def generator(num_exp, sky, read, sig):
#############################################
# Generator of Signal and Noise Distributions
# Parameters:
# num_exp = Number of exposures taken
# sky = photon rate of the sky-background
# read = photon rate of the read noise
# sig = photon rate of the signal
#############################################
num_meas = 1
# Calculate the total noise and signal rates
tot_rate = sky + sig + read * num_exp
tot_noise_rate = sky + read * num_exp
noise_array = []
signal_array = []
#Initialize random class
R = Random()
#Get the samples for the different distributions
noise = R.Poisson(lam=tot_noise_rate, size=(num_meas, num_exp))
signal = R.Poisson(lam=tot_rate, size=(num_meas, num_exp))
return (signal, noise)
