From 4debe7ee5063497d0e82e1cd0ad3ed7fea00d355 Mon Sep 17 00:00:00 2001
From: Saurabh Misra <misra.saurabh1@gmail.com>
Date: Wed, 25 Jun 2025 20:47:22 -0700
Subject: [PATCH 01/25] introduce a new integrated "codeflash optimize" command

---
 codeflash/cli_cmds/cli.py               |  9 ++++-
 codeflash/picklepatch/pickle_patcher.py |  2 -
 codeflash/tracer.py                     | 53 +++++++++++++++++++++----
 3 files changed, 53 insertions(+), 11 deletions(-)

diff --git a/codeflash/cli_cmds/cli.py b/codeflash/cli_cmds/cli.py
index c6aaebfe..db749c6f 100644
--- a/codeflash/cli_cmds/cli.py
+++ b/codeflash/cli_cmds/cli.py
@@ -22,6 +22,12 @@ def parse_args() -> Namespace:
 
     init_actions_parser = subparsers.add_parser("init-actions", help="Initialize GitHub Actions workflow")
     init_actions_parser.set_defaults(func=install_github_actions)
+
+    trace_optimize = subparsers.add_parser("optimize", help="Trace and optimize a Python project.")
+    from codeflash.tracer import main as tracer_main
+
+    trace_optimize.set_defaults(func=tracer_main)
+
     parser.add_argument("--file", help="Try to optimize only this file")
     parser.add_argument("--function", help="Try to optimize only this function within the given file path")
     parser.add_argument(
@@ -64,7 +70,8 @@ def parse_args() -> Namespace:
     )
     parser.add_argument("--no-draft", default=False, action="store_true", help="Skip optimization for draft PRs")
 
-    args: Namespace = parser.parse_args()
+    args, unknown_args = parser.parse_known_args()
+    sys.argv[:] = [sys.argv[0], *unknown_args]
     return process_and_validate_cmd_args(args)
 
 
diff --git a/codeflash/picklepatch/pickle_patcher.py b/codeflash/picklepatch/pickle_patcher.py
index 3f3236f7..5c635c0d 100644
--- a/codeflash/picklepatch/pickle_patcher.py
+++ b/codeflash/picklepatch/pickle_patcher.py
@@ -79,8 +79,6 @@ def _create_placeholder(obj: object, error_msg: str, path: list[str]) -> PickleP
         except:  # noqa: E722
             obj_str = f"<unprintable object of type {obj_type.__name__}>"
 
-        print(f"Creating placeholder for {obj_type.__name__} at path {'->'.join(path) or 'root'}: {error_msg}")
-
         placeholder = PicklePlaceholder(obj_type.__name__, obj_str, error_msg, path)
 
         # Add this type to our known unpicklable types cache
diff --git a/codeflash/tracer.py b/codeflash/tracer.py
index 650e74cd..2ef76ad0 100644
--- a/codeflash/tracer.py
+++ b/codeflash/tracer.py
@@ -123,8 +123,8 @@ def __init__(
         self.function_count = defaultdict(int)
         self.current_file_path = Path(__file__).resolve()
         self.ignored_qualified_functions = {
-            f"{self.current_file_path}:Tracer:__exit__",
-            f"{self.current_file_path}:Tracer:__enter__",
+            f"{self.current_file_path}:Tracer.__exit__",
+            f"{self.current_file_path}:Tracer.__enter__",
         }
         self.max_function_count = max_function_count
         self.config, found_config_path = parse_config_file(config_file_path)
@@ -133,6 +133,7 @@ def __init__(
         self.ignored_functions = {"<listcomp>", "<genexpr>", "<dictcomp>", "<setcomp>", "<lambda>", "<module>"}
 
         self.file_being_called_from: str = str(Path(sys._getframe().f_back.f_code.co_filename).name).replace(".", "_")  # noqa: SLF001
+        self.replay_test_file_path: Path | None = None
 
         assert timeout is None or timeout > 0, "Timeout should be greater than 0"
         self.timeout = timeout
@@ -283,6 +284,7 @@ def __exit__(
 
         with Path(test_file_path).open("w", encoding="utf8") as file:
             file.write(replay_test)
+        self.replay_test_file_path = test_file_path
 
         console.print(
             f"Codeflash: Traced {self.trace_count} function calls successfully and replay test created at - {test_file_path}",
@@ -347,8 +349,7 @@ def tracer_logic(self, frame: FrameType, event: str) -> None:  # noqa: PLR0911
         try:
             function_qualified_name = f"{file_name}:{code.co_qualname}"
         except AttributeError:
-            function_qualified_name = f"{file_name}:{(class_name + ':' if class_name else '')}{code.co_name}"
-
+            function_qualified_name = f"{file_name}:{(class_name + '.' if class_name else '')}{code.co_name}"
         if function_qualified_name in self.ignored_qualified_functions:
             return
         if function_qualified_name not in self.function_count:
@@ -701,7 +702,7 @@ def print_stats(self, sort: str | int | tuple = -1) -> None:
                 border_style="blue",
                 title="[bold]Function Profile[/bold] (ordered by internal time)",
                 title_style="cyan",
-                caption=f"Showing top 25 of {len(self.stats)} functions",
+                caption=f"Showing top {min(25, len(self.stats))} of {len(self.stats)} functions",
             )
 
             table.add_column("Calls", justify="right", style="green", width=10)
@@ -793,7 +794,7 @@ def runctx(self, cmd: str, global_vars: dict[str, Any], local_vars: dict[str, An
 
 def main() -> ArgumentParser:
     parser = ArgumentParser(allow_abbrev=False)
-    parser.add_argument("-o", "--outfile", dest="outfile", help="Save trace to <outfile>", required=True)
+    parser.add_argument("-o", "--outfile", dest="outfile", help="Save trace to <outfile>", default="codeflash.trace")
     parser.add_argument("--only-functions", help="Trace only these functions", nargs="+", default=None)
     parser.add_argument(
         "--max-function-count",
@@ -815,6 +816,7 @@ def main() -> ArgumentParser:
         "with the codeflash config. Will be auto-discovered if not specified.",
         default=None,
     )
+    parser.add_argument("--trace-only", action="store_true", help="Trace and create replay tests only, don't optimize")
 
     if not sys.argv[1:]:
         parser.print_usage()
@@ -827,6 +829,7 @@ def main() -> ArgumentParser:
     # to the output file at startup.
     if args.outfile is not None:
         args.outfile = Path(args.outfile).resolve()
+    outfile = args.outfile
 
     if len(unknown_args) > 0:
         if args.module:
@@ -848,14 +851,48 @@ def main() -> ArgumentParser:
                 "__cached__": None,
             }
         try:
-            Tracer(
+            tracer = Tracer(
                 output=args.outfile,
                 functions=args.only_functions,
                 max_function_count=args.max_function_count,
                 timeout=args.tracer_timeout,
                 config_file_path=args.codeflash_config,
                 command=" ".join(sys.argv),
-            ).runctx(code, globs, None)
+            )
+            tracer.runctx(code, globs, None)
+            replay_test_path = tracer.replay_test_file_path
+            if not args.trace_only and replay_test_path is not None:
+                del tracer
+
+                from codeflash.cli_cmds.cli import parse_args, process_pyproject_config
+                from codeflash.cli_cmds.cmd_init import CODEFLASH_LOGO
+                from codeflash.cli_cmds.console import paneled_text
+                from codeflash.telemetry import posthog_cf
+                from codeflash.telemetry.sentry import init_sentry
+
+                sys.argv = ["codeflash", "--replay-test", str(replay_test_path)]
+
+                args = parse_args()
+                paneled_text(
+                    CODEFLASH_LOGO,
+                    panel_args={"title": "https://codeflash.ai", "expand": False},
+                    text_args={"style": "bold gold3"},
+                )
+
+                args = process_pyproject_config(args)
+                args.previous_checkpoint_functions = None
+                init_sentry(not args.disable_telemetry, exclude_errors=True)
+                posthog_cf.initialize_posthog(not args.disable_telemetry)
+
+                from codeflash.optimization import optimizer
+
+                optimizer.run_with_args(args)
+
+                # Delete the trace file and the replay test file if they exist
+                if outfile:
+                    outfile.unlink(missing_ok=True)
+                if replay_test_path:
+                    replay_test_path.unlink(missing_ok=True)
 
         except BrokenPipeError as exc:
             # Prevent "Exception ignored" during interpreter shutdown.

From 0b4fcb64b59930360dd8260dd833aa256d36cf58 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Fri, 27 Jun 2025 17:18:13 -0700
Subject: [PATCH 02/25] rank functions

---
 codeflash/benchmarking/function_ranker.py    | 138 +++++++++++++++++++
 codeflash/discovery/functions_to_optimize.py |  56 +++++++-
 codeflash/tracing/profile_stats.py           |  16 ++-
 3 files changed, 205 insertions(+), 5 deletions(-)
 create mode 100644 codeflash/benchmarking/function_ranker.py

