def test_plot_summary(self):
# tes data
test_dir = "./analyzer_test_data/arabas_et_al-f1/seed_0/pop_100/"
test_data_1 = "0.8-0.8.zip"
test_1_fp = os.path.join(test_dir, test_data_1)
test_data_2 = "0.8-0.7.zip"
test_2_fp = os.path.join(test_dir, test_data_2)
# summarize data
test_data_1 = analyzer.summarize_data(test_1_fp)
test_data_2 = analyzer.summarize_data(test_2_fp)
data = [test_data_1, test_data_2]
labels = [
"c_prob = 0.8, mut_prob = 0.8", "c_prob = 0.8, mut_prob = 0.7"
]
analyzer.plot_summary(data, labels)
def test_plot_summary(self):
# tes data
test_dir = "./analyzer_test_data/arabas_et_al-f1/seed_0/pop_100/"
test_data_1 = "0.8-0.8.zip"
test_1_fp = os.path.join(test_dir, test_data_1)
test_data_2 = "0.8-0.7.zip"
test_2_fp = os.path.join(test_dir, test_data_2)
# summarize data
test_data_1 = analyzer.summarize_data(test_1_fp)
test_data_2 = analyzer.summarize_data(test_2_fp)
data = [test_data_1, test_data_2]
labels = [
"c_prob = 0.8, mut_prob = 0.8",
"c_prob = 0.8, mut_prob = 0.7"
]
analyzer.plot_summary(data, labels)
def test_summarize_data_min_level(self):
# pass test
result = analyzer.summarize_data(data_file)
# import pprint
# pprint.pprint(result)
self.assertIsNotNone(result)
self.assertTrue(len(result["population"]["generation"]), 11)
self.assertTrue(len(result["population"]["best_score"]), 11)
self.assertTrue(len(result["population"]["best_individual"]), 11)
self.assertTrue(len(result["crossover"]["crossovers"]), 11)
self.assertTrue(len(result["crossover"]["no_crossovers"]), 11)
self.assertTrue(len(result["mutation"]["mutations"]), 11)
self.assertTrue(len(result["mutation"]["no_mutations"]), 11)
def test_summarize_data_min_level(self):
# pass test
result = analyzer.summarize_data(data_file)
# import pprint
# pprint.pprint(result)
self.assertIsNotNone(result)
self.assertTrue(len(result["population"]["generation"]), 11)
self.assertTrue(len(result["population"]["best_score"]), 11)
self.assertTrue(len(result["population"]["best_individual"]), 11)
self.assertTrue(len(result["crossover"]["crossovers"]), 11)
self.assertTrue(len(result["crossover"]["no_crossovers"]), 11)
self.assertTrue(len(result["mutation"]["mutations"]), 11)
self.assertTrue(len(result["mutation"]["no_mutations"]), 11)
def test_summarize_data_max_level(self):
# test data
test_dir = "./analyzer_test_data/arabas_et_al-f1/seed_0/pop_100/"
test_data = "0.8-0.8.zip"
test_fp = os.path.join(test_dir, test_data)
test_fp = os.path.normpath(test_fp)
# summarize data
result = analyzer.summarize_data(test_fp)
# import pprint
# pprint.pprint(result)
# self.assertIsNotNone(result)
self.assertTrue(len(result["population"]["generation"]), 14)
self.assertTrue(len(result["population"]["best_score"]), 14)
self.assertTrue(len(result["population"]["best_individual"]), 14)
self.assertTrue(len(result["crossover"]["crossovers"]), 14)
self.assertTrue(len(result["crossover"]["no_crossovers"]), 14)
self.assertTrue(len(result["mutation"]["mutations"]), 14)
self.assertTrue(len(result["mutation"]["no_mutations"]), 14)
def test_summarize_data_max_level(self):
# test data
test_dir = "./analyzer_test_data/arabas_et_al-f1/seed_0/pop_100/"
test_data = "0.8-0.8.zip"
test_fp = os.path.join(test_dir, test_data)
test_fp = os.path.normpath(test_fp)
# summarize data
result = analyzer.summarize_data(test_fp)
# import pprint
# pprint.pprint(result)
# self.assertIsNotNone(result)
self.assertTrue(len(result["population"]["generation"]), 14)
self.assertTrue(len(result["population"]["best_score"]), 14)
self.assertTrue(len(result["population"]["best_individual"]), 14)
self.assertTrue(len(result["crossover"]["crossovers"]), 14)
self.assertTrue(len(result["crossover"]["no_crossovers"]), 14)
self.assertTrue(len(result["mutation"]["mutations"]), 14)
self.assertTrue(len(result["mutation"]["no_mutations"]), 14)