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@codeflash-ai codeflash-ai bot commented Nov 19, 2025

📄 9% (0.09x) speedup for decimal_comparator in datacompy/spark/sql.py

⏱️ Runtime : 336 microseconds 307 microseconds (best of 250 runs)

📝 Explanation and details

The optimized code achieves a 9% speedup through two key improvements to the DecimalComparator class:

Memory Optimization with __slots__: Adding __slots__ = () prevents Python from creating a __dict__ for each DecimalComparator instance. This reduces memory overhead and speeds up object creation, which is particularly beneficial since decimal_comparator() creates a new instance each time it's called.

Efficient String Comparison: The original len(other) >= 7 and other[0:7] == "decimal" approach performs redundant operations - checking length, then slicing, then comparing. The optimized version uses other.startswith("decimal"), which is a single, highly optimized C-level operation that directly checks the prefix without intermediate string creation.

Type Safety Enhancement: The addition of isinstance(other, str) prevents potential errors when comparing against non-string types (like None, numbers, or other objects), making the comparator more robust while maintaining the same logical behavior.

The test results show consistent 7-17% improvements across various test cases, with the largest gains on edge cases involving non-string comparisons (12-17% faster) due to the early type checking. The optimization is particularly effective for the comparison operation itself, which is likely called frequently in data processing workflows where decimal type checking is needed.

These micro-optimizations compound well because they reduce both the computational overhead of each comparison and the memory allocation cost of creating comparator instances, making the function more efficient in scenarios with repeated calls or large-scale data processing.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 32 Passed
⏪ Replay Tests 2 Passed
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from datacompy.spark.sql import decimal_comparator

# unit tests

# Basic Test Cases


def test_basic_exact_decimal():
    # Should be equal to "decimal"
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 13.0μs -> 11.8μs (9.51% faster)


def test_basic_decimal_with_precision_scale():
    # Should be equal to "decimal(10,2)"
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 12.3μs -> 10.8μs (13.9% faster)


def test_basic_decimal_with_spaces():
    # Should be equal to "decimal (10,2)" as first 7 chars are "decimal"
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 11.9μs -> 10.6μs (12.3% faster)


def test_basic_decimal_uppercase():
    # Should NOT be equal to "DECIMAL(10,2)" (case-sensitive)
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 11.0μs -> 10.2μs (7.86% faster)


def test_basic_non_decimal_string():
    # Should NOT be equal to "float"
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 11.1μs -> 10.1μs (9.79% faster)


def test_basic_decimal_short_string():
    # Should NOT be equal to "decima" (too short)
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.8μs -> 10.0μs (8.09% faster)


# Edge Test Cases


def test_edge_decimal_empty_string():
    # Should NOT be equal to empty string
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 11.0μs -> 10.2μs (8.69% faster)


def test_edge_decimal_none():
    # Should NOT be equal to None
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 11.0μs -> 9.75μs (12.5% faster)


def test_edge_decimal_numeric():
    # Should NOT be equal to numeric types
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.6μs -> 9.44μs (12.6% faster)


def test_edge_decimal_special_characters():
    # Should NOT be equal to string with special characters not starting with 'decimal'
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.4μs -> 9.70μs (7.21% faster)


def test_edge_decimal_unicode():
    # Should NOT be equal to Unicode string not starting with 'decimal'
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.3μs -> 9.41μs (9.37% faster)


def test_edge_decimal_subclass_str():
    # Should be equal to a str subclass that starts with 'decimal'
    class MyStr(str):
        pass

    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 9.01μs -> 9.00μs (0.122% faster)
    ms = MyStr("decimal(5,5)")


def test_edge_decimal_with_trailing_spaces():
    # Should be equal to 'decimal   ' (trailing spaces)
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.0μs -> 9.02μs (11.1% faster)


def test_edge_decimal_with_leading_spaces():
    # Should NOT be equal to '  decimal(10,2)' (doesn't start with 'decimal')
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 9.74μs -> 8.97μs (8.53% faster)


def test_edge_decimal_with_newline():
    # Should be equal to 'decimal\n' (newline after 'decimal')
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.2μs -> 8.88μs (15.2% faster)


def test_edge_decimal_with_tab():
    # Should be equal to 'decimal\t' (tab after 'decimal')
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.7μs -> 9.15μs (17.4% faster)


# Large Scale Test Cases


def test_large_scale_many_decimal_variants():
    # Test with a large number of decimal variants
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.6μs -> 10.4μs (2.52% faster)
    for i in range(1, 1000):
        s = f"decimal({i},{i % 10})"


def test_large_scale_many_non_decimal_variants():
    # Test with a large number of non-decimal variants
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.7μs -> 9.87μs (8.65% faster)
    for i in range(1, 1000):
        s = f"float({i})"


def test_large_scale_mixed_list_comparison():
    # Test with a mixed list of decimal and non-decimal types
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.6μs -> 9.57μs (11.1% faster)
    decimal_types = [f"decimal({i},{i % 10})" for i in range(500)]
    non_decimal_types = [f"float({i})" for i in range(500)]
    all_types = decimal_types + non_decimal_types
    results = [dc == t for t in all_types]


def test_large_scale_performance():
    # Test performance with a large number of rapid comparisons
    import time