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
new file mode 100644
index 00000000..01028d19
--- /dev/null
+++ b/codeflash/benchmarking/function_ranker.py
@@ -0,0 +1,138 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from codeflash.cli_cmds.console import logger
+from codeflash.tracing.profile_stats import ProfileStats
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from codeflash.discovery.functions_to_optimize import FunctionToOptimize
+
+
+class FunctionRanker:
+    """Ranks functions for optimization based on trace data using ttX scoring.
+
+    ttX = own_time + (time_spent_in_callees x call_count)
+
+    This prioritizes functions that:
+    1. Take significant time themselves (own_time)
+    2. Are called frequently and have expensive subcalls (time_spent_in_callees x call_count)
+    """
+
+    def __init__(self, trace_file_path: Path) -> None:
+        self.trace_file_path = trace_file_path
+        self._function_stats = None
+
+    def load_function_stats(self) -> dict[str, dict]:
+        """Load function timing statistics from trace database using ProfileStats."""
+        if self._function_stats is not None:
+            return self._function_stats
+
+        self._function_stats = {}
+
+        try:
+            profile_stats = ProfileStats(self.trace_file_path.as_posix())
+
+            # Access the stats dictionary directly from ProfileStats
+            for (filename, line_number, function_name), (
+                call_count,
+                _num_callers,
+                total_time_ns,
+                cumulative_time_ns,
+                _callers,
+            ) in profile_stats.stats.items():
+                if call_count <= 0:
+                    continue
+
+                if "." in function_name and not function_name.startswith("<"):
+                    parts = function_name.split(".", 1)
+                    if len(parts) == 2:
+                        class_name, method_name = parts
+                        qualified_name = function_name
+                        base_function_name = method_name
+                    else:
+                        class_name = None
+                        qualified_name = function_name
+                        base_function_name = function_name
+                else:
+                    class_name = None
+                    qualified_name = function_name
+                    base_function_name = function_name
+
+                # Calculate own time (total time - time spent in subcalls)
+                own_time_ns = total_time_ns
+                time_in_callees_ns = cumulative_time_ns - total_time_ns
+
+                # Calculate ttX score
+                ttx_score = own_time_ns + (time_in_callees_ns * call_count)
+
+                function_key = f"{filename}:{qualified_name}"
+                self._function_stats[function_key] = {
+                    "filename": filename,
+                    "function_name": base_function_name,
+                    "qualified_name": qualified_name,
+                    "class_name": class_name,
+                    "line_number": line_number,
+                    "call_count": call_count,
+                    "own_time_ns": own_time_ns,
+                    "cumulative_time_ns": cumulative_time_ns,
+                    "time_in_callees_ns": time_in_callees_ns,
+                    "ttx_score": ttx_score,
+                }
+
+            logger.debug(f"Loaded timing stats for {len(self._function_stats)} functions from trace using ProfileStats")
+
+        except Exception as e:
+            logger.warning(f"Failed to load function stats from trace file {self.trace_file_path}: {e}")
+            self._function_stats = {}
+
+        return self._function_stats
+
+    def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> float:
+        stats = self.load_function_stats()
+
+        possible_keys = [
+            f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}",
+            f"{function_to_optimize.file_path}:{function_to_optimize.function_name}",
+        ]
+
+        for key in possible_keys:
+            if key in stats:
+                return stats[key]["ttx_score"]
+
+        return 0.0
+
+    def rank_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
+        # Calculate ttX scores for all functions
+        function_scores = []
+        for func in functions_to_optimize:
+            ttx_score = self.get_function_ttx_score(func)
+            function_scores.append((func, ttx_score))
+
+        # Sort by ttX score descending (highest impact first)
+        function_scores.sort(key=lambda x: x[1], reverse=True)
+
+        # logger.info("Function ranking by ttX score:")
+        # for i, (func, score) in enumerate(function_scores[:10]):  # Top 10
+        #     logger.info(f"  {i + 1}. {func.qualified_name} (ttX: {score:.0f}ns)")
+
+        ranked_functions = [func for func, _ in function_scores]
+        logger.info(f"Ranked {len(ranked_functions)} functions by optimization priority")
+
+        return ranked_functions
+
+    def get_function_stats_summary(self, function_to_optimize: FunctionToOptimize) -> dict | None:
+        stats = self.load_function_stats()
+
+        possible_keys = [
+            f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}",
+            f"{function_to_optimize.file_path}:{function_to_optimize.function_name}",
+        ]
+
+        for key in possible_keys:
+            if key in stats:
+                return stats[key]
+
+        return None
diff --git a/codeflash/discovery/functions_to_optimize.py b/codeflash/discovery/functions_to_optimize.py
index 792a9fcf..d02e0edf 100644
--- a/codeflash/discovery/functions_to_optimize.py
+++ b/codeflash/discovery/functions_to_optimize.py
@@ -163,6 +163,7 @@ def get_functions_to_optimize(
         "Only one of optimize_all, replay_test, or file should be provided"
     )
     functions: dict[str, list[FunctionToOptimize]]
+    trace_file_path: Path | None = None
     with warnings.catch_warnings():
         warnings.simplefilter(action="ignore", category=SyntaxWarning)
         if optimize_all:
@@ -170,7 +171,7 @@ def get_functions_to_optimize(
             console.rule()
             functions = get_all_files_and_functions(Path(optimize_all))
         elif replay_test:
-            functions = get_all_replay_test_functions(
+            functions, trace_file_path = get_all_replay_test_functions(
                 replay_test=replay_test, test_cfg=test_cfg, project_root_path=project_root
             )
         elif file is not None:
@@ -206,6 +207,28 @@ def get_functions_to_optimize(
         filtered_modified_functions, functions_count = filter_functions(
             functions, test_cfg.tests_root, ignore_paths, project_root, module_root, previous_checkpoint_functions
         )
+
+        if trace_file_path and trace_file_path.exists():
+            from codeflash.benchmarking.function_ranker import FunctionRanker
+
+            ranker = FunctionRanker(trace_file_path)
+
+            all_functions = []
+            for file_functions in filtered_modified_functions.values():
+                all_functions.extend(file_functions)
+
+            if all_functions:
+                ranked_functions = ranker.rank_functions(all_functions)
+
+                ranked_dict = {}
+                for func in ranked_functions:
+                    if func.file_path not in ranked_dict:
+                        ranked_dict[func.file_path] = []
+                    ranked_dict[func.file_path].append(func)
+
+                filtered_modified_functions = ranked_dict
+                logger.info(f"Ranked {len(all_functions)} functions by optimization priority using trace data")
+
         logger.info(f"Found {functions_count} function{'s' if functions_count > 1 else ''} to optimize")
         if optimize_all:
             three_min_in_ns = int(1.8e11)
@@ -272,7 +295,34 @@ def find_all_functions_in_file(file_path: Path) -> dict[Path, list[FunctionToOpt
 
 def get_all_replay_test_functions(
     replay_test: list[Path], test_cfg: TestConfig, project_root_path: Path
-) -> dict[Path, list[FunctionToOptimize]]:
+) -> tuple[dict[Path, list[FunctionToOptimize]], Path]:
+    trace_file_path: Path | None = None
+    for replay_test_file in replay_test:
+        try:
+            with replay_test_file.open("r", encoding="utf8") as f:
+                tree = ast.parse(f.read())
+                for node in ast.walk(tree):
+                    if isinstance(node, ast.Assign):
+                        for target in node.targets:
+                            if (
+                                isinstance(target, ast.Name)
+                                and target.id == "trace_file_path"
+                                and isinstance(node.value, ast.Constant)
+                                and isinstance(node.value.value, str)
+                            ):
+                                trace_file_path = Path(node.value.value)
+                                break
+                        if trace_file_path:
+                            break
+            if trace_file_path:
+                break
+        except Exception as e:
+            logger.warning(f"Error parsing replay test file {replay_test_file}: {e}")
+
+    if not trace_file_path:
+        logger.error("Could not find trace_file_path in replay test files.")
+        exit_with_message("Could not find trace_file_path in replay test files.")
+
     function_tests, _ = discover_unit_tests(test_cfg, discover_only_these_tests=replay_test)
     # Get the absolute file paths for each function, excluding class name if present
     filtered_valid_functions = defaultdict(list)
@@ -317,7 +367,7 @@ def get_all_replay_test_functions(
         if filtered_list:
             filtered_valid_functions[file_path] = filtered_list
 
-    return filtered_valid_functions
+    return filtered_valid_functions, trace_file_path
 
 
 def is_git_repo(file_path: str) -> bool:
diff --git a/codeflash/tracing/profile_stats.py b/codeflash/tracing/profile_stats.py
index 8e2fc5e2..e810c940 100644
--- a/codeflash/tracing/profile_stats.py
+++ b/codeflash/tracing/profile_stats.py
@@ -27,6 +27,7 @@ def create_stats(self) -> None:
             filename,
             line_number,
             function,
+            class_name,
             call_count_nonrecursive,
             num_callers,
             total_time_ns,
@@ -34,8 +35,19 @@ def create_stats(self) -> None:
             callers,
         ) in pdata:
             loaded_callers = json.loads(callers)
-            unmapped_callers = {caller["key"]: caller["value"] for caller in loaded_callers}
-            self.stats[(filename, line_number, function)] = (
+            unmapped_callers = {}
+            for caller in loaded_callers:
+                caller_key = caller["key"]
+                if isinstance(caller_key, list):
+                    caller_key = tuple(caller_key)
+                elif not isinstance(caller_key, tuple):
+                    caller_key = (caller_key,) if not isinstance(caller_key, (list, tuple)) else tuple(caller_key)
+                unmapped_callers[caller_key] = caller["value"]
+
+            # Create function key with class name if present (matching tracer.py format)
+            function_name = f"{class_name}.{function}" if class_name else function
+
+            self.stats[(filename, line_number, function_name)] = (
                 call_count_nonrecursive,
                 num_callers,
                 total_time_ns / time_conversion_factor if time_conversion_factor != 1 else total_time_ns,

From 7f9a60989006304bcfc6d5ab6930c92dc513e9e7 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Mon, 30 Jun 2025 12:38:36 -0700
Subject: [PATCH 03/25] implement reranker

---
 codeflash/benchmarking/function_ranker.py    | 129 ++++++++++---------
 codeflash/code_utils/config_consts.py        |   1 +
 codeflash/discovery/functions_to_optimize.py |   4 +-
 3 files changed, 68 insertions(+), 66 deletions(-)

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index 01028d19..e4977f08 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -3,6 +3,7 @@
 from typing import TYPE_CHECKING
 
 from codeflash.cli_cmds.console import logger
+from codeflash.code_utils.config_consts import DEFAULT_IMPORTANCE_THRESHOLD
 from codeflash.tracing.profile_stats import ProfileStats
 
 if TYPE_CHECKING:
@@ -12,54 +13,45 @@
 
 
 class FunctionRanker:
-    """Ranks functions for optimization based on trace data using ttX scoring.
+    """Ranks and filters functions for optimization based on profiling trace data using the ttX scoring method.
 
-    ttX = own_time + (time_spent_in_callees x call_count)
+    The FunctionRanker analyzes function-level timing statistics from a trace file and assigns a ttX score to each function:
 
-    This prioritizes functions that:
-    1. Take significant time themselves (own_time)
-    2. Are called frequently and have expensive subcalls (time_spent_in_callees x call_count)
+        ttX = own_time + (time_spent_in_callees x call_count)
+
+    This scoring prioritizes functions that:
+      1. Consume significant time themselves (own_time)
+      2. Are called frequently and have expensive subcalls (time_spent_in_callees x call_count)
+
+    first, filters out functions whose own_time is less than a specified percentage (importance_threshold = minimum fraction of total runtime a function must account for to be considered important) of the total runtime, considering them unimportant for optimization.
+
+    The remaining functions are then ranked in descending order by their ttX score, prioritizing those most likely to yield performance improvements if optimized.
     """
 
     def __init__(self, trace_file_path: Path) -> None:
         self.trace_file_path = trace_file_path
-        self._function_stats = None
-
-    def load_function_stats(self) -> dict[str, dict]:
-        """Load function timing statistics from trace database using ProfileStats."""
-        if self._function_stats is not None:
-            return self._function_stats
-
-        self._function_stats = {}
+        self._profile_stats = ProfileStats(trace_file_path.as_posix())
+        self._function_stats: dict[str, dict] = {}
+        self.load_function_stats()
 
+    def load_function_stats(self) -> None:
         try:
-            profile_stats = ProfileStats(self.trace_file_path.as_posix())
-
-            # Access the stats dictionary directly from ProfileStats
-            for (filename, line_number, function_name), (
+            for (filename, line_number, func_name), (
                 call_count,
                 _num_callers,
                 total_time_ns,
                 cumulative_time_ns,
                 _callers,
-            ) in profile_stats.stats.items():
+            ) in self._profile_stats.stats.items():
                 if call_count <= 0:
                     continue
 
-                if "." in function_name and not function_name.startswith("<"):
-                    parts = function_name.split(".", 1)
+                # Parse function name to handle methods within classes
+                class_name, qualified_name, base_function_name = (None, func_name, func_name)
+                if "." in func_name and not func_name.startswith("<"):
+                    parts = func_name.split(".", 1)
                     if len(parts) == 2:
-                        class_name, method_name = parts
-                        qualified_name = function_name
-                        base_function_name = method_name
-                    else:
-                        class_name = None
-                        qualified_name = function_name
-                        base_function_name = function_name
-                else:
-                    class_name = None
-                    qualified_name = function_name
-                    base_function_name = function_name
+                        class_name, base_function_name = parts
 
                 # Calculate own time (total time - time spent in subcalls)
                 own_time_ns = total_time_ns
@@ -85,54 +77,63 @@ def load_function_stats(self) -> dict[str, dict]:
             logger.debug(f"Loaded timing stats for {len(self._function_stats)} functions from trace using ProfileStats")
 
         except Exception as e:
-            logger.warning(f"Failed to load function stats from trace file {self.trace_file_path}: {e}")
+            logger.warning(f"Failed to process function stats from trace file {self.trace_file_path}: {e}")
             self._function_stats = {}
 
-        return self._function_stats
-
-    def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> float:
-        stats = self.load_function_stats()
-
+    def _get_function_stats(self, function_to_optimize: FunctionToOptimize) -> dict | None:
         possible_keys = [
             f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}",
             f"{function_to_optimize.file_path}:{function_to_optimize.function_name}",
         ]
-
         for key in possible_keys:
-            if key in stats:
-                return stats[key]["ttx_score"]
+            if key in self._function_stats:
+                return self._function_stats[key]
+        return None
 
-        return 0.0
+    def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> float:
+        stats = self._get_function_stats(function_to_optimize)
+        return stats["ttx_score"] if stats else 0.0
 
     def rank_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
-        # Calculate ttX scores for all functions
-        function_scores = []
-        for func in functions_to_optimize:
-            ttx_score = self.get_function_ttx_score(func)
-            function_scores.append((func, ttx_score))
+        return sorted(functions_to_optimize, key=self.get_function_ttx_score, reverse=True)
 
-        # Sort by ttX score descending (highest impact first)
-        function_scores.sort(key=lambda x: x[1], reverse=True)
+    def get_function_stats_summary(self, function_to_optimize: FunctionToOptimize) -> dict | None:
+        return self._get_function_stats(function_to_optimize)
 
-        # logger.info("Function ranking by ttX score:")
-        # for i, (func, score) in enumerate(function_scores[:10]):  # Top 10
-        #     logger.info(f"  {i + 1}. {func.qualified_name} (ttX: {score:.0f}ns)")
+    def rerank_and_filter_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
+        """Reranks and filters functions based on their impact on total runtime.
 
