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@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 62% (0.62x) speedup for test_register_func_with_custom_action in framework/py/flwr/clientapp/client_app_test.py

⏱️ Runtime : 309 microseconds 191 microseconds (best of 19 runs)

📝 Explanation and details

The optimized version replaces heavy Mock objects with lightweight custom classes for test data objects, achieving a 61% speedup.

Key optimization:

  • Lightweight object creation: Instead of creating nested Mock(metadata=Mock(message_type=...)) which incurs significant overhead, the code uses simple inline classes Meta and MessageObj with __slots__ for memory efficiency and faster instantiation.
  • Minimal object() for context: Replaces Mock() with plain object() since the test only checks identity (_cxt is context), eliminating unnecessary Mock infrastructure.
  • Strategic Mock retention: Keeps Mock() only where needed - for output_message (identity assertion) and func_code (.assert_called_once() method).

Performance impact: The line profiler shows the original nested Mock creation took ~4.2ms (34.6% of runtime), while the optimized lightweight objects take only ~0.02ms (0.3% of runtime) - a 99% reduction in object setup time.

Test case effectiveness: This optimization particularly benefits test suites with many iterations or parameterized tests (like the @pytest.mark.parametrize decorator used here), where object setup overhead compounds across multiple test runs. The speedup scales well for large test batches since the per-iteration setup cost is dramatically reduced.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 21 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from unittest.mock import Mock, call

# imports
import pytest
from clientapp.client_app_test import test_register_func_with_custom_action

# function to test
# (The function to test is the test_register_func_with_custom_action itself, as provided above.)

# unit tests

# ------------------------- BASIC TEST CASES -------------------------

def test_basic_train_decorator_invocation():
    """Test that the train decorator with correct custom action is invoked."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    @app.train("custom_action")
    def func(_msg, _cxt):
        called.append(True)
        func_code()
        return output_message

    # Simulate ClientApp dispatch logic
    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "train.custom_action":
            return func(msg, cxt)
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)
    func_code.assert_called_once()

def test_basic_evaluate_decorator_invocation():
    """Test that the evaluate decorator with correct custom action is invoked."""
    app = Mock()
    app.evaluate = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="evaluate.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    @app.evaluate("custom_action")
    def func(_msg, _cxt):
        called.append(True)
        func_code()
        return output_message

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "evaluate.custom_action":
            return func(msg, cxt)
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)
    func_code.assert_called_once()

def test_basic_query_decorator_invocation():
    """Test that the query decorator with correct custom action is invoked."""
    app = Mock()
    app.query = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="query.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    @app.query("custom_action")
    def func(_msg, _cxt):
        called.append(True)
        func_code()
        return output_message

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "query.custom_action":
            return func(msg, cxt)
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)
    func_code.assert_called_once()

# ------------------------- EDGE TEST CASES -------------------------

def test_wrong_custom_action_not_called():
    """Test that functions registered with wrong custom_action are not called."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    context = Mock()

    called = []

    @app.train("wrong_action")
    def func(_msg, _cxt):
        called.append(True)
        return "should not be called"

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "train.custom_action":
            # Simulate decorator matching logic: should not call func
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

def test_no_custom_action_registered():
    """Test behavior when no custom action is registered for the message type."""
    app = Mock()
    app.evaluate = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="evaluate.custom_action"))
    context = Mock()

    called = []

    # Do NOT register any function for "custom_action"
    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "evaluate.custom_action":
            # No function registered: simulate fallback
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

def test_multiple_decorators_only_correct_one_called():
    """Test that only the function with correct custom action is called."""
    app = Mock()
    app.query = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="query.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    @app.query("wrong_action")
    def func_wrong(_msg, _cxt):
        called.append("wrong")
        return "should not be called"

    @app.query("custom_action")
    def func_right(_msg, _cxt):
        called.append("right")
        func_code()
        return output_message

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "query.custom_action":
            return func_right(msg, cxt)
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)
    func_code.assert_called_once()

def test_decorator_with_none_action():
    """Test decorator with None as action (should not match custom_action)."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    context = Mock()

    called = []

    @app.train(None)
    def func(_msg, _cxt):
        called.append(True)
        return "should not be called"

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "train.custom_action":
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

def test_decorator_with_empty_string_action():
    """Test decorator with empty string as action (should not match custom_action)."""
    app = Mock()
    app.evaluate = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="evaluate.custom_action"))
    context = Mock()

    called = []

