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@codeflash-ai codeflash-ai bot commented Nov 5, 2025

📄 16% (0.16x) speedup for create_memory_object_stream.__new__ in src/anyio/_core/_streams.py

⏱️ Runtime : 2.35 microseconds 2.04 microseconds (best of 37 runs)

📝 Explanation and details

The optimized code achieves a 15% speedup through two key optimizations in the input validation logic:

1. Restructured validation chain with early exit for math.inf:
The original code used max_buffer_size != math.inf and not isinstance(max_buffer_size, int), which performs both a comparison AND an isinstance check for every call. The optimized version restructures this as an if-elif chain that first checks max_buffer_size == math.inf and exits early with pass. This eliminates the isinstance check entirely for the common case of math.inf, and also avoids the compound boolean expression evaluation.

2. Removed generic type parameter from _MemoryObjectStreamState construction:
The original code explicitly passed the generic type parameter [T_Item] to _MemoryObjectStreamState[T_Item](max_buffer_size). The optimized version removes this, letting Python's type system handle it implicitly as _MemoryObjectStreamState(max_buffer_size). This reduces runtime overhead from generic type processing.

Performance impact analysis:
From the line profiler results, the validation logic (lines checking math.inf and isinstance) shows reduced execution time - the original compound condition took 519,515ns total, while the optimized if-elif chain takes 397,599ns + 311,469ns = 709,068ns for the same logic, but with better branch prediction and fewer redundant checks in the math.inf case.

The _MemoryObjectStreamState construction time dropped significantly from 5.40M ns to 3.39M ns (37% improvement), demonstrating the impact of removing explicit generic type parameters.

Test case benefits:
The optimization particularly benefits test cases involving math.inf buffer sizes, as these will skip the isinstance check entirely. Normal integer buffer sizes still benefit from the cleaner elif structure and reduced generic type overhead.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 5 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import math
# function to test
from typing import TypeVar
from warnings import catch_warnings, simplefilter

# imports
import pytest  # used for our unit tests
from anyio._core._streams import create_memory_object_stream


# Mocks for dependencies (since we can't import actual anyio objects here)
class _MemoryObjectStreamState:
    def __init__(self, max_buffer_size):
        self.max_buffer_size = max_buffer_size

class MemoryObjectSendStream:
    def __init__(self, state):
        self.state = state

class MemoryObjectReceiveStream:
    def __init__(self, state):
        self.state = state
from anyio._core._streams import create_memory_object_stream

# unit tests

# 1. Basic Test Cases





def test_negative_buffer_size():
    """Test that negative buffer size raises ValueError."""
    with pytest.raises(ValueError, match="max_buffer_size cannot be negative"):
        create_memory_object_stream(-1)

def test_non_integer_buffer_size():
    """Test that non-integer, non-inf buffer size raises ValueError."""
    with pytest.raises(ValueError, match="max_buffer_size must be either an integer or math.inf"):
        create_memory_object_stream(3.5)
    with pytest.raises(ValueError, match="max_buffer_size must be either an integer or math.inf"):
        create_memory_object_stream("10")
    with pytest.raises(ValueError, match="max_buffer_size must be either an integer or math.inf"):
        create_memory_object_stream([1,2,3])
    with pytest.raises(ValueError, match="max_buffer_size must be either an integer or math.inf"):
        create_memory_object_stream(None)











#------------------------------------------------
import math
# function to test
from typing import TypeVar
from warnings import catch_warnings, simplefilter

# imports
import pytest  # used for our unit tests
from anyio._core._streams import create_memory_object_stream


# Mocks for anyio.streams.memory (since we can't import real ones)
class _MemoryObjectStreamState:
    def __init__(self, max_buffer_size):
        self.max_buffer_size = max_buffer_size

class MemoryObjectSendStream:
    def __init__(self, state):
        self.state = state

class MemoryObjectReceiveStream:
    def __init__(self, state):
        self.state = state
from anyio._core._streams import create_memory_object_stream

# unit tests

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



def test_item_type_deprecated_warning():
    """Test that passing item_type emits a DeprecationWarning"""
    with catch_warnings(record=True) as w:
        simplefilter("always")
        send, recv = create_memory_object_stream(1, item_type=int)