-        ranked_functions = [func for func, _ in function_scores]
-        logger.info(f"Ranked {len(ranked_functions)} functions by optimization priority")
+        This method first calculates the total runtime of all profiled functions.
+        It then filters out functions whose own_time is less than a specified
+        percentage of the total runtime (importance_threshold).
 
-        return ranked_functions
+        The remaining 'important' functions are then ranked by their ttX score.
+        """
+        stats_map = self._function_stats
+        if not stats_map:
+            return []
 
-    def get_function_stats_summary(self, function_to_optimize: FunctionToOptimize) -> dict | None:
-        stats = self.load_function_stats()
+        total_program_time = sum(s["own_time_ns"] for s in stats_map.values() if s.get("own_time_ns", 0) > 0)
 
-        possible_keys = [
-            f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}",
-            f"{function_to_optimize.file_path}:{function_to_optimize.function_name}",
-        ]
+        if total_program_time == 0:
+            logger.warning("Total program time is zero, cannot determine function importance.")
+            return self.rank_functions(functions_to_optimize)
 
-        for key in possible_keys:
-            if key in stats:
-                return stats[key]
+        important_functions = []
+        for func in functions_to_optimize:
+            func_stats = self._get_function_stats(func)
+            if func_stats and func_stats.get("own_time_ns", 0) > 0:
+                importance = func_stats["own_time_ns"] / total_program_time
+                if importance >= DEFAULT_IMPORTANCE_THRESHOLD:
+                    important_functions.append(func)
+                else:
+                    logger.info(
+                        f"Filtering out function {func.qualified_name} with importance "
+                        f"{importance:.2%} (below threshold {DEFAULT_IMPORTANCE_THRESHOLD:.2%})"
+                    )
 
-        return None
+        logger.info(
+            f"Filtered down to {len(important_functions)} important functions from {len(functions_to_optimize)} total functions"
+        )
+
+        return self.rank_functions(important_functions)
diff --git a/codeflash/code_utils/config_consts.py b/codeflash/code_utils/config_consts.py
index 0b8f5420..50b4bce1 100644
--- a/codeflash/code_utils/config_consts.py
+++ b/codeflash/code_utils/config_consts.py
@@ -10,3 +10,4 @@
 COVERAGE_THRESHOLD = 60.0
 MIN_TESTCASE_PASSED_THRESHOLD = 6
 REPEAT_OPTIMIZATION_PROBABILITY = 0.1
+DEFAULT_IMPORTANCE_THRESHOLD = 0.001
diff --git a/codeflash/discovery/functions_to_optimize.py b/codeflash/discovery/functions_to_optimize.py
index d02e0edf..0cd6058d 100644
--- a/codeflash/discovery/functions_to_optimize.py
+++ b/codeflash/discovery/functions_to_optimize.py
@@ -218,7 +218,8 @@ def get_functions_to_optimize(
                 all_functions.extend(file_functions)
 
             if all_functions:
-                ranked_functions = ranker.rank_functions(all_functions)
+                ranked_functions = ranker.rerank_and_filter_functions(all_functions)
+                functions_count = len(ranked_functions)
 
                 ranked_dict = {}
                 for func in ranked_functions:
@@ -227,7 +228,6 @@ def get_functions_to_optimize(
                     ranked_dict[func.file_path].append(func)
 
                 filtered_modified_functions = ranked_dict
-                logger.info(f"Ranked {len(all_functions)} functions by optimization priority using trace data")
 
         logger.info(f"Found {functions_count} function{'s' if functions_count > 1 else ''} to optimize")
         if optimize_all:

From eb9e0c6558f6d7d5924692a5b962e962e6fb6b35 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Mon, 30 Jun 2025 18:02:48 -0700
Subject: [PATCH 04/25] allow predict to be included

---
 .../simple_tracer_e2e/workload.py             |   11 +-
 tests/test_function_ranker.py                 |  138 ++
 uv.lock                                       | 1399 ++++++++++-------
 3 files changed, 1011 insertions(+), 537 deletions(-)
 create mode 100644 tests/test_function_ranker.py

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
index db708a5c..eddf37e0 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -1,4 +1,5 @@
 from concurrent.futures import ThreadPoolExecutor
+from time import sleep
 
 
 def funcA(number):
@@ -46,12 +47,20 @@ def _classify(self, features):
 class SimpleModel:
     @staticmethod
     def predict(data):
-        return [x * 2 for x in data]
+        result = []
+        sleep(10)
+        for i in range(500):
+            for x in data:
+                computation = 0
+                computation += x * i ** 2
+                result.append(computation)
+        return result
     
     @classmethod
     def create_default(cls):
         return cls()
 
+
 def test_models():
     model = AlexNet(num_classes=10)
     input_data = [1, 2, 3, 4, 5]
diff --git a/tests/test_function_ranker.py b/tests/test_function_ranker.py
new file mode 100644
index 00000000..2080f892
--- /dev/null
+++ b/tests/test_function_ranker.py
@@ -0,0 +1,138 @@
+import pytest
+from pathlib import Path
+from unittest.mock import patch
+
+from codeflash.benchmarking.function_ranker import FunctionRanker
+from codeflash.discovery.functions_to_optimize import FunctionToOptimize, find_all_functions_in_file
+from codeflash.models.models import FunctionParent
+
+
+@pytest.fixture
+def trace_file():
+    return Path(__file__).parent.parent / "code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace.sqlite3"
+
+
+@pytest.fixture
+def workload_functions():
+    workloads_file = Path(__file__).parent.parent / "code_to_optimize/code_directories/simple_tracer_e2e/workload.py"
+    functions_dict = find_all_functions_in_file(workloads_file)
+    all_functions = []
+    for functions_list in functions_dict.values():
+        all_functions.extend(functions_list)
+    return all_functions
+
+
+@pytest.fixture
+def function_ranker(trace_file):
+    return FunctionRanker(trace_file)
+
+
+def test_function_ranker_initialization(trace_file):
+    ranker = FunctionRanker(trace_file)
+    assert ranker.trace_file_path == trace_file
+    assert ranker._profile_stats is not None
+    assert isinstance(ranker._function_stats, dict)
+
+
+def test_load_function_stats(function_ranker):
+    assert len(function_ranker._function_stats) > 0
+    
+    # Check that funcA is loaded with expected structure
+    func_a_key = None
+    for key, stats in function_ranker._function_stats.items():
+        if stats["function_name"] == "funcA":
+            func_a_key = key
+            break
+    
+    assert func_a_key is not None
+    func_a_stats = function_ranker._function_stats[func_a_key]
+    
+    # Verify funcA stats structure
+    expected_keys = {
+        "filename", "function_name", "qualified_name", "class_name", 
+        "line_number", "call_count", "own_time_ns", "cumulative_time_ns", 
+        "time_in_callees_ns", "ttx_score"
+    }
+    assert set(func_a_stats.keys()) == expected_keys
+    
+    # Verify funcA specific values
+    assert func_a_stats["function_name"] == "funcA"
+    assert func_a_stats["call_count"] == 1
+    assert func_a_stats["own_time_ns"] == 27000
+    assert func_a_stats["cumulative_time_ns"] == 1629000
+
+
+def test_get_function_ttx_score(function_ranker, workload_functions):
+    func_a = None
+    for func in workload_functions:
+        if func.function_name == "funcA":
+            func_a = func
+            break
+    
+    assert func_a is not None
+    ttx_score = function_ranker.get_function_ttx_score(func_a)
+    
+    # Expected ttX score: own_time + (time_in_callees * call_count)
+    # = 27000 + ((1629000 - 27000) * 1) = 1629000
+    assert ttx_score == 1629000
+
+
+def test_rank_functions(function_ranker, workload_functions):
+    ranked_functions = function_ranker.rank_functions(workload_functions)
+    
+    assert len(ranked_functions) == len(workload_functions)
+    
+    # Verify functions are sorted by ttX score in descending order
+    for i in range(len(ranked_functions) - 1):
+        current_score = function_ranker.get_function_ttx_score(ranked_functions[i])
+        next_score = function_ranker.get_function_ttx_score(ranked_functions[i + 1])
+        assert current_score >= next_score
+
+
+def test_rerank_and_filter_functions(function_ranker, workload_functions):
+    filtered_ranked = function_ranker.rerank_and_filter_functions(workload_functions)
+    
+    # Should filter out functions below importance threshold
+    assert len(filtered_ranked) <= len(workload_functions)
+    
+    # funcA should pass the importance threshold (0.33% > 0.1%)
+    func_a_in_results = any(f.function_name == "funcA" for f in filtered_ranked)
+    assert func_a_in_results
+
+
+def test_get_function_stats_summary(function_ranker, workload_functions):
+    func_a = None
+    for func in workload_functions:
+        if func.function_name == "funcA":
+            func_a = func
+            break
+    
+    assert func_a is not None
+    stats = function_ranker.get_function_stats_summary(func_a)
+    
+    assert stats is not None
+    assert stats["function_name"] == "funcA"
+    assert stats["own_time_ns"] == 27000
+    assert stats["cumulative_time_ns"] == 1629000
+    assert stats["ttx_score"] == 1629000
+
+
+
+
+def test_importance_calculation(function_ranker):
+    total_program_time = sum(
+        s["own_time_ns"] for s in function_ranker._function_stats.values() 
+        if s.get("own_time_ns", 0) > 0
+    )
+    
+    func_a_stats = None
+    for stats in function_ranker._function_stats.values():
+        if stats["function_name"] == "funcA":
+            func_a_stats = stats
+            break
+    
+    assert func_a_stats is not None
+    importance = func_a_stats["own_time_ns"] / total_program_time
+    
+    # funcA importance should be approximately 0.33% (27000/8242000)
+    assert abs(importance - 0.00327) < 0.001
diff --git a/uv.lock b/uv.lock
index f51a3e85..c5a74231 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,12 @@
 version = 1
 revision = 2
 requires-python = ">=3.9"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version >= '3.11' and python_full_version < '3.13'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
+]
 
 [[package]]
 name = "annotated-types"
@@ -40,11 +46,11 @@ wheels = [
 
 [[package]]
 name = "backoff"
-version = "1.11.1"
+version = "2.2.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/27/d2/9d2d0f0d6bbe17628b031040b1dadaee616286267e660ad5286a5ed657da/backoff-1.11.1.tar.gz", hash = "sha256:ccb962a2378418c667b3c979b504fdeb7d9e0d29c0579e3b13b86467177728cb", size = 14883, upload-time = "2021-07-14T13:56:15.748Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d7/dd/88df7d5b2077825d6757a674123062c6e7545cc61556b42739e8757b7b65/backoff-1.11.1-py2.py3-none-any.whl", hash = "sha256:61928f8fa48d52e4faa81875eecf308eccfb1016b018bb6bd21e05b5d90a96c5", size = 13141, upload-time = "2021-07-14T13:56:13.096Z" },
+    { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148, upload-time = "2022-10-05T19:19:30.546Z" },
 ]
 
