import * from 'tree'
import * from 'model'


'''
	This should return an initial-guess tree built from distance matrix methods
'''
def initialize_tree():
	return 0


'''
	This should take a given model and calculate it's probability
'''
def calculate_probability(model):
	return 0


'''
	This should perform one step of the metropolis algorithm
'''
def metropolis_step():
	return 0

'''
	This should calculate metropolis steps for some amount of time and then return the "highest" model
'''
def metropolis():
	return 0