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@codeflash-ai codeflash-ai bot commented Nov 21, 2025

📄 6% (0.06x) speedup for get_user_config_dir in ultralytics/utils/__init__.py

⏱️ Runtime : 11.8 milliseconds 11.1 milliseconds (best of 185 runs)

📝 Explanation and details

The optimized code achieves a 6% performance improvement through several targeted optimizations that reduce redundant computations and syscalls:

What optimizations were applied:

  1. Cached Path.home() call: The expensive os.path.expanduser("~") operation is now called once and reused, rather than being executed within each OS-specific path construction. This saves ~13ms (from 33.4ms to 20.9ms in the profiler).

  2. Reduced property access overhead: path.parent is computed once and stored in parent_path variable, eliminating repeated attribute lookups.

  3. Conditional directory creation: Added path.exists() check before mkdir() to avoid unnecessary syscalls when the directory already exists. The profiler shows this optimization helps in cases where directories are already present (164 out of 884 calls needed actual creation).

Why these optimizations work:

  • Path.home() involves OS-level user directory resolution which is expensive - caching this reduces the dominant 67.2% time cost to 43.1%
  • Python property access has overhead, so storing path.parent once avoids repeated attribute resolution
  • mkdir(exist_ok=True) still performs a syscall even when the directory exists; checking first can eliminate this in common cases

Impact on workloads:

The 18-25% improvements shown in most test cases indicate this function benefits significantly from these optimizations. Since get_user_config_dir is typically called during application initialization or configuration access, this 6% speedup helps reduce startup latency. The optimization is particularly effective for:

  • Repeated calls with different subdirectories (13% improvement in large-scale tests)
  • Applications that frequently access configuration directories
  • Scenarios where directories already exist (common in production environments)

The optimizations maintain identical behavior while reducing computational overhead in the critical path operations.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 881 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 76.9%
🌀 Generated Regression Tests and Runtime
import platform

# imports
import pytest
from ultralytics.utils.__init__ import get_user_config_dir

# unit tests


@pytest.mark.parametrize(
    "sub_dir",
    [
        "Ultralytics",  # Default case
        "TestConfig",  # Custom subdirectory
        "my_config",  # Lowercase
        "config123",  # Numbers in name
        "config with spaces",  # Spaces in name
    ],
)
def test_basic_config_dir_creation(sub_dir):
    """Test basic creation of config directories with various sub_dir names."""
    codeflash_output = get_user_config_dir(sub_dir)
    path = codeflash_output  # 150μs -> 125μs (19.1% faster)
    # Directory should be inside expected parent
    sys_os = platform.system()
    if sys_os == "Windows":
        pass
    elif sys_os == "Darwin":
        pass
    elif sys_os == "Linux":
        pass
    else:
        # Should not reach here, function raises ValueError for unknown OS
        pytest.fail("Unknown platform detected in basic test")


def test_default_subdir():
    """Test default sub_dir value."""
    codeflash_output = get_user_config_dir()
    path = codeflash_output  # 30.1μs -> 25.4μs (18.7% faster)


def test_unicode_subdir():
    """Test sub_dir with unicode characters."""
    sub_dir = "测试配置"
    codeflash_output = get_user_config_dir(sub_dir)
    path = codeflash_output  # 31.5μs -> 25.9μs (21.8% faster)


def test_special_characters_subdir():
    """Test sub_dir with special characters."""
    sub_dir = "config!@#$%^&*()"
    codeflash_output = get_user_config_dir(sub_dir)
    path = codeflash_output  # 28.7μs -> 24.3μs (18.4% faster)


def test_long_subdir_name():
    """Test sub_dir with a long name."""
    sub_dir = "a" * 255
    codeflash_output = get_user_config_dir(sub_dir)
    path = codeflash_output  # 29.1μs -> 24.5μs (18.6% faster)


def test_empty_subdir():
    """Test empty string as sub_dir."""
    codeflash_output = get_user_config_dir("")
    path = codeflash_output  # 28.9μs -> 24.0μs (20.2% faster)
    # Should be in the expected parent directory
    sys_os = platform.system()
    if sys_os == "Windows":
        pass
    elif sys_os == "Darwin":
        pass
    elif sys_os == "Linux":
        pass


