⚡️ Speed up function funcA by 5,026%

[codeflash-ai]

📄 5,026% (50.26x) speedup for funcA in code_to_optimize/code_directories/simple_tracer_e2e/workload.py

⏱️ Runtime : 62.2 milliseconds → 1.21 milliseconds (best of 329 runs)

📝 Explanation and details

Here is an optimized version of your program.
Key improvements.

• The for loop for k is replaced with a formula for arithmetic series sum, eliminating iteration.
• The sum for j is done via the same formula (since sum(range(number)) is (number-1)*number//2).
• Used a list comprehension for str(i) and join, which is slightly faster than the generator form in this context.

This version will run much faster, especially for large number values. All logic and return values are preserved.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 49 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 number = 0, should return an empty string
    codeflash_output = funcA(0) # 3.00μs -> 2.15μs (39.4% faster)

def test_funcA_one():
    # Test with number = 1, should return "0"
    codeflash_output = funcA(1) # 6.29μs -> 2.50μs (151% faster)

def test_funcA_small_number():
    # Test with number = 5, should return "0 1 2 3 4"
    codeflash_output = funcA(5) # 20.8μs -> 3.00μs (591% faster)

def test_funcA_typical_number():
    # Test with number = 10, should return numbers 0-9 separated by space
    codeflash_output = funcA(10) # 40.0μs -> 3.36μs (1093% faster)

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

def test_funcA_negative_number():
    # Test with negative input, should return empty string (range(negative) is empty)
    codeflash_output = funcA(-5) # 2.58μs -> 1.96μs (31.1% faster)

def test_funcA_large_number_capped():
    # Test with number > 1000, should cap at 1000 and return "0 1 ... 999"
    codeflash_output = funcA(1500); result = codeflash_output # 4.27ms -> 80.1μs (5233% faster)
    # Should have 1000 numbers, space separated, from "0" to "999"
    parts = result.split(" ")

def test_funcA_exactly_1000():
    # Test with number = 1000, should return "0 1 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 4.20ms -> 72.9μs (5657% faster)
    parts = result.split(" ")

def test_funcA_number_is_string():
    # Test with string input, should raise TypeError
    with pytest.raises(TypeError):
        funcA("10")

def test_funcA_number_is_float():
    # Test with float input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(3.5)

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

def test_funcA_number_is_bool():
    # Test with boolean input, should treat True as 1 and False as 0
    # True -> 1, so output should be "0"
    codeflash_output = funcA(True) # 6.51μs -> 2.90μs (125% faster)
    # False -> 0, so output should be ""
    codeflash_output = funcA(False) # 1.76μs -> 1.30μs (35.5% faster)

def test_funcA_number_is_large_negative():
    # Test with a very large negative number, should return empty string
    codeflash_output = funcA(-999999) # 2.48μs -> 2.40μs (3.76% faster)

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

def test_funcA_large_scale_500():
    # Test with number = 500, check output correctness and performance
    codeflash_output = funcA(500); result = codeflash_output # 1.95ms -> 38.7μs (4933% faster)
    parts = result.split(" ")

def test_funcA_large_scale_999():
    # Test with number = 999, check output correctness
    codeflash_output = funcA(999); result = codeflash_output # 3.96ms -> 73.3μs (5303% faster)
    parts = result.split(" ")

def test_funcA_performance_upper_bound():
    # Test with number = 1000 (upper bound), check output correctness
    codeflash_output = funcA(1000); result = codeflash_output # 4.15ms -> 72.8μs (5596% faster)
    parts = result.split(" ")

def test_funcA_performance_upper_bound_plus_one():
    # Test with number = 1001 (should be capped at 1000)
    codeflash_output = funcA(1001); result = codeflash_output # 3.94ms -> 72.8μs (5318% faster)
    parts = result.split(" ")

# -----------------------
# Miscellaneous Edge Cases
# -----------------------

def test_funcA_number_is_maxint():
    # Test with sys.maxsize, should be capped at 1000
    import sys
    codeflash_output = funcA(sys.maxsize); result = codeflash_output # 3.99ms -> 71.9μs (5451% faster)
    parts = result.split(" ")

def test_funcA_number_is_minint():
    # Test with -sys.maxsize-1, should return empty string
    import sys
    codeflash_output = funcA(-sys.maxsize - 1); result = codeflash_output # 3.47μs -> 2.48μs (39.6% faster)

def test_funcA_number_is_list():
    # Test with list input, should raise TypeError
    with pytest.raises(TypeError):
        funcA([10])

