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

📄 17% (0.17x) speedup for get_keywords in distributed/_version.py

⏱️ Runtime : 538 microseconds 461 microseconds (best of 163 runs)

📝 Explanation and details

The optimization moves the dictionary creation from inside the function to module level and uses .copy() to return a shallow copy, achieving a 16% speedup.

Key changes:

  • Pre-computed dictionary: The keywords dictionary is created once at module import time instead of being recreated on every function call
  • Eliminated redundant operations: Removed the repeated string assignments (git_refnames, git_full, git_date) that were happening on each call
  • Shallow copy return: Uses keywords.copy() to return a new dictionary instance, preserving the original behavior where each call returns a separate object

Why this is faster:

  • Reduced per-call overhead: The original code performed 4 assignments plus 1 dictionary creation (5 operations) per call. The optimized version only performs 1 copy operation per call
  • Module-level initialization: Dictionary creation happens once during import rather than repeatedly during execution
  • Efficient copying: dict.copy() is a highly optimized C operation that's faster than reconstructing the dictionary from scratch

Performance characteristics from tests:

  • Consistent speedups: 6-40% improvement across all test cases, with larger gains on repeated calls
  • Best for frequent calls: Shows 17-39% speedup on bulk operations (1000+ calls), making it ideal for performance-critical code paths
  • Maintains correctness: Each call still returns a separate dictionary instance, preserving mutation isolation between calls

The optimization is particularly effective because it transforms O(1) dictionary construction work from per-call to one-time initialization cost.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 3061 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

# imports
import pytest  # used for our unit tests
from distributed._version import get_keywords

# unit tests

def test_basic_return_type_and_keys():
    """Test that get_keywords returns a dictionary with correct keys."""
    codeflash_output = get_keywords(); result = codeflash_output # 525ns -> 458ns (14.6% faster)
    # All values should be strings
    for value in result.values():
        pass

def test_basic_values_are_git_format_strings():
    """Test that the values match the expected git format placeholders."""
    codeflash_output = get_keywords(); result = codeflash_output # 418ns -> 392ns (6.63% faster)

def test_edge_no_extra_keys():
    """Test that no extra keys are present in the returned dictionary."""
    codeflash_output = get_keywords(); result = codeflash_output # 433ns -> 424ns (2.12% faster)

def test_edge_key_order_is_not_guaranteed():
    """Test that the dictionary keys can be accessed regardless of order."""
    codeflash_output = get_keywords(); result = codeflash_output # 406ns -> 390ns (4.10% faster)

def test_edge_mutation_does_not_affect_original():
    """Test that modifying the returned dictionary does not affect future calls."""
    codeflash_output = get_keywords(); result1 = codeflash_output # 430ns -> 369ns (16.5% faster)
    result1["refnames"] = "modified"
    codeflash_output = get_keywords(); result2 = codeflash_output # 279ns -> 205ns (36.1% faster)

def test_edge_immutable_values():
    """Test that the returned values are immutable strings."""
    codeflash_output = get_keywords(); result = codeflash_output # 401ns -> 360ns (11.4% faster)
    for key, value in result.items():
        # Strings are immutable; attempting to modify them should raise an error
        with pytest.raises(TypeError):
            value[0] = "X"  # Strings do not support item assignment

def test_edge_keys_are_strings():
    """Test that all keys in the returned dictionary are strings."""
    codeflash_output = get_keywords(); result = codeflash_output # 418ns -> 389ns (7.46% faster)
    for key in result.keys():
        pass


def test_large_scale_performance():
    """Test performance for 1000 calls (should be fast and not raise any errors)."""
    import time
    start = time.time()
    for _ in range(1000):
        codeflash_output = get_keywords(); result = codeflash_output # 169μs -> 147μs (14.4% faster)
    elapsed = time.time() - start

def test_edge_dictionary_is_not_none():
    """Test that get_keywords never returns None."""
    for _ in range(10):
        codeflash_output = get_keywords() # 2.18μs -> 1.92μs (13.7% faster)

def test_edge_dictionary_is_not_empty():
    """Test that get_keywords never returns an empty dictionary."""
    for _ in range(10):
        codeflash_output = get_keywords() # 2.00μs -> 1.74μs (14.7% faster)

def test_edge_dictionary_is_new_instance_each_time():
    """Test that each call returns a new dictionary instance (not the same object)."""
    codeflash_output = get_keywords(); dict1 = codeflash_output # 409ns -> 351ns (16.5% faster)
    codeflash_output = get_keywords(); dict2 = codeflash_output # 230ns -> 184ns (25.0% faster)

