Oct-18-2019, 09:45 AM
Hi,
I do not understand how to solve the following error which pops up when running this code: TypeError: __init__() missing 1 required positional argument: 'request'
The code:
I do not understand how to solve the following error which pops up when running this code: TypeError: __init__() missing 1 required positional argument: 'request'
The code:
import random
import simpy
import statistics
class DiagnosticsSimulator:
def __init__(self):
self.nr_patients = 0 # the number of patients that arrived
self.nr_patients_processed = 0 # the number of patients that was processed until completion
self.nr_ultrasounds = 0 # the number of patients that received an ultrasound
self.sojourn_time_per_patient = 0 # the average sojourn time per patient
self.sojourn_lst = [] # list storing all sojourn times
def patient(self, env, bed, receptionist, nurse, lab_assistant):
arrival_time = env.now
rr = receptionist.request()
yield rr # wait for receptionist to become available
wait_for_form = random.uniform(0.5, 1.5)
yield env.timeout(wait_for_form) # time it takes waiting for the form
receptionist.release()
fill_out_form = random.uniform(15, 25)
yield env.timeout(fill_out_form) # time it takes for filling out the form
rr = receptionist.request()
yield rr # wait for receptionist to become available
return_and_brief = random.uniform(2, 4)
yield env.timeout(return_and_brief) # time is takes to return form and receive briefing
receptionist.release()
br = bed.request()
yield br # wait for bed to become available
nr = nurse.request()
yield nr # wait for nurse to become available
preparation = random.uniform(2, 8)
yield env.timeout(preparation) # time it takes to get prepared
nurse.release()
lr = lab_assistant.request()
yield lr # wait for lab assistant to become available
take_blood = random.uniform(4, 6)
yield env.timeout(take_blood) # time it takes to take blood
lab_assistant.release()
if random.randint(0,100) < 30:
nr = nurse.request()
yield nr # wait for nurse to become available
ultrasound = random.uniform(7, 13)
yield env.timeout(ultrasound)
self.nr_ultrasounds += 1
nurse.release()
bed.release()
completion_time = env.now
self.nr_patients_processed += 1
sojourn_time_per_per_patient = completion_time - arrival_time # calculate the sojourntime
self.sojourn_lst.append(sojourn_time_per_per_patient)
self.sojourn_time_per_patient = statistics.mean(self.sojourn_lst)
def patient_generator(self, env, bed, receptionist, nurse, lab_assistant):
while True:
p = self.patient(env, bed, receptionist, nurse, lab_assistant) # create a new patient
env.process(p) # start the simulation of the patient
interarrivalTime = random.expovariate(1/6) # exponential interarrival
yield env.timeout(interarrivalTime) # wait for the sampled interarrival time
# seed: the random seed with which the simulator is initiated
# duration: the amount of simulation time for which the simulator has to run
def simulate(self, seed, duration):
random.seed(seed)
env = simpy.Environment()
bed = simpy.Resource(env, capacity = 12)
receptionist = simpy.Resource(env, capacity = 1)
nurse = simpy.Resource(env, capacity = 2)
lab_assistant = simpy.Resource(env, capacity = 1)
env.process(self.patient_generator(env, bed, receptionist, nurse, lab_assistant)) # start patient generation process
env.run(duration)
return env
diags = DiagnosticsSimulator()
env = diags.simulate(2019, 10000)
print(diags.nr_patients_processed, diags.sojourn_time_per_patient)