Andrew Morrison drewsday

drewsday / simulate_classification_retirements.py

Created July 25, 2018 19:47

My attempt to simulate the retirement of images from a Zooniverse project given a retirement limit (variable = limit) and the number of subjects (variable = subjects).

	import numpy as np

	sim_trial = []
	num_sim_trials = 100
	for i in range(num_sim_trials):
	#initiate a dictionary of subject ids with counts all set to 0
	subjects = 3500
	subject_counts = {}
	for i in range(subjects):
	subject_counts[i] = 0

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drewsday / p_and_q.py

Created August 14, 2012 16:37

	# The user will enter the population size and the number of generations in our GUI
	popsize = int(self.ui.linePopsize.text())
	numgen = int(self.ui.lineGenerations.text())

	# initialize some arrays
	allele = ['P' , 'Q']
	i = 0
	gen0 = []
	listP = []
	listQ = []