 [[package]]
@@ -62,25 +68,25 @@ wheels = [
 
 [[package]]
 name = "cattrs"
-version = "24.1.3"
+version = "25.1.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "attrs" },
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
-    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/29/7b/da4aa2f95afb2f28010453d03d6eedf018f9e085bd001f039e15731aba89/cattrs-24.1.3.tar.gz", hash = "sha256:981a6ef05875b5bb0c7fb68885546186d306f10f0f6718fe9b96c226e68821ff", size = 426684, upload-time = "2025-03-25T15:01:00.325Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/2b/561d78f488dcc303da4639e02021311728fb7fda8006dd2835550cddd9ed/cattrs-25.1.1.tar.gz", hash = "sha256:c914b734e0f2d59e5b720d145ee010f1fd9a13ee93900922a2f3f9d593b8382c", size = 435016, upload-time = "2025-06-04T20:27:15.44Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/3c/ee/d68a3de23867a9156bab7e0a22fb9a0305067ee639032a22982cf7f725e7/cattrs-24.1.3-py3-none-any.whl", hash = "sha256:adf957dddd26840f27ffbd060a6c4dd3b2192c5b7c2c0525ef1bd8131d8a83f5", size = 66462, upload-time = "2025-03-25T15:00:58.663Z" },
+    { url = "https://files.pythonhosted.org/packages/18/b0/215274ef0d835bbc1056392a367646648b6084e39d489099959aefcca2af/cattrs-25.1.1-py3-none-any.whl", hash = "sha256:1b40b2d3402af7be79a7e7e097a9b4cd16d4c06e6d526644b0b26a063a1cc064", size = 69386, upload-time = "2025-06-04T20:27:13.969Z" },
 ]
 
 [[package]]
 name = "certifi"
-version = "2025.4.26"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e8/9e/c05b3920a3b7d20d3d3310465f50348e5b3694f4f88c6daf736eef3024c4/certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6", size = 160705, upload-time = "2025-04-26T02:12:29.51Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4a/7e/3db2bd1b1f9e95f7cddca6d6e75e2f2bd9f51b1246e546d88addca0106bd/certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3", size = 159618, upload-time = "2025-04-26T02:12:27.662Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]
 
 [[package]]
@@ -170,20 +176,40 @@ wheels = [
 name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.10'",
+]
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "python_full_version < '3.10' and sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593, upload-time = "2024-12-21T18:38:44.339Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/7e/d4/7ebdbd03970677812aac39c869717059dbb71a4cfc033ca6e5221787892c/click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2", size = 98188, upload-time = "2024-12-21T18:38:41.666Z" },
 ]
 
+[[package]]
+name = "click"
+version = "8.2.1"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version >= '3.11' and python_full_version < '3.13'",
+    "python_full_version == '3.10.*'",
+]
+dependencies = [
+    { name = "colorama", marker = "python_full_version >= '3.10' and sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342, upload-time = "2025-05-20T23:19:49.832Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b", size = 102215, upload-time = "2025-05-20T23:19:47.796Z" },
+]
+
 [[package]]
 name = "codeflash"
-version = "0.0.0"
 source = { editable = "." }
 dependencies = [
-    { name = "click" },
+    { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "click", version = "8.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "coverage" },
     { name = "crosshair-tool" },
     { name = "dill" },
@@ -200,6 +226,7 @@ dependencies = [
     { name = "platformdirs" },
     { name = "posthog" },
     { name = "pydantic" },
+    { name = "pygls" },
     { name = "pytest" },
     { name = "pytest-timeout" },
     { name = "rich" },
@@ -212,10 +239,13 @@ dependencies = [
 
 [package.dev-dependencies]
 dev = [
-    { name = "ipython" },
+    { name = "ipython", version = "8.18.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "ipython", version = "8.37.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
+    { name = "ipython", version = "9.4.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "lxml-stubs" },
     { name = "mypy" },
-    { name = "pandas-stubs" },
+    { name = "pandas-stubs", version = "2.2.2.240807", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "pandas-stubs", version = "2.2.2.240909", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "pre-commit" },
     { name = "pytest-benchmark" },
     { name = "ruff" },
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+version = "4.15.1.0"
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From ce68cad0ac07d5bc0b368fe086cb211c2e28336b Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 15:03:17 -0700
Subject: [PATCH 05/25] fix tracer for static methods

---
 codeflash/tracer.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/codeflash/tracer.py b/codeflash/tracer.py
index 2ef76ad0..8f282e80 100644
--- a/codeflash/tracer.py
+++ b/codeflash/tracer.py
@@ -346,6 +346,12 @@ def tracer_logic(self, frame: FrameType, event: str) -> None:  # noqa: PLR0911
             # someone can override the getattr method and raise an exception. I'm looking at you wrapt
             return
 
+        # Extract class name from co_qualname for static methods that lack self/cls
+        if class_name is None and "." in getattr(code, "co_qualname", ""):
+            qualname_parts = code.co_qualname.split(".")
+            if len(qualname_parts) >= 2:
+                class_name = qualname_parts[-2]
+
         try:
             function_qualified_name = f"{file_name}:{code.co_qualname}"
         except AttributeError:

From 72b51c1170a016fc2bd1adc62012d998bf4e1662 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Tue, 1 Jul 2025 22:08:47 +0000
Subject: [PATCH 06/25] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20method?=
 =?UTF-8?q?=20`FunctionRanker.=5Fget=5Ffunction=5Fstats`=20by=2051%=20in?=
 =?UTF-8?q?=20PR=20#384=20(`trace-and-optimize`)=20Here=20is=20an=20**opti?=
 =?UTF-8?q?mized**=20version=20of=20your=20code,=20focusing=20on=20the=20`?=
 =?UTF-8?q?=5Fget=5Ffunction=5Fstats`=20function=E2=80=94the=20proven=20pe?=
 =?UTF-8?q?rformance=20bottleneck=20per=20your=20line=20profiing.?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### Optimizations Applied

1. **Avoid Building Unneeded Lists**:
   - Creating `possible_keys` as a list incurs per-call overhead.
   - Instead, directly check both keys in sequence, avoiding the list entirely.

2. **Short-circuit Early Return**:
   - Check for the first key (`qualified_name`) and return immediately if found (no need to compute or check the second unless necessary).

3. **String Formatting Optimization**:
   - Use f-strings directly in the condition rather than storing/interpolating beforehand.

4. **Comment Retention**:
   - All existing and relevant comments are preserved, though your original snippet has no in-method comments.

---



---

### Rationale

- **No lists** or unneeded temporary objects are constructed.
- Uses `.get`, which is faster than `in` + lookup.
- Returns immediately upon match.

---

**This change will reduce total runtime and memory usage significantly in codebases with many calls to `_get_function_stats`.**
Function signatures and return values are unchanged.
---
 codeflash/benchmarking/function_ranker.py | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index e4977f08..897ddb78 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -1,9 +1,11 @@
 from __future__ import annotations
 
+from pathlib import Path
 from typing import TYPE_CHECKING
 
 from codeflash.cli_cmds.console import logger
 from codeflash.code_utils.config_consts import DEFAULT_IMPORTANCE_THRESHOLD
+from codeflash.discovery.functions_to_optimize import FunctionToOptimize
 from codeflash.tracing.profile_stats import ProfileStats
 
 if TYPE_CHECKING:
@@ -81,14 +83,13 @@ def load_function_stats(self) -> None:
             self._function_stats = {}
 
     def _get_function_stats(self, function_to_optimize: FunctionToOptimize) -> dict | None:
-        possible_keys = [
-            f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}",
-            f"{function_to_optimize.file_path}:{function_to_optimize.function_name}",
-        ]
-        for key in possible_keys:
-            if key in self._function_stats:
-                return self._function_stats[key]
-        return None
+        # First try qualified_name, then function_name, avoid allocating a list
+        key1 = f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}"
+        stats = self._function_stats.get(key1)
+        if stats is not None:
+            return stats
+        key2 = f"{function_to_optimize.file_path}:{function_to_optimize.function_name}"
+        return self._function_stats.get(key2, None)
 
     def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> float:
         stats = self._get_function_stats(function_to_optimize)

From ea16342c1cc98fb0a6443ef61e3feac5476bd521 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 16:42:50 -0700
Subject: [PATCH 07/25] update tests

---
 .../simple_tracer_e2e/codeflash.trace         | Bin 0 -> 122880 bytes
 .../simple_tracer_e2e/workload.py             |   2 +-
 tests/test_function_ranker.py                 |  54 ++++++++++++++----
 3 files changed, 45 insertions(+), 11 deletions(-)
 create mode 100644 code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace b/code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace
new file mode 100644
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zdYi)$(dYN(s<T2+H^}cr!veE$fhL@~lX!t05@I1C6ps04{U^l%Vlevr5vZ~WMf^A<
z#XlPkh%~eq5yW9pYgh~_0Nv5WZ2IKGd0{8BoMSLuO_&9W2t)ztxlnzt{2;>L+f7hi
z3HaB0A?Ox^kf}K1i3ei)$y)ayj9E1a`n@P{Jv-$CxSq~dvYy5Y>_^{*fIk}ZhGxT?
z6zemq&_utEf^Am$Zh1d0rJXKCKWN(+(pr_arInR9FYEeW=~ps>o(Sk{cFYqYGY0b5
z-txWjK3vB@<<@Zr6d0rQiwQG8YS3IGnqH6lVqT6ZbUj<;2XH;DbUl?|nPm!=l~pv&
z>4vxIccnl+*(TqQi)gFdB9^Lg!}MM_wTD7Ut5_-Dht9cf3^f&gT-}85-J+4GE8pIH
zTUbL)H$2vs$a^s`MicA`K3t20HXH%#iRVu<r?r~Hg0P|QN0RrT@27?Me$MKr?iuMD
zNc(;Qv~Vcn<<XtX3&O8Yden*hN`MZq6<!5};kbkHy@>1O6xV$f2blc`No>pVs23MO
z)jDM>z5u{@VY7!Z{?EGKX5hzsm>4iIU}C_;fQbPU111Jc444=&F<@fA#DIwb69exs
N4A@xC!o0ak`u{;qFq;4X

literal 0
HcmV?d00001

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
index eddf37e0..ef8efe4f 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -48,7 +48,7 @@ class SimpleModel:
     @staticmethod
     def predict(data):
         result = []
-        sleep(10)
+        sleep(0.1)
         for i in range(500):
             for x in data:
                 computation = 0
diff --git a/tests/test_function_ranker.py b/tests/test_function_ranker.py
index 2080f892..4dc472e0 100644
--- a/tests/test_function_ranker.py
+++ b/tests/test_function_ranker.py
@@ -9,7 +9,7 @@
 
 @pytest.fixture
 def trace_file():
-    return Path(__file__).parent.parent / "code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace.sqlite3"
+    return Path(__file__).parent.parent / "code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace"
 
 
 @pytest.fixture
@@ -58,8 +58,8 @@ def test_load_function_stats(function_ranker):
     # Verify funcA specific values
     assert func_a_stats["function_name"] == "funcA"
     assert func_a_stats["call_count"] == 1
-    assert func_a_stats["own_time_ns"] == 27000
-    assert func_a_stats["cumulative_time_ns"] == 1629000
+    assert func_a_stats["own_time_ns"] == 153000
+    assert func_a_stats["cumulative_time_ns"] == 5960000
 
 
 def test_get_function_ttx_score(function_ranker, workload_functions):
@@ -73,8 +73,8 @@ def test_get_function_ttx_score(function_ranker, workload_functions):
     ttx_score = function_ranker.get_function_ttx_score(func_a)
     
