = math.floor(len(
self.df[self.df['State'] == 1]) * self.deathRate + len(self.df[self.df['State'] == 2]) * self.hospitalRateICU)
if samplesize > len(self.df[self.df['State'] == 1]):
return
self.df.loc[self.df[self.df['State'] ==
1].sample(n=int(samplesize)).index.values.tolist(), 'State'] = 3
self.df.loc[(self.df['Day'] < day - self.daysFromLimbo)
& (self.df['State'] == 5), 'State'] = 3
return
def hospitilize(self, day):
samplesize = math.floor(
len(self.df[self.df['State'] == 1]) * self.hospitalRate)
if samplesize > len(self.df[self.df['State'] == 1]):
return
self.df.loc[self.df[self.df['State'] ==
1].sample(n=int(samplesize)).index.values.tolist(), 'State'] = 2
return
def cure(self, day):
self.df.loc[(self.df['Day'] < day - self.dayUntilCuredCovid) & (self.df['State'] == 1), 'State'] = 6
self.df.loc[(self.df['Day'] < day - self.daysUnitlCuredHos) & (self.df['State'] == 2), 'State'] = 4
return