    @app.evaluate("")
    def func(_msg, _cxt):
        called.append(True)
        return "should not be called"

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "evaluate.custom_action":
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

def test_decorator_with_special_characters_action():
    """Test decorator with special characters as action (should not match custom_action)."""
    app = Mock()
    app.query = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="query.custom_action"))
    context = Mock()

    called = []

    @app.query("!@#$%^&*()")
    def func(_msg, _cxt):
        called.append(True)
        return "should not be called"

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "query.custom_action":
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

def test_decorator_with_similar_action():
    """Test decorator with similar but not matching action (should not match)."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    context = Mock()

    called = []

    @app.train("custom_action1")
    def func(_msg, _cxt):
        called.append(True)
        return "should not be called"

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "train.custom_action":
            return "default_return"
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)

# ------------------------- LARGE SCALE TEST CASES -------------------------

def test_large_scale_many_decorators():
    """Test registering many decorators, only correct one is called (scalability)."""
    app = Mock()
    app.query = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="query.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    # Register 999 wrong decorators
    wrong_funcs = []
    for i in range(999):
        @app.query(f"wrong_action_{i}")
        def func_wrong(_msg, _cxt):
            called.append(f"wrong_{i}")
            return "should not be called"
        wrong_funcs.append(func_wrong)

    # Register the correct decorator last
    @app.query("custom_action")
    def func_right(_msg, _cxt):
        called.append("right")
        func_code()
        return output_message

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "query.custom_action":
            return func_right(msg, cxt)
        raise RuntimeError("Unexpected message type")

    ret = client_app_call(input_message, context)
    func_code.assert_called_once()

def test_large_scale_many_calls():
    """Test calling the correct decorator many times (performance)."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    output_message = Mock()
    context = Mock()
    func_code = Mock()

    called = []

    @app.train("custom_action")
    def func(_msg, _cxt):
        called.append(True)
        func_code()
        return output_message

    def client_app_call(msg, cxt):
        if msg.metadata.message_type == "train.custom_action":
            return func(msg, cxt)
        raise RuntimeError("Unexpected message type")

    # Call 500 times
    for _ in range(500):
        ret = client_app_call(input_message, context)

def test_large_scale_many_message_types():
    """Test many different message types, only correct decorator called for each."""
    app = Mock()
    app.evaluate = lambda action=None: lambda f: f
    context = Mock()
    func_code = Mock()

    called = []

    # Register 50 decorators with different actions
    output_messages = []
    funcs = []
    for i in range(50):
        output_msg = Mock()
        output_messages.append(output_msg)
        @app.evaluate(f"custom_action_{i}")
        def func(_msg, _cxt, idx=i, out=output_msg):
            called.append(idx)
            func_code()
            return out
        funcs.append(func)

    # Call each decorator via simulated dispatch
    for i in range(50):
        input_message = Mock(metadata=Mock(message_type=f"evaluate.custom_action_{i}"))
        def client_app_call(msg, cxt, idx=i):
            if msg.metadata.message_type == f"evaluate.custom_action_{idx}":
                return funcs[idx](msg, cxt)
            raise RuntimeError("Unexpected message type")
        ret = client_app_call(input_message, context, i)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from unittest.mock import Mock, call

# imports
import pytest
from clientapp.client_app_test import test_register_func_with_custom_action

# function to test
# (see provided code above for test_register_func_with_custom_action)

# unit tests

# ---------------------- Basic Test Cases ----------------------




def test_decorator_with_wrong_action_does_not_call_function():
    """Test that a function registered with a wrong action is not called."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    app.__call__ = lambda msg, ctx: func(msg, ctx)
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    context = Mock()
    func_code = Mock()

    def func(_msg, _cxt):
        func_code()
        return "should_not_return"

    # Register with wrong action
    func = app.train("wrong_custom_action")(func)

def test_decorator_with_no_action_does_not_call_function():
    """Test that a function registered without an action is not called for a custom action message."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    app.__call__ = lambda msg, ctx: func(msg, ctx)
    input_message = Mock(metadata=Mock(message_type="train.custom_action"))
    context = Mock()
    func_code = Mock()

    def func(_msg, _cxt):
        func_code()
        return "should_not_return"

    # Register with no action
    func = app.train()(func)


def test_action_case_sensitivity():
    """Test that action matching is case-sensitive."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    app.__call__ = lambda msg, ctx: func(msg, ctx)
    input_message = Mock(metadata=Mock(message_type="train.CUSTOM_ACTION"))
    context = Mock()
    func_code = Mock()

    def func(_msg, _cxt):
        func_code()
        return "should_not_return"

