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@codeflash-ai codeflash-ai bot commented Oct 29, 2025

📄 678% (6.78x) speedup for get_dummy_client in framework/py/flwr/simulation/ray_transport/ray_client_proxy_test.py

⏱️ Runtime : 3.18 milliseconds 408 microseconds (best of 301 runs)

📝 Explanation and details

Explanation of Optimizations:

  1. client/numpy_client.py:

    • Optimization: Cached the wrapper class for each unique type of NumPyClient to avoid repeated execution of type(...) and lookups.
    • Performance Impact: Significantly reduces overhead for repeated calls to to_client() on instances of the same class, especially when called hundreds of times, by reusing the constructed wrapper class rather than recreating it each call.
    • Other: All logic, error handling, and output are behavior-preserved per the critical requirements.
  2. simulation/ray_transport/ray_client_proxy_test.py:

    • No further optimization required; function is a single constructor call and delegation. No opportunity to optimize runtime without changing signatures or behavior.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 554 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from simulation.ray_transport.ray_client_proxy_test import get_dummy_client


# function to test
class DummyClient:
    """A simple dummy client for testing purposes."""
    def __init__(self, node_id, state):
        self.node_id = node_id
        self.state = state

    def to_client(self):
        # Returns self for simplicity, mimicking conversion to Client type
        return self
from simulation.ray_transport.ray_client_proxy_test import get_dummy_client


# Helper class to mimic the Context object
class Context:
    def __init__(self, node_id, state):
        self.node_id = node_id
        self.state = state

# ===================
# Unit Tests for get_dummy_client
# ===================

# 1. Basic Test Cases
def test_basic_valid_context():
    """Test with a typical context."""
    ctx = Context(node_id=1, state="active")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_basic_string_node_id():
    """Test with string node_id."""
    ctx = Context(node_id="node42", state="idle")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_basic_none_state():
    """Test with None state."""
    ctx = Context(node_id=3, state=None)
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

# 2. Edge Test Cases

def test_edge_empty_node_id():
    """Test with empty string node_id."""
    ctx = Context(node_id="", state="inactive")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_empty_state():
    """Test with empty string state."""
    ctx = Context(node_id=5, state="")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_large_integer_node_id():
    """Test with a large integer node_id."""
    large_id = 10**12
    ctx = Context(node_id=large_id, state="active")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_special_characters():
    """Test with special characters in node_id and state."""
    ctx = Context(node_id="@!#$_", state="!@#$%^&*()")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_boolean_node_id():
    """Test with boolean node_id."""
    ctx = Context(node_id=True, state="active")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_float_node_id():
    """Test with float node_id."""
    ctx = Context(node_id=3.14159, state="pi")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_state_is_list():
    """Test with state as a list."""
    ctx = Context(node_id=7, state=[1,2,3])
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_state_is_dict():
    """Test with state as a dict."""
    ctx = Context(node_id=8, state={"status": "active"})
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_node_id_is_none():
    """Test with node_id as None."""
    ctx = Context(node_id=None, state="unknown")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_state_is_object():
    """Test with state as an object."""
    class StateObj:
        pass
    state_obj = StateObj()
    ctx = Context(node_id=9, state=state_obj)
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_edge_node_id_is_tuple():
    """Test with node_id as a tuple."""
    ctx = Context(node_id=(1,2), state="tuple")
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

# 3. Large Scale Test Cases


def test_large_scale_large_state_object():
    """Test with a large state object (dict with many keys)."""
    large_state = {f"key_{i}": i for i in range(1000)}
    ctx = Context(node_id="large_state", state=large_state)
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_large_scale_long_string_state():
    """Test with a very long string state."""
    long_string = "x" * 1000
    ctx = Context(node_id="long_string", state=long_string)
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

def test_large_scale_state_list():
    """Test with a large list as state."""
    large_list = list(range(1000))
    ctx = Context(node_id="list_state", state=large_list)
    codeflash_output = get_dummy_client(ctx); client = codeflash_output

# 4. Error/Negative Test Cases

def test_error_missing_node_id():
    """Test with context missing node_id attribute."""
    class BadContext:
        def __init__(self, state):
            self.state = state
    ctx = BadContext(state="active")
    with pytest.raises(AttributeError):
        get_dummy_client(ctx)

def test_error_missing_state():
    """Test with context missing state attribute."""
    class BadContext:
        def __init__(self, node_id):
            self.node_id = node_id
    ctx = BadContext(node_id=123)
    with pytest.raises(AttributeError):
        get_dummy_client(ctx)

def test_error_context_is_none():
    """Test with context as None."""
    with pytest.raises(AttributeError):
        get_dummy_client(None)

def test_error_context_is_wrong_type():
    """Test with context as int."""
    with pytest.raises(AttributeError):
        get_dummy_client(42)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest
from simulation.ray_transport.ray_client_proxy_test import get_dummy_client


# function to test
class DummyClient:
    """A simple dummy client for testing purposes."""

    def __init__(self, node_id, state):
        self.node_id = node_id
        self.state = state

    def to_client(self):
        # Returns a representation of itself as a Client.
        # For testing, we'll just return self.
        return self

class Context:
    """A simple context class for testing purposes."""

