blob: c2b9f317d95104aa21bb37989b5279749edeb19a [file] [log] [blame]
Javi Merino67958b12014-04-10 16:22:13 +01001#!/usr/bin/python
2
3import os, sys
Javi Merinoda493aa2014-07-10 15:47:12 +01004import shutil
Javi Merino67958b12014-04-10 16:22:13 +01005import tempfile
Javi Merino39452692014-06-21 19:01:13 +01006import matplotlib
Javi Merinob78ff492014-04-14 15:22:12 +01007import pandas as pd
Javi Merino67958b12014-04-10 16:22:13 +01008
9import utils_tests
10sys.path.append(os.path.join(utils_tests.TESTS_DIRECTORY, "..", "cr2"))
11import results
12
13class TestResults(utils_tests.SetupDirectory):
14 def __init__(self, *args, **kwargs):
15 super(TestResults, self).__init__(
Javi Merinoda493aa2014-07-10 15:47:12 +010016 ["results.csv", "new_antutu_results.csv"],
Javi Merino67958b12014-04-10 16:22:13 +010017 *args, **kwargs)
18
19 def test_get_results(self):
20 results_frame = results.get_results()
21
22 self.assertEquals(type(results_frame), results.CR2)
Javi Merino187ca0f2014-10-24 15:15:57 +010023 self.assertEquals(type(results_frame.columns), pd.core.index.MultiIndex)
24 self.assertEquals(results_frame["antutu"]["power_allocator"][0], 5)
25 self.assertEquals(results_frame["antutu"]["step_wise"][1], 9)
26 self.assertEquals(results_frame["antutu"]["step_wise"][2], 7)
27 self.assertEquals(results_frame["t-rex_offscreen"]["power_allocator"][0], 1777)
28 self.assertEquals(results_frame["geekbench"]["step_wise"][0], 8)
29 self.assertEquals(results_frame["geekbench"]["power_allocator"][1], 1)
Javi Merinoc95712b2014-10-24 17:07:38 +010030 self.assertAlmostEquals(results_frame["thechase"]["step_wise"][0], 242.0522258138)
Javi Merino67958b12014-04-10 16:22:13 +010031
32 def test_get_results_path(self):
33 """results.get_results() can be given a directory for the results.csv"""
34
35 other_random_dir = tempfile.mkdtemp()
36 os.chdir(other_random_dir)
37
38 results_frame = results.get_results(self.out_dir)
39
Javi Merinoc95712b2014-10-24 17:07:38 +010040 self.assertEquals(len(results_frame.columns), 10)
Javi Merinoda493aa2014-07-10 15:47:12 +010041
Javi Merino977ac372014-10-25 12:02:37 +010042 def test_get_results_id(self):
43 """get_results() optional id argument overrides the one in the results file"""
44 res = results.get_results(id="malkovich")
45 self.assertIsNotNone(res["antutu"]["malkovich"])
46
Javi Merino67958b12014-04-10 16:22:13 +010047 def test_combine_results(self):
48 res1 = results.get_results()
49 res2 = results.get_results()
50
Javi Merino187ca0f2014-10-24 15:15:57 +010051 # First split them
52 res1.drop('step_wise', axis=1, level=1, inplace=True)
53 res2.drop('power_allocator', axis=1, level=1, inplace=True)
54
55 # Now combine them again
56 combined = results.combine_results([res1, res2])
Javi Merino67958b12014-04-10 16:22:13 +010057
58 self.assertEquals(type(combined), results.CR2)
Javi Merino187ca0f2014-10-24 15:15:57 +010059 self.assertEquals(combined["antutu"]["step_wise"][0], 4)
60 self.assertEquals(combined["antutu"]["power_allocator"][0], 5)
61 self.assertEquals(combined["geekbench"]["power_allocator"][1], 1)
62 self.assertEquals(combined["t-rex_offscreen"]["step_wise"][2], 424)
Javi Merino67958b12014-04-10 16:22:13 +010063
64 def test_plot_results_benchmark(self):
65 """Test CR2.plot_results_benchmark()
66
67 Can't test it, so just check that it doens't bomb
68 """
Javi Merino67958b12014-04-10 16:22:13 +010069
Javi Merino187ca0f2014-10-24 15:15:57 +010070 res = results.get_results()
Javi Merinob78ff492014-04-14 15:22:12 +010071
Javi Merino187ca0f2014-10-24 15:15:57 +010072 res.plot_results_benchmark("antutu")
73 res.plot_results_benchmark("t-rex_offscreen", title="Glbench TRex")
Javi Merinob78ff492014-04-14 15:22:12 +010074
Javi Merino39452692014-06-21 19:01:13 +010075 (_, _, y_min, y_max) = matplotlib.pyplot.axis()
Javi Merinob78ff492014-04-14 15:22:12 +010076
Javi Merino187ca0f2014-10-24 15:15:57 +010077 trex_data = pd.concat(res["t-rex_offscreen"][s] for s in res["t-rex_offscreen"])
78 data_min = min(trex_data)
79 data_max = max(trex_data)
Javi Merinob78ff492014-04-14 15:22:12 +010080
81 # Fail if the axes are within the limits of the data.
82 self.assertTrue(data_min > y_min)
83 self.assertTrue(data_max < y_max)
Javi Merino39452692014-06-21 19:01:13 +010084 matplotlib.pyplot.close('all')
Javi Merino67958b12014-04-10 16:22:13 +010085
86 def test_get_run_number(self):
87 self.assertEquals(results.get_run_number("score_2"), (True, 2))
88 self.assertEquals(results.get_run_number("score"), (True, 0))
89 self.assertEquals(results.get_run_number("score 3"), (True, 3))
90 self.assertEquals(results.get_run_number("FPS_1"), (True, 1))
Javi Merinodd5139d2014-10-24 10:20:39 +010091 self.assertEquals(results.get_run_number("Overall_Score"), (True, 0))
92 self.assertEquals(results.get_run_number("Overall_Score_2"), (True, 1))
Javi Merino67958b12014-04-10 16:22:13 +010093 self.assertEquals(results.get_run_number("Memory_score")[0], False)
94
95 def test_plot_results(self):
96 """Test CR2.plot_results()
97
98 Can't test it, so just check that it doens't bomb
99 """
100
Javi Merino187ca0f2014-10-24 15:15:57 +0100101 res = results.get_results()
Javi Merino67958b12014-04-10 16:22:13 +0100102
Javi Merino187ca0f2014-10-24 15:15:57 +0100103 res.plot_results()
Javi Merino39452692014-06-21 19:01:13 +0100104 matplotlib.pyplot.close('all')
Javi Merinob78ff492014-04-14 15:22:12 +0100105
106 def test_init_fig(self):
107 r1 = results.get_results()
108 r1.init_fig()