⚡️ Speed up function gather_tuple by 8%

[codeflash-ai]

📄 8% (0.08x) speedup for gather_tuple in src/uberjob/_builtins.py

⏱️ Runtime : 27.0 microseconds → 25.1 microseconds (best of 154 runs)

📝 Explanation and details

The optimization eliminates an unnecessary tuple constructor call by directly returning the args tuple that Python's varargs mechanism (*args) already creates.

Key Change:

• Before: return tuple(args) - explicitly constructs a new tuple from the existing args tuple
• After: return args - directly returns the tuple that *args already is

Why This Is Faster:
When Python processes *args, it automatically packages the arguments into a tuple. The original code then unnecessarily calls tuple(args) to create a second tuple containing the same elements, requiring:

1. Memory allocation for the new tuple
2. Iteration over the original tuple elements
3. Copying each reference to the new tuple

The optimized version skips this redundant construction, directly returning the tuple that already exists.

Performance Impact:

• 7% overall speedup with consistent improvements across all test cases
• Best gains on simple cases: 20-31% faster for empty tuples, single elements, and boolean values
• Smaller but consistent gains on complex cases: 2-4% faster even with 1000+ elements
• Per-hit improvement: 772ns → 580ns per call (25% reduction in per-call overhead)

The optimization maintains identical behavior since tuple(args) and args produce equivalent results when args is already a tuple from varargs. This is particularly valuable for lightweight utility functions that may be called frequently in data processing pipelines.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 1 Passed
🌀 Generated Regression Tests	✅ 48 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 1 Passed
📊 Tests Coverage	100.0%

⚙️ Existing Unit Tests and Runtime

🌀 Generated Regression Tests and Runtime

import pytest  # used for our unit tests
from uberjob._builtins import gather_tuple

# unit tests

# --- Basic Test Cases ---


def test_gather_tuple_empty():
    # Test with no arguments (should return empty tuple)
    codeflash_output = gather_tuple()  # 404ns -> 335ns (20.6% faster)


def test_gather_tuple_single_element():
    # Test with a single argument
    codeflash_output = gather_tuple(42)  # 419ns -> 345ns (21.4% faster)


def test_gather_tuple_multiple_elements():
    # Test with multiple arguments
    codeflash_output = gather_tuple(1, "a", None, 3.14)  # 372ns -> 355ns (4.79% faster)


def test_gather_tuple_mixed_types():
    # Test with mixed types
    codeflash_output = gather_tuple(
        "x", [1, 2], {"a": 1}, 3.5
    )  # 396ns -> 343ns (15.5% faster)


def test_gather_tuple_nested_tuple():
    # Test with a tuple as an argument
    t = (1, 2)
    codeflash_output = gather_tuple(t)  # 369ns -> 353ns (4.53% faster)


# --- Edge Test Cases ---


def test_gather_tuple_with_none():
    # Test with None as an argument
    codeflash_output = gather_tuple(None)  # 371ns -> 350ns (6.00% faster)


def test_gather_tuple_with_boolean():
    # Test with boolean values
    codeflash_output = gather_tuple(True, False)  # 393ns -> 300ns (31.0% faster)


def test_gather_tuple_with_large_int():
    # Test with large integers
    large_int = 10**18
    codeflash_output = gather_tuple(large_int)  # 424ns -> 383ns (10.7% faster)


def test_gather_tuple_with_special_characters():
    # Test with strings containing special characters
    codeflash_output = gather_tuple("!@#$%^&*()")  # 413ns -> 367ns (12.5% faster)


def test_gather_tuple_with_empty_string_and_list():
    # Test with empty string and empty list
    codeflash_output = gather_tuple("", [])  # 396ns -> 323ns (22.6% faster)


def test_gather_tuple_with_duplicate_values():
    # Test with duplicate values
    codeflash_output = gather_tuple(1, 1, 1)  # 381ns -> 368ns (3.53% faster)


def test_gather_tuple_with_unhashable_objects():
    # Test with unhashable objects (lists, dicts)
    l = [1, 2]
    d = {"x": 1}
    codeflash_output = gather_tuple(l, d)  # 396ns -> 381ns (3.94% faster)


def test_gather_tuple_with_custom_object():
    # Test with a custom class instance
    class Foo:
        pass

    foo = Foo()
    codeflash_output = gather_tuple(foo)  # 428ns -> 348ns (23.0% faster)


def test_gather_tuple_with_args_are_tuple():
    # Test with a tuple as argument, not unpacked
    t = (1, 2, 3)
    codeflash_output = gather_tuple(t)  # 407ns -> 354ns (15.0% faster)