     # Expected ttX score: own_time + (time_in_callees * call_count)
-    # = 27000 + ((1629000 - 27000) * 1) = 1629000
-    assert ttx_score == 1629000
+    # = 153000 + ((5960000 - 153000) * 1) = 5960000
+    assert ttx_score == 5960000
 
 
 def test_rank_functions(function_ranker, workload_functions):
@@ -112,9 +112,9 @@ def test_get_function_stats_summary(function_ranker, workload_functions):
     
     assert stats is not None
     assert stats["function_name"] == "funcA"
-    assert stats["own_time_ns"] == 27000
-    assert stats["cumulative_time_ns"] == 1629000
-    assert stats["ttx_score"] == 1629000
+    assert stats["own_time_ns"] == 153000
+    assert stats["cumulative_time_ns"] == 5960000
+    assert stats["ttx_score"] == 5960000
 
 
 
@@ -134,5 +134,39 @@ def test_importance_calculation(function_ranker):
     assert func_a_stats is not None
     importance = func_a_stats["own_time_ns"] / total_program_time
     
-    # funcA importance should be approximately 0.33% (27000/8242000)
-    assert abs(importance - 0.00327) < 0.001
+    # funcA importance should be approximately 1.0% (153000/15281000)
+    assert abs(importance - 0.01001) < 0.001
+
+
+def test_simple_model_predict_stats(function_ranker, workload_functions):
+    # Find SimpleModel::predict function
+    predict_func = None
+    for func in workload_functions:
+        if func.function_name == "predict":
+            predict_func = func
+            break
+    
+    assert predict_func is not None
+    
+    stats = function_ranker.get_function_stats_summary(predict_func)
+    assert stats is not None
+    assert stats["function_name"] == "predict"
+    assert stats["call_count"] == 1
+    assert stats["own_time_ns"] == 2368000
+    assert stats["cumulative_time_ns"] == 4103000
+    assert stats["ttx_score"] == 4103000
+    
+    # Test ttX score calculation
+    ttx_score = function_ranker.get_function_ttx_score(predict_func)
+    # Expected ttX score: own_time + (time_in_callees * call_count)
+    # = 2368000 + ((4103000 - 2368000) * 1) = 4103000
+    assert ttx_score == 4103000
+    
+    # Test importance calculation for predict function
+    total_program_time = sum(
+        s["own_time_ns"] for s in function_ranker._function_stats.values() 
+        if s.get("own_time_ns", 0) > 0
+    )
+    importance = stats["own_time_ns"] / total_program_time
+    # predict importance should be approximately 15.5% (2368000/15281000)
+    assert abs(importance - 0.155) < 0.01

From 947ab07e96941b8c6b06be8a5aa7216a9343638d Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:03:36 -0700
Subject: [PATCH 08/25] don't let the AI replicate

---
 codeflash/cli_cmds/cli.py         | 2 ++
 codeflash/code_utils/env_utils.py | 6 ++++++
 2 files changed, 8 insertions(+)

diff --git a/codeflash/cli_cmds/cli.py b/codeflash/cli_cmds/cli.py
index db749c6f..7abda90e 100644
--- a/codeflash/cli_cmds/cli.py
+++ b/codeflash/cli_cmds/cli.py
@@ -109,6 +109,8 @@ def process_and_validate_cmd_args(args: Namespace) -> Namespace:
             if not Path(test_path).is_file():
                 exit_with_message(f"Replay test file {test_path} does not exist", error_on_exit=True)
         args.replay_test = [Path(replay_test).resolve() for replay_test in args.replay_test]
+        if env_utils.is_ci():
+            args.no_pr = True
 
     return args
 
diff --git a/codeflash/code_utils/env_utils.py b/codeflash/code_utils/env_utils.py
index f127a305..a35dfd84 100644
--- a/codeflash/code_utils/env_utils.py
+++ b/codeflash/code_utils/env_utils.py
@@ -112,6 +112,12 @@ def get_cached_gh_event_data() -> dict[str, Any] | None:
         return json.load(f)  # type: ignore  # noqa
 
 
+@lru_cache(maxsize=1)
+def is_ci() -> bool:
+    """Check if running in a CI environment."""
+    return bool(os.environ.get("CI") or os.environ.get("GITHUB_ACTIONS"))
+
+
 @lru_cache(maxsize=1)
 def is_LSP_enabled() -> bool:
     return console.quiet

From faebe9b7c7b23f38312b4dda10d85721a581d01d Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:05:15 -0700
Subject: [PATCH 09/25] ruff

---
 codeflash/lsp/server.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/codeflash/lsp/server.py b/codeflash/lsp/server.py
index 1a303c13..a018786a 100644
--- a/codeflash/lsp/server.py
+++ b/codeflash/lsp/server.py
@@ -3,7 +3,7 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
-from lsprotocol.types import INITIALIZE, MessageType, LogMessageParams
+from lsprotocol.types import INITIALIZE, LogMessageParams, MessageType
 from pygls import uris
 from pygls.protocol import LanguageServerProtocol, lsp_method
 from pygls.server import LanguageServer
@@ -58,21 +58,22 @@ def initialize_optimizer(self, config_file: Path) -> None:
 
     def show_message_log(self, message: str, message_type: str) -> None:
         """Send a log message to the client's output channel.
-        
+
         Args:
             message: The message to log
             message_type: String type - "Info", "Warning", "Error", or "Log"
+
         """
         # Convert string message type to LSP MessageType enum
         type_mapping = {
             "Info": MessageType.Info,
-            "Warning": MessageType.Warning, 
+            "Warning": MessageType.Warning,
             "Error": MessageType.Error,
-            "Log": MessageType.Log
+            "Log": MessageType.Log,
         }
-        
+
         lsp_message_type = type_mapping.get(message_type, MessageType.Info)
-        
+
         # Send log message to client (appears in output channel)
         log_params = LogMessageParams(type=lsp_message_type, message=message)
         self.lsp.notify("window/logMessage", log_params)

From a0e57bac7edb2015404854fd05ba45afb521cf41 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:09:42 -0700
Subject: [PATCH 10/25] mypy-ruff

---
 codeflash/lsp/server_entry.py     | 7 ++++---
 codeflash/telemetry/posthog_cf.py | 4 ++--
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/codeflash/lsp/server_entry.py b/codeflash/lsp/server_entry.py
index 841d18f8..88e4b282 100644
--- a/codeflash/lsp/server_entry.py
+++ b/codeflash/lsp/server_entry.py
@@ -1,5 +1,6 @@
-"""This script is the dedicated entry point for the Codeflash Language Server.
-It initializes the server and redirects its logs to stderr so that the
+"""Entry point for the Codeflash Language Server.
+
+Initializes the server and redirects its logs to stderr so that the
 VS Code client can display them in the output channel.
 
 This script is run by the VS Code extension and is not intended to be
@@ -13,7 +14,7 @@
 
 
 # Configure logging to stderr for VS Code output channel
-def setup_logging():
+def setup_logging() -> logging.Logger:
     # Clear any existing handlers to prevent conflicts
     root_logger = logging.getLogger()
     root_logger.handlers.clear()
diff --git a/codeflash/telemetry/posthog_cf.py b/codeflash/telemetry/posthog_cf.py
index 9bb219d4..ee9d733e 100644
--- a/codeflash/telemetry/posthog_cf.py
+++ b/codeflash/telemetry/posthog_cf.py
@@ -21,7 +21,7 @@ def initialize_posthog(enabled: bool = True) -> None:  # noqa: FBT001, FBT002
         return
 
     global _posthog  # noqa: PLW0603
-    _posthog = Posthog(project_api_key="phc_aUO790jHd7z1SXwsYCz8dRApxueplZlZWeDSpKc5hol", host="https://us.posthog.com")  # type: ignore  # noqa: PGH003
+    _posthog = Posthog(project_api_key="phc_aUO790jHd7z1SXwsYCz8dRApxueplZlZWeDSpKc5hol", host="https://us.posthog.com")
     _posthog.log.setLevel(logging.CRITICAL)  # Suppress PostHog logging
     ph("cli-telemetry-enabled")
 
@@ -41,6 +41,6 @@ def ph(event: str, properties: dict[str, Any] | None = None) -> None:
     user_id = get_user_id()
 
     if user_id:
-        _posthog.capture(distinct_id=user_id, event=event, properties=properties)  # type: ignore  # noqa: PGH003
+        _posthog.capture(distinct_id=user_id, event=event, properties=properties)
     else:
         logger.debug("Failed to log event to PostHog: User ID could not be retrieved.")

From fd1e4924389b2a8ffc35f97687a7deabd6feb05e Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:40:01 -0700
Subject: [PATCH 11/25] silence test collection warnings

---
 pyproject.toml | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/pyproject.toml b/pyproject.toml
index bcac6575..6c814841 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -289,6 +289,12 @@ formatter-cmds = [
     "uvx ruff format $file",
 ]
 
+[tool.pytest.ini_options]
+filterwarnings = [
+    "ignore::pytest.PytestCollectionWarning",
+    "ignore::pytest.PytestUnknownMarkWarning"
+]
+
 [build-system]
 requires = ["hatchling", "uv-dynamic-versioning"]
 build-backend = "hatchling.build"

From f7c8a6b1fba212021d330526ce8326a32d744b88 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:41:42 -0700
Subject: [PATCH 12/25] Update function_ranker.py

---
 codeflash/benchmarking/function_ranker.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index 897ddb78..48c7583d 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -3,7 +3,7 @@
 from pathlib import Path
 from typing import TYPE_CHECKING
 
-from codeflash.cli_cmds.console import logger
+from codeflash.cli_cmds.console import console, logger
 from codeflash.code_utils.config_consts import DEFAULT_IMPORTANCE_THRESHOLD
 from codeflash.discovery.functions_to_optimize import FunctionToOptimize
 from codeflash.tracing.profile_stats import ProfileStats
@@ -128,7 +128,7 @@ def rerank_and_filter_functions(self, functions_to_optimize: list[FunctionToOpti
                 if importance >= DEFAULT_IMPORTANCE_THRESHOLD:
                     important_functions.append(func)
                 else:
-                    logger.info(
+                    logger.debug(
                         f"Filtering out function {func.qualified_name} with importance "
                         f"{importance:.2%} (below threshold {DEFAULT_IMPORTANCE_THRESHOLD:.2%})"
                     )
@@ -136,5 +136,6 @@ def rerank_and_filter_functions(self, functions_to_optimize: list[FunctionToOpti
         logger.info(
             f"Filtered down to {len(important_functions)} important functions from {len(functions_to_optimize)} total functions"
         )
+        console.rule()
 
         return self.rank_functions(important_functions)

From 35059a94f54bbe82cd72331f950d2ba5e12214a8 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:43:52 -0700
Subject: [PATCH 13/25] Update workload.py

---
 code_to_optimize/code_directories/simple_tracer_e2e/workload.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
index ef8efe4f..3b207a7a 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -48,7 +48,7 @@ class SimpleModel:
     @staticmethod
     def predict(data):
         result = []
-        sleep(0.1)
+        sleep(0.1) # can be optimized away
         for i in range(500):
             for x in data:
                 computation = 0

From f74d9476916fce06f0bd0d4bcfa113c5759f7797 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 17:51:17 -0700
Subject: [PATCH 14/25] update CI

---
 codeflash/benchmarking/function_ranker.py     | 19 ++++++-----
 .../scripts/end_to_end_test_tracer_replay.py  |  2 +-
 tests/scripts/end_to_end_test_utilities.py    | 34 ++++++-------------
 3 files changed, 22 insertions(+), 33 deletions(-)