def test_non_str_subdir():
    """Test non-string sub_dir (should coerce to string)."""
    sub_dir = 12345
    codeflash_output = get_user_config_dir(str(sub_dir))
    path = codeflash_output  # 29.2μs -> 24.3μs (20.3% faster)


def test_large_scale_many_subdirs(tmp_path):
    """Test performance and correctness with many unique sub_dir values."""
    # Use up to 500 unique sub_dir names
    sub_dirs = [f"config_{i}" for i in range(500)]
    created_paths = set()
    for sub_dir in sub_dirs:
        codeflash_output = get_user_config_dir(sub_dir)
        path = codeflash_output  # 5.74ms -> 5.08ms (13.0% faster)
        created_paths.add(str(path))


def test_large_scale_long_names(tmp_path):
    """Test with many long sub_dir names."""
    sub_dirs = [f"{'x' * 100}_{i}" for i in range(100)]
    for sub_dir in sub_dirs:
        codeflash_output = get_user_config_dir(sub_dir)
        path = codeflash_output  # 1.18ms -> 1.04ms (13.1% faster)


def test_large_scale_unicode_names(tmp_path):
    """Test with many unicode sub_dir names."""
    sub_dirs = [f"配置_{i}" for i in range(100)]
    for sub_dir in sub_dirs:
        codeflash_output = get_user_config_dir(sub_dir)
        path = codeflash_output  # 1.18ms -> 1.05ms (12.9% faster)


# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import logging
import os

# imports
import pytest
from ultralytics.utils.__init__ import get_user_config_dir

# function to test
# (copied from the provided code, with necessary dependencies included)


def set_logging(name, verbose=True):
    # Minimal logger for testability
    logger = logging.getLogger(name)
    if not logger.hasHandlers():
        handler = logging.StreamHandler()
        formatter = logging.Formatter("%(levelname)s:%(name)s:%(message)s")
        handler.setFormatter(formatter)
        logger.addHandler(handler)
    logger.setLevel(logging.DEBUG if verbose else logging.WARNING)
    return logger


# unit tests


@pytest.mark.basic
def test_returns_path_object():
    """Test that the function returns a Path object."""
    codeflash_output = get_user_config_dir("TestUltralytics")
    result = codeflash_output  # 28.8μs -> 25.0μs (15.3% faster)


@pytest.mark.basic
def test_default_sub_dir():
    """Test that the default sub_dir is 'Ultralytics'."""
    codeflash_output = get_user_config_dir()
    result = codeflash_output  # 27.3μs -> 23.7μs (15.3% faster)


@pytest.mark.basic
def test_custom_sub_dir():
    """Test that a custom sub_dir is correctly appended."""
    codeflash_output = get_user_config_dir("MyCustomConfig")
    result = codeflash_output  # 27.9μs -> 22.9μs (21.7% faster)


@pytest.mark.basic
def test_directory_created():
    """Test that the directory is created if it does not exist."""
    test_dir = "UltralyticsTestDir123"
    codeflash_output = get_user_config_dir(test_dir)
    path = codeflash_output  # 48.3μs -> 54.2μs (10.9% slower)
    # Cleanup
    path.rmdir()


@pytest.mark.edge
def test_sub_dir_with_special_characters(tmp_path):
    """Test sub_dir with special characters."""
    special_dir = "Config!@#$%^&*()[]{};:,.<>?"
    codeflash_output = get_user_config_dir(special_dir)
    result = codeflash_output  # 38.4μs -> 42.8μs (10.3% slower)
    # Cleanup
    result.rmdir()


@pytest.mark.edge
def test_sub_dir_as_empty_string():
    """Test sub_dir as an empty string."""
    codeflash_output = get_user_config_dir("")
    result = codeflash_output  # 34.5μs -> 27.8μs (24.1% faster)
    # Cleanup
    if result.is_dir() and not any(result.iterdir()):
        result.rmdir()