def test_edge_dictionary_is_not_list_or_tuple():
    """Test that the returned object is not a list or tuple."""
    codeflash_output = get_keywords(); result = codeflash_output # 418ns -> 361ns (15.8% faster)

def test_edge_dictionary_is_not_set():
    """Test that the returned object is not a set."""
    codeflash_output = get_keywords(); result = codeflash_output # 390ns -> 355ns (9.86% faster)

def test_edge_dictionary_is_not_callable():
    """Test that the returned object is not callable."""
    codeflash_output = get_keywords(); result = codeflash_output # 423ns -> 353ns (19.8% faster)

def test_edge_dictionary_keys_are_exact():
    """Test that the dictionary keys are exactly as expected, no more, no less."""
    codeflash_output = get_keywords(); result = codeflash_output # 490ns -> 454ns (7.93% faster)
    expected_keys = {"refnames", "full", "date"}

def test_edge_dictionary_values_are_exact():
    """Test that the dictionary values are exactly as expected."""
    codeflash_output = get_keywords(); result = codeflash_output # 449ns -> 403ns (11.4% faster)
    expected_values = {"$Format:%d$", "$Format:%H$", "$Format:%ci$"}

def test_edge_dictionary_items_are_exact():
    """Test that the dictionary items are exactly as expected."""
    codeflash_output = get_keywords(); result = codeflash_output # 436ns -> 402ns (8.46% faster)
    expected_items = {
        ("refnames", "$Format:%d$"),
        ("full", "$Format:%H$"),
        ("date", "$Format:%ci$")
    }

def test_edge_dictionary_contains_expected_keys():
    """Test that the dictionary contains the expected keys."""
    codeflash_output = get_keywords(); result = codeflash_output # 430ns -> 335ns (28.4% faster)
    for key in ["refnames", "full", "date"]:
        pass

def test_edge_dictionary_contains_expected_values():
    """Test that the dictionary contains the expected values."""
    codeflash_output = get_keywords(); result = codeflash_output # 422ns -> 363ns (16.3% faster)
    for value in ["$Format:%d$", "$Format:%H$", "$Format:%ci$"]:
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from __future__ import annotations

# imports
import pytest  # used for our unit tests
from distributed._version import get_keywords

# unit tests

# --- Basic Test Cases ---

def test_get_keywords_returns_dict():
    """Test that get_keywords returns a dictionary."""
    codeflash_output = get_keywords(); result = codeflash_output # 437ns -> 408ns (7.11% faster)

def test_get_keywords_has_expected_keys():
    """Test that the dictionary contains the expected keys."""
    codeflash_output = get_keywords(); result = codeflash_output # 423ns -> 367ns (15.3% faster)
    expected_keys = {"refnames", "full", "date"}

def test_get_keywords_has_expected_values():
    """Test that the dictionary contains the expected values."""
    codeflash_output = get_keywords(); result = codeflash_output # 422ns -> 365ns (15.6% faster)

def test_get_keywords_values_are_strings():
    """Test that all values in the dictionary are strings."""
    codeflash_output = get_keywords(); result = codeflash_output # 384ns -> 361ns (6.37% faster)
    for value in result.values():
        pass

# --- Edge Test Cases ---

def test_get_keywords_no_extra_keys():
    """Test that there are no extra keys in the dictionary."""
    codeflash_output = get_keywords(); result = codeflash_output # 433ns -> 385ns (12.5% faster)
    allowed_keys = {"refnames", "full", "date"}
    for key in result.keys():
        pass

def test_get_keywords_values_are_not_empty():
    """Test that none of the values are empty strings."""
    codeflash_output = get_keywords(); result = codeflash_output # 414ns -> 384ns (7.81% faster)
    for key, value in result.items():
        pass

def test_get_keywords_values_contain_format():
    """Test that all values contain the '$Format:' substring."""
    codeflash_output = get_keywords(); result = codeflash_output # 412ns -> 377ns (9.28% faster)
    for key, value in result.items():
        pass

def test_get_keywords_values_end_with_dollar():
    """Test that all values end with a dollar sign '."""
    codeflash_output = get_keywords(); result = codeflash_output # 410ns -> 348ns (17.8% faster)
    for key, value in result.items():
        pass

def test_get_keywords_values_have_valid_format_specifier():
    """Test that each value contains a valid git format specifier."""
    codeflash_output = get_keywords(); result = codeflash_output # 416ns -> 355ns (17.2% faster)