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index 48c7583d..316c2772 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from pathlib import Path
 from typing import TYPE_CHECKING
 
 from codeflash.cli_cmds.console import console, logger
@@ -83,13 +82,17 @@ def load_function_stats(self) -> None:
             self._function_stats = {}
 
     def _get_function_stats(self, function_to_optimize: FunctionToOptimize) -> dict | None:
-        # First try qualified_name, then function_name, avoid allocating a list
-        key1 = f"{function_to_optimize.file_path}:{function_to_optimize.qualified_name}"
-        stats = self._function_stats.get(key1)
-        if stats is not None:
-            return stats
-        key2 = f"{function_to_optimize.file_path}:{function_to_optimize.function_name}"
-        return self._function_stats.get(key2, None)
+        target_filename = function_to_optimize.file_path.name
+        for key, stats in self._function_stats.items():
+            if stats.get("function_name") == function_to_optimize.function_name and (
+                key.endswith(f"/{target_filename}") or target_filename in key
+            ):
+                return stats
+
+        logger.debug(
+            f"Could not find stats for function {function_to_optimize.function_name} in file {target_filename}"
+        )
+        return None
 
     def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> float:
         stats = self._get_function_stats(function_to_optimize)
diff --git a/tests/scripts/end_to_end_test_tracer_replay.py b/tests/scripts/end_to_end_test_tracer_replay.py
index 7c1e820c..7e170f4a 100644
--- a/tests/scripts/end_to_end_test_tracer_replay.py
+++ b/tests/scripts/end_to_end_test_tracer_replay.py
@@ -8,7 +8,7 @@ def run_test(expected_improvement_pct: int) -> bool:
     config = TestConfig(
         trace_mode=True,
         min_improvement_x=0.1,
-        expected_unit_tests=7,
+        expected_unit_tests=8,
         coverage_expectations=[
             CoverageExpectation(function_name="funcA", expected_coverage=100.0, expected_lines=[5, 6, 7, 8, 10, 13])
         ],
diff --git a/tests/scripts/end_to_end_test_utilities.py b/tests/scripts/end_to_end_test_utilities.py
index d0c70097..6dc1aba4 100644
--- a/tests/scripts/end_to_end_test_utilities.py
+++ b/tests/scripts/end_to_end_test_utilities.py
@@ -185,10 +185,9 @@ def validate_stdout_in_candidate(stdout: str, expected_in_stdout: list[str]) ->
 
 
 def run_trace_test(cwd: pathlib.Path, config: TestConfig, expected_improvement_pct: int) -> bool:
-    # First command: Run the tracer
     test_root = cwd / "tests" / (config.test_framework or "")
     clear_directory(test_root)
-    command = ["python", "-m", "codeflash.tracer", "-o", "codeflash.trace", "workload.py"]
+    command = ["python", "-m", "codeflash.main", "optimize", "workload.py"]
     process = subprocess.Popen(
         command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, cwd=str(cwd), env=os.environ.copy()
     )
@@ -202,33 +201,20 @@ def run_trace_test(cwd: pathlib.Path, config: TestConfig, expected_improvement_p
     stdout = "".join(output)
 
     if return_code != 0:
-        logging.error(f"Tracer command returned exit code {return_code}")
+        logging.error(f"Tracer with optimization command returned exit code {return_code}")
         return False
 
-    functions_traced = re.search(r"Traced (\d+) function calls successfully and replay test created at - (.*)$", stdout)
-    if not functions_traced or int(functions_traced.group(1)) != 13:
-        logging.error("Expected 13 traced functions")
+    functions_traced = re.search(r"Traced (\d+) function calls successfully", stdout)
+    logging.info(functions_traced.groups() if functions_traced else "No functions traced")
+    if not functions_traced:
+        logging.error("Failed to find traced functions in output")
         return False
-
-    replay_test_path = pathlib.Path(functions_traced.group(2))
-    if not replay_test_path.exists():
-        logging.error(f"Replay test file missing at {replay_test_path}")
+    if int(functions_traced.group(1)) != 13:
+        logging.error(functions_traced.groups())
+        logging.error("Expected 13 traced functions")
         return False
 
-    # Second command: Run optimization
-    command = ["python", "../../../codeflash/main.py", "--replay-test", str(replay_test_path), "--no-pr"]
-    process = subprocess.Popen(
-        command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, cwd=str(cwd), env=os.environ.copy()
-    )
-
-    output = []
-    for line in process.stdout:
-        logging.info(line.strip())
-        output.append(line)
-
-    return_code = process.wait()
-    stdout = "".join(output)
-
+    # Validate optimization results (from optimization phase)
     return validate_output(stdout, return_code, expected_improvement_pct, config)
 
 

From 9addd95f567e3b9a57c7ef1491867e3a33bdbdd4 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Tue, 1 Jul 2025 19:51:17 -0700
Subject: [PATCH 15/25] update cov numbers

---
 tests/scripts/end_to_end_test_tracer_replay.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/scripts/end_to_end_test_tracer_replay.py b/tests/scripts/end_to_end_test_tracer_replay.py
index 7e170f4a..118eb1a9 100644
--- a/tests/scripts/end_to_end_test_tracer_replay.py
+++ b/tests/scripts/end_to_end_test_tracer_replay.py
@@ -10,7 +10,7 @@ def run_test(expected_improvement_pct: int) -> bool:
         min_improvement_x=0.1,
         expected_unit_tests=8,
         coverage_expectations=[
-            CoverageExpectation(function_name="funcA", expected_coverage=100.0, expected_lines=[5, 6, 7, 8, 10, 13])
+            CoverageExpectation(function_name="funcA", expected_coverage=100.0, expected_lines=[6, 7, 8, 9, 11, 14])
         ],
     )
     cwd = (

From 70cecaf8c49e5e903122964ec8dc4348cf228aec Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Wed, 2 Jul 2025 18:14:15 -0700
Subject: [PATCH 16/25] rank only, change formula

---
 .../simple_tracer_e2e/codeflash.trace         | Bin 122880 -> 126976 bytes
 codeflash/benchmarking/function_ranker.py     |  38 ++++++++++++------
 codeflash/discovery/functions_to_optimize.py  |   2 +-
 tests/test_function_ranker.py                 |  36 ++++++++---------
 4 files changed, 45 insertions(+), 31 deletions(-)

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace b/code_to_optimize/code_directories/simple_tracer_e2e/codeflash.trace
index 4947b62b7982858122f6757c375962d79dcbad49..6e3ea527d11a010f66597940507a862454dcfcda 100644
GIT binary patch
delta 6875
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diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index 316c2772..99de4b2a 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -14,19 +14,17 @@
 
 
 class FunctionRanker:
-    """Ranks and filters functions for optimization based on profiling trace data using the ttX scoring method.
+    """Ranks and filters functions based on a ttX score derived from profiling data.
 
-    The FunctionRanker analyzes function-level timing statistics from a trace file and assigns a ttX score to each function:
+    The ttX score is calculated as:
+        ttX = own_time + (time_spent_in_callees / call_count)
 
-        ttX = own_time + (time_spent_in_callees x call_count)
+    This score prioritizes functions that are computationally heavy themselves (high `own_time`)
+    or that make expensive calls to other functions (high average `time_spent_in_callees`).
 
-    This scoring prioritizes functions that:
-      1. Consume significant time themselves (own_time)
-      2. Are called frequently and have expensive subcalls (time_spent_in_callees x call_count)
-
-    first, filters out functions whose own_time is less than a specified percentage (importance_threshold = minimum fraction of total runtime a function must account for to be considered important) of the total runtime, considering them unimportant for optimization.
-
-    The remaining functions are then ranked in descending order by their ttX score, prioritizing those most likely to yield performance improvements if optimized.
+    Functions are first filtered by an importance threshold based on their `own_time` as a
+    fraction of the total runtime. The remaining functions are then ranked by their ttX score
+    to identify the best candidates for optimization.
     """
 
     def __init__(self, trace_file_path: Path) -> None:
@@ -59,7 +57,7 @@ def load_function_stats(self) -> None:
                 time_in_callees_ns = cumulative_time_ns - total_time_ns
 
                 # Calculate ttX score
-                ttx_score = own_time_ns + (time_in_callees_ns * call_count)
+                ttx_score = own_time_ns + (time_in_callees_ns / call_count)
 
                 function_key = f"{filename}:{qualified_name}"
                 self._function_stats[function_key] = {
@@ -99,11 +97,27 @@ def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> fl
         return stats["ttx_score"] if stats else 0.0
 
     def rank_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
-        return sorted(functions_to_optimize, key=self.get_function_ttx_score, reverse=True)
+        ranked = sorted(functions_to_optimize, key=self.get_function_ttx_score, reverse=True)
+        logger.info(
+            f"Function ranking order: {[f'{func.function_name} (ttX={self.get_function_ttx_score(func):.2f})' for func in ranked]}"
+        )
+        return ranked
 
     def get_function_stats_summary(self, function_to_optimize: FunctionToOptimize) -> dict | None:
         return self._get_function_stats(function_to_optimize)
 
+    def rerank_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
+        """Ranks functions based on their ttX score.
+
+        This method calculates the ttX score for each function and returns
+        the functions sorted in descending order of their ttX score.
+        """
+        if not self._function_stats:
+            logger.warning("No function stats available to rank functions.")
+            return []
+
+        return self.rank_functions(functions_to_optimize)
+
     def rerank_and_filter_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
         """Reranks and filters functions based on their impact on total runtime.
 
diff --git a/codeflash/discovery/functions_to_optimize.py b/codeflash/discovery/functions_to_optimize.py
index 0cd6058d..7dfed7d7 100644
--- a/codeflash/discovery/functions_to_optimize.py
+++ b/codeflash/discovery/functions_to_optimize.py
@@ -218,7 +218,7 @@ def get_functions_to_optimize(
                 all_functions.extend(file_functions)
 
             if all_functions:
-                ranked_functions = ranker.rerank_and_filter_functions(all_functions)
+                ranked_functions = ranker.rank_functions(all_functions)
                 functions_count = len(ranked_functions)
 
                 ranked_dict = {}
diff --git a/tests/test_function_ranker.py b/tests/test_function_ranker.py
index 4dc472e0..0cb1bb77 100644
--- a/tests/test_function_ranker.py
+++ b/tests/test_function_ranker.py
@@ -58,8 +58,8 @@ def test_load_function_stats(function_ranker):
     # Verify funcA specific values
     assert func_a_stats["function_name"] == "funcA"
     assert func_a_stats["call_count"] == 1
-    assert func_a_stats["own_time_ns"] == 153000
-    assert func_a_stats["cumulative_time_ns"] == 5960000
+    assert func_a_stats["own_time_ns"] == 63000
+    assert func_a_stats["cumulative_time_ns"] == 5443000
 
 
 def test_get_function_ttx_score(function_ranker, workload_functions):
@@ -72,9 +72,9 @@ def test_get_function_ttx_score(function_ranker, workload_functions):
     assert func_a is not None
     ttx_score = function_ranker.get_function_ttx_score(func_a)
     
-    # Expected ttX score: own_time + (time_in_callees * call_count)
-    # = 153000 + ((5960000 - 153000) * 1) = 5960000
-    assert ttx_score == 5960000
+    # Expected ttX score: own_time + (time_in_callees / call_count)
+    # = 63000 + ((5443000 - 63000) / 1) = 5443000
+    assert ttx_score == 5443000
 
 
 def test_rank_functions(function_ranker, workload_functions):
@@ -112,9 +112,9 @@ def test_get_function_stats_summary(function_ranker, workload_functions):
     
     assert stats is not None
     assert stats["function_name"] == "funcA"
-    assert stats["own_time_ns"] == 153000
-    assert stats["cumulative_time_ns"] == 5960000
-    assert stats["ttx_score"] == 5960000
+    assert stats["own_time_ns"] == 63000
+    assert stats["cumulative_time_ns"] == 5443000
+    assert stats["ttx_score"] == 5443000
 
 
 
@@ -134,8 +134,8 @@ def test_importance_calculation(function_ranker):
     assert func_a_stats is not None
     importance = func_a_stats["own_time_ns"] / total_program_time
     