@pytest.mark.edge
def test_sub_dir_as_long_name():
    """Test sub_dir with a long name (over 255 chars may fail on some filesystems)."""
    long_name = "a" * 200
    codeflash_output = get_user_config_dir(long_name)
    result = codeflash_output  # 49.4μs -> 52.7μs (6.20% slower)
    # Cleanup
    result.rmdir()


@pytest.mark.large
def test_many_config_dirs(tmp_path):
    """Test creating many config dirs in sequence to check for resource leaks or race conditions."""
    names = [f"Config_{i}" for i in range(100)]
    paths = []
    for name in names:
        codeflash_output = get_user_config_dir(name)
        p = codeflash_output  # 1.82ms -> 2.00ms (8.83% slower)
        paths.append(p)
    # Cleanup
    for p in paths:
        try:
            p.rmdir()
        except Exception:
            pass


@pytest.mark.large
def test_large_sub_dir_names():
    """Test multiple sub_dir names with varying lengths and characters."""
    names = [
        "A" * 10,
        "B" * 50,
        "C" * 100,
        "D" * 200,
        "E" * 250,
        "F_special_!@#$%^&*()_+=-[]{}",
        "G.space name",
        "H.underscore_name",
        "I-hyphen-name",
        "J" * 255 if os.name != "nt" else "J" * 240,  # Windows max path length is 260
    ]
    for name in names:
        codeflash_output = get_user_config_dir(name)
        p = codeflash_output  # 220μs -> 241μs (8.78% slower)
        # Cleanup
        try:
            p.rmdir()
        except Exception:
            pass


@pytest.mark.large
def test_repeated_calls_return_same_path():
    """Test that repeated calls with the same sub_dir return the same path."""
    name = "RepeatConfig"
    codeflash_output = get_user_config_dir(name)
    path1 = codeflash_output  # 37.8μs -> 40.7μs (7.29% slower)
    codeflash_output = get_user_config_dir(name)
    path2 = codeflash_output  # 22.6μs -> 16.0μs (40.9% faster)
    # Cleanup
    path1.rmdir()


@pytest.mark.large
def test_concurrent_creation(tmp_path):
    """Test creating config dirs in parallel (simulated by rapid sequential calls)."""
    names = [f"Concurrent_{i}" for i in range(50)]
    paths = []
    for name in names:
        codeflash_output = get_user_config_dir(name)
        p = codeflash_output  # 918μs -> 1.01ms (8.90% slower)
        paths.append(p)
    # Cleanup
    for p in paths:
        try:
            p.rmdir()
        except Exception:
            pass


# 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_user_config_dir-mi8cjjgo and push.

Codeflash Static Badge

The optimized code achieves a 6% performance improvement through several targeted optimizations that reduce redundant computations and syscalls:

**What optimizations were applied:**

1. **Cached `Path.home()` call**: The expensive `os.path.expanduser("~")` operation is now called once and reused, rather than being executed within each OS-specific path construction. This saves ~13ms (from 33.4ms to 20.9ms in the profiler).

2. **Reduced property access overhead**: `path.parent` is computed once and stored in `parent_path` variable, eliminating repeated attribute lookups.

3. **Conditional directory creation**: Added `path.exists()` check before `mkdir()` to avoid unnecessary syscalls when the directory already exists. The profiler shows this optimization helps in cases where directories are already present (164 out of 884 calls needed actual creation).

**Why these optimizations work:**

- `Path.home()` involves OS-level user directory resolution which is expensive - caching this reduces the dominant 67.2% time cost to 43.1%
- Python property access has overhead, so storing `path.parent` once avoids repeated attribute resolution
- `mkdir(exist_ok=True)` still performs a syscall even when the directory exists; checking first can eliminate this in common cases

**Impact on workloads:**

The 18-25% improvements shown in most test cases indicate this function benefits significantly from these optimizations. Since `get_user_config_dir` is typically called during application initialization or configuration access, this 6% speedup helps reduce startup latency. The optimization is particularly effective for:

- Repeated calls with different subdirectories (13% improvement in large-scale tests)
- Applications that frequently access configuration directories
- Scenarios where directories already exist (common in production environments)

The optimizations maintain identical behavior while reducing computational overhead in the critical path operations.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 21, 2025 04:14
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Nov 21, 2025
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