reformatting

source/python/gui/source/tests/test_graphs.py

@@ -52,10 +52,7 @@
 path = Path(__file__).parent.absolute()
 
 workload_dir = os.path.realpath(
-    os.path.join(
-        path,
-        *"../workloads/causal-cpu-omni-fast-func-e2e/causal".split("/"),
-    )
+    os.path.join(path, *"../workloads/causal-cpu-omni-fast-func-e2e/causal".split("/"))
 )
 
 titles = [
@@ -219,7 +216,7 @@ def test_parse_files_default():
     assert sorted(file_names_run) == sorted(file_names)
     _samples_df_expected_counts = [138, 152, 276, 138, 152, 828, 138, 152, 138]
 
-    samples_df = samples_df.sort_values(by=["location","count"])
+    samples_df = samples_df.sort_values(by=["location", "count"])
     samples_df_locations = pd.concat(
         [samples_df[0:3], samples_df[100:103], samples_df[150:153]]
     )["location"].to_numpy()
@@ -335,17 +332,7 @@ def test_parse_files_valid_directory():
         "/usr/include/c++/9/ext/string_conversions.h:84",
         "/usr/include/c++/9/ext/string_conversions.h:85",
     ]
-    _samples_df_expected_counts = [
-        152,
-        304,
-        152,
-        152,
-        152,
-        152,
-        3648,
-        456,
-        760,
-    ]
+    _samples_df_expected_counts = [152, 304, 152, 152, 152, 152, 3648, 456, 760]
 
     assert (samples_df_locations == _samples_df_expected_locations).all()
     assert (samples_df_counts == _samples_df_expected_counts).all()
@@ -1416,18 +1403,7 @@ def test_compute_sorts():
             dict_data[file] = process_data({}, _data, ".*", ".*")
 
             results_df = pd.concat(
-                [
-                    results_df,
-                    compute_sorts(
-                        compute_speedups(
-                            dict_data,
-                            [],
-                            0,
-                            [],
-                            False,
-                        )
-                    ),
-                ]
+                [results_df, compute_sorts(compute_speedups(dict_data, [], 0, [], False))]
             )
 
     expected_speedup = [
@@ -1516,17 +1492,7 @@ def test_parse_uploaded_file():
         "/usr/include/c++/9/ext/string_conversions.h:84",
         "/usr/include/c++/9/ext/string_conversions.h:85",
     ]
-    _samples_df_expected_counts = [
-        152,
-        304,
-        152,
-        152,
-        152,
-        152,
-        3648,
-        456,
-        760,
-    ]
+    _samples_df_expected_counts = [152, 304, 152, 152, 152, 152, 3648, 456, 760]
     with open(file_name) as file:
         _data = file.read()
         data, samples_df = parse_uploaded_file(file_name, _data)
@@ -1792,12 +1758,7 @@ def test_impact_title_order():
 
 def test_min_points_slider():
     my_parser = create_parser(default_settings)
-    parser_args = my_parser.parse_args(
-        [
-            "-w",
-            workload_dir,
-        ]
-    )
+    parser_args = my_parser.parse_args(["-w", workload_dir])
 
     t = multiprocessing.Process(target=causal, args=(parser_args,))
     try:
@@ -1939,17 +1900,7 @@ def test_verbose_gui_flag_3():
     ]
 
     t = subprocess.Popen(
-        [
-            sys.executable,
-            "-m",
-            "source",
-            "-w",
-            workload_dir,
-            "--verbose",
-            "3",
-            "-n",
-            "0",
-        ],
+        [sys.executable, "-m", "source", "-w", workload_dir, "--verbose", "3", "-n", "0"],
         stdout=subprocess.PIPE,
     )