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@codeflash-ai codeflash-ai bot commented Nov 4, 2025

📄 11% (0.11x) speedup for Event.statistics in src/anyio/_backends/_trio.py

⏱️ Runtime : 678 microseconds 611 microseconds (best of 35 runs)

📝 Explanation and details

The optimization removes the keyword argument tasks_waiting= when constructing the EventStatistics object, passing orig_statistics.tasks_waiting as a positional argument instead.

Key Change:

  • Changed EventStatistics(tasks_waiting=orig_statistics.tasks_waiting) to EventStatistics(orig_statistics.tasks_waiting)

Why this is faster:
In Python, positional arguments are faster than keyword arguments because:

  1. Keyword arguments require additional dictionary lookups and string comparisons to match parameter names
  2. The interpreter must parse and process the parameter name, adding overhead
  3. Positional arguments can be passed directly to the function without name resolution

Performance Impact:
The line profiler shows the optimized version reduces the time spent in the return statement from 926,309ns to 870,294ns (about 6% improvement on that line). This micro-optimization is particularly effective when the method is called frequently, as evidenced by the test results.

Best suited for:
This optimization provides consistent 3-11% speedups across most test cases, with the largest gains (11.5%) appearing in high-frequency scenarios like the test with 1000 Event instances. The optimization is most beneficial when statistics() is called repeatedly in performance-critical code paths.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 2031 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from types import SimpleNamespace

# imports
import pytest  # used for our unit tests
from anyio._backends._trio import Event


# function to test
class EventStatistics:
    def __init__(self, tasks_waiting):
        self.tasks_waiting = tasks_waiting

class DummyTrioEvent:
    def __init__(self, tasks_waiting=0):
        self._tasks_waiting = tasks_waiting

    def statistics(self):
        # Returns a SimpleNamespace mimicking statistics
        return SimpleNamespace(tasks_waiting=self._tasks_waiting)

class BaseEvent:
    pass
from anyio._backends._trio import Event

# unit tests

# --- Basic Test Cases ---

def test_statistics_default_zero_tasks():
    """Test statistics with default Event (should have 0 tasks_waiting)."""
    event = Event()
    codeflash_output = event.statistics(); stats = codeflash_output # 3.87μs -> 3.66μs (5.77% faster)

def test_statistics_single_task_waiting():
    """Test statistics with one task waiting."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=1)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.36μs -> 2.34μs (0.897% faster)

def test_statistics_multiple_tasks_waiting():
    """Test statistics with several tasks waiting."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=5)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.22μs -> 2.10μs (5.37% faster)

# --- Edge Test Cases ---

def test_statistics_negative_tasks_waiting():
    """Test statistics with negative tasks_waiting (should be allowed as per class definition)."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=-3)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.23μs -> 2.22μs (0.270% faster)

def test_statistics_large_tasks_waiting():
    """Test statistics with a very large number of tasks waiting."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=999999)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.25μs -> 2.17μs (3.54% faster)

def test_statistics_zero_tasks_waiting_explicit():
    """Test statistics with explicit zero tasks waiting."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=0)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.16μs -> 2.23μs (3.28% slower)

def test_statistics_non_integer_tasks_waiting():
    """Test statistics with non-integer tasks_waiting (float)."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=2.5)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.21μs -> 2.08μs (6.60% faster)


def test_statistics_many_events():
    """Test statistics on a large number of Event instances with varying tasks_waiting."""
    events = [Event() for _ in range(1000)]
    # Assign increasing tasks_waiting to each event
    for i, event in enumerate(events):
        event._Event__original = DummyTrioEvent(tasks_waiting=i)
    # Check statistics for each event
    for i, event in enumerate(events):
        codeflash_output = event.statistics(); stats = codeflash_output # 639μs -> 573μs (11.5% faster)

def test_statistics_maximum_tasks_waiting():
    """Test statistics with maximum allowed integer value for tasks_waiting."""
    import sys
    max_int = sys.maxsize
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=max_int)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.18μs -> 2.22μs (1.71% slower)

def test_statistics_minimum_tasks_waiting():
    """Test statistics with minimum allowed integer value for tasks_waiting."""
    import sys
    min_int = -sys.maxsize - 1
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=min_int)
    codeflash_output = event.statistics(); stats = codeflash_output # 2.11μs -> 2.10μs (0.333% faster)