    def __init__(self, node_id, state):
        self.node_id = node_id
        self.state = state
from simulation.ray_transport.ray_client_proxy_test import get_dummy_client

# unit tests

# --- Basic Test Cases ---

def test_basic_return_type():
    """Test that get_dummy_client returns a DummyClient instance."""
    context = Context(node_id=1, state="ready")
    codeflash_output = get_dummy_client(context); client = codeflash_output

def test_basic_multiple_contexts():
    """Test get_dummy_client with different context values."""
    context1 = Context(node_id=42, state="active")
    context2 = Context(node_id=0, state=None)
    codeflash_output = get_dummy_client(context1); client1 = codeflash_output
    codeflash_output = get_dummy_client(context2); client2 = codeflash_output

def test_basic_string_node_id():
    """Test get_dummy_client with a string node_id."""
    context = Context(node_id="abc", state="idle")
    codeflash_output = get_dummy_client(context); client = codeflash_output

# --- Edge Test Cases ---

def test_edge_none_context():
    """Test get_dummy_client with None as context (should raise AttributeError)."""
    with pytest.raises(AttributeError):
        get_dummy_client(None)

def test_edge_missing_node_id():
    """Test get_dummy_client with context missing node_id attribute."""
    class BadContext:
        def __init__(self, state):
            self.state = state
    bad_context = BadContext(state="missing")
    with pytest.raises(AttributeError):
        get_dummy_client(bad_context)

def test_edge_missing_state():
    """Test get_dummy_client with context missing state attribute."""
    class BadContext:
        def __init__(self, node_id):
            self.node_id = node_id
    bad_context = BadContext(node_id=123)
    with pytest.raises(AttributeError):
        get_dummy_client(bad_context)

def test_edge_node_id_types():
    """Test get_dummy_client with various node_id types."""
    for node_id in [0, -1, 1.5, True, False, [1,2], (3,4), {5:6}, None]:
        context = Context(node_id=node_id, state="edge")
        codeflash_output = get_dummy_client(context); client = codeflash_output

def test_edge_state_types():
    """Test get_dummy_client with various state types."""
    for state in ["", "running", 0, 1.2, False, True, [], {}, None]:
        context = Context(node_id="edge", state=state)
        codeflash_output = get_dummy_client(context); client = codeflash_output

def test_edge_to_client_returns_self():
    """Test that DummyClient.to_client() returns self (identity)."""
    context = Context(node_id=99, state="test")
    codeflash_output = get_dummy_client(context); client = codeflash_output

# --- Large Scale Test Cases ---


def test_large_scale_long_string_state():
    """Test get_dummy_client with a very long string for state."""
    long_state = "x" * 1000
    context = Context(node_id=55, state=long_state)
    codeflash_output = get_dummy_client(context); client = codeflash_output

def test_large_scale_large_dict_state():
    """Test get_dummy_client with a large dict as state."""
    large_dict = {str(i): i for i in range(1000)}
    context = Context(node_id="large_dict", state=large_dict)
    codeflash_output = get_dummy_client(context); client = codeflash_output


def test_mutation_wrong_node_id():
    """Test that changing node_id in get_dummy_client breaks the test."""
    class MutatedContext(Context):
        pass
    context = MutatedContext(node_id=123, state="mutated")
    codeflash_output = get_dummy_client(context); client = codeflash_output

def test_mutation_wrong_state():
    """Test that changing state in get_dummy_client breaks the test."""
    context = Context(node_id="mutation", state="original")
    codeflash_output = get_dummy_client(context); client = codeflash_output

# --- Determinism Test ---

def test_determinism_same_input_same_output():
    """Test that get_dummy_client returns equivalent clients for same input."""
    context = Context(node_id=77, state="deterministic")
    codeflash_output = get_dummy_client(context); client1 = codeflash_output
    codeflash_output = get_dummy_client(context); client2 = codeflash_output

# --- Readability and Clean Code Guard ---

def test_readability_and_clean_code():
    """Test that get_dummy_client works with readable, named arguments."""
    context = Context(node_id="readable", state="clean")
    codeflash_output = get_dummy_client(context); client = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-get_dummy_client-mhcah2zz and push.

Codeflash

**Explanation of Optimizations:**

1. **`client/numpy_client.py`:**
   - **Optimization:** Cached the wrapper class for each unique type of `NumPyClient` to avoid repeated execution of `type(...)` and lookups.
   - **Performance Impact:** Significantly reduces overhead for repeated calls to `to_client()` on instances of the same class, especially when called hundreds of times, by reusing the constructed wrapper class rather than recreating it each call.
   - **Other:** All logic, error handling, and output are behavior-preserved per the critical requirements.

2. **`simulation/ray_transport/ray_client_proxy_test.py`:**
   - No further optimization required; function is a single constructor call and delegation. No opportunity to optimize runtime without changing signatures or behavior.

---
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 29, 2025 17:48
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 29, 2025
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