# --- Large Scale Test Cases ---


def test_gather_tuple_many_elements():
    # Test with 1000 elements
    data = list(range(1000))
    codeflash_output = gather_tuple(*data)
    result = codeflash_output  # 1.74μs -> 1.67μs (3.77% faster)


def test_gather_tuple_large_strings():
    # Test with large strings as arguments
    s1 = "a" * 500
    s2 = "b" * 500
    codeflash_output = gather_tuple(s1, s2)
    result = codeflash_output  # 366ns -> 352ns (3.98% faster)


def test_gather_tuple_large_nested_structures():
    # Test with large nested lists and dicts
    big_list = [i for i in range(500)]
    big_dict = {str(i): i for i in range(500)}
    codeflash_output = gather_tuple(big_list, big_dict)
    result = codeflash_output  # 382ns -> 342ns (11.7% faster)


def test_gather_tuple_large_number_of_none():
    # Test with many None values
    codeflash_output = gather_tuple(*([None] * 1000))
    result = codeflash_output  # 1.29μs -> 1.30μs (0.997% slower)


def test_gather_tuple_large_mixed_types():
    # Test with a large number of mixed types
    data = [i if i % 2 == 0 else str(i) for i in range(1000)]
    codeflash_output = gather_tuple(*data)
    result = codeflash_output  # 1.73μs -> 1.66μs (3.79% faster)


# --- Determinism Test ---


def test_gather_tuple_determinism():
    # Calling gather_tuple with same args should always return same result
    args = (1, "a", None)
    codeflash_output = gather_tuple(*args)  # 387ns -> 343ns (12.8% faster)


# --- Mutation Resistance Test ---


def test_gather_tuple_mutation_resistance():
    # If gather_tuple returns a list instead of tuple, this test will fail
    args = [1, 2, 3]
    codeflash_output = gather_tuple(*args)
    result = codeflash_output  # 350ns -> 331ns (5.74% faster)


# --- Readability and Cleanliness Test ---


def test_gather_tuple_readability():
    # Test that gather_tuple returns values in the same order as input
    args = ("first", "second", "third")
    codeflash_output = gather_tuple(*args)
    result = codeflash_output  # 360ns -> 348ns (3.45% faster)


# --- Test with Keyword Arguments (should ignore them) ---


def test_gather_tuple_with_kwargs():
    # gather_tuple does not accept keyword arguments, should raise TypeError
    with pytest.raises(TypeError):
        gather_tuple(a=1, b=2)  # 1.35μs -> 1.28μs (5.23% faster)


# --- Test with unpacked tuple and list ---


def test_gather_tuple_with_unpacked_tuple_and_list():
    # Test with unpacked tuple and list
    t = (1, 2)
    l = [3, 4]
    codeflash_output = gather_tuple(*t, *l)
    result = codeflash_output  # 393ns -> 374ns (5.08% faster)


# --- Test with unpacked dictionary keys ---


def test_gather_tuple_with_unpacked_dict_keys():
    # Test with unpacked dictionary keys (should pass keys as positional arguments)
    d = {"x": 1, "y": 2}
    codeflash_output = gather_tuple(*d)
    result = codeflash_output  # 379ns -> 351ns (7.98% 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 uberjob._builtins import gather_tuple

# unit tests

# ===========================
# Basic Test Cases
# ===========================


def test_gather_tuple_empty():
    # Test with no arguments
    codeflash_output = gather_tuple()  # 412ns -> 345ns (19.4% faster)


def test_gather_tuple_single_element():
    # Test with a single argument
    codeflash_output = gather_tuple(42)  # 450ns -> 399ns (12.8% faster)


def test_gather_tuple_multiple_elements():
    # Test with multiple arguments
    codeflash_output = gather_tuple(1, 2, 3)  # 394ns -> 362ns (8.84% faster)


def test_gather_tuple_different_types():
    # Test with different types of arguments
    codeflash_output = gather_tuple(1, "a", 3.5, None, True)
    result = codeflash_output  # 376ns -> 373ns (0.804% faster)
    expected = (1, "a", 3.5, None, True)


def test_gather_tuple_nested_tuples():
    # Test with tuple arguments
    codeflash_output = gather_tuple((1, 2), (3, 4))
    result = codeflash_output  # 386ns -> 345ns (11.9% faster)
    expected = ((1, 2), (3, 4))


