def test_evaluate(self):
population = self.generator.init()
results = []
start_time = time.time()
evaluator.evaluate(population.individuals, self.functions, self.config,
results)
end_time = time.time()
print("GP run took: %2.2fsecs\n" % (end_time - start_time))
population.individuals = results
# assert
for individual in population.individuals:
self.assertTrue(individual.score is not None)
self.assertTrue(individual.score > 0)
def test_evaluate(self):
population = self.generator.init()
results = []
start_time = time.time()
evaluator.evaluate(
population.individuals,
self.functions,
self.config,
results
)
end_time = time.time()
print("GP run took: %2.2fsecs\n" % (end_time - start_time))
population.individuals = results
# assert
for individual in population.individuals:
self.assertTrue(individual.score is not None)
self.assertTrue(individual.score > 0)
config,
results
)
end_time = time.time()
time_taken = end_time - start_time
print "Evaluator 1 took:", str(round(time_taken, 2)) + "s"
# TREE EVALUTOR 2
functions = {
"ADD": "+",
"SUB": "-",
"MUL": "*",
"DIV": "/",
"POW": "**",
"SIN": "math.sin",
"COS": "math.cos",
"RAD": "math.radians",
"LN": "math.ln",
"LOG": "math.log"
}
start_time = time.time()
tree_eval_2.evaluate(
copy.deepcopy(population.individuals),
functions,
config,
results
)
end_time = time.time()
time_taken = end_time - start_time
print "Evaluator 2 took:", str(round(time_taken, 2)) + "s"
