Format source code to PEP8 using Ruff (#36)

* added ruff docs

* style: Run ruff and black before yapf pass

* yapf -r -i (23 fixes)

* fixed conf.py and ran ruff format .

* fixed conf.py 2

* formatted argparser.py

* formatted src/rocprof_compute_analyze

* formatted src/rocprof_compute_profile

* formatted soc_base.py

* formatted rocprof_compute_tui

* formatted gui_components

* formatted src/utils

* formatted tests/

* format extra files

* cleanup

* fix test_utils.py

* fixed typos

* Update pyproject.toml

* Update README.md

* Update test_utils.py

---------

Signed-off-by: jamessiddeley-amd <James.Siddeley@amd.com>
Co-authored-by: James Siddeley <James.Siddeley@amd.com>
Co-authored-by: systems-assistant[bot] <systems-assistant[bot]@users.noreply.github.com>

projects/rocprofiler-compute/src/utils/rocpd_data.py

@@ -4,7 +4,8 @@ from contextlib import closing
 
 from utils.logger import console_error
 
-# From schema definition in source/share/rocprofiler-sdk-rocpd/data_views.sql in rocprofiler-sdk repository
+# From schema definition in source/share/rocprofiler-sdk-rocpd/data_views.sql
+# in rocprofiler-sdk repository
 COUNTERS_COLLECTION_QUERY = """
 SELECT
     agent_id as GPU_ID,
@@ -39,9 +40,9 @@ def convert_db_to_csv(
             with closing(conn.execute(COUNTERS_COLLECTION_QUERY)) as cursor:
                 with open(csv_file_path, "w", newline="") as csvfile:
                     writer = csv.writer(csvfile)
-                    writer.writerow(
-                        [description[0] for description in cursor.description]
-                    )
+                    writer.writerow([
+                        description[0] for description in cursor.description
+                    ])
                     for row in cursor:
                         writer.writerow(row)
     except (sqlite3.DatabaseError, IOError) as e:
@@ -50,22 +51,21 @@ def convert_db_to_csv(
 
 def process_rocpd_csv(df):
     """
-    Merge counters across unique dispatches from the input dataframe and return processed dataframe.
+    Merge counters across unique dispatches from the
+    input dataframe and return processed dataframe.
     """
     # Only import pandas if needed
     import pandas as pd
 
     data = list()
     # Group by unique kernel and merge into a single row
-    for _, group_df in df.groupby(
-        [
-            "Dispatch_ID",
-            "Kernel_Name",
-            "Grid_Size",
-            "Workgroup_Size",
-            "LDS_Per_Workgroup",
-        ]
-    ):
+    for _, group_df in df.groupby([
+        "Dispatch_ID",
+        "Kernel_Name",
+        "Grid_Size",
+        "Workgroup_Size",
+        "LDS_Per_Workgroup",
+    ]):
         row = {
             "GPU_ID": group_df["GPU_ID"].iloc[0],
             "Grid_Size": group_df["Grid_Size"].iloc[0],
@@ -80,7 +80,8 @@ def process_rocpd_csv(df):
         }
         # Each counter will become its own column
         row.update(dict(zip(group_df["Counter_Name"], group_df["Counter_Value"])))
-        # Replace end timestamp with median of durations of group, start timestamp is set to 0
+        # Replace end timestamp with median of durations of group,
+        # start timestamp is set to 0
         row["End_Timestamp"] = (
             group_df["End_Timestamp"] - group_df["Start_Timestamp"]
         ).median()