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@codeflash-ai codeflash-ai bot commented Jul 1, 2025

📄 4,080% (40.80x) speedup for funcA in code_to_optimize/code_directories/simple_tracer_e2e/workload.py

⏱️ Runtime : 61.3 milliseconds 1.47 milliseconds (best of 282 runs)

📝 Explanation and details

Here’s an optimized version of your program with the same function signature, output, and with all variable return values preserved.
The changes focus on minimizing unnecessary operations, removing redundant or unused calculations, and improving generator efficiency.

Explanation of changes:

  • Removed the computation of k and j, as these are not used in the return statement and thus are unnecessary for correctness or side effects.
  • Used map(str, range(number)) instead of a generator expression in join, which is marginally faster and more memory efficient.

Performance: This new code runs much faster, especially for large values of number.
Memory: The change reduces memory use by not allocating unneeded data.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 56 Passed
⏪ Replay Tests 3 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from workload import funcA

# unit tests

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

def test_funcA_zero():
    # Test with input 0, should return empty string (no numbers)
    codeflash_output = funcA(0) # 2.58μs -> 1.61μs (59.7% faster)

def test_funcA_one():
    # Test with input 1, should return "0"
    codeflash_output = funcA(1) # 5.89μs -> 1.91μs (208% faster)

def test_funcA_small_number():
    # Test with small number, e.g. 5
    codeflash_output = funcA(5) # 18.4μs -> 2.31μs (698% faster)

def test_funcA_typical_number():
    # Test with a typical number, e.g. 10
    codeflash_output = funcA(10) # 34.2μs -> 2.63μs (1199% faster)

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

def test_funcA_negative_number():
    # Negative numbers: range(n) is empty, so should return empty string
    codeflash_output = funcA(-5) # 2.42μs -> 1.44μs (67.5% faster)

def test_funcA_large_but_below_cap():
    # Test with 999, just below cap
    expected = " ".join(str(i) for i in range(999))
    codeflash_output = funcA(999) # 3.35ms -> 75.5μs (4333% faster)

def test_funcA_at_cap():
    # Test with 1000, at cap, should include 0 to 999
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1000) # 3.36ms -> 75.1μs (4371% faster)

def test_funcA_above_cap():
    # Test with above cap, e.g. 1500, should be capped at 1000
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1500) # 3.37ms -> 75.2μs (4378% faster)

def test_funcA_huge_negative():
    # Test with a very large negative number
    codeflash_output = funcA(-100000) # 2.52μs -> 1.46μs (72.5% faster)

def test_funcA_non_integer_input():
    # Test with non-integer input, e.g. float, should raise TypeError
    with pytest.raises(TypeError):
        funcA(5.5)
    with pytest.raises(TypeError):
        funcA("10")
    with pytest.raises(TypeError):
        funcA(None)

def test_funcA_bool_input():
    # Test with boolean input, True is 1, False is 0
    # This is a subtle edge: bool is subclass of int in Python
    codeflash_output = funcA(True) # 6.49μs -> 2.23μs (191% faster)
    codeflash_output = funcA(False) # 1.64μs -> 972ns (69.0% faster)

def test_funcA_minimum_integer():
    # Test with minimum integer (simulate 32-bit min)
    codeflash_output = funcA(-2**31) # 2.76μs -> 1.54μs (78.6% faster)

def test_funcA_maximum_integer():
    # Test with maximum integer (simulate 32-bit max), should cap at 1000
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(2**31-1) # 3.34ms -> 75.8μs (4310% faster)

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

def test_funcA_large_scale_just_below_cap():
    # Test with 999, should return 999 numbers
    codeflash_output = funcA(999); result = codeflash_output # 3.35ms -> 76.4μs (4290% faster)
    parts = result.split(" ")

def test_funcA_large_scale_at_cap():
    # Test with 1000, should return 1000 numbers, from 0 to 999
    codeflash_output = funcA(1000); result = codeflash_output # 3.35ms -> 76.4μs (4292% faster)
    parts = result.split(" ")

def test_funcA_large_scale_above_cap():
    # Test with 1200, should still return 1000 numbers, from 0 to 999
    codeflash_output = funcA(1200); result = codeflash_output # 3.35ms -> 76.1μs (4309% faster)
    parts = result.split(" ")


def test_funcA_mutation_guard_missing_space():
    # If the join separator is not " ", the output will not match
    codeflash_output = funcA(3) # 11.8μs -> 2.23μs (429% faster)

def test_funcA_mutation_guard_wrong_range():
    # If the range is off by one, the output will not match
    codeflash_output = funcA(2) # 8.61μs -> 1.97μs (336% faster)

def test_funcA_mutation_guard_wrong_cap():
    # If cap is not 1000, the output will not match for input > 1000
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(5000) # 3.35ms -> 75.1μs (4353% faster)

def test_funcA_mutation_guard_wrong_type():
    # If function accepts float and truncates or rounds, that's incorrect
    with pytest.raises(TypeError):
        funcA(2.0)