# ===========================
# Edge Test Cases
# ===========================


def test_gather_tuple_with_none():
    # Test with None as argument
    codeflash_output = gather_tuple(None)  # 432ns -> 357ns (21.0% faster)


def test_gather_tuple_with_empty_string():
    # Test with empty string
    codeflash_output = gather_tuple("")  # 441ns -> 413ns (6.78% faster)


def test_gather_tuple_with_empty_list():
    # Test with empty list
    codeflash_output = gather_tuple([])  # 434ns -> 377ns (15.1% faster)


def test_gather_tuple_with_large_integers():
    # Test with very large integer
    large_int = 10**100
    codeflash_output = gather_tuple(large_int)  # 404ns -> 379ns (6.60% faster)


def test_gather_tuple_with_special_objects():
    # Test with custom object
    class Dummy:
        pass

    obj = Dummy()
    codeflash_output = gather_tuple(obj)  # 426ns -> 350ns (21.7% faster)


def test_gather_tuple_with_boolean_values():
    # Test with booleans
    codeflash_output = gather_tuple(True, False)  # 403ns -> 369ns (9.21% faster)


def test_gather_tuple_with_duplicate_values():
    # Test with duplicate values
    codeflash_output = gather_tuple(1, 1, 1)  # 361ns -> 355ns (1.69% faster)


def test_gather_tuple_with_unhashable_types():
    # Test with unhashable types (e.g., lists, dicts)
    codeflash_output = gather_tuple([1, 2], {"a": 1})
    result = codeflash_output  # 377ns -> 339ns (11.2% faster)
    expected = ([1, 2], {"a": 1})


# ===========================
# Large Scale Test Cases
# ===========================


def test_gather_tuple_large_number_of_elements():
    # Test with a large number of arguments (up to 1000)
    large_list = list(range(1000))
    codeflash_output = gather_tuple(*large_list)
    result = codeflash_output  # 1.73μs -> 1.69μs (2.25% faster)
    expected = tuple(large_list)


def test_gather_tuple_large_strings():
    # Test with large strings
    s = "x" * 1000
    codeflash_output = gather_tuple(s, s)
    result = codeflash_output  # 391ns -> 354ns (10.5% faster)
    expected = (s, s)


def test_gather_tuple_large_mixed_types():
    # Test with mixed types and large data
    large_int = 10**50
    large_str = "y" * 500
    large_list = list(range(500))
    codeflash_output = gather_tuple(large_int, large_str, large_list)
    result = codeflash_output  # 363ns -> 347ns (4.61% faster)
    expected = (large_int, large_str, large_list)


def test_gather_tuple_large_nested_tuples():
    # Test with large nested tuples
    nested = tuple(range(500))
    codeflash_output = gather_tuple(nested, nested)
    result = codeflash_output  # 361ns -> 355ns (1.69% faster)
    expected = (nested, nested)


def test_gather_tuple_large_duplicate_elements():
    # Test with many duplicate elements
    codeflash_output = gather_tuple(*([7] * 1000))
    result = codeflash_output  # 1.31μs -> 1.31μs (0.306% faster)
    expected = tuple([7] * 1000)


# ===========================
# Determinism and Order
# ===========================


def test_gather_tuple_order_is_preserved():
    # Test that order of arguments is preserved
    args = [3, "b", 1, "a"]
    codeflash_output = gather_tuple(*args)
    result = codeflash_output  # 406ns -> 369ns (10.0% faster)
    expected = tuple(args)


def test_gather_tuple_is_deterministic():
    # Test that repeated calls with same arguments produce same result
    args = (1, 2, 3)
    codeflash_output = gather_tuple(*args)  # 399ns -> 320ns (24.7% faster)


# ===========================
# Type Safety
# ===========================


def test_gather_tuple_returns_tuple_type():
    # Test that result is always a tuple
    codeflash_output = gather_tuple(1, 2)
    result = codeflash_output  # 393ns -> 381ns (3.15% faster)


def test_gather_tuple_with_no_arguments_returns_tuple_type():
    # Test that result is tuple even when empty
    codeflash_output = gather_tuple()
    result = codeflash_output  # 376ns -> 317ns (18.6% faster)


# ===========================
# Error Handling (should NOT raise)
# ===========================


def test_gather_tuple_does_not_raise_on_valid_inputs():
    # Should not raise for any valid input
    try:
        gather_tuple(1, "a", None, [1, 2], {"k": "v"})
    except Exception as e:
        raise AssertionError(
            f"Function should not raise on valid inputs, but raised: {e}"
        )


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

from uberjob._builtins import gather_tuple


def test_gather_tuple():
    gather_tuple()

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_o07hr7m9/tmp3yq_olrn/test_concolic_coverage.py::test_gather_tuple	568ns	461ns	23.2%✅

To edit these changes git checkout codeflash/optimize-gather_tuple-mi6tzb0d and push.