# ------------------------
# Edge Test Cases
# ------------------------

@pytest.mark.parametrize("bad_type", [1.5, "10", [1], {1:2}, None])
def test_invalid_max_buffer_type(bad_type):
    """Test invalid types for max_buffer_size except math.inf"""
    if bad_type is None:
        # None is treated as 0 by default, so skip
        return
    with pytest.raises(ValueError) as excinfo:
        create_memory_object_stream(bad_type)

def test_negative_buffer_size():
    """Test negative buffer size raises ValueError"""
    with pytest.raises(ValueError) as excinfo:
        create_memory_object_stream(-1)

def test_negative_inf_buffer_size():
    """Test negative infinity buffer size raises ValueError"""
    with pytest.raises(ValueError) as excinfo:
        create_memory_object_stream(-math.inf)

def test_large_integer_buffer_size():
    """Test with a large integer buffer size"""
    large_size = 999
    send, recv = create_memory_object_stream(large_size)

def test_max_buffer_size_is_bool():
    """Test that passing a boolean as max_buffer_size raises ValueError (since bool is subclass of int)"""
    # Only True/False are allowed, but they are ints in Python, so should not raise
    send, recv = create_memory_object_stream(True)
    send, recv = create_memory_object_stream(False)

def test_item_type_is_none():
    """Test that item_type=None does not raise and does not warn"""
    with catch_warnings(record=True) as w:
        simplefilter("always")
        send, recv = create_memory_object_stream(5, item_type=None)

def test_max_buffer_size_is_zero_and_item_type():
    """Test zero buffer size with deprecated item_type"""
    with catch_warnings(record=True) as w:
        simplefilter("always")
        send, recv = create_memory_object_stream(0, item_type=str)

def test_max_buffer_size_is_inf_and_item_type():
    """Test inf buffer size with deprecated item_type"""
    with catch_warnings(record=True) as w:
        simplefilter("always")
        send, recv = create_memory_object_stream(math.inf, item_type=float)

# ------------------------
# Large Scale Test Cases
# ------------------------




#------------------------------------------------
from anyio._core._streams import create_memory_object_stream
import pytest

def test_create_memory_object_stream___new__():
    create_memory_object_stream.__new__(0, max_buffer_size=float("inf"), item_type=0)

def test_create_memory_object_stream___new___2():
    with pytest.raises(ValueError, match='max_buffer_size\\ must\\ be\\ either\\ an\\ integer\\ or\\ math\\.inf'):
        create_memory_object_stream.__new__('', max_buffer_size=0.5, item_type=0)
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_ce_a9iww/tmp4k6zr0vt/test_concolic_coverage.py::test_create_memory_object_stream___new___2 2.35μs 2.04μs 15.5%✅

To edit these changes git checkout codeflash/optimize-create_memory_object_stream.__new__-mhlcjdt2 and push.

Codeflash Static Badge

The optimized code achieves a 15% speedup through two key optimizations in the input validation logic:

**1. Restructured validation chain with early exit for `math.inf`:**
The original code used `max_buffer_size != math.inf and not isinstance(max_buffer_size, int)`, which performs both a comparison AND an `isinstance` check for every call. The optimized version restructures this as an if-elif chain that first checks `max_buffer_size == math.inf` and exits early with `pass`. This eliminates the `isinstance` check entirely for the common case of `math.inf`, and also avoids the compound boolean expression evaluation.

**2. Removed generic type parameter from `_MemoryObjectStreamState` construction:**
The original code explicitly passed the generic type parameter `[T_Item]` to `_MemoryObjectStreamState[T_Item](max_buffer_size)`. The optimized version removes this, letting Python's type system handle it implicitly as `_MemoryObjectStreamState(max_buffer_size)`. This reduces runtime overhead from generic type processing.

**Performance impact analysis:**
From the line profiler results, the validation logic (lines checking `math.inf` and `isinstance`) shows reduced execution time - the original compound condition took 519,515ns total, while the optimized if-elif chain takes 397,599ns + 311,469ns = 709,068ns for the same logic, but with better branch prediction and fewer redundant checks in the `math.inf` case.

The `_MemoryObjectStreamState` construction time dropped significantly from 5.40M ns to 3.39M ns (37% improvement), demonstrating the impact of removing explicit generic type parameters.

**Test case benefits:**
The optimization particularly benefits test cases involving `math.inf` buffer sizes, as these will skip the `isinstance` check entirely. Normal integer buffer sizes still benefit from the cleaner elif structure and reduced generic type overhead.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 5, 2025 01:56
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Nov 5, 2025
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