# -------------------
# Miscellaneous/Robustness
# -------------------

@pytest.mark.parametrize("n,expected", [
    (0, ""),
    (1, "0"),
    (2, "0 1"),
    (3, "0 1 2"),
    (10, "0 1 2 3 4 5 6 7 8 9"),
    (999, " ".join(str(i) for i in range(999))),
    (1000, " ".join(str(i) for i in range(1000))),
    (1001, " ".join(str(i) for i in range(1000))),
    (-1, ""),
])
def test_funcA_parametrized(n, expected):
    # Parametrized basic and edge cases for concise coverage
    codeflash_output = funcA(n) # 2.62μs -> 1.54μs (69.5% 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 workload import funcA

# unit tests

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

def test_funcA_zero():
    # Test with input 0 (should return an empty string, as range(0) is empty)
    codeflash_output = funcA(0) # 2.54μs -> 1.54μs (65.0% faster)

def test_funcA_one():
    # Test with input 1 (should return "0")
    codeflash_output = funcA(1) # 5.96μs -> 1.99μs (199% faster)

def test_funcA_small_number():
    # Test with a small positive number
    codeflash_output = funcA(3) # 12.0μs -> 2.12μs (466% faster)

def test_funcA_typical_number():
    # Test with a typical number within the threshold
    codeflash_output = funcA(10) # 34.6μs -> 2.65μs (1210% faster)

def test_funcA_just_below_threshold():
    # Test with number just below the threshold (999)
    expected = " ".join(str(i) for i in range(999))
    codeflash_output = funcA(999) # 3.35ms -> 75.7μs (4324% faster)

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

def test_funcA_exactly_threshold():
    # Test with input exactly at the threshold (1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1000) # 3.37ms -> 75.4μs (4370% faster)

def test_funcA_above_threshold():
    # Test with input above the threshold (should be capped at 1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1500) # 3.31ms -> 75.0μs (4314% faster)

def test_funcA_negative_number():
    # Test with negative input (range(-5) is empty, so should return empty string)
    codeflash_output = funcA(-5) # 2.62μs -> 1.51μs (73.5% faster)

def test_funcA_large_negative_number():
    # Test with a large negative input (should also return empty string)
    codeflash_output = funcA(-10000) # 2.49μs -> 1.39μs (79.0% faster)

def test_funcA_float_input_truncated():
    # Test with float input (should raise TypeError, as range expects int)
    with pytest.raises(TypeError):
        funcA(3.5)

def test_funcA_string_input():
    # Test with string input (should raise TypeError)
    with pytest.raises(TypeError):
        funcA("5")

def test_funcA_none_input():
    # Test with None as input (should raise TypeError)
    with pytest.raises(TypeError):
        funcA(None)

def test_funcA_bool_input():
    # Test with boolean input (True is 1, so should return "0")
    codeflash_output = funcA(True) # 6.45μs -> 2.21μs (191% faster)
    # False is 0, so should return empty string
    codeflash_output = funcA(False) # 1.68μs -> 942ns (78.7% faster)

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

def test_funcA_large_input_just_below_cap():
    # Test with large input just below the cap (999)
    codeflash_output = funcA(999); result = codeflash_output # 3.38ms -> 78.3μs (4218% faster)

def test_funcA_large_input_at_cap():
    # Test with input at the cap (1000)
    codeflash_output = funcA(1000); result = codeflash_output # 3.34ms -> 77.0μs (4235% faster)

def test_funcA_large_input_above_cap():
    # Test with input above the cap (should be capped at 1000)
    codeflash_output = funcA(2000); result = codeflash_output # 3.36ms -> 76.8μs (4273% faster)

def test_funcA_performance_large_input(benchmark):
    # Benchmark performance for large input at cap
    result = benchmark(funcA, 1000)

# ---------------------------
# Additional Edge Cases
# ---------------------------

@pytest.mark.parametrize("input_val,expected", [
    (2, "0 1"),
    (5, "0 1 2 3 4"),
    (100, " ".join(str(i) for i in range(100))),
])
def test_funcA_various_small_inputs(input_val, expected):
    # Parameterized test for various small valid inputs
    codeflash_output = funcA(input_val) # 9.03μs -> 2.35μs (283% faster)

def test_funcA_mutation_resistance():
    # Changing the join separator should fail this test
    codeflash_output = funcA(5); result = codeflash_output # 18.2μs -> 2.29μs (694% faster)

def test_funcA_no_trailing_space():
    # There should be no trailing space at the end of the result
    codeflash_output = funcA(10); result = codeflash_output # 34.0μs -> 2.65μs (1181% faster)

def test_funcA_no_leading_space():
    # There should be no leading space at the start of the result
    codeflash_output = funcA(10); result = codeflash_output # 34.4μs -> 2.63μs (1205% faster)
# 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-funcA-mcl354ik and push.

Codeflash

Here’s an optimized version of your program with the same function signature, output, and with all variable return values preserved.  
The changes focus on minimizing unnecessary operations, removing redundant or unused calculations, and improving generator efficiency.



**Explanation of changes:**
- Removed the computation of `k` and `j`, as these are not used in the return statement and thus are unnecessary for correctness or side effects.
- Used `map(str, range(number))` instead of a generator expression in `join`, which is marginally faster and more memory efficient.

**Performance**: This new code runs much faster, especially for large values of `number`.  
**Memory**: The change reduces memory use by not allocating unneeded data.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jul 1, 2025
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 July 1, 2025 22:14
@KRRT7 KRRT7 closed this Jul 1, 2025
@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-funcA-mcl354ik branch July 1, 2025 22:27
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