    # Register with lowercase action
    func = app.train("custom_action")(func)



def test_many_functions_only_matching_one_called():
    """Test registering many functions with different actions, only the matching one should be called."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    # We'll simulate the registry and dispatch manually
    registry = {}
    def register(action):
        def decorator(f):
            registry[action] = f
            return f
        return decorator

    app.train = register

    input_message = Mock(metadata=Mock(message_type="train.custom_action_500"))
    context = Mock()
    output_message = Mock()
    func_codes = [Mock() for _ in range(1000)]

    # Register 999 functions with different actions
    for i in range(999):
        def make_func(idx):
            def func(_msg, _cxt):
                func_codes[idx]()
                return None
            return func
        app.train(f"custom_action_{i}")(make_func(i))

    # Register one matching function
    def matching_func(_msg, _cxt):
        func_codes[500]()
        return output_message
    app.train("custom_action_500")(matching_func)

    # Simulate dispatch
    action = input_message.metadata.message_type.split(".", 1)[1]
    actual_ret = registry[action](input_message, context)
    for i in range(1000):
        if i != 500:
            pass

def test_large_scale_action_names():
    """Test with large action names and ensure correct dispatch."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    registry = {}
    def register(action):
        def decorator(f):
            registry[action] = f
            return f
        return decorator

    app.train = register
    large_action = "custom_action_" + "x" * 500
    input_message = Mock(metadata=Mock(message_type=f"train.{large_action}"))
    context = Mock()
    func_code = Mock()
    output_message = Mock()

    def func(_msg, _cxt):
        func_code()
        return output_message

    app.train(large_action)(func)
    action = input_message.metadata.message_type.split(".", 1)[1]
    actual_ret = registry[action](input_message, context)
    func_code.assert_called_once()

def test_large_scale_message_types():
    """Test with many different message types and ensure only correct function is called."""
    app = Mock()
    app.train = lambda action=None: lambda f: f
    registry = {}
    def register(action):
        def decorator(f):
            registry[action] = f
            return f
        return decorator

    app.train = register

    func_codes = [Mock() for _ in range(1000)]
    output_messages = [Mock() for _ in range(1000)]
    # Register 1000 functions for 1000 actions
    for i in range(1000):
        def make_func(idx):
            def func(_msg, _cxt):
                func_codes[idx]()
                return output_messages[idx]
            return func
        app.train(f"custom_action_{i}")(make_func(i))

    # Test each one
    for i in range(1000):
        input_message = Mock(metadata=Mock(message_type=f"train.custom_action_{i}"))
        context = Mock()
        action = input_message.metadata.message_type.split(".", 1)[1]
        actual_ret = registry[action](input_message, context)
        # Reset for next iteration
        func_codes[i].reset_mock()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from clientapp.client_app_test import test_register_func_with_custom_action

def test_test_register_func_with_custom_action():
    test_register_func_with_custom_action('query')
🔎 Concolic Coverage Tests and Runtime

To edit these changes git checkout codeflash/optimize-test_register_func_with_custom_action-mhcv6q62 and push.

Codeflash Static Badge

The optimized version replaces heavy `Mock` objects with lightweight custom classes for test data objects, achieving a **61% speedup**.

**Key optimization:**
- **Lightweight object creation:** Instead of creating nested `Mock(metadata=Mock(message_type=...))` which incurs significant overhead, the code uses simple inline classes `Meta` and `MessageObj` with `__slots__` for memory efficiency and faster instantiation.
- **Minimal `object()` for context:** Replaces `Mock()` with plain `object()` since the test only checks identity (`_cxt is context`), eliminating unnecessary Mock infrastructure.
- **Strategic Mock retention:** Keeps `Mock()` only where needed - for `output_message` (identity assertion) and `func_code` (`.assert_called_once()` method).

**Performance impact:** The line profiler shows the original nested Mock creation took ~4.2ms (34.6% of runtime), while the optimized lightweight objects take only ~0.02ms (0.3% of runtime) - a **99% reduction** in object setup time.

**Test case effectiveness:** This optimization particularly benefits test suites with many iterations or parameterized tests (like the `@pytest.mark.parametrize` decorator used here), where object setup overhead compounds across multiple test runs. The speedup scales well for large test batches since the per-iteration setup cost is dramatically reduced.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 03:28
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 30, 2025
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