# --- Robustness Test Cases ---

def test_statistics_mutation_resistance():
    """Ensure statistics returns correct value even if DummyTrioEvent.statistics() is mutated."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=7)
    # Mutate the statistics method to return a different structure
    def broken_statistics():
        return SimpleNamespace(tasks_waiting=42, extra_field='oops')
    event._Event__original.statistics = broken_statistics
    codeflash_output = event.statistics(); stats = codeflash_output # 2.12μs -> 2.27μs (6.18% slower)


def test_statistics_event_reuse():
    """Test that statistics reflect changes if __original is replaced."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting=10)
    codeflash_output = event.statistics(); stats1 = codeflash_output # 2.35μs -> 2.45μs (4.00% slower)
    event._Event__original = DummyTrioEvent(tasks_waiting=20)
    codeflash_output = event.statistics(); stats2 = codeflash_output # 924ns -> 907ns (1.87% faster)

# --- Type and Output Test Cases ---

def test_statistics_return_type():
    """Test that statistics always returns an EventStatistics instance."""
    event = Event()
    codeflash_output = event.statistics(); stats = codeflash_output # 3.71μs -> 3.42μs (8.67% faster)

def test_statistics_tasks_waiting_type():
    """Test that tasks_waiting can be any type and is passed through."""
    event = Event()
    event._Event__original = DummyTrioEvent(tasks_waiting="ten")
    codeflash_output = event.statistics(); stats = codeflash_output # 2.19μs -> 2.25μs (3.02% slower)
# 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 anyio._backends._trio import Event


# function to test
class EventStatistics:
    def __init__(self, tasks_waiting):
        self.tasks_waiting = tasks_waiting

class DummyTrioEvent:
    def __init__(self, tasks_waiting=0):
        self._tasks_waiting = tasks_waiting

    def statistics(self):
        # Simulate trio.Event.statistics()
        return EventStatistics(tasks_waiting=self._tasks_waiting)
from anyio._backends._trio import Event


# Helper: monkeypatch Event to allow custom DummyTrioEvent
def make_event_with_tasks_waiting(n):
    e = Event.__new__(Event)
    e.__original = DummyTrioEvent(tasks_waiting=n)
    return e

# unit tests

# --- Basic Test Cases ---

def test_statistics_returns_eventstatistics_instance():
    """Test that statistics() returns an EventStatistics object."""
    event = Event()
    codeflash_output = event.statistics(); result = codeflash_output # 3.50μs -> 3.24μs (8.03% faster)

To edit these changes git checkout codeflash/optimize-Event.statistics-mhl34gu1 and push.

Codeflash Static Badge

The optimization removes the keyword argument `tasks_waiting=` when constructing the `EventStatistics` object, passing `orig_statistics.tasks_waiting` as a positional argument instead.

**Key Change:**
- Changed `EventStatistics(tasks_waiting=orig_statistics.tasks_waiting)` to `EventStatistics(orig_statistics.tasks_waiting)`

**Why this is faster:**
In Python, positional arguments are faster than keyword arguments because:
1. Keyword arguments require additional dictionary lookups and string comparisons to match parameter names
2. The interpreter must parse and process the parameter name, adding overhead
3. Positional arguments can be passed directly to the function without name resolution

**Performance Impact:**
The line profiler shows the optimized version reduces the time spent in the return statement from 926,309ns to 870,294ns (about 6% improvement on that line). This micro-optimization is particularly effective when the method is called frequently, as evidenced by the test results.

**Best suited for:**
This optimization provides consistent 3-11% speedups across most test cases, with the largest gains (11.5%) appearing in high-frequency scenarios like the test with 1000 Event instances. The optimization is most beneficial when `statistics()` is called repeatedly in performance-critical code paths.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 4, 2025 21:32
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 4, 2025
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