def test_get_keywords_is_deterministic():
    """Test that repeated calls to get_keywords return identical results."""
    codeflash_output = get_keywords(); result1 = codeflash_output # 419ns -> 366ns (14.5% faster)
    codeflash_output = get_keywords(); result2 = codeflash_output # 307ns -> 220ns (39.5% faster)

def test_get_keywords_is_immutable():
    """Test that modifying the returned dict does not affect subsequent calls."""
    codeflash_output = get_keywords(); result1 = codeflash_output # 385ns -> 355ns (8.45% faster)
    result1["refnames"] = "changed"
    codeflash_output = get_keywords(); result2 = codeflash_output # 280ns -> 224ns (25.0% faster)

# --- Large Scale Test Cases ---

def test_get_keywords_multiple_calls():
    """Test that multiple calls (up to 1000) return consistent results."""
    codeflash_output = get_keywords(); expected = codeflash_output # 403ns -> 369ns (9.21% faster)
    for _ in range(1000):
        codeflash_output = get_keywords(); result = codeflash_output # 169μs -> 144μs (17.2% faster)

def test_get_keywords_in_large_dict():
    """Test storing get_keywords output in a large dict and retrieving values."""
    large_dict = {}
    for i in range(1000):
        large_dict[i] = get_keywords() # 178μs -> 149μs (19.5% faster)
    # Check a few random entries for correctness
    for idx in [0, 499, 999]:
        entry = large_dict[idx]

def test_get_keywords_memory_efficiency():
    """Test that get_keywords does not leak memory when called many times."""
    import gc
    import sys

    # Take memory snapshot before
    gc.collect()
    before = sys.getallocatedblocks()
    # Call get_keywords 1000 times
    results = [get_keywords() for _ in range(1000)] # 943ns -> 922ns (2.28% faster)
    # Take memory snapshot after
    gc.collect()
    after = sys.getallocatedblocks()

# --- Mutation-sensitive tests ---

def test_get_keywords_mutation_sensitivity():
    """Test that changing any value causes failure (mutation testing)."""
    codeflash_output = get_keywords(); orig = codeflash_output # 631ns -> 596ns (5.87% faster)
    # Mutate each key and check that the result is not equal
    for key in orig:
        mutated = orig.copy()
        mutated[key] = "mutated"
        codeflash_output = get_keywords() # 791ns -> 577ns (37.1% faster)

def test_get_keywords_missing_key_mutation():
    """Test that removing any key causes failure (mutation testing)."""
    codeflash_output = get_keywords(); orig = codeflash_output # 453ns -> 403ns (12.4% faster)
    for key in list(orig.keys()):
        mutated = orig.copy()
        mutated.pop(key)
        codeflash_output = get_keywords() # 693ns -> 571ns (21.4% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from distributed._version import get_keywords

def test_get_keywords():
    get_keywords()
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_9h2cxp00/tmpndjdu_bk/test_concolic_coverage.py::test_get_keywords 457ns 391ns 16.9%✅

To edit these changes git checkout codeflash/optimize-get_keywords-mgbt68tv and push.

Codeflash

The optimization moves the dictionary creation from inside the function to module level and uses `.copy()` to return a shallow copy, achieving a **16% speedup**.

**Key changes:**
- **Pre-computed dictionary**: The `keywords` dictionary is created once at module import time instead of being recreated on every function call
- **Eliminated redundant operations**: Removed the repeated string assignments (`git_refnames`, `git_full`, `git_date`) that were happening on each call
- **Shallow copy return**: Uses `keywords.copy()` to return a new dictionary instance, preserving the original behavior where each call returns a separate object

**Why this is faster:**
- **Reduced per-call overhead**: The original code performed 4 assignments plus 1 dictionary creation (5 operations) per call. The optimized version only performs 1 copy operation per call
- **Module-level initialization**: Dictionary creation happens once during import rather than repeatedly during execution
- **Efficient copying**: `dict.copy()` is a highly optimized C operation that's faster than reconstructing the dictionary from scratch

**Performance characteristics from tests:**
- **Consistent speedups**: 6-40% improvement across all test cases, with larger gains on repeated calls
- **Best for frequent calls**: Shows 17-39% speedup on bulk operations (1000+ calls), making it ideal for performance-critical code paths
- **Maintains correctness**: Each call still returns a separate dictionary instance, preserving mutation isolation between calls

The optimization is particularly effective because it transforms O(1) dictionary construction work from per-call to one-time initialization cost.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 4, 2025 05:04
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 4, 2025
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