-    # funcA importance should be approximately 1.0% (153000/15281000)
-    assert abs(importance - 0.01001) < 0.001
+    # funcA importance should be approximately 0.57% (63000/10968000)
+    assert abs(importance - 0.0057) < 0.001
 
 
 def test_simple_model_predict_stats(function_ranker, workload_functions):
@@ -152,15 +152,15 @@ def test_simple_model_predict_stats(function_ranker, workload_functions):
     assert stats is not None
     assert stats["function_name"] == "predict"
     assert stats["call_count"] == 1
-    assert stats["own_time_ns"] == 2368000
-    assert stats["cumulative_time_ns"] == 4103000
-    assert stats["ttx_score"] == 4103000
+    assert stats["own_time_ns"] == 2289000
+    assert stats["cumulative_time_ns"] == 4017000
+    assert stats["ttx_score"] == 4017000
     
     # Test ttX score calculation
     ttx_score = function_ranker.get_function_ttx_score(predict_func)
-    # Expected ttX score: own_time + (time_in_callees * call_count)
-    # = 2368000 + ((4103000 - 2368000) * 1) = 4103000
-    assert ttx_score == 4103000
+    # Expected ttX score: own_time + (time_in_callees / call_count)
+    # = 2289000 + ((4017000 - 2289000) / 1) = 4017000
+    assert ttx_score == 4017000
     
     # Test importance calculation for predict function
     total_program_time = sum(
@@ -168,5 +168,5 @@ def test_simple_model_predict_stats(function_ranker, workload_functions):
         if s.get("own_time_ns", 0) > 0
     )
     importance = stats["own_time_ns"] / total_program_time
-    # predict importance should be approximately 15.5% (2368000/15281000)
-    assert abs(importance - 0.155) < 0.01
+    # predict importance should be approximately 20.9% (2289000/10968000)
+    assert abs(importance - 0.209) < 0.01

From 96acfc70a2efbdcbb891be3e85711a3ea20a5654 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Wed, 2 Jul 2025 22:09:18 -0700
Subject: [PATCH 17/25] per module ranking

---
 codeflash/benchmarking/function_ranker.py    |  2 +-
 codeflash/discovery/functions_to_optimize.py | 25 ++----------------
 codeflash/optimization/optimizer.py          | 27 +++++++++++++++++---
 3 files changed, 27 insertions(+), 27 deletions(-)

diff --git a/codeflash/benchmarking/function_ranker.py b/codeflash/benchmarking/function_ranker.py
index 99de4b2a..9d1d8ec1 100644
--- a/codeflash/benchmarking/function_ranker.py
+++ b/codeflash/benchmarking/function_ranker.py
@@ -98,7 +98,7 @@ def get_function_ttx_score(self, function_to_optimize: FunctionToOptimize) -> fl
 
     def rank_functions(self, functions_to_optimize: list[FunctionToOptimize]) -> list[FunctionToOptimize]:
         ranked = sorted(functions_to_optimize, key=self.get_function_ttx_score, reverse=True)
-        logger.info(
+        logger.debug(
             f"Function ranking order: {[f'{func.function_name} (ttX={self.get_function_ttx_score(func):.2f})' for func in ranked]}"
         )
         return ranked
diff --git a/codeflash/discovery/functions_to_optimize.py b/codeflash/discovery/functions_to_optimize.py
index 7dfed7d7..2f46daaa 100644
--- a/codeflash/discovery/functions_to_optimize.py
+++ b/codeflash/discovery/functions_to_optimize.py
@@ -158,7 +158,7 @@ def get_functions_to_optimize(
     project_root: Path,
     module_root: Path,
     previous_checkpoint_functions: dict[str, dict[str, str]] | None = None,
-) -> tuple[dict[Path, list[FunctionToOptimize]], int]:
+) -> tuple[dict[Path, list[FunctionToOptimize]], int, Path | None]:
     assert sum([bool(optimize_all), bool(replay_test), bool(file)]) <= 1, (
         "Only one of optimize_all, replay_test, or file should be provided"
     )
@@ -208,27 +208,6 @@ def get_functions_to_optimize(
             functions, test_cfg.tests_root, ignore_paths, project_root, module_root, previous_checkpoint_functions
         )
 
-        if trace_file_path and trace_file_path.exists():
-            from codeflash.benchmarking.function_ranker import FunctionRanker
-
-            ranker = FunctionRanker(trace_file_path)
-
-            all_functions = []
-            for file_functions in filtered_modified_functions.values():
-                all_functions.extend(file_functions)
-
-            if all_functions:
-                ranked_functions = ranker.rank_functions(all_functions)
-                functions_count = len(ranked_functions)
-
-                ranked_dict = {}
-                for func in ranked_functions:
-                    if func.file_path not in ranked_dict:
-                        ranked_dict[func.file_path] = []
-                    ranked_dict[func.file_path].append(func)
-
-                filtered_modified_functions = ranked_dict
-
         logger.info(f"Found {functions_count} function{'s' if functions_count > 1 else ''} to optimize")
         if optimize_all:
             three_min_in_ns = int(1.8e11)
@@ -237,7 +216,7 @@ def get_functions_to_optimize(
                 f"It might take about {humanize_runtime(functions_count * three_min_in_ns)} to fully optimize this project. Codeflash "
                 f"will keep opening pull requests as it finds optimizations."
             )
-        return filtered_modified_functions, functions_count
+        return filtered_modified_functions, functions_count, trace_file_path
 
 
 def get_functions_within_git_diff() -> dict[str, list[FunctionToOptimize]]:
diff --git a/codeflash/optimization/optimizer.py b/codeflash/optimization/optimizer.py
index 819e6126..930620de 100644
--- a/codeflash/optimization/optimizer.py
+++ b/codeflash/optimization/optimizer.py
@@ -109,7 +109,7 @@ def run_benchmarks(
 
         return function_benchmark_timings, total_benchmark_timings
 
-    def get_optimizable_functions(self) -> tuple[dict[Path, list[FunctionToOptimize]], int]:
+    def get_optimizable_functions(self) -> tuple[dict[Path, list[FunctionToOptimize]], int, Path | None]:
         """Discover functions to optimize."""
         from codeflash.discovery.functions_to_optimize import get_functions_to_optimize
 
@@ -255,7 +255,7 @@ def run(self) -> None:
         cleanup_paths(Optimizer.find_leftover_instrumented_test_files(self.test_cfg.tests_root))
 
         function_optimizer = None
-        file_to_funcs_to_optimize, num_optimizable_functions = self.get_optimizable_functions()
+        file_to_funcs_to_optimize, num_optimizable_functions, trace_file_path = self.get_optimizable_functions()
         function_benchmark_timings, total_benchmark_timings = self.run_benchmarks(
             file_to_funcs_to_optimize, num_optimizable_functions
         )
@@ -282,7 +282,21 @@ def run(self) -> None:
 
                 validated_original_code, original_module_ast = module_prep_result
 
-                for function_to_optimize in file_to_funcs_to_optimize[original_module_path]:
+                functions_to_optimize = file_to_funcs_to_optimize[original_module_path]
+                if trace_file_path and trace_file_path.exists() and len(functions_to_optimize) > 1:
+                    try:
+                        from codeflash.benchmarking.function_ranker import FunctionRanker
+
+                        ranker = FunctionRanker(trace_file_path)
+                        functions_to_optimize = ranker.rank_functions(functions_to_optimize)
+                        logger.info(
+                            f"Ranked {len(functions_to_optimize)} functions by performance impact in {original_module_path}"
+                        )
+                        console.rule()
+                    except Exception as e:
+                        logger.debug(f"Could not rank functions in {original_module_path}: {e}")
+
+                for function_to_optimize in functions_to_optimize:
                     function_iterator_count += 1
                     logger.info(
                         f"Optimizing function {function_iterator_count} of {num_optimizable_functions}: "
@@ -322,6 +336,8 @@ def run(self) -> None:
             ph("cli-optimize-run-finished", {"optimizations_found": optimizations_found})
             if self.functions_checkpoint:
                 self.functions_checkpoint.cleanup()
+            if hasattr(self.args, "command") and self.args.command == "optimize":
+                self.cleanup_replay_tests()
             if optimizations_found == 0:
                 logger.info("❌ No optimizations found.")
             elif self.args.all:
@@ -352,6 +368,11 @@ def find_leftover_instrumented_test_files(test_root: Path) -> list[Path]:
             file_path for file_path in test_root.rglob("*") if file_path.is_file() and pattern.match(file_path.name)
         ]
 
+    def cleanup_replay_tests(self) -> None:
+        if self.replay_tests_dir and self.replay_tests_dir.exists():
+            logger.debug(f"Cleaning up replay tests directory: {self.replay_tests_dir}")
+            cleanup_paths([self.replay_tests_dir])
+
     def cleanup_temporary_paths(self) -> None:
         if self.current_function_optimizer:
             self.current_function_optimizer.cleanup_generated_files()

From e5e1ff05ac15d4d00aed31ee5a38e4142637f044 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Wed, 2 Jul 2025 22:44:38 -0700
Subject: [PATCH 18/25] update tests

---
 tests/test_function_discovery.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/tests/test_function_discovery.py b/tests/test_function_discovery.py
index 38a616cd..291b4270 100644
--- a/tests/test_function_discovery.py
+++ b/tests/test_function_discovery.py
@@ -129,7 +129,7 @@ def functionA():
             tests_root="tests", project_root_path=".", test_framework="pytest", tests_project_rootdir=Path()
         )
         path_obj_name = Path(f.name)
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,
@@ -145,7 +145,7 @@ def functionA():
             assert functions[file][0].function_name == "functionA"
             assert functions[file][0].top_level_parent_name == "A"
 
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,
@@ -161,7 +161,7 @@ def functionA():
             assert functions[file][0].function_name == "functionA"
             assert functions[file][0].top_level_parent_name == "X"
 
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,
@@ -229,7 +229,7 @@ def traverse(node_id):
             tests_root="tests", project_root_path=".", test_framework="pytest", tests_project_rootdir=Path()
         )
         path_obj_name = Path(f.name)
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,
@@ -258,7 +258,7 @@ def inner_function():
             tests_root="tests", project_root_path=".", test_framework="pytest", tests_project_rootdir=Path()
         )
         path_obj_name = Path(f.name)
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,
@@ -289,7 +289,7 @@ def another_inner_function():
             tests_root="tests", project_root_path=".", test_framework="pytest", tests_project_rootdir=Path()
         )
         path_obj_name = Path(f.name)
-        functions, functions_count = get_functions_to_optimize(
+        functions, functions_count, _ = get_functions_to_optimize(
             optimize_all=None,
             replay_test=None,
             file=path_obj_name,

From eba8cb819faa7959f8f647de1f7070a679ac2ba8 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Wed, 2 Jul 2025 22:48:45 -0700
Subject: [PATCH 19/25] move to env utils, pre-commit