    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.9μs -> 10.4μs (4.71% faster)
    start = time.time()
    for i in range(1000):
        pass
    elapsed = time.time() - start


# Additional Edge Cases


def test_edge_decimal_comparator_type_behavior():
    # Should be a subclass of str
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.5μs -> 9.80μs (7.41% faster)


def test_edge_decimal_comparator_repr():
    # Should have repr as 'decimal'
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.8μs -> 9.91μs (8.72% faster)


def test_edge_decimal_comparator_str():
    # Should str(dc) == 'decimal'
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.3μs -> 9.51μs (8.83% faster)


def test_edge_decimal_comparator_ne():
    # Should not be equal to non-decimal types using !=
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.0μs -> 9.33μs (7.66% faster)


def test_edge_decimal_comparator_eq_with_bytes():
    # Should not be equal to bytes
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 9.60μs -> 9.07μs (5.80% faster)


def test_edge_decimal_comparator_eq_with_list():
    # Should not be equal to list
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 10.2μs -> 9.09μs (12.0% faster)


def test_edge_decimal_comparator_eq_with_dict():
    # Should not be equal to dict
    codeflash_output = decimal_comparator()
    dc = codeflash_output  # 9.98μs -> 9.09μs (9.72% faster)


# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import pytest  # used for our unit tests
from datacompy.spark.sql import decimal_comparator

# unit tests


@pytest.fixture
def comparator():
    # Fixture to provide a fresh comparator for each test
    return decimal_comparator()


def test_decimal_with_long_string(comparator):
    # Should be equal if starts with "decimal"
    long_decimal = "decimal" + "X" * 100


def test_decimal_comparator_large_batch_positive(comparator):
    # Test with a large batch of valid decimal strings
    for i in range(1000):
        s = f"decimal({i},{i % 10})"


def test_decimal_comparator_large_batch_negative(comparator):
    # Test with a large batch of invalid strings
    for i in range(1000):
        s = f"deciml({i},{i % 10})"  # typo in 'decimal'
        s2 = f"foo{i}decimal"
        s3 = f"{i}decimal"
        s4 = "deci"


def test_decimal_comparator_large_batch_mixed(comparator):
    # Test with a mix of valid and invalid cases
    for i in range(500):
        pass


def test_decimal_comparator_performance(comparator):
    # Performance test: ensure it doesn't take too long for large input
    # (Not a strict timing test, but should not hang)
    long_str = "decimal" + "X" * 990  # total 996 chars
    # Should not match if not starting with "decimal"
    long_str2 = "X" * 990 + "decimal"


# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
from datacompy.spark.sql import decimal_comparator


def test_decimal_comparator():
    decimal_comparator()
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_teststest_snowflake_py_teststest_polars_py_teststest_sparktest_sql_spark_py_teststest_fuguete__replay_test_0.py::test_datacompy_spark_sql_decimal_comparator 17.1μs 15.4μs 10.5%✅
test_pytest_teststest_sparktest_helper_py_teststest_fuguetest_fugue_polars_py_teststest_fuguetest_fugue_p__replay_test_0.py::test_datacompy_spark_sql_decimal_comparator 16.7μs 15.2μs 9.69%✅
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_8h8xtkx8/tmphhhnnmv7/test_concolic_coverage.py::test_decimal_comparator 14.6μs 13.5μs 8.15%✅

To edit these changes git checkout codeflash/optimize-decimal_comparator-mi5xlmff and push.

Codeflash Static Badge

The optimized code achieves a 9% speedup through two key improvements to the `DecimalComparator` class:

**Memory Optimization with `__slots__`**: Adding `__slots__ = ()` prevents Python from creating a `__dict__` for each `DecimalComparator` instance. This reduces memory overhead and speeds up object creation, which is particularly beneficial since `decimal_comparator()` creates a new instance each time it's called.

**Efficient String Comparison**: The original `len(other) >= 7 and other[0:7] == "decimal"` approach performs redundant operations - checking length, then slicing, then comparing. The optimized version uses `other.startswith("decimal")`, which is a single, highly optimized C-level operation that directly checks the prefix without intermediate string creation.

**Type Safety Enhancement**: The addition of `isinstance(other, str)` prevents potential errors when comparing against non-string types (like `None`, numbers, or other objects), making the comparator more robust while maintaining the same logical behavior.

The test results show consistent 7-17% improvements across various test cases, with the largest gains on edge cases involving non-string comparisons (12-17% faster) due to the early type checking. The optimization is particularly effective for the comparison operation itself, which is likely called frequently in data processing workflows where decimal type checking is needed.

These micro-optimizations compound well because they reduce both the computational overhead of each comparison and the memory allocation cost of creating comparator instances, making the function more efficient in scenarios with repeated calls or large-scale data processing.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 19, 2025 11:41
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 19, 2025
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