cosmetic(tests/test_data.py): Appease flake8 and black style

redhat-performance · Oct 4, 2023 · 63f9499 · 63f9499
1 parent 3bcaea3
commit 63f9499
Showing 1 changed file with 30 additions and 23 deletions.
diff --git a/tests/test_data.py b/tests/test_data.py
@@ -7,40 +7,45 @@
 
 
 class TestSkelet(unittest.TestCase):
-
     def test_data_stats(self):
         stats = opl.data.data_stats([0, 1, 1, 2, 2, 1, 1, 0])
-        self.assertEqual(stats['samples'], 8)
-        self.assertEqual(stats['min'], 0)
-        self.assertEqual(stats['mean'], 1)
-        self.assertEqual(stats['max'], 2)
-        self.assertEqual(stats['range'], 2)
-        self.assertEqual(stats['percentile25'], 0.75)
-        self.assertEqual(stats['percentile75'], 1.25)
-        self.assertEqual(stats['iqr'], 0.5)
+        self.assertEqual(stats["samples"], 8)
+        self.assertEqual(stats["min"], 0)
+        self.assertEqual(stats["mean"], 1)
+        self.assertEqual(stats["max"], 2)
+        self.assertEqual(stats["range"], 2)
+        self.assertEqual(stats["percentile25"], 0.75)
+        self.assertEqual(stats["percentile75"], 1.25)
+        self.assertEqual(stats["iqr"], 0.5)
 
     def test_data_stats_empty(self):
         stats = opl.data.data_stats([])
-        self.assertEqual(stats['samples'], 0)
+        self.assertEqual(stats["samples"], 0)
         self.assertEqual(len(stats), 1)
 
     def test_data_stats_short(self):
         stats = opl.data.data_stats([1])
-        self.assertEqual(stats['samples'], 1)
-        self.assertEqual(stats['stdev'], 0.0)
+        self.assertEqual(stats["samples"], 1)
+        self.assertEqual(stats["stdev"], 0.0)
 
     def test_data_stats_datetime(self):
         data = [
-            datetime.datetime.fromisoformat('2021-03-22T12:00:00.000000+00:00'),
-            datetime.datetime.fromisoformat('2021-03-22T11:50:00.000000+00:00'),
-            datetime.datetime.fromisoformat('2021-03-22T11:30:00.000000+00:00'),
-            datetime.datetime.fromisoformat('2021-03-22T11:00:00.000000+00:00'),
+            datetime.datetime.fromisoformat("2021-03-22T12:00:00.000000+00:00"),
+            datetime.datetime.fromisoformat("2021-03-22T11:50:00.000000+00:00"),
+            datetime.datetime.fromisoformat("2021-03-22T11:30:00.000000+00:00"),
+            datetime.datetime.fromisoformat("2021-03-22T11:00:00.000000+00:00"),
         ]
         stats = opl.data.data_stats(data)
-        self.assertEqual(stats['samples'], 4)
-        self.assertEqual(stats['max'], datetime.datetime.fromisoformat('2021-03-22T12:00:00.000000+00:00'))
-        self.assertEqual(stats['min'], datetime.datetime.fromisoformat('2021-03-22T11:00:00.000000+00:00'))
-        self.assertEqual(stats['range'].total_seconds(), 3600)
+        self.assertEqual(stats["samples"], 4)
+        self.assertEqual(
+            stats["max"],
+            datetime.datetime.fromisoformat("2021-03-22T12:00:00.000000+00:00"),
+        )
+        self.assertEqual(
+            stats["min"],
+            datetime.datetime.fromisoformat("2021-03-22T11:00:00.000000+00:00"),
+        )
+        self.assertEqual(stats["range"].total_seconds(), 3600)
 
     def test_get_hist(self):
         hist = opl.data.get_hist([0, 1, 1, 2, 2, 1, 1, 0])
@@ -61,10 +66,12 @@ def test_get_hist(self):
         )
 
     def test_get_rps(self):
-        rps_vals = opl.data.get_rps([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], bucket_size=10, granularity=1)
+        rps_vals = opl.data.get_rps(
+            [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], bucket_size=10, granularity=1
+        )
         self.assertEqual(len(rps_vals), 10)
-        self.assertEqual(sum(rps_vals)/len(rps_vals), 1.0)
+        self.assertEqual(sum(rps_vals) / len(rps_vals), 1.0)
 
         rps_vals = opl.data.get_rps([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
         self.assertEqual(len(rps_vals), 5)
-        self.assertEqual(sum(rps_vals)/len(rps_vals), 1.0)
+        self.assertEqual(sum(rps_vals) / len(rps_vals), 1.0)