---
 codeflash/code_utils/env_utils.py   | 15 +++++++++++++++
 codeflash/optimization/optimizer.py | 19 +------------------
 2 files changed, 16 insertions(+), 18 deletions(-)

diff --git a/codeflash/code_utils/env_utils.py b/codeflash/code_utils/env_utils.py
index a35dfd84..3def52e3 100644
--- a/codeflash/code_utils/env_utils.py
+++ b/codeflash/code_utils/env_utils.py
@@ -121,3 +121,18 @@ def is_ci() -> bool:
 @lru_cache(maxsize=1)
 def is_LSP_enabled() -> bool:
     return console.quiet
+
+
+def is_pr_draft() -> bool:
+    """Check if the PR is draft. in the github action context."""
+    try:
+        event_path = os.getenv("GITHUB_EVENT_PATH")
+        pr_number = get_pr_number()
+        if pr_number is not None and event_path:
+            with Path(event_path).open() as f:
+                event_data = json.load(f)
+            return bool(event_data["pull_request"]["draft"])
+        return False  # noqa
+    except Exception as e:
+        logger.warning(f"Error checking if PR is draft: {e}")
+        return False
diff --git a/codeflash/optimization/optimizer.py b/codeflash/optimization/optimizer.py
index 930620de..cd53cc56 100644
--- a/codeflash/optimization/optimizer.py
+++ b/codeflash/optimization/optimizer.py
@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import ast
-import json
 import os
 import tempfile
 import time
@@ -13,7 +12,7 @@
 from codeflash.cli_cmds.console import console, logger, progress_bar
 from codeflash.code_utils import env_utils
 from codeflash.code_utils.code_utils import cleanup_paths, get_run_tmp_file
-from codeflash.code_utils.env_utils import get_pr_number
+from codeflash.code_utils.env_utils import get_pr_number, is_pr_draft
 from codeflash.either import is_successful
 from codeflash.models.models import ValidCode
 from codeflash.telemetry.posthog_cf import ph
@@ -64,7 +63,6 @@ def run_benchmarks(
         from codeflash.benchmarking.replay_test import generate_replay_test
         from codeflash.benchmarking.trace_benchmarks import trace_benchmarks_pytest
         from codeflash.benchmarking.utils import print_benchmark_table, validate_and_format_benchmark_table
-        from codeflash.code_utils.env_utils import get_pr_number
 
         with progress_bar(
             f"Running benchmarks in {self.args.benchmarks_root}", transient=True, revert_to_print=bool(get_pr_number())
@@ -394,18 +392,3 @@ def run_with_args(args: Namespace) -> None:
             optimizer.cleanup_temporary_paths()
 
         raise SystemExit from None
-
-
-def is_pr_draft() -> bool:
-    """Check if the PR is draft. in the github action context."""
-    try:
-        event_path = os.getenv("GITHUB_EVENT_PATH")
-        pr_number = get_pr_number()
-        if pr_number is not None and event_path:
-            with Path(event_path).open() as f:
-                event_data = json.load(f)
-            return bool(event_data["pull_request"]["draft"])
-        return False  # noqa
-    except Exception as e:
-        logger.warning(f"Error checking if PR is draft: {e}")
-        return False

From e2e6803543d6ef83d1593b37162980cf2bdf038f Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 16:20:05 -0700
Subject: [PATCH 20/25] add markers

---
 pyproject.toml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 6c814841..1862bed9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -292,7 +292,9 @@ formatter-cmds = [
 [tool.pytest.ini_options]
 filterwarnings = [
     "ignore::pytest.PytestCollectionWarning",
-    "ignore::pytest.PytestUnknownMarkWarning"
+]
+markers = [
+    "ci_skip: mark test to skip in CI environment",
 ]
 
 [build-system]

From 39e0859c3644631246efdea21e7e9455db0be218 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 16:28:07 -0700
Subject: [PATCH 21/25] Update cli.py

---
 codeflash/cli_cmds/cli.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/codeflash/cli_cmds/cli.py b/codeflash/cli_cmds/cli.py
index 7abda90e..e4f6db5a 100644
--- a/codeflash/cli_cmds/cli.py
+++ b/codeflash/cli_cmds/cli.py
@@ -10,6 +10,7 @@
 from codeflash.code_utils import env_utils
 from codeflash.code_utils.code_utils import exit_with_message
 from codeflash.code_utils.config_parser import parse_config_file
+from codeflash.tracer import main as tracer_main
 from codeflash.version import __version__ as version
 
 
@@ -24,8 +25,6 @@ def parse_args() -> Namespace:
     init_actions_parser.set_defaults(func=install_github_actions)
 
     trace_optimize = subparsers.add_parser("optimize", help="Trace and optimize a Python project.")
-    from codeflash.tracer import main as tracer_main
-
     trace_optimize.set_defaults(func=tracer_main)
 
     parser.add_argument("--file", help="Try to optimize only this file")

From c09f32e4edfade687092dbab1462ec40bf98dd28 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 16:29:41 -0700
Subject: [PATCH 22/25] Revert "Update cli.py"

This reverts commit 39e0859c3644631246efdea21e7e9455db0be218.
---
 codeflash/cli_cmds/cli.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/codeflash/cli_cmds/cli.py b/codeflash/cli_cmds/cli.py
index e4f6db5a..7abda90e 100644
--- a/codeflash/cli_cmds/cli.py
+++ b/codeflash/cli_cmds/cli.py
@@ -10,7 +10,6 @@
 from codeflash.code_utils import env_utils
 from codeflash.code_utils.code_utils import exit_with_message
 from codeflash.code_utils.config_parser import parse_config_file
-from codeflash.tracer import main as tracer_main
 from codeflash.version import __version__ as version
 
 
@@ -25,6 +24,8 @@ def parse_args() -> Namespace:
     init_actions_parser.set_defaults(func=install_github_actions)
 
     trace_optimize = subparsers.add_parser("optimize", help="Trace and optimize a Python project.")
+    from codeflash.tracer import main as tracer_main
+
     trace_optimize.set_defaults(func=tracer_main)
 
     parser.add_argument("--file", help="Try to optimize only this file")

From 60922b866895d0a500669c568f2502e25b9c97d8 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 16:58:45 -0700
Subject: [PATCH 23/25] allow args for the optimize command too

---
 codeflash/cli_cmds/cli.py | 24 ++++++++++++++++++++++++
 codeflash/tracer.py       | 35 ++++++++++++++++++++++++++---------
 2 files changed, 50 insertions(+), 9 deletions(-)

diff --git a/codeflash/cli_cmds/cli.py b/codeflash/cli_cmds/cli.py
index 7abda90e..265d3274 100644
--- a/codeflash/cli_cmds/cli.py
+++ b/codeflash/cli_cmds/cli.py
@@ -24,10 +24,34 @@ def parse_args() -> Namespace:
     init_actions_parser.set_defaults(func=install_github_actions)
 
     trace_optimize = subparsers.add_parser("optimize", help="Trace and optimize a Python project.")
+
     from codeflash.tracer import main as tracer_main
 
     trace_optimize.set_defaults(func=tracer_main)
 
+    trace_optimize.add_argument(
+        "--max-function-count",
+        type=int,
+        default=100,
+        help="The maximum number of times to trace a single function. More calls to a function will not be traced. Default is 100.",
+    )
+    trace_optimize.add_argument(
+        "--timeout",
+        type=int,
+        help="The maximum time in seconds to trace the entire workflow. Default is indefinite. This is useful while tracing really long workflows, to not wait indefinitely.",
+    )
+    trace_optimize.add_argument(
+        "--output",
+        type=str,
+        default="codeflash.trace",
+        help="The file to save the trace to. Default is codeflash.trace.",
+    )
+    trace_optimize.add_argument(
+        "--config-file-path",
+        type=str,
+        help="The path to the pyproject.toml file which stores the Codeflash config. This is auto-discovered by default.",
+    )
+
     parser.add_argument("--file", help="Try to optimize only this file")
     parser.add_argument("--function", help="Try to optimize only this function within the given file path")
     parser.add_argument(
diff --git a/codeflash/tracer.py b/codeflash/tracer.py
index 8f282e80..0b4736a9 100644
--- a/codeflash/tracer.py
+++ b/codeflash/tracer.py
@@ -46,6 +46,7 @@
 from codeflash.verification.verification_utils import get_test_file_path
 
 if TYPE_CHECKING:
+    from argparse import Namespace
     from types import FrameType, TracebackType
 
 
@@ -798,7 +799,7 @@ def runctx(self, cmd: str, global_vars: dict[str, Any], local_vars: dict[str, An
         return self
 
 
-def main() -> ArgumentParser:
+def main(args: Namespace | None = None) -> ArgumentParser:
     parser = ArgumentParser(allow_abbrev=False)
     parser.add_argument("-o", "--outfile", dest="outfile", help="Save trace to <outfile>", default="codeflash.trace")
     parser.add_argument("--only-functions", help="Trace only these functions", nargs="+", default=None)
@@ -824,18 +825,34 @@ def main() -> ArgumentParser:
     )
     parser.add_argument("--trace-only", action="store_true", help="Trace and create replay tests only, don't optimize")
 
-    if not sys.argv[1:]:
-        parser.print_usage()
-        sys.exit(2)
+    if args is not None:
+        parsed_args = args
+        parsed_args.outfile = getattr(args, "output", "codeflash.trace")
+        parsed_args.only_functions = getattr(args, "only_functions", None)
+        parsed_args.max_function_count = getattr(args, "max_function_count", 100)
+        parsed_args.tracer_timeout = getattr(args, "timeout", None)
+        parsed_args.codeflash_config = getattr(args, "config_file_path", None)
+        parsed_args.trace_only = getattr(args, "trace_only", False)
+        parsed_args.module = False
+
+        if getattr(args, "disable", False):
+            console.rule("Codeflash: Tracer disabled by --disable option", style="bold red")
+            return parser
+
+        unknown_args = []
+    else:
+        if not sys.argv[1:]:
+            parser.print_usage()
+            sys.exit(2)
 
-    args, unknown_args = parser.parse_known_args()
-    sys.argv[:] = unknown_args
+        parsed_args, unknown_args = parser.parse_known_args()
+        sys.argv[:] = unknown_args
 
     # The script that we're profiling may chdir, so capture the absolute path
     # to the output file at startup.
-    if args.outfile is not None:
-        args.outfile = Path(args.outfile).resolve()
-    outfile = args.outfile
+    if parsed_args.outfile is not None:
+        parsed_args.outfile = Path(parsed_args.outfile).resolve()
+    outfile = parsed_args.outfile
 
     if len(unknown_args) > 0:
         if args.module:

From bf6313f358628e22eaf6b3d24147b811e4a04919 Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 17:20:44 -0700
Subject: [PATCH 24/25] fix parsing

---
 codeflash/tracer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/codeflash/tracer.py b/codeflash/tracer.py
index 0b4736a9..d3b5288d 100644
--- a/codeflash/tracer.py
+++ b/codeflash/tracer.py
@@ -855,7 +855,7 @@ def main(args: Namespace | None = None) -> ArgumentParser:
     outfile = parsed_args.outfile
 
     if len(unknown_args) > 0:
-        if args.module:
+        if parsed_args.module:
             import runpy
 
             code = "run_module(modname, run_name='__main__')"

From 87f44a2a8a4da01e2bc3fbcb39f280a70c1f50af Mon Sep 17 00:00:00 2001
From: Kevin Turcios <turcioskevinr@gmail.com>
Date: Thu, 3 Jul 2025 17:21:26 -0700
Subject: [PATCH 25/25] fix parsing

---
 codeflash/tracer.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/codeflash/tracer.py b/codeflash/tracer.py
index d3b5288d..85c6f3b6 100644
--- a/codeflash/tracer.py
+++ b/codeflash/tracer.py
@@ -875,16 +875,16 @@ def main(args: Namespace | None = None) -> ArgumentParser:
             }
         try:
             tracer = Tracer(
-                output=args.outfile,
-                functions=args.only_functions,
-                max_function_count=args.max_function_count,
-                timeout=args.tracer_timeout,
-                config_file_path=args.codeflash_config,
+                output=parsed_args.outfile,
+                functions=parsed_args.only_functions,
+                max_function_count=parsed_args.max_function_count,
+                timeout=parsed_args.tracer_timeout,
+                config_file_path=parsed_args.codeflash_config,
                 command=" ".join(sys.argv),
             )
             tracer.runctx(code, globs, None)
             replay_test_path = tracer.replay_test_file_path
-            if not args.trace_only and replay_test_path is not None:
+            if not parsed_args.trace_only and replay_test_path is not None:
                 del tracer
 
                 from codeflash.cli_cmds.cli import parse_args, process_pyproject_config