def setUp(self):
log.basicConfig(level=log.DEBUG,
format='%(asctime)s %(levelname)s: %(message)s')
self.tf = tempfile.NamedTemporaryFile(dir="/tmp", delete=False)
self.tf.write("""
{
"REPLICATIONS_PER_PARAM_SET" : 5,
"POPULATION_SIZES_STUDIED" : [500,1000],
"NUMBER_OF_DIMENSIONS_OR_FEATURES" : [1,2,4,8,16],
"NUMBER_OF_TRAITS_PER_DIMENSION" : [2,3,4,6,8,12,16,32]
}
""")
self.tf.flush()
config = utils.AxelrodConfiguration(self.tf.name)
self.config = config
config.popsize = 25
config.num_features = 4
config.num_traits = 4
graph_factory = pop.SquareLatticeFactory(config)
trait_factory = traits.AxelrodTraitFactory(config)
self.pop = pop.FixedTraitStructurePopulation(config, graph_factory,
trait_factory)
self.pop.initialize_population()
def setUp(self):
log.basicConfig(level=log.DEBUG,
format='%(asctime)s %(levelname)s: %(message)s')
self.tf = tempfile.NamedTemporaryFile(dir="/tmp", delete=False)
self.tf.write("""
{
"REPLICATIONS_PER_PARAM_SET" : 10,
"POPULATION_SIZES_STUDIED" : [64,100],
"TRAIT_ADDITION_RATE" : [0.01, 0.05, 0.1, 0.25],
"MAXIMUM_INITIAL_TRAITS" : [4,8,16,32],
"POPULATION_STRUCTURE_CLASS" : "madsenlab.axelrod.population.ExtensibleTraitStructurePopulation",
"INTERACTION_RULE_CLASS" : "madsenlab.axelrod.rules.AxelrodRule",
"NETWORK_FACTORY_CLASS" : "madsenlab.axelrod.population.SquareLatticeFactory"
}
""")
self.tf.flush()
config = utils.AxelrodExtensibleConfiguration(self.tf.name)
config.popsize = 25
config.maxtraits = 16
config.add_rate = 0.1
config.max_trait_value = 100
graph_factory = pop.SquareLatticeFactory(config)
trait_factory = traits.ExtensibleTraitFactory(config)
self.pop = pop.ExtensibleTraitStructurePopulation(
config, graph_factory, trait_factory)
self.pop.initialize_population()
def test_mult_tree_population(self):
self.config.depth_factor = 3
self.config.branching_factor = 3
self.config.num_trees = 8
self.config.maxtraits = 6
self.config.popsize = 25
trait_factory = traits.MultipleBalancedTreeStructuredTraitFactory(
self.config)
graph_factory = pop.SquareLatticeFactory(self.config)
self.pop = pop.TreeTraitStructurePopulation(self.config, graph_factory,
trait_factory)
self.pop.initialize_population()
log.info("pop: %s", pp.pformat(self.pop, indent=1, width=80))