Blackened.

scalene/scalene_json.py

@@ -14,22 +14,22 @@
 from scalene.scalene_leak_analysis import ScaleneLeakAnalysis
 from scalene.scalene_statistics import Filename, LineNumber, ScaleneStatistics
 
-if sys.platform != 'win32':
+if sys.platform != "win32":
     from crdp import rdp
 
-class ScaleneJSON:
 
+class ScaleneJSON:
     @staticmethod
     def memory_consumed_str(size_in_mb: float) -> str:
         """Return a string corresponding to amount of memory consumed."""
         gigabytes = size_in_mb // 1024
         terabytes = gigabytes // 1024
         if terabytes > 0:
-            return(f"{(size_in_mb / 1048576):3.3f} TB")
+            return f"{(size_in_mb / 1048576):3.3f} TB"
         elif gigabytes > 0:
-            return(f"{(size_in_mb / 1024):3.3f} GB")
+            return f"{(size_in_mb / 1024):3.3f} GB"
         else:
-            return(f"{size_in_mb:3.3f} MB")
+            return f"{size_in_mb:3.3f} MB"
 
     @staticmethod
     def time_consumed_str(time_in_ms: float) -> str:
@@ -40,14 +40,14 @@ def time_consumed_str(time_in_ms: float) -> str:
         minutes_exact = (time_in_ms % 3600000) / 60000
         seconds_exact = (time_in_ms % 60000) / 1000
         if hours > 0:
-            return(f"{hours_exact:.0f}h:{minutes_exact:.0f}m:{seconds_exact:3.3f}s")
+            return f"{hours_exact:.0f}h:{minutes_exact:.0f}m:{seconds_exact:3.3f}s"
         elif minutes > 0:
-            return(f"{minutes_exact:.0f}m:{seconds_exact:3.3f}s")
+            return f"{minutes_exact:.0f}m:{seconds_exact:3.3f}s"
         elif seconds > 0:
-            return(f"{seconds_exact:3.3f}s")
+            return f"{seconds_exact:3.3f}s"
         else:
-            return(f"{time_in_ms:3.3f}ms")    
-        
+            return f"{time_in_ms:3.3f}ms"
+
     # Default threshold for percent of CPU time to report a file.
     cpu_percent_threshold = 1
 

scalene/scalene_output.py

@@ -370,7 +370,7 @@ def output_profiles(
                         f" (max: {ScaleneJSON.memory_consumed_str(stats.max_footprint)}, growth rate: {growth_rate:3.0f}%)\n"
                     ),
                 )
-                
+
         null = tempfile.TemporaryFile(mode="w+")
 
         console = Console(

scalene/scalene_profiler.py

@@ -559,6 +559,7 @@ def malloc_signal_handler(
             # This should never happen, but we fail gracefully.
             return
         from scalene import pywhere
+
         if this_frame:
             Scalene.enter_function_meta(this_frame, Scalene.__stats)
         # Walk the stack till we find a line of code in a file we are tracing.
@@ -1763,6 +1764,7 @@ def profile_code(
         """Initiate execution and profiling."""
         if Scalene.__args.memory:
             from scalene import pywhere
+
             pywhere.populate_struct()
         # If --off is set, tell all children to not profile and stop profiling before we even start.
         if "off" not in Scalene.__args or not Scalene.__args.off: