Reformat benchmarking files.

python/bench/json_serialization.py

@@ -12,10 +12,7 @@ def create_json_with_large_array(length):
         {
             "index": i,
             "data": f"This is element number {i}",
-            "nested": {
-                "id": i,
-                "value": f"Nested value for element {i}"
-            }
+            "nested": {"id": i, "value": f"Nested value for element {i}"},
         }
         for i in range(length)
     ]
@@ -27,8 +24,8 @@ def create_json_with_large_array(length):
         "metadata": {
             "created_at": "2024-10-22T19:00:00Z",
             "author": "Python Program",
-            "version": 1.0
-        }
+            "version": 1.0,
+        },
     }
 
 
@@ -44,12 +41,11 @@ def create_json_with_large_strings(length: int) -> dict:
         "metadata": {
             "created_at": "2024-10-22T19:00:00Z",
             "author": "Python Program",
-            "version": 1.0
-        }
+            "version": 1.0,
+        },
     }
 
 
-
 def serialize_sequential(data):
     """Serialize data sequentially."""
     return [orjson.dumps(json_obj) for json_obj in data]
@@ -72,6 +68,7 @@ def serialize_sequential_gz(data):
         compressed_data.append(compressed)
     return compressed_data
 
+
 def serialize_parallel_gz(data):
     """Serialize data in parallel with zlib.
 
@@ -85,11 +82,13 @@ def compress_item(json_obj):
         compressed_data = list(executor.map(compress_item, data))
     return compressed_data
 
+
 def gzip_parallel(serialized_data):
     """Compress serialized data in parallel using ThreadPoolExecutor and zlib."""
     with ThreadPoolExecutor() as executor:
         return list(executor.map(zlib.compress, serialized_data))
 
+
 def gzip_sequential(serialized_data):
     """Compress serialized data sequentially using zlib."""
     return [zlib.compress(serialized) for serialized in serialized_data]

python/bench/tracing_client_bench.py

@@ -102,6 +102,7 @@ def benchmark_run_creation(num_runs: int, json_size: int, samples: int = 1) -> D
 json_size = 3_000
 num_runs = 1000
 
+
 def main(json_size: int, num_runs: int):
     """
     Run benchmarks with different combinations of parameters and report results.