lint

Author: KRRT7

codeflash/lsp/beta.py

@@ -37,28 +37,30 @@ def get_optimizable_functions(
 ) -> dict[str, list[str]]:
     file_path = Path(uris.to_fs_path(params.textDocument.uri))
     server.show_message_log(f"Getting optimizable functions for: {file_path}", "Info")
-    
+
     # Save original args to restore later
-    original_file = getattr(server.optimizer.args, 'file', None)
-    original_function = getattr(server.optimizer.args, 'function', None)
-    original_checkpoint = getattr(server.optimizer.args, 'previous_checkpoint_functions', None)
-    
+    original_file = getattr(server.optimizer.args, "file", None)
+    original_function = getattr(server.optimizer.args, "function", None)
+    original_checkpoint = getattr(server.optimizer.args, "previous_checkpoint_functions", None)
+
     server.show_message_log(f"Original args - file: {original_file}, function: {original_function}", "Info")
-    
+
     try:
         # Set temporary args for this request only
         server.optimizer.args.file = file_path
         server.optimizer.args.function = None  # Always get ALL functions, not just one
         server.optimizer.args.previous_checkpoint_functions = False
-        
+
         server.show_message_log("Calling get_optimizable_functions...", "Info")
         optimizable_funcs, _ = server.optimizer.get_optimizable_functions()
-        
+
         path_to_qualified_names = {}
         for path, functions in optimizable_funcs.items():
             path_to_qualified_names[path.as_posix()] = [func.qualified_name for func in functions]
-        
-        server.show_message_log(f"Found {len(path_to_qualified_names)} files with functions: {path_to_qualified_names}", "Info")
+
+        server.show_message_log(
+            f"Found {len(path_to_qualified_names)} files with functions: {path_to_qualified_names}", "Info"
+        )
         return path_to_qualified_names
     finally:
         # Restore original args to prevent state corruption
@@ -70,8 +72,10 @@ def get_optimizable_functions(
             server.optimizer.args.function = None
         if original_checkpoint is not None:
             server.optimizer.args.previous_checkpoint_functions = original_checkpoint
-        
-        server.show_message_log(f"Restored args - file: {server.optimizer.args.file}, function: {server.optimizer.args.function}", "Info")
+
+        server.show_message_log(
+            f"Restored args - file: {server.optimizer.args.file}, function: {server.optimizer.args.function}", "Info"
+        )
 
 
 @server.feature("initializeFunctionOptimization")
@@ -80,18 +84,20 @@ def initialize_function_optimization(
 ) -> dict[str, str]:
     file_path = Path(uris.to_fs_path(params.textDocument.uri))
     server.show_message_log(f"Initializing optimization for function: {params.functionName} in {file_path}", "Info")
-    
+
     # IMPORTANT: Store the specific function for optimization, but don't corrupt global state
     server.optimizer.args.function = params.functionName
     server.optimizer.args.file = file_path
-    
-    server.show_message_log(f"Args set - function: {server.optimizer.args.function}, file: {server.optimizer.args.file}", "Info")
-    
+
+    server.show_message_log(
+        f"Args set - function: {server.optimizer.args.function}, file: {server.optimizer.args.file}", "Info"
+    )
+
     optimizable_funcs, _ = server.optimizer.get_optimizable_functions()
     if not optimizable_funcs:
         server.show_message_log(f"No optimizable functions found for {params.functionName}", "Warning")
         return {"functionName": params.functionName, "status": "not found", "args": None}
-    
+
     fto = optimizable_funcs.popitem()[1][0]
     server.optimizer.current_function_being_optimized = fto
     server.show_message_log(f"Successfully initialized optimization for {params.functionName}", "Info")
@@ -174,15 +180,19 @@ def generate_tests(server: CodeflashLanguageServer, params: FunctionOptimization
 
 
 @server.feature("performFunctionOptimization")
-def perform_function_optimization(
+def perform_function_optimization(  # noqa: PLR0911
     server: CodeflashLanguageServer, params: FunctionOptimizationParams
 ) -> dict[str, str]:
     server.show_message_log(f"Starting optimization for function: {params.functionName}", "Info")
     current_function = server.optimizer.current_function_being_optimized
-    
+
     if not current_function:
         server.show_message_log(f"No current function being optimized for {params.functionName}", "Error")
-        return {"functionName": params.functionName, "status": "error", "message": "No function currently being optimized"}
+        return {
+            "functionName": params.functionName,
+            "status": "error",
+            "message": "No function currently being optimized",
+        }
 
     module_prep_result = server.optimizer.prepare_module_for_optimization(current_function.file_path)
 
@@ -257,7 +267,9 @@ def perform_function_optimization(
     )
 
     if not best_optimization:
-        server.show_message_log(f"No best optimizations found for function {function_to_optimize_qualified_name}", "Warning")
+        server.show_message_log(
+            f"No best optimizations found for function {function_to_optimize_qualified_name}", "Warning"
+        )
         return {
             "functionName": params.functionName,
             "status": "error",
@@ -266,9 +278,9 @@ def perform_function_optimization(
 
     optimized_source = best_optimization.candidate.source_code
     speedup = original_code_baseline.runtime / best_optimization.runtime
-    
+
     server.show_message_log(f"Optimization completed for {params.functionName} with {speedup:.2f}x speedup", "Info")
-    
+
     # CRITICAL: Clear the function filter after optimization to prevent state corruption
     server.optimizer.args.function = None
     server.show_message_log("Cleared function filter to prevent state corruption", "Info")