add low prob of repeating optimization

Author: dasarchan

codeflash/code_utils/config_consts.py

@@ -9,3 +9,4 @@
 TOTAL_LOOPING_TIME = 10.0  # 10 second candidate benchmarking budget
 COVERAGE_THRESHOLD = 60.0
 MIN_TESTCASE_PASSED_THRESHOLD = 6
+REPEAT_OPTIMIZATION_PROBABILITY = 0.1

codeflash/discovery/functions_to_optimize.py

@@ -28,6 +28,7 @@
 from codeflash.discovery.discover_unit_tests import discover_unit_tests
 from codeflash.models.models import FunctionParent
 from codeflash.telemetry.posthog_cf import ph
+from codeflash.code_utils.config_consts import REPEAT_OPTIMIZATION_PROBABILITY
 
 if TYPE_CHECKING:
     from libcst import CSTNode
@@ -506,6 +507,10 @@ def check_optimization_status(
             if path_key not in already_optimized_paths:
                 filtered_functions[file_path].append(func)
                 remaining_count += 1
+            else:
+                if random.random() < REPEAT_OPTIMIZATION_PROBABILITY:
+                    filtered_functions[file_path].append(func)
+                    remaining_count += 1
 
         return dict(filtered_functions), remaining_count