def test_funcA_number_is_dict():
    # Test with dict input, should raise TypeError
    with pytest.raises(TypeError):
        funcA({'number': 10})
# 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 number = 0, should return empty string
    codeflash_output = funcA(0) # 2.79μs -> 2.02μs (37.6% faster)

def test_funcA_one():
    # Test with number = 1, should return "0"
    codeflash_output = funcA(1) # 6.22μs -> 2.40μs (159% faster)

def test_funcA_small_number():
    # Test with number = 5, should return "0 1 2 3 4"
    codeflash_output = funcA(5) # 20.6μs -> 2.98μs (593% faster)

def test_funcA_typical_number():
    # Test with number = 10, should return "0 1 2 3 4 5 6 7 8 9"
    codeflash_output = funcA(10) # 40.2μs -> 3.30μs (1120% faster)

def test_funcA_string_output_type():
    # Test output type is always string
    codeflash_output = funcA(7); result = codeflash_output # 28.0μs -> 3.04μs (818% faster)

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

def test_funcA_negative_number():
    # Negative numbers: Should act like range(negative), which is empty
    codeflash_output = funcA(-5) # 2.65μs -> 1.97μs (34.1% faster)

def test_funcA_large_number_cap():
    # Test with number > 1000, should cap at 1000 and return "0 1 ... 999"
    codeflash_output = funcA(1500); result = codeflash_output # 4.03ms -> 74.0μs (5352% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_at_cap():
    # Test with number = 1000, should return "0 1 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 4.24ms -> 73.0μs (5714% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_near_cap():
    # Test with number just below cap
    codeflash_output = funcA(999); result = codeflash_output # 4.19ms -> 72.6μs (5678% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_float_input():
    # Test with float input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(3.5)

def test_funcA_string_input():
    # Test with string input, should raise TypeError
    with pytest.raises(TypeError):
        funcA("10")

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

def test_funcA_boolean_input():
    # Test with boolean input, True treated as 1, False as 0
    codeflash_output = funcA(True) # 6.35μs -> 2.92μs (117% faster)
    codeflash_output = funcA(False) # 1.72μs -> 1.32μs (30.3% faster)

def test_funcA_large_negative():
    # Test with a large negative number
    codeflash_output = funcA(-99999) # 2.52μs -> 2.31μs (9.12% faster)

def test_funcA_minimum_integer():
    # Test with minimum possible integer (simulate)
    codeflash_output = funcA(-2**63) # 3.29μs -> 2.58μs (27.6% faster)

def test_funcA_maximum_integer():
    # Test with maximum possible integer (simulate)
    codeflash_output = funcA(2**63); result = codeflash_output # 3.94ms -> 74.3μs (5206% faster)
    expected = " ".join(str(i) for i in range(1000))

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

def test_funcA_large_scale_100():
    # Test with number = 100 (moderate large)
    codeflash_output = funcA(100); result = codeflash_output # 388μs -> 10.1μs (3743% faster)
    expected = " ".join(str(i) for i in range(100))

def test_funcA_large_scale_500():
    # Test with number = 500
    codeflash_output = funcA(500); result = codeflash_output # 1.96ms -> 38.3μs (5014% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with number = 999 (just below cap)
    codeflash_output = funcA(999); result = codeflash_output # 3.95ms -> 73.9μs (5240% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_cap():
    # Test with number = 1000 (exact cap)
    codeflash_output = funcA(1000); result = codeflash_output # 4.13ms -> 73.1μs (5545% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_scale_above_cap():
    # Test with number = 1050 (above cap)
    codeflash_output = funcA(1050); result = codeflash_output # 4.17ms -> 72.8μs (5626% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_performance():
    # Test that function runs within reasonable time for large input
    import time
    start = time.time()
    funcA(1000)
    duration = time.time() - start

# -------------------- Miscellaneous Robustness Tests --------------------

def test_funcA_non_integer_input():
    # Test with list input, should raise TypeError
    with pytest.raises(TypeError):
        funcA([1, 2, 3])

def test_funcA_dict_input():
    # Test with dict input, should raise TypeError
    with pytest.raises(TypeError):
        funcA({'a': 1})

def test_funcA_tuple_input():
    # Test with tuple input, should raise TypeError
    with pytest.raises(TypeError):
        funcA((5,))

def test_funcA_unicode_input():
    # Test with unicode string input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(u"5")

def test_funcA_bytes_input():
    # Test with bytes input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(b"5")
# 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-mccuus7u and push.