Many fixes, concolic test coverage.

code_to_optimize/bubble_sort_typed.py

@@ -1,4 +1,4 @@
-from __future__ import annotations
+from __future__ import annotations
 
 from typing import Any, Callable, Iterable, NewType, Optional, Protocol, TypeVar
 

code_to_optimize/find_common_tags.py

@@ -0,0 +1,11 @@
+from __future__ import annotations
+
+
+def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]:
+    if not articles:
+        return set()
+
+    common_tags = articles[0]["tags"]
+    for article in articles[1:]:
+        common_tags = [tag for tag in common_tags if tag in article["tags"]]
+    return set(common_tags)

codeflash/discovery/functions_to_optimize.py

@@ -156,26 +156,18 @@ def get_functions_to_optimize(
     module_root: Path,
 ) -> tuple[dict[Path, list[FunctionToOptimize]], int]:
     assert (
-        sum(
+        sum([bool(optimize_all), bool(replay_test), bool(file)]) <= 1
-            [  # Ensure only one of the options is provided
-                bool(optimize_all),
-                bool(replay_test),
-                bool(file),
-            ]
-        )
-        <= 1
     ), "Only one of optimize_all, replay_test, or file should be provided"
     functions: dict[str, list[FunctionToOptimize]]
     if optimize_all:
-        logger.info("Finding all functions in the module '%s' ...", optimize_all)
+        logger.info("Finding all functions in the module '%s'…", optimize_all)
         functions = get_all_files_and_functions(Path(optimize_all))
     elif replay_test is not None:
         functions = get_all_replay_test_functions(
             replay_test=replay_test, test_cfg=test_cfg, project_root_path=project_root
         )
-
     elif file is not None:
-        logger.info("Finding all functions in the file '%s' ...", file)
+        logger.info("Finding all functions in the file '%s'…", file)
         functions = find_all_functions_in_file(file)
         if only_get_this_function is not None:
             split_function = only_get_this_function.split(".")

codeflash/optimization/optimizer.py

@@ -449,7 +449,7 @@ class Optimizer:
                     [
                         "crosshair",
                         "diffbehavior",
-                        "--max_uninteresting_iterations=128",
+                        "--max_uninteresting_iterations=256",
                         function_to_optimize_optimized_worktree_fqn,
                         function_to_optimize_original_worktree_fqn,
                     ],
@@ -463,7 +463,7 @@ class Optimizer:
                         "crosshair",
                         "cover",
                         "--example_output_format=pytest",
-                        "--max_uninteresting_iterations=128",
+                        "--max_uninteresting_iterations=256",
                         function_to_optimize_optimized_worktree_fqn,
                     ],
                     capture_output=True,